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Stochastic Dominance - Investment Decision Making under Uncertainty (Paperback, Softcover reprint of the original 3rd ed. 2016)
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Stochastic Dominance - Investment Decision Making under Uncertainty (Paperback, Softcover reprint of the original 3rd ed. 2016)
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This fully updated third edition is devoted to the analysis of
various Stochastic Dominance (SD) decision rules. It discusses the
pros and cons of each of the alternate SD rules, the application of
these rules to various research areas like statistics, agriculture,
medicine, measuring income inequality and the poverty level in
various countries, and of course, to investment decision-making
under uncertainty. The book features changes and additions to the
various chapters, and also includes two completely new chapters.
One deals with asymptotic SD and the relation between FSD and the
maximum geometric mean (MGM) rule (or the maximum growth
portfolio). The other new chapter discusses bivariate SD rules
where the individual's utility is determined not only by his own
wealth, but also by his standing relative to his peer group.
Stochastic Dominance: Investment Decision Making under Uncertainty,
3rd Ed. covers the following basic issues: the SD approach,
asymptotic SD rules, the mean-variance (MV) approach, as well as
the non-expected utility approach. The non-expected utility
approach focuses on Regret Theory (RT) and mainly on prospect
theory (PT) and its modified version, cumulative prospect theory
(CPT) which assumes S-shape preferences. In addition to these
issues the book suggests a new stochastic dominance rule called the
Markowitz stochastic dominance (MSD) rule corresponding to all
reverse-S-shape preferences. It also discusses the concept of the
multivariate expected utility and analyzed in more detail the
bivariate expected utility case. From the reviews of the second
edition: "This book is an economics book about stochastic
dominance. ... is certainly a valuable reference for graduate
students interested in decision making under uncertainty. It
investigates and compares different approaches and presents many
examples. Moreover, empirical studies and experimental results play
an important role in this book, which makes it interesting to
read." (Nicole Bauerle, Mathematical Reviews, Issue 2007 d)
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