Money laundering rate modelling
نویسندگان
چکیده
The article continues the analysis of work model developed by authors forecasting money laundering rate. purpose study is to compare results forecast with actual data. Authors used official data Ministry Internal Affairs Russian Federation on economic crime rate for period January 2011 – July 2022. In last published work, a was formed based seasonal integrated autoregression moving average (SARIMA) 11 months 2022 from February December. This past 6 has been verified comparison values calculating relative error and RMSE (root mean square error). comparison, noted rare distribution registered cases decade: an excess number crimes in May over June. result may be as auxiliary tool analytical complexes subjects financial monitoring supervisory authorities. reflected high accuracy forecasts obtained sum periods, conclusion also made about importance observing structure dynamics operational changes parameters model.
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ژورنال
عنوان ژورنال: ??????? ????????????
سال: 2023
ISSN: ['2409-7543']
DOI: https://doi.org/10.26425/1816-4277-2023-3-153-159