The demand forecasting is essential for all production and non-production systems. However, nowadays there are only few researches on this area. Most of researches somehow benefited from simulation in the conditions of demand uncertainty. But this paper presents an iterative method to find most...

We use Google search data with the aim of predicting unemployment, CPI and consumer confidence for the US, UK, Canada, Germany and Japan. Google search queries have previously proven valuable in predicting macroeconomic variables in an in-sample context. To our knowledge, the more challenging...

Cryptocurrencies return cross-predictability and technological similarity yield information on risk propagation and market segmentation. To investigate these effects, we build a timevarying network for cryptocurrencies, based on the evolution of return cross-predictability and technological...

This study develops a scenario-based model to assess the current and future trends in energy demand in Africa and associated greenhouse gas emissions. Future energy demand is forecast on the basis of socio-economic variables such as gross domestic product, income per capita, population, and...

Many Southeast European countries are currently undergoing a process of liberalization of electric power markets. The paper analyses day-ahead price dynamics on some of these new markets and in Germany as a benchmark of a completely decentralized Western European market. To that end, several...

Overnight Federal funds and overnight Eurodollars are among the most liquid short-term assets that a bank can hold to acquire required reserves. They are traded overnight and denominated in U.S. dollars. They also have different characteristics: The Fed funds market and the Eurodollar market are...