Centralized clearing mechanisms: A programming approach

P. Csóka, P. Herings
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引用次数: 0

Abstract

We consider financial networks where agents are linked to each other by financial contracts. A centralized clearing mechanism collects the initial endowments, the liabilities and the division rules of the agents and determines the payments to be made. A division rule specifies how the assets of the agents should be rationed. Since payments made depend on payments received, we are looking for solutions to a system of equations. The set of solutions is known to have a lattice structure, leading to the existence of a least and a greatest clearing payment matrix. Previous research has shown how decentralized clearing selects the least clearing payment matrix. We present a centralized approach towards clearing in order to select the greatest clearing payment matrix. To do so, we formulate the determination of the greatest clearing payment matrix as a programming problem. When agents use proportional division rules, this programming problem corresponds to a linear programming problem. We show that for other common division rules, it can be written as an integer linear programming problem.
集中清理机制:一种编程方法
我们考虑的是金融网络,其中代理人通过金融合同相互联系。集中清算机制收集代理的初始禀赋、负债和划分规则,并决定支付。划分规则指定如何分配代理的资产。由于付款取决于收到的付款,我们正在寻找方程组的解决方案。已知解集具有晶格结构,导致存在最小和最大清算支付矩阵。先前的研究表明,去中心化清算如何选择最小的清算支付矩阵。我们提出了一种集中的清算方法,以选择最大的清算支付矩阵。为此,我们将最大清算支付矩阵的确定表述为一个规划问题。当智能体使用比例划分规则时,该规划问题对应于线性规划问题。我们证明了对于其他常见的除法规则,它可以写成整数线性规划问题。
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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