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Cryptocurrency

Authors: Dr. Shubhangi DC; Dr. M.A Waheed; Qureshi, Ayesha Mohammadi; Dr. Basavaraj Gadgay;
Abstract

{"references": ["Spithoven, A. (2019). Theory and reality of cryptocurrency governance. Journal of Economic Issues, 53(2), 385-393. DOI-: https://doi.org/10.1080/00213624.2019.1594518. \"Distributed ledger technology: beyond blockchain,\" Tech. Rep., 2016, uK Government Chief Scientific Adviser. Andrianto, Y. and Diputra, Y. (2017), \"The effect of cryptocurrency on investment portfolio effectiveness\", Journal of Finance and Accounting, Vol. 5 No. 6, pp. 229-238. Anyfantaki, S., Arvanitis, S. and Topaloglou, N. (2018), \"Diversification, integration and cryptocurrency market\", working paper, Bank of Greece, Athens, March 1. Biais, B., Bisi\u00e8re, C., Bouvard, M. and Casamatta, C. (2019), \"The blockchain folk theorem\", Review of Financial Studies, Vol. 32 No. 5, pp. 1662-1715. Borri, N. (2019), \"Conditional tail-risk in cryptocurrency markets\", Journal of Empirical Finance, Vol. 50 No. C, pp. 1-19. H. Adams, N. Zinsmeister, and D. Robinson, \"Uniswap v2 core,\" tech. rep., 2020. M. Egorov, \"Stableswap-efficient mechanism for stablecoin liquidity,\" tech. rep., 2019."]}

Despite the widespread interest in cryptocurrencies and the many studies into DLT, very little has been done to examine cryptocurrencies themselves. This paper presents a landscape of a subset of cryptocurrencies in order to give business and technical analysis to practitioners in light of the fast growing quantity and variety of cryptocurrencies. Specific details are provided that shed light on usual cryptocurrency's layout and operation in business world. The study's created landscape reports current status of cryptocurrencies and may be utilized as a foundation for further cryptocurrency research and analysis.

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Keywords

Cryptocurrency, Blockchain, Distributed Ledger Technology.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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