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Macroeconomic attention, economic policy uncertainty, and stock volatility predictability

Author

Listed:
  • Feng Ma
  • Yangli Guo
  • Julien Chevallier

    (LED - Laboratoire d'Economie Dionysien - UP8 - Université Paris 8 Vincennes-Saint-Denis)

  • Dengshi Huang

Abstract

No abstract is available for this item.

Suggested Citation

  • Feng Ma & Yangli Guo & Julien Chevallier & Dengshi Huang, 2022. "Macroeconomic attention, economic policy uncertainty, and stock volatility predictability," Post-Print halshs-04250304, HAL.
    • Handle: RePEc:hal:journl:halshs-04250304
    DOI: 10.1016/j.irfa.2022.102339
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    Citations

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    Cited by:

    1. Chen, Yan & Zhang, Lei & Zhang, Feipeng, 2024. "Forecasting crude oil volatility and stock volatility: New evidence from the quantile autoregressive model," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
    2. Zhong, Juandan & Cao, Wenhan & Tang, Yusui, 2023. "Tail risk of international equity market and oil volatility," Finance Research Letters, Elsevier, vol. 58(PA).
    3. Ma, Rui & Xie, Xiao qin & Liu, Bin & Zhou, Fengjiao & Samsurijan, Mohamad Shaharudin bin, 2023. "Transmission to green economic development and the dependence on natural resources in China," Resources Policy, Elsevier, vol. 86(PB).
    4. Yu, Miao, 2023. "Forecasting Sector-Level Stock Market Volatility: The Role of World Uncertainty Index," Finance Research Letters, Elsevier, vol. 58(PC).
    5. Li, Dakai, 2024. "Forecasting stock market realized volatility: The role of investor attention to the price of petroleum products," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 115-122.
    6. Huang, Hong-Gia & Tsai, Wei-Che & Yang, J. Jimmy, 2024. "Trading activity of VIX futures and options around FOMC announcements," International Review of Financial Analysis, Elsevier, vol. 94(C).
    7. Wang, Yuejing & Ye, Wuyi & Jiang, Ying & Liu, Xiaoquan, 2024. "Volatility prediction for the energy sector with economic determinants: Evidence from a hybrid model," International Review of Financial Analysis, Elsevier, vol. 92(C).
    8. Tang, Yusui & Zhong, Juandan, 2023. "Predicting gold volatility: Exploring the impact of extreme risk in the international commodity market," Finance Research Letters, Elsevier, vol. 58(PB).
    9. Babaei, Hamid & Hübner, Georges & Muller, Aline, 2023. "The effects of uncertainty on the dynamics of stock market interdependence: Evidence from the time-varying cointegration of the G7 stock markets," Journal of International Money and Finance, Elsevier, vol. 139(C).
    10. Ahmed, Walid M.A., 2024. "Attention to climate change and eco-friendly financial-asset prices: A quantile ARDL approach," Energy Economics, Elsevier, vol. 136(C).
    11. Guo, Xiaozhu & Lu, Xinjie & Mu, Shaobo & Zhang, Min, 2024. "New roles for energy and financial markets in spillover connections: context under COVID-19 and the Russia–Ukraine conflict," Research in International Business and Finance, Elsevier, vol. 71(C).
    12. Chen, Yan & Liu, Yakun & Zhang, Feipeng, 2024. "Coskewness and the short-term predictability for Bitcoin return," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    13. Luo, Qin & Bu, Jinfeng & Xu, Weiju & Huang, Dengshi, 2023. "Stock market volatility prediction: Evidence from a new bagging model," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 445-456.
    14. Lu, Xinjie & Lang, Qiaoqi, 2023. "Categorial economic policy uncertainty indices or Twitter-based uncertainty indices? Evidence from Chinese stock market," Finance Research Letters, Elsevier, vol. 55(PB).

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