Araştırma Makalesi
BibTex RIS Kaynak Göster

RUIN PROBABILITIES IN DEPENDENT INSURANCES WITH AUTOREGRESSIVE MODEL

Yıl 2018, Cilt: 7 Sayı: 4, 365 - 375, 30.12.2018
https://doi.org/10.17261/Pressacademia.2018.997

Öz

Purpose- Risk analysis and ruin probabilities were calculated with the assumption of independence in the past, however this assumption
does not reflect the reality at the present time. Today, insurance activities are more advanced, and consumers are more informed, for this
reason existence of dependency between insurance branches within the portfolio of an insurance firm, is unavoidable. Aim of this study is
to calculate the ruin probability for two dependent insurance branches.
Methodology- In this study, monthly claim data of a leading insurance firm which belongs to two different insurance branches namely
traffic and health, in the period of 2007-2016 are used.
Findings- In the case of fixed interest rate and initial capital, it’s found that if dependence of insurance branches decreases, ruin
probabilities decrease.
Conclusion- In the case of fixed interest rate and initial capital, to decrease the ruin probability, dependence of branches should be
decreased. To lower the dependence, collected premiums should be increased, thus lower adjustment coefficients can be obtained.
Accordingly, with the lower adjustment coefficient, ruin probabilities can be decreased.

Kaynakça

  • Bayramoğlu, M. M. (2018). Türkiye’de oduna dayalı orman ürünleri üzerine bir araştırma: zaman serisi analizi. Artvin Çoruh Üniversitesi Orman Mühendisliği Dergisi, 1: 18 – 26. DOI: 10.17474/artvinofd.333344
  • Cai, J., Li, H. (2007). Dependence properties and bounds for ruin probabilities in multivariate compound risk models. Journal of Multivariate Analysis, 98: 757-773. DOI: 10.1016/j.jmva.2006.06.004
  • Cossette, H., Marceau, E., Deschamps, W. M. (2010). Discrete-Time risk models based on time series for count random variables. The Journal of International Actuarial Association, 40(1): 123-150. DOI: 10.2143/AST.40.1.2049221
  • Dağlıoğlu, S., Erdemir, C. (2008a). Bazı bağımlı aktüeryal risk süreçlerinin deneysel sonuçları. İstatistikçiler Dergisi, 2: 105 – 124. Retrieved from http://www.istatistikciler.org/dergi/IstDer080204.pdf
  • Dağlıoğlu, S., Erdemir, C. (2008b). Bağımlı aktüeryal risklerin çok değişkenli zaman serisi modeli. İstatistikçiler Dergisi, 1: 144 – 163. Retrieved from http://dergipark.gov.tr/download/article-file/105645
  • Gu, C. (2013). The ruin problem of dependent risk model based on copula function. Journal of Chemical and Pharmaceutical Research, 5(9): 234-240. Retrieved from http://www.jocpr.com/articles/the-ruin-problem-of-dependent-risk-model-based-on-copula-function.pdf
  • Heilpern, S. (2009). Probability of ruin for a dependent, two-dimensional poisson process. Operations Research And Decision, 1: 77 – 90. Retrieved from https://www.researchgate.net/publication/227653942_Probability_of_ruin_for_a_dependent_two-dimensional_poisson_process
  • Jiang, W., Yang, Z. (2016). The maximum surplus before ruin for dependent risk models through farlie–gumbel–morgenstern copula. Scandinavian Actuarial Journal, 2016(5): 385-397. DOI: 10.2139/ssrn.2460490
  • Liosel S. and Lefevre C. (2009). Finite-Time ruin probabilities for discrete, possibly dependent, claim severities. Methodology And Computing In Applied Probability, 11(3): 425-441. DOI: 10.1007/s11009-009-9123-9
  • Makridakis, S., Wheelwright, S. C., Hyndman, R. J. (1998). Forecasting: methods and applications. John Wiley & Sons. Inc, United State of America.
  • Tse, Yiu-Kues (2009). Nonlife actuarial models theory, methods and evaluation. Cambridge Unıversity Press, New York.
  • Wan, L. M., Yuen, K. C., Li, W. K. (2005). Ultimate ruin probability for a time-series risk model with dependent classes of ınsurance business. Journal of Actuarial Practice, 12: 193-214. Retrieved from http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1027&context=joap
  • Wang, S., Dhaene, J. (1998). Comonotonicity, correlation order and premium principles. Insurance: Mathematics and Economics, 22: 235 – 242. DOI: 10.1016/S0167-6687(97)00040-1
  • Wu, X. W., Yuen, K. C. (2003). A discrete-time risk model with interaction between classes of business. Insurance: Mathematics and Economics, 33: 117-133. DOI: 10.1016/S0167-6687(03)00148-3
  • Yang, H. (2003). Ruin theory in a financial corporation model with credit risk. Insurance: Mathematics and Economics, 33: 135-145. DOI: 10.1016/S0167-6687(03)00149-5
  • Yang, H., Zhang, L. (2006). Ruin problems for a discrete time risk model with random interest rate. Mathematical Methods of Operations Research, 63(2): 287-299. DOI: 10.1007/s00186-005-0025-5
  • Zhang, Z., Yuen, K. C., Li, W. K. (2007). A Time-Series risk model with constant interest for dependent classes of business. Insurance: Mathematics and Economics, 41: 32-40. DOI: 10.1016/j.insmatheco.2006.08.006
Yıl 2018, Cilt: 7 Sayı: 4, 365 - 375, 30.12.2018
https://doi.org/10.17261/Pressacademia.2018.997

Öz

Kaynakça

  • Bayramoğlu, M. M. (2018). Türkiye’de oduna dayalı orman ürünleri üzerine bir araştırma: zaman serisi analizi. Artvin Çoruh Üniversitesi Orman Mühendisliği Dergisi, 1: 18 – 26. DOI: 10.17474/artvinofd.333344
  • Cai, J., Li, H. (2007). Dependence properties and bounds for ruin probabilities in multivariate compound risk models. Journal of Multivariate Analysis, 98: 757-773. DOI: 10.1016/j.jmva.2006.06.004
  • Cossette, H., Marceau, E., Deschamps, W. M. (2010). Discrete-Time risk models based on time series for count random variables. The Journal of International Actuarial Association, 40(1): 123-150. DOI: 10.2143/AST.40.1.2049221
  • Dağlıoğlu, S., Erdemir, C. (2008a). Bazı bağımlı aktüeryal risk süreçlerinin deneysel sonuçları. İstatistikçiler Dergisi, 2: 105 – 124. Retrieved from http://www.istatistikciler.org/dergi/IstDer080204.pdf
  • Dağlıoğlu, S., Erdemir, C. (2008b). Bağımlı aktüeryal risklerin çok değişkenli zaman serisi modeli. İstatistikçiler Dergisi, 1: 144 – 163. Retrieved from http://dergipark.gov.tr/download/article-file/105645
  • Gu, C. (2013). The ruin problem of dependent risk model based on copula function. Journal of Chemical and Pharmaceutical Research, 5(9): 234-240. Retrieved from http://www.jocpr.com/articles/the-ruin-problem-of-dependent-risk-model-based-on-copula-function.pdf
  • Heilpern, S. (2009). Probability of ruin for a dependent, two-dimensional poisson process. Operations Research And Decision, 1: 77 – 90. Retrieved from https://www.researchgate.net/publication/227653942_Probability_of_ruin_for_a_dependent_two-dimensional_poisson_process
  • Jiang, W., Yang, Z. (2016). The maximum surplus before ruin for dependent risk models through farlie–gumbel–morgenstern copula. Scandinavian Actuarial Journal, 2016(5): 385-397. DOI: 10.2139/ssrn.2460490
  • Liosel S. and Lefevre C. (2009). Finite-Time ruin probabilities for discrete, possibly dependent, claim severities. Methodology And Computing In Applied Probability, 11(3): 425-441. DOI: 10.1007/s11009-009-9123-9
  • Makridakis, S., Wheelwright, S. C., Hyndman, R. J. (1998). Forecasting: methods and applications. John Wiley & Sons. Inc, United State of America.
  • Tse, Yiu-Kues (2009). Nonlife actuarial models theory, methods and evaluation. Cambridge Unıversity Press, New York.
  • Wan, L. M., Yuen, K. C., Li, W. K. (2005). Ultimate ruin probability for a time-series risk model with dependent classes of ınsurance business. Journal of Actuarial Practice, 12: 193-214. Retrieved from http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1027&context=joap
  • Wang, S., Dhaene, J. (1998). Comonotonicity, correlation order and premium principles. Insurance: Mathematics and Economics, 22: 235 – 242. DOI: 10.1016/S0167-6687(97)00040-1
  • Wu, X. W., Yuen, K. C. (2003). A discrete-time risk model with interaction between classes of business. Insurance: Mathematics and Economics, 33: 117-133. DOI: 10.1016/S0167-6687(03)00148-3
  • Yang, H. (2003). Ruin theory in a financial corporation model with credit risk. Insurance: Mathematics and Economics, 33: 135-145. DOI: 10.1016/S0167-6687(03)00149-5
  • Yang, H., Zhang, L. (2006). Ruin problems for a discrete time risk model with random interest rate. Mathematical Methods of Operations Research, 63(2): 287-299. DOI: 10.1007/s00186-005-0025-5
  • Zhang, Z., Yuen, K. C., Li, W. K. (2007). A Time-Series risk model with constant interest for dependent classes of business. Insurance: Mathematics and Economics, 41: 32-40. DOI: 10.1016/j.insmatheco.2006.08.006
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Articles
Yazarlar

Elif Makbule Cekici 0000-0002-1603-9896

Sami Ozcan 0000-0002-7654-7614

Hasan Durmus Bu kişi benim 0000-0001-8240-4671

Yayımlanma Tarihi 30 Aralık 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 7 Sayı: 4

Kaynak Göster

APA Cekici, E. M., Ozcan, S., & Durmus, H. (2018). RUIN PROBABILITIES IN DEPENDENT INSURANCES WITH AUTOREGRESSIVE MODEL. Journal of Business Economics and Finance, 7(4), 365-375. https://doi.org/10.17261/Pressacademia.2018.997

Journal of Business, Economics and Finance (JBEF) is a scientific, academic, double blind peer-reviewed, quarterly and open-access journal. The publication language is English. The journal publishes four issues a year. The issuing months are March, June, September and December. The journal aims to provide a research source for all practitioners, policy makers and researchers working in the areas of business, economics and finance. The Editor of JBEF invites all manuscripts that that cover theoretical and/or applied researches on topics related to the interest areas of the Journal. JBEF charges no submission or publication fee.



Ethics Policy - JBEF applies the standards of Committee on Publication Ethics (COPE). JBEF is committed to the academic community ensuring ethics and quality of manuscripts in publications. Plagiarism is strictly forbidden and the manuscripts found to be plagiarized will not be accepted or if published will be removed from the publication. Authors must certify that their manuscripts are their original work. Plagiarism, duplicate, data fabrication and redundant publications are forbidden. The manuscripts are subject to plagiarism check by iThenticate or similar. All manuscript submissions must provide a similarity report (up to 15% excluding quotes, bibliography, abstract, method).


Open Access - All research articles published in PressAcademia Journals are fully open access; immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Open access is a property of individual works, not necessarily journals or publishers. Community standards, rather than copyright law, will continue to provide the mechanism for enforcement of proper attribution and responsible use of the published work, as they do now.