Finance & Markets
Investment theory, portfolio management, backtesting, and quantitative analysis study notes
A curated link collection of investment portfolio model articles, systematically covering asset allocation, expected return calculation, and risk management.
Master fundamental analysis to make informed investment decisions. This guide covers key indicators like PER, PBR, ROE, and qualitative evaluation factors.
Calculate factor model beta with Python using regression analysis. Fetch TOPIX and ETF data to compute stock exposure and specific risk components.
Explore sector analysis using correlation coefficients and Python. Includes practical concepts and results calculated from actual market data.
Learn to implement a Buy and Hold strategy using Backtrader in Python. This guide covers library installation, data fetching, and visualizing backtest results.
Explaining procedure to implement Rebalance strategy using Python library Backtrader, and perform backtest using data of past 10 years step by step.
Critical overview of VaR and CVaR for investment risk management. Learn how to evaluate and use these indices to manage potential losses effectively.
Master the Barra model for portfolio risk management. Learn about multi-factor modeling, beta calculation, and performance decomposition for smart investing.
Master the Fama-French 3-Factor Model with our Python guide. Learn how market, size, and value factors drive investment returns.
In this article, explaining basic concept, Merit, calculation method of Risk Parity Portfolio, and implementation method in Python.
Calculate Mean-Variance Optimization and Efficient Frontiers using Python. A detailed guide covering theory and practical implementation for portfolios.
Optimize asset allocation using the Black-Litterman Model. Learn to blend market data with investor views using Python and Bayesian approaches.
