Finance & Markets
Investment theory, portfolio management, backtesting, and quantitative analysis study notes
Master fundamental analysis to make informed investment decisions. This guide covers key indicators like PER, PBR, ROE, and qualitative evaluation factors.
Explore sector analysis using correlation coefficients and Python. Includes practical concepts and results calculated from actual market data.
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.
Construct optimal portfolios using Python. A step-by-step guide to calculating returns, risk, covariance, and building the Efficient Frontier.
Master the Capital Asset Pricing Model (CAPM). Learn basic concepts, calculation steps, and Python implementation with yfinance for modeling.
Master market portfolio concepts and calculation methods for efficient asset allocation. Learn about risk diversification, benchmarks, and weight calculation.
Explore Wealthfront's investment methodology. Learn about asset class selection, Black-Litterman model, risk tolerance evaluation, and rebalancing strategies.
