A novel algorithm for clearing financial obligations between companies - an application within the Romanian Ministry of Economy

IF 0.3 Q4 BUSINESS, FINANCE
Lucian-Ionut Gavrila, Alexandru Popa
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引用次数: 3

Abstract

The concept of clearing or netting, as defined in the glossaries of European Central Bank, has a great impact on the economy of a country influencing the exchanges and the interactions between companies. On short, netting refers to an alternative to the usual way in which the companies make the payments to each other: it is an agreement in which each party sets off amounts it owes against amounts owed to it. Based on the amounts two or more parties owe between them, the payment is substituted by a direct settlement. In this paper we introduce a set of graph algorithms which provide optimal netting solutions for the scale of a country economy. The set of algorithms computes results in an efficient time and is tested on invoice data provided by the Romanian Ministry of Economy. Our results show that classical graph algorithms are still capable of solving very important modern problems.
一种新的公司间财务债务清算算法——在罗马尼亚经济部的应用
欧洲央行术语表中定义的清算或净额结算概念对一个国家的经济有很大影响,影响着公司之间的交流和互动。简言之,净额结算是指公司相互付款的一种替代方式:这是一种协议,各方将其所欠金额与所欠金额进行抵销。根据双方或多方之间的欠款,付款由直接结算取代。在本文中,我们介绍了一组图算法,它们为一个国家的经济规模提供了最优的网络解决方案。这套算法在有效的时间内计算结果,并在罗马尼亚经济部提供的发票数据上进行了测试。我们的结果表明,经典的图算法仍然能够解决非常重要的现代问题。
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来源期刊
Algorithmic Finance
Algorithmic Finance BUSINESS, FINANCE-
CiteScore
0.40
自引率
0.00%
发文量
6
期刊介绍: Algorithmic Finance is both a nascent field of study and a new high-quality academic research journal that seeks to bridge computer science and finance. It covers such applications as: High frequency and algorithmic trading Statistical arbitrage strategies Momentum and other algorithmic portfolio management Machine learning and computational financial intelligence Agent-based finance Complexity and market efficiency Algorithmic analysis of derivatives valuation Behavioral finance and investor heuristics and algorithms Applications of quantum computation to finance News analytics and automated textual analysis.
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