تعداد نشریات | 25 |
تعداد شمارهها | 932 |
تعداد مقالات | 7,652 |
تعداد مشاهده مقاله | 12,494,492 |
تعداد دریافت فایل اصل مقاله | 8,885,839 |
ارزیابی عملکرد با استفاده از نسبت های مالی به شیوه الگوریتم درخت تصمیم گیری | ||
راهبرد مدیریت مالی | ||
مقاله 8، دوره 5، شماره 2 - شماره پیاپی 17، شهریور 1396، صفحه 185-205 اصل مقاله (1.59 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22051/jfm.2017.9855.1090 | ||
نویسندگان | ||
نسرین رضایی1؛ زهزا امیرحسینی* 2 | ||
1دانش آموخته گروه مدیریت؛ واحد علوم و تحقیقات تهران؛ دانشگاه آزاد ؛ تهران، ایران | ||
2استادیار گروه مدیریت، واحد شهرقدس، دانشگاه آزاد اسلامی، تهران، ایران | ||
چکیده | ||
هدف مقاله شناسایی مهمترین نسبت های مالی است که می توان از طریق آن عملکرد شرکتها را ارزیابی نمود، لذا کلیه شرکت های پذیرفته شده در بورس اوراق بهادار تهران در بازه زمانی 1390 تا 1393 جامعه آماری پژوهش می باشد و طبق روش نمونه گیری حذفی سیستماتیک 102 شرکت حجم نمونه آماری را تشکیل دادند. این تحقیق از نظر هدف کاربردی و به لحاظ روش تحقیقی توصیفی از نوع همبستگی است. تجزیه و تحلیل داده ها از روش تحلیل عاملی، مدل یابی معادلات ساختاری و دو الگوریتم معروف درخت تصمیم (CHAID,C&RT) با استفاده از نرم افزارهای SPSS,SMARTPLS,CLEMENTIN صورت پذیرفت. نتایج نشان داد که تعداد 24 نسبت از کل 28 نسبت مالی ، در ارزیابی عملکرد شرکت موثر بوده که با استفاده از آنالیز فاکتور اصلی PCA این نسبت ها در 7 دسته بنا بر وزن آنها از واریانس کل دسته بندی گردید.در مرحله بعد جهت بررسی نوع روابط و میزان همبستگی متغیر ها تحلیل عاملی تاییدی در مدل یابی معادلات ساختاری انجام و مدل اصلی ارائه گردید.نهایتا درخت تصمیم گیری ترسیم و نتایج نشان داد که الگوریتم های درخت تصمیم بالاترین دقت را ارائه می کنند و در میان کلیه نسبت ها،نسبت فعالیت بیشترین تاثیر را در ارزیابی عملکرد دارد. | ||
کلیدواژهها | ||
ارزیابی عملکرد؛ نسبت های مالی؛ مدل یابی معادلات ساختاری؛ الگوریتم درخت تصمیم | ||
عنوان مقاله [English] | ||
Evaluation of Financial Performance Using Decision Tree Algorithm Method | ||
نویسندگان [English] | ||
Nasrin Rezaee1؛ Zahra Amirhosseini2 | ||
1islamic azad university | ||
2department of Management, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran. (Correspondence Author) | ||
چکیده [English] | ||
The purpose of recent study is recognition of the most important financial ratios by which can evaluate company's performance. Therefore the total of accepted companies in stock exchange in Tehran which was active in 1390-1393 are considered as statistical universe of the research through which 102 companies organize the mass of statistical sample based on systematic elimination sampling method. The from the view point of exploratory and functional purpose, the research method is descriptive and interconnection including post –eventual researches. Analysis of data is accomplished by factorial analysis, structural equations modeling and two algorithms by using of CHAID, C&RT software , SPSS, SMARTTPLS, CLEMENTIN decision tree. after explanatory ,factorial analysis, the results of research show that the number of 24 ratios from the total of considered 28 financial ratios is effective in evaluation of company's performance which these ratios are classified in seven categories in terms of weight of each of them from total variance by using of main factor analysis PCA. in next stage, for studying the type of relations and the amount of variant interconnection, confirmatory factorial analysis is performed in structural equations modeling and the main model presented. Finally the result and drawing decision tree indicate that decision tree algorithms are presented the best prediction with the highest accuracy and among the sum of ratios, activity ratio has the most effect on performance evaluation | ||
کلیدواژهها [English] | ||
Performance Evaluation, financial ratios, Structural Equations Modeling, Decision Making Tree | ||
مراجع | ||
Behnampour, N.; Hajizadeh, E; Semnani, Sh. & Zayeri, F. (2013). “The Introduction and Application of Classification Tree Model for Determination of Risk Factor for Esophageal Cancer in Golestan Province”, Hakim Jorjani J. 1 (2) PP. 38-46 (In Persian) - Breiman, L. Friedman, J. H. Olshen, R. A. & Stone, C. J. (1984). “Classification and regression trees”. New York: Chapman & Hall/CRC. - Chen, W. S & Du, Y. K. (2009). ”Using neural networks and data mining techniques for the financial distress prediction model”. Expert Systems with Applications, Vol. 36, No. 2, PP. 4075–4086. - Cinca, C. S, Molinero, C. M & Larraz, J. L. G. (2005). ”Country and size effects in financial ratios: A European perspective”. Global Finance Journal, Vol. 16, No. 1, PP. 26–47. - Delen, D. Kuzey, C. & Uyar, A. (2013). “Measuring firm performance using financial ratios: A decision tree approach”. Expert Systems with Applications, Vol. No. 2, PP. 3970–3983. - Fazli Maghsodi, H. & Momeni, H. (2013). “Comparison Data mining Algorithms and SVM” National conference in computer engineering, modeling and systems support. Mashhad. Iran. (In Persian) - Habibollah Mirghafoori, S. Shafiee Roodposhti, M. & Naddafi, Gh (2012). “Financial Performance Evaluating with Grey Theory and Data Envelopment Analysis Technique Two Step approach (Case Study: Province Telecommunication Companies).” Management Research in Iran. Vol. 16, Issue 4, Pp 189-205. (In Persian) - Horrigan, James O. (1965). "Some empirical bases of financial ratioanalysis". TheAccounting Review, Vol. 40, No. 3, PP. 558–568. - Iranzadeh, S. Norouzi, D. & Babaiei Heravi, S. (2011). A survey on employees performance Appraisial system by Using the Fuzzy Tree Model, Journal of Industrial Management, 6. Vol 17. PP. 115-132. (In Persian) - Kashani por, M. & Ghazi zadeh, M. (2009). “Identify variables and effective ratio in measuring the bank performance”. Daneshvar Raftar. Vol. 15, No. 32, pp. 93-108. (In Persian) - Piri, P. & Zarei M. (2013). “Using the Fuzzy Tree Model in Business performance apprecial”. Second International Conference in Accounting, Financial and management. Tehran, Iran. http://www.civilica.com/Paper-CAFM02-CAFM02_467.html (In Persian) - Prozanb, M. Cristina, A. & Danescu, T. (2012). “The role of the risk management and of the activities of internal control in supplying useful information through the accounting and fiscal reports”, Procedia Economics and Finance, Vol. 3, PP. 1099-1106. - Rezagharehbagh, R. & Mohammadi, P. (2015). “Impact of Financing Approach on Corporate’s Financial Performance in EconomicFluctuations (Case Study of Automotive Industry)”. Journal of Financial Management Strategy. Vol 3, Issue 1, PP. 51-70 (In Persian) - Sadeghi, H. & Ghanivarzaneh, F. (2015). “Forcsting Financial Performance in Tehran Stock Exchange: Using the Fuzzy Tree Model And ROE” First International acconting and management in third dedicade. Rasht. Iran. http://www.civilica.com/Paper-AMTM01-AMTM01_436.html - Sarlak, N. & Azimzadeh, S. (2015). “The Analytical Comparison of Financial Ratios of Listed Companies in Tehran and Istanbul Stock Exchanges”. Journal of Financial Management Strategy. Vol 3, Issue 3, PP. 129-148 (In Persian) - Sarokolaie, a. m. & Afshar, Z. F. (2014). “Investigating financial ratio in tehran stock exchange using CCR”. Financial Knowlage of Securities Analysis. Vol. 7, Issue 21, Pp 57-70. (In Persian) - Shaout, A. Yousif, M.K. (2014). “Performance Evaluation Methods and Techniques Survey”. International Journal of Computer and Information Technology, Vol. 3, No. 5, PP.966-979 - Singh, P. (2015).“Performance Appraisal and it’s Effectiveness in Modern Business Scenarios”. The SIJ Transactions on Industrial, Financial &, Business Management (IFBM), Vol. 3, No. 4, PP. 36-4 - Sun, J. & Hui, X-F. (2006). “An application of decision tree and genetic algorithms for financial ratios’ dynamic selection and financial distress prediction”. In Proceedings of the fifth international conference on machine learning and cybernetics, Dalian, 13–16 August. - Wang, H. Jiang, Y. & Wang, H. (2009). “Stock return prediction based on baggingdecision tree”. In Proceedings of 2009 IEEE international conference on grey systems and intelligent services, November 10–12, Nanjing, China. - Yu, G. & Wenjuan, G. (2010). “Decision tree method in financial analysis of listed logistics companie”. In 2010 International conference on intelligent computation technology and automation. | ||
آمار تعداد مشاهده مقاله: 2,285 تعداد دریافت فایل اصل مقاله: 2,652 |