中国股市系统性风险及其溢出效应:一个行业分析

Fei Wu, Dayong Zhang, Zhiwei Zhang
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引用次数: 3

摘要

本文研究了中国股票市场的风险是如何在各个行业中扩散的。利用图论和最近开发的时间序列技术,我们能够确定市场中最重要的部门以及随着时间的推移,各个部门之间风险溢出的模式。与标准的计量经济学模型不同,图论使我们能够以一种更易于读者理解的方式来处理这个问题。实证结果表明,工业部门在中国股票市场中扮演着最重要的角色,因此应被视为中国股票市场的系统重要部门。发现外溢结构是时变的。虽然工业部门在大多数时间里主导着整个体系,但其他部门,如非必需消费品部门,偶尔也会作为核心部门出现。我们的实证结果还表明,简单的基于相关性的方法可以产生与更先进的计量经济模型同样有用的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systemic Risks and Spillovers in the Stock Market of China: A Sectoral Analysis
This paper investigates how risks spread across sectors of the stock market in China. Using graph theory and a recently developed time series technique, we are able to identify the most important sector in the market and the patterns of risk spillovers across sectors over time. Unlike the standard econometric modelling, the graph theory enables us to approach this question in a more reader-friendly way. Empirical results show that the industrial sector plays the most important role and should thus be considered a systemically important sector in the stock market of China. The spillover structure is found to be time-varying. While the industrial sector dominates the system for most of the time, other sectors, such as the consumer discretionary sector, also appear occasionally as the central sector. Our empirical results also indicate that the simple correlation based approach can produce equally useful information as the more advanced econometric models can.
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