The investing strategy that famously generates higher returns with substantially reduced risk--presented by the investor who invented it "A treasure of well researched momentum-driven investing processes." Gregory L. Morris, Chief Technical Analyst and Chairman, Investment Committee of Stadion Money Management, LLC, and author of Investing with the Trend Dual Momentum Investing details the author’s own momentum investing method that combines U.S. stock, world stock, and aggregate bond indices--a formula proven to dramatically increase profits while lowering risk. Antonacci reveals how momentum investors could have achieved long-run returns nearly twice as high as the stock market over the past 40 years, while avoiding or minimizing bear market losses--and he provides the information and insight investors need to achieve such success going forward. His methodology is designed to pick up on major changes in relative strength and market trend. Gary Antonacci has over 30 years experience as an investment professional focusing on under exploited investment opportunities. In 1990, he founded Portfolio Management Consultants, which advises private and institutional investors on asset allocation, portfolio optimization, and advanced momentum strategies. He writes and runs the popular blog and website optimalmomentum.com. Antonacci earned his MBA at Harvard.

The individual investor's comprehensive guide to momentum investing Quantitative Momentum brings momentum investing out of Wall Street and into the hands of individual investors. In his last book, Quantitative Value, author Wes Gray brought systematic value strategy from the hedge funds to the masses; in this book, he does the same for momentum investing, the system that has been shown to beat the market and regularly enriches the coffers of Wall Street's most sophisticated investors. First, you'll learn what momentum investing is not: it's not 'growth' investing, nor is it an esoteric academic concept. You may have seen it used for asset allocation, but this book details the ways in which momentum stands on its own as a stock selection strategy, and gives you the expert insight you need to make it work for you. You'll dig into its behavioral psychology roots, and discover the key tactics that are bringing both institutional and individual investors flocking into the momentum fold. Systematic investment strategies always seem to look good on paper, but many fall down in practice. Momentum investing is one of the few systematic strategies with legs, withstanding the test of time and the rigor of academic investigation. This book provides invaluable guidance on constructing your own momentum strategy from the ground up. Learn what momentum is and is not Discover how momentum can beat the market Take momentum beyond asset allocation into stock selection Access the tools that ease DIY implementation The large Wall Street hedge funds tend to portray themselves as the sophisticated elite, but momentum investing allows you to 'borrow' one of their top strategies to enrich your own portfolio. Quantitative Momentum is the individual investor's guide to boosting market success with a robust momentum strategy.

Investing with the Trend provides an abundance of evidence for adapting a rules-based approach to investing by offering something most avoid, and that is to answer the “why” one would do it this way. It explains the need to try to participate in the good markets and avoid the bad markets, with cash being considered an asset class. The book is in three primary sections and tries to leave no stone unturned in offering almost 40 years of experience in the markets. Part I – The focus is on much of the misinformation in modern finance, the inappropriate use of Gaussian statistics, the faulty assumptions with Modern Portfolio Theory, and a host of other examples. The author attempts to explain each and offer justification for his often strong opinions. Part II – After a lead chapter on the merits of technical analysis, the author offers detailed research into trend analysis, showing how to identify if a market is trending or not and how to measure it. Further research involves the concept of Drawdown, which the author adamantly states is a better measure of investor risk than the oft used and terribly wrong use of volatility as determined by standard deviation. Part III – This is where he puts it all together and shows the reader all of the steps and details on how to create a rules-based trend following investment strategy. A solid disciplined strategy consists of three parts, a measure of what the market is actually doing, a set of rules and guidelines to tell you how to invest based upon that measurement, and the discipline to follow the strategy

From the New York Times bestselling author of the book named the best investment book of 2017 comes The Behavioral Investor, an applied look at how psychology ought to inform the art and science of investment management. In The Behavioral Investor, psychologist and asset manager Dr. Daniel Crosby examines the sociological, neurological and psychological factors that influence our investment decisions and sets forth practical solutions for improving both returns and behavior. Readers will be treated to the most comprehensive examination of investor behavior to date and will leave with concrete solutions for refining decision-making processes, increasing self-awareness and constraining the fatal flaws to which most investors are prone. The Behavioral Investor takes a sweeping tour of human nature before arriving at the specifics of portfolio construction, rooted in the belief that it is only as we come to a deep understanding of “why” that we are left with any clue as to “how” we ought to invest. The book is comprised of three parts, which are as follows: - Part One – An explication of the sociological, neurological and physiological impediments to sound investment decision-making. Readers will leave with an improved understanding of how externalities impact choices in nearly imperceptible ways and begin to understand the impact of these pressures on investment selection. - Part Two – Coverage of the four primary psychological tendencies that impact investment behavior. Although human behavior is undoubtedly complex, in an investment context our choices are largely driven by one of the four factors discussed herein. Readers will emerge with an improved understanding of their own behavior, increased humility and a lens through which to vet decisions of all types. - Part Three – Illuminates the “so what” of Parts One and Two and provides a framework for managing wealth in a manner consistent with the realities of our contextual and behavioral shortcomings. Readers will leave with a deeper understanding of the psychological underpinnings of popular investment approaches such as value and momentum and appreciate why all types of successful investing have psychology at their core. Wealth, truly considered, has at least as much to do with psychological as financial wellbeing. The Behavioral Investoraims to enrich readers in the most holistic sense of the word, leaving them with tools for compounding both wealth and knowledge.

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.

This book brings simplicity to passive investing, smart beta, and factor investing, which is the fastest growing type of investment in the asset management industry. The subject has a strong academic foundation but often taught and presented in a quite complex and unorganized way. In recent years, index and factor investing solutions have been bestsellers. But factor investing success is not a foregone conclusion, and there are plenty of quirks and misprints in the literature. Do investors need a novel approach? The book provides answers to some of these questions in an open and objective fashion. Index fund management is increasingly taught in finance courses at universities. For market practitioners including trustees and investors, this book facilitates an increased understanding of how to invest in index and smart beta strategies, how to implement them, and what to be aware of with concrete and practical real-world examples.