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Exploiting price misalignements

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  • Rambaccussing, Dooruj

Abstract

Signi�cant cumulative above the market returns can be made by diversifying wealth between equity and bond assets over time. The main premise of the trading rule model is to identify when should assets be held in the bond and equity markets in real time. The model involves comparing the net present value of the equity index with the actual price. Recursive and Rolling forecasts of dividends from three regression schemes are used to proxy expected dividends. The returns are sensitive to the forecasting model and the discount factor adopted in the net present value relation.

Suggested Citation

  • Rambaccussing, Dooruj, 2009. "Exploiting price misalignements," MPRA Paper 27147, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:27147
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    References listed on IDEAS

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    1. Sweeney, Richard J, 1986. " Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-182, March.
    2. Shiller, Robert J. & Beltratti, Andrea E., 1992. "Stock prices and bond yields : Can their comovements be explained in terms of present value models?," Journal of Monetary Economics, Elsevier, vol. 30(1), pages 25-46, October.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Bulkley, George & Tonks, Ian, 1992. "Trading Rules and Excess Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(03), pages 365-382, September.
    8. Allan G. Timmermann, 1993. "How Learning in Financial Markets Generates Excess Volatility and Predictability in Stock Prices," The Quarterly Journal of Economics, Oxford University Press, vol. 108(4), pages 1135-1145.
    9. Doron Avramov, 2004. "Stock Return Predictability and Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 699-738.
    10. Timmermann, Allan & Granger, Clive W. J., 2004. "Efficient market hypothesis and forecasting," International Journal of Forecasting, Elsevier, vol. 20(1), pages 15-27.
    11. Avramov, Doron, 2002. "Stock return predictability and model uncertainty," Journal of Financial Economics, Elsevier, vol. 64(3), pages 423-458, June.
    12. Timmermann, Allan, 2008. "Elusive return predictability," International Journal of Forecasting, Elsevier, vol. 24(1), pages 1-18.
    13. 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.
    14. 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.
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    More about this item

    Keywords

    Net Present Value; Dividend forecasts; Real-time; Trading Rule; Excess volatility;

    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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