Showing 1 - 10 of 10
Financial crisis can trigger policy reversals, i.e. they can lead to a process of re- regulation of financial markets. Using a recent comprehensive dataset on financial liberalization across 94 countries for the period between 1973 and 2015, we formally test the validity of this prediction for...
Persistent link: https://www.econbiz.de/10012022690
We study the impact of changes in regulations and policy interventions on systemic risk among European sovereigns measured as volatility spillovers in respective credit risk markets. Our unique intraday CDS dataset allows for precise measurement of the effectiveness of these events in a network...
Persistent link: https://www.econbiz.de/10011958261
We study the impact of changes in regulations and policy interventions on systemic risk among European sovereigns measured as volatility spillovers in respective credit risk markets. Our unique intraday CDS dataset allows for precise measurement of the effectiveness of these events in a network...
Persistent link: https://www.econbiz.de/10011992508
Persistent link: https://www.econbiz.de/10012205675
Persistent link: https://www.econbiz.de/10012214043
Persistent link: https://www.econbiz.de/10012170906
We propose a framework for estimating time-varying systemic risk contributions that is applicable to a high-dimensional and interconnected financial system. Tail risk dependencies and systemic risk contributions are estimated using a penalized two-stage fixed-effects quantile approach, which...
Persistent link: https://www.econbiz.de/10011414705
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...
Persistent link: https://www.econbiz.de/10010503874
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...
Persistent link: https://www.econbiz.de/10011958223
We propose a framework for estimating network-driven time-varying systemic risk contributions that is applicable to a high-dimensional financial system. Tail risk dependencies and contributions are estimated based on a penalized two-stage fixed-effects quantile approach, which explicitly links...
Persistent link: https://www.econbiz.de/10010411283