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In distilling a vast literature spanning the rational— irrational divide, this paper offers reflections on why asset bubbles continue to threaten economic stability despite financial markets becoming more informationally-efficient, more complete, and more heavily influenced by sophisticated (i.e. presumably rational) institutional investors. Candidate explanations for bubble persistence—such as limits to learning, frictional limits to arbitrage, and behavioral errors—seem unsatisfactory as they are inconsistent with the aforementioned trends impacting global capital markets. In lieu of the short-term nature of the asset owner—manager relationship, and the momentum bias inherent in financial benchmarks, I argue that the business risk of asset managers acts as strong motivation for institutional herding and ‘rational bubble-riding.’ Two key policy implications follow. First, procyclicality could intensify as institutional assets under management continue to grow. Second, remedial policies should extend beyond the standard suite of macroprudential and monetary measures to include time-invariant policies targeted at the cause (not just symptom) of the problem. Prominent among these should be reforms addressing principal-agent contract design and the implementation of financial benchmarks.
The question of whether central banks should target stock prices so as to prevent bubbles and crashes from occurring has been hotly debated. This paper analyses this question using a behavioural macroeconomic model. This model generates bubbles and crashes. It analyses how 'leaning against the wind' strategies, which aim to reduce the volatility of stock prices, can help in reducing volatility of output and inflation. We find that such policies can be effective in reducing macroeconomic volatility, thereby improving the trade-off between output and inflation variability. The strength of this result, however, depends on the degree of credibility of the inflation-targeting regime. In the absence of such credibility, policies aiming at stabilising stock prices do not stabilise output and inflation.
Macroeconomics increasingly uses stochastic dynamic general equilibrium models to understand theoretical and policy issues. Unless very strong assumptions are made, understanding the properties of particular models requires solving the model using a computer. This volume brings together leading contributors in the field who explain in detail how to implement the computational techniques needed to solve dynamic economics models. A broad spread of techniques are covered, and their application in a wide range of subjects discussed. The book provides the basics of a toolkit which researchers and graduate students can use to solve and analyse their own theoretical models.
A clear new finance textbook that explains essential models and practices, and how the financial world works now Contemporary Financial Markets and Institutions: Tools and Techniques to Manage Risk and Uncertainty is an ideal introduction to finance for professionals and students. It covers the basic finance theory required to understand the contemporary financial world and builds on it to present finance in a detailed yet comprehensible way. It explains markets and institutions, and the central bank and government policies that influence how they operate. The book begins with an overview of basic finance theory, including investments, asset return behavior, derivatives pricing, and credit risk. It discusses topics that have dominated markets in recent decades, such as extreme events, liquidity, currency and debt crises, and radical changes in monetary policy and regulation. The concepts are presented alongside examples, strange market episodes, and data from recent experience. Contemporary Financial Markets and Institutions covers advanced credit topics like securitization in a straightforward, succinct way, without advanced mathematics, but with detailed examples using real market data. It integrates financial and macroeconomic content seamlessly. The book is suitable for use by undergraduate and graduate students, and by practitioners of all backgrounds. Abundant pedagogical resources in the book and online facilitate teaching. This book will help students and practioners: Learn the basic concepts and models in finance, including investment, asset pricing, uncertainty and risk, monetary policy and the regulatory system Explore recent developments, from the expansion of central banks to the chaos in commercial banking to changes in financial technology, that are dominating markets worldwide Gain knowledge of risk types, models, and measurement methods, and the impact of regulation Prepare yourself for a successful career in finance, or update your existing knowledge base with this comprehensive reference guide Ideal as a sole or supplementary textbook for beginning and advanced finance courses, as well as for practitioners in finance-related fields, this book takes a unique, market-focused approach that will serve readers well in our turbulent and puzzling times.
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 radical transformations to which the economy and society have been subjected for decades have gained momentum in recent years, not least because of the coronavirus pandemic, the consequences of which are yet to be fully understood. As a result, certain economic models and business practices are becoming less sustainable. One of the reasons for this is the rapid advance of Revolution 4.0. The issues raised in this book are central to understanding the theoretical and practical aspects of the Fourth Industrial Revolution and its overwhelming impact on emerging socio-economic relations. The book addresses the future and flexibility of the labour market in the era of digital transformation; issues related to the emergence of new patterns of production and the distribution of public services. It examines the impact of Revolution 4.0 on the global business services sector and business project management models, in times of increasing complexity. The book covers a broad spectrum of concerns associated with Industry 4.0, such as social, economic, technological, and environmental, making it a comprehensive resource offering state-of-the-art knowledge. Further, it includes a discussion on the perspectives for the development of Revolution 4.0 in the context of the post-pandemic world. This book skillfully combines theoretical considerations with practical applications, offering a valuable, engaging and accessible resource for researchers, scholars, students, policymakers, public decision-makers, and businesspeople alike.
Arbitrage, State Prices and Portfolio Theory / Philip h. Dybvig and Stephen a. Ross / - Intertemporal Asset Pricing Theory / Darrell Duffle / - Tests of Multifactor Pricing Models, Volatility Bounds and Portfolio Performance / Wayne E. Ferson / - Consumption-Based Asset Pricing / John y Campbell / - The Equity Premium in Retrospect / Rainish Mehra and Edward c. Prescott / - Anomalies and Market Efficiency / William Schwert / - Are Financial Assets Priced Locally or Globally? / G. Andrew Karolyi and Rene M. Stuli / - Microstructure and Asset Pricing / David Easley and Maureen O'hara / - A Survey of Behavioral Finance / Nicholas Barberis and Richard Thaler / - Derivatives / Robert E. Whaley / - Fixed-Income Pricing / Qiang Dai and Kenneth J. Singleton.
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.