We consider a common components model for multivariate fractional cointegration, in which the s=1 components have different memory parameters. The cointegrating rank is allowed to exceed 1. The true cointegrating vectors can be decomposed into orthogonal fractional cointegrating subspaces such...

This article shows a test for the spurious regression problem in a panel data model with a growing individual number and time series length. In the estimation, tapers are used and the integrated order for the remainder disturbance is extended to a real number; at the same time, the spurious...

We assess the perception of professional forecasters regarding the effectiveness of unconventional monetary policy measures undertaken by the U.S. Federal Reserve after the collapse of Lehman Brothers. Using individual survey data, we analyse the changes in forecasting of bond yields around the...

We assess the perception of professional forecasters regarding the effectiveness of unconventionalmonetary policy measures undertaken by the U.S. Federal Reserve after the collapse of LehmanBrothers. Using individual survey data, we analyse the changes in forecasting of bond yields aroundthe...

In this paper we perform a Monte Carlo study based on three well-known semiparametric estimates for the long memory fractional parameter. We study the efficiency of Geweke and Porter-Hudak, Gaussian semiparametric and wavelet Ordinary Least-Square estimates in both stationary and non stationary...

Portfolio flows across Emerging Markets (EMs) have been particularly volatile over the last years. Financial distress at the beginning of the crisis was followed by monetary policy reactions in developed economies and emerging countries triggering push and pull forces favourable for flow...

Whittle pseudo-maximum likelihood estimates of parameters for stationary time series have been found to be consistent and asumptotically normal in the presence of long-range dependence. Generalizing the definition of the memory parameter d, we extend these results to include possibly...