Showing 1 - 10 of 13
The main contribution of this paper is a proof of the asymptotic validity of the application of the bootstrap to AR(∞) processes with unmodelled conditional heteroskedasticity. We first derive the asymptotic properties of the least-squares estimator of the autoregressive sieve parameters when...
Persistent link: https://www.econbiz.de/10005511987
Practical aspects of likelihood-based inference and forecasting of series with long memory are considered, based on the arfima(p; d; q) model with deterministic regressors. Sampling characteristics of approximate and exact first-order asymptotic methods are compared. The analysis is extended...
Persistent link: https://www.econbiz.de/10005584875
) forecasting ability of the normal-GARCH model. Compared to the use of more sophisticated GARCH models, the new method is fast …
Persistent link: https://www.econbiz.de/10010298337
-correction method can improve the n-GARCH and n-EGARCH VaR forecasts so much that the acquired VaR predictions are different from the … distribution instead of GARCH improves the performance of the bias-correction method in forecasting the VaR for almost all …
Persistent link: https://www.econbiz.de/10011659907
Value-at-Risk (VaR) and Expected Shortfall (ES) are increasingly used in portfolio risk measurement, risk capital allocation and performance attribution. Financial risk managers are therefore rightfully concerned with the precision of typical VaR and ES techniques. The purpose of this paper is...
Persistent link: https://www.econbiz.de/10005101108
) forecasting ability of the normal-GARCH model. Compared to the use of more sophisticated GARCH models, the new method is fast …
Persistent link: https://www.econbiz.de/10005120776
This paper proposes a bootstrap unit root test in models with GARCH(1,1) errors and establishes its asymptotic validity … for a wide range of GARCH specifications. …
Persistent link: https://www.econbiz.de/10004968089
Practical aspects of likelihood-based inference and forecasting of series with long memory are considered, based on the arfima(p; d; q) model with deterministic regressors. Sampling characteristics of approximate and exact first-order asymptotic methods are compared. The analysis is extended...
Persistent link: https://www.econbiz.de/10005007690
) forecasting ability of the normal-GARCH model. Compared to the use of more sophisticated GARCH models, the new method is fast …
Persistent link: https://www.econbiz.de/10010958670
The class of generalized autoregressive conditional heteroscedastic (GARCH) models has been proved to be particularly … depends on the population CF of the innovations, the equation defining the GARCH model and the parameter estimators employed …
Persistent link: https://www.econbiz.de/10010994239