https://www.mdu.se/

Firms engaging in international trade are subject to risk from fluctuation of currency exchange rates. Although such risk can be actively managed with suitable hedging strategies, the problem is a complex one, and small firms rarely have access to required expertise. This paper proposes a hybrid intelligent system, called HYNES, which integrates neural network and expert system technologies, to support exchange rate risk management in small firms. The three phases of the development of HYNES, the analysis, design and implementation, are briefly discussed, giving some attention to the open problems of general intelligent systems development.