This paper re-examines the issue of business cycle synchronization between the Central and East European countries (CEECs) and the Euro-area using threshold seemingly unrelated regressions. This new technique is useful in two ways. First, it takes into account contemporaneous linkages among the...

We provide evidence on the nature of co-movement in monthly US and UK stock returns by investigating time-varying correlations in returns since 1980. There is a marked increase in correlations between these markets around 2000, which we attribute to globalization and model with a time-varying...

We use historical data that cover more than one century on real GDP for industrial countries and employ the Pesaran panel unit root test that allows for cross-sectional dependence to test for a unit root on real GDP. At first, we find strong evidence against the unit root null. Our results seem...

This article proposes time-varying nonparametric and semiparametric estimators of the conditional cross-correlation matrix in the context of portfolio allocation. Simulations results show that the nonparametric and semiparametric models are best in DGPs with substantial variability or structural...

We use historical data that cover more than one century on real GDP for industrial countries and employ the Pesaran panel unit root test that allows for cross-sectional dependence to test for a unit root on real GDP. At first, we find strong evidence against the unit root null. Our results seem...

This paper adopts quantile regressions to scrutinize the realized stock-bond correlation based upon high frequency returns. The paper provides in-sample and out-of-sample analysis and considers a large number of macro-?nance predictors well-know from the return predictability literature. Strong...

This paper adopts dynamic factor models with macro-fi?nance predictors to revisit the intertemporal risk-return relation in ?five large European stock markets. We identify country specifi?c, Euro area, and global factors to determine the conditional moments of returns considering the role of...

This article proposes a time-varying nonparametric estimator and a time-varying semiparametric estimator of the correlation matrix. We discuss representation, estimation based on kernel smoothing and inference. An extensive Monte Carlo simulation study is performed to compare the semiparametric...