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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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    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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