scholarly journals An internal model for measuring premium risk when determining solvency of non-life insurers

2018 ◽  
Vol 63 (217) ◽  
pp. 99-127
Author(s):  
Jelena Kocovic ◽  
Marija Koprivica

Under contemporary dynamic approaches the solvency of insurance companies is determined by measuring the risks that threaten their business. This paper presents an internal model for measuring premium risk when evaluating the solvency of non-life insurers. The solvency capital requirement is calculated on the basis of a compound distribution of insurance portfolio aggregate claim amount, resulting from combining separately modelled claim frequency and severity distributions, with prior verification of earned technical premium sufficiency. The practical application of the model is illustrated by a case study of a specific non-life insurance company in Serbia. The research findings show that the dynamic model of premium risk measurement results in larger capital requirement and contributes to a more reliable assessment of insurers? solvency than the static model. This proves the inadequacy of the existing fixed ratio model and stresses the need for changes in the current methodology of determining the solvency of insurance companies in Serbia.

Author(s):  
Joy Chakraborty ◽  
Partha Pratim Sengupta

In the pre-reform era, Life Insurance Corporation of India (LICI) dominated the Indian life insurance market with a market share close to 100 percent. But the situation drastically changed since the enactment of the IRDA Act in 1999. At the end of the FY 2012-13, the market share of LICI stood at around 73 percent with the number of players having risen to 24 in the countrys life insurance sector. One of the reasons for such a decline in the market share of LICI during the post-reform period could be attributed to the increasing competition prevailing in the countrys life insurance sector. At the same time, the liberalization of the life insurance sector for private participation has eventually raised issues about ensuring sound financial performance and solvency of the life insurance companies besides protection of the interest of policyholders. The present study is an attempt to evaluate and compare the financial performances, solvency, and the market concentration of the four leading life insurers in India namely the Life Insurance Corporation of India (LICI), ICICI Prudential Life Insurance Company Limited (ICICI PruLife), HDFC Standard Life Insurance Company Limited (HDFC Standard), and SBI Life Insurance Company Limited (SBI Life), over a span of five successive FYs 2008-09 to 2012-13. In this regard, the CARAMELS model has been used to evaluate the performances of the selected life insurers, based on the Financial Soundness Indicators (FSIs) as published by IMF. In addition to this, the Solvency and the Market Concentration Analyses were also presented for the selected life insurers for the given period. The present study revealed the preexisting dominance of LICI even after 15 years since the privatization of the countrys life insurance sector.


2018 ◽  
Vol 6 (4) ◽  
pp. 105-110
Author(s):  
I. Meenakshi

There are currently, a total of 24 life insurance companies in India. Of these, Life Insurance Corporation of India (LIC) is the only public sector insurance company. All others are private insurance companies. The Life Insurance Corporation of India (LIC) is the largest life insurance company in India and also the country's largest investor. More and more new private insurance companies are coming up year after year. And, these new and private life insurance companies adopt aggressive marketing strategies to introduce their products and to tap the potential policyholders. It is witnessed that new policies like ULIPs are introduced by these new private life insurance companies. It is in this concept this study has been undertaken to assess and analyze the preference of policyholders towards insurance services offered by public and private life insurance companies in Tirunelveli district.


Author(s):  
Mulia Saputra ◽  
Muhammad Arfan ◽  
Neni Zahara

This study aims to analyze and compare the efficiency between conventional life insurance companies and Islamic life insurance companies in Indonesia over the period of 2014-2018. The sample of this study was taken from 10 conventional life insurance companies and 10 shariah life insurance companies that were selected based on the purposive sampling technique. Measurement of efficiency in this study was conducted using the method of data envelopment analysis (DEA) based on Bankers-Charnes-Cooper (BCC) and Charnes-Cooper-Rhodes (CCR) models of the value-added approach. This was followed by testing the hypothesis using a different Mann-Whitney U-test. Input variables used are assets, capital, general and administrative costs, and commission expenses. Meanwhile, the output variables are premiums and investment income. The results showed that conventional life insurance companies are more efficient than Islamic life insurance companies based on the BCC and CCR models. Furthermore, the results of different tests using the Mann-Whitney U-test showed an insignificant difference in efficiency between conventional life insurance companies and Islamic life insurance companies during the study period. The results of the comparison of the average efficiency value with the DEA method indicated that the efficiency level of a conventional life insurance company was better than a shariah life insurance company.========================================================================================================Studi Perbandingan Efisiensi antara Asuransi Jiwa Konvensional dengan Syariah Menggunakan Data Envelopment Analysis. Penelitian ini bertujuan untuk menganalisis perbandingan efisiensi perusahaan asuransi jiwa konvensional dengan perusahaan asuransi jiwa syariah di indonesia pada periode 2014-2018. Sampel penelitian ini adalah 10 perusahaan asuransi jiwa konvensional dan 10 perusahaan asuransi jiwa syariah yang dipilih berdasarkan teknik purposive sampling. Pengukuran efisiensi dalam penelitian ini menggunakan metode data envelopment analysis (DEA) dengan model BCC dan CCR berdasarkan pendekatan nilai tambah. dilanjutkan dengan melakukan uji hipotesis menggunakan uji beda mann-whitney u-test. Variabel input yang digunakan adalah aset. modal. biaya administrasi dan umum. dan beban komisi. Sedangkan variabel outputnya adalah premi dan pendapatan investasi. Hasil penelitian menunjukkan bahwa perusahaan asuransi jiwa konvensional lebih efisien dibandingkan perusahaan asuransi jiwa syariah berdasarkan pengukuran dengan model BCC maupun model CCR. Selanjutnya hasil uji beda menggunakan uji mann-whitney u- test menunjukkan bahwa tidak terdapat perbedaan efisiensi yang signifikan antara perusahaan asuransi jiwa konvensional dan perusahaan asuransi jiwa syariah selama periode penelitian ini. Hasil perbandingan nilai efisiensi rata-rata dengan metode DEA menunjukkan bahwa tingkat efisiensi perusahaan asuransi jiwa konvensional lebih baik daripada perusahaan asuransi jiwa syariah.


2018 ◽  
Vol 9 (1) ◽  
pp. 6-19 ◽  
Author(s):  
William Wise

Life insurance is a very important segment of the economy of most countries as demonstrated by the investments, premium revenue and numbers employed. Hence, it is paramount to determine accurately how well life insurance companies (LICs) perform and how viable they are for the benefit of both other industries and national economies.Three papers that investigate LIC efficiency directly analyze how efficiency affects LIC profits. One critical feature is that they show that the inefficiency of LICs can greatly affect their (financial) outcome and ultimately their survivorship. Thus, said research clearly indicates that life insurer efficiency is a crucial area to investigate and assess and that it could greatly enhance the ability to properly monitor and inspect the life insurers.This article co-ordinates information regarding life insurance efficiency studies to help researchers learn which approaches, methods and output/input proxies to use. While some papers do so for some of the aspects that are important and necessary for life insurance efficiency studies, this is the first to deal with said aspects together. More specifically, this paper especially considers and evaluates the different methods and output proxies used in life insurance efficiency studies, as they seem to be the elements where the most disagreement exists between researchers. In addition, this article is unique in examining how input (proxy) prices are used in life insurance efficiency studies.


2019 ◽  
Vol 29 (3) ◽  
pp. 1132
Author(s):  
Arya Kandrasyah ◽  
Graciala Denita ◽  
Dyah Ambar ◽  
Musa Fresno ◽  
Dewi Hanggraeni

This research aims to determine whether the composition and attributes of female in the company’s board influence the performance of life insurance companies in Indonesia. The method used in this research is quantitative method, with pooled least square multiple regression technique. This research sample consist of 22 life insurance company in Indonesia on the 2014-2018 period. This research result shows that the female composition on the company’s board influences the performance of life insurance companies in Indonesia. While the educational and multi-directorship attributes, as well as corporate governance affect the performance of life insurance companies in Indonesia. Keywords : Performance; Female director; Female commissioner; Corporate Governance; Life Insurance.


2020 ◽  
Vol 9 (2) ◽  
pp. 110
Author(s):  
Mulia Saputra ◽  
Muhammad Arfan ◽  
Neni Zahara

This study aims to analyze and compare the efficiency between conventional life insurance companies and Islamic life insurance companies in Indonesia over the period of 2014-2018. The sample of this study was taken from 10 conventional life insurance companies and 10 shariah life insurance companies that were selected based on the purposive sampling technique. Measurement of efficiency in this study was conducted using the method of data envelopment analysis (DEA) based on Bankers-Charnes-Cooper (BCC) and Charnes-Cooper-Rhodes (CCR) models of the value-added approach. This was followed by testing the hypothesis using a different Mann-Whitney U-test. Input variables used are assets, capital, general and administrative costs, and commission expenses. Meanwhile, the output variables are premiums and investment income. The results showed that conventional life insurance companies are more efficient than Islamic life insurance companies based on the BCC and CCR models. Furthermore, the results of different tests using the Mann-Whitney U-test showed an insignificant difference in efficiency between conventional life insurance companies and Islamic life insurance companies during the study period. The results of the comparison of the average efficiency value with the DEA method indicated that the efficiency level of a conventional life insurance company was better than a shariah life insurance company.========================================================================================================Studi Perbandingan Efisiensi antara Asuransi Jiwa Konvensional dengan Syariah Menggunakan Data Envelopment Analysis. Penelitian ini bertujuan untuk menganalisis perbandingan efisiensi perusahaan asuransi jiwa konvensional dengan perusahaan asuransi jiwa syariah di indonesia pada periode 2014-2018. Sampel penelitian ini adalah 10 perusahaan asuransi jiwa konvensional dan 10 perusahaan asuransi jiwa syariah yang dipilih berdasarkan teknik purposive sampling. Pengukuran efisiensi dalam penelitian ini menggunakan metode data envelopment analysis (DEA) dengan model BCC dan CCR berdasarkan pendekatan nilai tambah. dilanjutkan dengan melakukan uji hipotesis menggunakan uji beda mann-whitney u-test. Variabel input yang digunakan adalah aset. modal. biaya administrasi dan umum. dan beban komisi. Sedangkan variabel outputnya adalah premi dan pendapatan investasi. Hasil penelitian menunjukkan bahwa perusahaan asuransi jiwa konvensional lebih efisien dibandingkan perusahaan asuransi jiwa syariah berdasarkan pengukuran dengan model BCC maupun model CCR. Selanjutnya hasil uji beda menggunakan uji mann-whitney u- test menunjukkan bahwa tidak terdapat perbedaan efisiensi yang signifikan antara perusahaan asuransi jiwa konvensional dan perusahaan asuransi jiwa syariah selama periode penelitian ini. Hasil perbandingan nilai efisiensi rata-rata dengan metode DEA menunjukkan bahwa tingkat efisiensi perusahaan asuransi jiwa konvensional lebih baik daripada perusahaan asuransi jiwa syariah.


The purpose of insurance is to accumulate funds to fulfill obligations to its clients, as well as to invest further in the expansion of insurance activities and the development of the country's economy. The success of insurance companies depends to a large extent on their financial status, that is, financial stability and solvency. The financial condition of an insurance company is characterized by the indicators that describe its ability to develop and successfully operate in a competitive market environment. The stable financial condition of the insurer is a guarantee of development in the conditions of the market economy and an insurance of the stability of the development of the insurance market in the country. The purpose of this research is to assess the financial stability of a non-life insurance company and to analyze the main factors affecting it with the use of computer simulation modelling. The simulation model covers the main processes of the non-life insurance company and is based on the application of financial analysis methods, economic and mathematical methods, and modern simulation technologies. Based on the simulation model, the financial stability of the insurance company is assessed, namely the analysis of the insurance company’s profitability, income, expenses, indicators of profitability; the coefficients of financial stability of the insurance fund and the level of insurance reserves for the analysis of the adequacy of the insurance fund are calculated; the actual and normative solvency margin is calculated for controlling the fulfillment of solvency conditions; the solvency ratio (autonomy) is calculated; the equity ratio is calculated and an analysis of the adequacy of equity is carried out. The developed simulation model can be used to increase the level of planning and analytical reporting, to improve methods of conducting insurance operations, to plan and forecast the activity, and to increase the validity of managerial decisions.


2022 ◽  
pp. 1-24
Author(s):  
Pengcheng Zhang ◽  
David Pitt ◽  
Xueyuan Wu

Abstract The fact that a large proportion of insurance policyholders make no claims during a one-year period highlights the importance of zero-inflated count models when analyzing the frequency of insurance claims. There is a vast literature focused on the univariate case of zero-inflated count models, while work in the area of multivariate models is considerably less advanced. Given that insurance companies write multiple lines of insurance business, where the claim counts on these lines of business are often correlated, there is a strong incentive to analyze multivariate claim count models. Motivated by the idea of Liu and Tian (Computational Statistics and Data Analysis, 83, 200–222; 2015), we develop a multivariate zero-inflated hurdle model to describe multivariate count data with extra zeros. This generalization offers more flexibility in modeling the behavior of individual claim counts while also incorporating a correlation structure between claim counts for different lines of insurance business. We develop an application of the expectation–maximization (EM) algorithm to enable the statistical inference necessary to estimate the parameters associated with our model. Our model is then applied to an automobile insurance portfolio from a major insurance company in Spain. We demonstrate that the model performance for the multivariate zero-inflated hurdle model is superior when compared to several alternatives.


1870 ◽  
Vol 15 (6) ◽  
pp. 411-432 ◽  
Author(s):  
Thomas B. Sprague

Some years ago I read before the Institute a paper bearing on this subject (see Journal, vol. xi., p. 90) in which I examined at considerable length the method of valuation which has been on various occasions so strongly advocated by Mr. Tucker, and which is denominated by him the “reinsurance method.” This term, however, appeared to me unsuitable, and I termed the method the “hypothetical method” of valuation; because the sums assured and the premiums are valued by means of a hypothetical table of the values of reversions and annuities, deduced by an inverse process from the premiums actually charged by the office. In that paper I compared Mr. Tucker's method with the net-premium method of valuation, and gave my reasons for believing the latter to be not only greatly superior to the former, but the method that should be generally employed. Subsequent consideration has however satisfied me that the net-premium method of valuation is also open to very serious objections, and that it is not applicable in all cases; and I propose on the present occasion, first to point out some of these objections, and then to consider briefly what method of valuation should be followed when the net-premium method is inapplicable. The subject however is a very wide one; and the present paper must be considered rather as a contribution to the discussion of a question that is all-important to those who have the responsibility of advising as to the liabilities of Life Insurance Companies, than as claiming to be itself a complete essay on the subject.


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