Network-Based Measures of Systemic Risk in Korea

Jaewon Choi, Jieun Lee
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引用次数: 2

Abstract

The authors estimate systemic risk in the Korean economy using the econometric measures of commonality and connectedness applied to stock returns. To assess potential systemic risk concerns arising from the high concentration of the economy in large business groups and a few export-oriented sectors, the authors perform three levels of estimation using individual stocks, business groups, and industry returns. The results show that the measures perform well over the study’s sample period by indicating heightened levels of commonality and interconnectedness during crisis periods. In out-of-sample tests, the measures can predict future losses in the stock market during the crises. The authors also provide the recent readings of their measures at the market, chaebol, and industry levels. Although the measures indicate systemic risk is not a major concern in Korea, as they tend to be at the lowest level since 1998, there is an increasing trend in commonality and connectedness since 2017. Samsung and SK exhibit increasing degrees of commonality and connectedness, perhaps because of their heavy dependence on a few major member firms. Commonality in the finance industry has not subsided since the financial crisis, suggesting that systemic risk is still a concern in the banking sector.
韩国基于网络的系统性风险测度
作者使用适用于股票回报的共性和连通性的计量经济学措施来估计韩国经济的系统性风险。为了评估由于经济高度集中于大型企业集团和少数出口导向型部门而引起的潜在系统性风险问题,作者使用个股、企业集团和行业回报进行了三个层次的估计。结果表明,这些措施在研究的样本期内表现良好,表明危机期间的共性和互联性水平有所提高。在样本外测试中,这些指标可以预测危机期间股市的未来损失。作者还提供了最近在市场、财阀和行业层面的读数。虽然这些指标表明,韩国的系统性风险往往处于1998年以来的最低水平,不是主要问题,但自2017年以来,共性和连通性呈上升趋势。三星和SK表现出越来越多的共性和联系,也许是因为它们严重依赖于几个主要成员公司。自金融危机以来,金融业的共性并未消退,这表明系统性风险仍是银行业的一个担忧。
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