The power of some standard tests of stationarity against changes in the unconditional variance

Ibrahim Ahamada and Mohamed Boutahar

Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL

Abstract: Abrupt changes in the unconditional variance of returns have been recently revealed in many empirical studies. In this paper, we show that traditional KPSS-based tests have a low power against nonstationarities stemming from changes in the unconditional variance. More precisely, we show that even under very strong abrupt changes in the unconditional variance, the asymptotic moments of the statistics of these tests remain unchanged. To overcome this problem, we use some CUSUM-based tests adapted for small samples. These tests do not compete with KPSS-based tests and can be considered as complementary. CUSUM-based tests confirm the presence of strong abrupt changes in the unconditional variance of stock returns, whereas KPSS-based tests do not. Consequently, traditional stationary models are not always appropriate to describe stock returns. Finally, we show how a model allowing abrupt changes in the unconditional variance is well appropriate for CAC 40 stock returns.

Keywords: KPSS test; panel stationarity test; unconditional variance; abrupt changes; stock returns; size-power curve.; Test KPSS; tests de stationnarité en panel; variance inconditionnelle; changements brusques; rendements financiers; courbe taille-puissance. (search for similar items in EconPapers)
Date: 2010-04
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Published in 2010

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Working Paper: The Power of some Standard tests of stationarity against changes in the unconditional variance (2010)
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