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Application of methods for calculating income of digital rights of monetary claims

https://doi.org/10.1234/1993-0453-2023-11-229-107-116

Abstract

The article discusses a new trend in the modern Russian economy – digital financial assets. They introduce their own features into the activities of issuers and investors in the financial markets, complementing the already known methods and principles. The above study focuses on the possibility of applying groupings used for classic securities and bonds to digital financial assets. The methods of calculating income for digital instruments are evaluated in relation to the rights of monetary claims as the only digital financial instrument currently existing on the Russian financial market. The formulas used by various well-known issuers and examples of calculating income on financial instruments are given. A comparative analysis of some key indicators of digital financial asset issues is being done. To evaluate digital instruments, the income for which is not explicitly set by the issuer in decisions on the issue of digital financial assets, but is associated with the onset of an event, it is proposed to use expert systems and artificial intelligence systems.

About the Author

R. M. Idrisov
Volga Region State University of Service
Russian Federation

Rinat M. Idrisov – graduate student of the Volga Region State University of Service.

Toglyatti



References

1. Kovaleva E. Digital future of financial assets. URL: https://plusworld.ru/articles/56638/ (date of access: 11.09.2023).

2. Development of distributed ledger technology : a report for public consultations / Central Bank of the Russian Federation. Moscow, 2017. URL: https://cbr.ru/Content/Document/File/50678/Consultation_Paper_171229.pdf (date of access: 23.09.2023).

3. Analytical review on the topic "Smart contracts" / Central Bank of the Russian Federation. Moscow, 2018. URL: https://cbr.ru/Content/Document/File/47862/SmartKontrakt_18-10.pdf (date of access: 23.09.2023).

4. On digital financial assets, digital currency and on amendments to certain legislative acts of the Russian Federation : federal law No. 259-FZ dated 31.07.2020 (latest edition). URL: https://www.consultant.ru/document/cons_doc_LAW_358753/ (date of access: 23.09.2023).

5. On the securities market : federal law No. 39-FZ dated 22.04.1996 (latest edition). URL: https://www.consultant.ru/document/cons_doc_LAW_10148/ (date of access: 23.09.2023).

6. Berdnikova T.B. Securities market and exchange business : textbook. Moscow : INFRA-M, 2002. 268 p.

7. Decision on the issue of digital financial assets No. ALFB-1-DTD-00021 / Alfabank JSC. Oct. 04, 2023. URL: https://xn--80a3bf.xn--p1ai/cfa-vypusk.html (date of access: 08.10.2023).

8. Decision on the issue of digital financial assets No. RTK-1-072023-00001 / PJSC Rostelecom. Apr. 10, 2023. URL: https://xn--80a3bf.xn--p1ai/cfa-vypusk.html (date of access: 08.09.2023).

9. Berdnikova T.B. Valuation of securities : textbook. Moscow : INFRA-M, 2006. 143 p.

10. Decision on the issue of digital financial assets No.DC77771E / Sberbank of Russia PJSC. Sept. 8, 2023. URL: https://xn--80a3bf.xn--p1ai/cfa-vypusk.html (date of access: 20.09.2023).

11. Expert systems // The Great Russian Encyclopedia, 2004–2017. URL: https://old.bigenc.ru/mathematics/text/4927730 (date of access: 09.09.2023).

12. Expert systems in financial and economic activities. URL: http://www.tora-centre.ru/library/razn/finan.htm (date of access: 09.09.2023).

13. Methodology for assigning credit ratings to digital financial assets : draft document for collecting comments from market participants / Analytical Credit Rating Agency. 2023. URL: https://www.acra-ratings.ru/upload/iblock/61b/35s4jwbg9u5y2ypmlnnh9nynxskxl24a/20230613_Draft_DFA-Methodology_ru.pdf (date of access: 11.09.2023).

14. Dadyan E.G. Expert system of Russian financial market research // Humanities, socio-economic and social sciences. 2015. No. 3-2. Pp. 139–143.

15. Aliyev B.N. The evolution of the labor market and the role of artificial intelligence on the stock exchange // Innovations and investments. 2023. No. 10. Pp. 247–253.

16. Tersky S. The first DFAs for gold with repayment in rubles or bullion appeared in Russia. URL: https://www.rbc.ru/crypto/news/654ca3bb9a79471360c1aef3 (date of access: 10.11.2023).

17. Borisov V.V., Bobryakov A.V., Misnik A.E. Expert systems : textbook. Smolensk : Universum, 2021. 110 p.


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For citations:


Idrisov R.M. Application of methods for calculating income of digital rights of monetary claims. Vestnik of Samara State University of Economics. 2023;(11):107-116. (In Russ.) https://doi.org/10.1234/1993-0453-2023-11-229-107-116

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ISSN 1993-0453 (Print)