Results 201 to 210 of about 6,026 (230)
Some of the next articles are maybe not open access.
Revisiting generalized almost stochastic dominance
Annals of Operations Research, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei-Han Liu
exaly +3 more sources
Almost Stochastic Dominance for Most Risk-Averse Decision Makers
Decision Analysis, 2020In 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
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
exaly +2 more sources
Almost Stochastic Dominance and stocks for the long run
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Moshe Levy
openalex +3 more sources
Portfolio Optimization Based on Almost Second-Degree Stochastic Dominance
Management ScienceIn 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
exaly +2 more sources
Retrieving almost stochastic Dominance momentum in Taiwan stock market
Pacific-Basin Finance JournalWe 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
Yu-Chin Hsu
exaly +3 more sources
Intuitionistic fuzzy three-way transfer learning based on rough almost stochastic dominance
Engineering Applications of Artificial Intelligence, 2023Zhan-Ao Xue
exaly +2 more sources

