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A Robust Entropy-Based Test for Asymmetry

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Author Info
Maasoumi, Esfandiar () (Department of Economics, Southern Methodist University, Dallas, TX 75275-0496, USA)
Racine Jeff () (Department of Economics, Syracuse University, Syracuse, NY 13244-1020, USA)

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Abstract

We consider a metric entropy capable of detecting deviations from symmetry. A consistent test statistic is constructed from an integrated normed di®erence between two density functions estimated using ker- nel methods. The null distribution (symmetry) is obtained by resam- pling from an arti¯cially lengthened series constructed from a rotation of the original series about its mean (median, mode). Simulations demonstrate that the test has correct level and power in the direc- tion of interesting alternatives, while applications to updated Nelson & Plosser (1982) data demonstrate its potential power gains relative to existing tests.

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File URL: ftp://ftp1.economics.smu.edu/WorkingPapers/2005/maasoumi/Paper1.pdf
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Publisher Info
Paper provided by Southern Methodist University, Department of Economics in its series Departmental Working Papers with number 0508.

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Length: 12 pages
Date of creation: 26 May 2003
Date of revision:
Handle: RePEc:smu:ecowpa:0508

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Postal: Department of Economics, P.O. Box 750496, Southern Methodist University, Dallas, TX 75275-0496
Phone: 214-768-2715
Fax: 214-768-1821
Web page: http://www.smu.edu/economics

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  1. Bai, Jushan & Ng, Serena, 2001. "A consistent test for conditional symmetry in time series models," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 225-258, July. [Downloadable!] (restricted)
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