Conditional stochastic dominance tests in dynamic settings
Abstract
This paper proposes nonparametric consistent tests of conditional stochastic dominance of arbitrary order in a dynamic setting. The novelty of these tests lies in the nonparametric manner of incorporating the information set into the test. The test allows for general forms of unknown serial and mutual dependence between random variables, and has an asymptotic distribution that can be easily approximated by simulation. This method has good finite-sample performance. These tests are applied to determine the investment efficiency between U S industry portfolios conditional on the dynamics of the market portfolio. The empirical analysis suggests that Telecommunications dominates the other sectoral portfolios under risk aversion.Download Info
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Paper provided by Universidad Carlos III, Departamento de Economía in its series Economics Working Papers with number we1205.Length:
Date of creation: Feb 2012
Date of revision:
Handle: RePEc:cte:werepe:we1205
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Keywords: Hypothesis testing; Kernel estimation; Lower partial moments; Nonparametric regression; P-value transformation; Stochastic dominance;Other versions of this item:
- Gonzalo, Jesús & Olmo, José, . "Conditional stochastic dominance tests in dynamic settings," Open Access publications from Universidad Carlos III de Madrid info:hdl:10016/9691, Universidad Carlos III de Madrid.
- Jesús Gonzalo & José Olmo, 2010. "Conditional stochastic dominance tests in dynamic settings," Economics Working Papers we1029, Universidad Carlos III, Departamento de Economía.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- G1 - Financial Economics - - General Financial Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-03-14 (All new papers)
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Scaillet, Olivier & Topaloglou, Nikolas, 2010.
"Testing for Stochastic Dominance Efficiency,"
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- Miguel A. Delgado & Juan Carlos Escanciano, 2013.
"Conditional Stochastic Dominance Testing,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 31(1), pages 16-28, January.
- Miguel A. Delgado & Juan Carlos Escanciano, 2011. "Conditional stochastic dominance testing," Economics Working Papers we1138, Universidad Carlos III, Departamento de Economía.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Delgado, Miguel A. & Escanciano, Juan Carlos, 2007.
"Nonparametric Tests for Conditional Symmetry in Dynamic Models,"
Open Access publications from Universidad Carlos III de Madrid
info:hdl:10016/2494, Universidad Carlos III de Madrid.
- Delgado, Miguel A. & Carlos Escanciano, J., 2007. "Nonparametric tests for conditional symmetry in dynamic models," Journal of Econometrics, Elsevier, vol. 141(2), pages 652-682, December.
- Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
- Kaur, Amarjot & Prakasa Rao, B.L.S. & Singh, Harshinder, 1994. "Testing for Second-Order Stochastic Dominance of Two Distributions," Econometric Theory, Cambridge University Press, vol. 10(05), pages 849-866, December.
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