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IS THERE A CAUSAL RELATIONSHIP BETWEEN FINANCIAL PERFORMANCE AND PREMIUM PRODUCTION? EVIDENCE FROM TURKISH INSURANCE INDUSTRY

Year 2023, Volume: 10 Issue: 2, 1388 - 1412, 02.08.2023
https://doi.org/10.30798/makuiibf.1220299

Abstract

This study aims at determining the causal link between financial performance and premium production of non-life insurance companies. The relation between the financial performance and premium production is explored employing data from the 2011-2019 period for eight Turkish non-life insurance companies. In the first stage of the analysis, a hybrid model including LOPCOW, SWARA II, and MARCOS methods is proposed to determine companies’ financial performance values. In this stage, a novel integrated weighting method for calculating criterion weights is applied based on objective information and judgements of decision-makers. In the second stage, the association between financial performance and premium production is investigated by correlation analysis. In the last stage, the causality linkage between the two variables is estimated using a panel causality test developed by Dumitrescu and Hurlin (2012). According to the results obtained from the panel causality test, the bidirectional causality relation exists between financial performance and premium production. Besides, the individual panel causality results reveal that bidirectional causality is valid for only Allianz and Anadolu insurance companies, which had an average share of over 35% in total non-life premium production during the analysis period. The paper provides fresh evidence on the association between the financial performance and premium production, particularly from the Turkish context.

References

  • Ahmed, N., Ahmed, Z., & Usman, A. (2011). Determinants of performance: a case of life insurance sector of Pakistan. International Research Journal Finance and Economics, 61, 123–128.
  • Al-Faryan, M. A. S., & Alokla, J. (2023). Do Publicly Listed Insurance Firms in Saudi Arabia Have Strong Corporate Governance?. Economies, 11(1), 21.
  • Almajali, A.Y., Alamro, S.A., & Al-Soub, Y.Z. (2012). Factors affecting the financial performance of Jordanian insurance companies listed at Amman Stock Exchange. Journal Management Research, 4(2), 266–289.
  • Apergis, N., & Poufinas, T. (2020). The role of insurance growth in economic growth: Fresh evidence from a panel of OECD countries. The North American Journal of Economics and Finance, 53, 101217.
  • Banerjee, S., & Savitha, B. (2021). Competition reduces profitability: the case of the Indian life microinsurance industry. The Geneva Papers on Risk and Insurance - Issues and Practice, 46, 383-398.
  • Berteji, A., & Hammami, S. (2016). The determinants of the performance of the life insurance companies in Tunisia. International journal of economics, commerce and management, 4(7), 334-343.
  • Burca, A.-M., & Batrinca, G. (2014). The Determinants of financial performance in the Romanian insurance market. International Journal of Academic Research in Accounting Finance and Management Sciences, 4(1), 299–308.
  • Camino-Mogro, S., & Bermúdez-Barrezueta, N. (2019). Determinants of profitability of life and non-life insurance companies: evidence from Ecuador. International Journal of Emerging Markets, 14(5), 831–872.
  • Chen, S.-Y., & Lu, C.-C. (2015). Assessing the competitiveness of insurance corporations using fuzzy correlation analysis and improved fuzzy modified TOPSIS. Expert Systems, 32(3), 392–404.
  • Dumitrescu, E.I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460.
  • Ecer, F., & Pamucar, D. (2022). A novel LOPCOW-DOBI multi-criteria sustainability performance assessment methodology: An application in developing country banking sector. Omega, 102690.
  • Ecer, F., & Pamucar, D. (2021). MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services. Applied Soft Computing, 104, 107199.
  • Eling, M., & Jia, R. (2019). Efficiency and profitability in the global insurance industry. Pacific-Basin Finance Journal, 57, 101190.
  • Hasan, M.B., Islam, S.M.N., & Wahid, A.N.M. (2018). The effect of macroeconomic variables on the performance of non-life insurance companies in Bangladesh. Indian Economic Review, 53(1), 369–383.
  • Im, K., Pesaran, H., & Shin, Y. (2003). Testing for unit roots in heterogenous panels. Journal of Econometrics, 115(1), 53–74.
  • Kang, J.S., Shin, D.H., Baek, J.W., & Chung, K. (2019). Activity recommendation model using rank correlation for chronic stress management. Applied Sciences, 9(20), 4284.
  • Keshavarz-Ghorabaee, M. (2021). Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach. Scientific Reports, 11(1), 1-19.
  • Killins, R.N. (2020). Firm-specific, industry-specific and macroeconomic factors of life insurers’ profitability: evidence from Canada. The North America Journal of Economics and Finance, 51, 101068.
  • Levin, A., Lin, C.F., & Chu, C.S.J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108, 1–24.
  • MacCrimmon, K. R. (1968). Decision making among multiple-attribute alternatives: a survey and consolidated approach (No. RM-4823-ARPA). The Rand Corporation, Santa Monica, California.
  • Maniya, K., & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials & Design, 31(4), 1785-1789.
  • Mazviona, B. W., Dube, M., & Sakahuhwa, T. (2017). An analysis of factors affecting the performance of insurance companies in Zimbabwe. Journal of Finance and Investment Analysis, 6, 1-21.
  • Msomi, T.S. (2023) Macroeconomic and firm-specific determinants of financial performance: Evidence from non-life insurance companies in Africa, Cogent Business & Management, 10:1, 2190312.
  • Muthulakshmi., P., & Muthumoni, A. (2023). Determinants of Financial Performance-A Comparative Analysis of Public Sector Non-Life Insurers in India, 14(1), 25-33.
  • Öner Kaya, E. (2015). The effects of firm-specific factors on the profitability of non-life insurance companies in Turkey. International Journal of Financial Studies, 3(4), 510–529.
  • Oscar Akotey, J., Sackey, F.G., Amoah, L., & Frimpong Manso, R. (2013). The financial performance of life insurance companies in Ghana. The Journal of Risk Finance, 14(3), 286–302.
  • Pervan, M., Curak, M., & Mariajnovic, I. (2012). Dynamic panel analysis of B&H insurance companies’ profitability. Recent Research Business and Economics, 1, 158–163.
  • Pjanić, M., Milenkovic, N., Kalaš, B., & Mirović, V. (2018). Profitability determinants of non-life insurance companies in Serbia. Ekonomika Preduzeca, 66(5-6), 333–345.
  • Puška, A., Stević, Ž., & Pamučar, D. (2022). Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods. Environment, Development and Sustainability, 24, 1195–11225.
  • Shapiro, S.S., & Wilk, M.B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591–611.
  • Sharma, A., Jadi, D.M., & Ward, D. (2021). Analysing the determinants of financial performance for UK insurance companies using financial strength ratings information. Economic Change and Restructuring, 54(3-4), 683-697.
  • Shiu, Y. (2004). Determinants of United Kingdom general insurance company performance. British Actuarial Journal, 10(5), 1079–1110.
  • Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231.
  • The Republic of Turkey Ministry of Treasury and Finance. (2019). “Reports on insurance and private pensions activities”, available at https://www.hmb.gov.tr/sigortacilik-ve-ozel-emeklilik-raporlari.
  • Torkayesh, A. E., Pamucar, D., Ecer, F., & Chatterjee, P. (2021). An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio-Economic Planning Sciences, 78, 101052.
  • Wang, J.L., Jeng, V., & Peng, J.L. (2007). The Impact of corporate governance structure on the efficiency performance of insurance companies in Taiwan. The Geneva Papers on Risk and Insurance, Issues and Practice, 32(2), 264–282.
  • Ward, D., & Zurbruegg, R. (2000). Does insurance promote economic growth? evidence from OECD countries. Journal of Risk and Insurance, 67(4), 489–506.
  • Zainudin, R., Ahmad Mahdzan, N.S., & Leong, E. (2018). Firm-specific internal determinants of profitability performance: an exploratory study of selected life insurance firms in Asia. Journal of Asia Business Studies, 12(1), 533–550.

FİNANSAL PERFORMANS İLE PRİM ÜRETİMİ ARASINDA BİR NEDENSELLİK İLİŞKİSİ VAR MI? TÜRK SİGORTA SEKTÖRÜNDEN KANITLAR

Year 2023, Volume: 10 Issue: 2, 1388 - 1412, 02.08.2023
https://doi.org/10.30798/makuiibf.1220299

Abstract

Bu çalışma, hayat dışı sigorta şirketlerinin finansal performansı ile prim üretimi arasındaki nedensellik ilişkisini belirlemeyi amaçlamaktadır. Finansal performans ile prim üretimi arasındaki ilişki, sekiz Türk hayat dışı sigorta şirketi için 2011-2019 dönemi verileri kullanılarak incelenmiştir. Analizin ilk aşamasında şirketlerin finansal performans değerlerinin belirlenmesi için LOPCOW, SWARA II ve MARCOS yöntemlerini içeren hibrit bir model önerilmiştir. Bu aşamada, objektif bilgilere ve uzman komitesinin sübjektif yorumlarına dayalı olarak kriter ağırlıklarını hesaplamak için yeni bir entegre ağırlıklandırma yöntemi uygulanmıştır. İkinci aşamada ise finansal performans ile prim üretimi arasındaki ilişki korelasyon analizi ile araştırılmıştır. Son aşamada, iki değişken arasındaki nedensellik ilişkisi, Dumitrescu ve Hurlin (2012) tarafından geliştirilen bir panel nedensellik testi kullanılarak tahmin edilmiştir. Panel nedensellik testinden elde edilen sonuçlara göre finansal performans ile prim üretimi arasında çift yönlü nedensellik ilişkisi bulunmaktadır. Ayrıca, bireysel panel nedensellik sonuçları, analiz döneminde toplam hayat dışı prim üretiminde ortalama %35'in üzerinde paya sahip olan Allianz ve Anadolu sigorta şirketleri için çift yönlü nedenselliğin geçerli olduğunu ortaya koymaktadır. Bu makale özellikle Türkiye bağlamında finansal performans ile prim üretimi arasındaki ilişkiye dair yeni kanıtlar sunmaktadır.

References

  • Ahmed, N., Ahmed, Z., & Usman, A. (2011). Determinants of performance: a case of life insurance sector of Pakistan. International Research Journal Finance and Economics, 61, 123–128.
  • Al-Faryan, M. A. S., & Alokla, J. (2023). Do Publicly Listed Insurance Firms in Saudi Arabia Have Strong Corporate Governance?. Economies, 11(1), 21.
  • Almajali, A.Y., Alamro, S.A., & Al-Soub, Y.Z. (2012). Factors affecting the financial performance of Jordanian insurance companies listed at Amman Stock Exchange. Journal Management Research, 4(2), 266–289.
  • Apergis, N., & Poufinas, T. (2020). The role of insurance growth in economic growth: Fresh evidence from a panel of OECD countries. The North American Journal of Economics and Finance, 53, 101217.
  • Banerjee, S., & Savitha, B. (2021). Competition reduces profitability: the case of the Indian life microinsurance industry. The Geneva Papers on Risk and Insurance - Issues and Practice, 46, 383-398.
  • Berteji, A., & Hammami, S. (2016). The determinants of the performance of the life insurance companies in Tunisia. International journal of economics, commerce and management, 4(7), 334-343.
  • Burca, A.-M., & Batrinca, G. (2014). The Determinants of financial performance in the Romanian insurance market. International Journal of Academic Research in Accounting Finance and Management Sciences, 4(1), 299–308.
  • Camino-Mogro, S., & Bermúdez-Barrezueta, N. (2019). Determinants of profitability of life and non-life insurance companies: evidence from Ecuador. International Journal of Emerging Markets, 14(5), 831–872.
  • Chen, S.-Y., & Lu, C.-C. (2015). Assessing the competitiveness of insurance corporations using fuzzy correlation analysis and improved fuzzy modified TOPSIS. Expert Systems, 32(3), 392–404.
  • Dumitrescu, E.I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460.
  • Ecer, F., & Pamucar, D. (2022). A novel LOPCOW-DOBI multi-criteria sustainability performance assessment methodology: An application in developing country banking sector. Omega, 102690.
  • Ecer, F., & Pamucar, D. (2021). MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services. Applied Soft Computing, 104, 107199.
  • Eling, M., & Jia, R. (2019). Efficiency and profitability in the global insurance industry. Pacific-Basin Finance Journal, 57, 101190.
  • Hasan, M.B., Islam, S.M.N., & Wahid, A.N.M. (2018). The effect of macroeconomic variables on the performance of non-life insurance companies in Bangladesh. Indian Economic Review, 53(1), 369–383.
  • Im, K., Pesaran, H., & Shin, Y. (2003). Testing for unit roots in heterogenous panels. Journal of Econometrics, 115(1), 53–74.
  • Kang, J.S., Shin, D.H., Baek, J.W., & Chung, K. (2019). Activity recommendation model using rank correlation for chronic stress management. Applied Sciences, 9(20), 4284.
  • Keshavarz-Ghorabaee, M. (2021). Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach. Scientific Reports, 11(1), 1-19.
  • Killins, R.N. (2020). Firm-specific, industry-specific and macroeconomic factors of life insurers’ profitability: evidence from Canada. The North America Journal of Economics and Finance, 51, 101068.
  • Levin, A., Lin, C.F., & Chu, C.S.J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108, 1–24.
  • MacCrimmon, K. R. (1968). Decision making among multiple-attribute alternatives: a survey and consolidated approach (No. RM-4823-ARPA). The Rand Corporation, Santa Monica, California.
  • Maniya, K., & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials & Design, 31(4), 1785-1789.
  • Mazviona, B. W., Dube, M., & Sakahuhwa, T. (2017). An analysis of factors affecting the performance of insurance companies in Zimbabwe. Journal of Finance and Investment Analysis, 6, 1-21.
  • Msomi, T.S. (2023) Macroeconomic and firm-specific determinants of financial performance: Evidence from non-life insurance companies in Africa, Cogent Business & Management, 10:1, 2190312.
  • Muthulakshmi., P., & Muthumoni, A. (2023). Determinants of Financial Performance-A Comparative Analysis of Public Sector Non-Life Insurers in India, 14(1), 25-33.
  • Öner Kaya, E. (2015). The effects of firm-specific factors on the profitability of non-life insurance companies in Turkey. International Journal of Financial Studies, 3(4), 510–529.
  • Oscar Akotey, J., Sackey, F.G., Amoah, L., & Frimpong Manso, R. (2013). The financial performance of life insurance companies in Ghana. The Journal of Risk Finance, 14(3), 286–302.
  • Pervan, M., Curak, M., & Mariajnovic, I. (2012). Dynamic panel analysis of B&H insurance companies’ profitability. Recent Research Business and Economics, 1, 158–163.
  • Pjanić, M., Milenkovic, N., Kalaš, B., & Mirović, V. (2018). Profitability determinants of non-life insurance companies in Serbia. Ekonomika Preduzeca, 66(5-6), 333–345.
  • Puška, A., Stević, Ž., & Pamučar, D. (2022). Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods. Environment, Development and Sustainability, 24, 1195–11225.
  • Shapiro, S.S., & Wilk, M.B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591–611.
  • Sharma, A., Jadi, D.M., & Ward, D. (2021). Analysing the determinants of financial performance for UK insurance companies using financial strength ratings information. Economic Change and Restructuring, 54(3-4), 683-697.
  • Shiu, Y. (2004). Determinants of United Kingdom general insurance company performance. British Actuarial Journal, 10(5), 1079–1110.
  • Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231.
  • The Republic of Turkey Ministry of Treasury and Finance. (2019). “Reports on insurance and private pensions activities”, available at https://www.hmb.gov.tr/sigortacilik-ve-ozel-emeklilik-raporlari.
  • Torkayesh, A. E., Pamucar, D., Ecer, F., & Chatterjee, P. (2021). An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socio-Economic Planning Sciences, 78, 101052.
  • Wang, J.L., Jeng, V., & Peng, J.L. (2007). The Impact of corporate governance structure on the efficiency performance of insurance companies in Taiwan. The Geneva Papers on Risk and Insurance, Issues and Practice, 32(2), 264–282.
  • Ward, D., & Zurbruegg, R. (2000). Does insurance promote economic growth? evidence from OECD countries. Journal of Risk and Insurance, 67(4), 489–506.
  • Zainudin, R., Ahmad Mahdzan, N.S., & Leong, E. (2018). Firm-specific internal determinants of profitability performance: an exploratory study of selected life insurance firms in Asia. Journal of Asia Business Studies, 12(1), 533–550.
There are 38 citations in total.

Details

Primary Language English
Subjects Econometric and Statistical Methods
Journal Section Research Articles
Authors

Özcan Işık 0000-0003-2230-8738

Mohsin Shabir 0000-0002-1315-8654

Murat Belke 0000-0002-3299-7162

Publication Date August 2, 2023
Submission Date December 16, 2022
Published in Issue Year 2023 Volume: 10 Issue: 2

Cite

APA Işık, Ö., Shabir, M., & Belke, M. (2023). IS THERE A CAUSAL RELATIONSHIP BETWEEN FINANCIAL PERFORMANCE AND PREMIUM PRODUCTION? EVIDENCE FROM TURKISH INSURANCE INDUSTRY. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 10(2), 1388-1412. https://doi.org/10.30798/makuiibf.1220299

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