Evidence from a novel measure of democracy (SVMDI) based on Support Vector Machines highlights a robust positive relationship between democracy and economic growth. We argue that the ambiguity in recent studies can be traced back to the neglect of the information in the equation in levels and...

We present a novel approach for measuring democracy based on Support Vector Machines, a mathematical algorithm for pattern recognition. The Support Vector Machines Democracy Index (SVMDI) is continuously on the 0-1-interval and enables a very detailed measurement of democracy for 188 countries...

The financial crisis of 2007-09 began as a local problem in the mortgage finance market in the United States and Europe but, within months, escalated into a general global financial crisis, resulting in collapsing investment not just in developed nations but also in Shanghai, Rio and Mumbai, and...

Default probabilities (PDs) and correlations play a crucial role in the New Basel Capital Accord. In commercial credit risk models they are an important constituent. Yet, modeling and estimation of PDs and correlations is still under active discussion. We show how the Basel II one factor model...

In this paper we study the determinants of sovereign debt credit ratings using rating notations from the three main international rating agencies, for the period 1995-2005. We employ panel estimation and random effects ordered probit approaches to assess the explanatory power of several...

This study examines empirically whether corporate ratings by the credit rating agency Standard & Poor's reflect fundamental and publicly observable shocks to the credit quality of companies. This serves to assess the degree of information sensitivity of external ratings, and the timeliness of...