Short-term Capital Inflows and Banking Systemic Risk

Shaoheng Zhan
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Abstract

Based on stock data of listed banking companies, this article uses the Copula-CoVaR method to estimate banking systemic risk. Study has found that local and non-state-owned large banks are susceptible by negative impacts and greater the financial market risk spillovers. Research has calculated the scale of short-term cross-border capital inflows per quarter from 2010 to 2020 and found that short-term cross-border capital inflows have a positive impact on the improvement of banking systemic risk, and it will amplify its impact through real estate market fluctuations. The policy implication of the article is to pay attention to the use of macro prudential policy tools, guide cross-border capital inflows, avoid the aggregation of high-risk assets such as the real estate market, prevent risk accumulation, and prevent and resolve major systemic financial risks.
短期资本流入与银行系统风险
本文以银行业上市公司的股票数据为基础,采用 Copula-CoVaR 方法估计银行业系统性风险。研究发现,地方银行和非国有大型银行容易受到负面影响,金融市场风险溢出效应较大。研究计算了 2010-2020 年每季度短期跨境资本流入规模,发现短期跨境资本流入对银行系统性风险的改善有积极影响,并会通过房地产市场波动放大其影响。文章的政策含义是注意运用宏观审慎政策工具,引导跨境资本流入,避免房地产市场等高风险资产聚集,防止风险累积,防范和化解重大系统性金融风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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