scholarly journals Identying Factors That Influences Fradulences in Non-Life Insurance Companies

2021 ◽  
Vol 9 (6) ◽  
pp. 93-102
Author(s):  
P. Ravindran Pathmananathan ◽  
Khairi Aseh
Keyword(s):  
Life Insurance ◽  
Tax Evasion ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Insurance Fraud ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Context Management ◽  
Public Context ◽  
Management Functions

Insurance fraud is the most common form of fraud in the world, aside from tax evasion. By its very existence, the insurance industry is prone to deception. Basic income levels in Vietnam have a tendency to steadily rise as a result of improving socioeconomic conditions. As a result, the need for citizen security has increased and become more diverse.The aim of this study is to study the predictor/s of anti-insurance fraud among non-insurer companies in Vietnam. This study was conducted using a questionnaire that was completed by 51 employees who are currently working in the 11 non-life insurance company in Vietnam. It can be concluded that there exists a significant relationship between all the four independent variables which are namely external regulations, public context, management functions as well as underwriting guidance.

scholarly journals Transforming Underwriting in the Life Insurance Industry

2019 ◽  
Vol 33 ◽  
pp. 9373-9380 ◽  
Author(s):  
Marc Maier ◽  
Hayley Carlotto ◽  
Freddie Sanchez ◽  
Sherriff Balogun ◽  
Sears Merritt
Keyword(s):  
Life Insurance ◽  
Insurance Industry ◽  
Evaluation Framework ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Data Set ◽  
Life Score ◽  
Individual Level ◽  
Life Insurance Industry

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.

scholarly journals Measuring Efficiency of Life Insurance Instution in Indonesia: Data Envelopment Analysis Approach

2017 ◽  
Vol 5 (1) ◽  
pp. 012
Author(s):  
Aam S. Rusydiana ◽  
Taufiq Nugroho
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Life Insurance Industry ◽  
Measuring Efficiency ◽  
Input Variables

This study aims to measure the level of efficiency of the life insurance industry in Indonesia. The calculation of the efficiency level in this study is relative, not absolute. The approach used is Data Envelopment Analysis (DEA). There are 8 research objects: Prudential, BNI Life, PaninDai-IchiLife, Asuransi Jiwasraya and Life Insurance Adisaranan Wanaartha, Takaful Takaful Insurance, Amanahjiwa Giri sharia insurance and Al-Amin sharia life insurance. This study consists of three input variables (cost of Commissive (X1), Operational Cost (X2), Total Equity (X3) and 2 output variables (Premium) (Y1) and Investment Revenue (Y2)). The results explain that there are 15 perfectly efficient DMUs (100%). And an inefficient of 24 DMU, consisting of 7 DMU conditions IRS and 17 DMU with DRS conditions. Of all the DMU observed, Prudential insurance is a life insurance company that is able to maintain its gradual efficiency level from 2013 to 2016 when compared to other life insurance in this observation. In general, the main factor inefficiency of life insurance industry in Indonesia (in observation) from 2012 to 2016 is from the output side. To be more efficient then life insurance companies should increase the value of premiums by 91% and investment income of 8%.

scholarly journals LIFE INSURANCE INDUSTRY IN INDIA-AN OVERVIEW

2016 ◽  
Vol 4 (10(SE)) ◽  
pp. 30-36
Author(s):  
N.Senthil Kumar ◽  
K. Selvamani
Keyword(s):  
Life Insurance ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Effective Control ◽  
Insurance Company ◽  
Marine Insurance ◽  
Life Insurance Company ◽  
Insurance Sector ◽  
Life Insurance Industry ◽  
The Government

The first insurer of life was the marine insurance underwriters who started issuing life insurance policies on the life of master and crew of the ship, and the merchants. The first insurance policy was issued on 18th June 1583,on the life of WILLIAM GIBBONS for the period of 12 months. The oriental life insurance company is the first insurance companies in India which is started on 1818 by Europeans at Kolkata. The Indian Life Assurance Companies Act, 1912 was the first statutory measure to regulate life business. In 1928, the Indian Insurance Companies Act was enacted to enable the Government to collect statistical information about both life and non-life business transacted in India by Indian and foreign insurers including provident insurance societies. In 1938, with a view to protecting the interest of the Insurance public, the earlier legislation was consolidated and amended by the Insurance Act, 1938 with comprehensive provisions for effective control over the activities of insurers. In 1956 the life insurance companies was nationalized. The LIC absorbed 154 Indian, 16 non-Indian insurers as also 75 provident societies—245 Indian and foreign insurers in all. The LIC had monopoly till the late 90s when the Insurance sector was reopened to the private sector.

scholarly journals Analisis Komposisi Ideal Dana Tabarru’-Ujrah Metode Dynamic Financial Analysis Perusahaan Asuransi Jiwa Syariah Di Indonesia

2017 ◽  
Vol 3 (2) ◽  
pp. 158
Author(s):  
Billy Purwocaroko N ◽  
Noven Suprayogi
Keyword(s):  
Life Insurance ◽  
Financial Analysis ◽  
Insurance Industry ◽  
Secondary Data ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Ideal Composition ◽  
Dynamic Financial Analysis ◽  
The Ideal

The aim of this study was to determine the ideal composition of tabarru'-ujrah fund on Sharia Life Insurance company in Indonesia through Dynamic Financial Analysis method. This research is a quantitative with a simulation approach. The simulation model was Monte Carlo simulation. The data using a secondary data from the financial statements of insurance sharia life insurance companies published between 2012-2014. There are two variables that influence the formation of the composition tabarru’ the claims and Retakaful. The results of this study indicate that the ideal composition tabarru'-ujrah funds obtained amounted to 68.73%: 31.27%. The phenomenon that occurs is the composition tabarru’ which showed a reading below 50%, the life insurance industry sharia set much ujrah in every contribution at the time of composition claims and Retakaful in a low position, and ROI DPS received until the end of the forecasting declining and even minus.

Indian Life Insurance Market and Corporate Performances: A Study of Selected Firms

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Joy Chakraborty ◽  
Partha Pratim Sengupta
Keyword(s):  
Market Share ◽  
Life Insurance ◽  
Market Concentration ◽  
Insurance Market ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Insurance Sector ◽  
Life Insurers ◽  
Company Limited

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.

scholarly journals Review On Application of Data Mining in Life Insurance

2018 ◽  
Vol 7 (4.5) ◽  
pp. 159
Author(s):  
Vaibhav A. Hiwase ◽  
Dr. Avinash J Agrawa
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Life Insurance ◽  
Insurance Industry ◽  
Feature Space ◽  
Machine Learning Techniques ◽  
High Dimensional ◽  
Insurance Company ◽  
Financial Loss ◽  
Life Insurance Company

The growth of life insurance has been mainly depending on the risk of insured people. These risks are unevenly distributed among the people which can be captured from different characteristics and lifestyle. These unknown distribution needs to be analyzed from        historical data and use for underwriting and policy-making in life insurance industry. Traditionally risk is calculated from selected     features known as risk factors but today it becomes important to know these risk factors in high dimensional feature space. Clustering in high dimensional feature is a challenging task mainly because of the curse of dimensionality and noisy features. Hence the use of data mining and machine learning techniques should experiment to see some interesting pattern and behaviour. This will help life insurance company to protect from financial loss to the insured person and company as well. This paper focuses on analyzing hidden correlation among features and use it for risk calculation of an individual customer.  

scholarly journals A STUDY ON PREFERENCE OF POLICYHOLDERS ABOUT PUBLIC AND PRIVATE LIFE INSURANCE COMPANIES IN TIRUNELVELI DISTRICT

2018 ◽  
Vol 6 (4) ◽  
pp. 105-110
Author(s):  
I. Meenakshi
Keyword(s):  
Public Sector ◽  
Life Insurance ◽  
Private Insurance ◽  
Marketing Strategies ◽  
Private Life ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Public And Private ◽  
New Policies

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.

scholarly journals A COMPARATIVE STUDY OF CONVENTIONAL AND SHARIAH LIFE INSURANCE EFFICIENCY USING DATA ENVELOPMENT ANALYSIS

2020 ◽  
Vol 9 ◽  
Author(s):  
Mulia Saputra ◽  
Muhammad Arfan ◽  
Neni Zahara
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Value Added ◽  
Sampling Technique ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Purposive Sampling ◽  
Test Input

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.

scholarly journals Life insurance company efficiency: best method and proxies

2018 ◽  
Vol 9 (1) ◽  
pp. 6-19 ◽  
Author(s):  
William Wise
Keyword(s):  
Life Insurance ◽  
Insurance Companies ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Critical Feature ◽  
Life Insurer ◽  
Financial Outcome ◽  
Do So

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.

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