اخبار و اعلانات
آمار
| تعداد نشریات | 57 |
| تعداد شماره‌ها | 1,796 |
| تعداد مقالات | 14,251 |
| تعداد مشاهده مقاله | 30,606,432 |
| تعداد دریافت فایل اصل مقاله | 19,160,383 |
The Rating of Insurance Companies Based on The Regulatory Indicators Using Three Different Scenarios | ||
| Journal of Mathematics and Modeling in Finance | ||
| دوره 2، شماره 2، اسفند 2022، صفحه 1-14 اصل مقاله (222.28 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22054/jmmf.2022.15178 | ||
| نویسندگان | ||
Asma Hamzeh  1؛ Faezeh Banimostafaarab 2؛ Fatemeh Atatalab3
| ||
| 1Insurance Research center | ||
| 2Allameh Tabatabaei Univesity | ||
| 3Researcher of Insurance Research Center | ||
| چکیده | ||
| The rating of insurance companies is one of the necessary and operational policies to regulate and evaluate the performance of the insurance industry. It informs shareholders, customers, insurers, and even regulatory authorities, as well as formal and informal support bodies, about the current performance of insurance companies and their capabilities and prospects for the future. The rating of insurance companies in terms of the regulatory indicators and decision-making and implementation of the administrative measures for the companies based on the regulatory rating of each company is one of the needs of the regulatory body. Therefore, doing this properly requires using the indicators in principal areas, weighting them according to their importance, and implementing the model, finally. For this reason, in this study, first, the effective indicators for the regulatory rating of insurance companies were identified using documentary studies and relevant writings, and the initial indicators were scrutinized and completed using the results of a questionnaire. Then, the indicators prioritization and weighting and implementation of the model for regulatory rating of insurance companies are performed for 2019. Weighting the indicators is done by the Shannon entropy method, and the rating of insurance companies is implemented under three different scenarios with the TOPSIS model and the weighted average method. | ||
| کلیدواژه‌ها | ||
| Regulatory Rating؛ The Shannon Entropy Method؛ The TOPSIS Model؛ Weighting | ||
| مراجع | ||
|
[1] N. Aghaverdi-Zadeh Azar, A Model for Performance Evaluation and ranking of insurance companies in Iran by Using Experts Preferences,[M.Sc. thesis, Urmia University of Technology], (2015). [2] I. Akhisar, And N. Tunay, Performance Ranking of Turkish Life Insurance Companies. Using AHP and TOPSIS, InManagement International Conference. Portoroz, Slovenia, 241(2015), 250. [3] AM. Best, AM BESTS CREDIT RATING METHODOLOGY. [4] M. Amiri, And R. Imani, ranking the branches of Insurance using Con rmatory Factor Analysis and MCDM Methods (A Case Study of Parsian Insurance Company, 15th International Industrial Engineering Conference, Yazd, (2019). [5] M. J. Asgharpour, Multi-Criteria Decision Making (MCDM), Tehran University of Tehran,(2018). [6] Behin Institute for Economic and Financial Studies, Rating methodology of insurance institutions in Iran to design a comprehensive rating model, Insurance Research Center,(2019). [7] Capital Intelligence , Insurance Rating Methodology, Capital Intelligence,(2016). [8] Capital Intelligence Ratings , Capital Intelligence Ratings Ltd. [9] CARE Ratings, Financial Ratios Insurance Sector, Mumbai: CARE Ratings Professional Opinion,(2018). [10] CARE Rating Professional Risk Opinion, About Us. Retrieved from CARE Rating Professional Risk Opinion. [11] Credit Rating Agency HR, Methodology for Insurance Companies,Credit Rating Agency HR,(2017). [12] DBRS, Global Methodology for Rating Life and PC Insurance Companies and Insurance Organizations, DBRS,(2018). [13] Egan-Jones, Procedures and Methodologies for Determining Credit Ratings, Egan-Jones Ratings Company,(2019). [14] EJR, Egan-Jones Ratings Company. ,https://www.egan-jones.com,(2020). [15] Fitch Ratings, Introducing Ratings Navigator for Insurance - Fitch Ratings,(2015). [16] S. Grishunin, A. Bukreeva, And A. Astakhova , Analysing the Determinants of Insolvency and Developing the Rating System for Russian Insurance Companies, Procedia Computer Science. 199 (2022), 190-197. [17] HR Rating. (n.d.), Methodology for Insurance Companies,Credit Rating Agency HR, [18] Japan Credit Rating Agency, Rating Methodology by Sector life Insurance. [19] Japan Credit Rating Agency. (n.d., Rating Methodology by Sector Non-life Insurance. [20] M. Mehdipoor , Evaluation and Ranking Insurance Companies Based on Standard Indicators Using Multi-Criteria Decision Making (MCDM), [M.Sc. thesis, Shahid Bahonar University of Kerman], (2016). [21] Moody's Investor Service, Moodys Investor Service, Special Report: Annual Default Study Addendum,Global Corporate Rating Transition Rates , www. moodys. com,(2004). [22] M. Nazari, Ranking of insurance companies using multi-attribute decision-making methods, Establishing a Ranking System for Iranian Insurance Corporations based on International Ranking Experiences, Insurance Research Center, (2012). [23] R. Nemati, A. Kazemi, Ranking of insurance companies using multi-attribute decision making methods, Financial Research Journal, University of Tehran, 16 (2014), 163-180. [24] The Pakistan Credit Rating Agency Limited,(2020). [25] R. Pirayesh, M. Mansouri, Explaining the Key Factors in the Ranking of Insurance Companies Listed on the Iran Stock Exchange Using Multi-Criteria Decision Making, Iranian Journal of Insurance Research, 31 (2016), 47-60. [26] S and P, Commentary: Understanding SP Global (China) Ratings Insurance sp-global-china ratings-insurance-methodologyen:pdf; (2019): [27] M. Shahrokhi, Measurement of Insurance Companies Active in the Tehran Stock Exchange (TSE) using by A Hybrid approach ANP and TOPSIS,[M.Sc. thesis, Shahed University: Pardis branch], (2016). [28] The Pakistan credit rating agency limited, Insurance rating methodology of the Pakistan credit rating agency limited, The Pakistan credit rating agency limited,(2005). | ||
|
آمار تعداد مشاهده مقاله: 63 تعداد دریافت فایل اصل مقاله: 89 |
||
سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب