Derivatives and Credit Contagion in Interconnected Networks
Sebastian Heise, Reimer Kuehn

TL;DR
This paper models credit default swap contagion in interconnected financial networks, revealing that CDS can increase systemic instability during economic stress, especially when used for loan expansion, challenging the notion of their risk-mitigating role.
Contribution
It introduces an exact stochastic model of credit default swap contagion in a stylized network, highlighting how CDS can amplify systemic risk under certain conditions.
Findings
CDS create additional contagion channels increasing systemic risk.
Loan book expansion with CDS can lead to higher default probabilities.
Systemic instability is heightened during economic stress when CDS are used for risk offloading.
Abstract
The importance of adequately modeling credit risk has once again been highlighted in the recent financial crisis. Defaults tend to cluster around times of economic stress due to poor macro-economic conditions, {\em but also} by directly triggering each other through contagion. Although credit default swaps have radically altered the dynamics of contagion for more than a decade, models quantifying their impact on systemic risk are still missing. Here, we examine contagion through credit default swaps in a stylized economic network of corporates and financial institutions. We analyse such a system using a stochastic setting, which allows us to exploit limit theorems to exactly solve the contagion dynamics for the entire system. Our analysis shows that, by creating additional contagion channels, CDS can actually lead to greater instability of the entire network in times of economic stress.…
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Taxonomy
TopicsBanking stability, regulation, efficiency · Credit Risk and Financial Regulations · Complex Systems and Time Series Analysis
