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34 | 34 | - Multivariate Regression Analysis
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35 | 35 | - Monte Carlo Simulations in Finance
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36 | 36 | - Bonds Theory & Implementation
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37 |
| -- Derivatives Basics |
| 37 | +- # Python for Finance |
| 38 | + |
| 39 | +- Python Variables and Data Types |
| 40 | +- Basic Python Syntax |
| 41 | +- Python Operators |
| 42 | +- Conditional Statements |
| 43 | +- Functions |
| 44 | +- Sequences |
| 45 | +- Using Iterations in Python |
| 46 | +- Data Structures in Python |
| 47 | +- Object Oriented Programming |
| 48 | +- Standard Template Library(STL) |
| 49 | +- Multithreading & Concurrency |
| 50 | + |
| 51 | + |
| 52 | + |
| 53 | +# Finance Topics To Know |
| 54 | + |
| 55 | +- Calculating Risk and Return |
| 56 | +- Calculating a security's risk of Return - Simple Return & Log Return |
| 57 | +- Portfolio of Securities and Its rate of return |
| 58 | +- Calculating the Indices Rate of Return |
| 59 | +- Calculating a security's risk in Python |
| 60 | +- Benefits of Portfolio Diversification |
| 61 | +- Calculating the covariance between the securities |
| 62 | +- Calculating Covariance and Correlation |
| 63 | +- Calculating the Risk of Multiple Securities |
| 64 | +- Calculating Portfolio Risk |
| 65 | +- Understanding Systematic Vs Idiosyncratic Risk |
| 66 | +- Calculating Diversifiable and Non-Diversiable Risk of a Portfolio |
| 67 | +- Using Regressions for Financial Analysis |
| 68 | +- Markowitz Portfolio Theory & Markowitz Model Implementation |
| 69 | +- Capital Asset Pricing Model(CAPM) & its Implementation |
| 70 | +- Multivariate Regression Analysis |
| 71 | +- Monte Carlo Simulations in Finance |
| 72 | +- Bonds Theory & Implementation |
| 73 | +- Derivatives(Forward, Future, Option, Swaps) |
38 | 74 | - Black Scholes Model and Its Implementation
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39 | 75 | - Random Behavior in Finance
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40 | 76 | - Value at Risk(VaR) & Its Implementation
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41 | 77 | - Interest Rate Modeling (Vasicek Model)
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42 | 78 | - Pricing Bonds with Vasicek Model
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43 | 79 | - Long Term Investing
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| 80 | +- Black Scholes Model and Its Implementation |
| 81 | +- Random Behavior in Finance |
| 82 | +- Value at Risk(VaR) & Its Implementation |
| 83 | +- Interest Rate Modeling (Vasicek Model) |
| 84 | +- Pricing Bonds with Vasicek Model |
| 85 | +- Long Term Investing |
| 86 | + |
| 87 | + |
| 88 | + |
| 89 | +## [Quant Finance Bootcamp](https://quantfinanceinstitute.com/courses/quant-finance-bootcamp-25/) |
| 90 | + |
| 91 | +- Derivatives(Forward, Future, Option, Swaps) |
| 92 | +- Options (Call, Put) |
| 93 | +- Risk Management in Derivatives |
| 94 | + - Greeks (Delta, Gamma, Theta, Vega, Rho) |
| 95 | + - Hedging (Delta Hedging, Gamma Hedging, Theta Hedging, Vega Hedging, RhoHedging) |
| 96 | + - Value at Risk Models for Equity Portfolio |
| 97 | +- Quantitative Modeling |
| 98 | + - Binomial Tree - One-Step, Two Step |
| 99 | + - Geometric Brownian Motion |
| 100 | + - Black Scholes Model |
| 101 | + - Monte Carlo Methods for Quant Finance (Asian, Barrier, European Option) |
| 102 | +- Stochastic Interest Rate Modeling |
| 103 | + - Vasicek Interest Rate Model |
| 104 | + - CIR Interest Rate Model |
| 105 | +- Model Validation |
| 106 | +- Portfolio Management |
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