فصلنامه مطالعات مدیریت راهبردی

فصلنامه مطالعات مدیریت راهبردی

الگویی برای سنجش عملکرد شرکت‌های بیمه

نوع مقاله : پژوهشی

نویسندگان
1 استادیار، پژوهشکده بیمه، تهران، ایران
2 استادیار، دانشگاه صنعتی شاهرود، شاهرود، ایران
3 فارغ التحصیل کارشناسی ارشد، دانشگاه صنعتی شاهرود، شاهرود، ایران
چکیده
  سنجش عملکرد بنگاه‌ها و تعیین عوامل مؤثر بر آن در تصمیمات اقتصادی فعالان و ذی‌نفعان بازار مهم است. به همین دلیل، تا کنون سنجش عملکرد و رتبه‌بندی بنگاه‌ها از سوی محققان بسیاری موردتوجه قرار گرفته است. این تحقیق از نوع تحلیلی و توصیفی است. همچنین، این پژوهش از نوع کاربردی و کمّی است. هدف این پژوهش سنجش و ارزیابی عملکرد و رتبه‌بندی شرکت‌های بیمه بر مبنای سطح شاخص عملکرد است. در این پژوهش به بررسی اثر متغیرهای کلان اقتصادی مانند نرخ ارز، شاخص قیمت مصرف‌کننده و سرانه تولید ناخالص داخلی بر تغییر جایگاه و رتبه شرکت‌ها طی دوره ۱۳۹۵ تا ۱۴۰۰ پرداخته می‌شود. ریزشاخص‌های عملکردی شامل نسبت نقدینگی، نسبت‌های اهرمی، نسبت‌های فعالیت، نسبت‌های سودآوری و نسبت‌های ارزش بازار است. پس از تجمیع ریزشاخص‌ها با روش شاخص عملکرد در محیط نرم‌افزار R، رتبه‌بندی عملکرد ۲۳ شرکت بیمه فعال در بورس انجام شده است. برای بررسی علل تغییر رتبه شرکت‌های بیمه از تحلیل واریانس دو عاملی  و مدل رگرسیون داده‌های ترکیبی  استفاده‌ شده است. نتایج رتبه‌بندی نشان می‌دهد که وضعیت عملکردی تعدادی از شرکت‌ها در سال ۱۴۰۰ نسبت به سال ۱۳۹۵ بهبود یافته ولی عملکرد سایر شرکت‌ها بهبود نداشته است. نتایج تحلیل واریانس دوعاملی سطح عملکرد شرکت‌ها نشان می‌دهد هم اثرات ثابت شرکتی و هم اثرات تغییر سال در تغییر رتبه شرکت‌ها مؤثر است.نتایج رتبه‌بندی نشان می‌دهد که، وضعیت عملکردی تعدادی از شرکت‌ها در سال ۱۴۰۰ نسبت به سال ۱۳۹۵ بهبود یافته ولی عملکرد سایر شرکت‌ها بهبود نداشته است. نتایج تحلیل واریانس دوعاملی سطح عملکرد شرکت‌ها نشان می‌دهد که هم اثرات ثابت شرکتی و هم اثرات تغییر سال در تغییر رتبه شرکت‌ها مؤثر است.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

A model for measuring the performance of insurance companies

نویسندگان English

Asma Hamzeh 1
Mohammad Mirbagherijam 2
Sajad Sabouri 3
1 Assistant Professor, Department of Modern Insurance Technologies, Insurance Research Center, Tehran, Iran
2 Assistant Professor, Shahrood University of Technology, Shahrood, Iran
3 MA graduated, Shahrood University of Technology, Shahrood, Iran
چکیده English

Introduction
It is important to measure the performance of companies and determine the factors affecting them in the economic decisions of market participants and stakeholders. For this reason, since the past decades, the issue of measuring the performance and ranking of companies has been taken into consideration by many researchers. This research is analytical and descriptive. Also, this research is applied and quantitative. The purpose of this research is to measure and evaluate the performance and rating of insurance companies based on the performance index level. Also, in this research, the effect of macroeconomic variables (such as Exchange Rate, consumer price index, and GDP per Capita) on the change of position and rank of companies during the period of 2017 to 2022 is investigated. Performance micro-indicators include liquidity ratios, leverage ratios, activity ratios, profitability ratios, and market value ratios.
Methodology
In this research, the effect of changing the rating of insurance companies over time is analyzed with the approach of variance analysis and the combined data regression model, and the status of the rating of the companies is described from the perspective of performance from 2015 to 2014. Therefore, this research is analytical and descriptive as well as practical. In this research, 23 active insurance companies whose trading symbols are on the Tehran Stock Exchange and whose data were available are considered, and the time period from the beginning of each company's entry to the stock exchange is from 1395 to 1400. Because some companies have entered the stock market in recent years, this time frame has been set for the rating of insurance companies. After aggregating the micro-indicators with the I-Distance method in the R software environment, the performance ranking of 23 active insurance companies in the stock market has been done. Two-factor analysis of variance (Anova) and combined data regression model (Panel Data) have been used to investigate the reasons for the change in the rating of insurance companies.
Results and Discussion
The ranking results show that the performance status of a number of companies has improved in 2022 compared to 2017, but the performance of other companies has not improved. The results of two-factor variance analysis of companies' performance level show that both company fixed effects and year change effects are effective in changing the ranking of companies.
Conclusion
According to the results of analysis of variance, both company fixed effects and year change effects are effective in changing the ranking of companies. The effects of the change of year can be due to changes in macroeconomic variables (such as exchange rate, inflation rate and annual income and even income distribution inequality), which the results of the regression model test also confirm this issue. Exchange rate changes cause changes in the prices of goods and services, inputs and outputs and in this way, it affects the expected current and future cash flows and the stock returns of the economic enterprise. At Indeed, the exchange rate change brings a series of different and even contradictory changes in the foreign and domestic sectors of the economy has the result of which can affect the performance of companies positively or negatively. Decreasing price stability on the one hand brings the risk of stagnation and on the other hand many psychological and social effects, so that increasing inflation can upset the balance between any value and cause losses to the parties of any transaction. For example, one of the types of effects of inflation can be seen as its time effect, in such a way that the longer a transaction takes, the greater the effect of inflation on it. Accordingly, the insurance industry is also not immune from the effects of inflation due to its wide connection with other macroeconomic sectors. The insurance penetration rate has a direct relationship with the GDP per capita. With a decrease in GDP per capita, which means a decrease in the purchasing power of the general public, the amount of demand for insurance products at the community level decreases, and on the contrary, with an increase in the GDP per capita, the amount of demand for insurance by the general public and the economy increases. One of the goals and benefits expected from the supervision of insurance companies is to strengthen the risk management system and focus on preventive measures. Therefore, supervisory institutions in each country use tools to monitor insurance companies. Supervisors monitor insurance companies' risk exposure using key performance indicators. Therefore, the supervisory body can adjust the risk-taking level of insurance companies based on the performance evaluation results. If a company has a high risk score and on the other hand the company's market share is high, this will mean a serious problem for the insurance industry.
 

کلیدواژه‌ها English

I-Distance method
Risk-taking level
Macroeconomic variables 
  1. Amiri, M., & Imani, R. (2017). Rating of insurance company branches with confirmatory factor analysis (CFA) approach of multi-criteria decision making (MCDM) (case study: Parsian Insurance Company), 15th International Conference on Industrial Engineering, Yazd. (In Persian)
  2. Aghavardizadeh Azar, N., (2013). Presenting a model for performance evaluation and rating of Iranian insurance companies using experts' opinions, Urmia University of Technology master's thesis. (In Persian)
  3. Emami, K., & Maleki, E. (2013). Investigating the effect of exchange rate fluctuations on employment in Iran. Financial Economics Quarterly, 8, 95-112.( In Persian)
  4. Değirmenci, N., & Ayan, T. Y. (2018). Ranking of firms by performance using I-distance method. Investment Management and Financial Innovations, 15 (4), 85-97. http://dx.doi.org/10.21511/imfi.15(4).2018.07
  5. Djurovic, I., Jeremic, V., Bulajic, M., & Dobrota, M. (2017). A two-step multivariate composite I-Distance indicator approach for the evaluation of active ageing Index. Journal of Population Ageing, 10(1), 73-86, 1-14. https://doi.org/10.1007/s12062-016-9169-8.
  6. Jeremic, V., Bulajic, M., Martic, M., Markovic, A., Savic, G., Jeremic, D., & Radojicic, Z. (2012). An Evaluation of European Countries' Health Systems through Distance Based Analysis. Hippokratia, 16(2), 170–174.
  7. Hemti, M., Ebrahimi, I., (2017). Assessing the performance of insurance companies with an emphasis on regulatory challenges, the 28th annual conference on monetary and foreign exchange policies: with the topic: structural reforms for financial stability, Tehran. (In Persian)
  8. Khajawi Dehishib, F., Rostami, M. R., Mosleh, M., (2021). Performance evaluation of insurance companies admitted to the stock exchange, Business Management, No. 51, 344-360. (In Persian)
  9. Marković, V., Maksimović, D., & Gajić, M. (2020). Ranking banks by applying the multilevel I–distance methodology. Operational Research in Engineering Sciences: Theory and Applications,3(1), 57-71. https:// doi.org/10.31181/oresta2001057m
  10. Piraish, R., Mansouri, M., (2016) Explaining the key factors in the rating of insurance companies admitted to the Iran Stock Exchange using the multi-criteria decision-making index, Insurance Journal, No. 1, 47-60. 22056/ijir.2016.01.03 (In Persian)
  11. Popović, B., Ceranić, S., & Paunović, T. (2016). I-Distance and Separability Coefficient in Business Evaluation of Sme’s in Agribusiness. Economics of Agriculture, 63(3), 1039-1052. https://doi.org/10.5937/ekoPolj1603039P
  12. Standard & Poor’s rating servicess. (2014). Guide to credit rating essentials what are credit ratings and how do they work? Standard & Poor’s Ratings Services.
  13. Salari, S., Shafiei Roudpashti, M., (2015). Comparative analysis of the performance of insurance companies using group decision-making with a fuzzy approach (Case study: Sina Insurance and Entrepreneur of Yazd Province), Insurance Research Quarterly, No. 2, 183-217. (In Persian)
  14. Safari, S., Moradi Doliskani, S., Raisi Gurbanabadi, H., (2016). Presenting a framework for performance evaluation and ranking of insurance companies with multi-criteria decision-making approach (enriched parameter method), Insurance Research Journal, No 1, Serial 125, 1-22. (In Persian)
  15. Suri, A., (2021). Advanced econometrics with the use of Eviews8 and Stata12, Noor Alam Publications. (In Persian)
  16. V Račić, Ž. (2018). Process of ranking countries by level of development. Croatian Review of Economic, Business and Social Statistics, 4(1), 53-61. https://doi.org/10.2478/crebss-2018-0005
  17. V Račić, Ž., Kovačević, S., & Babić, N. (2022). I- distance application in the ranking of Group 8 and European Union countries by level of development. Croatian Review of Economic, Business and Social Statistics, 8(2), 43-52. https://doi.org/10.2478/crebss-2022-0009
  18. Zamiri, A., Rabiei, M., (2022). The effect of economic uncertainty factors on the performance of joint-stock insurance companies, Public Policy in Management, 48, 163-178. (In Persian)

  • تاریخ دریافت 15 اسفند 1401
  • تاریخ بازنگری 25 اردیبهشت 1402
  • تاریخ پذیرش 15 تیر 1402