IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v87y2026ics1544612325022494.html

Firm-level economic policy uncertainty perception and stock volatility dynamics: Evidence from a panel GARCH-MIDAS model

Author

Listed:
  • Liu, Yinong
  • Li, Yanying
  • Li, Haohua

Abstract

Economic policy uncertainty (EPU) is a key driver of market volatility, while the majority of current indicators are derived from macroeconomic events rather than firm-level perceptions. This paper develops a novel firm-level economic policy uncertainty (FEPU) measurement for Chinese listed companies by applying multinomial inverse regression (MNIR). Furthermore, we propose a panel GARCH-MIDAS model that integrates low-frequency firm-level policy uncertainty with high-frequency stock return data to jointly capture long-term policy-driven volatility and firm-specific short-term dynamics across 50 Chinese listed companies. Our empirical results indicate that higher policy uncertainty exerts a stabilizing effect on long-term volatility. This phenomenon may be attributed to proactive regulatory interventions aimed at mitigating systemic risk during uncertain periods, as well as a strategic shift by institutional investors toward defensive, low-volatility assets, thereby dampening overall market fluctuations. Overall, this paper provides insights into the influence of information disclosure on market risk dynamics.

Suggested Citation

  • Liu, Yinong & Li, Yanying & Li, Haohua, 2026. "Firm-level economic policy uncertainty perception and stock volatility dynamics: Evidence from a panel GARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:finlet:v:87:y:2026:i:c:s1544612325022494
    DOI: 10.1016/j.frl.2025.108996
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325022494
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.108996?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Huang, Yun & Luk, Paul, 2020. "Measuring economic policy uncertainty in China," China Economic Review, Elsevier, vol. 59(C).
    2. Nicholas Bloom, 2014. "Fluctuations in Uncertainty," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 153-176, Spring.
    3. Yinong Liu & Yanying Li & Huiying Chen, 2025. "The Keywords in Corporate Social Responsibility: A Dictionary Construction Method Based on MNIR," Sustainability, MDPI, vol. 17(6), pages 1-23, March.
    4. Yu, Xiaoling & Huang, Yirong, 2021. "The impact of economic policy uncertainty on stock volatility: Evidence from GARCH–MIDAS approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    5. Xiaoling Yu & Yirong Huang & Kaitian Xiao, 2021. "Global economic policy uncertainty and stock volatility: evidence from emerging economies," Journal of Applied Economics, Taylor & Francis Journals, vol. 24(1), pages 416-440, January.
    6. 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.
    7. Libing Fang & Baizhu Chen & Honghai Yu & Yichuo Qian, 2018. "The importance of global economic policy uncertainty in predicting gold futures market volatility: A GARCH‐MIDAS approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 413-422, March.
    8. Gong, Yuting & Li, Xiao & Xue, Wenjun, 2023. "The impact of EPU spillovers on the bond market volatility: Global evidence," Finance Research Letters, Elsevier, vol. 55(PB).
    9. Yu, Jian & Shi, Xunpeng & Guo, Dongmei & Yang, Longjian, 2021. "Economic policy uncertainty (EPU) and firm carbon emissions: Evidence using a China provincial EPU index," Energy Economics, Elsevier, vol. 94(C).
    10. Raheem, Mufutau I. & Isah, Kazeem O. & Dike, Chukwudi H. & Raheem, Ibrahim D., 2025. "Modelling the volatility dynamics of ESG stocks amid uncertainties: The role of asymmetry in a GARCH-MIDAS approach," Finance Research Letters, Elsevier, vol. 85(PD).
    11. Meng, Qingxi & He, Yan & Zhang, Anting & Gong, Xiaoyun, 2023. "Does mandatory operating information disclosure affect stock price crash risk? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    12. Steven J. Davis, 2016. "An Index of Global Economic Policy Uncertainty," NBER Working Papers 22740, National Bureau of Economic Research, Inc.
    13. Li, Tao & Ma, Feng & Zhang, Xuehua & Zhang, Yaojie, 2020. "Economic policy uncertainty and the Chinese stock market volatility: Novel evidence," Economic Modelling, Elsevier, vol. 87(C), pages 24-33.
    14. Robert F. Engle & Eric Ghysels & Bumjean Sohn, 2013. "Stock Market Volatility and Macroeconomic Fundamentals," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 776-797, July.
    15. Bali, Turan G. & Brown, Stephen J. & Tang, Yi, 2017. "Is economic uncertainty priced in the cross-section of stock returns?," Journal of Financial Economics, Elsevier, vol. 126(3), pages 471-489.
    16. Jian Liu & Ziting Zhang & Lizhao Yan & Fenghua Wen, 2021. "Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Tao & Guan, Xinyue & Wei, Yigang & Xue, Shan & Xu, Liang, 2023. "Impact of economic policy uncertainty on the volatility of China's emission trading scheme pilots," Energy Economics, Elsevier, vol. 121(C).
    2. Li, Dongxin & Zhang, Li & Li, Lihong, 2023. "Forecasting stock volatility with economic policy uncertainty: A smooth transition GARCH-MIDAS model," International Review of Financial Analysis, Elsevier, vol. 88(C).
    3. Chang, Kuang-Liang, 2022. "Do economic policy uncertainty indices matter in joint volatility cycles between U.S. and Japanese stock markets?," Finance Research Letters, Elsevier, vol. 47(PA).
    4. Xiao, Jihong & Jiang, Jiajie & Zhang, Yaojie, 2024. "Policy uncertainty, investor sentiment, and good and bad volatilities in the stock market: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    5. Güngör Arifenur & Güngör Mahmut Sami, 2024. "The Nexus Between Economic Policy Uncertainty and Stock Market Volatility in the CEE-3 Countries," South East European Journal of Economics and Business, Sciendo, vol. 19(2), pages 60-81.
    6. Irine Tahjiba Angela, 2026. "Global economic policy uncertainty and credit risk in emerging economies: evidence from Bangladesh," Future Business Journal, Springer, vol. 12(1), pages 1-32, December.
    7. Bouteska, Ahmed & Sharif, Taimur & Hajek, Petr & Abedin, Mohammad Zoynul, 2024. "Aversion and ambiguity: On the robustness of the macroeconomic uncertainty measure framework," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    8. Yao, Yinhong & Chen, Xiuwen & Chen, Zhensong, 2025. "Portfolio tail risk forecasting for international financial assets: A GARCH-MIDAS-R-Vine copula model," The North American Journal of Economics and Finance, Elsevier, vol. 77(C).
    9. Liu, Zhenhua & Zhang, Huiying & Ding, Zhihua & Lv, Tao & Wang, Xu & Wang, Deqing, 2022. "When are the effects of economic policy uncertainty on oil–stock correlations larger? Evidence from a regime-switching analysis," Economic Modelling, Elsevier, vol. 114(C).
    10. Yujia, Li & Zixiang, Zhu & Ming, Che, 2024. "Exploring the relationship between China's economic policy uncertainty and business cycles: Exogenous impulse or endogenous responses?," Emerging Markets Review, Elsevier, vol. 58(C).
    11. Sabani, Nazmie & Bales, Stephan & Burghof, Hans-Peter, 2024. "On the different impact of local and national sources of policy uncertainty on sectoral stock volatility," Research in International Business and Finance, Elsevier, vol. 72(PB).
    12. Li, Tao & Ma, Feng & Zhang, Xuehua & Zhang, Yaojie, 2020. "Economic policy uncertainty and the Chinese stock market volatility: Novel evidence," Economic Modelling, Elsevier, vol. 87(C), pages 24-33.
    13. Shabir Mohsin Hashmi & Muhammad Akram Gilal & Wing-Keung Wong, 2021. "Sustainability of Global Economic Policy and Stock Market Returns in Indonesia," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    14. Lin, Boqiang & Zhao, Hengsong, 2023. "Tracking policy uncertainty under climate change," Resources Policy, Elsevier, vol. 83(C).
    15. Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti, 2019. "Macro-Financial Linkages in the High-Frequency Domain: The Effects of Uncertainty on Realized Volatility," CESifo Working Paper Series 8000, CESifo.
    16. Hu, Chunyang & Zhou, Yang, 2025. "Do domestic and US economic policy uncertainty increase China’s macro-financial risk connectedness?," Research in International Business and Finance, Elsevier, vol. 80(C).
    17. Chen, Xiaoyu & Chiang, Thomas C., 2020. "Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market," Research in International Business and Finance, Elsevier, vol. 53(C).
    18. Li, Xin & Su, Chi Wei, 2024. "Evaluating the impact of multiple uncertainty shocks on China's airline stocks volatility: A novel joint quantile perspective," Journal of Air Transport Management, Elsevier, vol. 121(C).
    19. Dai, Peng-Fei & Xiong, Xiong & Zhang, Jin & Zhou, Wei-Xing, 2022. "The role of global economic policy uncertainty in predicting crude oil futures volatility: Evidence from a two-factor GARCH-MIDAS model," Resources Policy, Elsevier, vol. 78(C).
    20. Ying, Xuehai & Luo, Beibei, 2025. "Reducing forecast uncertainty in China’s gold futures market through mixed-frequency volatility modeling," Finance Research Letters, Elsevier, vol. 86(PG).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:87:y:2026:i:c:s1544612325022494. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.