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Article
Data sources: zbMATH Open
Management Science
Article . 1994 . Peer-reviewed
Data sources: Crossref
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Marginal Conditional Stochastic Dominance

Marginal conditional stochastic dominance
Authors: Haim Shalit; Shlomo Yitzhaki;

Marginal Conditional Stochastic Dominance

Abstract

This paper introduces the concept of Marginal Conditional Stochastic Dominance (MCSD), which states the conditions under which all risk-averse individuals, when presented with a given portfolio, prefer to increase the share of one risky asset over that of another. MCSD rules also answer the question of whether all risk-averse individuals include a new asset in their portfolio when assets' returns are correlated. MCSD criteria are expressed in terms of the probability distributions of the assets and of the underlying portfolio. An empirical application of MCSD is provided using stocks traded on the New York Stock Exchange. MCSD rules are used to show that, in the long run, one cannot assert that the market portfolio is inefficient.

Keywords

portfolio diversification, marginal conditional stochastic dominance, market efficiency, MCSD, concentration curves, Finance etc., Decision theory, stocks, stochastic dominance, gini, market efficiency, concentration curves, portfolio diversification, portfolio

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
110
Top 10%
Top 1%
Average
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