Artificial crises in financial markets: Problems of diagnosis and prevention
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Autores: Mohammad Alamarat
, Oleksandr Koval, Vicktorya Koval, Dmytro Danylchenko, Oleksandr Miroshnyk
- Localización: International Journal of Professional Business Review: Int. J. Prof.Bus. Rev., ISSN 2525-3654, ISSN-e 2525-3654, Vol. 9, Nº. 7, 2024 (Ejemplar dedicado a: Continuous publication; e04860)
- Idioma: inglés
- Enlaces
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Resumen
Purpose: The aim of this study is to diagnose and prevent crises in the country's financial markets by managing the connectedness of the attacked market with other.
Theoretical Framework: Non-statistical changes in the largest connected markets and the parameters of the attacked market's connection with them. There is a need to consider ways to counter crises by managing the connection of the attacked market with other financial markets in the country.
Design/Methodology/Approach: Methods for diagnosing crises are proposed to identify signs of a man-made crisis and strategies for its prevention. The proposed approach will prevent the actions of unscrupulous private financial market operators who want to receive unscrupulous income, stimulating volatility.
Findings: Among the most important results, it was determined that there are serious shortcomings in the organization and structure of financial markets that require active government intervention. The state can not only legislative and administrative, but also financial methods prevent the actions of dishonest operators or minimize the consequences of the crises caused by them.
Research, Practical & Social implications: This study makes it possible to identify signs of an artificial crisis and strategies for its prevention. Using the data of this study, the state operator in the financial markets can distribute its financial, administrative and informational resources in turn against its opponents and thus have a significant advantage over each of them.
Originality/Value: The value of the study lies in the fact that various methods for diagnosing financial crises are offered by studying non-statistical changes in the largest connected markets and the parameters of the attacked market's connection with them. Using this information, the state can minimize the consequences of artificial financial crises.
