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handle: 10419/251306
We investigate the performance of funds that specialise in cryptocurrency markets. In doing so, we contribute to a growing literature that aims to understand the value of digital assets as investments. The main empirical results provide support to the idea that cryptocurrency funds generate significantly positive alphas compared to passive benchmarks or conventional risk factors. To understand whether the outperformance arises from the skills or luck of fund managers, we compare the actual fund alphas against the simulated values from a panel semi-parametric bootstrap approach. The analysis shows that the extreme outperformance is unlikely to be explained by the luck of fund managers. However, the significance of the alphas becomes statistically weaker after considering the cross-sectional correlation in fund returns.
G17, Cryptocurrency markets, 330, ddc:330, Alternative investments, E44, G12, Bootstrap methods, C5, Fund management
G17, Cryptocurrency markets, 330, ddc:330, Alternative investments, E44, G12, Bootstrap methods, C5, Fund management
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 37 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |