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温差与系统性风险:基于中国泛金融市场的 LASSO-VAR-DY 的证据。

Temperature difference and systemic risk: Evidence from LASSO-VAR-DY based on China's pan-financial market.

机构信息

School of Business Administration, Liaoning Technical University, Huludao, Liaoning, China.

出版信息

PLoS One. 2024 Mar 15;19(3):e0295575. doi: 10.1371/journal.pone.0295575. eCollection 2024.

Abstract

Climate change-induced pan-financial market and the contagion of systemic financial risks are becoming important issues in the financial sector. The paper measures the temperature difference in terms of the degree and direction of deviation of the actual temperature relative to the average temperature of the same historical period. Based on the high-dimensional time-series variable LASSO-VAR-DY framework, we construct a pan-financial market volatility correlation network consisting of 112 Chinese listed companies in banking, insurance, securities, real estate, traditional energy, and new energy, use eigenvector centrality to measure the systematic risk of each firm, and then empirically test the effect of temperature difference on systematic risk under pan-financial market scenario. The results of the study show that (ⅰ) There is a significant difference among the systemic risk of financial sectors such as banking, insurance, and securities in the financial market pan-financial market scenario and the systemic risk when the financial market pan-financial market is not taken into account;(ⅱ) Higher temperature significantly exacerbates systemic financial risk, while colder temperature significantly mitigates systemic risk, but both have an asymmetric effect on systemic risk, and there is sectoral heterogeneity.(ⅲ) From the dynamic evolutionary characteristics, there are significant differences in the response of systemic financial risk to positive and negative temperature shocks;(iv) The results of the systemic risk variance decomposition indicate that the temperature change contributes more to the variance of systemic risk in the banking and securities sectors in pan-financial market;(ⅴ) The contagion source of financial systemic risk shows an obvious path of leaping and changing characteristics, and the contagion source of systemic risk (source of impact) shows the evolution law of "bank → real estate → new energy → temperature difference," which means that the temperature difference has become the contagion source of systemic financial risk. This study provides a reference for preventing and resolving systemic risks under pan-financial market scenario and provides a basis for improving the current macroprudential regulatory framework.

摘要

气候变化引发的泛金融市场和系统性金融风险的传染正在成为金融领域的重要问题。本文以实际温度相对于同一历史时期平均温度的偏离程度和方向来衡量温差。基于高维时间序列变量 LASSO-VAR-DY 框架,构建了一个由 112 家上市银行、保险、证券、房地产、传统能源和新能源组成的泛金融市场波动率相关网络,使用特征向量中心度来衡量每家公司的系统性风险,然后实证检验了在泛金融市场情景下温差对系统性风险的影响。研究结果表明:(ⅰ)在金融市场泛金融市场情景下,银行、保险和证券等金融部门的系统性风险与不考虑金融市场泛金融市场时的系统性风险存在显著差异;(ⅱ)较高的温度显著加剧了系统性金融风险,而较低的温度显著减轻了系统性风险,但两者对系统性风险的影响不对称,且存在部门异质性;(ⅲ)从动态演化特征来看,系统性金融风险对正、负温度冲击的响应存在显著差异;(iv)系统性风险方差分解结果表明,温度变化对泛金融市场中银行和证券部门系统性风险的方差贡献更大;(ⅴ)金融系统性风险的传染源呈现出跳跃和变化的明显特征,系统性风险的传染源(影响源)呈现出“银行→房地产→新能源→温差”的演变规律,这意味着温差已经成为系统性金融风险的传染源。本研究为在泛金融市场情景下防范和化解系统性风险提供了参考,为完善现行宏观审慎监管框架提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1246/10942056/63b2ba548ffa/pone.0295575.g001.jpg

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