The period of the global financial crisis can be characterized by the spillover of negative innovations among stock markets worldwide. Stock markets in Central Europe were not excluded as they are not isolated from global stock markets. Recently published scientific studies dealing with this...

We introduce a method for measuring default risk connectedness of euro zone sovereign states using credit default swap (CDS) and bond data. The connectedness measure is based on an out-of-sample variance decomposition of model forecast errors. Due to its predictive nature, it can respond more...

We apply the Diebold-Yilmaz connectedness index methodology on sovereign credit default swaps (SCDSs) to estimate the network structure of global sovereign credit risk. In particular, using the elastic net estimation method, we separately estimate networks of daily SCDS returns and volatilities...

This paper analyzes sovereign risk shift-contagion, i.e. positive and significant changes in the propagation mechanisms, using bond yield spreads for the major eurozone countries. By emphasizing the use of two econometric approaches based on quantile regressions (standard quantile regression and...

This paper analyses the dynamics of the credit default swap (CDS) market of PIIGS, France, Germany and the UK for the period of 2005–2010. The study is performed on the basis of the Datastream and DTCC data on CDS spreads and the BIS data on cross-border exposures.The analysis of the data...

This paper addresses the following questions. Is there evidence of financial contagion in the Eurozone? To what extent a country's vulnerability to contagion depends on "fundamentals" as opposed the government's "credibility"? We look at the empirical evidence on European sovereigns CDS spreads...

This paper empirically investigates the transmission of systemic risk across the Euro Area by employing a Global VAR model. We find that a union aggregate systemic risk shock results in a sharp decline in output, with two thirds of the response to be attributed to cross-country spillovers. The...

This paper presents a variance decomposition method - factor analysis with Procrustes rotation - that is capable of separating the global, regional and idiosyncratic components of various financial market indicators. The method is applied to indicators of five key financial markets: sovereign...

We introduce a methodology for measuring default risk connectedness that is based on an out-of-sample variance decomposition of model forecast errors. The out-of-sample nature of the procedure leads to "realized" measures which, in practice, respond more quickly to crisis occurrences than those...