Advanced Search
MyIDEAS: Login to save this paper or follow this series

Stochastic Volatility, Long Run Risks, and Aggregate Stock Market Fluctuations

Contents:

Author Info

  • Stefan Avdjiev
  • Nathan Balke

Abstract

What are the main drivers of fluctuations in the aggregate US stock market? In this paper, we attempt to resolve the long-lasting debate surrounding this question by designing and solving a consumption-based asset pricing model which incorporates stochastic volatility, long-run risks in consumption and dividends, and Epstein-Zin preferences. Utilizing Bayesian MCMC techniques, we estimate the model by fitting it to US data on the level of the aggregate US stock market, the short-term real risk-free interest rate, real consumption growth, and real dividend growth. Our results indicate that, over short and medium horizons, fluctuations in the level of the aggregate US stock market are mainly driven by changes in expected excess returns. Conversely, low frequency movements in the aggregate stock market are primarily driven by changes in the expected long-run growth rate of real dividends.

Download Info

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/work323.pdf
File Function: Full PDF document
Download Restriction: no

File URL: http://www.bis.org/publ/work323.htm
Download Restriction: no

Bibliographic Info

Paper provided by Bank for International Settlements in its series BIS Working Papers with number 323.

as in new window
Length: 61 pages
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:bis:biswps:323

Contact details of provider:
Postal: Centralbahnplatz 2, CH - 4002 Basel
Phone: (41) 61 - 280 80 80
Fax: (41) 61 - 280 91 00
Email:
Web page: http://www.bis.org/
More information through EDIRC

Related research

Keywords: asset pricing; stochastic volatility; long-run risks; Bayesian MCMC Methods;

This paper has been announced in the following NEP Reports:

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. Ravi Bansal & Robert F. Dittmar & Christian T. Lundblad, 2005. "Consumption, Dividends, and the Cross Section of Equity Returns," Journal of Finance, American Finance Association, American Finance Association, vol. 60(4), pages 1639-1672, 08.
  2. Ravi Bansal & Robert Dittmar & Dana Kiku, 2009. "Cointegration and Consumption Risks in Asset Returns," Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1343-1375, March.
  3. Nathan S. Balke & Mark E. Wohar, 2001. "Low frequency movements in stock prices: a state space decomposition," Working Papers 0001, Federal Reserve Bank of Dallas.
  4. Nathan S. Balke & Mark E. Wohar, 2006. "What Drives Stock Prices? Identifying the Determinants of Stock Price Movements," Southern Economic Journal, Southern Economic Association, vol. 73(1), pages 55–78, July.
  5. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 98(3), pages 604-41, June.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Stefan Avdjiev, 2011. "News driven business cycles and data on asset prices in estimated DSGE models," BIS Working Papers 358, Bank for International Settlements.

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:bis:biswps:323. 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: (Timo Laurmaa).

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.