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How EPU drives long-term industry beta

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  • Yu, Honghai
  • Fang, Libing
  • Du, Donglei
  • Yan, Panpan

Abstract

Based on the DCC-MIDAS framework, we estimate the long-term beta of 10 industries driven by Economic Policy Uncertainty (EPU) in the US. The results demonstrate that EPU significantly drives industry beta. The driving effects on different industries are further analyzed along with the related stock market turmoil. The effects of 10 categories of specific EPU on industries’ beta are also presented. The findings help to characterize the systematic risk of industries facing different categories of economic policy uncertainty.

Suggested Citation

  • Yu, Honghai & Fang, Libing & Du, Donglei & Yan, Panpan, 2017. "How EPU drives long-term industry beta," Finance Research Letters, Elsevier, vol. 22(C), pages 249-258.
    • Handle: RePEc:eee:finlet:v:22:y:2017:i:c:p:249-258
    DOI: 10.1016/j.frl.2017.05.012
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    1. Ben S. Bernanke & Kenneth N. Kuttner, 2005. "What Explains the Stock Market's Reaction to Federal Reserve Policy?," Journal of Finance, American Finance Association, vol. 60(3), pages 1221-1257, June.
    2. Naughton, James & Petacchi, Reining & Weber, Joseph, 2015. "Public pension accounting rules and economic outcomes," Journal of Accounting and Economics, Elsevier, vol. 59(2), pages 221-241.
    3. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    4. Ross Levine, 2012. "The Governance of Financial Regulation: Reform Lessons from the Recent Crisis," International Review of Finance, International Review of Finance Ltd., vol. 12(1), pages 39-56, March.
    5. 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.
    6. Bekiros, Stelios & Gupta, Rangan & Majumdar, Anandamayee, 2016. "Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis," Finance Research Letters, Elsevier, vol. 18(C), pages 291-296.
    7. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    8. 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.
    9. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    10. Eric Ghysels & Arthur Sinko & Rossen Valkanov, 2007. "MIDAS Regressions: Further Results and New Directions," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 53-90.
    11. Ghysels, Eric & Wright, Jonathan H., 2009. "Forecasting Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 504-516.
    12. Baele, Lieven & Londono, Juan M., 2013. "Understanding industry betas," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 30-51.
    13. Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, vol. 164(1), pages 45-59, September.
    14. Liu, Li & Zhang, Tao, 2015. "Economic policy uncertainty and stock market volatility," Finance Research Letters, Elsevier, vol. 15(C), pages 99-105.
    15. Huseyin Gulen & Mihai Ion, 2016. "Editor's Choice Policy Uncertainty and Corporate Investment," The Review of Financial Studies, Society for Financial Studies, vol. 29(3), pages 523-564.
    Full references (including those not matched with items on IDEAS)

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    9. Guillaume Pijourlet, 2024. "Climate policy uncertainty and US industry stock returns: A quantile regression approach," Economics Bulletin, AccessEcon, vol. 44(1), pages 182-189.
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    14. Noam Bergman & Tim Foxon, 2018. "Reorienting Finance Towards Energy Efficiency: The Case of UK Housing," SPRU Working Paper Series 2018-05, SPRU - Science Policy Research Unit, University of Sussex Business School.
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    More about this item

    Keywords

    Industry beta; EPU; DCC-MIDAS; MIDAS regression;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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