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Persistent link: https://www.econbiz.de/10009385071
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …
Persistent link: https://www.econbiz.de/10010294979
Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … volatility components. From a practical point of view, ML also becomes computationally unfeasible for large numbers of components … forecasts which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo …
Persistent link: https://www.econbiz.de/10010295106
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the na?ve forecast provided by historical volatility. As a somewhat surprising result, we also …
Persistent link: https://www.econbiz.de/10010295136
forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of volatility … which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo … linear compared to optimal forecasts is small. Extending the number of volatility components beyond what is feasible with MLE …
Persistent link: https://www.econbiz.de/10010295151
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the nai͏̈ve forecast provided by historical volatility. As a somewhat surprising result, we also …
Persistent link: https://www.econbiz.de/10003392147
forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of volatility … which in principle is applicable for any continuous distribution with any number of volatility components. Monte Carlo … linear compared to optimal forecasts is small. Extending the number of volatility components beyond what is feasible with MLE …
Persistent link: https://www.econbiz.de/10003392192
Persistent link: https://www.econbiz.de/10009735127
form the best linear forecasts for future volatility we find that the behavioral model generates sensible forecasts that …
Persistent link: https://www.econbiz.de/10010501932
We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular … practically always improves upon the nai͏̈ve forecast provided by historical volatility. As a somewhat surprising result, we also …, volatility. …
Persistent link: https://www.econbiz.de/10002090155