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.

As stock prices and investor confidence have collapsed in the wake of Enron, WorldCom, and the dot-com crash, people want to know how this happened and how to make sense of the uncertain times to come. Into the breach comes one of Wall Street's legendary investors, Leon Levy, to explain why the market so often confounds us, and why those who ought to understand it tend to get chewed up and spat out. Levy, who pioneered many of the innovations and investment instruments that we now take for granted, has prospered in every market for the past fifty years, particularly in today's bear market. In The Mind of Wall Street he recounts stories of his successes and failures to illustrate how investor psychology and willful self-deception so often play critical roles in the process. Like his peers George Soros and Warren Buffett, Levy takes a long and broad view of the rhythms of the markets and the economy. He also offers a provocative analysis of the spectacular Internet bubble, showing that the market has not yet completely recovered from its bout of "irrational exuberance." The Mind of Wall Street is essential reading for all of us, whether we are active traders or simply modest contributors to our 401(k) plans, as volatile and unnerving markets come to define so much of our net worth.

This book is a study of earnings management, aimed at scholars and professionals in accounting, finance, economics, and law. The authors address research questions including: Why are earnings so important that firms feel compelled to manipulate them? What set of circumstances will induce earnings management? How will the interaction among management, boards of directors, investors, employees, suppliers, customers and regulators affect earnings management? How to design empirical research addressing earnings management? What are the limitations and strengths of current empirical models?