درخت حوزه‌های تخصصی

The present study aims to model systematic risk using financial and accounting variables. Accordingly, the data for 174 companies in Tehran Stock Exchange are extracted for the period of 2006 to 2016. First, the systematic risk index is estimated using the ARFIMA-FIGARCH model. Then, based on the research background, 35 affective financial and accounting variables are simultaneously used with the help of the backward elimination and forward selection method for modeling. After analyzing and evaluating the variables in Eviews software, the four variables of debt ratio (CL. E), size (SIZE), net profit to sales ratio (NETP. S), and interest rate coverage ratio (ICR) are selected in the backward elimination method. In the forward selection method, in addition to the above variables, operating profit margin (OPM) is also chosen. The estimated model of these variables in both methods shows a low ratio of R2 coefficient that is approximately 7%. In the test case, the model of forward selection method has less error in all four criteria of root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and Tile coefficient (TIC) compared to the backward elimination method.

State banks must find a way to adopt a different strategy from other banks in providing customer service. An important and key way to create a competitive position is to differentiate services from other competitors that create a good image of the bank and its services in the minds of customers. A topic that has been addressed in the present study is the necessity for state banks, like other companies and businesses, to follow a suitable model in order to achieve a suitable position in the banking industry. In this regard, the purpose of this study is to design a model for positioning the services of state-owned banks and its validation. The data for qualitative stage were obtained from Keshavarzi, Melli, and Maskan branches' managers of Khorasan Razavi province and university professors in the field of management. The quantitative sample were also the customers of aforementioned banks, that due to their large number, 384 people from each bank were selected as a sample size by simple random method and Cochran's formula. In order to collect data in the qualitative part, Deleted part, the interview was used and in the quantitative part, a researcher-made questionnaire was used, which obtained validity with expert opinions and reliability with Cronbach's alpha of 0.77. In order to analyze the data in the qualitative part, grounded theory and the method of Strauss and Corbin and Maxquda software were used, and in the quantitative part, the structural equation technique and PLS2 software were used. The results showed that the model presented in 6 dimensions of causal factors,contextual, intervening, pivotal, strategies an consequences has a good fit.