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The Impact of Financial Stress on New Energy Vehicles Industry from Cross-correlation to Explainable Machine Learning: Proof from China

Author

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  • Xingyue Gong

    (Sichuan Normal University
    Southwest Jiaotong University)

  • Guozhu Jia

    (Sichuan Normal University)

Abstract

This paper employed a combination of the multifractal detrended cross-correlation analysis (MFDCCA) method and interpretable machine learning methods to investigate the correlation between financial stress and the volatility of new energy vehicles stock at both macro and micro levels. The multifractal detrended cross-correlation analysis (MFDCCA) method reveals a significant anti-persistent cross-correlation. Seven benchmark models are applied to identify the contribution of financial stress and its sub-indicators on predicting of the new energy vehicles stock market volatility, while the impact of financial stress on the new energy vehicles industry during the US–China trade war, COVID-19 pandemic, and Russia–Ukraine conflict is explored. Results suggest that financial stress can improve forecasting performance, with support vector regression (SVR) outperforming other models in accuracy, stability, and robustness. SHapley Additive exPlanations (SHAP) is used to explain forecasts, and the empirical analysis reveals that the contributions of financial stress exhibit heterogeneity under different periods. The study’s results can help policymakers, regulators and investors in identifying the current financial risks in the new energy vehicle industry and formulating relevant policies to help its sustainable development by regulating financial stress during various crisis events.

Suggested Citation

  • Xingyue Gong & Guozhu Jia, 2025. "The Impact of Financial Stress on New Energy Vehicles Industry from Cross-correlation to Explainable Machine Learning: Proof from China," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3723-3749, June.
    • Handle: RePEc:kap:compec:v:65:y:2025:i:6:d:10.1007_s10614-024-10688-0
    DOI: 10.1007/s10614-024-10688-0
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    1. Ozcelebi, Oguzhan, 2020. "Assessing the impacts of financial stress index of developed countries on the exchange market pressure index of emerging countries," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 288-302.
    2. Hongxing Yao & Yanyu Lu & Bilal Ahmed Memon, 2019. "Impact of US-China Trade War on the Network Topology Structure of Chinese Stock Market," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 9(2), pages 235-250, December.
    3. Stona, Filipe & Morais, Igor A.C. & Triches, Divanildo, 2018. "Economic dynamics during periods of financial stress: Evidences from Brazil," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 130-144.
    4. Dai, Zhifeng & Zhu, Haoyang & Zhang, Xinhua, 2022. "Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle," Energy Economics, Elsevier, vol. 109(C).
    5. Gupta, Rangan & Kanda, Patrick & Tiwari, Aviral Kumar & Wohar, Mark E., 2019. "Time-varying predictability of oil market movements over a century of data: The role of US financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Das, Debojyoti & Kumar, Surya Bhushan & Tiwari, Aviral Kumar & Shahbaz, Muhammad & Hasim, Haslifah M., 2018. "On the relationship of gold, crude oil, stocks with financial stress: A causality-in-quantiles approach," Finance Research Letters, Elsevier, vol. 27(C), pages 169-174.
    7. Saban Nazlioglu & Shawkat Hammoudeh & Rangan Gupta, 2015. "Volatility transmission between Islamic and conventional equity markets: evidence from causality-in-variance test," Applied Economics, Taylor & Francis Journals, vol. 47(46), pages 4996-5011, October.
    8. Phillip J. Monin, 2019. "The OFR Financial Stress Index," Risks, MDPI, vol. 7(1), pages 1-21, February.
    9. Hongxing Yao & Yanyu Lu & Bilal Ahmed Memon, 2019. "Impact of US-China Trade War on the Network Topology Structure of Chinese Stock Market," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 9(2), pages 235-250.
    10. Das, Debojyoti & Kannadhasan, M. & Bhattacharyya, Malay, 2019. "Do the emerging stock markets react to international economic policy uncertainty, geopolitical risk and financial stress alike?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 1-19.
    11. Zhao, Xiaojun & Shang, Pengjian & Zhao, Chuang & Wang, Jing & Tao, Rui, 2012. "Minimizing the trend effect on detrended cross-correlation analysis with empirical mode decomposition," Chaos, Solitons & Fractals, Elsevier, vol. 45(2), pages 166-173.
    12. Illing, Mark & Liu, Ying, 2006. "Measuring financial stress in a developed country: An application to Canada," Journal of Financial Stability, Elsevier, vol. 2(3), pages 243-265, October.
    13. Liu, Ya & Qiu, Buhui & Wang, Teng, 2021. "Debt rollover risk, credit default swap spread and stock returns: Evidence from the COVID-19 crisis," Journal of Financial Stability, Elsevier, vol. 53(C).
    14. M. Karanasos & S. Yfanti & J. Hunter, 2022. "Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises," Annals of Operations Research, Springer, vol. 313(2), pages 1077-1116, June.
    15. Zhang, Hongwei & Wang, Peijin, 2021. "Does Bitcoin or gold react to financial stress alike? Evidence from the U.S. and China," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 629-648.
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