IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v45y2015icp14-21.html
   My bibliography  Save this article

Economic value of modeling covariance asymmetry for mixed-asset portfolio diversifications

Author

Listed:
  • Zhou, Jian
  • Nicholson, Joseph R.

Abstract

Mounting evidence from the literature points to the existence of covariance asymmetry for financial assets. That is, conditional volatility and correlation of financial returns tend to rise more after negative return shocks than after positive ones of the same size. This paper extends the literature by investigating whether investors could gain significant economic benefits from incorporating the feature into mixed-asset portfolio diversifications. We carry out the investigation for a portfolio consisting of US stock, REITs, and the risk-free asset, and find that covariance asymmetry is indeed a value-added feature for mixed-asset diversifications. This conclusion is robust to different portfolio performance metrics and asset allocation periods. More importantly, we demonstrate that the value added by modeling covariance asymmetry is unlikely to be offset by transaction costs. This leads credence to the implementability of a portfolio strategy which embeds the feature of covariance asymmetry. Our findings have important implications for fund managers and their clientele.

Suggested Citation

  • Zhou, Jian & Nicholson, Joseph R., 2015. "Economic value of modeling covariance asymmetry for mixed-asset portfolio diversifications," Economic Modelling, Elsevier, vol. 45(C), pages 14-21.
  • Handle: RePEc:eee:ecmode:v:45:y:2015:i:c:p:14-21
    DOI: 10.1016/j.econmod.2014.10.054
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999314004180
    Download Restriction: Full text for ScienceDirect subscribers only

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

    References listed on IDEAS

    as
    1. Kim Hiang Liow, 2012. "Co‐movements and Correlations Across Asian Securitized Real Estate and Stock Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 40(1), pages 97-129, March.
    2. Jian Yang & Yinggang Zhou & Wai Leung, 2012. "Asymmetric Correlation and Volatility Dynamics among Stock, Bond, and Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 491-521, August.
    3. Andrew J. Patton, 2004. "On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(1), pages 130-168.
    4. Susan Thorp & George Milunovich, 2007. "Symmetric Versus Asymmetric Conditional Covariance Forecasts: Does It Pay To Switch?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 30(3), pages 355-377.
    5. Szu-Yin Hung & John Glascock, 2010. "Volatilities and Momentum Returns in Real Estate Investment Trusts," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 126-149, August.
    6. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    7. François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    8. Ledoit, Oliver & Wolf, Michael, 2008. "Robust performance hypothesis testing with the Sharpe ratio," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 850-859, December.
    9. Vinod Chandrashekaran, 1999. "Time-Series Properties and Diversification Benefits of REIT Returns," Journal of Real Estate Research, American Real Estate Society, vol. 17(1), pages 91-112.
    10. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(4), pages 537-572.
    11. West, Kenneth D. & Edison, Hali J. & Cho, Dongchul, 1993. "A utility-based comparison of some models of exchange rate volatility," Journal of International Economics, Elsevier, vol. 35(1-2), pages 23-45, August.
    12. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. " On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    13. Jeff Fleming, 2001. "The Economic Value of Volatility Timing," Journal of Finance, American Finance Association, vol. 56(1), pages 329-352, February.
    14. Jian Zhou & Zhixin Kang, 2011. "A Comparison of Alternative Forecast Models of REIT Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 275-294, April.
    15. Yufeng Han, 2006. "Asset Allocation with a High Dimensional Latent Factor Stochastic Volatility Model," Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 237-271.
    16. Dimitris Politis & Halbert White, 2004. "Automatic Block-Length Selection for the Dependent Bootstrap," Econometric Reviews, Taylor & Francis Journals, vol. 23(1), pages 53-70.
    17. Merton, Robert C., 1980. "On estimating the expected return on the market : An exploratory investigation," Journal of Financial Economics, Elsevier, vol. 8(4), pages 323-361, December.
    18. Jobson, J D & Korkie, Bob M, 1981. "Performance Hypothesis Testing with the Sharpe and Treynor Measures," Journal of Finance, American Finance Association, vol. 36(4), pages 889-908, September.
    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


    Cited by:

    1. repec:eee:intfin:v:50:y:2017:i:c:p:1-12 is not listed on IDEAS
    2. Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    3. repec:bor:bistre:v:17:y:2017:i:1:p:25-48 is not listed on IDEAS
    4. Ormos, Mihály & Timotity, Dusán, 2016. "Generalized asset pricing: Expected Downside Risk-based equilibrium modeling," Economic Modelling, Elsevier, vol. 52(PB), pages 967-980.
    5. Lord Mensah, 2016. "Asset Allocation Brewed Accross African Stock Markets," Proceedings of Economics and Finance Conferences 3205757, International Institute of Social and Economic Sciences.

    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:eee:ecmode:v:45:y:2015:i:c:p:14-21. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.