Climate risk and financial systems: A nonlinear network connectedness analysis

被引:22
|
作者
Mao, Xiaodan [1 ]
Wei, Ping [2 ]
Ren, Xiaohang [2 ]
机构
[1] Changsha Univ Sci &Technol, Sch Econ & Management, Changsha 410076, Peoples R China
[2] Cent South Univ, Business Sch, Changsha 410083, Peoples R China
基金
中国国家自然科学基金;
关键词
Climate change; Climate risk; Systemic risk; Network estimation; Vector autoregression; Variance decomposition; IMPULSE-RESPONSE ANALYSIS; NATURAL DISASTERS; TIME-SERIES; STABILITY; STATISTICS; RETURNS; MARKETS; LEVEL; PRICE; OIL;
D O I
10.1016/j.jenvman.2023.117878
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To deeply analyze and understand the macro-financial impact of climate change, this paper investigates the effect of climate risk on systemic financial risks by employing a network approach. The results demonstrate that climate risk not only affects a single financial market but also induces risk co-movement, which aggravates potential systemic financial risks. Specifically, the system-wide connectedness across the financial system respectively increased by 2.52% and 1.76% after the withdrawal of the US from the Kyoto Protocol and the Copenhagen UN Climate Change Conference. The bond and stock markets are the primary transmitters of climate shocks, while the forex and commodity markets appear to be more sensitive to climate-related information. In addition, the vulnerability of financial asset price fluctuations to climate risk changes substantially over time. Quantile regressions reveal the positive impact of climate risk on total connectedness across the financial system. This study provides novel insight into how the financial system responds to climate-related information and how systemic risk dynamics materialize.
引用
收藏
页数:16
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