In the euro area, monetary policy is conducted by a single central bank for 19 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European...

Most factor-based forecasting models for the term structure of interest rates depend on a fixed number of factor loading functions that have to be specified in advance. In this study, we relax this assumption by building a yield curve forecasting model that learns new factor decompositions...

Accurate short-term forecasting of public transport demand is essential for the operation of on-demand public transport. Knowing where and when future demands for travel are expected allows operators to adjust timetables quickly, which helps improve service quality and reliability and attract...

The inventory management and production planning of parts with irregular demand patterns are challenging for manufacturing companies. These patterns often occur in the strategically critical spare parts sector, where the inventory and capital commitment costs are high. For this reason, an...

Machine learning have made a large number of novel applications in various domains in finance. Though more complex and advanced models have been proposed and explored in literatures, the input data to the models and how the raw features are preprocessed, remains important. This article provides...

Artificial intelligence, notwithstanding global challenges, is playing an increasingly important part in global development, in particular international financial markets. On the one hand, with the assistance of artificial intelligence, a customized investment portfolio can be compiled. On the...