Efficient Algorithms for Stochastic Dominance Tests Based on Financial Market Data

Abstract

It is known that when the random variables being compared have a uniform probability measure, as is the case when using financial market data, the computation of efficient sets for first- and second-degree dominance can be greatly simplified if majorization conditions are used instead of the dominance definitions. This paper presents an equally efficient technique for third-degree dominance.

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