Asset Pricing Models and Market Efficiency

Using Machine Learning to Explain Stock Market Anomalies

Inbunden, Engelska, 2026

AvJames W. Kolari,Wei Liu,Jianhua Z. Huang,Huiling Liao

1 849 kr

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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.

Produktinformation

Utgivningsdatum2026-01-14
Mått148 x 210 x 19 mm
Vikt446 g
FormatInbunden
SpråkEngelska
Antal sidor218
FörlagSpringer International Publishing AG
ISBN9783031929007

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James W. Kolari is the JP Morgan Chase Professor of Finance and Academic Director of the Global Corporate Banking Program in the Department of Finance at Texas A&M University, College Station, Texas, USA. Wei Liu is a Clinical Associate Professor of Finance in the Department of Finance at Texas A&M University, College Station, Texas, USA. Before that, he was a senior quantitative analyst at USAA Bank in San Antonio, Texas as well as IberiaBank Corporation in Birmingham, Alabama. Jianhua Z. Huang is Presidential Chair Professor and Director of the Technology and Innovation Center for Digital Economy at School of Data Science, The Chinese University of Hong Kong, Shenzhen. Huiling Liao is currently working at the Illinois Institute of Technology in Chicago, Illinois. She previously was a Postdoctoral Associate with the Division of Biostatistics and Health Data Science at the University of Minnesota.

Part I Introduction.- 1. The Rise of Anomalies: Challenging Theory and Practice in Finance.- 2. Anomaly Stock Portfolios.- Part II Anomalies Literature and Asset Pricing Models.- 3. Prominent Asset Pricing Models and Anomaly Portfolio Returns.- 4. The ZCAPM and Anomaly Portfolio Returns.- Part III Explaining Anomaly Portfolio Returns.- 5. Can Asset Pricing Models Explain Anomaly Stock Portfolio Returns?.- 6. Further Tests of Asset Pricing Models and Anomaly Portfolio Returns.- Part IV Asset Pricing Model Validity.- 7. Empirical Tests on the Validity of Asset Pricing Models.- Part VI Conclusion.- 8. Machine Learning in Asset Pricing Models: The Dominance of the ZCAPM.