scholarly journals Modelling non-life insurance in Sri Lanka using Cox Hazard Model and classification of risky customers

2020 ◽  
Vol 11 (2) ◽  
pp. 118
Author(s):  
W. Ajith R. De Mel ◽  
W. A. P. A. Chathurangani
1993 ◽  
Vol 48 (2-3) ◽  
pp. 133-145 ◽  
Author(s):  
K. M. Puvaneswaran ◽  
P. A. Smithson

10.12737/1551 ◽  
2013 ◽  
Vol 1 (12) ◽  
pp. 86-93
Author(s):  
Владимир Баранков ◽  
Vladimir Barankov

The concept of social protection of judges — one of the most important guarantees of ensuring their independence is analyzed; classification of social guarantees of judges is given. Questions of life insurance and health of judges, coordination of relationship of judges and members of their families with territorial bodies of health care and the medical organizations are considered.


2016 ◽  
Vol 13 (2) ◽  
pp. 532-545
Author(s):  
Lucia Ehn

The aim of this paper is to characterize companies which voluntarily changed their ownership from public to private. The research question addressed in this paper is, if it is possible to characterize going private companies in earlier stages than just shortly before the announcement of their step into privacy. I therefore examine going private companies in a lifecycle context with Cox hazard model and conduct additional logistic regressions at the time of the IPO and shortly before delisting. Further, I not only focus on companies’ fundamentals, but also on perceptibility and corporate governance variables. With data of 1’184 US IPOs from 1990 to 2013, my results show that both, perceptibility and corporate governance variables accelerate the going private decision.


2020 ◽  
Vol 185 (9-10) ◽  
pp. 48-60
Author(s):  
Evgenia Prokopjeva ◽  
◽  
Natalia Kuznetsova ◽  
Svetlana Kalayda ◽  
◽  
...  

The relevance of the paper is predetermined by the fact that insurance acts as an institute of financial and social protection, and insurance companies (especially for long-term life insurance) are the most important and socially responsible investors, which account for about 8-12% of total investments in developed countries in the economy, which, in turn, serves as a significant factor in economic growth. The purpose of our paper is to prove the relationship between the level of development and dynamics of insurance markets on the one hand, and the level and dynamics of economic growth rates in a number of countries, on the other. To achieve the goal, we set and solved the research objectives: 1) to determine the degree of elaboration of the problem of the relationship between economic growth and the development of the insurance market in a number of countries and regions of the world economy; 2) to construct a comprehensive classification of similar and different characteristics in certain countries of the worlds’ economy (European, Asian, extended countries with a federal structure, post-socialist countries); 3) to highlight some indicators of the level of economic development and growth of classified countries (central bank interest rate, economic growth rate, investment growth rate, etc.) associated with some parameters of insurance market development, primarily with the volume and growth rate of insurance premiums, including the growth rate of life insurance premiums; 4) to classify the insurance regulation models of the grouped countries based on the analysis of the relationship between the selected economic and insurance indicators; 5) to assess the degree of relationship between the development of a relatively young and unbalanced insurance market and indicators of economic growth in Russia. The latter occupies a special place in the classification of the countries under consideration by characteristics of insurance development, by spatial, geopolitical parameters, by indicators of economic development and economic dynamics. The research results and conclusion are the following: 1) there is a direct relationship between the indicators of economic growth and indicators of the development of the insurance market in national economies and regional integration complexes; 2) different types of grouped countries have a different degree of dependence between indicators of economic growth and the insurance market indicators’ development, which is determined, not least of all, by historical, economic, spatial, geographical and geopolitical characteristics; 3) the close relationship between the indicators of economic development and growth of countries under consideration and their insurance markets is ambiguous, due to the fact that the active growth of insurance is noted in countries with a high density and a significant proportion of the young population; 4) the reasons for similarities and differences in the relationship under study are diverse and determined by differences in functioning of socio-economic systems (geographical, legislative, political, social, etc.), as well as by the adopted model of insurance regulation; 5) the growth of the insurance market corresponds to the general economic growth, subject to the intensification of investment activity; 6) life insurance shows a closer relationship with macroeconomic indicators compared to other segments of the insurance market; 7) the importance of studying the proposed problem for Russia in the future is due to its important integrating function for the national insurance markets of European as well as Asian countries.


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e15648-e15648
Author(s):  
Y. Nakai ◽  
H. Isayama ◽  
T. Sasaki ◽  
N. Sasahira ◽  
K. Hirano ◽  
...  

e15648 Background: S-1 was reported to be active against gemcitabine (Gem)-refractory pancreatic cancer (PaC) in Japan and was introduced in February 2005 in our institution. The aim of this study was to elucidate the impact of S-1 on prognosis of patients with Gem- refractory PaC. Methods: A total of 108 patients (pts) with advanced PaC who were treated with Gem and had disease progression (PD) at the University of Tokyo Hospital were analyzed. The introduction rates of second-line chemotherapy and the causes of introduction failure were assessed. Prognostic factors for residual survival (RS) for Gem-refractory PaC were analyzed by the Cox proportional hazard model. Results: Of 108 pts with Gem-refractory PaC, 47 pts (PreS-1 Group) had PD before February 2005, the time of S-1 introduction in our institution, and 61 pts (PostS-1 Group) after February 2005. There were no differences in baseline characteristics at PD for Gem between PreS-1 and PostS-1 Groups, except for metastasis to peritoneum more prevalent in PreS-1 Group (44.7% in PreS-1 Group and 23.0% in PostS-1 Group, p=0.023). The introduction rate of second-line chemotherapy increased from 12.8% in PreS-1 Group to 45.9% in PostS-1 Group. Second-line chemotherapy was administered in 34 pts, 29 by S-1, 4 by 5-FU-based chemoradiation, and 1 by 5-FU. The causes of introduction failure of second line chemotherapy were poor PS in 64.9%, patients’ refusal in 16.2%, infection in 2.7%, adverse effects of Gem in 1.4% and jaundice in 1.4%. RR, PFS, and OS for second-line S-1 were 17.2%, 2.5 Mo, and 7.8 Mo, respectively. PFS for Gem was not prognostic of PFS for S-1 (2.5 Mo both in pts with PFS >6Mo and in pts with PFS <6Mo for Gem). RS after PD for Gem was prolonged from 3.1 Mo in PreS-1 Group to 6.5 Mo in PostS-1 Group (p<0.001). The Cox hazard model revealed PreS-1 Group (HR2.42, p=0.001) in addition to male gender (HR1.83, p=0.019), poor PS (HR3.52, p<0.001), liver metastasis (HR2.36, p=0.037), elevated LDH (per 100U/L increase) (HR 1.30, p=0.046), elevated CRP (HR 1.14, p=0.023) at PD for Gem as poor prognostic factors of RS for Gem-refractory PaC. Conclusions: Introduction of S-1 might lead to improvement of prognosis in patients with Gem-refractory PaC. No significant financial relationships to disclose.


2016 ◽  
Vol 49 (3) ◽  
pp. 161-172 ◽  
Author(s):  
Jianjun Li ◽  
Sara Hsu ◽  
Zhang Chen ◽  
Yang Chen

2019 ◽  
Vol 1 (2) ◽  
pp. 88
Author(s):  
Firda Anisa Fajarini ◽  
Mohamat Fatekurohman

<p>Cox proportional hazard model is a regression model that is used to see the factors that cause an event. The survival analysis used in this research is the period of time the client is able to pay the life insurance premium using Cox proportional hazard model with Breslow method.The purpose of this research is to know how sex, age, insured money, job, method of payment of premium, premium, and type of product can influence the level of ability of client to make payment of life insurance premium based on customer data from PT. BRI Life Insurance Branch of Jember in 2007.The result of this research is the final model of Cox proportional hazard obtained from several variables which have significant influence with simultaneous and partial significance test is the variable of insured money (<em>X<sub>3</sub></em>), variable of payment method of premium (<em>X<sub>5</sub></em>), premium variable (<em>X<sub>6</sub></em>) , and insurance product variable (<em>X<sub>7</sub></em>) . The four variables are said to have a significant effect on the model, so that the final model of Cox proportional hazard is obtained that consists of the parameter estimation (<em>β</em>) value of each variable</p><p> </p><p><strong>Keywords</strong><strong> : </strong>survival analysis; cox proportional hazard model; breslow method; life insurance.</p>


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