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Evaluating financial contagion through Ricci curvature on multivariate reactive point processes

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Listed:
  • Jiang, Haotong
  • Zhao, Mingen
  • Zhang, Zirui
  • Luo, Tianyuan

Abstract

Financial asset prices are complexly interconnected, posing a challenge in developing effective indicators for contagion. We establish a network structure among financial entities using a multivariate reactive point process. We propose the Ricci curvature of the general point process to measure changes in risk connectivity. A more negative overall curvature indicates higher risk connectivity among entities, reflecting the likelihood of systemic financial risk. In predicting systemic financial, empirical analysis demonstrates that our approach outperforms risk traditional indicators: CATFIN and absorption ratio. During non-alert periods of our indicator, return rates exhibit higher concentration, higher average returns, and left skewness.

Suggested Citation

  • Jiang, Haotong & Zhao, Mingen & Zhang, Zirui & Luo, Tianyuan, 2023. "Evaluating financial contagion through Ricci curvature on multivariate reactive point processes," Finance Research Letters, Elsevier, vol. 58(PA).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323006207
    DOI: 10.1016/j.frl.2023.104248
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    References listed on IDEAS

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    1. Sreejith, R.P. & Jost, Jürgen & Saucan, Emil & Samal, Areejit, 2017. "Systematic evaluation of a new combinatorial curvature for complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 101(C), pages 50-67.
    2. Brunetti, Celso & Harris, Jeffrey H. & Mankad, Shawn & Michailidis, George, 2019. "Interconnectedness in the interbank market," Journal of Financial Economics, Elsevier, vol. 133(2), pages 520-538.
    3. Roberto Rigobón & Kristin Forbes, 2001. "Contagion in Latin America: Definitions, Measurement, and Policy Implications," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-46, January.
    4. Saucan, Emil & Sreejith, R.P. & Vivek-Ananth, R.P. & Jost, Jürgen & Samal, Areejit, 2019. "Discrete Ricci curvatures for directed networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 347-360.
    5. Zhang, Heming & Wang, Guanying, 2021. "Reversal effect and corporate bond pricing in China," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
    6. Zaremba, Adam & Kizys, Renatas & Raza, Muhammad Wajid, 2020. "The long-run reversal in the long run: Insights from two centuries of international equity returns," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 177-199.
    7. Linda Allen & Turan G. Bali & Yi Tang, 2012. "Does Systemic Risk in the Financial Sector Predict Future Economic Downturns?," The Review of Financial Studies, Society for Financial Studies, vol. 25(10), pages 3000-3036.
    8. Marten Scheffer & Jordi Bascompte & William A. Brock & Victor Brovkin & Stephen R. Carpenter & Vasilis Dakos & Hermann Held & Egbert H. van Nes & Max Rietkerk & George Sugihara, 2009. "Early-warning signals for critical transitions," Nature, Nature, vol. 461(7260), pages 53-59, September.
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