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Estimating the Critical Parameter in Almost Stochastic Dominance from Insurance Deductibles

Management Science, 2021
Knowing how small a violation of stochastic dominance rules would be accepted by most individuals is a prerequisite to applying almost stochastic dominance criteria. Unlike previous laboratory-experimental studies, this paper estimates an acceptable violation of stochastic dominance rules with 939,690 real world data observations on a choice of ...
Yi-Chieh Huang   +3 more
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Make Almost Stochastic Dominance really Almost [PDF]

open access: possible, 2013
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 under inconsistent utility and loss functions

Journal of Applied Probability, 2017
Abstract Current literature on stochastic dominance assumes utility/loss functions to be the same across random variables. However, decision models with inconsistent utility functions have been proposed in the literature. The use of inconsistent loss functions when comparing between two random variables can also be appropriate under other problem ...
Luo, Chunling, He, Zhou, Tan, Chin Hon
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An almost stochastic dominance based method for stochastic multiple attributes decision making

Intelligent Decision Technologies, 2017
This paper proposes an almost stochastic dominance based method for solving the stochastic multiple attribute decision making (SMADM) problems, where the attribute values of alternatives are represented by interval number with probability distribution (INPD), a random variable with closed interval support.
Wu, Yunna   +3 more
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Almost Stochastic Dominance and Moments [PDF]

open access: possible, 2013
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, 2008
This 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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Almost Stochastic Dominance (ASD)

2016
We have seen in Chap. 6 that the SD criteria as well as the MV rule may lead to paradoxes in decision making. To avoid such paradoxes and to make the theoretical distributions to be closer to the empirical distributions it suggested in the previous chapter to truncate the theoretical distributions.
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Preferred by “All” and Preferred by “Most” Decision Makers: Almost Stochastic Dominance

Management Science, 2002
While “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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Socially responsible investing portfolio: An almost stochastic dominance approach

International Journal of Finance & Economics, 2018
AbstractThis study investigates whether socially responsible investing (SRI) portfolio performs better than the market indexes using the utility‐based nonparametric approach. The results from realized return distribution show that SRI portfolio outperforms the market indexes in term of almost stochastic dominance. The outperformance of SRI portfolio is
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Almost Stochastic Dominance and stocks for the long run

European Journal of Operational Research, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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