HICP_and_ECB_Rates.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "responsible-steel",
   "metadata": {},
   "source": [
    "# Eurozone consumer prices inflation, ECB Deposit Facility, Market Yield on Government Bonds at 10-Year, wage inflation, and Riskless Yield Curve\n",
    "This notebook jaxteposes the evolution of Eurozone consumer prices inflation as measured by the HICP (Harmonized Index of Consumer Prices) with ECB Deposit Facility Rate and 10 year Government Bond yields. It then looks at the the relationship between riskfree rates (e.g. 10-year AAA-rated eurozone central government bonds rates) and Eurozone HICP + real GDP growth rates. HICP + GDP growth rates is known as _the intrinsic riskfree rate_. In theory the 10-year AAA-rated eurozone central government bond rate such as that for 10-Year Germany government bonds should be similar to the intrinsic riskfree rate. This notebook looks at how this played out since the 90's.\n",
    "\n",
    "I then look at Euroarea wage inflation data.\n",
    "\n",
    "Finally, I look at the evolution of the Euro riskless rate curve as defined by the yields on AAA-rated eurozone central government bonds.\n",
    "\n",
    "**NB**: Throughout this notebook in datasets with a quarterly frequency, data indexed to the start of a quarter designates the whole quarter starting on that date."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "casual-border",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment if running in Google Colaboratory, otherwise the import of the curves module in the cell below will fail\n",
    "#!git clone -l -s https://github.com/ilchen/US_Economic_Data_Analysis.git cloned-repo\n",
    "#%cd cloned-repo\n",
    "\n",
    "# Install the latest version of eurostat\n",
    "# !pip install eurostat -U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "blank-cassette",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.ticker as mtick\n",
    "import pandas_datareader.data as web\n",
    "from pandas.tseries.offsets import MonthBegin, BDay, QuarterBegin\n",
    "\n",
    "import eurostat\n",
    "\n",
    "from datetime import date\n",
    "\n",
    "from dateutil.relativedelta import relativedelta\n",
    "\n",
    "from pricing import curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "former-nitrogen",
   "metadata": {},
   "outputs": [],
   "source": [
    "report_start = date.fromisoformat('1996-01-01')\n",
    "report_end = date.today()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "advanced-width",
   "metadata": {},
   "source": [
    "### Get Consumer Price Index for the Eurozone, ECB Deposit Facility Rate, 10 Year Government Bond Yields, and Real GDP\n",
    "I use the following dataseries provided by [FRED](https://fred.stlouisfed.org/):\n",
    "* `ECBDFR` &mdash; ECB Deposit Facility Rate for Euro Area (daily frequency, from 1999)\n",
    "* `ECBMLFR` &mdash; ECB Marginal Lending Facility Rate for Euro Area (daily frequency, from 1999). This is the rate at which banks can borrow money from the central bank against collateral for a period of one day (overnight). This rate is always higher than the main refinancing rate and therefore sets an upper limit for money market rates.\n",
    "\n",
    "And the following dataseries provided by the [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `irt_lt_mcby_m` &mdash; EMU convergence criterion series (monthly frequency). This series returns a dataset containing Long-Term Government Bond Yields for the Eurozone at 10-year maturity. I use it instead of the `IRLTLT01DEM156N` and `IRLTLT01ITM156N` datasets returned by FRED given that Eurostat's database tends to be updated earlier than that of FRED for Eurozone data.\n",
    "* `prc_hicp_midx` &mdash; Harmonized Index of Consumer Prices: All Items for the Eurozone (monthly frequency, 2015=100, from 1996)\n",
    "\n",
    "There's a relationship between the riskless rate as represented by AAA-rated eurozone central government bonds rates on the one hand and real GDP growth and inflation rates on the other hand. I use 10-year Germany Bond Yields as proxy for riskless long-term rates in the Eurozone given Germany's AAA credit rating. At the end of this section I look at real GDP developments in conjunction with the inflation of consumer prices. To calculate GDP growth for the Euro area I make use of the following dataseries from [Eurostat](https://ec.europa.eu/eurostat/databrowser/view/NAMQ_10_GDP/default/table?lang=en):\n",
    "* `namq_10_gdp` — Real Gross Domestic Product for the Eurozone, Millions of Chained 2010 Euros (quarterly frequency, from 1996). The closest series published by the FRED is `CLVMEURSCAB1GQEA19`, however it is still based on the old configuration of the Eurozone (EA19) so I don't use it. I make use of both non seasonally adjusted as well as seasonally and calendar adjusted data. This is needed because I want to obtain both annual GDP growth (i.e. growth over four quarters) as well as quarterly GDP growth and express the latter at an annual rate. I use the following formula to translate quarterly changes into annual rates:\n",
    "\n",
    "$$\\left(\\left({\\text{level of quarter n+1} \\over \\text{level of quarter n}}\\right)^4-1\\right)\\times 100\\% $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "voluntary-maker",
   "metadata": {},
   "outputs": [],
   "source": [
    "ecbr = web.get_data_fred(['ECBDFR', 'ECBMLFR'], start=report_start, end=report_end)\n",
    "\n",
    "# Retrieving the most recent Eurozone CPI and government bond yields from Eurostat's database\n",
    "EUROSTAT_DE_COUNTRY_LABEL = 'DE'\n",
    "EUROSTAT_IT_COUNTRY_LABEL = 'IT'\n",
    "eu_irt_lt = eurostat.get_data_df('irt_lt_mcby_m',\n",
    "        filter_pars={'startPeriod': report_start, 'geo': ['DE', 'IT']}).iloc[:, 2:]\n",
    "eu_irt_lt = eu_irt_lt.set_index(eu_irt_lt.columns[0]).T\n",
    "eu_irt_lt = eu_irt_lt.set_axis(pd.DatetimeIndex(eu_irt_lt.index, 'MS')).astype(ecbr.dtypes.iloc[0])\n",
    "\n",
    "# Using Eurozone price index 2015=100, and All-items HICP: CP00 \n",
    "eu_hicp = eurostat.get_data_df('prc_hicp_midx',\n",
    "               filter_pars={'startPeriod': report_start, 'unit': 'I15', 'coicop': 'CP00', 'geo': 'EA'}).iloc[:, 3:]\n",
    "eu_hicp = eu_hicp.set_index(eu_hicp.columns[0]).T\n",
    "eu_hicp = eu_hicp.set_axis(pd.DatetimeIndex(eu_hicp.index, 'MS'))\n",
    "# Since prc_hicp_midx is indexed to 2015=100, we need to convert it to annual percentage changes\n",
    "eu_hicp_annual = eu_hicp.pct_change(12)\n",
    "\n",
    "# Make frequencies explicit, resample to month srart\n",
    "ecbr = ecbr.asfreq('D').resample('MS').last()\n",
    "\n",
    "# Merge and truncate to start of celendar year 1999.\n",
    "cpi_ecbr_irtlt = pd.concat([eu_hicp_annual, eu_irt_lt, ecbr], axis=1).loc['1997':]\n",
    "\n",
    "cpi_ecbr_irtlt = cpi_ecbr_irtlt[['EA', 'ECBDFR', 'ECBMLFR', 'DE', 'IT']]\n",
    "\n",
    "DE_YIELD_LABEL = '10y German Government Bond Yield'\n",
    "IT_YIELD_LABEL = '10y Italian Government Bond Yield'\n",
    "ECB_DEPOSIT_RATE_LABEL = 'ECB Deposit Facility Rate'\n",
    "GRAPH_TITLE_HICP = 'Eurozone annual HICP, ECB Deposit Facility and Marginal Lending Rates, and 10y Government Bond Yields'\n",
    "GRAPH_TITLE_HICP_2 = 'Eurozone annual HICP, ECB Deposit Facility, and 10y Government Bond Yields'\n",
    "cpi_ecbr_irtlt.rename(\n",
    "    columns={'EA': 'Annual Eurozone HICP',\n",
    "             'ECBDFR': ECB_DEPOSIT_RATE_LABEL, 'ECBMLFR': 'ECB Marginal Lending Facility Rate',\n",
    "             EUROSTAT_DE_COUNTRY_LABEL: DE_YIELD_LABEL,\n",
    "             EUROSTAT_IT_COUNTRY_LABEL: IT_YIELD_LABEL},\n",
    "    inplace=True)\n",
    "\n",
    "# Querying for non seasonally adjusted, seasonally and calendar adjusted all-items Eurozone GDP data\n",
    "# in chained linked volumes of 2010\n",
    "real_gdp = eurostat.get_data_df('namq_10_gdp', filter_pars={\n",
    "    'startPeriod': report_start, 'unit': 'CLV10_MEUR', 's_adj': ['NSA', 'SCA'], 'na_item': 'B1GQ', 'geo': 'EA'}).iloc[:, 4:]\n",
    "real_gdp = real_gdp.set_index(real_gdp.columns[0]).T\n",
    "real_gdp = real_gdp.set_axis(pd.DatetimeIndex(real_gdp.index, 'QS'))\n",
    "\n",
    "# Seasonally adjusted data is in the second column, it is more suitable for extrapolating GDP quarterly growth\n",
    "# at an annual rate\n",
    "real_gdp_quarterly = ((real_gdp.iloc[:,1]/real_gdp.iloc[:,1].shift(1)).pow(4)-1)\n",
    "real_gdp = real_gdp.iloc[:,:1]\n",
    "real_gdp.rename(columns={'EA': 'Real GDP'}, inplace=True)\n",
    "\n",
    "# To calculate the annual rate of GDP growth I sum up the non-seasonally adjusted GDP over the last 4 quarters.\n",
    "# If Eurostat were publishing seasonally adjusted GDP data at annual volumes (as is the case in the US),\n",
    "# I could calculate the mean over the past 4 quarters and use it as the actual annual GDP. \n",
    "real_gdp = real_gdp.rolling(4).sum().pct_change(4, fill_method=None)\n",
    "real_gdp['Real GDP over quarter at annual rate'] = real_gdp_quarterly\n",
    "real_gdp = real_gdp.loc['1997':]\n",
    "real_gdp.columns.names = [None]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "smooth-forestry",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the mean rate for the current month and, if needed, for the one before too\n",
    "rmth_start = cpi_ecbr_irtlt.index[-2 if pd.isna(cpi_ecbr_irtlt.iloc[-2, -1]) else -1].date()\n",
    "\n",
    "eu_irt_lt_cur_mth = eurostat.get_data_df('irt_lt_mcby_d',\n",
    "        filter_pars={'startPeriod': rmth_start, 'geo': ['DE', 'IT']}).iloc[:, 2:]\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.set_index(eu_irt_lt_cur_mth.columns[0]).T\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.set_axis(pd.DatetimeIndex(eu_irt_lt_cur_mth.index, 'B')).astype(ecbr.dtypes.iloc[0])\n",
    "eu_irt_lt_cur_mth.rename(\n",
    "    columns={EUROSTAT_DE_COUNTRY_LABEL: DE_YIELD_LABEL,\n",
    "             EUROSTAT_IT_COUNTRY_LABEL: IT_YIELD_LABEL},\n",
    "    inplace=True)\n",
    "eu_irt_lt_cur_mth = eu_irt_lt_cur_mth.asfreq('D').resample('MS').mean()\n",
    "cpi_ecbr_irtlt.loc['2022':, [DE_YIELD_LABEL, IT_YIELD_LABEL]].update(eu_irt_lt_cur_mth)\n",
    "cpi_ecbr_irtlt.update(eu_irt_lt_cur_mth)\n",
    "\n",
    "# Convert to percentage points\n",
    "cpi_ecbr_irtlt.iloc[:,[1,2,3,4]] /= 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "blond-shaft",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>ECB Deposit Facility Rate</th>\n",
       "      <th>ECB Marginal Lending Facility Rate</th>\n",
       "      <th>10y German Government Bond Yield</th>\n",
       "      <th>10y Italian Government Bond Yield</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999-01-01</th>\n",
       "      <td>0.7650%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>3.7000%</td>\n",
       "      <td>3.9200%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-02-01</th>\n",
       "      <td>0.7357%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>3.8500%</td>\n",
       "      <td>4.0500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-03-01</th>\n",
       "      <td>0.9393%</td>\n",
       "      <td>2.0000%</td>\n",
       "      <td>4.5000%</td>\n",
       "      <td>4.0400%</td>\n",
       "      <td>4.2700%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-04-01</th>\n",
       "      <td>1.0732%</td>\n",
       "      <td>1.5000%</td>\n",
       "      <td>3.5000%</td>\n",
       "      <td>3.8500%</td>\n",
       "      <td>4.1100%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-05-01</th>\n",
       "      <td>0.9355%</td>\n",
       "      <td>1.5000%</td>\n",
       "      <td>3.5000%</td>\n",
       "      <td>4.0100%</td>\n",
       "      <td>4.2800%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-01</th>\n",
       "      <td>1.9994%</td>\n",
       "      <td>3.2500%</td>\n",
       "      <td>3.6500%</td>\n",
       "      <td>2.2300%</td>\n",
       "      <td>3.5000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-11-01</th>\n",
       "      <td>2.2366%</td>\n",
       "      <td>3.2500%</td>\n",
       "      <td>3.6500%</td>\n",
       "      <td>2.3100%</td>\n",
       "      <td>3.5700%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-12-01</th>\n",
       "      <td>2.4345%</td>\n",
       "      <td>3.0000%</td>\n",
       "      <td>3.4000%</td>\n",
       "      <td>2.1800%</td>\n",
       "      <td>3.3200%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-01</th>\n",
       "      <td>2.5162%</td>\n",
       "      <td>3.0000%</td>\n",
       "      <td>3.4000%</td>\n",
       "      <td>2.4836%</td>\n",
       "      <td>3.6768%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-02-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.7500%</td>\n",
       "      <td>3.1500%</td>\n",
       "      <td>2.3467%</td>\n",
       "      <td>3.5567%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>314 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Annual Eurozone HICP  ECB Deposit Facility Rate  \\\n",
       "1999-01-01               0.7650%                    2.0000%   \n",
       "1999-02-01               0.7357%                    2.0000%   \n",
       "1999-03-01               0.9393%                    2.0000%   \n",
       "1999-04-01               1.0732%                    1.5000%   \n",
       "1999-05-01               0.9355%                    1.5000%   \n",
       "...                          ...                        ...   \n",
       "2024-10-01               1.9994%                    3.2500%   \n",
       "2024-11-01               2.2366%                    3.2500%   \n",
       "2024-12-01               2.4345%                    3.0000%   \n",
       "2025-01-01               2.5162%                    3.0000%   \n",
       "2025-02-01                   NaN                    2.7500%   \n",
       "\n",
       "            ECB Marginal Lending Facility Rate  \\\n",
       "1999-01-01                             4.5000%   \n",
       "1999-02-01                             4.5000%   \n",
       "1999-03-01                             4.5000%   \n",
       "1999-04-01                             3.5000%   \n",
       "1999-05-01                             3.5000%   \n",
       "...                                        ...   \n",
       "2024-10-01                             3.6500%   \n",
       "2024-11-01                             3.6500%   \n",
       "2024-12-01                             3.4000%   \n",
       "2025-01-01                             3.4000%   \n",
       "2025-02-01                             3.1500%   \n",
       "\n",
       "            10y German Government Bond Yield  \\\n",
       "1999-01-01                           3.7000%   \n",
       "1999-02-01                           3.8500%   \n",
       "1999-03-01                           4.0400%   \n",
       "1999-04-01                           3.8500%   \n",
       "1999-05-01                           4.0100%   \n",
       "...                                      ...   \n",
       "2024-10-01                           2.2300%   \n",
       "2024-11-01                           2.3100%   \n",
       "2024-12-01                           2.1800%   \n",
       "2025-01-01                           2.4836%   \n",
       "2025-02-01                           2.3467%   \n",
       "\n",
       "            10y Italian Government Bond Yield  \n",
       "1999-01-01                            3.9200%  \n",
       "1999-02-01                            4.0500%  \n",
       "1999-03-01                            4.2700%  \n",
       "1999-04-01                            4.1100%  \n",
       "1999-05-01                            4.2800%  \n",
       "...                                       ...  \n",
       "2024-10-01                            3.5000%  \n",
       "2024-11-01                            3.5700%  \n",
       "2024-12-01                            3.3200%  \n",
       "2025-01-01                            3.6768%  \n",
       "2025-02-01                            3.5567%  \n",
       "\n",
       "[314 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "cpi_ecbr_irtlt.dropna(subset=[ECB_DEPOSIT_RATE_LABEL, DE_YIELD_LABEL, IT_YIELD_LABEL])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "affecting-national",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = cpi_ecbr_irtlt.iloc[:,:2].plot(figsize=(20,10), grid=True,\n",
    "                        title=GRAPH_TITLE_HICP_2,\n",
    "                        xticks=cpi_ecbr_irtlt.index[::12], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "cpi_ecbr_irtlt.iloc[:,3:].plot(ax=ax, linestyle='--', grid=True,\n",
    "                        xticks=cpi_ecbr_irtlt.index[::12], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, cpi_ecbr_irtlt.index[::12])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "direct-system",
   "metadata": {},
   "source": [
    "#### Eurozone HICP  based on monthly and quarterly changes\n",
    "In the previous part of this notebook I looked at HICP based on changes compared to 12 months ago. This is the standard way of determining annual percentage cahnges. Below I look at monthly changes in HICP and then translate them into annual percentage changes using the following simple formula for translating monthly HICP changes into annual percentage changes:\n",
    "\n",
    "$$\\left(\\left({\\text{level of month n+1} \\over \\text{level of month n}}\\right)^{12}-1\\right)\\times 100\\% $$\n",
    "\n",
    "And then the same for translating quarterly changes into annual rates:\n",
    "\n",
    "$$\\left(\\left({\\text{level of month n+1} \\over \\text{level of month n-2}}\\right)^4-1\\right)\\times 100\\% $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "hazardous-tablet",
   "metadata": {},
   "outputs": [],
   "source": [
    "from_date = date(2020, 1, 1)\n",
    "eu_hicp_monthly = eu_hicp.pct_change().loc[from_date:, 'EA']\n",
    "eu_hicp_monthly.rename('Eurozone HICP Change over Prev Month', inplace=True)\n",
    "eu_hicp_annual = ((eu_hicp/eu_hicp.shift(1)).pow(12)-1).loc[from_date:, 'EA'].rename('Eurozone HICP Change over Prev Month at Annual Rate')\n",
    "eu_hicp_quarterly = ((eu_hicp/eu_hicp.shift(3)).pow(4)-1).loc[from_date:, 'EA'].rename('Eurozone HICP Change over Prev 3 Months at Annual Rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "refined-interface",
   "metadata": {},
   "outputs": [],
   "source": [
    "eu_hicp_df = pd.concat([cpi_ecbr_irtlt.loc[from_date:, cpi_ecbr_irtlt.columns[0]], eu_hicp_quarterly, eu_hicp_annual], axis=1).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "nutritional-slide",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>Eurozone HICP Change over Prev 3 Months at Annual Rate</th>\n",
       "      <th>Eurozone HICP Change over Prev Month at Annual Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-02-01</th>\n",
       "      <td>2.5817%</td>\n",
       "      <td>1.6901%</td>\n",
       "      <td>7.7373%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-01</th>\n",
       "      <td>2.4277%</td>\n",
       "      <td>4.1252%</td>\n",
       "      <td>9.4564%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-01</th>\n",
       "      <td>2.3717%</td>\n",
       "      <td>8.1334%</td>\n",
       "      <td>7.2191%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-05-01</th>\n",
       "      <td>2.5660%</td>\n",
       "      <td>6.3870%</td>\n",
       "      <td>2.6011%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-01</th>\n",
       "      <td>2.5188%</td>\n",
       "      <td>4.1160%</td>\n",
       "      <td>2.5955%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>2.5778%</td>\n",
       "      <td>1.5963%</td>\n",
       "      <td>-0.3785%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-08-01</th>\n",
       "      <td>2.1688%</td>\n",
       "      <td>1.3047%</td>\n",
       "      <td>1.7204%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-01</th>\n",
       "      <td>1.7440%</td>\n",
       "      <td>0.0632%</td>\n",
       "      <td>-1.1305%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-01</th>\n",
       "      <td>1.9994%</td>\n",
       "      <td>1.5579%</td>\n",
       "      <td>4.1528%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-11-01</th>\n",
       "      <td>2.2366%</td>\n",
       "      <td>-0.3153%</td>\n",
       "      <td>-3.8051%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-12-01</th>\n",
       "      <td>2.4345%</td>\n",
       "      <td>1.4933%</td>\n",
       "      <td>4.3491%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-01</th>\n",
       "      <td>2.5162%</td>\n",
       "      <td>-1.0038%</td>\n",
       "      <td>-3.3472%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Annual Eurozone HICP  \\\n",
       "2024-02-01               2.5817%   \n",
       "2024-03-01               2.4277%   \n",
       "2024-04-01               2.3717%   \n",
       "2024-05-01               2.5660%   \n",
       "2024-06-01               2.5188%   \n",
       "2024-07-01               2.5778%   \n",
       "2024-08-01               2.1688%   \n",
       "2024-09-01               1.7440%   \n",
       "2024-10-01               1.9994%   \n",
       "2024-11-01               2.2366%   \n",
       "2024-12-01               2.4345%   \n",
       "2025-01-01               2.5162%   \n",
       "\n",
       "            Eurozone HICP Change over Prev 3 Months at Annual Rate  \\\n",
       "2024-02-01                                            1.6901%        \n",
       "2024-03-01                                            4.1252%        \n",
       "2024-04-01                                            8.1334%        \n",
       "2024-05-01                                            6.3870%        \n",
       "2024-06-01                                            4.1160%        \n",
       "2024-07-01                                            1.5963%        \n",
       "2024-08-01                                            1.3047%        \n",
       "2024-09-01                                            0.0632%        \n",
       "2024-10-01                                            1.5579%        \n",
       "2024-11-01                                           -0.3153%        \n",
       "2024-12-01                                            1.4933%        \n",
       "2025-01-01                                           -1.0038%        \n",
       "\n",
       "            Eurozone HICP Change over Prev Month at Annual Rate  \n",
       "2024-02-01                                            7.7373%    \n",
       "2024-03-01                                            9.4564%    \n",
       "2024-04-01                                            7.2191%    \n",
       "2024-05-01                                            2.6011%    \n",
       "2024-06-01                                            2.5955%    \n",
       "2024-07-01                                           -0.3785%    \n",
       "2024-08-01                                            1.7204%    \n",
       "2024-09-01                                           -1.1305%    \n",
       "2024-10-01                                            4.1528%    \n",
       "2024-11-01                                           -3.8051%    \n",
       "2024-12-01                                            4.3491%    \n",
       "2025-01-01                                           -3.3472%    "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eu_hicp_df.tail(12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "impressed-greene",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "cm = sns.color_palette('Blues', as_cmap=True)\n",
    "IDX_FORMAT = '{:%Y-%m}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "requested-resort",
   "metadata": {},
   "outputs": [
    {
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       "  width: 200px;\n",
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       "  width: 200px;\n",
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       "  width: 200px;\n",
       "  background-color: #dbe9f6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b9469_row16_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #92c4de;\n",
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       "</style>\n",
       "<table id=\"T_b9469\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_b9469_level0_col0\" class=\"col_heading level0 col0\" >Annual Eurozone HICP</th>\n",
       "      <th id=\"T_b9469_level0_col1\" class=\"col_heading level0 col1\" >Eurozone HICP Change over Prev 3 Months at Annual Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row0\" class=\"row_heading level0 row0\" >2023-08</th>\n",
       "      <td id=\"T_b9469_row0_col0\" class=\"data row0 col0\" >5.24%</td>\n",
       "      <td id=\"T_b9469_row0_col1\" class=\"data row0 col1\" >2.89%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row1\" class=\"row_heading level0 row1\" >2023-09</th>\n",
       "      <td id=\"T_b9469_row1_col0\" class=\"data row1 col0\" >4.34%</td>\n",
       "      <td id=\"T_b9469_row1_col1\" class=\"data row1 col1\" >3.15%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row2\" class=\"row_heading level0 row2\" >2023-10</th>\n",
       "      <td id=\"T_b9469_row2_col0\" class=\"data row2 col0\" >2.90%</td>\n",
       "      <td id=\"T_b9469_row2_col1\" class=\"data row2 col1\" >3.88%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row3\" class=\"row_heading level0 row3\" >2023-11</th>\n",
       "      <td id=\"T_b9469_row3_col0\" class=\"data row3 col0\" >2.40%</td>\n",
       "      <td id=\"T_b9469_row3_col1\" class=\"data row3 col1\" >-0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row4\" class=\"row_heading level0 row4\" >2023-12</th>\n",
       "      <td id=\"T_b9469_row4_col0\" class=\"data row4 col0\" >2.93%</td>\n",
       "      <td id=\"T_b9469_row4_col1\" class=\"data row4 col1\" >-1.22%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row5\" class=\"row_heading level0 row5\" >2024-01</th>\n",
       "      <td id=\"T_b9469_row5_col0\" class=\"data row5 col0\" >2.77%</td>\n",
       "      <td id=\"T_b9469_row5_col1\" class=\"data row5 col1\" >-2.99%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row6\" class=\"row_heading level0 row6\" >2024-02</th>\n",
       "      <td id=\"T_b9469_row6_col0\" class=\"data row6 col0\" >2.58%</td>\n",
       "      <td id=\"T_b9469_row6_col1\" class=\"data row6 col1\" >1.69%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row7\" class=\"row_heading level0 row7\" >2024-03</th>\n",
       "      <td id=\"T_b9469_row7_col0\" class=\"data row7 col0\" >2.43%</td>\n",
       "      <td id=\"T_b9469_row7_col1\" class=\"data row7 col1\" >4.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row8\" class=\"row_heading level0 row8\" >2024-04</th>\n",
       "      <td id=\"T_b9469_row8_col0\" class=\"data row8 col0\" >2.37%</td>\n",
       "      <td id=\"T_b9469_row8_col1\" class=\"data row8 col1\" >8.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row9\" class=\"row_heading level0 row9\" >2024-05</th>\n",
       "      <td id=\"T_b9469_row9_col0\" class=\"data row9 col0\" >2.57%</td>\n",
       "      <td id=\"T_b9469_row9_col1\" class=\"data row9 col1\" >6.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row10\" class=\"row_heading level0 row10\" >2024-06</th>\n",
       "      <td id=\"T_b9469_row10_col0\" class=\"data row10 col0\" >2.52%</td>\n",
       "      <td id=\"T_b9469_row10_col1\" class=\"data row10 col1\" >4.12%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row11\" class=\"row_heading level0 row11\" >2024-07</th>\n",
       "      <td id=\"T_b9469_row11_col0\" class=\"data row11 col0\" >2.58%</td>\n",
       "      <td id=\"T_b9469_row11_col1\" class=\"data row11 col1\" >1.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row12\" class=\"row_heading level0 row12\" >2024-08</th>\n",
       "      <td id=\"T_b9469_row12_col0\" class=\"data row12 col0\" >2.17%</td>\n",
       "      <td id=\"T_b9469_row12_col1\" class=\"data row12 col1\" >1.30%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row13\" class=\"row_heading level0 row13\" >2024-09</th>\n",
       "      <td id=\"T_b9469_row13_col0\" class=\"data row13 col0\" >1.74%</td>\n",
       "      <td id=\"T_b9469_row13_col1\" class=\"data row13 col1\" >0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row14\" class=\"row_heading level0 row14\" >2024-10</th>\n",
       "      <td id=\"T_b9469_row14_col0\" class=\"data row14 col0\" >2.00%</td>\n",
       "      <td id=\"T_b9469_row14_col1\" class=\"data row14 col1\" >1.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row15\" class=\"row_heading level0 row15\" >2024-11</th>\n",
       "      <td id=\"T_b9469_row15_col0\" class=\"data row15 col0\" >2.24%</td>\n",
       "      <td id=\"T_b9469_row15_col1\" class=\"data row15 col1\" >-0.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row16\" class=\"row_heading level0 row16\" >2024-12</th>\n",
       "      <td id=\"T_b9469_row16_col0\" class=\"data row16 col0\" >2.43%</td>\n",
       "      <td id=\"T_b9469_row16_col1\" class=\"data row16 col1\" >1.49%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b9469_level0_row17\" class=\"row_heading level0 row17\" >2025-01</th>\n",
       "      <td id=\"T_b9469_row17_col0\" class=\"data row17 col0\" >2.52%</td>\n",
       "      <td id=\"T_b9469_row17_col1\" class=\"data row17 col1\" >-1.00%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x12fe0aa20>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eu_hicp_df = eu_hicp_df.loc[from_date:, eu_hicp_df.columns[0:2]]\n",
    "eu_hicp_df.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=eu_hicp_df.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "played-barcelona",
   "metadata": {},
   "source": [
    "#### Eurozone Real GDP growth\n",
    "I present both growth over the last 4 quarters as well as growth over one quarter, both expressed as annual percentage rates. For growth over one quarter (the 2<sup>nd</sup> column) I use seasonally and calendar adjusted data (Eurostat code `SCA`). For growth over the last 4 quarters (which provides the official annual growth) I use unadjusted data (Eurostat code `NSA`). Unfortunately Eurostat tends to delay publishing unadujusted data, as a result you might occasionally see a NaN value in the last row for it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "consistent-saying",
   "metadata": {},
   "outputs": [
    {
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       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row1_col1, #T_bee0d_row14_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #f2f7fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row2_col0, #T_bee0d_row2_col1, #T_bee0d_row6_col1, #T_bee0d_row8_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #eef5fc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row3_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #5aa2cf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row3_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #d5e5f4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row4_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #2777b8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row4_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #dce9f6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row5_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #084a91;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row5_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #ebf3fb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row7_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #1561a9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row7_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #e9f2fa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row8_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #1d6cb1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row9_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #3080bd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row10_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #4090c5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row10_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #eff6fc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row11_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #539ecd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row11_col1, #T_bee0d_row13_col1, #T_bee0d_row17_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #f5fafe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row12_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #63a8d3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row12_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #f6faff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row13_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #69add5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row14_col0, #T_bee0d_row15_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #77b5d9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row15_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #f4f9fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row16_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #71b1d7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bee0d_row16_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #f0f6fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bee0d_row17_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #000000;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_bee0d\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_bee0d_level0_col0\" class=\"col_heading level0 col0\" >Real GDP</th>\n",
       "      <th id=\"T_bee0d_level0_col1\" class=\"col_heading level0 col1\" >Real GDP over quarter at annual rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row0\" class=\"row_heading level0 row0\" >2020-07</th>\n",
       "      <td id=\"T_bee0d_row0_col0\" class=\"data row0 col0\" >-4.91%</td>\n",
       "      <td id=\"T_bee0d_row0_col1\" class=\"data row0 col1\" >55.56%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row1\" class=\"row_heading level0 row1\" >2020-10</th>\n",
       "      <td id=\"T_bee0d_row1_col0\" class=\"data row1 col0\" >-6.01%</td>\n",
       "      <td id=\"T_bee0d_row1_col1\" class=\"data row1 col1\" >1.33%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row2\" class=\"row_heading level0 row2\" >2021-01</th>\n",
       "      <td id=\"T_bee0d_row2_col0\" class=\"data row2 col0\" >-5.34%</td>\n",
       "      <td id=\"T_bee0d_row2_col1\" class=\"data row2 col1\" >2.33%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row3\" class=\"row_heading level0 row3\" >2021-04</th>\n",
       "      <td id=\"T_bee0d_row3_col0\" class=\"data row3 col0\" >1.58%</td>\n",
       "      <td id=\"T_bee0d_row3_col1\" class=\"data row3 col1\" >9.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row4\" class=\"row_heading level0 row4\" >2021-07</th>\n",
       "      <td id=\"T_bee0d_row4_col0\" class=\"data row4 col0\" >3.94%</td>\n",
       "      <td id=\"T_bee0d_row4_col1\" class=\"data row4 col1\" >7.50%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row5\" class=\"row_heading level0 row5\" >2021-10</th>\n",
       "      <td id=\"T_bee0d_row5_col0\" class=\"data row5 col0\" >6.30%</td>\n",
       "      <td id=\"T_bee0d_row5_col1\" class=\"data row5 col1\" >3.14%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row6\" class=\"row_heading level0 row6\" >2022-01</th>\n",
       "      <td id=\"T_bee0d_row6_col0\" class=\"data row6 col0\" >7.69%</td>\n",
       "      <td id=\"T_bee0d_row6_col1\" class=\"data row6 col1\" >2.07%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row7\" class=\"row_heading level0 row7\" >2022-04</th>\n",
       "      <td id=\"T_bee0d_row7_col0\" class=\"data row7 col0\" >5.08%</td>\n",
       "      <td id=\"T_bee0d_row7_col1\" class=\"data row7 col1\" >3.71%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row8\" class=\"row_heading level0 row8\" >2022-07</th>\n",
       "      <td id=\"T_bee0d_row8_col0\" class=\"data row8 col0\" >4.49%</td>\n",
       "      <td id=\"T_bee0d_row8_col1\" class=\"data row8 col1\" >2.41%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row9\" class=\"row_heading level0 row9\" >2022-10</th>\n",
       "      <td id=\"T_bee0d_row9_col0\" class=\"data row9 col0\" >3.49%</td>\n",
       "      <td id=\"T_bee0d_row9_col1\" class=\"data row9 col1\" >-0.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row10\" class=\"row_heading level0 row10\" >2023-01</th>\n",
       "      <td id=\"T_bee0d_row10_col0\" class=\"data row10 col0\" >2.65%</td>\n",
       "      <td id=\"T_bee0d_row10_col1\" class=\"data row10 col1\" >1.96%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row11\" class=\"row_heading level0 row11\" >2023-04</th>\n",
       "      <td id=\"T_bee0d_row11_col0\" class=\"data row11 col0\" >1.80%</td>\n",
       "      <td id=\"T_bee0d_row11_col1\" class=\"data row11 col1\" >0.31%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row12\" class=\"row_heading level0 row12\" >2023-07</th>\n",
       "      <td id=\"T_bee0d_row12_col0\" class=\"data row12 col0\" >1.18%</td>\n",
       "      <td id=\"T_bee0d_row12_col1\" class=\"data row12 col1\" >0.02%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row13\" class=\"row_heading level0 row13\" >2023-10</th>\n",
       "      <td id=\"T_bee0d_row13_col0\" class=\"data row13 col0\" >0.90%</td>\n",
       "      <td id=\"T_bee0d_row13_col1\" class=\"data row13 col1\" >0.19%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row14\" class=\"row_heading level0 row14\" >2024-01</th>\n",
       "      <td id=\"T_bee0d_row14_col0\" class=\"data row14 col0\" >0.43%</td>\n",
       "      <td id=\"T_bee0d_row14_col1\" class=\"data row14 col1\" >1.25%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row15\" class=\"row_heading level0 row15\" >2024-04</th>\n",
       "      <td id=\"T_bee0d_row15_col0\" class=\"data row15 col0\" >0.41%</td>\n",
       "      <td id=\"T_bee0d_row15_col1\" class=\"data row15 col1\" >0.70%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row16\" class=\"row_heading level0 row16\" >2024-07</th>\n",
       "      <td id=\"T_bee0d_row16_col0\" class=\"data row16 col0\" >0.65%</td>\n",
       "      <td id=\"T_bee0d_row16_col1\" class=\"data row16 col1\" >1.64%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_bee0d_level0_row17\" class=\"row_heading level0 row17\" >2024-10</th>\n",
       "      <td id=\"T_bee0d_row17_col0\" class=\"data row17 col0\" >nan%</td>\n",
       "      <td id=\"T_bee0d_row17_col1\" class=\"data row17 col1\" >0.12%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x131163530>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# real_gdp.loc['2020':]\n",
    "real_gdp.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=real_gdp.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "psychological-trout",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = real_gdp.iloc[:,0].plot(figsize=(20,10), grid=True, title='Eurozone Real GDP growth (annual rate)',\n",
    "                   xticks=real_gdp.index[::4], xlabel='', rot=45)#, yticks=np.arange(-.15, .2, 0.025))\n",
    "ax.axhline(y=0, lw=2, c='k')\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2 = ax.twiny()\n",
    "real_gdp.iloc[:,0].plot.bar(ax=ax2, xlabel='', legend=False)\n",
    "ax.axhline(y=real_gdp.iloc[:,0].mean(), ls='--', c='#1f77b4', label='Mean level of Real GDP growth')\n",
    "ax.legend()\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, real_gdp.index[::4])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "formal-compound",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean level of annual rate of real GDP growth in the Euro area since 1997-01-01: 1.65%\n"
     ]
    }
   ],
   "source": [
    "print(f'Mean level of annual rate of real GDP growth in the Euro area since {real_gdp.index[0]:%Y-%m-%d}: '\n",
    "      f'{real_gdp.iloc[:,0].mean():.2%}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "graduate-torture",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Real GDP</th>\n",
       "      <th>Annual Eurozone HICP</th>\n",
       "      <th>10y German Government Bond Yield</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>0.5146%</td>\n",
       "      <td>1.1090%</td>\n",
       "      <td>-0.4400%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>-3.3812%</td>\n",
       "      <td>0.2217%</td>\n",
       "      <td>-0.4667%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-01</th>\n",
       "      <td>-4.9107%</td>\n",
       "      <td>-0.0313%</td>\n",
       "      <td>-0.5200%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-01</th>\n",
       "      <td>-6.0051%</td>\n",
       "      <td>-0.2754%</td>\n",
       "      <td>-0.6133%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>-5.3388%</td>\n",
       "      <td>1.0597%</td>\n",
       "      <td>-0.4633%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-01</th>\n",
       "      <td>1.5779%</td>\n",
       "      <td>1.8360%</td>\n",
       "      <td>-0.2800%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-07-01</th>\n",
       "      <td>3.9386%</td>\n",
       "      <td>2.8279%</td>\n",
       "      <td>-0.4500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01</th>\n",
       "      <td>6.3019%</td>\n",
       "      <td>4.6274%</td>\n",
       "      <td>-0.3000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-01-01</th>\n",
       "      <td>7.6869%</td>\n",
       "      <td>6.1422%</td>\n",
       "      <td>0.1033%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-04-01</th>\n",
       "      <td>5.0793%</td>\n",
       "      <td>8.0453%</td>\n",
       "      <td>1.0500%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-07-01</th>\n",
       "      <td>4.4920%</td>\n",
       "      <td>9.3113%</td>\n",
       "      <td>1.3033%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-10-01</th>\n",
       "      <td>3.4922%</td>\n",
       "      <td>9.9572%</td>\n",
       "      <td>2.1167%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-01</th>\n",
       "      <td>2.6538%</td>\n",
       "      <td>8.0105%</td>\n",
       "      <td>2.3133%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01</th>\n",
       "      <td>1.8044%</td>\n",
       "      <td>6.1931%</td>\n",
       "      <td>2.3600%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-01</th>\n",
       "      <td>1.1845%</td>\n",
       "      <td>4.9630%</td>\n",
       "      <td>2.5567%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-01</th>\n",
       "      <td>0.9005%</td>\n",
       "      <td>2.7423%</td>\n",
       "      <td>2.5067%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>0.4258%</td>\n",
       "      <td>2.5927%</td>\n",
       "      <td>2.2867%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-04-01</th>\n",
       "      <td>0.4136%</td>\n",
       "      <td>2.4855%</td>\n",
       "      <td>2.4833%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-01</th>\n",
       "      <td>0.6474%</td>\n",
       "      <td>2.1635%</td>\n",
       "      <td>2.2800%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.2235%</td>\n",
       "      <td>2.2400%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Real GDP  Annual Eurozone HICP  10y German Government Bond Yield\n",
       "2020-01-01   0.5146%               1.1090%                          -0.4400%\n",
       "2020-04-01  -3.3812%               0.2217%                          -0.4667%\n",
       "2020-07-01  -4.9107%              -0.0313%                          -0.5200%\n",
       "2020-10-01  -6.0051%              -0.2754%                          -0.6133%\n",
       "2021-01-01  -5.3388%               1.0597%                          -0.4633%\n",
       "2021-04-01   1.5779%               1.8360%                          -0.2800%\n",
       "2021-07-01   3.9386%               2.8279%                          -0.4500%\n",
       "2021-10-01   6.3019%               4.6274%                          -0.3000%\n",
       "2022-01-01   7.6869%               6.1422%                           0.1033%\n",
       "2022-04-01   5.0793%               8.0453%                           1.0500%\n",
       "2022-07-01   4.4920%               9.3113%                           1.3033%\n",
       "2022-10-01   3.4922%               9.9572%                           2.1167%\n",
       "2023-01-01   2.6538%               8.0105%                           2.3133%\n",
       "2023-04-01   1.8044%               6.1931%                           2.3600%\n",
       "2023-07-01   1.1845%               4.9630%                           2.5567%\n",
       "2023-10-01   0.9005%               2.7423%                           2.5067%\n",
       "2024-01-01   0.4258%               2.5927%                           2.2867%\n",
       "2024-04-01   0.4136%               2.4855%                           2.4833%\n",
       "2024-07-01   0.6474%               2.1635%                           2.2800%\n",
       "2024-10-01       NaN               2.2235%                           2.2400%"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Including only the yield on German government bonds as those of Italy are not AAA rated and cannot be regarded\n",
    "# as riskfree\n",
    "df = pd.concat([real_gdp.iloc[:,0], cpi_ecbr_irtlt.iloc[:,[0,3]].resample('QS').mean()], axis=1)\\\n",
    "    .loc[:real_gdp.last_valid_index()] # Truncate based on last valid GDP value\n",
    "df.loc['2020':]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "suspected-requirement",
   "metadata": {},
   "source": [
    "### Visualizing the relationship between 10y German Bund Yield and the Intrinsic Riskfree rate (real GDP growth + inflation rates)\n",
    "I use Germany 10-year government bond yield as a representative of a Eurozone central government bond with an AAA credit rating in the below graph. It is a proxy for the actual long-term riskfree rate in the Eurozone. I compare it with the intrinsic riskfree rate as defined by the sum of real GDP growth and inflation rates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "median-particle",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.iloc[:, -1].plot(figsize=(20,10), grid=True,\n",
    "                         title='Annual HICP and Real GDP vs ' + DE_YIELD_LABEL,\n",
    "                         xticks=df.index[::2], xlabel='', rot=45,\n",
    "                         yticks=np.arange(-.15, .2, 0.025), linestyle='--', color='k')\n",
    "ax2 = ax.twiny()\n",
    "df.iloc[:,[0,1]].plot.bar(ax=ax2, xlabel='', stacked=True)\n",
    "ax.legend(loc='upper center')\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, df.index[::2])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "polyphonic-import",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates: nan%\n",
      "Compared with: 0.53% one quarter earlier\n"
     ]
    }
   ],
   "source": [
    "print('Gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates: {:.2%}\\n'\n",
    "      'Compared with: {:.2%} one quarter earlier'.format(\n",
    "    df.iloc[-1,0] + df.iloc[-1,1] - df.iloc[-1,2], df.iloc[-2,0] + df.iloc[-2,1] - df.iloc[-2,2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cheap-washington",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since 1997-01: 1.13%\n"
     ]
    }
   ],
   "source": [
    "print('Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since {:%Y-%m}: {:.2%}'\n",
    "      .format(df.index[0], df.iloc[:,0].mean() + df.iloc[:,1].mean() - df.iloc[:,2].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "located-envelope",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since 2009-01: 1.87%\n"
     ]
    }
   ],
   "source": [
    "from_dt = date(2009, 1, 1)\n",
    "means = df.loc[from_dt:].mean()\n",
    "print('Average gap between intrinsic (GDP+HICP) and actual (10-y German Bund) riskfree rates since {:%Y-%m}: {:.2%}'\n",
    "      .format(from_dt, means.iloc[0] + means.iloc[1] - means.iloc[2]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "rotary-complement",
   "metadata": {},
   "source": [
    "## A quick look at wage inflation in the Eurozone\n",
    "In contrast to U.S. Bureau of Labor Statistics, unfortunately Eurostat typically lags by one quarter in publishing data on wage inflation and publishes them only with quarterly frequencies.\n",
    "\n",
    "I use the following dataseries provided by [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `lc_lci_r2_q` &mdash; Labour cost index by NACE Rev. 2 activity - nominal value, quarterly data. This series returns a MultiIndexed dataset containing different views on this data for the Eurozone as a whole as whell as for each individual country in the EU."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "objective-humidity",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seasonally and calendar-adjusted, 2020=100\n",
    "# NACE Rev 2. Sections B to S from 2009Q1 onward\n",
    "# Labour cost for LCI (compensation of employees plus taxes minus subsidies): D1_D4_MD5\n",
    "eu_wagei = eurostat.get_data_df('lc_lci_r2_q',\n",
    "        filter_pars={'startPeriod': report_start, 's_adj': 'SCA', 'unit': 'I20',\n",
    "                     'nace_r2': 'B-S', 'lcstruct': 'D1_D4_MD5', 'geo': 'EA'}).iloc[:, 5:]\n",
    "eu_wagei = eu_wagei.set_index(eu_wagei.columns[0]).T\n",
    "eu_wagei = eu_wagei.set_axis(pd.DatetimeIndex(eu_wagei.index, 'QS'))\n",
    "eu_wagei.dropna(inplace=True)\n",
    "eu_wagei_quarterly = (eu_wagei/eu_wagei.shift()).pow(4) - 1\n",
    "eu_wagei_quarterly.rename(columns={'EA': 'Hourly Earnings Change Over Last Quarter at Annual Rate'}, inplace=True)\n",
    "eu_wagei = eu_wagei.pct_change(4, fill_method=None).dropna()\n",
    "eu_wagei.rename(columns={'EA': 'Hourly Earnings Annual Percentage Change'}, inplace=True)\n",
    "\n",
    "cpi_and_wagei = pd.concat([cpi_ecbr_irtlt.iloc[:,0].resample('QS').last().loc[eu_wagei.index[0]:], eu_wagei], axis=1)\\\n",
    "     .loc[:date.today()-relativedelta(months=+3)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "becoming-burner",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mean level of Wage Inflation, and HICP\n",
    "mean_level_wagei = eu_wagei.iloc[:,0].mean()\n",
    "mean_level_cpi = cpi_ecbr_irtlt.iloc[:,0].mean()\n",
    "\n",
    "LABEL_MEAN_WAGEI = 'Mean Level of Annual Changes in Labour Costs'\n",
    "LABEL_MEAN_CPI = 'Mean Level of Annual Changes in HICP'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "divine-marble",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = cpi_and_wagei.plot(figsize=(20,10), grid=True,\n",
    "                        title='Eurozone Annual HICP and Hourly Earnings',\n",
    "                        xticks=cpi_and_wagei.index[::2], xlabel='', rot=45, yticks=np.arange(0, .13, .02))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "#ax.axhline(y=mean_level_cpi, lw=2, ls='--', c='#1f77b4', label=LABEL_MEAN_CPI)\n",
    "ax.axhline(y=mean_level_wagei, lw=2, ls='--', c='#ff7f0e', label=LABEL_MEAN_WAGEI)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, cpi_and_wagei.index[::2])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "convinced-antenna",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Labour costs annual growth +2.47% above the historic mean of 2.39% in quarter starting on 2024-07-01\n"
     ]
    }
   ],
   "source": [
    "print('Labour costs annual growth {:+.2%} above the historic mean of {:.2%} in quarter starting on {:%Y-%m-%d}'\n",
    "      .format(eu_wagei.iloc[-1,0]-mean_level_wagei, mean_level_wagei, eu_wagei.index[-1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "wound-motorcycle",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "#T_5d6d0_row3_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #cddff1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5d6d0_row4_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #a4cce3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5d6d0_row4_col1 {\n",
       "  width: 200px;\n",
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       "  width: 200px;\n",
       "  background-color: #66abd4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row5_col1 {\n",
       "  width: 200px;\n",
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       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row6_col1, #T_5d6d0_row10_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #2e7ebc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row7_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #08519c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row7_col1, #T_5d6d0_row8_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #08306b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row8_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #3686c0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row9_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #084387;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row9_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #08326e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row10_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #083e81;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row11_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #549fcd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row11_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #084f99;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row12_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #7db8da;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5d6d0_row12_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #083573;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row13_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #b0d2e7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5d6d0_row13_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #1967ad;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row14_col0, #T_5d6d0_row17_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #c1d9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5d6d0_row14_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #084a91;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row15_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #bed8ec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5d6d0_row15_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #083a7a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row16_col0 {\n",
       "  width: 200px;\n",
       "  background-color: #d0e1f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5d6d0_row16_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #08468b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5d6d0_row17_col1 {\n",
       "  width: 200px;\n",
       "  background-color: #000000;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_5d6d0\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_5d6d0_level0_col0\" class=\"col_heading level0 col0\" >Annual Eurozone HICP</th>\n",
       "      <th id=\"T_5d6d0_level0_col1\" class=\"col_heading level0 col1\" >Hourly Earnings Annual Percentage Change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row0\" class=\"row_heading level0 row0\" >2020-07</th>\n",
       "      <td id=\"T_5d6d0_row0_col0\" class=\"data row0 col0\" >-0.31%</td>\n",
       "      <td id=\"T_5d6d0_row0_col1\" class=\"data row0 col1\" >2.88%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row1\" class=\"row_heading level0 row1\" >2020-10</th>\n",
       "      <td id=\"T_5d6d0_row1_col0\" class=\"data row1 col0\" >-0.27%</td>\n",
       "      <td id=\"T_5d6d0_row1_col1\" class=\"data row1 col1\" >2.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row2\" class=\"row_heading level0 row2\" >2021-01</th>\n",
       "      <td id=\"T_5d6d0_row2_col0\" class=\"data row2 col0\" >1.33%</td>\n",
       "      <td id=\"T_5d6d0_row2_col1\" class=\"data row2 col1\" >0.20%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row3\" class=\"row_heading level0 row3\" >2021-04</th>\n",
       "      <td id=\"T_5d6d0_row3_col0\" class=\"data row3 col0\" >1.90%</td>\n",
       "      <td id=\"T_5d6d0_row3_col1\" class=\"data row3 col1\" >-0.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row4\" class=\"row_heading level0 row4\" >2021-07</th>\n",
       "      <td id=\"T_5d6d0_row4_col0\" class=\"data row4 col0\" >3.36%</td>\n",
       "      <td id=\"T_5d6d0_row4_col1\" class=\"data row4 col1\" >2.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row5\" class=\"row_heading level0 row5\" >2021-10</th>\n",
       "      <td id=\"T_5d6d0_row5_col0\" class=\"data row5 col0\" >4.96%</td>\n",
       "      <td id=\"T_5d6d0_row5_col1\" class=\"data row5 col1\" >2.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row6\" class=\"row_heading level0 row6\" >2022-01</th>\n",
       "      <td id=\"T_5d6d0_row6_col0\" class=\"data row6 col0\" >7.44%</td>\n",
       "      <td id=\"T_5d6d0_row6_col1\" class=\"data row6 col1\" >3.70%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row7\" class=\"row_heading level0 row7\" >2022-04</th>\n",
       "      <td id=\"T_5d6d0_row7_col0\" class=\"data row7 col0\" >8.64%</td>\n",
       "      <td id=\"T_5d6d0_row7_col1\" class=\"data row7 col1\" >5.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row8\" class=\"row_heading level0 row8\" >2022-07</th>\n",
       "      <td id=\"T_5d6d0_row8_col0\" class=\"data row8 col0\" >9.93%</td>\n",
       "      <td id=\"T_5d6d0_row8_col1\" class=\"data row8 col1\" >3.52%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row9\" class=\"row_heading level0 row9\" >2022-10</th>\n",
       "      <td id=\"T_5d6d0_row9_col0\" class=\"data row9 col0\" >9.20%</td>\n",
       "      <td id=\"T_5d6d0_row9_col1\" class=\"data row9 col1\" >5.25%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row10\" class=\"row_heading level0 row10\" >2023-01</th>\n",
       "      <td id=\"T_5d6d0_row10_col0\" class=\"data row10 col0\" >6.88%</td>\n",
       "      <td id=\"T_5d6d0_row10_col1\" class=\"data row10 col1\" >5.01%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row11\" class=\"row_heading level0 row11\" >2023-04</th>\n",
       "      <td id=\"T_5d6d0_row11_col0\" class=\"data row11 col0\" >5.52%</td>\n",
       "      <td id=\"T_5d6d0_row11_col1\" class=\"data row11 col1\" >4.67%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row12\" class=\"row_heading level0 row12\" >2023-07</th>\n",
       "      <td id=\"T_5d6d0_row12_col0\" class=\"data row12 col0\" >4.34%</td>\n",
       "      <td id=\"T_5d6d0_row12_col1\" class=\"data row12 col1\" >5.20%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row13\" class=\"row_heading level0 row13\" >2023-10</th>\n",
       "      <td id=\"T_5d6d0_row13_col0\" class=\"data row13 col0\" >2.93%</td>\n",
       "      <td id=\"T_5d6d0_row13_col1\" class=\"data row13 col1\" >4.16%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row14\" class=\"row_heading level0 row14\" >2024-01</th>\n",
       "      <td id=\"T_5d6d0_row14_col0\" class=\"data row14 col0\" >2.43%</td>\n",
       "      <td id=\"T_5d6d0_row14_col1\" class=\"data row14 col1\" >4.77%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row15\" class=\"row_heading level0 row15\" >2024-04</th>\n",
       "      <td id=\"T_5d6d0_row15_col0\" class=\"data row15 col0\" >2.52%</td>\n",
       "      <td id=\"T_5d6d0_row15_col1\" class=\"data row15 col1\" >5.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row16\" class=\"row_heading level0 row16\" >2024-07</th>\n",
       "      <td id=\"T_5d6d0_row16_col0\" class=\"data row16 col0\" >1.74%</td>\n",
       "      <td id=\"T_5d6d0_row16_col1\" class=\"data row16 col1\" >4.85%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5d6d0_level0_row17\" class=\"row_heading level0 row17\" >2024-10</th>\n",
       "      <td id=\"T_5d6d0_row17_col0\" class=\"data row17 col0\" >2.43%</td>\n",
       "      <td id=\"T_5d6d0_row17_col1\" class=\"data row17 col1\" >nan%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1319085f0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpi_and_wagei = cpi_and_wagei.loc[from_date:, cpi_and_wagei.columns[0:2]]\n",
    "cpi_and_wagei.tail(18).style.format_index(IDX_FORMAT).format('{:.2%}')\\\n",
    "    .set_properties(subset=cpi_and_wagei.columns, **{'width': '200px'})\\\n",
    "    .set_table_styles([{'selector': 'th', 'props': 'text-align: right; width: 100px'}])\\\n",
    "    .background_gradient(cmap=cm, subset=cpi_and_wagei.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "confidential-routine",
   "metadata": {},
   "source": [
    "## Analyzing Euro Riskless Rate Curve\n",
    "In this analysis I make use of the spot rates (aka zero-rates) implied by AAA-rated governmental bonds in the Euro area.\n",
    "\n",
    "I use the following dataseries provided by the [Eurostat](https://ec.europa.eu/eurostat/web/main/data/database):\n",
    "* `irt_euryld_m` &mdash; Euro yield curves (monthly frequency). This series returns a MultiIndexed dataset from which multiple yields can be extraced: Instantaneous forward yield curve, Par yield curve, and Spot rate yield curve. In my analysis I use the Spor rate yield curve. The returned rates are presented using Annual percentage rates/yields and represent the average over all business days in a given month. [The ECB uses continuous compounding](https://www.ecb.europa.eu/stats/financial_markets_and_interest_rates/euro_area_yield_curves/shared/pdf/technical_notes.pdf) when calculating them.\n",
    "* `irt_st_m` &mdash; Euro EURIBOR rates (monthly frequency). EURIBOR uses the actual/360 daycount convention. This series returns a MultiIndexed dataset allowing to select different maturities. I only use the 1 month rates in this notebook as the spread between government bond rates and EURIBOR tends to increase with longer maturities. Rates returned represent the average over all business days in a given month.\n",
    "\n",
    "And one dataset from [FRED](https://fred.stlouisfed.org):\n",
    "* `ECBDFR` &mdash; ECB Deposit Facility Rate for Euro Area (daily frequency). I use it as proxy for overnight rate after downsampling to monthly frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "introductory-norfolk",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The ECB provides yields for maturities ranging from 3 months till 30 years\n",
    "year_maturities = range(1, 31)\n",
    "maturities = ['Y'+str(maturity) for maturity in year_maturities]\n",
    "\n",
    "# Taking the last 3 months and converting to decimal fractions\n",
    "euro_curves = eurostat.get_data_df('irt_euryld_m', filter_pars={\n",
    "    'startPeriod': (report_end-MonthBegin(4)).date(), 'freq': 'M',\n",
    "    'yld_curv': 'SPOT_RT',\n",
    "    'maturity': maturities,\n",
    "    'bonds': 'CGB_EA_AAA', 'geo': 'EA'})\n",
    "euro_curves = euro_curves.drop(euro_curves.columns[:3].append(euro_curves.columns[4:5]), axis=1)\n",
    "euro_curves = euro_curves.set_index(euro_curves.columns[0]).T / 100.\n",
    "euro_spot_rates = euro_curves.set_axis(pd.DatetimeIndex(euro_curves.index, 'MS'))\n",
    "\n",
    "mm_rates = eurostat.get_data_df('irt_st_m', filter_pars={\n",
    "    'startPeriod': (report_end-MonthBegin(4)).date(), 'freq': 'M',\n",
    "    'int_rt': 'IRT_M1', 'geo': 'EA'}).iloc[:,2:]\n",
    "mm_rates = mm_rates.set_index(mm_rates.columns[0]).T / 100.\n",
    "mm_rates = mm_rates.set_axis(pd.DatetimeIndex(mm_rates.index, 'MS'))\n",
    "\n",
    "ecb_deposit_rate = web.get_data_fred('ECBDFR', start=report_end-MonthBegin(4)) / 100.\n",
    "\n",
    "# Resample to monthly frequency\n",
    "ecb_deposit_rate = ecb_deposit_rate.asfreq('D').resample('MS').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "auburn-prague",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting EURIBOR and ECB Deposit rates from actual/360 to actual/actual and then to continuous compounding\n",
    "leap_year_cond = lambda idx: idx.year % 4 == 0 & ((idx.year % 100 != 0) | (idx.year % 400 == 0))\n",
    "mm_rates[leap_year_cond(mm_rates.index)] *= 366. / 360\n",
    "mm_rates[np.invert(leap_year_cond(mm_rates.index))] *= 365. / 360\n",
    "ecb_deposit_rate[leap_year_cond(ecb_deposit_rate.index)] *= 366. / 360\n",
    "ecb_deposit_rate[np.invert(leap_year_cond(ecb_deposit_rate.index))] *= 365. / 360\n",
    "\n",
    "\n",
    "# From annual to continuous compounding\n",
    "ecb_deposit_rate = np.log(1 + ecb_deposit_rate)\n",
    "mm_rates = np.log(1 + mm_rates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "common-paris",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>maturity</th>\n",
       "      <th>1 month</th>\n",
       "      <th>Y1</th>\n",
       "      <th>Y2</th>\n",
       "      <th>Y3</th>\n",
       "      <th>Y4</th>\n",
       "      <th>Y5</th>\n",
       "      <th>Y6</th>\n",
       "      <th>Y7</th>\n",
       "      <th>Y8</th>\n",
       "      <th>Y9</th>\n",
       "      <th>...</th>\n",
       "      <th>Y21</th>\n",
       "      <th>Y22</th>\n",
       "      <th>Y23</th>\n",
       "      <th>Y24</th>\n",
       "      <th>Y25</th>\n",
       "      <th>Y26</th>\n",
       "      <th>Y27</th>\n",
       "      <th>Y28</th>\n",
       "      <th>Y29</th>\n",
       "      <th>Y30</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-11-01</th>\n",
       "      <td>3.0699%</td>\n",
       "      <td>2.3342%</td>\n",
       "      <td>2.0845%</td>\n",
       "      <td>2.0347%</td>\n",
       "      <td>2.0622%</td>\n",
       "      <td>2.1184%</td>\n",
       "      <td>2.1831%</td>\n",
       "      <td>2.2475%</td>\n",
       "      <td>2.3077%</td>\n",
       "      <td>2.3620%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5894%</td>\n",
       "      <td>2.5843%</td>\n",
       "      <td>2.5770%</td>\n",
       "      <td>2.5679%</td>\n",
       "      <td>2.5571%</td>\n",
       "      <td>2.5450%</td>\n",
       "      <td>2.5316%</td>\n",
       "      <td>2.5171%</td>\n",
       "      <td>2.5017%</td>\n",
       "      <td>2.4856%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-12-01</th>\n",
       "      <td>2.8919%</td>\n",
       "      <td>2.1885%</td>\n",
       "      <td>1.9627%</td>\n",
       "      <td>1.9152%</td>\n",
       "      <td>1.9408%</td>\n",
       "      <td>1.9952%</td>\n",
       "      <td>2.0589%</td>\n",
       "      <td>2.1228%</td>\n",
       "      <td>2.1828%</td>\n",
       "      <td>2.2371%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.4618%</td>\n",
       "      <td>2.4566%</td>\n",
       "      <td>2.4492%</td>\n",
       "      <td>2.4400%</td>\n",
       "      <td>2.4292%</td>\n",
       "      <td>2.4171%</td>\n",
       "      <td>2.4037%</td>\n",
       "      <td>2.3893%</td>\n",
       "      <td>2.3740%</td>\n",
       "      <td>2.3581%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-01-01</th>\n",
       "      <td>2.7945%</td>\n",
       "      <td>2.3073%</td>\n",
       "      <td>2.1732%</td>\n",
       "      <td>2.1635%</td>\n",
       "      <td>2.2084%</td>\n",
       "      <td>2.2754%</td>\n",
       "      <td>2.3485%</td>\n",
       "      <td>2.4203%</td>\n",
       "      <td>2.4869%</td>\n",
       "      <td>2.5468%</td>\n",
       "      <td>...</td>\n",
       "      <td>2.7895%</td>\n",
       "      <td>2.7833%</td>\n",
       "      <td>2.7749%</td>\n",
       "      <td>2.7645%</td>\n",
       "      <td>2.7524%</td>\n",
       "      <td>2.7388%</td>\n",
       "      <td>2.7239%</td>\n",
       "      <td>2.7079%</td>\n",
       "      <td>2.6910%</td>\n",
       "      <td>2.6733%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "maturity    1 month      Y1      Y2      Y3      Y4      Y5      Y6      Y7  \\\n",
       "2024-11-01  3.0699% 2.3342% 2.0845% 2.0347% 2.0622% 2.1184% 2.1831% 2.2475%   \n",
       "2024-12-01  2.8919% 2.1885% 1.9627% 1.9152% 1.9408% 1.9952% 2.0589% 2.1228%   \n",
       "2025-01-01  2.7945% 2.3073% 2.1732% 2.1635% 2.2084% 2.2754% 2.3485% 2.4203%   \n",
       "\n",
       "maturity        Y8      Y9  ...     Y21     Y22     Y23     Y24     Y25  \\\n",
       "2024-11-01 2.3077% 2.3620%  ... 2.5894% 2.5843% 2.5770% 2.5679% 2.5571%   \n",
       "2024-12-01 2.1828% 2.2371%  ... 2.4618% 2.4566% 2.4492% 2.4400% 2.4292%   \n",
       "2025-01-01 2.4869% 2.5468%  ... 2.7895% 2.7833% 2.7749% 2.7645% 2.7524%   \n",
       "\n",
       "maturity       Y26     Y27     Y28     Y29     Y30  \n",
       "2024-11-01 2.5450% 2.5316% 2.5171% 2.5017% 2.4856%  \n",
       "2024-12-01 2.4171% 2.4037% 2.3893% 2.3740% 2.3581%  \n",
       "2025-01-01 2.7388% 2.7239% 2.7079% 2.6910% 2.6733%  \n",
       "\n",
       "[3 rows x 31 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mm_rates.columns.rename(euro_spot_rates.columns.name, inplace=True)\n",
    "mm_rates.rename(columns={'EA': '1 month'}, inplace=True)\n",
    "pd.concat([mm_rates, euro_spot_rates], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "acceptable-imperial",
   "metadata": {},
   "outputs": [],
   "source": [
    "date_now = euro_spot_rates.index[-1].date()\n",
    "date_1_mth_ago = date_now + relativedelta(months=-1)\n",
    "date_2_mth_ago = date_now + relativedelta(months=-2)\n",
    "offsets = [relativedelta(years=+maturity) for maturity in year_maturities]\n",
    "monthly_offsets = [relativedelta(), relativedelta(months=+1)] #, relativedelta(months=+3), relativedelta(months=+6)]\n",
    "offsets = monthly_offsets + offsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "consistent-situation",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define Euro yield curves\n",
    "curve = curves.YieldCurve(date_now, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate.loc[str(mm_rates.index[-1])].to_numpy(), mm_rates.iloc[-1].to_numpy()),\n",
    "            euro_spot_rates.iloc[-1].to_numpy()), compounding_freq=0)\n",
    "curve_1_mth_ago = curves.YieldCurve(date_1_mth_ago, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:], mm_rates[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:]),\n",
    "            euro_spot_rates[date_1_mth_ago:date_1_mth_ago+BDay()].to_numpy()[0,:]), compounding_freq=0)\n",
    "curve_2_mth_ago = curves.YieldCurve(date_2_mth_ago, offsets, np.append(\n",
    "            np.append(ecb_deposit_rate[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:], mm_rates[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:]),\n",
    "            euro_spot_rates[date_2_mth_ago:date_2_mth_ago+BDay()].to_numpy()[0,:]), compounding_freq=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "destroyed-postage",
   "metadata": {},
   "outputs": [],
   "source": [
    "curve_points = curve.get_curve_points(120)\n",
    "curve_points_1_mth_ago = curve_1_mth_ago.get_curve_points(120)\n",
    "curve_points_2_mth_ago = curve_2_mth_ago.get_curve_points(120)\n",
    "curve_points.rename('Euro riskless rate', inplace=True)\n",
    "curve_points_1_mth_ago.rename(curve_points.name + ' (1 month prior)', inplace=True)\n",
    "curve_points_2_mth_ago.rename(curve_points.name + ' (2 months prior)', inplace=True)\n",
    "\n",
    "# Replacing indices for sake of better visualization\n",
    "curve_points_1_mth_ago = curve_points_1_mth_ago.set_axis(curve_points.index)\n",
    "curve_points_2_mth_ago = curve_points_2_mth_ago.set_axis(curve_points.index)\n",
    "df = pd.concat([curve_points, curve_points_1_mth_ago, curve_points_2_mth_ago], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "going-standard",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Euro riskless rate</th>\n",
       "      <th>Euro riskless rate (1 month prior)</th>\n",
       "      <th>Euro riskless rate (2 months prior)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2025-01-01</th>\n",
       "      <td>2.9963%</td>\n",
       "      <td>3.1396%</td>\n",
       "      <td>3.2508%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-04-03</th>\n",
       "      <td>2.5351%</td>\n",
       "      <td>2.5213%</td>\n",
       "      <td>2.7925%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-07-04</th>\n",
       "      <td>2.3353%</td>\n",
       "      <td>2.2477%</td>\n",
       "      <td>2.5336%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2025-10-04</th>\n",
       "      <td>2.2937%</td>\n",
       "      <td>2.1822%</td>\n",
       "      <td>2.4038%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026-01-04</th>\n",
       "      <td>2.3076%</td>\n",
       "      <td>2.1884%</td>\n",
       "      <td>2.3333%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2053-12-28</th>\n",
       "      <td>2.6912%</td>\n",
       "      <td>2.3742%</td>\n",
       "      <td>2.5019%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-03-30</th>\n",
       "      <td>2.6868%</td>\n",
       "      <td>2.3702%</td>\n",
       "      <td>2.4979%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-06-30</th>\n",
       "      <td>2.6823%</td>\n",
       "      <td>2.3662%</td>\n",
       "      <td>2.4939%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2054-10-01</th>\n",
       "      <td>2.6779%</td>\n",
       "      <td>2.3621%</td>\n",
       "      <td>2.4898%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2055-01-01</th>\n",
       "      <td>2.6733%</td>\n",
       "      <td>2.3581%</td>\n",
       "      <td>2.4856%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Euro riskless rate  Euro riskless rate (1 month prior)  \\\n",
       "2025-01-01             2.9963%                             3.1396%   \n",
       "2025-04-03             2.5351%                             2.5213%   \n",
       "2025-07-04             2.3353%                             2.2477%   \n",
       "2025-10-04             2.2937%                             2.1822%   \n",
       "2026-01-04             2.3076%                             2.1884%   \n",
       "...                        ...                                 ...   \n",
       "2053-12-28             2.6912%                             2.3742%   \n",
       "2054-03-30             2.6868%                             2.3702%   \n",
       "2054-06-30             2.6823%                             2.3662%   \n",
       "2054-10-01             2.6779%                             2.3621%   \n",
       "2055-01-01             2.6733%                             2.3581%   \n",
       "\n",
       "            Euro riskless rate (2 months prior)  \n",
       "2025-01-01                              3.2508%  \n",
       "2025-04-03                              2.7925%  \n",
       "2025-07-04                              2.5336%  \n",
       "2025-10-04                              2.4038%  \n",
       "2026-01-04                              2.3333%  \n",
       "...                                         ...  \n",
       "2053-12-28                              2.5019%  \n",
       "2054-03-30                              2.4979%  \n",
       "2054-06-30                              2.4939%  \n",
       "2054-10-01                              2.4898%  \n",
       "2055-01-01                              2.4856%  \n",
       "\n",
       "[120 rows x 3 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "conscious-gnome",
   "metadata": {},
   "source": [
    "#### Compounding frequency\n",
    "The rates presented throught this notebook use a continuous compounding frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "catholic-welcome",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.iloc[:,0:1].plot(figsize=(20,10), grid=True,\n",
    "             title='Euro Riskless Rate Curve over month ' + date_now.strftime('%Y-%m'),\n",
    "             xlim=(df.index[0], df.index[-1]), xticks=df.index[::4], xlabel='', rot=45)\n",
    "df.iloc[:,1:2].plot(ax=ax, grid=True, xticks=df.index[::4], rot=45, linestyle='--', color=['#1f77b4'])\n",
    "df.iloc[:,2:3].plot(ax=ax, grid=True, xticks=df.index[::4], rot=45, linestyle=':', color=['#1f77b4'])\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, df.index[::4])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "valued-baseline",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of +29.68bps between 2025-01 and 2024-12 across maturities\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bps between {:%Y-%m} and {:%Y-%m} across maturities'.format(\n",
    "    (df.iloc[:,0]-df.iloc[:,1]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "sexual-house",
   "metadata": {},
   "outputs": [],
   "source": [
    "year_split = date(2033, 11, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "parliamentary-conflict",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of +23.48bps between 2025-01 and 2024-12 for maturities up to 2033-11\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bps between {:%Y-%m} and {:%Y-%m} for maturities up to {:%Y-%m}'.format(\n",
    "    (df.loc[:year_split,df.columns[0]]-df.loc[:year_split,df.columns[1]]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date(), year_split))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "fatty-crawford",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "An average shift of +32.34bp between 2025-01 and 2024-12 for maturities from 2033-11\n"
     ]
    }
   ],
   "source": [
    "print('An average shift of {:+.2f}bp between {:%Y-%m} and {:%Y-%m} for maturities from {:%Y-%m}'.format(\n",
    "    (df.loc[year_split:,df.columns[0]]-df.loc[year_split:,df.columns[1]]).mean() * 10000,\n",
    "    euro_spot_rates.index[-1].date(), euro_spot_rates.index[-2].date(), year_split))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "technological-convention",
   "metadata": {},
   "outputs": [],
   "source": [
    "offset_in_years = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "acting-mechanics",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average short-term (<3y) riskless yield: 2.32%\n"
     ]
    }
   ],
   "source": [
    "print('Average short-term (<{:d}y) riskless yield: {:.2%}'.format(offset_in_years,\n",
    "    df.loc[:(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)),df.columns[0]].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "damaged-composite",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average long-term (>3y) riskless yield: 2.65%\n"
     ]
    }
   ],
   "source": [
    "print('Average long-term (>{:d}y) riskless yield: {:.2%}'.format(offset_in_years,\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "greek-input",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Long-term (>3y) riskless yield: 2.16%-2.79%\n"
     ]
    }
   ],
   "source": [
    "print('Long-term (>{:d}y) riskless yield: {:.2%}-{:.2%}'.format(offset_in_years,\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].min(),\n",
    "    df.loc[(euro_spot_rates.index[-1].date()+relativedelta(years=+offset_in_years)):,df.columns[0]].max()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "bizarre-mount",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   2.9963%\n",
       "dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "affiliated-fifth",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   2.1467%\n",
       "dtype: float64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "loose-charles",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Euro riskless rate   2027-07-10\n",
       "dtype: datetime64[ns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,0:1].idxmin()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "associate-polish",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(0.0018773000000000019)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[-1,0]-df.iloc[-1,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d496939-af53-4dcb-94a5-64372eb0a599",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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