Accurate modeling of extreme price changes is vital to financial risk management. We examine the small sample properties of adaptive tail index estimators under the class of student-t marginal distribution functions including GARCH and propose a model-based bias-corrected estimation approach....

We study the impact of Japanese foreign exchange intervention on the volatility of the yen/dollar exchange rate since the early 1990s based on a GARCH framework. Using daily intervention data provided by the Japanese Ministry of Finance, we show that the success of interventions varies over...

By applying the newly developed nonlinear stationary test advanced by Kapetanois et al. [Journal of Econometrics 112 (2003) 359 - 379] in examining the stationary property of 11 Asian real exchange rates, this paper rejects unit root in 8 US dollar based and 6 Japanese yen based rates, whereas...

Purchasing power parity (PPP) hypothesis has attracted a lot of attention from academics and policy-makers particularly, during the recent float. Most previous studies used data from the developed world. This study examines the validity of the PPP hypothesis using data during the recent float...

In this paper we study the behavior of the real exchange rate of three North American currencies vis-a-vis the U.S. dollar: the Canadian dollar the Mexican peso, and the Panamanian Balboa. Our principal object is to design an experiment in which meaningful comparisons of behavior across regimes...

To this end, the validity of purchasing power parity (PPP) remains a controversial issue, as empirical evidence is inconclusive. This study provides robust empirical evidence to support the view that negligence of non-linearity may be the culprit of these contrasting findings. This paper...

The use of conventional augmented CAPM specification in estimating the exchange rate exposure may result in less reliable estimates for, at least, two reasons. First, it does not take into account a few important stylized facts associated with financial time series. Second, one cannot estimate...