We propose an extension of structural fractionally integrated vector autoregressive models that avoids certain undesirable effects for impulse responses if long-run identification restrictions are imposed. We derive its Granger representation, investigate the effects of long-run restrictions and...

This paper explores the implications of asset return predictability on long-term portfolio choice when return forecasting variables exhibit long memory. We model long memory using the class of fractionally integrated time series models. Important predictor variables for U.S. data, like the...

This paper analyses the growth effects of capital formation, exports and FDI as major drivers of economic development in Eastern Europe. The fundamental innovations are identified by empirically and theoretically motivated short- and long-run restrictions in structural cointegrated vector...

The present work deals with a frequently detected failure of the uncovered interest rate parity (UIP) - the absence of bivariate cointegration between domestic and foreign interest rates. We explain non-stationarity of the interest differential via central bank reactions to exchange rate...

In this paper we discuss identification of codependent VAR and VEC models. Codependence of order q is given if a linear combination of autocorrelated variables eliminates the serial correlation after q lags. Importantly, maximum likelihood estimation and corresponding likelihood ratio testing...