Results 201 to 210 of about 6,367 (240)

Revisiting Almost Second-Degree Stochastic Dominance

Management Science, 2013
Leshno 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, Rachel J Huang, Pai-Ta Shih   +2 more
exaly   +3 more sources

Revisiting generalized almost stochastic dominance

Annals of Operations Research, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei-Han Liu, Mao-Wei Hung, Chang Jow-Ran   +2 more
exaly   +3 more sources

Almost Stochastic Dominance for Most Risk-Averse Decision Makers

Decision Analysis, 2020
In this paper, we propose a new concept of almost second-degree stochastic dominance (ASSD), which we term almost risk-averse stochastic dominance (ARSD). Compared with existing ASSD conditions, ARSD can exclude extremely risk-averse utility functions.
Chunling Luo, Chin Hon Tan
exaly   +3 more sources

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.
Moshe Levy
exaly   +3 more sources

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, Kamhon Kan, Larry Y Tzeng   +2 more
exaly   +2 more sources

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 ...
Chunling Luo, Zhou He 0004, Chin Hon Tan
openaire   +3 more sources

Revisiting almost marginal conditional stochastic dominance

The Quarterly Review of Economics and Finance, 2022
In this paper, we propose a new notion of the almost marginal conditional stochastic dominance rule by confining the ratio of marginal utility to exclude decision makers with extreme preferences.
Tzu-Ying Chen, An-Mei Tsai, Larry Y. Tzeng   +2 more
openaire   +2 more sources

Portfolio Optimization Based on Almost Second-Degree Stochastic Dominance

Management Science
In portfolio optimization, the computational complexity of implementing almost stochastic dominance has limited its practical applications. In this study, we introduce an optimization framework aimed at identifying the optimal portfolio that outperforms a specified benchmark under almost second-degree stochastic dominance (ASSD). Our approach involves
Patrick Jaillet
exaly   +2 more sources

Almost Stochastic Dominance and Moments [PDF]

, 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
openaire   +3 more sources

Stochastic Multiple-Attribute Decision Making Method Based on Stochastic Dominance and Almost Stochastic Dominance Rules with an Application to Online Purchase Decisions

Cognitive Computation, 2018
Although some stochastic multiple-attribute decision making (SMADM) methods based on the stochastic dominance (SD) rules have been proposed, there is still the limitation that the dominance relations between some pairs of alternatives cannot be identified. In this paper, almost stochastic dominance (ASD) rules are used as supplements of the SD rules to
Zhi-Ping Fan, Fan Zhi-Ping
exaly   +2 more sources