Duality in financial networks

IF 1.1 3区 经济学 Q3 ECONOMICS
Games and Economic Behavior Pub Date : 2026-03-01 Epub Date: 2026-01-15 DOI:10.1016/j.geb.2026.01.002
Martijn W. Ketelaars, Peter Borm, P. Jean-Jacques Herings
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引用次数: 0

Abstract

This article introduces the concept of duality in financial networks, which entails the division of losses versus gains. In bankruptcy problems, in which a bankrupt entity divides its non-negative assets among a group of claimants, duality is well understood. Financial networks generalize bankruptcy problems by allowing for multiple agents with individual assets interconnected by mutual claims. We argue that allowing for negative assets is imperative to adequately formulate duality for financial networks. We show that there is a linear relationship between transfer schemes based on claims rules in a financial network and transfer schemes based on the dual of those claims rules in the dual financial network. Moreover, dual financial networks enable us to define dual transfer rules and dual allocation rules. We show that both self-dual transfer rules and self-dual allocation rules have to be based on self-dual claims rules. On the other hand, we demonstrate that transfer rules based on self-dual claims rules need not be self-dual, whereas allocation rules based on self-dual claims rules are always self-dual.
金融网络的二元性
本文介绍了金融网络中的对偶概念,即损失与收益的划分。在破产问题中,破产实体将其非负资产分配给一组索赔人,对偶性是很好的理解。金融网络通过允许多个代理通过相互索赔将个人资产相互连接来概括破产问题。我们认为,允许负资产是必要的,以充分制定金融网络的二元性。我们证明了在金融网络中基于索赔规则的转移方案与在对偶金融网络中基于索赔规则对偶的转移方案之间存在线性关系。此外,双重金融网络使我们能够定义双重转移规则和双重分配规则。我们证明了自对偶转移规则和自对偶分配规则都必须基于自对偶索赔规则。另一方面,我们证明了基于自对偶声明规则的转移规则不一定是自对偶的,而基于自对偶声明规则的分配规则总是自对偶的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.90
自引率
9.10%
发文量
148
期刊介绍: Games and Economic Behavior facilitates cross-fertilization between theories and applications of game theoretic reasoning. It consistently attracts the best quality and most creative papers in interdisciplinary studies within the social, biological, and mathematical sciences. Most readers recognize it as the leading journal in game theory. Research Areas Include: • Game theory • Economics • Political science • Biology • Computer science • Mathematics • Psychology
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