financeФинансы: теория и практика/Finance: Theory and PracticeFinance: Theory and Practice2587-56712587-7089Financial University under The Government of Russian Federation10.26794/2587-5671-2019-23-2-6-16finance-835Research ArticleЦИФРОВЫЕ ФИНАНСОВЫЕ АКТИВЫDIGITAL FINANCIAL ASSETSРаспределение богатства в экосистеме биткоинWealth Distribution in the Bitcoin Ecosystemhttps://orcid.org/0000-0002-7803-9146ИльинскийА. И.Il’inskiiA. I.

Aleksandr I. Il’inskii — Dr. Sci. (Eng.), Professor, Dean

ailyinsky@fa.ruhttps://orcid.org/0000-0002-2488-6315МежваЗ.MierzwaZ.

доктор экономических наук, отставной профессор

Zbigniew Mierzwa — Dr. Sci. (Econ.), Professor Emeritus

zemezhva@fa.ruФинансовый университет, МоскваРоссияFinancial University, MoscowRussian FederationВаршавский университет, ВаршаваПольшаWarsaw University, WarsawPoland201903052019232616Copyright © Ильинский А.И., Межва З., 20192019Ильинский А.И., Межва З.Il’inskii A.I., Mierzwa Z.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://financetp.fa.ru/jour/article/view/835

В статье рассматриваются проблемы измерения неравномерности распределения богатства в экосистеме биткоин. Все существующие модели распределения биткоин зависят от анализа биткоин-кошельков и биткоин-адресов. Они основаны на богатом списке биткоинов. Такого подхода недостаточно из-за непостижимых отношений между людьми, владеющими биткоинами, биткоин-кошельками и биткоин-адресами. В работе нами использовались методы сравнительного анализа с графическим изображением результатов в виде кривых Лоренца, Ламе и распределения коэффициентов Джини и индекса Кольката. Авторы определили эмпирические кумулятивные функции распределения богатства и количества адресов с положительным балансом во время пузыря и после его взрыва. Получены аппроксимации распределения «бедных» и «богатых» адресов и сделано их сравнение с другими результатами, представленными в цитируемой литературе. Широкая общественность рассматривает равенство членов сети как синоним относительно равного распределения богатства между ними. Появление финансовых пузырей, в особенности на финансовых рынках США, приводит к увеличению неравенства доходов, но после краха пузыря неравенство падает до начального уровня

The paper deals with the problems of measuring uneven wealth distribution in the bitcoin ecosystem. All existing bitcoin distribution models depend on the analysis of bitcoin wallets and bitcoin addresses. They are based on the Bitcoin Rich List. This approach is insufficient due to the inscrutable relationships between people owning bitcoin, bitcoin wallets, and bitcoin addresses. In this paper, we used the methods of comparative analysis resulted in graphics as represented by Lorentz and Lamé curves and distribution of the Gini coefficients and the Kolkata index. We identified empirical cumulative functions of wealth distribution and the number of addresses with positive balance during the bubble and after its explosion. Approximations of the distribution of ‘poor’ and ‘rich’ addresses have been obtained and compared with the other results from the cited literature. The general public views the equality of network members as synonymous with the equal distribution of wealth among them. Emerging financial bubbles, especially in the US financial markets, lead to an increase in income inequality. However, after a bubble explodes, the inequality falls to the initial level.

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The authors declare that there are no conflicts of interest present.