IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

News driven business cycles and data on asset prices in estimated DSGE models

  • Stefan Avdjiev

The existing literature on estimated structural News Driven Business Cycle (NDBC) models has focused almost exclusively on macroeconomic data and has largely ignored asset prices. In this paper, we present evidence that including data on asset prices in the estimation of a structural NDBC model dramatically affects inference about the main sources of business cycle fluctuations. Combined with the large body of evidence that asset price movements reflect changes in expectations of future developments in the economy, our results imply that data on asset prices should always be used in the estimation of structural NDBC models because they contain information that cannot be obtained by using solely macroeconomic data.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.bis.org/publ/work358.pdf
File Function: Full PDF document
Download Restriction: no

File URL: http://www.bis.org/publ/work358.htm
Download Restriction: no

Paper provided by Bank for International Settlements in its series BIS Working Papers with number 358.

as
in new window

Length: 61 pages
Date of creation: Nov 2011
Date of revision:
Handle: RePEc:bis:biswps:358
Contact details of provider: Postal: Centralbahnplatz 2, CH - 4002 Basel
Phone: (41) 61 - 280 80 80
Fax: (41) 61 - 280 91 00
Web page: http://www.bis.org/
Email:


More information through EDIRC

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. Sungbae An & Frank Schorfheide, 2006. "Bayesian analysis of DSGE models," Working Papers 06-5, Federal Reserve Bank of Philadelphia.
  2. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2008. "Investment shocks and business cycles," Staff Reports 322, Federal Reserve Bank of New York.
  3. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 2000. "The role of investment-specific technological change in the business cycle," European Economic Review, Elsevier, vol. 44(1), pages 91-115, January.
  4. Lilia Karnizova, 2008. "The Spirit of Capitalism and Expectation Driven Business Cycles," Working Papers 0804E, University of Ottawa, Department of Economics.
  5. Robert B. Barsky & Eric R. Sims, 2009. "News Shocks," NBER Working Papers 15312, National Bureau of Economic Research, Inc.
  6. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2008. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," IMES Discussion Paper Series 08-E-16, Institute for Monetary and Economic Studies, Bank of Japan.
  7. Stefan Avdjiev & Nathan Balke, 2010. "Stochastic Volatility, Long Run Risks, and Aggregate Stock Market Fluctuations," BIS Working Papers 323, Bank for International Settlements.
  8. Paul Beaudry & Bernd Lucke, 2009. "Letting Different Views about Business Cycles Compete," NBER Working Papers 14950, National Bureau of Economic Research, Inc.
  9. Epstein, Larry G & Zin, Stanley E, 1989. "Substitution, Risk Aversion, and the Temporal Behavior of Consumption and Asset Returns: A Theoretical Framework," Econometrica, Econometric Society, vol. 57(4), pages 937-69, July.
  10. Giorgio Primiceri & Alejandro Justiniano, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," 2006 Meeting Papers 353, Society for Economic Dynamics.
  11. Hashmat Khan & John Tsoukalas, 2012. "The Quantitative Importance of News Shocks in Estimated DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1535-1561, December.
  12. Eric Leeper & Todd Walker, 2011. "Information Flows and News Driven Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 55-71, January.
  13. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
  14. Schmitt-Grohé, Stephanie & Uribe, Martín, 2009. "What’s News in Business Cycles," CEPR Discussion Papers 7201, C.E.P.R. Discussion Papers.
  15. Marimon, Ramon & Scott, Andrew (ed.), 1999. "Computational Methods for the Study of Dynamic Economies," OUP Catalogue, Oxford University Press, number 9780198294979, March.
  16. Christiano, Lawrence & Ilut, Cosmin & Motto, Roberto & Rostagno, Massimo, 2008. "Monetary policy and stock market boom-bust cycles," Working Paper Series 0955, European Central Bank.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:bis:biswps:358. 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: (Christian Beslmeisl)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.