Although internal policy mismanagements can be cited in most recent emerging market crises, they seldom account fully for the severity of these crises. The reluctance of international investors to provide the resources that would limit the extent of the reversal almost invariably plays a key...

Although internal policy mismanagements can be cited in most recent emerging market crises, they seldom account fully for the severity of these crises. The reluctance of international investors to provide the resources that would limit the extent of the reversal almost invariably plays a key...

The entire difference between a mild downturn and a devastating crisis is the occurrence of sharp fire sales of domestic assets and possibly foreign exchange and the ensuing collapse in the balance sheets of both the financial and nonfinancial sector. Why and how do such crises materialize? And...

This paper analyses the long-memory properties of a high-frequency financial time series dataset. It focuses on temporal aggregation and other features of the data, and how they might affect the degree of dependence of the series. Fractional integration or I(d) models are estimated with a...

This paper analyses the long-memory properties of a high-frequency financial time series dataset. It focuses on temporal aggregation and other features of the data, and how they might affect the degree of dependence of the series. Fractional integration or I(d) models are estimated with a...

This paper analyses the long-memory properties of high frequency financial time series. It focuses on temporal aggregation and the influence that this might have on the degree of dependence of the series. Fractional integration or I(d) models are estimated with a variety of specifications for...

This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets might be efficient) or alternatively I(d) with...

This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets might be efficient) or alternatively I(d) with...