scholarly journals German Insurance Market

2020 ◽  
Vol 2020 (651) ◽  
pp. 651_81-651_110
Author(s):  
Masako Takeuchi
Keyword(s):  
Insurance Market

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Insurance Market ◽  
Grey Model ◽  
Loss Ratio ◽  
Grey System ◽  
Mathematical Technique ◽  
Supervisory Authority ◽  
Error Ratio ◽  
Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

State Approaches to Premium Rate Reforms in the Individual Health Insurance Market

2014 ◽  
Author(s):  
Sabrina Corlette Corlette ◽  
Kevin W. Lucia Lucia ◽  
Justin Giovannelli Giovannelli
Keyword(s):  
Health Insurance ◽  
Insurance Market ◽  
Premium Rate ◽  
Individual Health ◽  
Health Insurance Market ◽  
The Individual

Studying the factors of regional insurance market development using the correlation and regression analysis

2020 ◽  
Vol 26 (7) ◽  
pp. 1610-1630
Author(s):  
E.L. Prokop'eva
Keyword(s):  
Regression Analysis ◽  
Federal District ◽  
Insurance Market ◽  
Market Development ◽  
Insurance Markets ◽  
Regression Equations ◽  
Factors Affecting ◽  
Correlation And Regression Analysis ◽  
Country Level ◽  
Inverse Effect

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them. Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance. Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis. Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere. Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

The insurance market in Russia at the present time

2019 ◽  
Vol 25 (9) ◽  
pp. 2179-2192
Author(s):  
L.V. Rezanova ◽  
◽  
M.V. Moroshkina ◽  
Keyword(s):  
Insurance Market

Characteristics of Americans Ages 50 to 64 in the Nongroup Health Insurance Market

2020 ◽  
Author(s):  
Jane Sung ◽  
Olivia Dean ◽  
Asha Saavoss ◽  
Robert Saunders
Keyword(s):  
Health Insurance ◽  
Insurance Market ◽  
Health Insurance Market

Digitalization of Competition in the Insurance Market

2018 ◽  
Vol 11 (2) ◽  
pp. 121-128
Author(s):  
D. V. Bryzgalov
Keyword(s):  
Digital Technologies ◽  
Insurance Market ◽  
Insurance Companies ◽  
Sales Channels ◽  
Channel Competition ◽  
Research Findings ◽  
The Subject

The subject of the research is the influence of the insurance market digitalization on competition forms in insurance. The purpose of the research was to study the forms of competition and factors of competitiveness in the process of digitalization of insurance activities. The research findings revealed the specifics of competition between insurance companies in digital sales channels of insurance services, and identified groups of new factors in the competitiveness of insurance programs. The paper describes two models of the policyholder behavior typical for traditional and digital sales channels in the insurance market — classical and digital. It is concluded that the digitalization of the insurance market influences the competition between insurance companies making a shift towards the channel competition and contributing to the emergence of new competition factors for insurance programs developed with digital technologies.

Sign in / Sign up

Export Citation Format

Share Document