The Network of Counterparty Risk: Analysing Correlations in OTC Derivatives
Vahan Nanumyan, Antonios Garas, Frank Schweitzer

TL;DR
This paper reconstructs and analyzes the network of counterparty risk in the US OTC derivatives market from 1998 to 2012, revealing a core-periphery structure with clustering of risk among key institutions.
Contribution
It introduces a novel network reconstruction method based on activity co-occurrence and topology, uncovering the structure and dependencies of counterparty risk in OTC derivatives.
Findings
Risk clusters around a dozen US banks.
Core institutions exhibit strong activity correlations.
Peripheral institutions' risk depends on core institutions.
Abstract
Counterparty risk denotes the risk that a party defaults in a bilateral contract. This risk not only depends on the two parties involved, but also on the risk from various other contracts each of these parties holds. In rather informal markets, such as the OTC (over-the-counter) derivative market, institutions only report their aggregated quarterly risk exposure, but no details about their counterparties. Hence, little is known about the diversification of counterparty risk. In this paper, we reconstruct the weighted and time-dependent network of counterparty risk in the OTC derivatives market of the United States between 1998 and 2012. To proxy unknown bilateral exposures, we first study the co-occurrence patterns of institutions based on their quarterly activity and ranking in the official report. The network obtained this way is further analysed by a weighted k-core decomposition, to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
