Skip to main content
Log in

Analyzing Cryptocurrencies

  • Published:
Information Systems Frontiers Aims and scope Submit manuscript

Abstract

Cryptocurrencies, such as Bitcoin, have been an important factor in some economic activities. For example, Bitcoin is the main payment method for ransomware attackers and retailers on the Darknet. It is therefore useful to understand the features of cryptocurrencies and their economic implications. In this research, we use bitcoin, Ether, and XRP, the three cryptocurrencies with the highest market values as of this writing, as well as Libra, which is forthcoming and topical, as examples to analyze their features. Specifically, we argue that these cryptocurrencies are fundamentally different due to differences in the following factors: the identity management of their ledger writers, their consensus algorithms, and their coin supply. We discuss how these factors determine cryptocurrency performance, including security, privacy, and financial influence. We also discuss potential research topics around these cryptocurrencies that are still open.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. See https://www.blockchain.com/en/stats.

References

  • August, T., Dao, D., & Niculescu, M. F. (2019). Economics of ransomware attacks. Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3351416. Accessed 22 November 2019.

  • Banks, J. S. (2000). Buying supermajorities in finite legislatures. American Political Science Review, 94(3), 677–681.

    Article  Google Scholar 

  • Bell, S. (2001). The role of the state and the hierarchy of money. Cambridge Journal of Economics, 25(2), 149–163.

    Article  Google Scholar 

  • Benjamin, V., Valacich, J. S., & Chen, H. (2019). DICE-E: A framework for conducting Darknet identification, collection, evaluation with ethics. MIS Quarterly, 43(1), 1–22.

  • Brunnermeier, M. K., & Niepelt, D. (2019). On the equivalence of private and public money. National Bureau of Economic Research no. w25877.

  • Garratt, R., & Tröger, T. (2006). Speculation in standard auctions with resale. Econometrica, 74(3), 753–769.

    Article  Google Scholar 

  • Groseclose, T., & Snyder, J. M. (1996). Buying supermajorities. American Political Science Review, 90(2), 303–315.

    Article  Google Scholar 

  • Kiyotaki, N., & Wright, R. (1989). On money as a medium of exchange. Journal of Political Economy, 97(4), 927–954.

    Article  Google Scholar 

  • Lamport, L., Shostak, R., & Pease, M. (1982). The byzantine generals problem. ACM Transactions on Programming Languages and Systems (TOPLAS), 4(3), 382–401.

    Article  Google Scholar 

  • Li, X., & Whinston, A. B. (2019a). Public blockchain security and bribery among its writers. Working paper.

  • Li, X., & Whinston, A. B. (2019b). Externalities of paying ransom to attackers. Working paper.

  • Minsky, H. P. (1986). Stabilizing an unstable economy. New Haven: Yale University Press.

    Google Scholar 

  • Mundell, R. A. (1961). A theory of optimum currency areas. The American Economic Review, 51(4), 657–665.

    Google Scholar 

  • Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Available at https://bitcoin.org/bitcoin.pdf.

  • Popper, N. (2019). Telegram pushes ahead with plans for “gram” cryptocurrency. New York Times, August 27, https://www.nytimes.com/2019/08/27/technology/telegram-cryptocurrency-gram.html. Accessed 22 November 2019.

  • Wu, R., Geng, X., & Whinston, A. B. (2012). A generalized model of partial resale. Decision Support Systems, 53(1), 108–117.

    Article  Google Scholar 

  • Zhao, Y., & Zhu, Q. (2014). Evaluation on crowdsourcing research: Current status and future direction. Information Systems Frontiers, 16(3), 417–434.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaofan Li.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, X., Whinston, A.B. Analyzing Cryptocurrencies. Inf Syst Front 22, 17–22 (2020). https://doi.org/10.1007/s10796-019-09966-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10796-019-09966-2

Keywords

Navigation