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Testing for a unit root in the volatility of asset returns

✍ Scribed by Jonathan H. Wright

Publisher: John Wiley and Sons
Year: 1999
Tongue: English
Weight: 168 KB
Volume: 14
Category: Article
ISSN: 0883-7252
DOI: 10.1002/(sici)1099-1255(199905/06)14:3<309::aid-jae531>3.0.co;2-x

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✦ Synopsis

It 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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