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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
Chunling Luo, Piao Chen, Patrick Jaillet
openaire   +1 more source

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
Guang-Tian Jiang, Zhi-Ping Fan, Yang Liu
openaire   +1 more source

Retrieving almost stochastic Dominance momentum in Taiwan stock market

Pacific-Basin Finance Journal
We propose new momentum strategies based on the Almost Stochastic Dominance rules. Relative to classic momentum, our novel strategy achieves better risk-adjusted performance, and exhibits lower volatility and reduced negative skewness in returns. The abnormal returns are statistically and economically significant when testing against alternative common
Mi-Hsiu Chiang   +2 more
openaire   +2 more sources

Revisiting almost marginal conditional stochastic dominance

The Quarterly Review of Economics and Finance, 2022
Tzu-Ying Chen   +2 more
openaire   +1 more source

Almost Stochastic Dominance for Risk-Averse and Risk-Seeking Investors [PDF]

open access: possible, 2013
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
openaire   +1 more source

Critical Values for Almost Stochastic Dominance based on Relative Risk Aversion

SSRN Electronic Journal, 2015
We derive critical values for the violation area in Nth order Almost Stochastic Dominance based on the Nth degree coefficient of relative risk aversion of reasonable utility functions. Our critical values are consistent with existing experimental estimates but apply for a broader range of choice problems by accounting for prior information about risk ...
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Comparing retirement plans with almost stochastic dominance

SSRN Electronic Journal, 2023
An Chen, Alfred Müller, Manuel Rach
openaire   +1 more source

Tail Risk, Almost Stochastic Dominance and Index Option Anomalies

SSRN Electronic Journal, 2021
Michal Czerwonko   +2 more
openaire   +1 more source

A stochastic agent-based model of the SARS-CoV-2 epidemic in France

Nature Medicine, 2020
Nicolas Hoertel   +2 more
exaly  

Intuitionistic fuzzy three-way transfer learning based on rough almost stochastic dominance

Engineering Applications of Artificial Intelligence, 2023
Xian-wei Xin   +5 more
openaire   +1 more source

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