Illiquidity Comovement and Market Crisis.

IF 2.6 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Systems Science & Complexity Pub Date : 2022-01-01 Epub Date: 2022-08-03 DOI:10.1007/s11424-022-0299-1
Qingduo Zeng, Qiang Zhang, Shancun Liu, Yaodong Yang
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引用次数: 1

Abstract

This paper presents a rational expectation equilibrium model to explore how the financial contagion occurs between the unlinked markets that do not share common fundamentals. In the proposed model, the authors assume two of the three risky assets share no common fundamental factors, but are connected by one intermediate asset via cross fundamentals. Through this channel, investors transmit fundamental risk from one asset to another by dint of the cross fundamentals. This mechanism causes liquidity comovement and subsequently becomes a source of market crisis: Through the contagion mechanism, an initial liquidity shock in one asset can result in a drop tendency in liquidity and price informativeness for another asset. Such comovement in liquidity offers a new explanation for idiosyncratic assets in financial contagion.

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流动性不足与市场危机。
本文提出了一个理性预期均衡模型来探讨金融传染如何在没有共同基本面的不相关市场之间发生。在提出的模型中,作者假设三种风险资产中的两种没有共同的基本面因素,但通过交叉基本面被一个中间资产连接起来。通过这个渠道,投资者通过交叉基本面将基本风险从一种资产转移到另一种资产。这一机制导致流动性趋同,进而成为市场危机的根源:通过传染机制,一种资产的初始流动性冲击会导致另一种资产的流动性和价格信息性出现下降趋势。这种流动性的变动为金融传染中的特殊资产提供了一种新的解释。
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来源期刊
Journal of Systems Science & Complexity
Journal of Systems Science & Complexity 数学-数学跨学科应用
CiteScore
3.80
自引率
9.50%
发文量
90
审稿时长
6-12 weeks
期刊介绍: The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.
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