In this paper, an Adaptive Rival Penalized Competitive Learning and Combined Linear Prediction model is applied to the forecast of stock price and exchange rate. As shown by the experimental results, this approach not only is better than Elman Net and MA(q) models in the criterion of root mean square error, but also can bring in more returns in the trade between US dollar (USD) and German Deuts...

Inspector, an expert system, was implemented to assist foreign exchange management in the monitoring of trader activity and the compliance of risk management policies. The knowledge of senior foreign exchange managers, traders, controllers, and auditors is contained in an expert system shell, Nexpert Object. The foreign exchange deals from all Manufacturer's Hanover Trust (MHT) branches are rec...

Neuro-fuzzy (NF) decision-making technology is designed and implemented to obtain the optimal daily currency trading rule. We find that a non-linear artificial neural network (ANN) exchange rate microstructure model combined with a fuzzy logic controller (FLC) generates a set of trading strategies that, on average, earn a higher rate of return compared to the simple buy-and-hold strategy. We al...

Recent changes in the German energy policy initiated a deregulation process from a monopolistic to a competitive market, fundamentally changing the market structure, transaction relationships and trading processes. While the mutual exchange of electric energy has been a business activity between vertically integrated utilities for a long time, wholesale electricity trading in an open market onl...

Recent changes in the German energy policy initiated a deregulation process from a monopolistic to a competitive market, fundamentally changing the market structure, transaction relationships and trading processes. While the mutual exchange of electric energy has been a business activity between vertically integrated utilities for a long time, wholesale electricity trading in an open market onl...