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.

The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.

The Handbook of Advances in Trust Research represents new and important developments in trust research. The contributors are all prominent and highly respected experts in the field. They provide a contemporary overview of the most crucial issues in cur

The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

"The Zacks Handbook of Investment Anomalies will be the definitive work that presents and updates academic and practitioner research on market inefficiencies that can be translated into effective investment strategies. Edited by Len Zacks, a CEO of Zacks Investment Research, the book will explore earnings revisions and surprises; trading by company insiders; stock price momentum patterns; low price-earnings ratios; sector characteristics; seasonal patterns and other areas or market inefficiencies. The goal will be to present historical research on definable situations where particular stocks outperform the overall market. The insights from the research can then be utilized to construct a market-beating strategy going forward. While many of the chapters will be written by academics, an effort will be made to make the articles engaging and interesting to investment practitioners. The initial table of contents might be something like: Theoretical Framework within which to discuss market inefficiencies -- EPS Surprises- trading around EPS announcement dates -- Estimate Revisions - the oldest anomaly -- Insider Trading - it works if you clean the data -- Balance Sheet Accruals - longer term profits -- Price Momentum - 50 ways to measure it, do any work? -- Low PE - when, why, and does it work -- Best Anomalies in each Sector - what works in each Sector -- Academically sound Technical Analysis - it's a new world -- Calendar based anomalies - do they exist, can you make money using them -- Anomalies in Non US Markets (1 to 10 outside the US) -- Selecting Mutual Funds -can you predict manager performance -- High Frequency trading anomalies - got a second?"--Provided by publisher.

The first definitive guide to understanding and profiting from the relationship between the stock market and interest rates It's well established that interest rates significantly impact the stock market. This is the first book that definitively explores the interest rate/stock market relationship and describes a specific system for profiting from the relationship. Timing the Market provides an historically proven system, rooted in fundamental economics, that allows investors and traders to forecast the stock market using data from the interest rate markets-together with supporting market sentiment and cultural indicators-to pinpoint and profit from major turns in the stock market. Deborah Weir (Greenwich, CT) is President of Wealth Strategies, a firm that does marketing for traditional money managers and hedge funds. She is a Chartered Financial Analyst and is the first woman president of the Stamford CFA Society.

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.