Transformation of funding sources during the COVID-19 pandemic
| Autor: | Yu Rui Zhang, A. Z. Nurmagambetova, M. H. Abenova, N. Berdimurat, A. S. Jondelbayeva |
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| Jazyk: | English<br />Kazakh<br />Russian |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Экономика: стратегия и практика, Vol 16, Iss 2, Pp 32-45 (2021) |
| Druh dokumentu: | article |
| ISSN: | 1997-9967 2663-550X |
| DOI: | 10.51176/1997-9967-2021-2-32-45 |
| Popis: | The rapid spread of the COVID-19 pandemic in the world in the second half of 2020 caused a decline in the country’s external economy. The demand crisis in most sectors of the world economy triggered a global collapse of stock market indices and a sharp drop in energy prices.The period of the pandemic also affected the financial behavior of investors. Recent research on the impact of the COVID-19 pandemic confirms the relationship between financial attitudes and behavior, which contains more questions than statements. In this article, the authors studied the behavior of investors during the crisis (COVID-19). The article analyzes the method of an artificial neural network (ANN). The study will help academics and policymakers understand investor behavior and their impact on financial reporting performance. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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