Share:


Investigation of the feasibility of including different cryptocurrencies in the investment portfolio for its diversification

    Lina Juškaitė Affiliation
    ; Laura Gudelytė-Žilinskienė Affiliation

Abstract

Purpose – the main aim of this article is to identify cryptocurrencies suitable for investment and portfolio diversification.


Research methodology – the methodology of empirical research includes methods of scientific literature analysis, statistical data analysis, multicriteria evaluation, correlation analysis.


Findings – Bitcoin is the leading cryptocurrency, but this result could have been due to an exceptionally high market capitalization. Based on the results of the analysis, the inclusion of Bitcoin, Etherium and Dogecoin in the investment portfolio of S&P500, Euro Stoxx 50, DAX and CAC 40 indexes could be considered. Terra could be an interesting investment when considering the benefits of diversification.


Research limitations – based on the results of the study, the inclusion of all studied cryptocurrencies in the investment portfolio could be considered in order to diversify the portfolio, taking into account their investment attractiveness.


Practical implications – Cryptocurrencies attract investors not only because of the returns they receive, but also because of the absence of intermediaries, which allows them to reduce transaction costs. High returns are associated with high risks, so it is necessary to conduct as much research as possible to identify the benefits of cryptocurrencies and to find risk management strategies. One such benefit of cryptocurrencies highlighted in research is diversification.


Originality/Value – the novelty of the study lies in evaluation of 10 selected cryptocurrencies according to different criteria using a multi-criteria valuation method to identify cryptocurrencies that are non-correlated or weakly correlated with traditional assets and the most suitable for investment and for portfolio diversification.

Keyword : diversification, cryptocurrencies, investment, traditional assets

How to Cite
Juškaitė, L., & Gudelytė-Žilinskienė, L. (2022). Investigation of the feasibility of including different cryptocurrencies in the investment portfolio for its diversification. Business, Management and Economics Engineering, 20(1), 172–188. https://doi.org/10.3846/bmee.2022.16883
Published in Issue
May 11, 2022
Abstract Views
747
PDF Downloads
868
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Andrianto, Y. (2017). The effect of cryptocurrency on investment portfolio effectiveness. Journal of Finance and Accounting, 5(6), 229. https://doi.org/10.11648/j.jfa.20170506.14

Ankenbrand, T., & Bieri, D. (2018). Assessment of cryptocurrencies as an asset class by their characteristics. Investment Management and Financial Innovations, 15(3), 169–181. https://doi.org/10.21511/imfi.15(3).2018.14

Berentsen, A., & Schär, F. (2018). A short introduction to the world of cryptocurrencies. Federal Reserve Bank of St. Louis Review, 100(1), 1–16. https://doi.org/10.20955/r.2018.1-16

Bilevičienė, T., & Jonušauskas, S. (2011). Statistinių metodų taikymas rinkos tyrimuose. Mykolo Romerio universitetas.

Binda, J. (2020). Cryptocurrencies – problems of the high-risk instrument definition. Investment Management and Financial Innovations, 17(1), 227–241. https://doi.org/10.21511/imfi.17(1).2020.20

BITA. (n.d.). The Index Technology Company. Retrieved December 5, 2021, from https://www.bitadata.com/

Bondar, M. I., Stovpova, A. S., Ostapiuk, N. A., Biriuk, O. H., & Tsiatkovska, O. V. (2020). Efficiency of using cryptocurrencies as an investment asset. International Journal of Criminology and Sociology, 9, 2944–2954. https://www.lifescienceglobal.com/pms/index.php/ijcs/article/view/8078

Bondarenko, O., Kichuk, O., & Antonov, A. (2019). The possibilities of using investment tools based on cryptocurrency in the development of the national economy. Baltic Journal of Economic Studies, 5(2), 10. https://doi.org/10.30525/2256-0742/2019-5-2-10-17

Bonneau, J., Miller, A., Clark, J., Narayanan, A., Kroll, J. A., & Felten, E. W. (2015). SoK: Research perspectives and challenges for bitcoin and cryptocurrencies. In Proceedings – IEEE Symposium on Security and Privacy (pp. 104–121). IEEE. https://doi.org/10.1109/SP.2015.14

Brauneis, A., & Mestel, R. (2019). Cryptocurrency-portfolios in a mean-variance framework. Finance Research Letters, 28, 259–264. https://doi.org/10.1016/j.frl.2018.05.008

Brauneis, A., Mestel, R., & Theissen, E. (2021). What drives the liquidity of cryptocurrencies? A long-term analysis. Finance Research Letters, 39. https://doi.org/10.1016/j.frl.2020.101537

Čekanavičius, V., & Murauskas, G. (2001). Statistika ir jos taikymai, I. TEV.

Čekanavičius, V., & Murauskas, G. (2004). Statistika ir jos taikymai, II. TEV.

Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34. https://doi.org/10.1016/j.econlet.2018.01.004

CoinMarketCap. (n.d.). Cryptocurrency prices, charts and market capitalizations. Retrieved December 5, 2021, from https://coinmarketcap.com/

Cvetkova, I. (2018). Cryptocurrencies legal regulation. BRICS Law Journal, 5(2), 128–153. https://doi.org/10.21684/2412-2343-2018-5-2-128-153

Dasman, S. (2021). Analysis of return and risk of cryptocurrency bitcoin asset as investment instrument. Accounting and Finance Innovations. https://doi.org/10.5772/intechopen.99910

David, S. A., Inacio, C. M. C., Nunes, R., & Machado, J. A. T. (2021). Fractional and fractal processes applied to cryptocurrencies price series. Journal of Advanced Research, 32, 85–98. https://doi.org/10.1016/j.jare.2020.12.012

Demiralay, S., & Bayracı, S. (2021). Should stock investors include cryptocurrencies in their portfolios after all? Evidence from a conditional diversification benefits measure. International Journal of Finance and Economics, 26(4), 6188–6204. https://doi.org/10.1002/ijfe.2116

Ghorabaee, M. K., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435–451. https://doi.org/10.15388/Informatica.2015.57

Goodell, J. W., & Goutte, S. (2021). Diversifying equity with cryptocurrencies during COVID-19. International Review of Financial Analysis, 76. https://doi.org/10.1016/j.irfa.2021.101781

Huynh, T. L. D., Hille, E., & Nasir, M. A. (2020). Diversification in the age of the 4th industrial revolution: The role of artificial intelligence, green bonds and cryptocurrencies. Technological Forecasting and Social Change, 159. https://doi.org/10.1016/j.techfore.2020.120188

İçellioǧlu, C. S., & Öner, S. (2019). An Investigation on the Volatility of Cryptocurrencies by means of Heterogeneous Panel Data Analysis. Procedia Computer Science, 158, 913–920. https://doi.org/10.1016/j.procs.2019.09.131

Inci, A. C., & Lagasse, R. (2019). Cryptocurrencies: applications and investment opportunities. Journal of Capital Markets Studies, 3(2), 98–112. https://doi.org/10.1108/JCMS-05-2019-0032

Kyriazis, Ν. A., Daskalou, K., Arampatzis, M., Prassa, P., & Papaioannou, E. (2019). Estimating the volatility of cryptocurrencies during bearish markets by employing GARCH models. Heliyon, 5(8). https://doi.org/10.1016/j.heliyon.2019.e02239

Lee, D. K. C., Guo, L., & Wang, Y. (2018). Cryptocurrency: A new investment opportunity? Journal of Alternative Investments, 20(3), 16–40. https://doi.org/10.3905/jai.2018.20.3.016

Liew, J., Li, R., Budavári, T., & Sharma, A. (2019). Cryptocurrency investing examined. The Journal of the British Blockchain Association, 2(2), 1–12. https://doi.org/10.31585/jbba-2-2-(2)2019

Liu, W. (2019). Portfolio diversification across cryptocurrencies. Finance Research Letters, 29, 200–205. https://doi.org/10.1016/j.frl.2018.07.010

Liu, Y., & Zhang, L. (2021). Cryptocurrency valuation: An explainable AI approach. https://doi.org/ 10.2139/ssrn.3657986

Maleki, N., Nikoubin, A., Rabbani, M., & Zeinali, Y. (2020). Bitcoin price prediction based on other cryptocurrencies using machine learning and time series analysis. Scientia Iranica. https://doi.org/10.24200/SCI.2020.55034.4040

Mohammed, I. (2018). Crypto currency as an Emerging Investment Instrument: The Missing Link……. SSRN. https://doi.org/10.2139/ssrn.3144187

Saksonova, S., & Kuzmina-Merlino, I. (2019). Cryptocurrency as an investment instrument in a modern financial market. St Petersburg University Journal of Economic Studies, 35(2), 269–282. https://doi.org/10.21638/spbu05.2019.205

Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864

Tapscott, A., & Tapscott, D. (2017). How blockchain is changing finance. Harvard Business Review. https://capital.report/Resources/Whitepapers/40fc8a6a-cdbd-47e6-83f6-74e2a9d36ccc_finance_topic2_source2.pdf

Trimborn, S., Li, M., & Härdle, W. K. (2020). Investing with cryptocurrencies – a liquidity constrained investment approach. Journal of Financial Econometrics, 18(2), 280–306. https://doi.org/10.1093/jjfinec/nbz016

Yahoo Finance. (n.d.). Stock market live, quotes, business & finance news. Retrieved January 16, 2022, from https://finance.yahoo.com/