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A STATISTICAL TEST OF VOLATILITY PERSISTENCE IN GARCH MODELS AND APPLICATION TO STOCK EXCHANGE
Journal article

A STATISTICAL TEST OF VOLATILITY PERSISTENCE IN GARCH MODELS AND APPLICATION TO STOCK EXCHANGE

B. Benaid and H. Bouzahir
Advances and applications in statistics, Vol.52(6), pp.363-374
01/06/2018

Abstract

Mathematics Physical Sciences Science & Technology Statistics & Probability
In this paper, we first establish the limiting distribution of the statistical test under the persistence condition of volatility in Generalized Auto-Regressive Conditional Heteroskedasticity GARCH(1, 1) model. Then, we test the presence of volatility persistence in stock return time series by using S&P500 data and CAC40 data. The performed analysis confirms that the hypothesis of persistence in variance is rejected by the statistical test for both SP&500 and CAC40 with a critical p-value 0.05.

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