this paper investigates the effect of formal information and rumors on the real buyers’ choice in tehran stock exchange. following this study, the question is what kind of information has an effect on buyers’ choice of shares? the purpose of this study is to identify information affecting buyers selected stocks, in order to offer some solutions to enhance stock exchange performance. in this stu...

the difficulty of determining intrinsic value of stock prices have led many people to use technical analysis in order to forecast stock prices in the future. to predict the stock price we need to determine the generating process of stock prices. in recent years many time - series methods have been used for forecasting purposes. one of these methods is the rescaled range analysis (ris). in the a...

Stock market plays a significant role and has greater influence on basic economic energies of a country. Rapid changes in the stock exchange market with high dimensional uncertain data make the investors to look for effective forecasting using prediction mining techniques. The high dimensional stock data are classified into profitability, stability, cash flow and growth rate but does not deal c...

the stock selection problem is one of the major issues in the investment industry, which is mainlysolved by analyzing financial ratios. however, considering the complexity and imprecise patterns ofthe stock market, obvious and easy-to-understand investment rules, based on fundamental analysis,are difficult to obtain. fundamental and technical analyses are two common methods for predictingthe fu...

Pearson’s correlation coefficient is typically used for measuring the dependence structure of stock returns. Nevertheless, it has many shortcomings often documented in the literature. We suggest to use a conditional version of Spearman’s rho as an alternative dependence measure. Our approach is purely nonparametric and we avoid any kind of model misspecification. We derive hypothesis tests for ...

In this thesis, we study the behavior of bankrupt stocks. Bankrupt stock is a special case of the Hard-to-Borrow stocks. Besides the general nice feature of the Hard-to-borrow feedback for the buy-in demand, the bankrupt stocks could exclude the diffusive effects. This nice property would modify the Marco Avellaneda and Mike Lipkin’s jump-diffusion model for the Hard-to-Borrow stocks into the p...

We propose a new methodology to aid in designing a portfolio of investment over multiple stock markets. It is our hypothesis that financial stock market trends may be predicted better over a set of markets instead of any one single market. A selection criteria is proposed in this paper to make this choice effectively. This criteria is based upon the observed backpropagation and recurrent neural...