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Stochastic Dominance : Investment Decision Making Under Uncertainty by Haim Levy (auth.) is a nonfiction available to read on EtoBox.

What is Stochastic Dominance : Investment Decision Making Under Uncertainty about?

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, 3^rd^ 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, cumul

Who reads Stochastic Dominance : Investment Decision Making Under Uncertainty?

Author

Haim Levy (auth.)

Publisher

Springer International Publishing : Imprint: Springer

Published

2016

Language

EN

ISBN

9783319217079

Category

nonfiction

Subjects

Mathematics, Business, Finance