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                                                                                    Working Paper
                                                                                
                                            Systemic risk analysis using forward-looking distance-to-default series
                                        
                                        
                                        
                                        
                                                                                    
                                                                                                    Based on contingent claims theory, this paper develops a method to monitor systemic risk in the European banking system. Aggregated Distance-to-Default series are generated using option prices information from systemically important banks and the DJ STOXX Banks Index. These indicators provide methodological advantages in monitoring vulnerabilities in the banking system over time: 1) they capture interdependences and joint risk of distress in systemically important banks; 2) their forward-looking feature endow them with early signaling properties compared to traditional approaches in the ...
                                                                                                
                                            
                                                                                
                                    
                                                                                    Working Paper
                                                                                
                                            Spatial Dependence and Data-Driven Networks of International Banks
                                        
                                        
                                        
                                        
                                                                                    
                                                                                                    This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks? exposures. Our analysis validates these ...