Research Article

PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS

Volume: 5 Number: 4 December 30, 2018
EN

PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS

Abstract

Purpose- Trade goods have been used as exchange mediums since the first humans. A thousand years ago currency was invented, and it

became the dominant exchange medium in today’s world. The history of money did not end with the invention of fiat currency, such as US

Dollar or Euro. Cryptocurrency is the new development. It is not a trade good, nor a fiat money. “It is a new, experimental kind of money.”

In this study our purpose is to analyze the factors influencing investors’ decision making on investment in cryptocurrencies by using

conjoint analysis. Studies suggest that some attributes of cryptocurrencies affect decisions of investors. In this study, the attributes at

different levels related to investors’ expectations on cryptocurrencies are examined.

Methodology- In this study, conjoint analysis has been conducted. Conjoint method is a statistical analysis method and by using this

method researchers determine the value of the attributes of a product or a feature for its consumers. Conjoint analysis is a method for

analyzing preferences of customers; it is a useful tool for predicting and determining responses of customers to new product features and

totally new products. In this case customers are investors and the new product is cryptocurrencies. Conjoint analysis has several types,

choice based conjoint analysis is one of them and it is the preferred method for most of the researchers.

Findings- Data collected for the study has been analyzed by using Marketing Engineering for Excel software. The findings of the study

indicate that profitability, bookkeeping and security are the most important attributes which influence expectations of investors in

cryptocurrencies. Five attributes with five levels each are chosen. It is predicted that these attributes are the most important indicators of

investor behavior. According to research findings, most important attribute for investors is profitability. This study confirms that the

majority of investors have high profit expectation from crypto currencies. But study results also include some unexpected findings.

Anonymity is not one of the main concerns for investors and almost equal number of investors prefers very high and very low level of

bookkeeping.

Conclusion- The conjoint analysis gives a clear view on what investors expect from cryptocurrencies. The results show the attributes to

improve when developing a cryptocurrency.

Keywords

References

  1. Atzei, N., Bartoletti, M., & Cimoli, T. (2017). A survey of attacks on Ethereum smart contracts (SoK). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). http://doi.org/10.1007/978-3-662-54455-6_8
  2. Aung, Y. N., & Tantidham, T. (2018). Review of Ethereum: Smart home case study. In Proceeding of 2017 2nd International Conference on Information Technology, INCIT 2017. http://doi.org/10.1109/INCIT.2017.8257877
  3. 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. http://doi.org/10.1109/SP.2015.14
  4. Buterin, V. (2014). A Next-Generation Smart Contract and Decentralized Application Platform - Ethereum White Paper. Ethereum Project White Paper.
  5. Chohan, U. (2017). Cryptocurrencies: A Brief Thematic Review. SSRN.
  6. Conjoint Tutorial. (2018) Marketing Engineering for Excel Software
  7. Corbet, S., Lucey, B., & Yarovaya, L. (2018). Datestamping the Bitcoin and Ethereum bubbles. Finance Research Letters. http://doi.org/10.1016/j.frl.2017.12.006
  8. Dourado, E., & Brito, J. (2014). Cryptocurrency. The New Palgrave Dictionary of Economics. http://doi.org/10.1057/10.1057/9780230226203.3924

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

December 30, 2018

Submission Date

October 15, 2018

Acceptance Date

December 25, 2018

Published in Issue

Year 2018 Volume: 5 Number: 4

APA
Yilmaz, N. K., & Hazar, H. B. (2018). PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS. Journal of Economics Finance and Accounting, 5(4), 321-330. https://doi.org/10.17261/Pressacademia.2018.999
AMA
1.Yilmaz NK, Hazar HB. PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS. JEFA. 2018;5(4):321-330. doi:10.17261/Pressacademia.2018.999
Chicago
Yilmaz, Nurgun Komsuoglu, and Hulya Boydas Hazar. 2018. “PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS”. Journal of Economics Finance and Accounting 5 (4): 321-30. https://doi.org/10.17261/Pressacademia.2018.999.
EndNote
Yilmaz NK, Hazar HB (December 1, 2018) PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS. Journal of Economics Finance and Accounting 5 4 321–330.
IEEE
[1]N. K. Yilmaz and H. B. Hazar, “PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS”, JEFA, vol. 5, no. 4, pp. 321–330, Dec. 2018, doi: 10.17261/Pressacademia.2018.999.
ISNAD
Yilmaz, Nurgun Komsuoglu - Hazar, Hulya Boydas. “PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS”. Journal of Economics Finance and Accounting 5/4 (December 1, 2018): 321-330. https://doi.org/10.17261/Pressacademia.2018.999.
JAMA
1.Yilmaz NK, Hazar HB. PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS. JEFA. 2018;5:321–330.
MLA
Yilmaz, Nurgun Komsuoglu, and Hulya Boydas Hazar. “PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS”. Journal of Economics Finance and Accounting, vol. 5, no. 4, Dec. 2018, pp. 321-30, doi:10.17261/Pressacademia.2018.999.
Vancouver
1.Nurgun Komsuoglu Yilmaz, Hulya Boydas Hazar. PREDICTING FUTURE CRYPTOCURRENCY INVESTMENT TRENDS BY CONJOINT ANALYSIS. JEFA. 2018 Dec. 1;5(4):321-30. doi:10.17261/Pressacademia.2018.999

Journal of Economics, Finance and Accounting (JEFA) is a scientific, academic, double blind peer-reviewed, semiannual and open-access online journal. The journal publishes 2 issues a year. The issuing months are June and December. The publication language of the Journal is English. JEFA aims to provide a research source for all practitioners, policy makers, professionals and researchers working in the area of economics, finance, accounting and auditing. The editor in chief of JEFA invites all manuscripts that cover theoretical and/or applied researches on topics related to the interest areas of the Journal. JEFA publishes academic research studies only. JEFA charges no submission or publication fee.

Ethics Policy - JEFA applies the standards of Committee on Publication Ethics (COPE). JEFA is committed to the academic community ensuring ethics and quality of manuscripts in publications. Plagiarism is strictly forbidden and the manuscripts found to be plagiarized will not be accepted or if published will be removed from the publication. Authors must certify that their manuscripts are their original work. Plagiarism, duplicate, data fabrication and redundant publications are forbidden. The manuscripts are subject to plagiarism check by iThenticate or similar. All manuscript submissions must provide a similarity report (up to 15% excluding quotes, bibliography, abstract).

Open Access - All research articles published in PressAcademia Journals are fully open access; immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Open access is a property of individual works, not necessarily journals or publishers. Community standards, rather than copyright law, will continue to provide the mechanism for enforcement of proper attribution and responsible use of the published work, as they do now.