The EGARCH model of Nelson [29] is one of the most successful ARCH models which may exhibit characteristic asymmetries of financial time series, as well as long memory. The paper studies the covariance structure and dependence properties of the EGARCH and some related stochastic volatility models. We show that the large time behavior of the covariance of powers of the (observed) ARCH process is determined by the behavior of the covariance of the (linear) log-volatility process; in particular, a...
This paper considers the problem of testing a sub-hypothesis in homoscedastic linear regression models when the covariate and error processes form independent long memory moving averages. The asymptotic null distribution of the likelihood ratio type test based on Whittle quadratic forms is shown to be a chi-square distribution. Additionally, the estimators of the slope parameters obtained by minimizing the Whittle dispersion is seen to be -consistent for all values of the long memory parameters...
The EGARCH model of Nelson [29] is one of the most
successful
ARCH models which may exhibit characteristic asymmetries of
financial time series, as well as long memory. The paper studies
the covariance structure and dependence properties of the EGARCH
and some related stochastic volatility models. We show that the
large time behavior of the covariance of powers of the (observed)
ARCH process is determined by the behavior of the covariance of
the (linear) log-volatility process; in particular,...
Download Results (CSV)