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Dynamic asymmetric dependence and portfolio management in cryptocurrency markets

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  • Li, Danyang
  • Shi, Yukun
  • Xu, Liao
  • Xu, Yahua
  • Zhao, Yang

Abstract

As a new form of digital assets based on blockchain technology, the cryptocurrency has received increasing attention from researchers and practitioners. However, less attention has been paid to their joint dynamics from the perspective of portfolio management. This paper investigates the dependence dynamics across four major cryptocurrencies and their economic importance in portfolio management using the data from January 2014 to June 2020. Our empirical analysis shows that significant economic gains can be obtained from modelling dynamic asymmetric dependence among cryptocurrencies. We show that our results are robust to the period of the recent market fluctuations caused by COVID-19.

Suggested Citation

  • Li, Danyang & Shi, Yukun & Xu, Liao & Xu, Yahua & Zhao, Yang, 2022. "Dynamic asymmetric dependence and portfolio management in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 48(C).
    • Handle: RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322001295
    DOI: 10.1016/j.frl.2022.102829
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    Cited by:

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    2. Oliveira, Alexandre Silva de & Ceretta, Paulo Sergio & Albrecht, Peter, 2023. "Performance comparison of multifractal techniques and artificial neural networks in the construction of investment portfolios," Finance Research Letters, Elsevier, vol. 55(PA).
    3. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Chopra, Ritika & Dev, Dhairya, 2024. "Past, present, and future of block-chain in finance," Journal of Business Research, Elsevier, vol. 177(C).

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    More about this item

    Keywords

    Cryptocurrency; Dependence structure; Portfolio management; COVID-19;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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