This study aims at determining the personality traits and investment patterns in the stock market and presenting the pattern with a behavioral finance approach. This is an applied, descriptive- survey, and cross-sectional study. The statistical population includes real investors in the Tehran Stock Exchange. The required information was collected using questionnaire and was analyzed using SPSS ...

us 2008 financial crisis, spreaded out across the international stock markets in the second half of the year 2008. the crisis decreased the returns and increased the volatilities of almost all of the stock indices, however, its effects on iran’s stock markets were unexplored. financial limitations create an exclusive situation in iran’s stock market. using weekly data on the stock indices from ...

one of the issues that in recent decades in the field of information economy is rapidly expanding economy under information and discussion in this major economic problem of asymmetric information is related. as we know in today's world information and trading stock market performance is the core. lateral velocity and symmetry of the main role of information and market efficiency is critical. on...

The aim of this study was to investigate the asymmetric effects of exchange rate fluctuations on Stock index of Tehran Stock Exchange. For this purpose, we first calculated the exchange rate fluctuations using model General Autoregressive Conditional Heteroskedastic (GARCH), and then the effect of these fluctuations on the Stock index of Tehran Stock Exchange was estimated using the Generalized...

This paper examines the causal relationship between stock prices and macroeconomic aggregates in Iran, by applying the techniques of the long–run Granger non–causality test proposed by Toda and Yamamoto (1995). We test the causal relationships between the TEPIX Index and the three macroeconomic variables: money supply, value of trade balance, and industrial production using quarterly data for t...

using the treynor and mazoy model (expanded by fama to evaluate management performance for asset allocation among investment units), this paper examines the management’s performance in funds and investment companies in tehran stock exchange during 2004-2010. the results do not support the application of management market timing during the study period and managers were only able to create addit...

Stock prediction with artificial neural network (ANN) techniques is one of the most important issues in finance being investigated by researchers across the globe. ANN techniques can be used extensively in the financial markets to help investors make qualitative decision. In this methodology a multilayer perception (M.L.P) neural network model is used to determine and explore the relationship b...