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The paper analyses the contagion channels of the European financial system through the stochastic block model (SBM). The model groups homogeneous connectivity patterns among the financial institutions and describes the shock transmission mechanisms of the financial networks in a compact way. We analyse the global financial crisis and European sovereign debt crisis and show that the network exhibits a strong community structure with two main blocks acting as shock spreader and receiver, respectively. Moreover, we provide evidence of the prominent role played by insurances in the spread of systemic risk in both crises. Finally, we demonstrate that policy interventions focused on institutions with inter-community linkages (community bridges) are more effective than the ones based on the classical connectedness measures and represents consequently, a better early warning indicator in predicting future financial losses.
The aim of this paper is to examine what has been the role of information provision to the market throughout the crisis. We consider two main sources of information to the market, financial statements and information provided by credit rating agencies. We examine how these sources of information work and the effectiveness of their disclosure process during the crisis. Contrary to the commonly held view, fair value accounting did not have a major impact on the crisis development and severity. However, the structure and lack of accountability of credit rating agencies had a profound impact on their incentives, which may have jeopardized the accuracy of the whole rating process. We claim that the crisis experience has changed the way we think about information as well as market discipline and discuss policy implications and proposals for regulation. JEL Classification: G01, G24, G28, M41, M48
This paper examines the relationship between oil movements and systemic risk of financial institution in major petroleum-based economies. We estimate ΔCoVaR for those institutions and observe the presence of elevated increases in its levels corresponding to the subprime and global financial crises. The results provide evidence in favor of risk measurement improvements by accounting for oil returns in the risk functions. The spread between the standard CoVaR and the CoVaR that includes oil absorbs in a time range longer than the duration of the oil shock. This indicates that the drop in the oil price has a longer effect on risk and requires more time to be discounted by the financial institutions. To support the analysis, we consider also the other major market-based systemic risk measures.
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