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In this paper we propose new estimation techniques in connection with regression models whose errors have distributions which are members of the celebrated Pearson’s system. Efficient MCMC procedures are proposed in the context of likelihood—based inference. The new techniques are applied to...
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This work proposes an approach for estimating value at risk (VaR) of the Mexican stock exchange index (IPC) by using a … combination of the autoregressive moving average models (ARMA); three different models of the arch family, one symmetric (GARCH …) and two asymmetric (GJR-GARCH and EGARCH); and the extreme value theory (EVT). The ARMA models were initially used to …
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appropriate model for the BDEF series, while the ARMA (3,2) is the proper model for the INTRATE series. The estimated VAR (2 …
Persistent link: https://www.econbiz.de/10011165850
Markov-switching models are usually specified under the assumption that all the parameters change when a regime switch occurs. Relaxing this hypothesis and being able to detect which parameters evolve over time is relevant for interpreting the changes in the dynamics of the series, for...
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