We develop a generalized impulse response function for the fractionally integrated vector autoregressive (FIVAR) model using the Pesaran and Shin (1998) approach. Our method is different from the methodology shown in Chung (2001) since it does not require us to orthogonalize the error vector...

We develop a framework that allows a multivariate system of long memory processes to be conditional on specific regimes to investigate the effects of credit rating agencies (CRAs)' sovereign credit re-ratings on European stock and currency return distributions via their first four realized...

This paper proposes a convenient approach to measure the time-varying volatility connectedness indexes by developing the connectedness measures within a multivariate Heterogeneous Autoregressive model with measurement errors (VHAR-Q). We utilize this framework to examine the dynamic volatility...