This study proposes a novel neural-network-based fuzzy group forecasting model for foreign exchange rates prediction. In the proposed model, some single neural network models are first used as predictors for foreign exchange rates prediction. Then these single prediction results produced by each single neural network models are fuzzified into some fuzzy prediction representations. Subsequently,...

â â â â â â â â â â â  â  abstract â  the foreign exchange market (fx market) accounts for 40% of the total volume of the world’s e-commerce by its own. based on statistics, sometimes up to 90 per cent of the traders lose their total capital in this market just within six months to one year and leave this market. the probability of loss in the fx market can be estimated by probability theory....

First language acquisition requires relatively little effort compared to foreign language acquisition and happens more naturally through informal learning. Informal exposure can also benefit foreign language learning, although evidence for this has been limited to speech perception and production. An important question is whether informal exposure to spoken foreign language also leads to vocabu...

real exchange rate is one of the most important macroeconomic variables which affects various economic sectors. as the effect of real exchange rate variation is not equal in different sectors and due to importance of industrial development in economic development of country, this paper have investigated the effect of real exchange rate changes on  8 manufacturing subsectors over the period 1353...

The aim of this annual workshop is to offer a forum for young researchers from the field of International Economics to present and to discuss their current topics of research with other experts. The workshop also provides the opportunity to gain an overview of recent developments, problems and methodological approaches in this field. The aim of this paper is to investigate the market efficiency...