Crypto-assets portfolio optimization under the omega measure
Javier Gutiérrez Castro,
Edison Américo Huarsaya Tito,
Luiz Eduardo Teixeira Brandão and
Leonardo Lima Gomes
The Engineering Economist, 2020, vol. 65, issue 2, 114-134
Abstract:
Crypto-currencies, or crypto-assets, represent a new class of investment assets. The traditional portfolio analysis approach of Markowitz is not appropriate for use with portfolios containing crypto-assets, as the model requires that the investor have a quadratic utility function or that the returns be normally distributed, which isn’t the case for crypto-assets. We develop a portfolio optimization model based on the Omega measure which is more comprehensive than the Markowitz model, and apply this to four crypto-asset investment portfolios by means of a numerical application. The results indicate that these portfolios should favor traditional market assets over crypto-assets. In the case of portfolios formed only by crypto-assets, there is no clear preference in favor of any crypto-asset in particular.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0013791X.2019.1668098 (text/html)
Access to full text is restricted to subscribers.
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:taf:uteexx:v:65:y:2020:i:2:p:114-134
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTEE20
DOI: 10.1080/0013791X.2019.1668098
Access Statistics for this article
The Engineering Economist is currently edited by Sarah Ryan
More articles in The Engineering Economist from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().