This paper presents a method for a short-term stock index prediction. The source data comes from the German Stock Exchange (being the target market) and two other markets (Tokyo Stock Exchange and New York Stock Exchange) together with EUR/USD and USD/JPY exchange rates. Neural networks supported by a genetic algorithm (GA) are used as the prediction engine. Except for promising numerical resul...

In this paper, we present a model that simulates the behaviour of a heterogenous collection of nancial traders on a market. Each trader is modelled as an autonomous, interactive agent and the agregation of their behavior results in market behaviour. We speci cally look at the role of information arriving at the market and the in uence of heterogeneity on market dynamics. The main conclusions ar...

The present study first investigates the asymmetry of speedup - delay (gain and loss) and Sign Effect in Tehran Stock Exchange, then examine the effect of gender on the discount rate and explain it with the loss aversion. The sample is 403 investors in Tehran Stock Exchange, and the nonparametric Tests are used to test the research hypotheses. The research results show that there is an asymmetr...

in today’s world, markets are no longer under the limitations of a specific location and the importance of this issue is illustrated in effective decision making of economic agents, because the world financial markets are considered often valuable guideline for domestic and foreign markets. in this research, due to the connections between world stock markets, stock markets in countries with the...

developing countries, including iran, have a high degree of volatility of macroeconomic variables. fluctuations inex change rate, bank interest rate and inflation rate can create insecure environment for in vestorsin iran. hence, this study examined the impact of macroeconomic variables on the tobin’s q index for the sugar companies of tehran stock exchange (tse) during the period between1380-1...