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Noise Bubbles

Author

Listed:
  • Mario Forni
  • Luca Gambetti
  • Marco Lippi
  • Luca Sala

Abstract

We introduce imperfect information in stock prices determination. Agents receive a noisy signal about the structural shock driving future dividend variations. Equilibrium stock prices include a transitory 'noise bubble' which can be responsible for boom andbust episodes unrelated to economic fundamentals. We propose a non-standard VAR procedure to estimate impulse response functions to noise shock and the bubble component of stock prices. Noise explains a large fraction of US stock prices. The dot-com bubble is explained by noise. The 2007 stock price boom is not a bubble, whereas the following stock market crisis is due to negative noise shocks. JEL classification: C32, E32, E62. Keywords: Rational bubbles, structural VARs, noise shocks.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Mario Forni & Luca Gambetti & Marco Lippi & Luca Sala, 2017. "Noise Bubbles," Economic Journal, Royal Economic Society, vol. 127(604), pages 1940-1976, September.
    • Handle: RePEc:wly:econjl:v:127:y:2017:i:604:p:1940-1976
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    File URL: http://hdl.handle.net/10.1111/ecoj.2017.127.issue-604
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    Cited by:

    1. Lionel Page & Charles N. Noussair & Robert Slonim, 2021. "The replication crisis, the rise of new research practices and what it means for experimental economics," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 210-225, December.
    2. Mario Forni & Luca Gambetti & Luca Sala, 2017. "News, Uncertainty and Economic Fluctuations (No News is Good News)," Center for Economic Research (RECent) 132, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    3. Paul Beaudry & Franck Portier, 2014. "News-Driven Business Cycles: Insights and Challenges," Journal of Economic Literature, American Economic Association, vol. 52(4), pages 993-1074, December.
    4. Andrea Gazzani, 2020. "News and noise bubbles in the housing market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 46-72, April.
    5. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 1-32, January.
    6. Alfredo Di Tillio & Marco Ottaviani & Peter Norman Sørensen, 2017. "Persuasion Bias in Science: Can Economics Help?," Economic Journal, Royal Economic Society, vol. 127(605), pages 266-304, October.
    7. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
    8. Jonathan Adams & Philip Barrett, 2024. "Shocks to Inflation Expectations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 54, October.

    More about this item

    Keywords

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    JEL classification:

    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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