Yelena Patashkova

@turan-edu.kz

Media and intercultural communication
Turan University

RESEARCH, TEACHING, or OTHER INTERESTS

Linguistics and Language, Finance

3

Scopus Publications

Scopus Publications

  • A Comparative Analysis of the Issues Related to Fintech Development in Kazakhstan and China
    Yelena Patashkova, Madina Serikova, and Galina Margatskaya

    Uniwersytet Lodzki (University of Lodz)
    The relevance of fintech development in Kazakhstan is evident due to the ever‑growing role of financial technologies not only there but also worldwide. This expansion is closely tied to the progress of electronic commerce and advertising, technical development, socio‑demographic changes, and social development. The article identifies problem areas of fintech development in Kazakhstan and provides practical methods for solving them. The main research method is structural‑analytical, which combines all the problem areas of fintech into structural units and considers their importance. A forecasting method is also applied to predict certain scenarios of fintech development in Kazakhstan. The practical methods of solving the issues related to fintech development can be characterised as methodological, analytical, informative, effective, and predictive. The predictive component made it possible to determine the obstacles in fintech development and ways to achieve results. The results are of great importance due to the relevance of fintech in Kazakhstan. Although it is likely to develop well, there are numerous obstacles, both public and private, and the measures for overcoming the problematic areas will be important and effective. Given the country’s advantages, Kazakhstan is capable of becoming a leader in financial technology start‑ups.

  • Analysis of Mortgage Lending in Conditions of Instability
    Shakizada U. Niyazbekova, Galina S. Margatskaya, Yelena S. Patashkova, Oksana A. Stepannikova, and Baldyrgan K. Jazykbayeva

    Springer International Publishing

  • Dynamics of Bitcoin trading on the Binance cryptocurrency exchange
    , Yelena Patashkova, Shakizada Niyazbekova, , Seyit Kerimkhulle, , Madina Serikova, , Marija Troyanskaya, and

    Institute of Society Transformation sp. z o.o.
    Currently, there are a great number of platform-projects and frameworks based on blockchain technology. Consequently, it is necessary to define the most relevant blockchain platforms and analyze them taking into consideration a variety of features. Also, there is a need to investigate the logistics growth and the price of Bitcoin on the Binance cryptocurrency exchange. The authors have examined modern technologies used by manufacturing companies in the field of fintech in the context of the 2019-2024 period. The results show that sensors and automatic identification take the leading position both at present and in 2024. Aartificial intelligence and blockchain are also in demand by manufacturers today, however in the nearest future their ranking positions will increase sixfold from 10% to 60%. In the current paper the authors review the largest companies that effectively use blockchain technology in their businesses. The conducted survey shows that 18% of companies use blockchain technology based on Bitcoin. The authors have analysed a number of Bitcoin transactions for the period from January 2017 to February 2021 and concluded that the COVID-19 pandemic has had a favourable effect on the indicator data. A maximum number of transactions equal to 10.15 million was carried out in July 2020. Using the method of the Ordinary Least Squares (OLS) and statistical estimation methods the authors have revealed an underestimation of the equilibrium state of the empirical distribution of price data and the volume of daily trading of Bitcoin on the Binance cryptocurrency exchange through the channel of the right-hand confidence interval. The blockchain technology based on Bitcoin has positively reacted to the macroeconomic factors such as the COVID-19 pandemics and further growth in Bitcoin transactions is expected. With the help of economic modelling, the authors have defined the predictable volume and the price of Bitcoin on the Binance cryptocurrency exchange.