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Tail risk spillovers between economic policy uncertainty and stock market returns: Evidence based on TENET approach

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  • Mo, Tingcheng
  • Huangmei, Mengmeng
  • Chen, Hong
  • Li, Kelong
  • Ouyang, Yingbo

Abstract

We construct a tail-event-driven network (TENET) to explore the tail risk spillovers between economic policy uncertainty (EPU) and stock market returns (SMR) at three levels: system, region and country. The empirical results show that (i) when major emergencies occur, the tail risk spillovers increase rapidly; (ii) the spillover effects from EPU to SMR are greater than those from SMR to EPU, indicating that EPU exerts a stronger influence; and (iii) both the EPU and SMR of America act as net risk senders, with the EPU of the United States playing a dominant role in the tail risk spillover network.

Suggested Citation

  • Mo, Tingcheng & Huangmei, Mengmeng & Chen, Hong & Li, Kelong & Ouyang, Yingbo, 2024. "Tail risk spillovers between economic policy uncertainty and stock market returns: Evidence based on TENET approach," Finance Research Letters, Elsevier, vol. 69(PB).
  • Handle: RePEc:eee:finlet:v:69:y:2024:i:pb:s1544612324012339
    DOI: 10.1016/j.frl.2024.106204
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    References listed on IDEAS

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    1. Härdle, Wolfgang Karl & Wang, Weining & Yu, Lining, 2016. "TENET: Tail-Event driven NETwork risk," Journal of Econometrics, Elsevier, vol. 192(2), pages 499-513.
    2. Ouyang, Zisheng & Zhou, Xuewei & Lai, Yongzeng, 2023. "Global stock markets risk contagion: Evidence from multilayer connectedness networks in the frequency domain," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    3. Huynh, Toan Luu Duc & Foglia, Matteo & Doukas, John A., 2022. "COVID-19 and Tail-event Driven Network Risk in the Eurozone," Finance Research Letters, Elsevier, vol. 44(C).
    4. Wang, Gang-Jin & Jiang, Zhi-Qiang & Lin, Min & Xie, Chi & Stanley, H. Eugene, 2018. "Interconnectedness and systemic risk of China's financial institutions," Emerging Markets Review, Elsevier, vol. 35(C), pages 1-18.
    5. Asgharian, Hossein & Christiansen, Charlotte & Hou, Ai Jun, 2023. "The effect of uncertainty on stock market volatility and correlation," Journal of Banking & Finance, Elsevier, vol. 154(C).
    6. Dai, Zhifeng & Peng, Yongxin, 2022. "Economic policy uncertainty and stock market sector time-varying spillover effect: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    7. French, Joseph J. & Li, Wei-Xuan, 2022. "Economic policy uncertainty and fund flows to the United States," Finance Research Letters, Elsevier, vol. 45(C).
    8. Lean, Hooi Hooi & Alkhazali, Osamah M. & Gleason, Kimberley & Yeap, Xiu Wei, 2024. "Connectedness and economic policy uncertainty spillovers to the ASEAN stock markets," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 167-186.
    9. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    10. Mamman, Suleiman O. & Wang, Zhanqin & Iliyasu, Jamilu, 2023. "Commonality in BRICS stock markets’ reaction to global economic policy uncertainty: Evidence from a panel GARCH model with cross sectional dependence," Finance Research Letters, Elsevier, vol. 55(PA).
    11. Liu, Peipei & Huang, Wei-Qiang, 2024. "Spatial analysis of sovereign risk from the perspective of EPU spillovers," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 427-443.
    12. Kundu, Srikanta & Paul, Amartya, 2022. "Effect of economic policy uncertainty on stock market return and volatility under heterogeneous market characteristics," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 597-612.
    13. Li, Rong & Li, Sufang & Yuan, Di & Chen, Hong & Xiang, Shilei, 2023. "Spillover effect of economic policy uncertainty on the stock market in the post-epidemic era," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    14. Raza, Syed Ali & Sharif, Arshian & Kumar, Satish & Ahmed, Maiyra, 2023. "Connectedness between monetary policy uncertainty and sectoral stock market returns: Evidence from asymmetric TVP-VAR approach," International Review of Financial Analysis, Elsevier, vol. 90(C).
    15. Gang-Jin Wang & Chi Xie & Kaijian He & H. Eugene Stanley, 2017. "Extreme risk spillover network: application to financial institutions," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1417-1433, September.
    16. Zeng, Qing & Tang, Yusui & Yang, Hua & Zhang, Xi, 2024. "Stock market volatility and economic policy uncertainty: New insight into a dynamic threshold mixed-frequency model," Finance Research Letters, Elsevier, vol. 59(C).
    17. Zi-Sheng Ouyang & Ying Huang & Yun Jia & Chang-Qing Luo, 2020. "Measuring Systemic Risk Contagion Effect of the Banking Industry in China: A Directed Network Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(6), pages 1312-1335, May.
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