Showing 1 - 10 of 55
-known GARCH models for density prediction of daily S&P 500 and Nikkei 225 index returns, a comparison is provided between …
Persistent link: https://www.econbiz.de/10011256766
quarterly basis - for commonly used GARCH models in a large-scale study, using more than twelve years (2000-2012) of daily … following conclusions. First, updating the parameter estimates of the GARCH equation on a daily frequency improves only … overlap, reflecting that the performance is not significantly different. Second, the asymmetric GARCH model with non …
Persistent link: https://www.econbiz.de/10011257409
three standard volatility models, namely GARCH, EGARCH and GJR. We use these alternative daily DJIA market sentiment scores …
Persistent link: https://www.econbiz.de/10011272574
In this paper we document that realized variation measures constructed from high-frequency returns reveal a large 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...
Persistent link: https://www.econbiz.de/10011272575
Cyclicality in the losses of bank loans is important for bank risk management. Because loans have a different risk profile than bonds, evidence of cyclicality in bond losses need not apply to loans. Based on unique data we show that the default rate and loss given default of bank loans share a...
Persistent link: https://www.econbiz.de/10011272584
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH …
Persistent link: https://www.econbiz.de/10011272590
We investigate the direct connection between the uncertainty related to estimated stable ratios of stock prices and risk and return of two pairs trading strategies: a conditional statistical arbitrage method and an implicit arbitrage one. A simulation-based Bayesian procedure is introduced for...
Persistent link: https://www.econbiz.de/10011272592
Modelling covariance structures is known to suffer from the curse of dimensionality. In order to avoid this problem for forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures that accommodates asymmetry and long memory....
Persistent link: https://www.econbiz.de/10011272593
Kong markets have the greatest influence on the Australian one. We then move to a GARCH framework to apply further analysis … and apply a tri-variate Cholesky-GARCH model to explore the effects from the US and Chinese market, as represented by the …
Persistent link: https://www.econbiz.de/10011272594
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH …
Persistent link: https://www.econbiz.de/10011272596