اکبر افتخاری علی آبادی

The main goal of the current research is to evaluate the performance of private sector banks in Iran based on financial ability indicators using the fuzzy multi-criteria decision making method. The current research is from the point of view of applied-developmental nature and from the point of view of survey method, and in terms of the nature of the data, it is of qualitative type.In this research, indicators and options for evaluating with the help of reviewing the literature of various studies, using fuzzy Delphi methods, paired comparison matrix and fuzzy TOPSIS by presenting 3 questionnaires in 3 stages among 36 people The statistical sample was analyzed. The results showed that the indicators of interest income to total funds, operating profit to total funds and interest spent to total funds should be removed.According to the results of the matrix of paired comparisons, the index of the coverage ratio of financial expenses is the most important and the index of operational expenses to total funds is the least important index. According to the fuzzy TOPSIS results, based on the weights obtained from the pairwise comparison matrix, Carfarin Bank, Ansar Bank and Pasargad Bank ranked 1st to 3rd respectively. The results of this research show that bank managers can help by monitoring and carefully examining the six indicators identified in this research and emphasizing the improvement of the constituent elements of these indicators in terms of improving the quality and increasing the financial strength of the bank.

Today, understanding the concepts and skills associated with financial literacy and intelligence is essential, because it is capable of maintaining the consumer in order to survive in modern society and resist the diversity and complexity of existing financial products and services.This article aims to explore the impact of financial intelligence on the behavior of customers that using credit cards in branches of Bank Mellat in Tehran. In other word, this paper aim to realizing customer's behavior and planning for appropriate action for the optimal use of credit cards by them. For this purpose, out of the 3,600 customers of the Mellat Bank, 347 persons has been selected by Cochran's sample size formula at the level of %5.A standard questionnaire has been used in order to collect data. With Cronbach's alpha 0.962, the reliability of it has been confirmed. In other side to questionnaire content validation and verify the factor structure of a set of observed variables used from Confirmatory factor analysis (CFA) Method. Also, to analyze the results of the questionnaire using structural equation method via Lisrel software. The results show that the financial intelligence on the behavior of customers using credit cards in branches of Bank Mellat in Tehran is effective. Also the financial behavior and financial education are directly and indirectly effective on the behavior of using credit cards among customers of Mellat Bank Branches in Tehran, but financial literacy has no effect on the behavior of using a credit card.

In this study, relying on theoretical principles of behavioral finance and marketing mix, the effects of marketing mix and its factors has been examined on Tehran stock exchange stakeholders' behaviors. In this paper, based on 5 years periods from the begging of 1389 to the end of fiscal year 1393, the assumption as effects of the service marketing mix and its variables on stakeholders' behaviors among services firms which accepted in the Tehran stock exchange has been tested.
This study, as an applied research uses correlation methods specifically the structural equation modeling (SEM) to investigate the relation between service marketing mix variables' namely product, price, place, promotion, people, process, physical evidence as independent variables and stakeholders' behaviors as dependent variable.
According to the descriptive data analysis and structural equation modeling results, we've found that the Tehran stock exchange stakeholders' behaviors has significant relation with service marketing mix concept and its variables.

Through Behavioral finance, researchers faced with many exceptions in financial markets and concluded that psychological phenomena play an important role to determine financial markets behavior. In this research, different types of investors’ behavior have been recognized in different time scales.
A general model for Tehran Stock Exchange has been designed by using the time series data, from 2006 to 2010. Wavelet analysis has been used as a statistical and analytical tool to explain trait and multi resolution.
Research results show that investors have different reaction after good or bad news,their reaction in long term scale is more distinct than short term. Return of investment derived by price is different in various periods after good or bad news; it has the same trade as the direction of EPS adjustment in short term. But this trend isn’t recognized in long term.

Researches about the relation between Return and EPS since 30 years ago, mention that Return is affected by Earning and information related to it. Several researches have studied the relationship between return (as dependent variable) and earning (as independent variable), using regression model. Some researchers have reported a distinct coefficient in regression analysis when they studied the effect of unexpected annual earning as independent variable on abnormal return as related variable. In this research, the effect of DPS on return is considered and measured, in high and low return companies in Tehran Stock Exchange, in 2006&2010. Our evaluations through 5 hypothesis showed that the market didnt have any over orunder reaction versus good or bad news. In the other hand, market reaction was not emotional. The results of this research detected a considerable difference between ERCs in high-return and low-return companies. But they didnt approve any significant relationship between news and market reaction; except for relationship between bad news and market reaction just in low return companies. It means that the market under reacted only versus bad news related to lowreturn companies.