Showing 11 - 16 of 16
In this paper we test for (Generalized) AutoRegressive Conditional Heteroskedasticity [(G)ARCH] in daily and weekly … data on 22 exchange rates and 13 stock market indices using the standard Lagrange Multiplier [LM] test for GARCH and a new … result is that we find spurious GARCH in over 50% of the cases. Using Monte Carlo simulations, in which we evaluate our …
Persistent link: https://www.econbiz.de/10008584701
the GARCH(1,1), GJR(1,1) and EGARCH(1,1) models for Korean tourist arrivals to Taiwan and the Korean Won / New Taiwan …
Persistent link: https://www.econbiz.de/10008584711
Carlo methods. The effects of several model characteristics (unit roots, GARCH, stochastic volatility, heavy tailed …
Persistent link: https://www.econbiz.de/10008584714
conditional mean specifications. The QMLE for the GARCH(1,1), GJR(1,1) and EGARCH(1,1) models for world, US and Japanese tourist …
Persistent link: https://www.econbiz.de/10008584742
- Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order GARCH errors. …
Persistent link: https://www.econbiz.de/10008800914
The internal models amendment to the Basel Accord allows banks to use internal models to forecast Value-at-Risk (VaR) thresholds, which are used to calculate the required capital that banks must hold in reserve as a protection against negative changes in the value of their trading portfolios. As...
Persistent link: https://www.econbiz.de/10008484079