A Monte Carlo Investigation of Some Tests for Stochastic Dominance

A Monte Carlo Investigation of Some Tests for Stochastic Dominance

This paper compares the performance of several tests for stochastic dominance up to order three using Monte Carlo methods. The tests considered are the Davidson and Duclos (2000) test, the Anderson test (1996) and the Kaur, Rao and Singh (1994) test. Only unpaired samples of independent observations...

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Bibliographic Details
Main Authors: TSE, Yiu Kuen, Zhang, Xibin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
Subjects:
Burr distribution
Income distribution
Monte Carlo method
Portfolio investment
Stochastic dominance
Union-intersection test
Econometrics
Online Access:https://ink.library.smu.edu.sg/soe_research/129
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Institution: Singapore Management University
Language: English
Description
Summary:This paper compares the performance of several tests for stochastic dominance up to order three using Monte Carlo methods. The tests considered are the Davidson and Duclos (2000) test, the Anderson test (1996) and the Kaur, Rao and Singh (1994) test. Only unpaired samples of independent observations are considered, as this is a restriction for both the Anderson and Kaur-Rao-Singh tests. We find that the Davidson-Duclos test appears to be the best. The Kaur-Rao-Singh test is overly conservative and does not compare favorably against the Davidson-Duclos and Anderson tests in terms of power.

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