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Does Bitcoin add value to global industry portfolios?

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  • Damianov, Damian S.
  • Elsayed, Ahmed H.

Abstract

Bitcoin has been increasingly viewed as a new form of investment, yet its role as an asset in a diversified industry portfolio is not well understood. In this paper, we explore the dynamic interdependence between Bitcoin and the ten global industry sectors classified by the Global Industry Classification Standard. We find, in accordance with previous literature, that Bitcoin is relatively isolated from traditional industries. While the near-zero correlation with traditional financial assets offers some diversification benefits to investors, these benefits are counterbalanced by the volatility of the asset. Bitcoin’s optimal presence in a minimum variance portfolio is only about 1 percent – a weight that is robust to various methods for estimating the return covariance matrix. Bitcoin’s optimal weight in portfolios maximizing Sharpe and Sortino ratios are on the magnitude of 10 to 20 percent. Hence, the value of Bitcoin as an asset in a diversified portfolio critically depends on investors’ views about the future of Blockchain technology.

Suggested Citation

  • Damianov, Damian S. & Elsayed, Ahmed H., 2020. "Does Bitcoin add value to global industry portfolios?," Economics Letters, Elsevier, vol. 191(C).
  • Handle: RePEc:eee:ecolet:v:191:y:2020:i:c:s0165176519304768
    DOI: 10.1016/j.econlet.2019.108935
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    Cited by:

    1. Elsayed, Ahmed H. & Gozgor, Giray & Lau, Chi Keung Marco, 2022. "Risk transmissions between bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties," International Review of Financial Analysis, Elsevier, vol. 81(C).
    2. Thomas F. P. Wiesen & Lakshya Bharadwaj, 2023. "Cryptocurrency Connectedness: Does Controlling for the Cross-Correlations Matter?," Applied Economics Letters, Taylor & Francis Journals, vol. 30(20), pages 2873-2880, November.
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    4. Foley, Sean & Li, Simeng & Malloch, Hamish & Svec, Jiri, 2022. "What is the expected return on Bitcoin? Extracting the term structure of returns from options prices," Economics Letters, Elsevier, vol. 210(C).
    5. Andreas Renard Widarto & Harjum Muharam & Sugeng Wahyudi & Irene Rini Demi Pangestuti, 2022. "ASEAN-5 and Crypto Hedge Fund: Dynamic Portfolio Approach," SAGE Open, , vol. 12(2), pages 21582440221, April.
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    7. Gao, Lingbo & Ye, Wuyi & Guo, Ranran, 2022. "Jointly forecasting the value-at-risk and expected shortfall of Bitcoin with a regime-switching CAViaR model," Finance Research Letters, Elsevier, vol. 48(C).
    8. ALIU Florin & NUHIU Artor & KNAPKOVA Adriana & LUBISHTANI Ermal & TRAN Khang, 2021. "Do Cryptocurrencies Offer Diversification Benefits For Equity Portfolios?," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 16(2), pages 5-18, August.
    9. Aktham Maghyereh & Hussein Abdoh, 2022. "COVID-19 and the volatility interlinkage between bitcoin and financial assets," Empirical Economics, Springer, vol. 63(6), pages 2875-2901, December.
    10. Akhtaruzzaman, Md & Boubaker, Sabri & Nguyen, Duc Khuong & Rahman, Molla Ramizur, 2022. "Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis," Finance Research Letters, Elsevier, vol. 47(PB).
    11. Rahat, Birjees & Nguyen, Pascal, 2022. "Risk-adjusted investment performance of green and black portfolios and impact of toxic divestments in emerging markets," Energy Economics, Elsevier, vol. 116(C).
    12. Alexander Guzmán & Christian Pinto-Gutiérrez & María-Andrea Trujillo, 2021. "Trading Cryptocurrencies as a Pandemic Pastime: COVID-19 Lockdowns and Bitcoin Volume," Mathematics, MDPI, vol. 9(15), pages 1-15, July.
    13. Elsayed, Ahmed H. & Naifar, Nader & Nasreen, Samia & Tiwari, Aviral Kumar, 2022. "Dependence structure and dynamic connectedness between green bonds and financial markets: Fresh insights from time-frequency analysis before and during COVID-19 pandemic," Energy Economics, Elsevier, vol. 107(C).
    14. Yarovaya, Larisa & Zięba, Damian, 2022. "Intraday volume-return nexus in cryptocurrency markets: Novel evidence from cryptocurrency classification," Research in International Business and Finance, Elsevier, vol. 60(C).
    15. Zhang, Dingxuan & Sun, Yuying & Duan, Hongbo & Hong, Yongmiao & Wang, Shouyang, 2023. "Speculation or currency? Multi-scale analysis of cryptocurrencies—The case of Bitcoin," International Review of Financial Analysis, Elsevier, vol. 88(C).
    16. Ishtiaq Ahmad Bajwa & Shafiq Ur Rehman & Abid Iqbal & Zaheer Anwer & Murtaza Ashiq & Muhammad Ajmal Khan, 2022. "Past, Present and Future of FinTech Research: A Bibliometric Analysis," SAGE Open, , vol. 12(4), pages 21582440221, October.
    17. Khaki, Audil & Prasad, Mason & Al-Mohamad, Somar & Bakry, Walid & Vo, Xuan Vinh, 2023. "Re-evaluating portfolio diversification and design using cryptocurrencies: Are decentralized cryptocurrencies enough?," Research in International Business and Finance, Elsevier, vol. 64(C).
    18. Mirza, Nawazish & Abbas Rizvi, Syed Kumail & Saba, Irum & Naqvi, Bushra & Yarovaya, Larisa, 2022. "The resilience of Islamic equity funds during COVID-19: Evidence from risk adjusted performance, investment styles and volatility timing," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 276-295.
    19. Iwanicz-Drozdowska Małgorzata & Rogowicz Karol & Smaga Paweł, 2023. "Market-moving events and their role in portfolio optimization of generations X, Y, and Z," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 59(4), pages 371-397, December.
    20. Rubaiyat Ahsan Bhuiyan & Afzol Husain & Changyong Zhang, 2023. "Diversification evidence of bitcoin and gold from wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-36, December.
    21. Chowdhury, Md Shahedur R. & Damianov, Damian S. & Elsayed, Ahmed H., 2022. "Bubbles and crashes in cryptocurrencies: Interdependence, contagion, or asset rotation?," Finance Research Letters, Elsevier, vol. 46(PB).
    22. Lu, Shuai & Li, Shouwei & Chen, Ning, 2022. "Robust return efficiency and herding behavior of fund managers," Finance Research Letters, Elsevier, vol. 46(PA).

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    More about this item

    Keywords

    Bitcoin; Global industry sectors; Return spillovers; Portfolio diversification;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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