the stock evaluation process plays an important role in portfolio selection because it is the prerequisite for investment and directly influences on the stock allocation. this paper presents a methodology based on data envelopment analysis for portfolio selection, decision making units which can be stocks or other financial assets. first, dmus efficiencies are computed based on input/output com...

recently, the economic crisis has resulted in instability in stock exchange market and this has caused high volatilities in stock value of exchanged firms. under these conditions, considering uncertainty for a favorite investment is more serious than before. multi-objective portfolio selection (return, liquidity, risk and initial cost of investment objectives) using minmax fuzzy goal programmin...

This paper studies the link between population age structure, net outflows (dividends plus repurchases less net issues) from the stock market, and stock market returns in an overlapping generations framework. I find support for the traditional lifecycle models — the outflows from the stock market are positively correlated with the changes in the fraction of old people (65 and over) and negative...

The purpose of this study was to investigate the relationship between stock futures fall risk with non-transparent financial reporting at three levels of size, efficiency and return on equity, in the period 2010 to 2014 was in Tehran Stock Exchange. The population of the study are all companies listed in Tehran Stock Exchange. Data collected and calculated by using Excel software Eviews 7 been ...

During 1999-2001 more than 35 million messages about public firms were posted on Yahoo! Finance. This paper examines whether stocks with high posting levels also have unusual subsequent returns and/or risk. They do. Stocks with the highest level of posting have unusually high realized volatility and unusually poor subsequent returns. This remains true after accounting for the effects of the mar...

the aim of this paper is how to predict stock return by using accounting ratios and also by using the procedure of neural network. this paper has considered the prediction of stock return by using accounting ratios with two procedures, the artificial neural network and least square regression. the independent variables in this paper are accounting ratios and dependent variable of stock return, ...

this world; though all the discussions are focused on the causal relationships in allthe scientific arguments. One of the methods to study the designed causal relationshipsobjectively is Granger causality test. This paper aims to investigate the longtermcausal relationship between the stock price and dividends. The statisticalpopulation includes 180 active companies in Stock Exchange of Tehran ...