scholarly journals Chain claims reserving methods in non-life insurance

2019 ◽  
Vol 1 (1) ◽  
pp. 216-225
Author(s):  
Aurora Elena Dina Manolache
Keyword(s):  
Life Insurance ◽  
Curve Fitting ◽  
Insurance Industry ◽  
Insurance Company ◽  
Industry Standard ◽  
Tail Development ◽  
General Insurance ◽  
Financial Strength ◽  
Life Insurer ◽  
Chain Ladder

Abstract Considering that the reliability of reserves valuation directly influences the financial strength of an insurance company, the main aim of this paper is to present a claims reserving estimation for a Romanian non-life insurer based on the most popular chain methods which are typically used in practice for the estimation of outstanding claims reserves in general insurance industry: Standard Chain Ladder and Munich Chain Ladder both on the claims incurred data and claims paid data. The tail development factors have been estimated based on the curve-fitting methods. The obvious advantage of these methods is represented by its simplicity of the practicality application. The results of the research under two chain claims reserving models reveal significant differences between the Standard Chain Ladder and Munich Chain Ladder with respect to the claims reserves level. Probably the Standard Chain Ladder based on paid method underestimates the outstanding loss liabilities and Standard Chain Ladder based on Incurred method overestimates the claims reserves. The claims reserves predictions under the Paid Munich Chain Ladder and Incurred Munich Chain Ladder are between the two Standard Chain Ladder outstanding loss liabilities estimates. The results of the tail extrapolation shown that the incorporation of the tail factors can have a significant impact on claims predictions.

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 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.

Determinants of Derivative Usage in the Life and General Insurance Industry: The Australian Evidence

2003 ◽  
Vol 06 (04) ◽  
pp. 405-431 ◽  
Author(s):  
Marc De Ceuster ◽  
Liam Flanagan ◽  
Allan Hodgson ◽  
Mohammad I. Tahir
Keyword(s):  
Life Insurance ◽  
Insurance Industry ◽  
Cost Effective ◽  
Insurance Companies ◽  
Long Tail ◽  
Life Insurers ◽  
Market Risks ◽  
Life Insurance Industry ◽  
General Insurance ◽  
Standard Operating

Core business and financial market risks are not easily reduced by standard operating procedures in insurance companies. Derivatives theoretically provide a cost effective vehicle to hedge these risks. This paper provides an empirical analysis of the determinants of derivative usage as well as the extent of derivative usage in the Australian insurance industry in both life and general insurance companies for the period 1997–1999. Empirical results for the Australian life insurance industry in general confirm the findings of UK and US based research. However, the Australian general insurance industry does not appear to follow the conclusions of previous literature. Our results indicate that for life insurers, the determinants of derivative usage were size, leverage and reinsurance. For the general insurance industry the determinants were size and the extent of long tail lines of business written. As regards the determinants of the extent of derivative usage, these were size and asset-liability duration mismatches for life insurers. For the general insurance industry the determinants of the extent of derivative usage were size, the extent of long tail lines of business written, and the reporting year.

scholarly journals Robustifying the multivariate chain-ladder method: A comparison of two methods

2016 ◽  
Vol 5 (1) ◽  
pp. 70-77
Author(s):  
Martine Van Wouwe ◽  
Nattakorn Phewchean
Keyword(s):  
Life Insurance ◽  
Higher Dimensions ◽  
Data Sets ◽  
Multiple Constraints ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Robust Solutions ◽  
Higher Dimensional ◽  
Chain Ladder Method ◽  
Chain Ladder

The expected result of a non-life insurance company is usually determined for its activity in different business lines as a whole. This implies that the claims reserving problem for a portfolio of several (perhaps correlated) subportfolios is to be solved. A popular technique for studying such a portfolio is the chain-ladder method. However, it is well known that the chain-ladder method is very sensitive to outlying data. For the bivariate situation, we have already developed robust solutions for the chain-ladder method by introducing two techniques for detecting and correcting outliers. In this article we focus on higher dimensions. Being subjected to multiple constraints (no graphical plots available), the goal of our research is to find solutions to detect and smooth the influence of outlying data on the outstanding claims reserve in higher dimensional data sets. The methodologies are illustrated and computed for real examples from the insurance practice.

scholarly journals Econometric Assessment of Factors Affecting the Development of Life Insurance in Uzbekistan

2021 ◽  
Vol 11 (2) ◽  
pp. 1123-1138
Author(s):  
Dinora Alisherovna Baratova
Keyword(s):  
Life Insurance ◽  
Insurance Industry ◽  
Theoretical Research ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Main Factors ◽  
Econometric Assessment

This article presents an econometric assessment of the role of the insurance industry in the economy of Uzbekistan and the factors influencing the development of life insurance. It also covers the scientific theoretical research of scientists studying the economics of insurance. In addition, the development of accumulative life insurance in Uzbekistan was econometrically analyzed and Uzbekinvest Life Insurance Company was selected as a sample from the package. The econometric analysis of the development of insurance activities of the insurance company "Uzbekinvest Life" identifies the main factors influencing its development. Factors influencing the development of Uzbekinvest Life insurance company through econometric models were assessed. In addition, proposals were made for the development of funded life insurance in Uzbekistan.

Ordnungspolitische Weichenstellungen für die anstehende Reform der Riester-Rente

2020 ◽  
Vol 69 (3) ◽  
pp. 239-249
Author(s):  
Axel Kleinlein
Keyword(s):  
Life Insurance ◽  
Financial Services ◽  
Service Providers ◽  
Insurance Industry ◽  
Financial Service ◽  
Mandatory Retirement ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Insurance Sector ◽  
Life Insurance Industry

Abstract The Riester pensions today face two main problems: First, life insurance industry in Germany faces the problem of inadequate solvency. Therefore, there is a need that we take the Riester pension not as a sole part of the life insurance sector and open it to the whole sector of financial services. Second, the previous regulation of the Riester pension is causing problems. Particularly the guarantee forces mandatory retirement with a life insurance company and the requirement of capital preservation. Therefore we have to review these two guarantee aspects. It is also important to limit costs and to simplify the funding system. The concept of the “Basisdepot-Vorsorge” solves these problems while it is based on promoting precisely those who want to save up for their retirement during their active career, no matter what kind of financial service is included in the accumulation or decumulation phase. To include all different financial service providers creates the needed economical competition to ensure better products for the Riester-Rente.

RE: Assessing the solvency and financial strength of a general insurance company, (JIA 114, 227) - Reply by C. D. Daykin et al

1987 ◽  
Vol 114 (3) ◽  
pp. 608-609
Author(s):  
C. D. Daykin ◽  
G. D. Bernstein ◽  
S. M. Coutts ◽  
E. R. F. Devitt ◽  
G. B. Hey ◽  
...  
Keyword(s):  
Insurance Company ◽  
General Insurance ◽  
Financial Strength

The China United Assurance Society and the Making of Chinese Life Insurance, 1912–1949

2020 ◽  
Vol 21 (3) ◽  
pp. 681-715 ◽  
Author(s):  
MATTHEW LOWENSTEIN
Keyword(s):  
Life Insurance ◽  
Insurance Industry ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Life Insurance Industry ◽  
History Of ◽  
Turbulent Process ◽  
Fierce Competition ◽  
Lapse Rates ◽  
Contemporary Chinese

This article traces the history of the first Chinese life insurance company: the China United Assurance Society. China United was founded in Shanghai in 1912 as a purely Chinese-owned enterprise and became the first Chinese life insurer to survive past its eighth year. By 1935, it boasted insurance in force of over 20 million yuan. In adapting life insurance to Republican China, China United had to contend with a number of extraordinary challenges. It had to train a corps of Chinese technical experts in a country without a single accredited actuary. It had to cultivate demand for a product that was poorly understood and often distrusted. At the same time, the Society was forced to find a way to manage a nationwide sales network that could market insurance products to a country that hitherto had little knowledge of life insurance. In doing so, it was threatened by interethnic strife sparked by racist practices of the foreign manager. Finally, China United had to overcome increasingly fierce competition, high lapse rates, and excess mortality that combined to drive underwriting profits negative. The Society was able to survive as a going concern only through its investing prowess in Chinese capital markets. Using previously unmined sources from the Shanghai Municipal Archives, this article charts China United’s turbulent process of indigenization, and explores its lasting legacies in the contemporary Chinese life insurance industry.

Sign in / Sign up

Export Citation Format

Share Document