IDEAS home Printed from https://ideas.repec.org/p/eec/wpaper/1113.html
   My bibliography  Save this paper

Do Mean Reverting based trading strategies outperform Buy and Hold?

Author

Listed:
  • Dooruj Rambaccussing

    (University of Exeter)

Abstract

If prices of assets are not aligned to their net present value, a trading strategy may be implemented when actual prices revert to fundamentals. This hypothesis is informally tested in real-time using a trading strategy which consists of identifying whether the equity index is over or under- priced. The fundamental price is constructed in real time using the net present value approach which requires the series for expected dividends, expected returns and expected dividend growth rate. These series, typi- cally unobservable, are derived from a structural state space model and econometric models. The performance of the rules depend on the fre- quency of the data. Cyclical behaviour within the the one year frequency may not be discarded. The trading strategy performs poorly implying that mean reversion may not be uncovered in real-time. However a hybrid variant of the structural and econometric model is shown to outperform the passive Buy and Hold strategy.

Suggested Citation

  • Dooruj Rambaccussing, 2011. "Do Mean Reverting based trading strategies outperform Buy and Hold?," Working Papers 1113, Department of Applied Economics II, Universidad de Valencia.
    • Handle: RePEc:eec:wpaper:1113
    as

    Download full text from publisher

    File URL: http://repecsrv.uv.es/paper/RePEc/pdf/eec_1113.pdf
    File Function: First version, 2011
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin D. D. Evans, 1998. "Dividend Variability and Stock Market Swings," Review of Economic Studies, Oxford University Press, vol. 65(4), pages 711-740.
    2. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2004. "Fractional cointegration and tests of present value models," Review of Financial Economics, Elsevier, vol. 13(3), pages 245-258.
    3. Chow, Gregory C, 1989. "Rational versus Adaptive Expectations in Present Value Models," The Review of Economics and Statistics, MIT Press, vol. 71(3), pages 376-384, August.
    4. Conrad, Jennifer & Kaul, Gautam, 1988. "Time-Variation in Expected Returns," The Journal of Business, University of Chicago Press, vol. 61(4), pages 409-425, October.
    5. Bulkley, George & Tonks, Ian, 1989. "Are U.K. Stock Prices Excessively Volatile? Trading Rules and Variance Bounds Tests," Economic Journal, Royal Economic Society, vol. 99(398), pages 1083-1098, December.
    6. Ignacio N. Lobato & Peter M. Robinson, 1998. "A Nonparametric Test for I(0)," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 475-495.
    7. Cuthbertson, Keith & Hyde, Stuart, 2002. "Excess volatility and efficiency in French and German stock markets," Economic Modelling, Elsevier, vol. 19(3), pages 399-418, May.
    8. JULES H. Van BINSBERGEN & RALPH S. J. KOIJEN, 2010. "Predictive Regressions: A Present‐Value Approach," Journal of Finance, American Finance Association, vol. 65(4), pages 1439-1471, August.
    9. Strauss, Jack & Yigit, Taner, 2001. "Present value model, heteroscedasticity and parameter stability tests," Economics Letters, Elsevier, vol. 73(3), pages 375-378, December.
    10. Bohl, Martin T. & Siklos, Pierre L., 2004. "The present value model of U.S. stock prices redux: a new testing strategy and some evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 208-223, May.
    11. Kanas, Angelos, 2005. "Nonlinearity in the stock price-dividend relation," Journal of International Money and Finance, Elsevier, vol. 24(4), pages 583-606, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rambaccussing, Dooruj, 2010. "A real-time trading rule," MPRA Paper 27148, University Library of Munich, Germany.
    2. John Goddard & David Mcmillan & John Wilson, 2008. "Dividends, prices and the present value model: firm-level evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 14(3), pages 195-210.
    3. McMillan, David G., 2007. "Bubbles in the dividend-price ratio? Evidence from an asymmetric exponential smooth-transition model," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 787-804, March.
    4. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector-Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5-6), pages 668-686.
    5. David G. McMillan, 2010. "Level-shifts and non-linearity in US financial ratios: Implications for returns predictability and the present value model," Review of Accounting and Finance, Emerald Group Publishing, vol. 9(2), pages 189-207, May.
    6. Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2013. "Testing for the existence of a bubble in the stock market," Wismar Discussion Papers 01/2013, Hochschule Wismar, Wismar Business School.
    7. McMillan, David G., 2009. "Are share prices still too high?," Research in International Business and Finance, Elsevier, vol. 23(3), pages 223-232, September.
    8. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector‐Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 668-686, June.
    9. Vicente Esteve & Manuel Navarro-Ibáñez & María A. Prats, 2013. "The present value model of US stock prices revisited: long-run evidence with structural breaks, 1871-2010," Working Papers 04/13, Instituto Universitario de Análisis Económico y Social.
    10. Chan, Joshua C.C. & Santi, Caterina, 2021. "Speculative bubbles in present-value models: A Bayesian Markov-switching state space approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    11. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    12. Esteve, Vicente & Navarro-Ibáñez, Manuel & Prats, María A., 2020. "Stock prices, dividends, and structural changes in the long-term: The case of U.S," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    13. David G. McMillan & Mark E. Wohar, 2010. "Stock return predictability and dividend-price ratio: a nonlinear approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 351-365.
    14. Vicente Esteve & Manuel Navarro-Ibáñez & María A. Prats, 2013. "The present value model of U.S. stock prices revisited: long-run evidence with structural breaks, 1871-2010," Working Papers 1305, Department of Applied Economics II, Universidad de Valencia.
    15. Londoño Yarce, Juan Miguel & Regúlez Castillo, Marta & Vázquez Pérez, Jesús, 2014. "An Alternative View of the US Price-Dividend Ratio Dynamics," DFAEII Working Papers DFAEII;2014-05, University of the Basque Country - Department of Foundations of Economic Analysis II.
    16. Lansing, Kevin J., 2006. "Lock-In Of Extrapolative Expectations In An Asset Pricing Model," Macroeconomic Dynamics, Cambridge University Press, vol. 10(3), pages 317-348, June.
    17. McMillan, David G., 2013. "Consumption and stock prices: Evidence from a small international panel," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 76-88.
    18. Shu-Ching Cheng & Tsung-Pao Wu, 2013. "Nonlinear Behavior of the US Stock Price-Dividend: Evidence from Threshold Unit Root Tests," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 82-93, December.
    19. Vasco Gabriel & Luis Martins, 2011. "Cointegration tests under multiple regime shifts: An application to the stock price–dividend relationship," Empirical Economics, Springer, vol. 41(3), pages 639-662, December.
    20. McMillan, David G., 2006. "The price-dividend ratio and limits to arbitrage: Evidence from a time-varying ESTR model," Economics Letters, Elsevier, vol. 91(3), pages 408-412, June.

    More about this item

    Keywords

    Trading Rule; Asset Pricing; State Space Modeling;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:eec:wpaper:1113. 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: . General contact details of provider: https://edirc.repec.org/data/dsvales.html .

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vicente Esteve (email available below). General contact details of provider: https://edirc.repec.org/data/dsvales.html .

    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.