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A dynamic network model of the unsecured interbank lending market

机译:无抵押银行间同业拆借市场的动态网络模型

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We introduce a dynamic network model of interbank lending and estimate the parameters by indirect inference using network statistics of the Dutch interbank market from February 2008 to April 2011. We find that credit-risk uncertainty and peer monitoring are significant factors in explaining the sparse core-periphery structure of the market and the presence of relationship lending. Shocks to credit-risk uncertainty lead to extended periods of low market activity, intensified by reduced peer monitoring. Moreover, changes in the central bank's interest rate corridor have both a direct effect on the market as well as an indirect effect by changing banks' monitoring efforts. (C) 2018 Elsevier B.V. All rights reserved.
机译:我们引入了动态的银行间同业拆借网络模型,并使用2008年2月至2011年4月荷兰同业拆借市场的网络统计数据通过间接推断来估算参数。我们发现,信用风险的不确定性和同业监督是解释稀疏核心的重要因素,市场外围结构和关系贷款的存在。信贷风险不确定性带来的冲击导致市场活动持续时间延长,而同行监测减少了。此外,中央银行利率走廊的变化既对市场产生直接影响,也通过改变银行的监管力度而产生间接影响。 (C)2018 Elsevier B.V.保留所有权利。

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