Testing for a Unit Root in the Volatility of Asset Returns
AbstractIt is now well established that the volatility of asset returns is time varying and highly persistent. One leading model that is used to represent these features of the data is the stochastic volatility model. The researcher may test for non-stationarity of the volatility process by testing for a unit root in the log-squared time series. This strategy for inference has many advantages, but is not followed in practice because these unit root tests are known to have very poor size properties. In this paper I show that new tests that are robust to negative MA roots allow a reliable test for a unit root in the volatility process to be conducted. In applying these tests to exchange rate and stock returns, strong rejections of non-stationarity in volatility are obtained.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.
Volume (Year): 14 (1999)
Issue (Month): 3 (May-June)
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Web page: http://www.interscience.wiley.com/jpages/0883-7252/
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- Guglielmo Maria Caporale & Luis A. Gil-Alana, 2005.
"Modelling Stochastic Volatility In Asset Returns Using Fractionally Integrated Semiparametric Techniques,"
Economics and Finance Discussion Papers
05-10, Economics and Finance Section, School of Social Sciences, Brunel University.
- Guglielmo Maria Caporale & Luis A. Gil-Alana, 2006. "Modelling stochastic volatility in asset returns using fractionally integrated semiparametric techniques," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 2(1), pages 9-12, January.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999.
"The Distribution of Exchange Rate Volatility,"
New York University, Leonard N. Stern School Finance Department Working Paper Seires
99-059, New York University, Leonard N. Stern School of Business-.
- Torben Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," NBER Working Papers 6961, National Bureau of Economic Research, Inc.
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," Center for Financial Institutions Working Papers 99-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Yong Li & Jun Yu, 2010.
"A New Bayesian Unit Root Test in Stochastic Volatility Models,"
21-2010, Singapore Management University, School of Economics, revised Oct 2010.
- Yong Li & Jun Yu, 2012. "A New Bayesian Unit Root Test in Stochastic Volatility Models," Working Papers 14-2012, Singapore Management University, School of Economics.
- Luis Gil-Alana, 2003. "Stochastic behavior of nominal exchange rates," Atlantic Economic Journal, International Atlantic Economic Society, vol. 31(2), pages 159-173, June.
- Patton, Andrew J., 2011. "Data-based ranking of realised volatility estimators," Journal of Econometrics, Elsevier, vol. 161(2), pages 284-303, April.
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