جستجوی مقالات مرتبط با کلیدواژه « financial ratios » در نشریات گروه « مدیریت »

Among the growth and development of businesses, managing financial flows and increasing its effectiveness is an important achievement that causes value stability, efficiency of systems and procedures throughout the chains of Business. Therefore, paying attention to uncontrollable and controllable variables that lead to value creation is inevitable. The purpose of this study is to study the impact of social and biological factors (production and recycling of polymer parts) of environment on the value creation of the company along the supply chain. Also the key role of financial ratios has also been considered in this regard.The present research is of quantitative and applied types and is based on mathematical modeling. It is the result of a combination of genetic algorithms and Simulated Annealing. The financial analysis parameters of the model include current ratios, debt to equity, Instantaneous ratio, net profit margin, cash ratio and rate of return.The analysis of the results shows that considering financial goals and indicators leads to improved profitability and by removing financial indicators from the model, profitability is reduced. Therefore,this is means that the environmental and social performance of the supply chain is improved.Companies can pay special attention to social issues and environmental factors along with their profitability Increase their economic value. Profitability can also be improved by exposing social responsibilities and the mission of environmental protection.

Credit risk is the probability of default of the borrower or the counterparty of the bank in fulfilling its obligations, according to the agreed terms. In other words, uncertainty about receiving future investment income is called risk, which is of great importance in banks. The purpose of this article is to estimate the credit risk of individual and corporate customers. In this study, the statistical information of 400 individual customers and7500 corporate customers was used. In this regard, the results of neural network model and support vector machine model have been compared. The obtained results have shown that the components considered in this study based on their personal, financial and economic characteristics had significant effects on the probability of customer default and credit risk calculation. Also, the results of this study showed that the application of control policies at the beginning of the repayment period suggests facilities that have the highest probability of default with long life and high repayment. The comparison of the results of the prediction accuracy shows the higher explanatory power of the support vector machine model and the use of the survival probability function than the simple neural network model for both groups of customers.

In this study, in order to measure the efficiency and productivity of companies in the cement industry of the Tehran Stock Exchange, the gray data envelopment analysis approach and the Malmquist productivity index have been used.

 For this purpose, in the first step, we identify the appropriate financial ratios for measuring efficiency, then we calculate these ratios for each financial year in the form of gray numbers (intervals). In the next step, these ratios are divided into two groups of input variables and output variables under the title of research variables. Finally, the efficiency and productivity of the studied companies for the two fiscal years 2018 and 2019 by CCR and BCC models. Its components have been estimated.

The results of this study provide a suitable framework for using uncertain information (gray) to replace definite information and thus allow more realistic results to be estimated about the performance of companies.

Originality/Value:

This study uses the Malmquist Gray Productivity Index to provide a framework for comparing productivity changes over time. This index measures the ratio of the measured efficiencies of a production unit in two different time periods.

This study examines the impact of Total Quality Managemen (TQM) with principle of the Business Excellence Model (EFQM) on the company''s financial performance trend. Total quality management (TQM) and Business Excellence Model (EFQM) are as a means to increase efficiencies and improve the financial performance of the company. This study is a case study on the sazeh pouyesh company - one of Tehran Stock Exchange firms، and analysing financial ratios of this company during the period of 1384 to 1391 base on 1387 (year of the TQM model implementation). The method used to evaluate the performance of the company، compare dispersion and slope of ratios and to evaluate the effectiveness of TQM implementation model of effect size indicators are used. This research shows that TQM model improves the company''s financial performance and change in company''s trend، when applying model can not improve at least is able to stabled financial performance.