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Tractable Almost Stochastic Dominance
European Journal of Operational Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lizyayev, Andrey, Ruszczyński, Andrzej
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An improved criterion for almost marginal conditional stochastic dominance
Review of Quantitative Finance and AccountingWei-Han Liu, Jow-Ran Chang, Guo-Jun Yang
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Revisiting Almost Second-Degree Stochastic Dominance
Management Science, 2013Leshno and Levy [Leshno M, Levy H (2002) Preferred by “all” and preferred by “most” decision makers: Almost stochastic dominance. Management Sci. 48(8):1074–1085] established almost stochastic dominance to reveal preferences for most rather than all decision makers with an increasing and concave utility function.
Larry Y. Tzeng +2 more
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Make Almost Stochastic Dominance really Almost [PDF]
Leshno and Levy (2002) extend stochastic dominance (SD) theory to almost stochastic dominance (ASD) for {\it most} decision makers. When comparing any two prospects, Guo, et al.\ (2013) find that there will be ASD relationship even there is only very little difference in mean, variance, skewness, or kurtosis.
Guo, Xu, Wong, Wing-Keung, Zhu, Lixing
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Almost Stochastic Dominance and Moments [PDF]
This paper first extends the theory of almost stochastic dominance (ASD) to the first four orders. We then establish some equivalent relationships for the first four orders of the ASD. Using these results, we prove formally that the ASD definition modified by Tzeng et al.\ (2012) does not possess any hierarchy property.
Guo, Xu, Wong, Wing-Keung, Zhu, Lixing
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Almost Stochastic Dominance: A Penchant for Risk
SSRN Electronic Journal, 2008This paper shows that the Almost Stochastic Dominance (ASD) decision rule overlooks the effect of leverage on the variance of portfolio returns. If a portfolio dominates another by ASD then that portfolio bought with any amount of leverage will also be dominant by ASD.
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Preferred by “All” and Preferred by “Most” Decision Makers: Almost Stochastic Dominance
Management Science, 2002While “most” decision makers may prefer one uncertain prospect over another, stochastic dominance rules as well as other investment criteria, will not reveal this preference due to some extreme utility functions in the case of even a very small violation of these rules.
Moshe Leshno, Haim Levy
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Almost Stochastic Dominance and stocks for the long run
European Journal of Operational Research, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
Neural Information Processing SystemsStochastic dominance is an important concept in probability theory, econometrics and social choice theory for robustly modeling agents' preferences between random outcomes. While many works have been dedicated to the univariate case, little has been done
Gabriel Rioux +4 more
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Almost Stochastic Dominance for Risk-Averse and Risk-Seeking Investors [PDF]
In this paper we first develop a theory of almost stochastic dominance for risk-seeking investors to the first three orders. Thereafter, we study the relationship between the preferences of almost stochastic dominance for risk-seekers with that for risk averters.
Xu, Guo, Wing-Keung, Wong, Lixing, Zhu
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