THE GROSS DIRECT PREMIUM INCOME UNDER GENERAL AND HEALTH INSURANCE: A SEGMENT – WISE ANALYSIS OF INDIAN PUBLIC SECTOR INSURERS

Insurance business is broadly classified under the two heads – Life Insurance and General Insurance. Life Insurance Corporation of India (LICI) and General Insurance Corporation of India (GICI) are the key players in the public sector. The Indian insurance market consists of many private players as well. The gross direct premium has been the income sources for the insurance business. This study shall highlight the gross direct premium income specifically under the General and Health insurance business of the Indian public sector insurers.

Corporate Diversification, Ownership, and Solvency in China’s Property-Liability Insurance Companies

Solvency is the premise of the sustainable management of insurance companies. Among factors that affect the solvency of insurance companies, diversification strategy is one that cannot be ignored. To study the impact of diversification on the solvency of property-liability insurance companies and how diversification will influence companies with different ownership, this paper adopts the dynamic panel GMM model and the unbalanced panel data from 2009 to 2015. The analysis is from two dimensions: product diversification and geographic diversification. Empirical study shows that product diversification will increase the solvency of Chinese-funded property-liability insurance companies but reduce the solvency of foreign-funded ones. As for the impact of geographic diversification on solvency, the more geographically diversified the premium income of Chinese-funded property-liability insurance companies are, the lower their solvency will be. However, geographical expansion has no significant solvency-related impact on foreign-funded property-liability insurance companies in China.

Cost stickiness and the firm’s organizational form: evidence from the property-liability insurance sector

We examine the existence of cost stickiness in the German property-liability insurance sector by analyzing if the percentage increase in administrative costs for a rise in premiums is larger than the percentage decrease in administrative costs for an equivalent drop in premiums. In addition, we analyze if sticky cost behavior depends on insurance firms’ organizational form. Using company-level data from German property-liability insurance firms for the years 2001–2017 and regression analyses, we find that administrative costs are sticky in the insurance sector, as administrative costs increase on average 0.82% per 1% increase in premiums but decrease only 0.6% per 1% decrease in premium income. Moreover, we find that stock insurers exhibit lower levels of cost stickiness, indicating better monitoring mechanisms.

General Insurance Subsector Financial Performance in 2020/2021: Does the Covid-19 Pandemic Matter?

This paper is aimed at analyzing the impact of the covid-19 pandemic on the performance of general insurance subsector in Indonesia. Secondary data obtained from the Indonesia Financial Service Authority which include annual growth rate (year on year) of total asset, technical reserve, investment, equity, and net premium income for the periods between April 2019, 2020 and 2021 to March 2019, 2020 and 2021 were used in this study. Using the dependent sample t-test, it is revealed that the impacts of the covid-19 pandemic on the performance of general insurance subsector were varied. The growth rates of the total asset, total investment, and net premium income of general insurance subsector significantly decreased during the covid-19 pandemic. The decline of these variables was influenced by the covid-19 pandemic. In the meantime, the growth rate of technical reserve and equity were not significantly influenced by the covid-19 pandemic. The growth rate of these variables decreases; however, the degree of decreases was not statistically significant. Findings of the study indicate that further study is required to examine in more detail the factors that potentially affect the performance of the general insurance subsector in relation to the covid-19 pandemic.

THE IMPACT OF COVID-19 ON THE INSURANCE INDUSTRY OF BANGLADESH

This study investigates the impact of Covid-19 on the insurance industry of Bangladesh. We utilize a quarterly panel data of top-performing both life and non-life companies for the duration between Q1:2018 to Q1:2021. We depend on the quantitative method to determine the exact scenario implementing through the fixed effect model. The finding explains that the adverse effect of the pandemic is significant on the quarterly premium income, insurance density, and penetration. A robustness test further justifies the validity of the findings. We discuss the causes behind decline to portraits real scenario of such harsh impact. The sector demands potential measures that ensure a stable situation.

The relationship between net promoter score and insurers’ profitability: an empirical analysis at the customer level

This paper examines the relationship between customer satisfaction and profitability at the level of the individual customer. In many industries, investigations detect a positive, decreasing relationship between customer satisfaction and firm profitability. The insurance industry has rarely been the object of such investigations. Pooser and Browne (2018) started this discussion by examining U.S. insurers at the firm level. We provide reasons why the positive satisfaction–profitability relationship might be reversed, particularly in the case of the insurance industry. We conduct an array of OLS regressions with customer-level data. Our results reveal a strong positive relationship between customer satisfaction and profitability. The effect is considerably large and also robust when investigating the effect of several customer characteristics on this relationship. We recommend that the increase in profitability is induced by a strong positive correlation between customer satisfaction and premium income, while satisfaction is not associated with the combined ratio.

Estimating Ruin Probability in an Insurance Risk Model with Stochastic Premium Income Based on the CFS Method

This paper considers the estimation of ruin probability in an insurance risk model with stochastic premium income. We first show that the ruin probability can be approximated by the complex Fourier series (CFS) expansion method. Then, we construct a nonparametric estimator of the ruin probability and analyze its convergence. Numerical examples are also provided to show the efficiency of our method when the sample size is finite.

The Effect of Premium Revenue, Underwriting Results, Investment Results, and Risk Based Capital on Income in Insurance Company (Study On Corporate Insurance - The Listed on the Indonesia Stock Exchange)

This research is intended to determine how much influence the premium income, underwriting results, investment results, and risk based capital on the profit of insurance companies (a study of insurance companies listed on the Indonesia Stock Exchange). In this study, the technique to collect the form of financial documentation as the data were taken from 11 insurance companies as samples that listed on the Indonesia Stock Exchange in 2017-2019. The multiple linear regression analysis methods use to analyze the data. The results of this study indicate that premium income, underwriting results, investment returns, and Rased Based Capital have a positive and significant effect on profits in insurance companies registered in Indonesia in 2017-2019. It is hoped that insurance companies registered in Indonesia will be able to maintain the value of premium income, underwriting results, and Rased Based Capital in the company, this is so that insurance companies are able to provide more performance for the progress of the company in the future.

The Influence of Liberalization on Innovation, Performance, and Competition Level of Insurance Industry in Indonesia

This study aims to reveal the impact of liberalization on innovation, performance, and the level of competition for insurance industry players in Indonesia based on insurance data from 2006 to 2018. The research method used is quantitative with the support of panel data. The analysis technique to explain the findings uses an aggregate model and Threshold Regression analysis. Descriptive and econometric research types were chosen to make it easier to explain the findings. From the results of data analysis using three experimental models, it shows three findings. First, in the aggregate, there is a significant negative relationship between liberalization and innovation. In the Threshold Regression model, a negative impact occurs on companies with low premium income, whereas in high premium income companies, the result is positive. This is due to the availability of resources to large companies to optimize the adaptation of liberalization in terms of innovation. Second, higher liberalization can encourage insurance companies to perform more efficiently and increase net premium income. Third, the negative impact of liberalization on competition shows that the higher the deregulation, the lower the game. These findings indicate that in the aggregate, global insurance financial liberalization has had a significant impact on the development of the insurance industry sector in Indonesia. However, liberalization can be different for groups of small companies and groups of large companies. The expected implication is that the government needs to adopt a long-term policy strategy that can encourage the sustainability of insurance companies: both high-income companies and low-premium-income companies. Besides this, it is hoped that insurance companies pay more attention to innovation, significantly improving the quality of human resources as a competitive advantage in facing global competition.