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Evaluation of multi-asset investment strategies with digital assets

Author

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  • Alla Petukhina

    (Humboldt-Universität zu Berlin)

  • Erin Sprünken

    (Humboldt-Universität zu Berlin)

Abstract

The drastic growth of the cryptocurrencies market capitalization boosts investigation of their diversification benefits in portfolio construction. In this paper with a set of classical and modern measurement tools, we assess the out-of-sample performance of eight portfolio allocation strategies relative to the naive 1/N rule applied to traditional and crypto-assets investment universe. Evaluated strategies include a range from classical Markowitz rule to the recently introduced LIBRO approach (Trimborn et al. in Journal of Financial Econometrics 1–27, 2019). Furthermore, we also compare three extensions for strategies with respect to input estimators applied. The results show that in the presence of alternative assets, such as cryptocurrencies, mean–variance strategies underperform the benchmark portfolio. In contrast, CVaR optimization tends to outperform the benchmark as well as geometric optimization, although we find a strong dependence of the former’s success on trading costs. Furthermore, we find evidence that liquidity-bounded strategies tend to perform very well. Thus, our findings underscore the non-normal distribution of returns and the necessity to control for liquidity constraints at alternative asset markets.

Suggested Citation

  • Alla Petukhina & Erin Sprünken, 2021. "Evaluation of multi-asset investment strategies with digital assets," Digital Finance, Springer, vol. 3(1), pages 45-79, March.
    • Handle: RePEc:spr:digfin:v:3:y:2021:i:1:d:10.1007_s42521-021-00031-9
    DOI: 10.1007/s42521-021-00031-9
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    References listed on IDEAS

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    1. John Stonehouse & Guy Forrester, 1998. "Robustness of the t and U tests under combined assumption violations," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(1), pages 63-74.
    2. Victor DeMiguel & Lorenzo Garlappi & Raman Uppal, 2009. "Optimal Versus Naive Diversification: How Inefficient is the 1-N Portfolio Strategy?," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 1915-1953, May.
    3. Simon Trimborn & Mingyang Li & Wolfgang Karl Härdle, 2020. "Investing with Cryptocurrencies—a Liquidity Constrained Investment Approach," Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 280-306.
    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. Philippe Artzner, 1999. "Application of Coherent Risk Measures to Capital Requirements in Insurance," North American Actuarial Journal, Taylor & Francis Journals, vol. 3(2), pages 11-25.
    6. 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.
    7. Bessler, Wolfgang & Wolff, Dominik, 2015. "Do commodities add value in multi-asset portfolios? An out-of-sample analysis for different investment strategies," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 1-20.
    8. 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.
    9. Klein, Tony & Pham Thu, Hien & Walther, Thomas, 2018. "Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 105-116.
    10. Wolfgang Bessler & Heiko Opfer & Dominik Wolff, 2017. "Multi-asset portfolio optimization and out-of-sample performance: an evaluation of Black–Litterman, mean-variance, and naïve diversification approaches," The European Journal of Finance, Taylor & Francis Journals, vol. 23(1), pages 1-30, January.
    11. David Bosch, 2017. "The impact of market participants' interaction on futures prices: comparing three US wheat futures markets," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 6(2), pages 120-148.
    12. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
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    Cited by:

    1. Minglian Lin & Indranil SenGupta, 2023. "Analysis of optimal portfolio on finite and small-time horizons for a stochastic volatility model with multiple correlated assets," Papers 2302.06778, arXiv.org, revised Dec 2023.

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    More about this item

    Keywords

    Portfolio management; Asset allocation; Investments; Alternative assets; Bitcoin; Cryptocurrencies; LIBRO;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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