We analyze the distribution of economic activity across space for different types of activity and different levels of aggregation. Not only is this distribution highly uneven (independently of the type of activity and level of aggregation), it is also remarkably regular regarding its size...

We investigate the information content of stock correlation based network measures for systemic risk rankings, such as SIFIRank (based on Google's PageRank). Using European banking data, we first show that SIFIRank is empirically equivalent to a ranking based on average pairwise stock...

By combining two large data sets (on international trade flows and cross-border mergers and acquisitions - M&As), we test two implications of Neary’s (2003, 2007) general oligopolistic equilibrium (GOLE) model (incorporating strategic interaction between firms in a general equilibrium...

We combine the resource curse literature with the literature on cross-border mergers and acquisitions (M&As) to investigate two hypotheses, namely (i) natural resources wealth: countries with a comparative advantage in natural resources attract more M&As in natural resource intensive sectors and...

We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic...

Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...