Abstract Interbank lending, network structure and default risk contagion
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Interbank lending, network structure and default risk contagion

机译:银行间贷款,网络结构和默认风险传染

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AbstractThis paper studies the default risk contagion in banking systems based on a dynamic network model with two different kinds of lenders’ selecting mechanisms, namely, endogenous selecting (ES) and random selecting (RS). From sensitivity analysis, we find that higher risk premium, lower initial proportion of net assets, higher liquid assets threshold, larger size of liquidity shocks, higher proportion of the initial investments and higher Central Bank interest rates all lead to severer default risk contagion. Moreover, the autocorrelation of deposits and lenders’ selecting probability have non-monotonic effects on the default risk contagion, and the effects differ under two mechanisms. Generally, the default risk contagion is much severer under RS mechanism than that of ES, because the multi-money-center structure generated by ES mechanism enables borrowers to borrow from more liquid banks with lower interest rates.Highlights?A dynamic network model for banking systems is proposed.?Two different kinds of lenders’ selecting mechanisms are considered.?The default risk
机译:<![cdata [ 抽象 本文研究的基础上选择机制的动态网络模型两种不同的贷款人,即内源性选择银行系统违约风险蔓延(es)和随机选择(rs)。从敏感性分析中,我们发现较高的风险溢价,净资产的初始比例较低,液体资产阈值更高,更大的流动性冲击,初始投资的比例较高,中央银行利率更高都导致违约风险蔓延。此外,存款的自相关和贷方选择概率对默认风险传染的非单调效应,并且效果在两个机制下不同。通常,默认风险传染是下RS机构比ES的多严重,因为由ES机构产生的多货币中心结构使得能够从多个液体银行借款人借与​​降低利率。​​ 突出显示 提出了银行系统的动态网络模型。 两种不同类型的贷款人的选择的考虑机制。 t他违约了风险

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