Daily data on the German market index return are used to consider multiple issues in a forecasting comparison of ARCH-type specifications. first, attention is paid to the impact of different sample sizez, different horizons and fitting of historical versus implied data. Secondly, the issue of volatility transmission is addressed by modelling French and Germany market indexes into simultaneous conditionally heteroskedasticity framework. Errors obtained by updating the Black and Scholes formula with the different volatility forecasts are compared. The findings support, if no implied volatility is available, the use of the simplest GARCH specification estimated on short recent sample
This study examines whether the implied volatility index can provide further information in forecast...
Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecas...
In this paper, we assess the efficiency, information content and unbiasedness of volatility forecast...
Daily data on the German market index return are used to consider multiple issues in a forecasting c...
We investigate empirically the role of trading volume (1) in predicting the rela-tive informativenes...
Modern institutions from multinationals to nation states use the global derivatives market in order ...
Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecas...
The existing literature contains conflicting evidence regarding the relative quality of stock market...
We document several problems with GARCH type model predictions over the multi-day horizons common to...
We present a volatility forecasting comparative study within the autoregressive conditional heterosk...
We compare the predictive ability and economic value of implied, realized, and GARCH volatility mode...
The performance of an ARCH model selection algorithm based on the standardized prediction error crit...
During the last few years there has been an increasing interest in modelling time-varying volatiliti...
This study examines which of the implied volatilities from options and covered warrants with exactly...
This paper examines the accuracy of implied volatility and GARCH forecasted volatility to predict th...
This study examines whether the implied volatility index can provide further information in forecast...
Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecas...
In this paper, we assess the efficiency, information content and unbiasedness of volatility forecast...
Daily data on the German market index return are used to consider multiple issues in a forecasting c...
We investigate empirically the role of trading volume (1) in predicting the rela-tive informativenes...
Modern institutions from multinationals to nation states use the global derivatives market in order ...
Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecas...
The existing literature contains conflicting evidence regarding the relative quality of stock market...
We document several problems with GARCH type model predictions over the multi-day horizons common to...
We present a volatility forecasting comparative study within the autoregressive conditional heterosk...
We compare the predictive ability and economic value of implied, realized, and GARCH volatility mode...
The performance of an ARCH model selection algorithm based on the standardized prediction error crit...
During the last few years there has been an increasing interest in modelling time-varying volatiliti...
This study examines which of the implied volatilities from options and covered warrants with exactly...
This paper examines the accuracy of implied volatility and GARCH forecasted volatility to predict th...
This study examines whether the implied volatility index can provide further information in forecast...
Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecas...
In this paper, we assess the efficiency, information content and unbiasedness of volatility forecast...