Analysis of time series in economics: methods and applications

The article examines the main methods of time series analysis in economics, including both classical and modern approaches, as well as their application for forecasting economic indicators and identifying seasonal and cyclical fluctuations. Special attention is given to the analysis of modern tools, such as ARIMA and machine learning, and their role in improving the accuracy of economic forecasts.