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Financial Markets, the Real Economy, and Self-fulfilling Uncertainties

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  • Jess Benhabib
  • Xuewen Liu
  • Pengfei Wang

Abstract

Uncertainty in both financial markets and the real economy rises sharply during recessions. We develop a model of informational interdependence between financial markets and the real economy, linking uncertainty to information production and aggregate economic activities. We argue that there exists mutual learning between financial markets and the real economy. Their joint information productions determine both the allocative efficiency in the real sector and the market efficiency in the financial sector. The mutual learning creates a strategic complementarity between information production in the financial sector and that in the real sector. A self-fulfilling surge in financial uncertainty and real uncertainty can naturally arise when both sectors produce little information in anticipation of the other producing little information. At the same time, aggregate output falls as the real allocative efficiency deteriorates. In the extension to an OLG dynamic setting, our model characterizes self-fulfilling uncertainty traps with two steady-state equilibria and a two-stage economic crisis in transitional dynamics.

Suggested Citation

  • Jess Benhabib & Xuewen Liu & Pengfei Wang, 2018. "Financial Markets, the Real Economy, and Self-fulfilling Uncertainties," NBER Working Papers 24984, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24984
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    Cited by:

    1. Karamysheva, Madina, 2022. "How do fiscal adjustments work? An empirical investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    2. Arnold, Lutz G. & Zelzner, Sebastian, 2022. "Financial trading versus entrepreneurship: Competition for talent and negative feedback effects," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 186-199.
    3. Itay Goldstein, 2023. "Information in Financial Markets and Its Real Effects," Review of Finance, European Finance Association, vol. 27(1), pages 1-32.
    4. Xu, Zhiwei & Zhou, Fei & Zhou, Jing, 2022. "Sentiments and real business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    5. Yang Hao, 2023. "Financial Market with Learning from Price under Knightian Uncertainty," Working Papers hal-03686748, HAL.
    6. Paymon Khorrami & Fernando Mendo, 2021. "Rational Sentiments and Financial Frictions," Working Papers Central Bank of Chile 928, Central Bank of Chile.
    7. Marco Di Maggio & Amir Kermani & Rodney Ramcharan & Vincent Yao & Edison Yu, 2020. "The Pass-Through of Uncertainty Shocks to Households," NBER Working Papers 27646, National Bureau of Economic Research, Inc.
    8. Elder, John, 2020. "Employment and energy uncertainty," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    9. Berardi, Michele, 2021. "Uncertainty, sentiments and time-varying risk premia," MPRA Paper 106922, University Library of Munich, Germany.
    10. Elder, John & Payne, James E., 2023. "Racial and ethnic disparities in unemployment and oil price uncertainty," Energy Economics, Elsevier, vol. 119(C).

    More about this item

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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