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Knight in shining armor: Ambiguity and gold prices

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  • Karahan, Cenk C.

Abstract

Knightian uncertainty, or ambiguity, posits that investors prefer known risks over unknown risks, a behavior referred to as ambiguity aversion. This study examines the influence of ambiguity on gold’s behavior as a safe-haven asset, focusing on its impact on the net convenience yield — a key measure of the intrinsic value of holding physical gold. Using a market-based measure of ambiguity rooted in the volatility of probabilities, the analysis finds a consistent and significant positive effect on gold’s convenience yield. The findings remain robust across alternative uncertainty measures, model specifications, and extended time periods, including an ambiguity measure derived from the US Dollar index and daily range spot gold data. This study underscores the superiority of the market-based ambiguity measure over traditional uncertainty proxies and highlights the role of ambiguity aversion in reinforcing gold’s safe-haven status during periods of heightened uncertainty.

Suggested Citation

  • Karahan, Cenk C., 2025. "Knight in shining armor: Ambiguity and gold prices," Economics Letters, Elsevier, vol. 248(C).
  • Handle: RePEc:eee:ecolet:v:248:y:2025:i:c:s0165176525000552
    DOI: 10.1016/j.econlet.2025.112218
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    References listed on IDEAS

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    1. Wu, Shan & Tong, Mu & Yang, Zhongyi & Derbali, Abdelkader, 2019. "Does gold or Bitcoin hedge economic policy uncertainty?," Finance Research Letters, Elsevier, vol. 31(C), pages 171-178.
    2. Larry G. Epstein & Martin Schneider, 2008. "Ambiguity, Information Quality, and Asset Pricing," Journal of Finance, American Finance Association, vol. 63(1), pages 197-228, February.
    3. Bouoiyour, Jamal & Selmi, Refk & Wohar, Mark E., 2018. "Measuring the response of gold prices to uncertainty: An analysis beyond the mean," Economic Modelling, Elsevier, vol. 75(C), pages 105-116.
    4. 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.
    5. 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.
    6. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    7. Gozgor, Giray & Lau, Chi Keung Marco & Sheng, Xin & Yarovaya, Larisa, 2019. "The role of uncertainty measures on the returns of gold," Economics Letters, Elsevier, vol. 185(C).
    8. Joscha Beckmann & Theo Berger & Robert Czudaj, 2019. "Gold price dynamics and the role of uncertainty," Quantitative Finance, Taylor & Francis Journals, vol. 19(4), pages 663-681, April.
    9. Anderson, Evan W. & Ghysels, Eric & Juergens, Jennifer L., 2009. "The impact of risk and uncertainty on expected returns," Journal of Financial Economics, Elsevier, vol. 94(2), pages 233-263, November.
    10. Easley, David & O'Hara, Maureen, 2010. "Liquidity and valuation in an uncertain world," Journal of Financial Economics, Elsevier, vol. 97(1), pages 1-11, July.
    11. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    12. Brenner, Menachem & Izhakian, Yehuda, 2018. "Asset pricing and ambiguity: Empirical evidence⁎," Journal of Financial Economics, Elsevier, vol. 130(3), pages 503-531.
    13. Pindyck, Robert S, 1993. "The Present Value Model of Rational Commodity Pricing," Economic Journal, Royal Economic Society, vol. 103(418), pages 511-530, May.
    14. Garman, Mark B & Klass, Michael J, 1980. "On the Estimation of Security Price Volatilities from Historical Data," The Journal of Business, University of Chicago Press, vol. 53(1), pages 67-78, January.
    15. Izhakian, Yehuda, 2020. "A theoretical foundation of ambiguity measurement," Journal of Economic Theory, Elsevier, vol. 187(C).
    16. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    17. Bilgin, Mehmet Huseyin & Gozgor, Giray & Lau, Chi Keung Marco & Sheng, Xin, 2018. "The effects of uncertainty measures on the price of gold," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 1-7.
    18. Itamar Drechsler, 2013. "Uncertainty, Time-Varying Fear, and Asset Prices," Journal of Finance, American Finance Association, vol. 68(5), pages 1843-1889, October.
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    Keywords

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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