forecasting horizons. Therefore, a long memory volatility model compared to a short memory GARCH model does not appear to improve …

This book presents methodologies for the Bayesian estimation of GARCH models and their application to financial risk … paradigm for inference. The next three chapters describe the estimation of the GARCH model with Normal innovations and the … between individuals can be substantial in terms of regulatory capital. The last chapter proposes the estimation of a Markov …

degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which … forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation … distribution of returns. Explicitly modeling this volatility risk is fundamental. We propose a dually asymmetric realized …