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The deviance information criterion (DIC) has been widely used for Bayesian model comparison. In particular, a popular metric for comparing stochastic volatility models is the DIC based on the conditional likelihood — obtained by conditioning on the latent variables. However, some recent...
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This article develops a new econometric methodology for performing stochastic model specification search (SMSS) in the vast model space of time-varying parameter VARs with stochastic volatility and correlated state transitions. This is motivated by the concern of over-fitting and the typically...
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We develop importance sampling methods for computing two popular Bayesian model comparison criteria, namely, the marginal likelihood and deviance information criterion (DIC) for TVP-VARs with stochastic volatility. The proposed estimators are based on the integrated likelihood, which are...
Persistent link: https://www.econbiz.de/10013017876
We compare a number of GARCH and stochastic volatility (SV) models using nine series of oil, petroleum product and … natural gas prices in a formal Bayesian model comparison exercise. The competing models include the standard models of GARCH(1 … innovations. We find that: (1) SV models generally compare favorably to their GARCH counterparts; (2) the jump component …
Persistent link: https://www.econbiz.de/10013021299
Adding multivariate stochastic volatility of a flexible form to large Vector Autoregressions (VARs) involving over a hundred variables has proved challenging due to computational considerations and over-parameterization concerns. The existing literature either works with homoskedastic models or...
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