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Predicting the equity premium with the demand for gold coins and bars

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  • Baur, Dirk G.
  • Löffler, Gunter

Abstract

In this paper, we propose novel predictor variables for forecasting stock market returns. We investigate the predictive power of the demand for gold coins and bars as a proxy for the risk premium consistent with the safe haven property of gold. The gold demand variables reflect the behaviour of retail investors and thus also represent a new class of predictors. Our analysis shows that the demand for gold is positively correlated with future stock returns and enhances the predictive power of the dividend yield and other variables.

Suggested Citation

  • Baur, Dirk G. & Löffler, Gunter, 2015. "Predicting the equity premium with the demand for gold coins and bars," Finance Research Letters, Elsevier, vol. 13(C), pages 172-178.
  • Handle: RePEc:eee:finlet:v:13:y:2015:i:c:p:172-178
    DOI: 10.1016/j.frl.2015.01.007
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    References listed on IDEAS

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    1. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    2. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    3. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    4. George M. Korniotis & Alok Kumar, 2013. "State-Level Business Cycles and Local Return Predictability," Journal of Finance, American Finance Association, vol. 68(3), pages 1037-1096, June.
    5. John H. Cochrane, 2008. "The Dog That Did Not Bark: A Defense of Return Predictability," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1533-1575, July.
    6. Fama, Eugene F. & French, Kenneth R., 1988. "Dividend yields and expected stock returns," Journal of Financial Economics, Elsevier, vol. 22(1), pages 3-25, October.
    7. Virginie Coudert & Hélène Raymond-Feingold, 2011. "Gold and financial assets: Are there any safe havens in bear markets?," Economics Bulletin, AccessEcon, vol. 31(2), pages 1613-1622.
    8. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-386.
    9. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    10. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2013. "International Stock Return Predictability: What Is the Role of the United States?," Journal of Finance, American Finance Association, vol. 68(4), pages 1633-1662, August.
    11. Michael Johannes & Arthur Korteweg & Nicholas Polson, 2014. "Sequential Learning, Predictability, and Optimal Portfolio Returns," Journal of Finance, American Finance Association, vol. 69(2), pages 611-644, April.
    12. Ilan Cooper & Richard Priestley, 2013. "The World Business Cycle and Expected Returns," Review of Finance, European Finance Association, vol. 17(3), pages 1029-1064.
    13. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.
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    Cited by:

    1. Hoang, Thi-Hong-Van & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Is gold different for risk-averse and risk-seeking investors? An empirical analysis of the Shanghai Gold Exchange," Economic Modelling, Elsevier, vol. 50(C), pages 200-211.
    2. Joscha Beckmann & Theo Berger & Robert Czudaj & Thi-Hong-Van Hoang, 2019. "Tail dependence between gold and sectorial stocks in China: perspectives for portfolio diversification," Empirical Economics, Springer, vol. 56(3), pages 1117-1144, March.
    3. Abdelbari El Khamlichi & Thi Hong Van Hoang & Wing‐keung Wong, 2016. "Is Gold Different for Islamic and Conventional Portfolios? A Sectorial Analysis," Post-Print hal-02965765, HAL.
    4. Nguyen, Duc Binh Benno & Prokopczuk, Marcel & Wese Simen, Chardin, 2019. "The risk premium of gold," Journal of International Money and Finance, Elsevier, vol. 94(C), pages 140-159.
    5. Hoang, Thi-Hong-Van & Zhu, Zhenzhen & El Khamlichi, Abdelbari & Wong, Wing-Keung, 2019. "Does the Shari’ah screening impact the gold-stock nexus? A sectorial analysis," Resources Policy, Elsevier, vol. 61(C), pages 617-626.
    6. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).

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    More about this item

    Keywords

    Equity premium; Stock returns; Gold; Gold bars; Gold coins; Predictive regressions;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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