there are different strategies for selecting stocks, and different investors use different strategies according to their risk tolerance or their expected rate of return. in this study, the profitability of a broad range of stock se-lection strategies in tehran stock exchange over the period 1370-1383, has been examined, and it has been investigated whether the successful strategies in other cou...

abstract the current study aims to investigate the relationship between iran’s targeted subsidies plan and the stock returns of listed companies on the tehran stock exchange (tse). stock returns is obtained from the indices of three industries: pharmaceuticals, chemicals, and machinery and equipment. moreover, the present research uses gold price and dollar price as control variables. the targe...

There are different strategies for selecting stocks, and different investors use different strategies according to their risk tolerance or their expected rate of return. In this study, the profitability of a broad range of stock se-lection strategies in Tehran Stock Exchange over the period 1370-1383, has been examined, and it has been investigated whether the successful strategies in other cou...

return and volatility spillovers are important for portfolio selection, asset valuation and market efficiency investigation. using a var-bekk framework model, this paper investigates return and volatility spillover effects between three size-sorted equity indices in tehran stock exchange (tse). although daily return of large stocks leads small stocks (lead-lag effect), there wasn’t any spillove...

the purpose of this research is to examine the existence of seasonality in the stock market return, its volatility and trading amount associated with moving calendar events such as the holy month of ramadan using a garch specification and data for the tehran stock exchange (tse) from april 1998 to june 2010. the result shows a statistically significant increase in returns and a systematic patte...

modelling and forecasting stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. this nonlinearity affects the efficiency of the price characteristics. using an artificial neural network (ann) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

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...

Structural shifts characterize the volatility of the Korean stock and foreign exchange markets during the 1997 Asian financial crisis. This paper employs an unrestricted bivariate GARCH-M model of stock market returns to investigate empirically the effects of daily currency depreciation on Korean stock market returns. The evidence shows that currency depreciation significantly affects stock mar...

The present research proposes an automatic system based on moving average (MA) and fuzzy logic to recognize technical analysis patterns including head and shoulder patterns, triangle patterns and broadening patterns in the Tehran Stock Exchange. The automatic system was used on 38 indicators of Tehran Stock Exchange within the period 2014-2017 in order to evaluate the effectiveness of technical...

There have been several efforts in the literature to extract as much information as possible from the financial networks. Most of the research has been concerned about the hierarchical structures, clustering, topology and also the behavior of the market network; but not a notable work on the network filtration exists. This paper proposes a stock market filtering model using the correlation - ba...