Portfolio Risk Management in Python

Managing investment risk is the cornerstone of successful asset management. This text-based course introduces you to the core concepts of quantitative finance and shows you how to analyze financial risk programmatically using Python. You will transition from manual tracking to systematic portfolio analysis. By understanding how to measure risk and return, you will gain the foundational skills needed to write clean, maintainable Python code that evaluates portfolio performance, assesses market exposure, and simulates potential future scenarios. What you'll learn: - Understand foundational risk concepts, including standard deviation, variance, and Value at Risk (VaR). - Calculate asset and portfolio returns using modern Python data libraries and robust coding practices like type hinting. - Construct market-cap weighted portfolios and analyze the underlying factors driving performance. - Forecast potential market risks using historical simulation and scenario generation techniques. - Apply basic hedging strategies to mitigate portfolio exposure during market downturns. The course begins with essential financial definitions and risk terminology before moving into practical Python implementations. You will read through step-by-step code explanations, analyze structured data, and practice with written exercises designed to build your quantitative confidence. This course is designed for beginners in financial programming, retail investors, and aspiring quantitative analysts, requiring only a basic familiarity with Python. Start building your quantitative toolkit and learn to manage investment risk programmatically.