This study introduces a novel approach to predicting global oil demand by integrating machine learning (ML) techniques to forecast consumption across seven refined oil products and seven key regions. By aggregating these forecasts, we offer a comprehensive view of global demand trends. The paper...

This study introduces a novel approach to predicting global oil demand by integrating machine learning (ML) techniques to forecast consumption across seven refined oil products and seven key regions. By aggregating these forecasts, we offer a comprehensive view of global demand trends. The paper...

В работе представлен сравнительный статистический анализ изменения модели рождаемости и режима дожития населения Украины и отдельных восточно-европейских...

В публикации анализируется специфика разработки прогнозного сценария в современных российских условиях, раскрывается экономическая архитектоника аграрного...

We address some of the key questions that arise in forecasting the price of crude oil. What do applied forecasters need to know about the choice of sample period and about the tradeoffs between alternative oil price series and model specifications? Are real and nominal oil prices predictable...