Author:
Alfieri Elise,Burlacu Radu,Enjolras Geoffroy
Abstract
Purpose
The purpose of this article is to provide some insights on the true nature of bitcoin and to study empirically its performance by using robust models, widely used in the academic literature. Previous studies assess performance with simple measures such as the Sharpe ratio. Such measures are insufficient because they do not take into account the bitcoin’s specificities, such as the possibilities to diversify risk.
Design/methodology/approach
The authors use quantitative methodologies to assess the performance of financial assets. Performance is defined as a risk-adjusted return. The authors use regression analysis and measure bitcoin’s performance as the constant term (α) of the projection of its returns on the returns of relevant factors of risk.
Findings
Bitcoin has low correlation with the market index and with factor-mimicking portfolios, which indicates opportunities to diversify risk. The performance of bitcoin (α) is positive and significant; this result is robust across period and world region specifications.
Research limitations/implications
The true nature of bitcoin is subject of debate and needs further research. Furthermore, other factors should be considered in analysing the bitcoin’s performance, such as those related to investors’ behaviour or political risk.
Practical implications
The empirical results obtained in this paper may be used by professional portfolio managers to diversify risk and to enhance their portfolio’s performance.
Originality/value
This paper adds to the literature by arguing that bitcoin has the nature of common stock, and therefore, its performance has to be assessed with models that are relevant for this type of securities. This paper is the first using performance models that adjust returns for relevant sources of risk.
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3. Price dynamics and speculative trading in bitcoin;Research in International Business and Finance,2018
4. On the hedge and safe haven properties of bitcoin: is it really more than a diversifier?;Finance Research Letters,2016
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