Abstract
The monetary basis of the digital economy is electronic money and cryptographic objects that have specific characteristics, consideration of which significantly complicate accounting and control. In order to ensure the identification, inventory and valuation of crypto assets, it is necessary to optimize the methodology and organization of accounting for electronic money transactions in the digital economy. The purpose of the article is to improve the inventory control and accounting assessment methodology from the point of view of the current and future value of electronic and cryptographic money in the context of electronic money transactions. The article substantiates the possibility of a permanent automatic inventory of electronic and cryptographic money funds based on the information synchronization of crypto exchanges (electronic transactions operators) with specialized software for automation of accounting. The procedure for carrying out inventory control of electronic money and cryptocurrencies in terms of types of electronic transactions has been improved. The features of accounting valuation of crypto assets characterized by intangible nature, significant volatility, speculative nature, confidentiality, decentralization, etc. have been determined. The methodology of accounting valuation of crypto assets has been optimized with the determination of their initial and future value in the context of distinguishing types of electronic transactions, as well as the need to revalue accounting objects used as a means of circulation or as investment and financial instruments. The methodology for valuation of newly created crypto assets has been clarified in terms of taking into account the costs of labor and social insurance, electricity and utilities, and depreciation of equipment related to the maintenance of the electronic transaction system. The use of the author's proposals will contribute to reliable and timely accounting of electronic and cryptographic money funds.
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More From: Central Ukrainian Scientific Bulletin. Economic Sciences
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