There are commonly accepted and objective decision rules, which are consistent with rationality, for example the stochastic dominance rules. But, as can be seen in many research studies in behavioural economics, decision makers do not always act rationally. Relatively new tools which model real...

There are commonly accepted and objective decision rules, which are consistent with rationality, for example the stochastic dominance rules. But, as can be seen in many research studies in behavioural economics, decision makers do not always act rationally. Relatively new tools which model real...

There are commonly accepted and objective decision rules, which are consistent with rationality, for example the stochastic dominance rules. But, as can be seen in many research studies in behavioural economics, decision makers do not always act rationally. Relatively new tools which model real...

We derive price limits as decision aids for identifying favorable and unfavorable contracts from the perspective of a selling firm in face of uncertain outcomes. The analysis is based on the concept of almost stochastic dominance to incorporate incomplete information about the decision-maker's...

We derive price limits as decision aids for identifying favorable and unfavorable contracts from the perspective of a selling firm in face of uncertain outcomes. The analysis is based on the concept of almost stochastic dominance to incorporate incomplete information about the decision-maker’s...

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.

Marginal Conditional Stochastic Dominance (MCSD) developed by Shalit and Yitzhaki (1994) gives the conditions under which all risk-averse individuals prefer to increase the share of one risky asset over another in a given portfolio. In this paper, we extend this concept to provide conditions...

Univariate almost stochastic dominance has been widely studied and applied since its introduction by Leshno and Levy (Manag Sci 48:1074–1085, <CitationRef CitationID="CR23">2002</CitationRef>). This paper extends this construction to the bivariate case by means of suitable two-attribute utility functions. After having confined...</citationref>

Both the expected-utility maximization and the hierarchy property are very important properties in stochastic dominance. For almost stochastic dominance, Leshno and Levy (2002) propose a definition and Tzeng et al. (2013) modified it to give another definition. This note provides more...

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,...