G2TT
来源类型Discussion paper
规范类型论文
来源IDDP12424
DP12424 Credit Market Spillovers: Evidence from a Syndicated Loan Market Network
Alexander Michaelides; Sotirios Kokas
发表日期2017-11-06
出版年2017
语种英语
摘要A large theoretical literature emphasizes the importance of financial networks, but empirical studies remain scarce. Due to overlapping bank portfolios, the syndicated loan market provides a natural setting to study financial networks. We exploit the tiered structure of syndicated loans to construct such a network and characterize quantitatively its evolution over time. A spatial autoregressive model provides an ideal methodological framework to estimate spillovers from this financial network to lending rates and quantities. We find that these spillovers are economically large, time-varying and can switch sign after major economic shocks. Moreover, we find that network complexity and uncertainty rise after a large negative shock. Counterfactual experiments confirm the quantitative importance of spillovers and network structure on lending rates and quantities and can be used to disentangle the effects arising from spillovers versus changes in network structure.
主题Financial Economics
关键词Financial networks Spillovers Cost of lending Spatial autoregression Syndicated loan market Complexity
URLhttps://cepr.org/publications/dp12424
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/541234
推荐引用方式
GB/T 7714
Alexander Michaelides,Sotirios Kokas. DP12424 Credit Market Spillovers: Evidence from a Syndicated Loan Market Network. 2017.
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