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Identifying Systemically Important Banks and Firms Based on a Multilayer DebtRank Model

机译:基于多层DebtRank模型识别具有系统重要性的银行和企业

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摘要

The stability of the financial system plays a crucial role in the sustainable economic development. Hence, to identify systemically important banks and firms, we take lending relationships with different loan terms and common asset relationships with different investment cycles into consideration to present a multilayer DebtRank model of the bank-firm system. In the light of simulation research, we can obtain the following results. First, the bank-firm system constructed displays a significant core-periphery structure, which exists in the actual financial system. Then, only very few banks and firms show systemically important characteristics, where "important" subjects hold very high net assets and profits, while "fragile" subjects possess negative net assets and serious losses. Furthermore, the bank-firm multilayer DebtRank model presents a great stability to a certain extent. Overall, the multilayer DebtRank model constructed in this paper has certain theoretical reference value for the supervisory authorities to extract the internal characteristics of systemically important banks and firms and identify them effectively.
机译:金融体系的稳定对经济的可持续发展起着至关重要的作用。因此,为了识别具有系统重要性的银行和企业,本文考虑了不同贷款期限的贷款关系和不同投资周期的共同资产关系,提出了银企体系的多层次DebtRank模型。结合仿真研究,我们可以得到以下结果。首先,所建构的银企体系呈现出显著的核心-外围结构,存在于实际金融体系中。然后,只有极少数银行和企业表现出系统重要性特征,其中“重要”主体拥有非常高的净资产和利润,而“脆弱”主体拥有负净资产和严重损失。此外,银行-企业多层DebtRank模型在一定程度上表现出较好的稳定性。综上所述,本文构建的多层DebtRank模型对监管机构提取系统重要性银行和企业内部特征并进行有效识别具有一定的理论参考价值。

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