Multi-moment Asset Allocation and Pricing Models

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9780470034156: Multi-moment Asset Allocation and Pricing Models

While mainstream financial theories and applications assume that asset returns are normally distributed and individual preferences are quadratic, the overwhelming empirical evidence shows otherwise. Indeed, most of the asset returns exhibit “fat-tails” distributions and investors exhibit asymmetric preferences. These empirical findings lead to the development of a new area of research dedicated to the introduction of higher order moments in portfolio theory and asset pricing models.

Multi-moment asset pricing is a revolutionary new way of modeling time series in finance which allows various degrees of long-term memory to be generated. It allows risk and prices of risk to vary through time enabling the accurate valuation of long-lived assets.

This book presents the state-of-the art in multi-moment asset allocation and pricing models and provides many new developments in a single volume, collecting in a unified framework theoretical results and applications previously scattered throughout the financial literature. The topics covered in this comprehensive volume include: four-moment individual risk preferences, mathematics of the multi-moment efficient frontier, coherent asymmetric risks measures, hedge funds asset allocation under higher moments, time-varying specifications of (co)moments and multi-moment asset pricing models with homogeneous and heterogeneous agents.

Written by leading academics, Multi-moment Asset Allocation and Pricing Models offers a unique opportunity to explore the latest findings in this new field of research.

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From the Back Cover:

When I developed the first multi-moment CAPM as the lead paper in my dissertation in 1970, I had high hopes that this would lead to significant improvements in asset pricing. I felt intuitively that at least the skewness and kurtosis of portfolio returns would matter to investors. Skewness preference captures asymmetric concern over downside outcomes and kurtosis captures the implications of extreme rare events, that are more numerous than indicated by normal distributions. Unfortunately, very little interest was shown in the multi-moment model for the next 30 years. Indeed, in prominent reviews of the CAPM, the generalization to many moments was rarely even mentioned. Then, the apparent empirical failure of the two-moment CAPM and the publication of several recent articles that take higher-order moments seriously, and now even a full book just devoted to the subject, have given new life to these ideas.” —Mark Rubinstein, Paul Stephens Professor of Applied Investment Analysis, UC Berkeley, USA

In a less well-known part of his path-breaking 1952 article on ‘Portfolio Selection’, Harry Markowitz details the conditions whereby mean-variance efficient portfolios will not be optimal. Markowitz argues that if investors have utility which depends on not only mean and variance but also skewness, then this could lead to a different set of optimal portfolios. This insight lay fallow for more than 20 years. It was revived in the important work of Mark Rubinstein in 1973. Since the late 1990s, we have seen an explosion of research on higher moments. People are beginning to think of the efficient frontier – as the efficient surface (incorporating skewness and other higher moments). This interest is sparked by five factors. First, it is obvious that people have a preference for positively skewed outcomes rather than negatively skewed returns (holding mean and variance constant). Second, most asset returns are non-normal. Third, it is widely acknowledged that two-moment CAPM has trouble fitting the data. Fourth, there is a large growth in a style of investing, sometimes referred to as alternatives, whose expected returns have option-like, non-normal features. Finally, computing power has advanced to such a degree that we can feasibly tackle the difficult problem of solving for optimal portfolios in the presence of higher moments. The time is right for a book on higher moments in asset pricing - and this is the right book.” —Campbell R. Harvey, J. Paul Sticht Professor of International Business, Duke University, USA

Plenty of evidence has emerged in the financial literature that the distributional assumptions underlying mean-variance analysis do not hold. Returns on many individual assets as well as returns on actively managed mutual funds have been found to be skewed and fat-tailed and are affected by occasional outliers. Unless investors have quadratic preferences, in equilibrium an asset's skew and kurtosis should generally be priced. The focus of the traditional CAPM on the first two moments was made out of analytical convenience, but we now have better tools to go beyond this analysis. The time is right for a book on the multi-moment CAPM and its related topics.” —Allan Timmermann, Professor of Economics, University of California at San Diego, USA

About the Author:

EMMANUEL F. JURCZENKO is an Associate Professor in Finance at the ESCP-EAP and a Head of Quantitative Analysts within AAAdvisors-QCG (ABN Amro Group) and Variances. He is graduated in Economics and in Finance, and holds a PhD in Economics (Multi-moment Asset Pricing Models) from the University of Paris-1 (Panthéon-Sorbonne). He gained market experience for several years as a Quantitative Analyst within a subsidiary of ABN Amro dedicated to funds of funds. He is appointed as an Associate Professor of Finance at the ESCP-EAP European School of Management since 2000 where he teaches Portfolio Management, Financial Mathematics, Options and Other Derivatives, and Corporate Finance. His centre of interests mainly concerns Portfolio Management, Asset pricing and Applications of Statistics in Finance. He is also associate researcher at CES/CNRS (Center for National Research) at the University of Paris-1.

BERTRAND B. MAILLET is CEO and Head of Research within AAAdvisors-QCG (ABN Amro Group) and Variances, and Lecturer in Economics at the University of Paris-1. He is graduated in Economics, in Finance and in Statistics, and holds a PhD in Economics (Market Efficiency and Performance Measurements) from the University of Paris-1 (Panthéon-Sorbonne). After being qualified as a Lecturer in Economics in the same university in 1997 (lectures in Financial Econometrics, International Finance and Microeconomics), and appointed as Professor of Finance at the ESCP-EAP European School of Management (lectures in Risk and Portfolio Management), he developed consulting activities in various financial institutions, before joining the ABN Amro Group as a Head of Research in a multi-fund activity. His domain of expertise covers risk management, performance measurement, portfolio management and asset pricing. He has published several articles in academic journals such as Quantitative Finance, Review of International Economics and The European Journal of Finance, chapters in books edited by John Wiley, Springer and Kluwer Academics, and serves as a referee in several international leading journals. He is also currently associate researcher at CES/CNRS (Center for National Research) at the University of Paris-1 and at the Financial Markets Group of the London School of Economics.

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Jurczenko, Emmanuel/ Maillet, Bertrand
Published by John Wiley & Sons Inc (2006)
ISBN 10: 0470034157 ISBN 13: 9780470034156
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Book Description John Wiley & Sons Inc, 2006. Hardcover. Book Condition: Brand New. 1st edition. 233 pages. 9.75x6.75x0.75 inches. In Stock. Bookseller Inventory # zk0470034157

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