Abstract
This paper investigates the portfolio diversification potential of a pool of cryptocurrencies classified based on their degree of leadership. We employ the mean-variance and the higher-order moments optimization approaches to evaluate the diversification potential of centralized and decentralized cryptocurrencies across multiple frameworks. While theoretical implications of the mean-variance and the higher-order moments optimization approaches are similar, our results suggest that the latter provides a more precise portfolio allocation strategy because it considers investor risk-aversion for each moment. Furthermore, we find that extending the pool of cryptocurrencies achieves marginal diversification benefits due to considerable co-movements among the cryptocurrencies. Moreover, we find that decentralized cryptocurrencies offer greater diversification potential than centralized cryptocurrencies, although centralized cryptocurrencies carry some diversification potential during alt-seasons. In order of their weights, Bitcoin, Chainlink, and Ethereum (all decentralized) offer the highest contribution to portfolio diversification across most portfolio frameworks, while Ethereum offers greater diversification benefits during the alt-seasons.
| Original language | English |
|---|---|
| Article number | 101823 |
| Number of pages | 25 |
| Journal | Research in International Business and Finance |
| Volume | 64 |
| DOIs | |
| Publication status | Published - Jan 2023 |
Bibliographical note
Publisher Copyright:© 2022 Elsevier B.V.
Keywords
- Altcoins
- Bitcoin
- Centralized cryptocurrencies
- Decentralized cryptocurrencies
- Portfolio diversification
- Portfolio optimization
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