Sparked with wit and humor, this clever and insightful book provides clear evidence that the stock market is inefficient. In the author's view, models based on rational economic behavior cannot explain important aspects of market behavior. The book tackles important issues in today's financial market in a highly conversational and entertaining manner that will appeal to most readers. Chapter topics include: estimating expected return with the theories of modern finance, estimating portfolio risk and expected return with ad hoc factor models, payoffs to the five families, predicting future stock returns with the expected-return factor model, super stocks and stupid stocks, the international results, the topography of the stock market, the positive payoffs to cheapness and profitability, the negative payoff to risk, and the forces behind the technical payoffs to price-history. For anyone who wants to learn more about today's financial markets.

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.

Efficient Market Theory is based largely on the concept of crowd wisdom - that a large group of people casting their collective votes in the stock market produces correct stock prices and hence an "efficient market." However, we know from experience that the stock market is not entirely efficient, and sometimes produces wildly incorrect prices. This book explores the various criteria that are required for crowd wisdom to manifest in a financial marketplace, these being: 1) incentives; 2) independence; 3) diversity of opinion; 4) decentralization; 5) knowledge; and 6) rationality. A fundamental premise of this book is that a proper understanding of crowd wisdom criteria, and the ability to detect when these criteria are lacking in the market, is a significant benefit in identifying mispriced securities. In particular, this book explores the various behavioral and psychological biases that affect market participants, what we call the "Foolishness of the Crowd." The predictability of this Foolishness, i.e., the predictability of these biases in a crowd setting such as the stock market, produces reliable offsets from crowd wisdom, i.e., stock mispricings. This book then proposes an investment framework based in part on the investor's "inefficient rationale" - his articulated understanding, based on the above crowd wisdom criteria, as to exactly why the market is mispricing a particular stock. The investment framework also utilizes the wisdom from a select value investing crowd to both identify and help confirm good investment opportunities. The investor who adheres to this investment framework essentially places the full benefit of crowd wisdom and knowledge into his corner, including both the wisdom of the crowd and predictable departures from this wisdom.

Efficiently Inefficient describes the key trading strategies used by hedge funds and demystifies the secret world of active investing. Leading financial economist Lasse Heje Pedersen combines the latest research with real-world examples and interviews with top hedge fund managers to show how certain trading strategies make money - and why they sometimes don't. -- from back cover.

A new, evolutionary explanation of markets and investor behavior Half of all Americans have money in the stock market, yet economists can’t agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe. The debate is one of the biggest in economics, and the value or futility of investment management and financial regulation hangs on the answer. In this groundbreaking book, Andrew Lo transforms the debate with a powerful new framework in which rationality and irrationality coexist—the Adaptive Markets Hypothesis. Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency is incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo’s new paradigm explains how financial evolution shapes behavior and markets at the speed of thought—a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation. An ambitious new answer to fundamental questions about economics and investing, Adaptive Markets is essential reading for anyone who wants to understand how markets really work.

Updated with a new chapter that draws on behavioral finance, the field that studies the psychology of investment decisions, the bestselling guide to investing evaluates the full range of financial opportunities.

This book gathers a collection of multidisciplinary essays by Jess Huerta de Soto, examining the dynamic processes of social cooperation which characterize the market, with particular emphasis on the role of both entrepreneurship and institutions.

In this collection of provocative essays, Joseph Heath provides a compelling new framework for thinking about the moral obligations that private actors in a market economy have toward each other and to society. In a sharp break with traditional approaches to business ethics, Heath argues that the basic principles of corporate social responsibility are already implicit in the institutional norms that structure both marketplace competition and the modern business corporation. In four new and nine previously published essays, Heath articulates the foundations of a "market failures" approach to business ethics. Rather than bringing moral concerns to bear upon economic activity as a set of foreign or externally imposed constraints, this approach seeks to articulate a robust conception of business ethics derived solely from the basic normative justification for capitalism. The result is a unified theory of business ethics, corporate law, economic regulation, and the welfare state, which offers a reconstruction of the central normative preoccupations in each area that is consistent across all four domains. Beyond the core theory, Heath offers new insights on a wide range of topics in economics and philosophy, from agency theory and risk management to social cooperation and the transaction cost theory of the firm.

Investment pioneer Len Zacks presents the latest academic research on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes and summarizes research carried out by hundreds of finance and accounting professors over the last twenty years to identify and measure equity market inefficiencies and provides self-directed individual investors with a framework for incorporating the results of this research into their own investment processes. Edited by Len Zacks, CEO of Zacks Investment Research, and written by leading professors who have performed groundbreaking research on specific anomalies, this book succinctly summarizes the most important anomalies that savvy investors have used for decades to beat the market. Some of the anomalies addressed include the accrual anomaly, net stock anomalies, fundamental anomalies, estimate revisions, changes in and levels of broker recommendations, earnings-per-share surprises, insider trading, price momentum and technical analysis, value and size anomalies, and several seasonal anomalies. This reliable resource also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios. A treasure trove of investment research and wisdom, the book will save you literally thousands of hours by distilling the essence of twenty years of academic research into eleven clear chapters and providing the framework and conviction to develop market-beating strategies. Strips the academic jargon from the research and highlights the actual returns generated by the anomalies, and documented in the academic literature Provides a theoretical framework within which to understand the concepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field of investing As the founder of Zacks Investment Research, Len Zacks pioneered the concept of the earnings-per-share surprise in 1982 and developed the Zacks Rank, one of the first anomaly-based stock selection tools. Today, his firm manages U.S. equities for individual and institutional investors and provides investment software and investment data to all types of investors. Now, with his new book, he shows you what it takes to build a quant process to outperform an index based on academically documented market inefficiencies and anomalies.

A leading pioneer in the field offers practical applications of this innovative science. Peters describes complex concepts in an easy-to-follow manner for the non-mathematician. He uses fractals, rescaled range analysis and nonlinear dynamical models to explain behavior and understand price movements. These are specific tools employed by chaos scientists to map and measure physical and now, economic phenomena.