Evidence map›Paper›PMID 37628238›Full record

ArticleEntropy (Basel, Switzerland)2023

A K-Means Classification and Entropy Pooling Portfolio Strategy for Small and Large Capitalization Cryptocurrencies.

Jules Clement Mba, Ehounou Serge Eloge Florentin Angaman

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Jules Clement MbaSchool of Economics, College of Business and Economics, University of Johannesburg, Auckland Park, P.O. Box 524, Johannesburg 2006, South Africa.ORCID 0000-0001-6462-6385
Ehounou Serge Eloge Florentin AngamanSchool of Economics, College of Business and Economics, University of Johannesburg, Auckland Park, P.O. Box 524, Johannesburg 2006, South Africa.ORCID 0000-0002-0518-5986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we propose three portfolio strategies: allocation based on the normality assumption, the skewed-Student t distribution, and the entropy pooling (EP) method for 14 small- and large-capitalization (cap) cryptocurrencies. We categorize our portfolios into three groups: portfolio 1, consisting of three large-cap cryptocurrencies and four small-cap cryptocurrencies from various K-means classification clusters; and portfolios 2 and 3, consisting of seven small-cap and seven large-cap cryptocurrencies, respectively. Then, we investigate the performance of the proposed strategies on these portfolios by performing a backtest during a crypto market crash. Our backtesting covers April 2022 to October 2022, when many cryptocurrencies experienced significant losses. Our results indicate that the wealth progression under the normality assumption exceeds that of the other two strategies, though they all exhibit losses in terms of final wealth. In addition, we found that portfolio 3 is the best-performing portfolio in terms of wealth progression and performance measures, followed by portfolios 1 and 2, respectively. Hence, our results suggest that investors will benefit from investing in a portfolio consisting of large-cap cryptocurrencies. In other words, it may be safer to invest in large-cap cryptocurrencies than in small-cap cryptocurrencies. Moreover, our results indicate that adding large- and small-cap cryptocurrencies to a portfolio could improve the diversification benefit and risk-adjusted returns. Therefore, while cryptocurrencies may offer potentially high returns and diversification benefits in a portfolio, investors should be aware of the risks and carefully consider their investment objectives and risk tolerance before investing in them.

Indexed as

backtestingcryptocurrenciesentropy poolingK-means classification

Identifiers

PMID37628238
PMCPMC10453386

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LicenceCC BY
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