The European debt crisis has revealed serious deficiencies and risks on a proper functioning of the monetary union. Against this backdrop, early warning systems are of crucial importance. In this study that focuses on euro area member states, the robustness of early warning systems to predict...

Alphabetic name ordering on multi-authored academic papers_new, which is the convention in theeconomics discipline and various other disciplines, is to the advantage of people whose lastname initials are placed early in the alphabet. As it turns out, Professor A, who has been afirst author more...

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...

In the shadow of homeownership and public housing, social policy through the regulation of private rental markets is a neglected and underestimated field of social policy. This paper, therefore, presents unique new data on the development of private tenancy legislation through the binary coding...

This paper analyses the long-memory properties of high frequency financial time series. It focuses on temporal aggregation and the influence that this might have on the degree of dependence of the series. Fractional integration or I(d) models are estimated with a variety of specifications for...