The purpose of this research is to predict stock returns and the purpose of the least squares regression and neural network approach is used. The potential financial ratios based on the historical cost and financial ratios based on Adjusted Cost predict stock returns are investigated. Independent variables and the dependent variable in this study and financial ratios and stock returns is for th...

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 work aims to make a practical application of an analysis with financial ratios and then draw several conclusions. Through these, we can highlight that the company obtains guidelines for its strategy in terms implementation control. The different support areas should therefore be analyzed by type ratio. study is academical example, seen this point view

 In this paper, a new Dynamic Geometric Genetic Programming (DGGP) technique is applied to empirical analysis of financial ratios and bankruptcy prediction. Financial ratios are indeed desirable for prediction of corporate bankruptcy and identification of firms’ impending failure for investors, creditors, borrowing firms, and governments. By the time, several methods have been attempted in...

Because financial crises are characterized by dangerous rare events that occur more frequently than those predicted by models with finite variances, we investigate the underlying stochastic process generating these events. In the 1960s Mandelbrot [Mandelbrot B (1963) J Bus 36:394-419] and Fama [Fama EF (1965) J Bus 38:34-105] proposed a symmetric Lévy probability distribution function (PDF) to ...

Because these instruments are so important, they are studied on a regular basis. Each day, people decide to take risks by entering the securities market. Some investors rely on public information to choose which securities they should buy; others use sophisticated models that they hope will give them a money-making edge in this strictly competitive market. Using their models, these investors co...