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The Moving-Estimates Test for Parameter Stability

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Author Info
Chu, Chia-Shang James
Hornik, Kurt
Kuan, Chung-Ming

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Abstract

In this paper a new class of tests for parameter stability, the moving-estimates (ME) test, is proposed. It is shown that in the standard situation the ME test asymptotically equivalent to the maximal likelihood ratio test under the alternative of a temporary parameter shift. It is also shown that the asymptotic null distribution of the ME test is determined by the increments of a vector Brownian bridge and that under a broad class of alternatives the ME test is consistent and has nontrivial local power in general. Our simulations also demonstrate that the proposed test has power superior to other competing tests when parameters are temporarily instable.

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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 11 (1995)
Issue (Month): 04 (August)
Pages: 699-720
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Handle: RePEc:cup:etheor:v:11:y:1995:i:04:p:699-720_00

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  2. Raphael Markellos & Terence Mills, 2003. "Asset pricing dynamics," European Journal of Finance, Taylor and Francis Journals, vol. 9(6), pages 533-556, December. [Downloadable!] (restricted)
  3. Stanislav Anatolyev & Grigory Kosenok, 2008. "Sequential Testing with Uniformly Distributed Size," Working Papers w0123, Center for Economic and Financial Research (CEFIR). [Downloadable!]
  4. Raffaella Giacomini & Barbara Rossi, 2006. "Detecting and predicting forecast breakdowns," Working Paper Series 638, European Central Bank. [Downloadable!]
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  5. Kurt Hornik & Friedrich Leisch & Christian Kleiber & Achim Zeileis, 2005. "Monitoring structural change in dynamic econometric models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 99-121. [Downloadable!]
  6. Stanislav Anatolyev, 2006. "Nonparametric retrospection and monitoring of predictability of financial returns," Working Papers w0071, Center for Economic and Financial Research (CEFIR). [Downloadable!]
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