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We compare small-sample properties of Bayes estimation and maximum likelihood estimation (MLE) of ARMA-GARCH models … method of testing strict stationarity and ergodicity of the conditional variance in the GARCH(1,1) process, near epoch … depencenve (NED), and finiteness of unconditional moments of the GARCH(1,1) process by using a Markov chain Monte Carlo (MCMC …
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parsimonious and effective GARCH(1,1) model with Student-t innovations. The estimation procedure is fully automatic and thus avoids …This note presents the R package bayesGARCH (Ardia, 2007) which provides functions for the Bayesian estimation of the …
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is the constant in the variance process of the innovations that is subject to regime shifts. The joint estimation of the …
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