the LISAR model against competing models on synthetic data, showing that LISAR outperforms in forecasting accuracy and … equally good for up to 91% of the time series under consideration in terms of forecasting accuracy. We show in this study … higher accuracy, better forecasting results, and improves the understanding of market movements and sectoral structures. …

Allocation algorithm. For the forecasting experiment, we select 10 sign-adjusted topics that show strong correlations with GDP … information beyond professional forecasts. In an out-of-sample forecasting experiment, we also find that combining Dynamic Factor … solely on hard data across all forecasting horizons, with the greatest improvements seen in nowcasts. These results …

Precise demand forecasting and agile pricing strategies are crucial in modern business. This study aims to enhance … develops robust forecasting algorithms using real-world data. It evaluates HWES and ARIMA in capturing demand fluctuations … patterns over time. In the context of supply chain and inventory management, efficient demand forecasting and dynamic pricing …