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Persistent link: https://www.econbiz.de/10004937608
With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...
Persistent link: https://www.econbiz.de/10011604877
-memory counterparts. Since long memory models should have a particular advantage over long forecasting horizons, we consider predictions …
Persistent link: https://www.econbiz.de/10010294979
forecasting financial volatility. We use the auto-covariances of log increments of the multi-fractal process in order to estimate … ?scaling? approach. Our empirical estimates are used in out-of-sample forecasting of volatility for a number of important …
Persistent link: https://www.econbiz.de/10010295056
Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … leads to gains in forecasting accuracy for some time series. …
Persistent link: https://www.econbiz.de/10010295106
-memory counterparts. Since long memory models should have a particular advantage over long forecasting horizons, we consider predictions …
Persistent link: https://www.econbiz.de/10010295136
forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of volatility … leads to gains in forecasting accuracy for some time series. …
Persistent link: https://www.econbiz.de/10010295151
modelling bias and estimation (in)efficiency. In forecasting, the proposed adaptive approach significantly outperforms a MEM …
Persistent link: https://www.econbiz.de/10010330969
This paper elaborates on the link between financial market volatility and real economic activity. Using monthly data for Germany from 1968 to 1998, we specify GARCH models to capture the variability of stock market prices, of the real exchange rate, and of a long-term and of a short-term rate of...
Persistent link: https://www.econbiz.de/10010275423