Forecasting Key Indicators of EU International Trade Based on Hybrid Models that Combine SARIMAX and ANN

The scientific paper is dedicated to forecasting key indicators of international trade in the European Union (EU) using hybrid models. The study employs innovative approaches that combine various forecasting methods, such as statistical models, machine learning, and econometric methods. The impact of external factors on EU international trade is examined, and hybrid models that take these influences into account are developed. The research results allow for understanding and predicting changes in EU trade flows considering the complex factors affecting this process.