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readme.md

Python for Finance

  • Python Variables and Data Types
  • Basic Python Syntax
  • Python Operators
  • Conditional Statements
  • Functions
  • Sequences
  • Using Iterations in Python
  • Data Structures in Python
  • Object Oriented Programming
  • Standard Template Library(STL)
  • Multithreading & Concurrency

Time Series Modeling in Python

  • AR Model
  • MA Model
  • ARMA Model
  • ARIMA Model
  • ARIMAX Model
  • SARIMAX Model
  • ARCH Model
  • GARCH Model

Finance Topics To Know

  • Calculating Risk and Return
  • Calculating a security's risk of Return - Simple Return & Log Return
  • Portfolio of Securities and Its rate of return
  • Calculating the Indices Rate of Return
  • Calculating a security's risk in Python
  • Benefits of Portfolio Diversification
  • Calculating the covariance between the securities
  • Calculating Covariance and Correlation
  • Calculating the Risk of Multiple Securities
  • Calculating Portfolio Risk
  • Understanding Systematic Vs Idiosyncratic Risk
  • Calculating Diversifiable and Non-Diversiable Risk of a Portfolio
  • Using Regressions for Financial Analysis
  • Markowitz Portfolio Theory & Markowitz Model Implementation
  • Capital Asset Pricing Model(CAPM) & its Implementation
  • Multivariate Regression Analysis
  • Monte Carlo Simulations in Finance
  • Bonds Theory & Implementation
  • Derivatives(Forward, Future, Option, Swaps)
  • Black Scholes Model and Its Implementation
  • Random Behavior in Finance
  • Value at Risk(VaR) & Its Implementation
  • Interest Rate Modeling (Vasicek Model)
  • Pricing Bonds with Vasicek Model
  • Long Term Investing
  • Black Scholes Model and Its Implementation
  • Random Behavior in Finance
  • Value at Risk(VaR) & Its Implementation
  • Interest Rate Modeling (Vasicek Model)
  • Pricing Bonds with Vasicek Model
  • Long Term Investing
  • Derivatives(Forward, Future, Option, Swaps)
  • Options (Call, Put)
  • Risk Management in Derivatives
    • Greeks (Delta, Gamma, Theta, Vega, Rho)
    • Hedging (Delta Hedging, Gamma Hedging, Theta Hedging, Vega Hedging, RhoHedging)
    • Value at Risk Models for Equity Portfolio
  • Quantitative Modeling
    • Binomial Tree - One-Step, Two Step
    • Geometric Brownian Motion
    • Black Scholes Model
    • Monte Carlo Methods for Quant Finance (Asian, Barrier, European Option)
  • Stochastic Interest Rate Modeling
    • Vasicek Interest Rate Model
    • CIR Interest Rate Model
  • Model Validation
  • Value at Risk Models
    • Historical Method & its implementation
    • Variance Covariance Method & its implementation
    • Monte Carlo Simulation Method & its implementation
    • Backtest VaR Using Traffic Light Approach - Theory & Excel Implementation
    • Backtest VaR Using Kupiec Test - Theory & Excel Implementation
    • Expected Shortfall Theory & its implementation
  • Portfolio Management
  • Credit Risk Modeling in Python
    • Probability of Default (PD) Model
    • Loss Given Default (LGD) Model
    • Exposure at Default (EAD) Model