Economic Fundamentals, Risk, and Momentum Profits


Book Description

We study empirically the changes in economic fundamentals for firms with recent stock price momentum. We find that: (i) winners have temporarily higher dividend, investment, and sales growth rates, and losers have temporarily lower dividend, investment, and sales growth rates; (ii) the duration of the growth rate dispersion matches approximately that of the momentum profits; (iii) past returns are strong, positive predictors of future growth rates; and (iv) factor-mimicking portfolios on expected growth rates earn significantly positive returns on average. This evidence is consistent with the theoretical predictions of Johnson (2002), in which momentum returns reflect compensation for temporary shifts in risk associated with expected growth. Additional tests do not provide much support for a risk-based explanation, however.




Momentum Profits, Non-Normality Risks and the Business Cycle


Book Description

The paper examines the role of non-normality risks in explaining the momentum puzzle of equity returns. It shows that momentum profits are not normally distributed and, relatedly, that the momentum profitability is partly a compensation for systematic negative skewness risk in line with market efficiency. This finding is pervasive across nine trading strategies that combine different holding and ranking periods and is reinforced when time dependencies in abnormal returns and risks are explicitly modeled. The analysis also reveals that the market and skewness risks of momentum portfolios evolve over the business cycle in a manner that is consistent with market timing and risk aversion. While non-normality risks matter, a large proportion of the momentum profits remains unexplained which may provide comfort to behavioural theorists.




Market Momentum


Book Description

A one-of-a-kind reference guide covering the behavioral and statistical explanations for market momentum and the implementation of momentum trading strategies Market Momentum: Theory and Practice is a thorough, how-to reference guide for a full range of financial professionals and students. It examines the behavioral and statistical causes of market momentum while also exploring the practical side of implementing related strategies. The phenomenon of momentum in finance occurs when past high returns are followed by subsequent high returns, and past low returns are followed by subsequent low returns. Market Momentum provides a detailed introduction to the financial topic, while examining existing literature. Recent academic and practitioner research is included, offering a more up-to-date perspective. What type of book is Market Momentum and how does it serve a range of readers’ interests and needs? A holistic market momentum guide for industry professionals, asset managers, risk managers, firm managers, plus hedge fund and commodity trading advisors Advanced text to help graduate students in finance, economics, and mathematics further develop their funds management skills Useful resource for financial practitioners who want to implement momentum trading strategies Reference book providing behavioral and statistical explanations for market momentum Due to claims that the phenomenon of momentum goes against the Efficient Markets Hypothesis, behavioral economists have studied the topic in-depth. However, many books published on the subject are written to provide advice on how to make money. In contrast, Market Momentum offers a comprehensive approach to the topic, which makes it a valuable resource for both investment professionals and higher-level finance students. The contributors address momentum theory and practice, while also offering trading strategies that practitioners can study.




What causes Momentum Returns? Evidence from different Asset Classes


Book Description

Seminar paper from the year 2021 in the subject Business economics - Investment and Finance, grade: 2,0, University of Münster, language: English, abstract: This paper discusses possible asset-specific and cross-asset explanation approaches for momentum appearance. The two main threads in literature, stock momentum and momentum of other assets, are discussed separately and subsequently checked for overlaps. The paper also deals with the definition of momentum as an anomaly itself in context of rational and behavioral concepts. It uncovers selected contrary observations and outlines possible conformities. Capital market anomalies are a phenomenon triggering ongoing debates about the trading behavior of investors on financial markets. They are contradicting the core ideas of the efficient market hypothesis (EMH), which considers financial markets efficient and investors rational and fully informed. One of the EMH key hypotheses, especially supported by Fama and by Samuelson, is the principle of random walk. If this principle holds, the prices of assets on financial markets are only influenced by public and firm-specific news, develop apart from that completely random and are not predictable. However, empirical observations question the random walk principle. They tend to indicate specific patterns in asset price developments instead of complete randomness. Doubts on the EMH and the random walk principle thus cannot be neglected. A common answer to these observations is the existence of additional risk factors which are currently not covered by the applied pricing models. Current asset pricing models mainly rely on Markowitz (1952) and the modern portfolio theory as well as on the Capital Asset Pricing Model (CAPM) from Sharpe (1964), Lintner (1965), and Mossin (1966). These models are rather a benchmark for asset pricing than perfect constructions covering all and any existing risk factors which are relevant for an assets price formation.




Quantitative Momentum


Book Description

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.




Momentum Investing and Business Cycle Risk


Book Description

We examine whether momentum profits globally can be explained by macroeconomic risk and address in part whether momentum returns are consistent with risk-based explanations. Profits to momentum strategies only weakly co-move among 40 countries, whether within regions or across continents. Internationally, momentum profits bear basically no statistically or economically significant relation to the Chen, Roll, and Ross (1986) macroeconomic factors. Performance of a forecasting model based on lagged instrumental variables also indicates that there is no measurable relation between macroeconomic risk and momentum either abroad or in the U.S. Globally, momentum profits are large and statistically reliable in periods of both negative and positive economic growth; these momentum profits reverse over one- to five-year horizons, an action inconsistent with current risk-based explanations.







Financial Markets and the Real Economy


Book Description

Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.




Asset Management


Book Description

Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise. In this book, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent.




Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)


Book Description

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.