Advanced Search
MyIDEAS: Login to save this book chapter or follow this series

Stock Prices, News and Economic Fluctuations

In: Enhancing Productivity (NBER-CEPR-TCER-Keio conference)

Contents:

Author Info

  • Paul Beaudry
  • Franck Portier

Abstract

A common view in macroeconomics is that business cycles can be meaningfully decomposed into fluctuations driven by demand shocks - which are shocks that have no short- or long-run effects on productivity - and fluctuations driven by unexpected changes in technology. In this Paper we propose a means of evaluating this view and we show that it is strongly at odds with the data. In contrast, we show that the data favours a view of business cycles driven primarily by a shock that does not affect productivity in the short run - therefore it looks like a demand shock - but affects productivity in the long run. The structural interpretation we suggest for this shock is that it represents news about future technological opportunities. We show that this shock explains about 50% of business cycle fluctuations and therefore deserves to be acknowledged and further understood by macroeconomists.

(This abstract was borrowed from another version of this item.)

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Bibliographic Info

as in new window

This chapter was published in:

  • Dale Jorgenson & Takeo Hoshi & Masahiro Kuroda, 2005. "Enhancing Productivity (NBER-CEPR-TCER-Keio conference)," NBER Books, National Bureau of Economic Research, Inc, number jorg05-1, May.
    This item is provided by National Bureau of Economic Research, Inc in its series NBER Chapters with number 0185.

    Handle: RePEc:nbr:nberch:0185

    Contact details of provider:
    Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
    Phone: 617-868-3900
    Email:
    Web page: http://www.nber.org
    More information through EDIRC

    Related research

    Keywords:

    Other versions of this item:

    Find related papers by JEL classification:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," NBER Working Papers 2737, National Bureau of Economic Research, Inc.
    2. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    3. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What happens after a technology shock?," International Finance Discussion Papers 768, Board of Governors of the Federal Reserve System (U.S.).
    4. Pakes, Ariel, 1985. "On Patents, R&D, and the Stock Market Rate of Return," Journal of Political Economy, University of Chicago Press, vol. 93(2), pages 390-409, April.
    5. Beaudry, Paul & Portier, Franck, 2003. "Stock Prices, News and Economic Fluctuations," CEPR Discussion Papers 3844, C.E.P.R. Discussion Papers.
    6. Boyan Jovanovic & Jeremy Greenwood, 1999. "The Information-Technology Revolution and the Stock Market," American Economic Review, American Economic Association, vol. 89(2), pages 116-122, May.
    7. Lawrence J. Christiano & Jonas D. M. Fisher, 2003. "Stock Market and Investment Goods Prices: Implications for Macroeconomics," NBER Working Papers 10031, National Bureau of Economic Research, Inc.
    8. Nyblom, Jukka & Harvey, Andrew, 2000. "Tests Of Common Stochastic Trends," Econometric Theory, Cambridge University Press, vol. 16(02), pages 176-199, April.
    9. Neville Francis & Valerie A. Ramey, 2002. "Is the Technology-Driven Real Business Cycle Hypothesis Dead?," NBER Working Papers 8726, National Bureau of Economic Research, Inc.
    10. G. William Schwert, 1990. "Stock Returns and Real Activity: A Century of Evidence," NBER Working Papers 3296, National Bureau of Economic Research, Inc.
    11. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1995. "Long-Run Implications of Investment-Specific Technological Change," UWO Department of Economics Working Papers 9510, University of Western Ontario, Department of Economics.
    12. Benhabib, Jess & Farmer, Roger E.A., 1999. "Indeterminacy and sunspots in macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 6, pages 387-448 Elsevier.
    13. Robert J. Shiller, 1980. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," NBER Working Papers 0456, National Bureau of Economic Research, Inc.
    14. Fama, Eugene F, 1990. " Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
    15. Susanto Basu & John Fernald & Miles Kimball, 1998. "Are technology improvements contractionary?," International Finance Discussion Papers 625, Board of Governors of the Federal Reserve System (U.S.).
    16. Randall Morck & Andrei Shleifer & Robert W. Vishny, 1990. "The Stock Market and Investment: Is the Market a Sideshow?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(2), pages 157-216.
    17. N. Gregory Mankiw & David Romer & Matthew D. Shapiro, 1985. "An Unbiased Reexamination of Stock Market Volatility," Cowles Foundation Discussion Papers 758, Cowles Foundation for Research in Economics, Yale University.
    18. Ricardo J. Caballero & Mohamad L. Hammour, 2002. "Speculative Growth," NBER Working Papers 9381, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The Quantitative Importance of News Shocks in Estimated DSGE Models
      by Christian Zimmermann in NEP-DGE blog on 2009-10-06 15:53:14
    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.

    Lists

    This item is featured on the following reading lists or Wikipedia pages:
    1. Stock Prices, News, and Economic Fluctuations (AER 2006) in ReplicationWiki
    2. Canadian Macro Study Group

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:nbr:nberch:0185. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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