Modelling long-memory volatilities with leverage effect: A-LMSV versus FIEGARCH
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
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The autocorrelation function (acf) of powered absolute returns and their cross-correlations with original returns are derived, for any value of the power parameter, in the context of long-memory stochastic volatility models with leverage effect and Gaussian noises. These autocorrelations and cross-correlations generalize and correct recent results on the acf of squared and absolute returns.