IDEAS home Printed from https://ideas.repec.org/a/bes/jnlbes/v29i1y2011p161-173.html
   My bibliography  Save this article

Cointegration and Long-Run Asset Allocation

Author

Listed:
  • Bansal, Ravi
  • Kiku, Dana

Abstract

We show that economic restrictions of cointegration between asset cash flows and aggregate consumption have important implications for return dynamics and optimal portfolio rules, particularly at long investment horizons. When cash flows and consumption share a common stochastic trend (i.e., are cointegrated), temporary deviations between their levels forecast long-horizon dividend growth rates and returns, and consequently, alter the term profile of risks and expected returns. We show that the optimal asset allocation based on the error-correction vector autoregression (EC-VAR) specification can be quite different relative to a traditional VAR that ignores the cointegrating relation. Unlike the EC-VAR, the commonly used VAR approach to model expected returns focuses on short-run forecasts and can considerably miss on long-horizon return dynamics, and hence, the optimal portfolio mix in the presence of cointegration. We develop and implement methods to account for parameter uncertainty in the EC-VAR setup and highlight the importance of the error-correction channel for optimal portfolio decisions at various investment horizons.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bansal, Ravi & Kiku, Dana, 2011. "Cointegration and Long-Run Asset Allocation," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 161-173.
  • Handle: RePEc:bes:jnlbes:v:29:i:1:y:2011:p:161-173
    as

    Download full text from publisher

    File URL: http://pubs.amstat.org/doi/abs/10.1198/jbes.2010.08062
    File Function: full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Chen, Guojin & Hong, Zhiwu & Ren, Yu, 2016. "Durable consumption and asset returns: Cointegration analysis," Economic Modelling, Elsevier, vol. 53(C), pages 231-244.
    2. Claude Bergeron & Tov Assogbavi & Jean-pierre Gueyie, 2020. "Conditional capital asset pricing model, long-run risk, and stock valuation," Economics Bulletin, AccessEcon, vol. 40(1), pages 77-86.
    3. Bergeron, Claude, 2013. "Dividend sensitivity to economic factors, stock valuation, and long-run risk," Finance Research Letters, Elsevier, vol. 10(4), pages 184-195.
    4. Feldkircher, Martin & Gruber, Thomas & Huber, Florian, 2020. "International effects of a compression of euro area yield curves," Journal of Banking & Finance, Elsevier, vol. 113(C).
    5. Favero, Carlo A. & Melone, Alessandro, 2020. "Asset Pricing vs Asset Expected Returning in Factor-Portfolio Models," CEPR Discussion Papers 14417, C.E.P.R. Discussion Papers.
    6. Claude Bergeron, 2019. "Recursive preferences, long-run risks, and stock valuation," Economics Bulletin, AccessEcon, vol. 39(2), pages 996-1004.
    7. Almeida, Caio & Brandao, Diego, 2019. "Measuring Long Run Risks for Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 39(1), July.
    8. Claude Bergeron, 2024. "Inflation, risk, and dividend growth," SN Business & Economics, Springer, vol. 4(7), pages 1-21, July.
    9. Sant’Anna, Leonardo R. & Filomena, Tiago P. & Caldeira, João F., 2017. "Index tracking and enhanced indexing using cointegration and correlation with endogenous portfolio selection," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 146-157.
    10. Claude Bergeron, 2013. "Dividend growth, stock valuation, and long-run risk," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(4), pages 547-559, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bes:jnlbes:v:29:i:1:y:2011:p:161-173. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.