Stanford’s Finance 221, “Asset Pricing,” is a core course in the university’s finance curriculum, deeply exploring the theory and empirics underlying asset valuation. It’s considered a rigorous and mathematically intensive subject, typically taken by advanced undergraduate and graduate students. The course aims to equip students with the analytical tools necessary to understand how assets are priced in financial markets, focusing heavily on equilibrium models. A central theme revolves around the consumption-based capital asset pricing model (CCAPM), delving into its theoretical foundations and empirical shortcomings. Students learn how to derive asset pricing implications from intertemporal optimization problems, examining how investor preferences and consumption patterns influence asset values. Extensions and alternatives to the CAPM, such as factor models (e.g., the Fama-French three-factor model and more recent multi-factor models), are explored, analyzing their ability to explain cross-sectional variations in asset returns. The course places significant emphasis on understanding stochastic discount factors (SDFs), also known as pricing kernels. Students learn how to use SDFs to price any asset, linking asset prices to the marginal utility of consumption. This framework provides a unifying perspective on asset pricing, connecting various models and approaches. Beyond theoretical models, Finance 221 delves into empirical testing of asset pricing theories. Students learn econometric techniques relevant for testing asset pricing models, including time-series regressions, cross-sectional regressions, and GMM (Generalized Method of Moments). They evaluate the performance of different models by analyzing historical data and assessing their ability to explain observed market phenomena. Emphasis is placed on understanding the limitations of empirical tests and the challenges associated with identifying true relationships in noisy financial data. The course also covers topics such as fixed income securities, derivatives pricing, and market microstructure. Students learn about different types of bonds, their valuation, and the term structure of interest rates. The basics of option pricing theory are introduced, including the Black-Scholes model. Finally, the course touches upon the functioning of financial markets, including the role of market makers and the impact of trading costs on asset prices. Prerequisites for Finance 221 typically include a strong foundation in probability, statistics, and econometrics, as well as familiarity with basic finance concepts. Students are expected to have a solid understanding of calculus, linear algebra, and optimization techniques. The workload is substantial, involving problem sets, readings of academic papers, and often a final exam or research project. Overall, Stanford’s Finance 221 provides a deep dive into the core principles of asset pricing, blending theoretical rigor with empirical analysis. The course equips students with the skills necessary to conduct research in asset pricing and to apply these concepts in practical settings, such as investment management and financial engineering. It’s a challenging but rewarding course for those seeking a comprehensive understanding of how assets are valued in financial markets.