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Risk Preferences and The Macro Announcement Premium

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  • Hengjie Ai
  • Ravi Bansal
Abstract
The paper develops a theory for equity premium around macroeconomic announcements. Stock returns realized around pre-scheduled macroeconomic announcements, such as the employment report and the FOMC statements, account for 55% of the market equity premium during the 1961-2014 period, and virtually 100% of it during the later period of 1997-2014, where more announcement data are available. We provide a characterization theorem for the set of intertemporal preferences that generate a positive announcement premium. Our theory establishes that the announcement premium identifies a significant deviation from expected utility and constitutes an asset market based evidence for a large class of non-expected models that features aversion to ”Knightian uncertainty”, for example, Gilboa and Schmeidler [30]. We also present a dynamic model to account for the evolution of equity premium around macroeconomic announcements.

Suggested Citation

  • Hengjie Ai & Ravi Bansal, 2016. "Risk Preferences and The Macro Announcement Premium," NBER Working Papers 22527, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:22527
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    References listed on IDEAS

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    2. Davide E. Avino & Andrei Stancu & Chardin Wese Simen, 2021. "Dissecting Macroeconomic News," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(5), pages 1047-1077, August.
    3. Borisenko, Dmitry & Pozdeev, Igor, 2017. "Monetary Policy and Currency Returns: the Foresight Saga," Working Papers on Finance 1708, University of St. Gallen, School of Finance, revised 1710.
    4. Zura Kakushadze & Juan Andrés Serur, 2018. "151 Trading Strategies," Springer Books, Springer, number 978-3-030-02792-6, June.
    5. Nina Boyarchenko & Lars C Larsen & Paul Whelan & Stefano Giglio, 2023. "The Overnight Drift," The Review of Financial Studies, Society for Financial Studies, vol. 36(9), pages 3502-3547.
    6. Anisha Ghosh & George M Constantinides, 2021. "What Information Drives Asset Prices? [Information quality and long-run risk: Asset pricing implications]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(4), pages 837-885.
    7. Philipp K. Illeditsch & Jayant V. Ganguli & Scott Condie, 2021. "Information Inertia," Journal of Finance, American Finance Association, vol. 76(1), pages 443-479, February.
    8. Nina Boyarchenko & Lars C Larsen & Paul Whelan & Stefano Giglio, 2023. "The Overnight Drift," The Review of Financial Studies, Society for Financial Studies, vol. 36(9), pages 3502-3547.
    9. Anthony M. Diercks & William Waller, 2017. "Taxes and the Fed : Theory and Evidence from Equities," Finance and Economics Discussion Series 2017-104, Board of Governors of the Federal Reserve System (U.S.).
    10. Croce, Mariano & Schlag, Christian & Marchuk, Tatyana, 2018. "The Leading Premium," CEPR Discussion Papers 12631, C.E.P.R. Discussion Papers.

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    More about this item

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • G0 - Financial Economics - - General
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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