Analisis Empiris Perilaku Lapse pada Nasabah Asuransi Jiwa di Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 73-81
Author(s):  
Kyi Zar Phyo Wai Hein ◽  
Jiengkham Keovilay ◽  
Wismoyo Adinegoro ◽  
Bangwon Ko

Understanding policyholder’s lapse behavior is important in managing insurers’ risk. Recently, numerous studies regarding lapse risk have been conducted in several countries. However, despite the market potential, none has been performed for Indonesia yet. Thus, in this paper, we investigate the determinants of lapse behavior for the Indonesian life insurance industry. Our empirical analysis considers two data sets from Indonesia Financial Service Authority and a private life insurance company using generalized linear model (GLM). In the first data set, we found a supporting evidence for emergency fund hypothesis. However, neither emergency fund hypothesis nor interest rate hypothesis was supported by the second data set. Instead, we found that other factors such as product type, premium payment frequency and policy age could affect policyholder’s lapse behavior more significantly.

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):  
Marc Maier ◽  
Hayley Carlotto ◽  
Freddie Sanchez ◽  
Sherriff Balogun ◽  
Sears Merritt

Life insurance provides trillions of dollars of financial security for hundreds of millions of individuals and families worldwide. Life insurance companies must accurately assess individual-level mortality risk to simultaneously maintain financial strength and price their products competitively. The traditional underwriting process used to assess this risk is based on manually examining an applicant’s health, behavioral, and financial profile. The existence of large historical data sets provides an unprecedented opportunity for artificial intelligence and machine learning to transform underwriting in the life insurance industry. We present an overview of how a rich application data set and survival modeling were combined to develop a life score that has been deployed in an algorithmic underwriting system at MassMutual, an American mutual life insurance company serving millions of clients. Through a novel evaluation framework, we show that the life score outperforms traditional underwriting by 6% on the basis of claims. We describe how engagement with actuaries, medical doctors, underwriters, and reinsurers was paramount to building an algorithmic underwriting system with a predictive model at its core. Finally, we provide details of the deployed system and highlight its value, which includes saving millions of dollars in operational efficiency while driving the decisions behind tens of billions of dollars of benefits.


2019 ◽  
Vol 49 (2) ◽  
pp. 409-432
Author(s):  
Fabio Gobbi ◽  
Nikolai Kolev ◽  
Sabrina Mulinacci

AbstractIn this paper we suggest a modeling of joint life insurance pricing via Extended Marshall–Olkin (EMO) models and related copulas. These models are based on the combination of two approaches: the absolutely continuous copula approach, where the copula is used to capture dependencies due to environmental factors shared by the two lives, and the classical Marshall–Olkin model, where the association is given by accounting for a fatal event causing the simultaneous death of the two lives. New properties of the EMO model are established and applied to a sample of censored residual lifetimes of couples of insureds extracted from a data set of annuities contracts of a large Canadian life insurance company. Finally, some joint life insurance products are analyzed.


Author(s):  
Rajesh K. Yadav ◽  
Sarvesh Mohania

For the purpose of covering up financial risk along with better return on the investment, Life insurance coverage is taken up. Claims are filed at the time of maturity or in case of death/disability. The study focuses on the claim settlement process of life insurance services of LIC of India and ICICI prudential life insurance company. With the increasing market due to increasing number of policies, numbers of claims are also increasing in both the companies. Therefore it is very much essential to have simple and clear claim settlement process. The study is based on the secondary data collected from IRDA and research papers from various journals. The study concluded that in both LIC of India and ICICI prudential life insurance company are following proper claim settlement process. LIC of India claim settlement process is very much efficient but not that transparent and approachable as claim settlement process of ICICI Prudential Life Insurance Company. ICICI Prudential Life Insurance Company with their preference to customers, setting standards by claim settlement process and continues to lead private life insurance sector.


PMLA ◽  
1935 ◽  
Vol 50 (4) ◽  
pp. 1357-1357

On Tuesday evening the members of the Association, and attending members of their families, were entertained with a buffet supper at the Queen City Club at 7:30 p.m. at the invitation of Messrs. Joseph S. Graydon, John J. Rowe, and other Cincinnati friends of the Association. Following this supper an entertainment arranged by the Local Committee was presented in the Hall of the Western and Southern Life Insurance Company. Attendance: about 900.


Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 348-354
Author(s):  
T. Krishna Veni ◽  
G. Kalyani

The job of Human Resources is changing as quick as innovation and the worldwide commercial center. Generally, the HR Department was seen as organization, kept individual documents and different records, dealt with the enlisting procedure, and gave other authoritative help to the business. Those circumstances are different. The positive consequence of these progressions is that HR experts have the chance to assume a progressively vital job in the business. The test for HR chiefs is to stay up with the latest with the most recent HR developments—mechanical, lawful, and something else.


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.


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