Development of a model for predicting money laundering rate
The article suggests model for predicting the level of money laundering on the basis of data from the Ministry of Internal Affairs of the Russian Federation on the state of economic crime in Russia since the beginning of 2011. Using a seasonally integrated autoregressive moving average (SARIMA) mode...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Publishing House of the State University of Management
2022-07-01
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| Series: | Вестник университета |
| Subjects: | |
| Online Access: | https://vestnik.guu.ru/jour/article/view/3574 |
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