Dynamic Conditional Beta is Alive and Well in the Cross-Section of Daily Stock Returns PDF Download
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Author: Turan G. Bali
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
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Book Description
This paper presents evidence for a significantly positive link between the dynamic conditional beta and the cross-section of daily stock returns. An investment strategy that takes a long position in stocks in the highest conditional beta decile and a short position in stocks in the lowest conditional beta decile produces average returns and alphas in the range of 0.60% to 0.80% per month. We provide an investor attention based explanation of this finding. We show that stocks with high conditional beta have strong attention-grabbing characteristics, leading to higher fraction of buyer-initiated trades for these stocks. We also find that stocks recently bought perform significantly better than stocks recently sold. Hence, the high beta stocks that investors are more likely to buy have higher expected returns than the low beta stocks that investors are more likely to sell.
Author: Turan G. Bali
Publisher:
ISBN:
Category :
Languages : en
Pages : 56
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Book Description
This paper presents evidence for a significantly positive link between the dynamic conditional beta and the cross-section of daily stock returns. An investment strategy that takes a long position in stocks in the highest conditional beta decile and a short position in stocks in the lowest conditional beta decile produces average returns and alphas in the range of 0.60% to 0.80% per month. We provide an investor attention based explanation of this finding. We show that stocks with high conditional beta have strong attention-grabbing characteristics, leading to higher fraction of buyer-initiated trades for these stocks. We also find that stocks recently bought perform significantly better than stocks recently sold. Hence, the high beta stocks that investors are more likely to buy have higher expected returns than the low beta stocks that investors are more likely to sell.
Author: Christos Floros
Publisher: Springer Nature
ISBN: 3030929574
Category : Business & Economics
Languages : en
Pages : 293
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Book Description
This textbook investigates the linkages between energy-commodities markets, financial markets and the economy and incorporates different aspects of the energy market, organizing the relevant material in two distinct parts. Part one includes studies that relate to the impact of developments in the various energy-commodities markets (e.g., oil, gas) both on financial markets and economic growth, including studies that consider the impact of energy prices on financial markets or the effect on specific macroeconomic variables, such as interest rates, inflation, GDP. Part two discusses developments in the energy market from a climate change or green financing point of view, further considering issues that relate to climate finance, green investing, as well as policy making relating to GHG Emissions. By introducing a multitude of topics in energy finance, this textbook provides a holistic view of the market and its importance
Author: Marc S. Paolella
Publisher: John Wiley & Sons
ISBN: 1119431905
Category : Mathematics
Languages : en
Pages : 896
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Book Description
A comprehensive and timely edition on an emerging new trend in time series Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH sets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series analysis (ARMAX and GARCH), and some multivariate models associated primarily with modeling financial asset returns (copula-based structures and the discrete mixed normal and Laplace). It builds on the author's previous book, Fundamental Statistical Inference: A Computational Approach, which introduced the major concepts of statistical inference. Attention is explicitly paid to application and numeric computation, with examples of Matlab code throughout. The code offers a framework for discussion and illustration of numerics, and shows the mapping from theory to computation. The topic of time series analysis is on firm footing, with numerous textbooks and research journals dedicated to it. With respect to the subject/technology, many chapters in Linear Models and Time-Series Analysis cover firmly entrenched topics (regression and ARMA). Several others are dedicated to very modern methods, as used in empirical finance, asset pricing, risk management, and portfolio optimization, in order to address the severe change in performance of many pension funds, and changes in how fund managers work. Covers traditional time series analysis with new guidelines Provides access to cutting edge topics that are at the forefront of financial econometrics and industry Includes latest developments and topics such as financial returns data, notably also in a multivariate context Written by a leading expert in time series analysis Extensively classroom tested Includes a tutorial on SAS Supplemented with a companion website containing numerous Matlab programs Solutions to most exercises are provided in the book Linear Models and Time-Series Analysis: Regression, ANOVA, ARMA and GARCH is suitable for advanced masters students in statistics and quantitative finance, as well as doctoral students in economics and finance. It is also useful for quantitative financial practitioners in large financial institutions and smaller finance outlets.
Author: James W. Kolari
Publisher: Springer Nature
ISBN: 3030651975
Category : Business & Economics
Languages : en
Pages : 326
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Book Description
This book proposes a new capital asset pricing model dubbed the ZCAPM that outperforms other popular models in empirical tests using US stock returns. The ZCAPM is derived from Fischer Black’s well-known zero-beta CAPM, itself a more general form of the famous capital asset pricing model (CAPM) by 1990 Nobel Laureate William Sharpe and others. It is widely accepted that the CAPM has failed in its theoretical relation between market beta risk and average stock returns, as numerous studies have shown that it does not work in the real world with empirical stock return data. The upshot of the CAPM’s failure is that many new factors have been proposed by researchers. However, the number of factors proposed by authors has steadily increased into the hundreds over the past three decades. This new ZCAPM is a path-breaking asset pricing model that is shown to outperform popular models currently in practice in finance across different test assets and time periods. Since asset pricing is central to the field of finance, it can be broadly employed across many areas, including investment analysis, cost of equity analyses, valuation, corporate decision making, pension portfolio management, etc. The ZCAPM represents a revolution in finance that proves the CAPM as conceived by Sharpe and others is alive and well in a new form, and will certainly be of interest to academics, researchers, students, and professionals of finance, investing, and economics.
Author: Le Thanh Tung
Publisher: Springer Nature
ISBN: 9819754526
Category :
Languages : en
Pages : 313
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Book Description
Author:
Publisher: BoD – Books on Demand
ISBN: 1837681988
Category : Business & Economics
Languages : en
Pages : 158
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Book Description
Investment strategies relate to an extensive range of aspects and have attracted the attention of investors and students, academics, researchers, financial executives, portfolio managers, security analysts, financial engineers, practitioners, including at the level of Nobel prizes (Tobin, 1981, for the analysis of financial markets; Markowitz, Sharpe, 1990, for modern portfolio models; Black, Scholes, Merton, 1997, for option pricing; Akerlof, Stiglitz, Spence, 2001, for markets with asymmetric information). Even common people talk daily about investments, investment tactics and strategies, and how to obtain success. In the absence of an investment philosophy, they try to copy celebrities or professional advisors without understanding the mechanics of markets, their core beliefs, strengths, or weaknesses. Beyond the traditional stocks and bonds, there are many other types of assets and alternative investments, and investors are overwhelmed by the huge number of portfolio architecture and management options. Regardless of the types of investors, portfolios are no longer a simple list of assets, and their management requires impressive skills. Decision models have significantly evolved from the Markowitz portfolio model toward capital market paradigms in the context of managing unrealistic assumptions or adding the treatment of market imperfections, multiperiod objectives, and transaction costs. The index of portfolio risk provides an intuitive image of diversification. There is an interest in the integration of new visions in investment strategies: determinism, complexity, nonlinearity, self-organization and chaos, trading rules, evolutionary games, real-options games and artificial markets, bounded rationality, heterogeneous agents, and behavioral investments. From the evolutionary perspective, investors interpret information by encoding and categorization, trying to simplify the strategies by using rules of thumb and heuristics. The present work contributes to the understanding of current investment processes by offering the tactical and strategic elements specific to global markets as well as emerging ones in a multilayer approach useful to decision-makers, investors, students, and researchers in the field.
Author: Shannon P. Pratt
Publisher: John Wiley & Sons
ISBN: 1118555805
Category : Business & Economics
Languages : en
Pages : 1344
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Book Description
A one-stop shop for background and current thinking on the development and uses of rates of return on capital Completely revised for this highly anticipated fifth edition, Cost of Capital contains expanded materials on estimating the basic building blocks of the cost of equity capital, the risk-free rate, and equity risk premium. There is also discussion of the volatility created by the financial crisis in 2008, the subsequent recession and uncertain recovery, and how those events have fundamentally changed how we need to interpret the inputs to the models we use to develop these estimates. The book includes new case studies providing comprehensive discussion of cost of capital estimates for valuing a business and damages calculations for small and medium-sized businesses, cross-referenced to the chapters covering the theory and data. Addresses equity risk premium and the risk-free rate, including the impact of Federal Reserve actions Explores how to use Morningstar's Ibbotson and Duff Phelps Risk Premium Report data Discusses the global cost of capital estimation, including a new size study of European countries Cost of Capital, Fifth Edition puts an emphasis on practical application. To that end, this updated edition provides readers with exclusive access to a companion website filled with supplementary materials, allowing you to continue to learn in a hands-on fashion long after closing the book.
Author: Lei Xu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Turan G. Bali
Publisher: John Wiley & Sons
ISBN: 1118589475
Category : Business & Economics
Languages : en
Pages : 512
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Book Description
“Bali, Engle, and Murray have produced a highly accessible introduction to the techniques and evidence of modern empirical asset pricing. This book should be read and absorbed by every serious student of the field, academic and professional.” Eugene Fama, Robert R. McCormick Distinguished Service Professor of Finance, University of Chicago and 2013 Nobel Laureate in Economic Sciences “The empirical analysis of the cross-section of stock returns is a monumental achievement of half a century of finance research. Both the established facts and the methods used to discover them have subtle complexities that can mislead casual observers and novice researchers. Bali, Engle, and Murray’s clear and careful guide to these issues provides a firm foundation for future discoveries.” John Campbell, Morton L. and Carole S. Olshan Professor of Economics, Harvard University “Bali, Engle, and Murray provide clear and accessible descriptions of many of the most important empirical techniques and results in asset pricing.” Kenneth R. French, Roth Family Distinguished Professor of Finance, Tuck School of Business, Dartmouth College “This exciting new book presents a thorough review of what we know about the cross-section of stock returns. Given its comprehensive nature, systematic approach, and easy-to-understand language, the book is a valuable resource for any introductory PhD class in empirical asset pricing.” Lubos Pastor, Charles P. McQuaid Professor of Finance, University of Chicago Empirical Asset Pricing: The Cross Section of Stock Returns is a comprehensive overview of the most important findings of empirical asset pricing research. The book begins with thorough expositions of the most prevalent econometric techniques with in-depth discussions of the implementation and interpretation of results illustrated through detailed examples. The second half of the book applies these techniques to demonstrate the most salient patterns observed in stock returns. The phenomena documented form the basis for a range of investment strategies as well as the foundations of contemporary empirical asset pricing research. Empirical Asset Pricing: The Cross Section of Stock Returns also includes: Discussions on the driving forces behind the patterns observed in the stock market An extensive set of results that serve as a reference for practitioners and academics alike Numerous references to both contemporary and foundational research articles Empirical Asset Pricing: The Cross Section of Stock Returns is an ideal textbook for graduate-level courses in asset pricing and portfolio management. The book is also an indispensable reference for researchers and practitioners in finance and economics. Turan G. Bali, PhD, is the Robert Parker Chair Professor of Finance in the McDonough School of Business at Georgetown University. The recipient of the 2014 Jack Treynor prize, he is the coauthor of Mathematical Methods for Finance: Tools for Asset and Risk Management, also published by Wiley. Robert F. Engle, PhD, is the Michael Armellino Professor of Finance in the Stern School of Business at New York University. He is the 2003 Nobel Laureate in Economic Sciences, Director of the New York University Stern Volatility Institute, and co-founding President of the Society for Financial Econometrics. Scott Murray, PhD, is an Assistant Professor in the Department of Finance in the J. Mack Robinson College of Business at Georgia State University. He is the recipient of the 2014 Jack Treynor prize.
Author: Robert Engle
Publisher: Princeton University Press
ISBN: 1400830192
Category : Business & Economics
Languages : en
Pages : 176
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Book Description
Financial markets respond to information virtually instantaneously. Each new piece of information influences the prices of assets and their correlations with each other, and as the system rapidly changes, so too do correlation forecasts. This fast-evolving environment presents econometricians with the challenge of forecasting dynamic correlations, which are essential inputs to risk measurement, portfolio allocation, derivative pricing, and many other critical financial activities. In Anticipating Correlations, Nobel Prize-winning economist Robert Engle introduces an important new method for estimating correlations for large systems of assets: Dynamic Conditional Correlation (DCC). Engle demonstrates the role of correlations in financial decision making, and addresses the economic underpinnings and theoretical properties of correlations and their relation to other measures of dependence. He compares DCC with other correlation estimators such as historical correlation, exponential smoothing, and multivariate GARCH, and he presents a range of important applications of DCC. Engle presents the asymmetric model and illustrates it using a multicountry equity and bond return model. He introduces the new FACTOR DCC model that blends factor models with the DCC to produce a model with the best features of both, and illustrates it using an array of U.S. large-cap equities. Engle shows how overinvestment in collateralized debt obligations, or CDOs, lies at the heart of the subprime mortgage crisis--and how the correlation models in this book could have foreseen the risks. A technical chapter of econometric results also is included. Based on the Econometric and Tinbergen Institutes Lectures, Anticipating Correlations puts powerful new forecasting tools into the hands of researchers, financial analysts, risk managers, derivative quants, and graduate students.
