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Structural Stability Tests with Unknown Breakpoint for the Efficient Method of Moments with Application to Stochastic Volatility Models

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  • Pieter J. van der Sluis

    (University of Amsterdam)

Abstract

Tests for structural stability with unknown breakpoint are derived for and applied tothe efficient method of moments. Three types of tests are discerned: Wald type tests,Predictive tests and Hansen type tests. The Hansen type test for structural stabilitywith unknown breakpoint is a novelty for moment based techniques. Therefore for thistest asymptotic and local power results are provided. It turns out this test has thesame asymptotic distribution as the Hall and Sen test. All these tests are applied toan asymmetric stochastic volatility model for a series of daily observations of theS&P 500 index over the years 1963-1993. Our results indicate that the asymmetricstochastic volatility models fails all stability tests. The supremum type tests givean estimate of the breakpoint in first half of 1970. However the model seems to becomemore stable as time proceeds.

Suggested Citation

  • Pieter J. van der Sluis, 1998. "Structural Stability Tests with Unknown Breakpoint for the Efficient Method of Moments with Application to Stochastic Volatility Models," Tinbergen Institute Discussion Papers 98-055/4, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:19980055
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    References listed on IDEAS

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    1. Pieter J. van der Sluis, 1997. "Post-Sample Prediction Tests for the Efficient Method of Moments," Tinbergen Institute Discussion Papers 97-054/4, Tinbergen Institute.
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    9. van der Sluis Pieter J., 1997. "EmmPack 1.01: C/C++ Code for Use with Ox for Estimation of Univariate Stochastic Volatility Models with the Efficient Method of Moments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(3), pages 1-20, October.
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    Cited by:

    1. Ghysels, Eric & Guay, Alain, 2004. "Testing For Structural Change In The Presence Of Auxiliary Models," Econometric Theory, Cambridge University Press, vol. 20(6), pages 1168-1202, December.

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