
The efficient markets hypothesis has been the central proposition in finance for nearly thirty years. It states that securities prices in financial markets must equal fundamental values, either because all investors are rational or because arbitrage eliminates pricing anomalies. This book describes an alternative approach to the study of financial markets: behavioral finance. This approach starts with an observation that the assumptions of investor rationality and perfect arbitrage are overwhelmingly contradicted by both psychological and institutional evidence. In actual financial markets, less than fully rational investors trade against arbitrageurs whose resources are limited by risk aversion, short horizons, and agency problems. The book presents and empirically evaluates models of such inefficient markets. Behavioral finance models both explain the available financial data better than does the efficient markets hypothesis and generate new empirical predictions. These models can account for such anomalies as the superior performance of value stocks, the closed end fund puzzle, the high returns on stocks included in market indices, the persistence of stock price bubbles, and even the collapse of several well-known hedge funds in 1998. By summarizing and expanding the research in behavioral finance, the book builds a new theoretical and empirical foundation for the economic analysis of real-world markets.
This book investigates whether the efficient markets hypothesis holds up against empirical evidence of investor irrationality and market limitations. Andrei Shleifer, a prominent economist, challenges the traditional view that securities prices always reflect fundamental values. He argues that psychological biases and institutional constraints prevent perfect arbitrage, leading to persistent market inefficiencies that can be modeled and predicted.
What You Will Find
Scope Limits
Experts recognize this work as a foundational text for understanding the shift toward behavioral finance in academic economics. Readers frequently note the technical density of the prose, which is intended for students and professionals familiar with economic modeling.
Page Count:
224
Publication Date:
2000-01-01
Publisher:
OUP Oxford
ISBN-10:
0191606898
ISBN-13:
9780191606892
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