Portfolio diversification across cryptocurrencies
Weiyi Liu
Finance Research Letters, 2019, vol. 29, issue C, 200-205
Abstract:
Utilizing the empirical data of ten major cryptocurrencies, this article examines the investablitiy and role of diversification in cryptocurrency market, and evaluates the out-of-sample performance of commonly used asset allocation models across cryptocurrencies. We show that portfolio diversification across different cryptocurrencies can significantly improve the investment results. We also find robust evidence that the maximum utility model dominates the out-of-sample utility, although none of the models can consistently beat the naïve 1/N portfolio in Sharpe ratio.
Keywords: Cryptocurrency; Portfolio diversification; Out-of-sample performance (search for similar items in EconPapers)
JEL-codes: G11 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (65)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612318303593
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:29:y:2019:i:c:p:200-205
DOI: 10.1016/j.frl.2018.07.010
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().