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Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoin

Author

Listed:
  • Marie Brière

    (LEDa - Laboratoire d'Economie de Dauphine - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

  • Kim Oosterlinck

    (ULB - Université libre de Bruxelles)

  • Ariane Szafarz

    (Dulbéa - Département d'économie appliquée de l'université libre de Bruxelles - ULB - Université libre de Bruxelles, ULB - Université libre de Bruxelles, Centre Emile Bernheim - ULB - Université libre de Bruxelles - SBS-EM, CERMi - Centre for European Research in Microfinance)

Abstract

Bitcoin (BTC) is a major virtual currency. Using weekly data over the 2010–2013 period, we analyze a BTC investment from the standpoint of a US investor with a diversified portfolio including both traditional assets (worldwide stocks, bonds, hard currencies) and alternative investments (commodities, hedge funds, real estate). Over the period under consideration, BTC investment had highly distinctive features, including exceptionally high average return and volatility. Its correlation with other assets was remarkably low. Spanning tests confirm that BTC investment offers significant diversification benefits. We show that the inclusion of even a small proportion of BTCs may dramatically improve the risk-return trade-off of well-diversified portfolios. Results should however be taken with caution as the data may reflect early-stage behavior that may not last in the medium or long run.

Suggested Citation

  • Marie Brière & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoin," Post-Print hal-02315410, HAL.
  • Handle: RePEc:hal:journl:hal-02315410
    DOI: 10.1057/jam.2015.5
    as

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    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Huberman, Gur & Kandel, Shmuel, 1987. "Mean-Variance Spanning," Journal of Finance, American Finance Association, vol. 42(4), pages 873-888, September.
    3. Brière, Marie & Chapelle, Ariane & Szafarz, Ariane, 2012. "No contagion, only globalization and flight to quality," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1729-1744.
    4. David, Géraldine & Oosterlinck, Kim & Szafarz, Ariane, 2013. "Art market inefficiency," Economics Letters, Elsevier, vol. 121(1), pages 23-25.
    5. repec:dau:papers:123456789/7746 is not listed on IDEAS
    6. Raymond Kan & Guofu Zhou, 2012. "Tests of Mean-Variance Spanning," Annals of Economics and Finance, Society for AEF, vol. 13(1), pages 139-187, May.
    7. Renneboog, L.D.R. & Spaenjers, C., 2009. "Buying Beauty : On Prices and Returns in the Art Market," Other publications TiSEM 1ff2278f-d1ef-480f-994d-5, Tilburg University, School of Economics and Management.
    8. repec:dau:papers:123456789/7739 is not listed on IDEAS
    9. Marie Briere & Alexandre Burgues & Ombretta Signori, 2008. "Volatility Exposure for Strategic Asset Allocation," Working Papers CEB 08-034.RS, ULB -- Universite Libre de Bruxelles.
    10. Luc Renneboog & Christophe Spaenjers, 2013. "Buying Beauty: On Prices and Returns in the Art Market," Management Science, INFORMS, vol. 59(1), pages 36-53, February.
    11. Renneboog, L.D.R. & Spaenjers, C., 2013. "Buying beauty : On prices and returns in the art market," Other publications TiSEM 47e78d10-6224-4e39-9339-9, Tilburg University, School of Economics and Management.
    12. Frehen, Rik G.P. & Goetzmann, William N. & Geert Rouwenhorst, K., 2013. "New evidence on the first financial bubble," Journal of Financial Economics, Elsevier, vol. 108(3), pages 585-607.
    13. Francois R. Velde, 2013. "Bitcoin: a primer," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue Dec.
    14. Edwin J. Elton, 1999. "Presidential Address: Expected Return, Realized Return, and Asset Pricing Tests," Journal of Finance, American Finance Association, vol. 54(4), pages 1199-1220, August.
    15. William N. Goetzmann & Lingfeng Li & K. Geert Rouwenhorst, 2005. "Long-Term Global Market Correlations," The Journal of Business, University of Chicago Press, vol. 78(1), pages 1-38, January.
    16. Bodie, Zvi, 1976. "Common Stocks as a Hedge against Inflation," Journal of Finance, American Finance Association, vol. 31(2), pages 459-470, May.
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    More about this item

    Keywords

    Bitcoin; risk; return; diversification; virtual currency;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • F39 - International Economics - - International Finance - - - Other
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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