Bitcoin in Portfolio Selection: A Multivariate Distribution Approach

Mario I. Contreras-Valdez, José Antonio Núñez and Guillermo Benavides Perales

SAGE Open, 2022, vol. 12, issue 2, 21582440221096124

Abstract: This study presents a multivariate study regarding Bitcoin and its interactions with other financial assets of different classes. This is done by adjusting a multivariate semi heavy-tailed distribution to portfolios containing indexes, currencies, and commodities and one cryptocurrency. Later, a rolling window is deployed to obtain the dynamic parameters of the distribution in a weekly basis. With a Markowitz specification problem, the optimal portfolio weights are computed dynamically using the parameters of the multivariate NIG distribution as inputs. The results provide evidence that correlations of Bitcoin with other assets may provide certain degree of diversification to portfolios; nevertheless, the high volatility of this asset makes it unpractical to employ in significant weights. This paper is relevant for researchers and practitioners as it provides a new tool to manage portfolios with cryptocurrencies and more reliable weights to the asset allocation.

Keywords: multivariate NIG; portfolio optimization; Bitcoin (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440221096124 (text/html)

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:sae:sagope:v:12:y:2022:i:2:p:21582440221096124

DOI: 10.1177/21582440221096124

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().