Forecasting retail trade turnover in Russia

Автор: Ippolitova V.S.

Журнал: Огарёв-online @ogarev-online

Статья в выпуске: 6 т.12, 2024 года.

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The article analyzes the dynamics of retail trade turnover in the Russian Federation for 2000 - 2022. The parabolic model is recognized as most accurately describing the main trend of the time series under study. Based on the seasonal ARIMA model, retail trade turnover was forecasted for 2023 - 2024.

Retail trade turnover, time series modeling, seasonality, forecasting, model efficiency

Короткий адрес: https://sciup.org/147250565

IDR: 147250565

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