Cryptocurrencies and tokens lifetime analysis from 2009 to 2021

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dc.contributor.author Gatabazi, Paul
dc.contributor.author Kabera, Gaetan
dc.contributor.author Mba, Jules Clement
dc.contributor.author Pindza, Edson
dc.contributor.author Melesse, Sileshi Fanta
dc.date.accessioned 2022-07-20T14:21:53Z
dc.date.available 2022-07-20T14:21:53Z
dc.date.issued 2022-03-09
dc.description.abstract The success of Bitcoin has spurred emergence of countless alternative coins with some of them shutting down only few weeks after their inception, thus disappearing with millions of dollars collected from enthusiast investors through initial coin offering (ICO) process. This has led investors from the general population to the institutional ones, to become skeptical in venturing in the cryptocurrency market, adding to its highly volatile characteristic. It is then of vital interest to investigate the life span of available coins and tokens, and to evaluate their level of survivability. This will make investors more knowledgeable and hence build their confidence in hazarding in the cryptocurrency market. Survival analysis approach is well suited to provide the needed information. In this study, we discuss the survival outcomes of coins and tokens from the first release of a cryptocurrency in 2009. Non-parametric methods of time-to-event analysis namely Aalen Additive Hazards Model (AAHM) trough counting and martingale processes, Cox Proportional Hazard Model (CPHM) are based on six covariates of interest. Proportional hazards assumption (PHA) is checked by assessing the Kaplan-Meier estimates of survival functions at the levels of each covariate. The results in different regression models display significant and non-significant covariates, relative risks and standard errors.Among the results, it was found that cryptocurrencies under standalone blockchain were at a relatively higher risk of collapsing. It was also found that the 2013–2017 cryptocurrencies release was at a high risk as compared to 2009–2013 release and that cryptocurrencies for which headquarters are known had the relatively better survival outcomes. This provides clear indicators to watch out for while selecting the coins or tokens in which to invest. en_US
dc.description.department Mathematics and Applied Mathematics en_US
dc.description.librarian dm2022 en_US
dc.description.uri https://www.mdpi.com/journal/economies en_US
dc.identifier.citation Paul Gatabazi, Gaëtan Kabera, Jules Clement Mba, Edson Pindza, and Sileshi Fanta Melesse. 2022. Cryptocurrencies and Tokens Lifetime Analysis from 2009 to 2021. Economies 10: 60. https://doi.org/10.3390/economies10030060. en_US
dc.identifier.issn 2227-7099 (online)
dc.identifier.other 10.3390/economies10030060
dc.identifier.uri https://repository.up.ac.za/handle/2263/86332
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.rights © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_US
dc.subject Cryptocurrency en_US
dc.subject Blockchain en_US
dc.subject Survival function en_US
dc.subject Risk en_US
dc.subject Weight en_US
dc.subject Hazard ratio en_US
dc.subject Initial coin offering (ICO) en_US
dc.title Cryptocurrencies and tokens lifetime analysis from 2009 to 2021 en_US
dc.type Article en_US


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