Asset Pricing Models and Market Efficiency: Using Machine Learning to Explain Stock Market Anomalies (Hardcover) (ISBN-13: 9783031929007)

This book shows that the stock market returns of hundreds of anomaly portfolios discovered by researchers in finance over the past three decades can be explained by a recent asset pricing model dubbed the ZCAPM. Anomaly portfolios are long/short portfolio returns on stocks that cannot be explained by asset pricing models, and their number has been steadily increasing into the hundreds. Since asset pricing models cannot explain them, behavioral theories have become popular to account for anomalies. Unlike the efficient market hypothesis that assumes rational investors, these human psychology-based theories emphasize irrational investor behavior. This book collects and analyzes a large database of U.S. stock returns for anomaly portfolios over a long sample period spanning approximately 60 years. The authors overview different asset pricing models that have attempted to explain anomalous portfolio returns in the stock market. They then provide a theoretical and empirical discussion of a new asset pricing model dubbed the ZCAPM and report compelling empirical evidence that reveals the ZCAPM can explain hundreds of anomalies. Implications to the efficient-markets/behavioral-finance controversy are discussed. The book will be of particular interest to researchers, students, and professors of capital markets, asset management, and financial economics alongside professionals.

Author: James W. Kolari,Wei Liu,Jianhua Z. Huang
ISBN-10: 3031929004
ISBN-13: 9783031929007
Publisher: Palgrave MacMillan
Language: English
Published: 01/14/2026
Pages: 218
Format: Hardcover
Weight: 0.99lbs
Size: 8.39h x 6.16w x 0.80d