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Ranking Systemic Risks in Bank Networks

机译:对银行网络中的系统性风险进行排名

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摘要

The recent global financial tsunami (2007 - present) has swiped the whole world with disastrous consequences, leading to the bankruptcy of major banks, trillions of dollars in economic rescues, and major national economic failures. Unlike previous financial crisis, one major driver of this crisis is the contagious failures of banks through a network of interbank payments and correlated bank portfolios of financial products. The risk that the failure of a single bank can cause a cascading failure of other connected banks and may potentially bring down the entire banking system (network), is defined as systemic risk. Existing bank risk management research focused on the causes and impacts of systemic risk but largely ignored the monitoring and preventive mechanism. In this study, we developed a network-based algorithm to rank systemic risk of banks and financial products in the bank network. In addition, we extended the network model of banking system developed in previous systemic risk research and adopted this model in the evaluation experiment of our proposed algorithm. This algorithm may provide an effective mechanism for stakeholders in the banking industry to monitor and reduce systemic risk and thereby prevent system-wide breakdown in bank networks.
机译:最近的全球金融海啸(2007年至今)席卷了整个世界,造成了灾难性的后果,导致大型银行破产,数以万亿美元计的经济援助和重大的国民经济倒闭。与之前的金融危机不同,此次危机的主要驱动因素是银行通过银行间支付网络和相关的金融产品银行投资组合的传染性倒闭。单个银行的故障可能导致其他关联银行的级联故障并可能导致整个银行系统(网络)瘫痪的风险被定义为系统性风险。现有的银行风险管理研究集中于系统性风险的起因和影响,但很大程度上忽略了监控和预防机制。在这项研究中,我们开发了一种基于网络的算法来对银行和银行网络中的金融产品的系统风险进行排名。此外,我们扩展了以前的系统风险研究中开发的银行系统网络模型,并在我们提出的算法的评估实验中采用了该模型。该算法可以为银行业的利益相关者提供一种有效的机制,以监控和降低系统性风险,从而防止银行网络中的系统范围的故障。

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