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Jurczenko, Emmanuel

Multi-moment Asset Allocation and Pricing Models

Jurczenko, Emmanuel - Multi-moment Asset Allocation and Pricing Models, ebook

118,80€

Ebook, PDF with Adobe DRM
ISBN: 9780470057995
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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.

Keywords: BUSINESS & ECONOMICS / Finance BUS027000

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2007
Language
en
Edition
1
Series
The Wiley Finance Series
Page amount
258 pages
Category
Economy
Format
Ebook
eISBN (PDF)
9780470057995
Printed ISBN
9780470034156

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