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A Particle Swarm Optimization Copula-Based Approach with Application to Cryptocurrency Portfolio Optimisation
| Content Provider | MDPI |
|---|---|
| Author | Mai, Magdaline Mbong Jules, Clément |
| Copyright Year | 2022 |
| Description | Blockchain and cryptocurrency are gradually going mainstream with new cryptocurrencies introduced every single day. The speculative nature of these digital assets expose their prices to large fluctuations. Trading these crypto-assets necessitate an adequate understanding of this emerging market as well as adequate tools to model the market risk and efficient allocation of funds. This may assist crypto investors in taking advantage of the highly volatile aspects of these assets. The portfolio consider in this study consists of six cryptocurrencies: four traditional cryptocurrencies (BTC, ETH, BNB and XRP) and two stablecoins (USDT and USDC). We examine the copula particle swarm optimization (CPSO) portfolio strategy against three other portfolio strategies, namely, the global minimum variance (GMV), the most diversified portfolio (MDP) and the minimum tail dependent (MTD). CPSO appears to be a promising strategy during extreme market conditions while GMV seem favorable during normal market conditions. Most importantly, hedge and safe-havens ability of the two stablecoins is clearly exhibited with CPSO, while their diversification property is inhibited. |
| Starting Page | 285 |
| e-ISSN | 19118074 |
| DOI | 10.3390/jrfm15070285 |
| Journal | Journal of Risk and Financial Management |
| Issue Number | 7 |
| Volume Number | 15 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-06-28 |
| Access Restriction | Open |
| Subject Keyword | Journal of Risk and Financial Management Information and Library Science Cryptocurrencies Copula Particle Swarm Optimization Differential Evolution Cvar |
| Content Type | Text |
| Resource Type | Article |
