The experimental approach is applied to explore the value of unidentified historical information in stock-return prediction. Return sequences were randomly drawn cross section and time from historical S&P500 data. Subjects were requested to predict returns or select stocks from 12 preceding realizations. The hypothesis that predictions are randomly assigned to historical sequences is rejected i...

The purpose of this study is to concentrate on the investigation of days-of-week effect on Tehran Stock Exchange and its comparison with other emerging markets. Using Classical Linear Regression (CLR) as well as Autoregressive Conditional Heteroskedasticity (ARCH) models it in indicated has indicated that there is significantly positive total return on Saturdays and significantly negative total...

this research aims to investigate relationship between skewness and future stock return and the impact of information releases on this relationship. then, the data of 89 companies listed in tehran stock exchange are collected and analyzed for 2009 to 2013. furthermore, the fixed effect panel data method is used to examine the hypothesis. the results show that there exists a negative and signifi...

Various researches have been carried out about benefits of accounting information and their influence on decision making of financial statements users. For example, many researches have examined the relationship between accounting variables and stock returns or stock price. This study determines and compares the relative and incremental content of accounting variables, too. For this purpose, th...

This research studies the companies’ effectiveness and performance relationship with stock market liquidity in Tehran Stock Exchange during 2010-2015. Simultaneously, in the study, the three indicators: return on assets, return on investment and Tobin's Q ratio were applied as a measure of the performance and bid-ask spread as a measure of liquidity, bid-ask spread to the stock market. This res...

The present study aims at investigating the relationship between firm specific risk and stock return using cross-sectional quantile regression. In order to study the power of firm specific risk in explaining cross-sectional return, a combination of Fama-Macbeth (1973) model and quantile regression is used. To this aim, a sample of 270 firms listed in Tehran Stock Exchange during 1999-2010 was i...

the relationship between financial ratios and stock return has been studied in many researches and the presence of income smoothing in tehran stock exchange (tse) has been verified. because of importance of financial reports in predicting and decision making process, income smoothing would be a critical factor in this area. in this paper, the income smoothing impact on relationship between fina...

this research applies and compares the market leverage lally method, ibbotson and sinquefield method and siegel method, to present alternative measures for market risk premium (mrp) estimation and test forecasting power of these methods in calculating expected rate of return. the higher level of leverage implies greater risk of investment in a specified stock, so higher return is expected by in...

This paper explores the mechanism on how the persistence of the stock return volatility is created using a model of an agent-based stock market. First, artificial stock markets with different learning mechanisms, i.e., individual and social learning are examined. The simulation result shows that a social learning economy produces persistence of return volatility while an individual learning eco...