demand. The paper deploys a hybrid approach of artificial intelligence techniques: artificial neural network and genetic … algorithms, to devise a methodological framework for developing forecasting models of global crude oil demand. We piloted two … applicability of the proposed methodology for developing oil demand outlook using artificial intelligence.The input variables of the …

This paper identifies supply and demand shocks that are specific to the oil-market, and separates them from economy …-wide shocks that affect the demand for many asset classes, including oil. The shocks are identified by the sign and magnitude of …

This paper introduces a simple methodology to forecast international trade. The main innovation is to calculate non …-unitary expenditure elasticities of import demand implied by non-homothetic preferences in the previous year to be further combined with …-level imports, we test the performance of the methodology in forecasting international imports. The methodology is successful in …

funds. Demand forecasts are central to the case for investment. Air passenger markets are highly dynamic and strongly …-cost business models emerged. Liberalisation also stimulated re-organisation of network services with concentration of demand on a … few hub airports. Demand for air services increases rapidly as incomes rise, but the market is not homogenous and …