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Do Diamond Stocks Shine Brighter than Diamonds?

Author

Listed:
  • Vera Jotanovic

    (Louvain Finance and CORE, Center for Research Operations and Econometrics, 1348 Louvain-la-Neuve, Belgium)

  • Rita Laura D’Ecclesia

    (Department of Statistical Sciences, Sapienza University of Rome, 00185 Rome, Italy)

Abstract

This paper addresses two practical investment questions: Is investing in the diamond equity market a more feasible and liquid alternative to investing in diamonds? Additionally, is diamond equity affected by polished diamond prices? We assemble an original database of diamond mining stock prices traded on main stock exchanges in order to assess their relationship with diamond prices. Our results show that the market of diamond-mining stocks does not represent a valid investment alternative to the diamond commodity. Diamond equity returns are not driven by diamond price dynamics but rather by local market stock indices.

Suggested Citation

  • Vera Jotanovic & Rita Laura D’Ecclesia, 2019. "Do Diamond Stocks Shine Brighter than Diamonds?," JRFM, MDPI, vol. 12(2), pages 1-19, May.
    • Handle: RePEc:gam:jjrfmx:v:12:y:2019:i:2:p:79-:d:227995
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    References listed on IDEAS

    as
    1. Renneboog, Luc & Spaenjers, Christophe, 2012. "Hard assets: The returns on rare diamonds and gems," Finance Research Letters, Elsevier, vol. 9(4), pages 220-230.
    2. Nicolas Vaillant & François-Charles Wolff, 2013. "Understanding Diamond Pricing Using Unconditional Quantile Regressions," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(11), pages 1540-1561.
    3. Debora L. Spar, 2006. "Markets: Continuity and Change in the International Diamond Market," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 195-208, Summer.
    4. Frank Scott & Aaron Yelowitz, 2010. "Pricing Anomalies In The Market For Diamonds: Evidence Of Conformist Behavior," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 353-368, April.
    5. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    6. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    7. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    8. Nicolas Vaillant & François-Charles Wolff, 2013. "Understanding Diamond Pricing Using Unconditional Quantile Regressions," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(11), pages 1540-1561, November.
    9. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    11. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    12. Fowler, David J. & Rorke, C. Harvey, 1983. "Risk measurement when shares are subject to infrequent trading : Comment," Journal of Financial Economics, Elsevier, vol. 12(2), pages 279-283, August.
    13. repec:bla:jfinan:v:53:y:1998:i:3:p:1015-1052 is not listed on IDEAS
    14. Rita Laura D’Ecclesia & Vera Jotanovic, 2018. "Are diamonds a safe haven?," Review of Managerial Science, Springer, vol. 12(4), pages 937-968, October.
    15. Auer, Benjamin R. & Schuhmacher, Frank, 2013. "Diamonds — A precious new asset?," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 182-189.
    16. Low, Rand Kwong Yew & Yao, Yiran & Faff, Robert, 2016. "Diamonds vs. precious metals: What shines brightest in your investment portfolio?," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 1-14.
    17. Jorion, Philippe, 1990. "The Exchange-Rate Exposure of U.S. Multinationals," The Journal of Business, University of Chicago Press, vol. 63(3), pages 331-345, July.
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    Cited by:

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    3. Christian M. Hafner, 2020. "Alternative Assets and Cryptocurrencies," JRFM, MDPI, vol. 13(1), pages 1-3, January.

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