Quantitative Value Investing: Frameworks for stock valuation

Quantitative Value Investing: Frameworks for stock valuation, taught by Sharad S Ramnarayanan, bridges the gap between classic fundamental analysis and modern mathematical rigor. Designed for intermediate investors, financial analysts, and private portfolio managers, this comprehensive five-hour course moves past speculation to offer structured, numbers-driven frameworks. Students will master quantitative techniques to accurately calculate a company's intrinsic value and establish a robust margin of safety before committing capital. Beyond static valuation metrics, the curriculum delves deeply into decoding market-implied expectations, allowing investors to understand what current stock prices signal about future business performance. Key practical modules address risk management, specifically focusing on systematic position sizing—determining precisely how much to buy or sell to optimize risk-adjusted returns without overexposing capital. Through real-world case studies across diverse value investing themes, learners gain the actionable confidence needed to filter market noise, identify undervalued opportunities, and construct a resilient investment portfolio built on empirical valuation principles instead of emotional bias.