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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Main Authors: TSE, Yiu Kuen, Zhang, Xibin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/soe_research/129
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spelling sg-smu-ink.soe_research-11282010-09-23T05:48:03Z A Monte Carlo Investigation of Some Tests for Stochastic Dominance TSE, Yiu Kuen Zhang, Xibin 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. 2004-01-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/129 info:doi/10.1080/00949650310001593221 Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Burr distribution Income distribution Monte Carlo method Portfolio investment Stochastic dominance Union-intersection test Econometrics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Burr distribution
Income distribution
Monte Carlo method
Portfolio investment
Stochastic dominance
Union-intersection test
Econometrics
spellingShingle Burr distribution
Income distribution
Monte Carlo method
Portfolio investment
Stochastic dominance
Union-intersection test
Econometrics
TSE, Yiu Kuen
Zhang, Xibin
A Monte Carlo Investigation of Some Tests for Stochastic Dominance
description 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.
format text
author TSE, Yiu Kuen
Zhang, Xibin
author_facet TSE, Yiu Kuen
Zhang, Xibin
author_sort TSE, Yiu Kuen
title A Monte Carlo Investigation of Some Tests for Stochastic Dominance
title_short A Monte Carlo Investigation of Some Tests for Stochastic Dominance
title_full A Monte Carlo Investigation of Some Tests for Stochastic Dominance
title_fullStr A Monte Carlo Investigation of Some Tests for Stochastic Dominance
title_full_unstemmed A Monte Carlo Investigation of Some Tests for Stochastic Dominance
title_sort monte carlo investigation of some tests for stochastic dominance
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/soe_research/129
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