This paper uses a modelling framework which includes two singularities (or poles) in the spectral density function, one corresponding to the long-run (zero) frequency and the other to the cyclical (non-zero) frequency. The adopted specification is very general, since it allows for fractional...

This paper uses a modelling framework which includes two singularities (or poles) in the spectral density function, one corresponding to the long-run (zero) frequency and the other to the cyclical (non-zero) frequency. The adopted specification is very general, since it allows for fractional...

This study focuses on the question whether nonlinear transformation of lagged time series values and residuals are able to systematically improve the average forecasting performance of simple Autoregressive models. Furthermore it investigates the potential superior forecasting results of a...

This paper examines macro-financial proximity underlying dynamics of co-movement between emerging and developed countries’ stock markets over the last decade. We initially decompose dynamic conditional correlations between log-returns of daily stock market indexes into short-run (daily) and...

This paper investigates the interdependence of stock returns with some other financial variables applied to several European Telecommunications institutions. In particular, using a multivariate vector autoregressive (VAR) approach this study examines the relation, the direction of the relation,...

Numerous turbulent events in the recent past have raised the issue of an asset that could play the role of safe haven. Although for many years it was considered that gold has the role of a safe haven, an increasing number of recent works challenge such a point of view. The emergence of...