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A real-time trading rule

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  • Rambaccussing, Dooruj

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. A real-time trading strategy is introduced based on the assumption that reversion occurs in later periods. 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, typically unobservable, are derived from a structural state space model. A battery of tests comparing the rule to the passive Buy and Hold Strategy illustrates that the rule is marginally better for shorter horizons.

Suggested Citation

  • Rambaccussing, Dooruj, 2010. "A real-time trading rule," MPRA Paper 27148, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:27148
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    References listed on IDEAS

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    1. Martin Lettau & Stijn Van Nieuwerburgh, 2008. "Reconciling the Return Predictability Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1607-1652, July.
    2. Allan G. Timmermann, 1993. "How Learning in Financial Markets Generates Excess Volatility and Predictability in Stock Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 1135-1145.
    3. 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.
    4. Timmermann, Allan & Granger, Clive W. J., 2004. "Efficient market hypothesis and forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
    5. Peter Reinhard Hansen, 2001. "An Unbiased and Powerful Test for Superior Predictive Ability," Working Papers 2001-06, Brown University, Department of Economics.
    6. Eugene F. Fama & Kenneth R. French, 2002. "The Equity Premium," Journal of Finance, American Finance Association, vol. 57(2), pages 637-659, April.
    7. Brown, Philip & Clarke, Alex & How, Janice C. Y. & Lim, Kadir, 2000. "The accuracy of management dividend forecasts in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 8(3-4), pages 309-331, July.
    8. Avramov, Doron, 2002. "Stock return predictability and model uncertainty," Journal of Financial Economics, Elsevier, vol. 64(3), pages 423-458, June.
    9. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    10. Sweeney, Richard J, 1986. "Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-182, March.
    11. 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.
    12. Mankiw, N Gregory & Romer, David & Shapiro, Matthew D, 1985. "An Unbiased Reexamination of Stock Market Volatility," Journal of Finance, American Finance Association, vol. 40(3), pages 677-687, July.
    13. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    14. David Rey, 2005. "Market Timing And Model Uncertainty: An Exploratory Study For The Swiss Stock Market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(3), pages 239-260, October.
    15. 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.
    16. Bulkley, George & Tonks, Ian, 1992. "Trading Rules and Excess Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(3), pages 365-382, September.
    17. Kanas, Angelos, 2005. "Nonlinearity in the stock price-dividend relation," Journal of International Money and Finance, Elsevier, vol. 24(4), pages 583-606, June.
    18. Doron Avramov, 2004. "Stock Return Predictability and Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 699-738.
    19. Cochrane, John H, 1992. "Explaining the Variance of Price-Dividend Ratios," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 243-280.
    20. Allen, D.E & Yang, W, 2004. "Do UK stock prices deviate from fundamentals?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 373-383.
    21. Bulkley, George & Taylor, Nick, 1996. "A cross-section test of the present value model," Journal of Empirical Finance, Elsevier, vol. 2(4), pages 295-306, February.
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    More about this item

    Keywords

    Trading Rule; Net Present Value; State Space Modeling;
    All these keywords.

    JEL classification:

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

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