We propose a novel approach to modelling structural changes in asset returns correlations. Our framework allows for breaks of different type in the conditional and unconditional correlation components by capturing abrupt regime switches in the short-run correlations and smooth transitions...

We address the issue of estimation and inference in dependent non-stationary panels of small cross-section dimensions. The main conclusion is that the best results are obtained applying bootstrap inference to single-equation estimators, such as FM-OLS and DOLS. SUR estimators perform badly, or...

The authors address the issue of estimation and inference in dependent non-stationary panels of small cross-section dimensions. The main conclusion is that the best results are obtained applying bootstrap inference to single-equation estimators, such as fully modified ordinary least squares and...

We examine whether investors herd in their decision to order new or scrap old vessels in the drybulk market. Our paper is seminal as herd behavior in the shipping markets has not been previously investigated. We decompose herding into unintentional and intentional, and test for herd behavior...