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
相关论文
共 50 条
  • [31] On the network topology of variance decompositions: Measuring the connectedness of financial firms
    Diebold, Francis X.
    Yilmaz, Kamil
    JOURNAL OF ECONOMETRICS, 2014, 182 (01) : 119 - 134
  • [32] Connectedness of financial institutions in Europe: A network approach across quantiles
    Deev, Oleg
    Lyocsa, Stefan
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 550
  • [33] Climate change attention and systemic financial risk: A TENET analysis
    Zhang, Cheng
    Li, Yana
    Liang, Shuo
    FINANCE RESEARCH LETTERS, 2025, 72
  • [34] International tail risk connectedness: Network and determinants
    Nguyen, Linh Hoang
    Lambe, Brendan John
    JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2021, 72
  • [35] Tail risk connectedness in clean energy and oil financial market
    Matteo Foglia
    Eliana Angelini
    Toan Luu Duc Huynh
    Annals of Operations Research, 2024, 334 : 575 - 599
  • [36] Tail risk connectedness in clean energy and oil financial market
    Foglia, Matteo
    Angelini, Eliana
    Toan Luu Duc Huynh
    ANNALS OF OPERATIONS RESEARCH, 2024, 334 (1-3) : 575 - 599
  • [37] Credit risk and financial integration: An application of network analysis
    Bhattacharya, Mita
    Inekwe, John Nkwoma
    Valenzuela, Maria Rebecca
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2020, 72
  • [38] The extreme risk connectedness of the new financial system: European evidence
    Pacelli, Vincenzo
    Miglietta, Federica
    Foglia, Matteo
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2022, 84
  • [39] Financial Risk Prediction and Analysis Based on Nonlinear Differential Equations
    Tang, Jianmin
    Joseph, Nympha
    El-Kanj, Nasser
    APPLIED MATHEMATICS AND NONLINEAR SCIENCES, 2022, 8 (01) : 1753 - 1760
  • [40] RELATIONSHIP BETWEEN STABILITY AND CONNECTEDNESS OF NONLINEAR-SYSTEMS
    SOMORJAI, RL
    GOSWAMI, DN
    NATURE, 1972, 236 (5348) : 466 - &