نتایج جستجو برای: stochastic dominance

تعداد نتایج: 153205  

Journal: :Review of Quantitative Finance and Accounting 2012

Journal: :Social Choice and Welfare 2012
Stephen Bazen Patrick Moyes

Élitisme et Dominance Stochastique Résumé La dominance stochastique est traditionnellement associée à la mesure du risque et de l'inégalité et repose sur la concavité de la fonction d'utilité. Nous prétendons que l'approche en terme de dominance stochastique a des implications qui vont au-delà de la mesure du risque et de l'inégalité pour peu que l'on procède à certains ajustements. Nous appliq...

Journal: :European Journal of Operational Research 2016
Thierry Post

We propose a new stochastic dominance (SD) criterion based on Kimball’s (1993) notion of standard risk aversion, which assumes decreasing absolute risk aversion (DARA) and decreasing absolute prudence (DAP). To implement the proposed criterion, we develop linear systems of optimality conditions for a given prospect relative to a discrete or polyhedral choice set in a general state-space model. ...

Journal: :Methodology and Computing in Applied Probability 2022

For addressing the Allis-type anomalies, a fractional degree reference dependent stochastic dominance rule is developed which generalization of integer rules. This new can effectively explain why risk comparison does not satisfy translational invariance and scaling in some cases. The also has good property that it compatible with endowment effect risk. help risk-averse but absolute decision mak...

Journal: :CoRR 2016
Jie Xue Yuan Li

In this paper, we study the dominance relation under a stochastic setting. Let S be a set of n coloredstochastic points in R, each of which is associated with an existence probability. We investigate theproblem of computing the probability that a realization of S contains inter-color dominances, whichwe call the colored stochastic dominance (CSD) problem. We propose the first algori...

2013
Benjamin Armbruster

We give a simple proof of Strassen’s theorem on stochastic dominance using linear programming duality, without requiring measure-theoretic arguments. The result extends to generalized inequalities using conic optimization duality and provides an additional, intuitive optimization formulation for stochastic dominance.

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