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Decentralized Clearing in Financial Networks

Péter Csóka and P. Jean-Jacques Herings

Corvinus Economics Working Papers (CEWP) from Corvinus University of Budapest

Abstract: We consider a situation in which agents have mutual claims on each other, summarized in a liability matrix. Agents' assets might be insufficient to satisfy their liabilities leading to defaults. In case of default, bankruptcy rules are used to specify the way agents are going to be rationed. A clearing payment matrix is a payment matrix consistent with the prevailing bankruptcy rules that satisfies limited liability and priority of creditors. Since clearing payment matrices and the corresponding values of equity are not uniquely determined, we provide bounds on the possible levels equity can take. Unlike the existing literature, which studies centralized clearing procedures, we introduce a large class of decentralized clearing processes. We show the convergence of any such process in finitely many iterations to the least clearing payment matrix. When the unit of account is sufficiently small, all decentralized clearing processes lead essentially to the same value of equity as a centralized clearing procedure. As a policy implication, it is not necessary to collect and process all the sensitive data of all the agents simultaneously and run a centralized clearing procedure.

Keywords: networks; bankruptcy problems; systemic risk; decentralized clearing; indivisibilities (search for similar items in EconPapers)
JEL-codes: C71 G10 (search for similar items in EconPapers)
Date: 2016-11-03
New Economics Papers: this item is included in nep-gth and nep-pay
References: Add references at CitEc
Citations: View citations in EconPapers (6)

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Related works:
Journal Article: Decentralized Clearing in Financial Networks (2018) Downloads
Working Paper: Decentralized Clearing in Financial Networks (2016) Downloads
Working Paper: Decentralized clearing in financial networks (2016) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:cvh:coecwp:2016/14

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