Identify and Rank the Effective Factors of Financial Risks and Efficiency in Insurance Companies Listed on the Stock Exchange using the Delphi Method
الموضوعات :Marzieh Ahmadi 1 , Saied Sehhat 2 , Maryam khaliliaraghi 3 , Hashem Nikoumaram 4
1 - Phd Student of Finance, Department of Insurance, faculty of management and economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Associate Professor- Department of business Administration and Insurance - Management and Accounting Faculty, Allameh Tabatabai University
3 - Assistant Professor and Faculty member of faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
4 - Professor and Faculty member of faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
الکلمات المفتاحية: Operational Risk, Credit Risk and Liquidity Risk, Ranking, Efficiency, Wealth Risk,
ملخص المقالة :
Financial markets play a key role in economic development, and the insurance industry as a financial institution can be the bedrock of economic growth. Thus, risk and performance appraisal are very important in the insurance industry. There are several methods for evaluate risk and efficiency in financial markets, but since the performance of insurance companies is different from other financial institutions for the risk acceptance of other organizations and individuals, it is necessary to rank factors affecting efficiency and risk in insurance companies separately based on the performance of companies prior to focus on the calculation method. This paper discussed factors affecting the financial risks of insurance companies and efficiency and their rankings using the Delphi qualitative method and collecting expert’s opinions as well as data from domestic and forign papers. The statistical population of the research is experts and specialists in the field of risk and insurance. Spss, Eviews and Excell 2013 were used to review the questionnaires and estimate the results. The results of this paper identified the factors affecting each of the risks of financial wealth, liquidity, credit, operations and efficiency, and in the ranking obtained through Friedman test, efficiency is the highest rank, followed by liquidity, operational and credit risk in the rankings.
[1] Bahrami, C., Vahidi, A., analysis based on reference frontier share, European Journal of Operational Research, 2018, 264(2), P.665-674. (in Persian).
[2] Omidi, B., Hasanpour, S., Handbook of Solvency for Actuaries and Risk ManagersTheory and Practice, 2010, 6(2), P.52-72. (in Persian).
[3] Schröder, D., and Esterer, F., A New Measure of Equity and Cash Flow Duration: TheDuration-Based Explanation of the Value Premium Revisited, University of London,Working Paper, 2018, 3(2), P. 24-45.
Doi: 10.1111/jmcb.12320
[4] Przemysław, T., Doligalski, T., and Zaborek, P., Does Customer Analysis Affect Firm Performance? Quantitative Evidence from the Polish Insurance Market. Journal of Business Research, 2016, 7(3), P.14-29. (in Persian). Doi: 10.1016/j.jbusres.2016.03.026
[5] Wüthrich, M. V. From Ruin Theory to Solvency in Non-Life Insurance. In LondonMathematical Finance Seminar of University College London, 2019. 6(4), P. 75-93. Doi: 10.1080/03461238.2013.858401
[5] Central Insurance of the Islamic Republic of Iran, The Vision Document of the Insurance Industry of the Islamic Republic of Iran in the Horizon of 1404, including strategies, policies and projects, 2012, 9(4), P. 52-83. (in Persian).
[6] Shahriar, B., Fundamentals of Risk Management and Supervision of Financial Wealth in Tehran Insurance Companies: Insurance Research Institute, 2014, 7(3), P. 41-65. (in Persian).
[7] Soleiman Nasab and Khoshsima, R., Ranking Factors Affecting the Success of Risk Management in the Insurance Industry Using the Pramet Method of the Fifth International Conference on Accounting and Management with New Applied and Research Approaches, Tehran: Insurance Research Institute, 2018, 8(2), P. 22-46. (in Persian).
[8] Kazemi Kasmaei, H., Two proposed models for measuring the technical efficiency of insurance companies, Journal of Insurance Industry, 2016, 3(1), P. 53-74. (in Persian).
[9] Karimi, S.M., Evaluate the performance of the country's insurance industry and explain the future outlook, Quarterly Journal of Fiscal and Economic Policies, 2012, 6(3), P.16-33. (in Persian).
[10] Arif, Relationship between financial risk and financial performance, An insight of Indian insurance industry, 2015, 3(2), P.110-123.
[11] Barry, C., Docherty, M., Assessment of mental capacity and decisionmaking. Medicine, 2018, 4(1), P. 43-67. Doi: 10.1016/j.mpmed.2018.04.003
[12] Butler, S. A., Ghosh, D., Individual differences in managerial accounting judgments and decision making. The British Accounting Review, 2015, 47(1), P.33-45. Doi: 10.1016/j.bar.2014.09.002
[13] Clement, G., Savelli, N., and Zappa, P., Modeling and Calibration for Non-Life Underwriting Risk: From Empirical Data to Risk Capital Evaluation, ASTIN Colloquium, 2020, 9(3), P.59.72.
[14] Hsiao, S.H., A study of the financial rating system and insolvencyprediction of life insurance in Taiwan, DBA Dissertation, 2015, 6(2), P. 29-48.
[15] IAIS, Quantifying and Assessing Insurance Liabilities, 2012, 17(4), P. 24-48.
[16] IAA, A Global Framework for Insurer Solvency Assessment. Ottawa: IAA, 2017, 11(4), P. 16-38.
IAIS, 2015. Insurance Core Principles, Standards, Guidance and Assessment Methodology, 2015, 3(3), P. 62-82.
[17] Chien-Chiang, L., Chun-Wei Lin., Globalization, Political Institutions, Financial Liberalization, and Performance of the Insurance Industry. The North American Journal of Economics and Finance, 2016. 14(3), P. 26-48. Doi: 10.1016/j.najef.2016.01.007
[18] Jialong, L., Maung, M., and Wilson. C., Governance and Financial Development: A Cross-Country Analysis, Journal of International Financial Markets, Institutions and Money, 2020, 4(1), P. 38-72.
Doi: 10.1016/j.intfin.2017.09.020
[19] Zegardi. J. A., Nazari, A., and Rezaei Nik, A., Project risk assessment by a combined approach of network analysis process and fuzzy TOPSIS method (industrial engineering and management), 2013, 17(4), P. 56-87. (in Persian). Doi: 10.1016/j.ejor.2017.06.064
[20] Momeni, M., and Shahkhah, N., Evaluating the efficiency of Iranian insurance companies using the two-step DEA communication model, https://civilica.com. , 2009, 8(4), P. 41-68. (in Persian).
[21] Atataleb, F., Ancestors, L., The concept, framework and model of risk-based monitoring system, Research project, Tehran: Insurance Research Institute, 2020, 5(2), P. 63-92. (in Persian).
[22] Yazdanpanah, A., Khalilzadeh, P., Risk-based supervision in the insurance industry: A conceptual framework, Twentieth National Conference and Sixth International Conference on Insurance and Development, Tehran: Insurance Research Institute, 2013, 3(3), P.72-41. (in Persian).
[23] Mahmmodi, A., Comparison studying of correlation relationship between economic added value, risk and operational cash flow in performance evaluating, M.A. thesis, Yazd University, Yazd, Iran, 2009, 6(3), P. 38-72. (in Persian).
[24] Shahalizade, B., Efficiency Investigation of DuPont Ratio for Profitability Predictions in Life Cycle of Firm, Paper presented at 11th National Accounting Conference of Iran, 2012, 4(3), P. 62-34. (in Persian).
[25] Hakim, P, Ziach B, and Avoe Nebda. Performance of significant risks in insurance companies. Journal of Business Research, 2022, 11(4), P. 22-65.
[26] Argo, V., Operational risk assessment in insurance markets, Procedia Economics and Finance, 2020, 2(4), P.74-90.
[27] Serin, C., Pabio, S. and Mia, P., Are insurance companies at risk of bankruptcy? ASTIN Colloquium, 2021, 18(2), P. 65-92.
[28] Catrin N and Jolio, Q., Implement a strong operational plan in insurance companiesof the Fifth International Conference on Accounting and Management with New Applied and Research Approaches, Tehran: Insurance Research Institute, 2022, 16(1), P. 46-68.
[30] Napo, V., and Guffrin, B., Analysis of insurance companies' ability against environmental risks, Insurance Jurnal , 2021, 10(2), P. 57-81.
[31] Bahiraie, A., Khanizade, F., Khamesian , F., Insurance Claim Classification: A new Genetic Programming Approach, Advances in Mathematical Finance and Applications, 2022, 7(2), P. 437-446.
Doi: 10.22034/AMFA.2021.1927097.1580
[32] Ahmadiyan, A., Ghasemi, M., Effect of Corporate Governance on Banking Failure, Advances in Mathematical Finance and Applications, 2022, 7(2), P. 361-378. Doi: 10.22034/AMFA.2021.1910355.1487
[33] Karami, R., Vaez, A., The Impact of Effective Corporate Governance on the Relationship between Tax Gap and Future Profit Changes in Iranian Economy, Advances in Mathematical Finance and Applications, 2022, 7(2), P. 345-359. Doi: 10.22034/AMFA.2020.1895426.1388