流动性网络、互联性与银行间信息不对称

Celso Brunetti, J. Harris, Shawn Mankad
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引用次数: 0

摘要

网络分析表明,市场参与者之间的相互联系导致溢出效应,放大或吸收冲击,并产生最终影响市场健康的其他非线性效应。本文提出了一种新的定向网络结构——流动性网络,通过连接交易的发起方和被动方来捕捉交易的紧迫性。除了连接卖方和买方的传统交易网络外,我们还展示了两种网络类型的互补:流动性网络揭示了有价值的信息,特别是当市场中的信息不对称很高时,并提供了隔夜贷款市场互联性的更全面特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Liquidity Networks, Interconnectedness, and Interbank Information Asymmetry
Network analysis has demonstrated that interconnectedness among market participants results in spillovers, amplifies or absorbs shocks, and creates other nonlinear effects that ultimately affect market health. In this paper, we propose a new directed network construct, the liquidity network, to capture the urgency to trade by connecting the initiating party in a trade to the passive party. Alongside the conventional trading network connecting sellers to buyers, we show both network types complement each other: Liquidity networks reveal valuable information, particularly when information asymmetry in the market is high, and provide a more comprehensive characterization of interconnectivity in the overnight-lending market.
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