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Can ESG Integration Enhance the Stability of Disruptive Technology Stock Investments? Evidence from Copula-Based Approaches

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Listed:
  • Poshan Yu

    (Business School, Soochow University, Suzhou 215006, China)

  • Haoran Xu

    (Independent Researcher, Suzhou 215006, China)

  • Jianing Chen

    (Independent Researcher, Suzhou 215006, China)

Abstract

This paper provides an investigation into the dependence structure among different disruptive technology sectors driving the Fourth Industrial Revolution and scrutinizes the impact of ESG integration on shaping investments in different tech stock sectors in the presence of ESG consideration, represented by the ESG stock index, versus without specific ESG consideration, represented by the general stock index. The results show that (i) C-vine outperforms R-vine and D-vine when modeling the dependence structure of tech sectors. Intelligent infrastructure is the most crucial sector, with substantial reliance on smart transportation and advanced manufacturing. (ii) ESG integration reduces dependence, especially tail dependence, between tech sectors and the stock market, which benefits the future security sector the most and future communication the least. (iii) ESG integration mitigates risk spillover between tech sectors and the stock market, particularly benefiting final frontiers and intelligent infrastructure. The decrease in downside spillover is more significant compared to upside scenarios. For downside risk, spillover from tech sectors to stock indices is more reduced than the reverse, while the opposite holds for upside risk. These sectoral findings offer insights for market participants in financial market investments, financial regulators in risk management, and listed companies in ESG disclosure.

Suggested Citation

  • Poshan Yu & Haoran Xu & Jianing Chen, 2024. "Can ESG Integration Enhance the Stability of Disruptive Technology Stock Investments? Evidence from Copula-Based Approaches," JRFM, MDPI, vol. 17(5), pages 1-29, May.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:5:p:197-:d:1392836
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    References listed on IDEAS

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    1. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    2. Ding, Hao & Ji, Qiang & Ma, Rufei & Zhai, Pengxiang, 2022. "High-carbon screening out: A DCC-MIDAS-climate policy risk method," Finance Research Letters, Elsevier, vol. 47(PA).
    3. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2023. "Insights of energy and its trade networking impacts on sustainable economic development," Energy, Elsevier, vol. 265(C).
    4. Dai, Yun-Shi & Dai, Peng-Fei & Zhou, Wei-Xing, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    5. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
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