In this study, we proposed a new approach to foreign exchange market studies, an artificial market approach. The artificial market approach integrated fieldwork studies and multiagent models in order to explain the micro and macro relation in markets. The artificial market approach has the three steps: First, in order to investigate the learning patterns of actual dealers, we carried out both i...

One of the most important effects of exchange rate movementsisitseffecton the exporting price of different products. According to the new trade theories, market structure plays an important role in relating exchange rate depreciations to price declines. In Iran, exchange rate has increased in recent years.Inspired by this assumption, this paper attempts to investigate the impact of exchange rat...

We examine the relationship between market structure and the persistence of US dollar-based sectoral real exchange rates for 14 OECD countries. Our empirical results based on disaggregated data suggest that differences in market structure significantly determine the rates at which deviations from sectoral purchasing power parity decay. Specifically, industries with a larger price-cost margin ar...

This paper investigates the intradaily operational efficiency of the U. S. foreign exchange market by conducting computer simulation experiments with market structure (the numbers of market—makers, brokers and customers). The results indicate significant operational inefficiencies which can be explained by temporary inventory imbalances inherent in a decentralized market. The results also sugge...

This paper studies co-evolution of di erent decision rules in an arti cial foreign exchange market. The behavior of the exchange rate depends on the type of decision rules that agents use. Evolution of the moving average and least squares forecasting techniques results in a speculative attack on one of the currencies and that currency's eventual collapse. Addition of the rules that evolve the p...

The goal of this research is to predict total stock market index of Tehran Stock Exchange, using the compound method of ARIMA and neural network in order for the active participations of finance market as well as macro decision makers to be able to predict trend of the market. First, the series of price index was decomposed by wavelet transform, then the smooth's series  predicted by using...