between real estate and stock markets by fitting different classes of time-varying volatility model; second, to perform VaR … processes, in terms of mean, volatility, correlation, can be compared. In the econometric analyses, we estimate both a …

concentrate on modeling the conditional mean. However, financial time series exhibit certain stylized features such as volatility … to address this issue and to gain insights on the volatility patterns of CDS spreads, bond yield spreads and stock prices … creditworthiness of debtors more reliably. The obtained findings suggest that volatility takes a significant higher level in times of …

financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH … to forecast financial markets volatility. The real data in this study uses British Pound-US Dollar (GBP) daily exchange … examined to the free parameters. Keywords: recurrent support vector regression ; GARCH model ; volatility forecasting …

concentrate on modeling the conditional mean. However, financial time series exhibit certain stylized features such as volatility … to address this issue and to gain insights on the volatility patterns of CDS spreads, bond yield spreads and stock prices … creditworthiness of debtors more reliably. The obtained findings suggest that volatility takes a significant higher level in times of …

concentrate on modeling the conditional mean. However, financial time series exhibit certain stylized features such as volatility … to address this issue and to gain insights on the volatility patterns of CDS spreads, bond yield spreads and stock prices … creditworthiness of debtors more reliably. The obtained findings suggest that volatility takes a significant higher level in times of …

aggregate U.S. stock market on: 1) the volatility predictions of asymmetric time series models, 2) implied volatility, and 3 …) realized volatility. Both asymmetric time series models and implied volatility predict an increase in volatility following … large negative surprise returns and ex post realized volatility normally rises as predicted. However, while asymmetric time …

time variation of stock return volatility (GARCH). In the long-term, our results suggest that the US defense firms only …. -- terrorism ; volatility ; GARCH ; event study …

contribution to overall realized variation and their contribution to predictive regressions of realized volatility. We find … individual stocks. -- Itô semi-martingale ; realized volatility ; jumps ; quadratic volatility ; multipower variation ; tripower …