This paper uses Monte Carlo techniques to assess the loss in terms of forecast accuracy which is incurred when the true DGP exhibits parameter instability which is either overlooked or incorrectly modelled. We find that the loss is considerable when a FCM is estimated instead of the true TVCM,...

This paper uses Monte Carlo techniques to assess the loss in terms of forecast accuracy which is incurred when the true data generation process (DGP) exhibits parameter instability which is either overlooked or incorrectly modelled. We find that the loss is considerable when a fixed coefficient...

This paper examines the dynamic interactions between mutual fund flows and security returns in an emerging capital market, namely the Greek one. It adopts a testing strategy not requiring pre-testing (which might generate severe biases) but simply augmenting the system (Toda and Yamamoto, 1995,...

Using Monte Carlo simulations, it is shown that fitting a mis-specified GARCH model to a true MS-GARCH process tends to produce IGARCH parameter estimates. In other words, the presence of structural breaks can result in spuriously high estimates of the degree of persistence of shocks to the...

In this study we examine the widely used Brock, Dechert and Scheinkman (BDS) test when applied to the logarithm of the standardized residuals of an estimated GARCH(1,1) model as a test for the adequacy of this specification. We review the conditions derived by De Lima (1996, Econometric Reviews,...