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The Information Content of the Gilt-Equity Yield Ratio

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  • Levin, Eric J
  • Wright, Robert E

Abstract

In principle, the gilt-equity yield ratio (GEYR) can be used as a decision criterion for choosing between equity and bonds because the GEYR is sensitive to miss-pricing. However, the GEYR is also influenced by other variables. Consequently, observed movement in the GEYR cannot be confidently attributed to miss-pricing without controlling for the other variables which might cause the GEYR to vary. This paper demonstrates that the GEYR can be used as a signal to switch profitably between equity and bonds provided that the GEYR threshold value indicating a profitable switch is adjusted to incorporate changes in variables such as expected inflation and the equity risk premium. Simple empirical experiments are carried out aimed at evaluating how well the GEYR performs as a trading rule. Copyright 1998 by Blackwell Publishers Ltd and The Victoria University of Manchester

Suggested Citation

  • Levin, Eric J & Wright, Robert E, 1998. "The Information Content of the Gilt-Equity Yield Ratio," The Manchester School of Economic & Social Studies, University of Manchester, vol. 66(0), pages 89-101, Supplemen.
    • Handle: RePEc:bla:manch2:v:66:y:1998:i:0:p:89-101
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    Cited by:

    1. GIOT, Pierre & PETITJEAN, Mikael, 2005. "Dynamic asset allocation between stocks and bonds using the Bond-Equity Yield Ratio," LIDAM Discussion Papers CORE 2005010, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Alain Durré & Pierre Giot, 2007. "An International Analysis of Earnings, Stock Prices and Bond Yields," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(3‐4), pages 613-641, April.
    3. Pierre Giot & Mikael Petitjean, 2009. "Short-term market timing using the bond-equity yield ratio," The European Journal of Finance, Taylor & Francis Journals, vol. 15(4), pages 365-384.
    4. Nebojsa Dimic & Vitaly Orlov & Janne Äijö, 2019. "Bond–Equity Yield Ratio Market Timing in Emerging Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1), pages 52-79, April.
    5. Giot, Pierre & Petitjean, Mikael, 2007. "The information content of the Bond-Equity Yield Ratio: Better than a random walk?," International Journal of Forecasting, Elsevier, vol. 23(2), pages 289-305.
    6. Andreas Humpe & David G. McMillan, 2018. "Equity/bond yield correlation and the FED model: evidence of switching behaviour from the G7 markets," Journal of Asset Management, Palgrave Macmillan, vol. 19(6), pages 413-428, October.
    7. Chris Brooks & Sotiris Tsolacos, 2001. "International Evidence of the Predictability of Prices of Securititised Real Estate Assets: Econometric Models versus Neural Networks," ICMA Centre Discussion Papers in Finance icma-dp2001-08, Henley Business School, University of Reading.
    8. David McMillan & Mark Wohar, 2013. "UK stock market predictability: evidence of time variation," Applied Financial Economics, Taylor & Francis Journals, vol. 23(12), pages 1043-1055, June.
    9. Brooks, Chris & Persand, Gita, 2001. "The trading profitability of forecasts of the gilt-equity yield ratio," International Journal of Forecasting, Elsevier, vol. 17(1), pages 11-29.
    10. McMillan, David G., 2019. "Stock return predictability: Using the cyclical component of the price ratio," Research in International Business and Finance, Elsevier, vol. 48(C), pages 228-242.

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