Showing 1 - 10 of 5,037
We assess the predictive accuracy of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set 248 multivariate models that differ in their...
Persistent link: https://www.econbiz.de/10009652126
We assess the predictive accuracy of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set 248 multivariate models that differ in their...
Persistent link: https://www.econbiz.de/10009492823
The main purpose of this paper is to consider the multivariate GARCH (MGARCH) framework to model the volatility of a multivariate process exhibiting long term dependence in stock returns. More precisely, the long term dependence is examined in the …first conditional moment of US stock returns...
Persistent link: https://www.econbiz.de/10009644795
This paper addresses the question of the selection of multivariate GARCH models in terms of variance matrix forecasting …
Persistent link: https://www.econbiz.de/10008595652
We assess the predictive accuracy of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set 248 multivariate models that differ in their...
Persistent link: https://www.econbiz.de/10010610494
We assess the predictive accuracies of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set of 444 multivariate models that differ in their...
Persistent link: https://www.econbiz.de/10010730021
This paper addresses the question of the selection of multivariate GARCH models in terms of variance matrix forecasting …
Persistent link: https://www.econbiz.de/10008642224
provide suitable estimates for measuring and forecasting market risk. The data sample consists of five international developed …
Persistent link: https://www.econbiz.de/10010540353
We suggest a new model-free definition of the beta coefficient, which plays an important rôle in systematic risk management. This setting, which is based on the existence of trends for financial time series via nonstandard analysis (Fliess M., Join C.: A mathematical proof of the existence of...
Persistent link: https://www.econbiz.de/10008792703
There are numerous examples of supply chain disruptions that have occurred which have had devastating impacts not only on a single firm but also on various other firms in the supply network. We utilize a Bayesian Network (BN) approach and develop a model of risk propagation in a supply network....
Persistent link: https://www.econbiz.de/10011209301