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Journal articles on the topic 'Profitability of health insurance'

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1

Surahio, Mahnoor, Preh Bhatti, Vinesh Kumar Kumar, and Rashid Qureshi. "Satisfaction Level of Health Insured and Financial Profitability of Health Insurance Companies from Health Insurance Product." Journal of Public Value and Administration Insights 2, no. 4 (2019): 17–20. http://dx.doi.org/10.31580/jpvai.v2i4.1155.

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The research is focused on finding whether the insurance companies are providing health insurance to their clients are enough to meet their expectations or the employees are bound to pay the premium for availing the employer-based health insurance. Another part of the study is focused on finding the financial profitability of health insurance companies particularly, from the health insurance product they are offering to their clients. The premium these companies charging are enough to generate the profitability of health insurance companies or there is not any significant impact on their profi
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2

Karavar, Neslihan, and Kemal Yaman. "Financial Performance and Bankruptcy Risk Analysis: An Application on Private Health Insurance Companies in Turkey." Journal of Applied And Theoretical Social Sciences 6, no. 1 (2024): 50–73. http://dx.doi.org/10.37241/jatss.2024.103.

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This research evaluates the correlation between the financial performances of seven insurance companies operating in Turkey from 2018 to 2022 and their risk of bankruptcy. In the study, data obtained from the year-end financial statements of the companies were used, weights were assigned to the criteria determined by the ENTROPY methodology, and the performance rankings of the companies were obtained using the WASPAS method. The Altman-Z model was applied to determine the risk of bankruptcy. The decisive criteria in the financial performance ranking are profitability ratios such as Asset Profi
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Fahriati, Andriyani Rahmah. "National Health Insurance, Profitability, and Service Quality: Case Study at the Private Hospital in West Java." ETIKONOMI 17, no. 1 (2018): 153–60. http://dx.doi.org/10.15408/etk.v17i1.7064.

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National health insurance is one of the government programs to facilitate health services for the people. The purpose of this research to determine whether there are effects of National Health Insurance program (JKN) on profitability and service quality at Juanda Kuningan Hospital, of West Java. The method using the paired-t-test to analyze the difference between before and after the National Health Insurance program. The result showed that there is a difference in profitability and service quality between pre and post the implementation of national health insurance program. Gross profit margi
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4

Ramadhani, Anastasia Safa, and Muazaroh Muazaroh. "The Effect of Financial Performance on the Health Level of General Insurance Companies." Almana : Jurnal Manajemen dan Bisnis 7, no. 1 (2023): 56–63. http://dx.doi.org/10.36555/almana.v7i1.2099.

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Insurance is one of the most popular methods of risk transfer. Insurance aims to transfer individual or corporate risk to insurance companies. The purpose of this research is to examine the effect of financial performance on the soundness level of general insurance companies. This research is quantitative research, where quantitative research uses measurement results in the form of numbers and analysis using statistics used to test hypotheses. The population in this study are conventional insurance companies registered with the Financial Services Authority. The sampling technique used purposiv
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Fench, Eugene W. "The Interplay between U.S. Economic Indicators and Insurance Firm Financial Health." Journal of Finance and Accounting 7, no. 6 (2023): 1–10. http://dx.doi.org/10.53819/81018102t4185.

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This study examined the relationship between U.S. economic indicators and the financial health of insurance firms over a decade, from 2010 to 2020. Utilizing a quantitative research approach, data was collected from top insurance companies, juxtaposed against macroeconomic indicators like GDP growth, inflation rate, interest rate, and unemployment rate. Through regression analysis, the study revealed significant correlations between these macroeconomic variables and insurance firms' profitability, solvency, and liquidity metrics. The results indicated that GDP growth was positively correlated
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Lisdiyanti, Vika, Suripto Suripto, and Supriyanto Supriyanto. "The IMPLEMENTASI EARLY WARNING SYSTEM DAN RASIO PERUBAHAAN DANA TABARRU TERHADAP TINGKAT KESEHATAN ASURANSI." Jurnal Perspektif Bisnis 4, no. 2 (2022): 113–25. http://dx.doi.org/10.23960/jpb.v4i2.87.

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This study aims to determine the effect of financial ratios in the Early Warning System (EWS) method and the ratio of changes in tabarru funds on the health level of shariah life insurance companies in Indonesia. The independent variables of the study include the profitability ratio which is proxied by the claim expense ratio, the liquidity ratio is proxied by the asset liquidity ratio, the premium stability ratio is proxied by the self-retention ratio and the ratio of changes in tabarru funds, while the dependent variable of the study is the health level of shariah life insurance as measured
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7

Klepikova, O. А., and Z. M. Sokolovska. "The Information and Analytical Model of the Decision-Making Process for the Development of Health Insurance Programs." Business Inform 1, no. 516 (2021): 119–33. http://dx.doi.org/10.32983/2222-4459-2021-1-119-133.

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The article is aimed at studying and automating the stages of decision-making process for the development and implementation of health insurance products using the economic, mathematical, and simulation modeling. When analyzing the scientific works of scholars on the development of health insurance in Ukraine, the main stages of the decision-making process are allocated, the major of them are: the market need for an insurance product in the external environment; clear definition of the company’s tactical and strategic goals; examining the properties and characteristics of the insurance product
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8

Safitri, Estiningtyas Kusuma, and Noven Suprayogi. "Analisis Rasio Kesehatan Keuangan Dana Tabarru' Yang Mempengaruhi Profitabilitas Pada Asuransi Syariah di Indonesia (Periode 2012-2014)." Jurnal Ekonomi Syariah Teori dan Terapan 4, no. 1 (2017): 73. http://dx.doi.org/10.20473/vol4iss20171pp73-88.

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The purpose of this research is to find out the effect of tabarru’ fund financial health towards the profitability in insurance. The method that used in this research is quantitative method and also using secondary data which obtained from financial reports and other reports started from 2012 until the end of 2014. The choosing of sample was done using sampling purposive method and there are 28 Islamic insurances that comply with the specified sample criteria. Analysis technique used is multiple linier regression analysis of panel data. The result are risk based capital that have significant l
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9

Siddik, Md Nur Alam, Md Emran Hosen, Md Firoze Miah, Sajal Kabiraj, Shanmugan Joghee, and Swamynathan Ramakrishnan. "Impacts of Insurers’ Financial Insolvency on Non-Life Insurance Companies’ Profitability: Evidence from Bangladesh." International Journal of Financial Studies 10, no. 3 (2022): 80. http://dx.doi.org/10.3390/ijfs10030080.

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A stable and healthy insurance industry plays a vital role in sustaining an economy resistant to economic shocks by providing an efficient risk-transition mechanism. There is a relative scarcity of research inspecting the impact of insurers’ financial insolvency on the profitability of insurance firms. Employing 2011–2019 panel data of 16 non-life insurance companies operating in Bangladesh, this research endeavors to examine the impacts of insurers’ financial insolvency on the profitability of insurance companies measured by return ratios, return on assets (ROA), and return on equity (ROE). F
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van Kleef, Richard C., Frank Eijkenaar, and René C. J. A. van Vliet. "Selection Incentives for Health Insurers in the Presence of Sophisticated Risk Adjustment." Medical Care Research and Review 77, no. 6 (2019): 584–95. http://dx.doi.org/10.1177/1077558719825982.

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This article analyzes selection incentives for insurers in the Dutch basic health insurance market, which operates with community-rated premiums and sophisticated risk adjustment. Selection incentives result from the interplay of three market characteristics: possible actions by insurers, consumer response to these actions, and predictable variation in profitability of insurance contracts. After a qualitative analysis of the first two characteristics our primary objective is to identify the third. Using a combination of claims data ( N = 16.8 million) and survey information ( N = 387,195), we
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Marlina, Reni. "DETERMINANTS OF PROFITABILITY OF INSURANCE COMPANIES IN INDONESIA (CASE STUDY ON AN INSURANCE COMPANY LISTED ON THE INDONESIAN STOCK EXCHANGE)." Advanced International Journal of Banking, Accounting and Finance 6, no. 18 (2024): 01–13. http://dx.doi.org/10.35631/aijbaf.618001.

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Insurance as one of the Non-Bank Financial Industries (IKNB) plays an important role in the economy and must perform well and be healthy. Profitability is one of the most important things to assess the performance of an insurance company. This study aims to determine the determinants of the profitability of insurance listed on the Indonesia Stock Exchange. This research uses multiple linear regression method. The dependent variable is Return On Assets (ROA) and the independent variable is Liquidity, Leverage, Claim Expenses, Premium Income and Company Size. The conclusion is that partially pre
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12

Vincent, Kenny, Mohamad Ikhsan Modjo, and Amelia Limijaya. "The Effect of Corporate Governance Regulation on the Profitability of Insurance Companies in Indonesia." E3S Web of Conferences 426 (2023): 02095. http://dx.doi.org/10.1051/e3sconf/202342602095.

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This study is driven by the growing importance of insurance companies in Indonesia and corporate governance as determinants of their profitability. Corporate governance is crucial in insurance companies as they provide instruments for risk transfers and savings mechanisms and promote investments in an economy. Our research examines the impact of implementing good corporate governance regulation POJK 73/2016 on the profitability of insurance companies in Indonesia. Using samples of all listed Indonesian insurance companies across 200 observations by employing LSDV panel data and 2SLS models, we
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13

Zelie, EnyewMulu, and Fekadu Agmas Wassie. "Examining the Financial Distress Condition and Its Determinant Factors: A Study on Selected Insurance Companies in Ethiopia." World Journal of Education and Humanities 1, no. 1 (2019): p64. http://dx.doi.org/10.22158/wjeh.v1n1p64.

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The financial health status of business firms and the effect of firm characteristics on it are taught to be very important issues in the current business environment. This study empirically examines the financial distress condition and its firm specific determinant factors (Profitability, Liquidity, Efficiency, Leverage and firm size) in the Ethiopian insurance industry. The study is based on a ten year panel data ranging from 2007 to 2016 GC obtained from a sample of nine insurance companies. The study employed the Altman’s Z”-score model to test the financial health condition of the sampled
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14

Bohn, James G., Susan Conant, Nicholas L. Desouter, Dani L. Long, and Robert MacGrogan. "Managing for Solvency and Profitability in Life and Health Insurance Companies." Journal of Risk and Insurance 65, no. 2 (1998): 352. http://dx.doi.org/10.2307/253546.

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15

Pramestika, Dian Wury. "PENGARUH TINGKAT KESEHATAN PERUSAHAAN ASURANSI TERHADAP PERTUMBUHAN PREMI NETO DAN PROFITABILITAS PERUSAHAAN." Journal of Economics Development Issues 2, no. 01 (2019): 26–37. http://dx.doi.org/10.33005/jedi.v2i01.24.

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This research aimed to indentify and analyze the influence of the health level of insurance company to net premium growth and insurance company’s profitability. There were three variables used in this research: Risk Based Capital (RBC) ratio as the indicator of health level in insurance company, net premium growth, and company’s profitability which is measured by ROE and ROA ratio. Using the secondary data which was collected from annual financial reporting of 10 insurance companies that had been listed in IDX for 5 periods, 2012-2016. The method used to analyze data was by using simple linear
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16

Pluzhnik, A. B. "Improving Features of Sales of Health Insurance Products." Management Sciences 13, no. 3 (2023): 108–18. http://dx.doi.org/10.26794/2304-022x-2023-13-3-108-118.

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Insurance protection of the population is of particular paramount importance during pandemics, economic transformation and other complex processes in the life of society. The paper examines the state of the insurance market during the peak of the COVID-19 pandemic, as well as the main trends in its development during 2022. The purpose of the study is to improve measures for the sale of health insurance products in order to increase the profitability of insurers’ operations. In difficult and challenging economic conditions, a comprehensive marketing program will help insurance companies to cont
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17

Sachan, Akriti, and Sunita Srivastava. "Financial Performance Evaluation of Indian General and Standalone Health Insurance Companies: A Grey Relational Analysis Approach." RESEARCH REVIEW International Journal of Multidisciplinary 8, no. 8 (2023): 164–76. http://dx.doi.org/10.31305/rrijm.2023.v08.n08.028.

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Grey Relational Analysis (GRA) is adopted in various disciplines and research areas. It turned out to be an effective and practical real-world application. The objective of this study is to evaluate the financial performance of 23 Indian general insurance companies (GICs) and 4 standalone health insurance companies (SHICs) for the years from 2019-2020 to 2021-2022 using GRA proposed by Deng (1982). It incorporates the negative values in the analysis. The results rank the GICs and SHICs according to their financial performance. Among the GICs, Shriram insurance stands first with higher grey rel
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18

Jeena, Jiji, Balraj Praveen, and Michael Almeida Dr.Shaeril. "Evolution of Health Insurance in India Over a Decapod." Applied Science and Engineering Journal for Advanced Research 3, no. 2 (2024): 72–74. https://doi.org/10.5281/zenodo.10976630.

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Health insurance has seen a rapid growth in the Indian market over the last decade. The number of health insurance companies operating in India has increased from around 20 in 2014 to over 50 in 2023. Covid-19 pandemic has led to the integration of telemedicine into health insurance policies. Digitalization has played a major role in the evolution of the industry. On the one hand, it led to an increase in demand for health insurance products and higher premiums. On the other hand, it also led to an increase in claims and a greater emphasis on preventive care and mental health coverage.  P
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19

G, KEERTHIKA, and Dr REVATHY S. "FINANCIAL PERFORMANCE ANALYSIS OF LIFE INSURANCE CORPORATION AND SBI LIFE INSURANCE." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02675.

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This study conducts a comprehensive financial performance analysis of Life Insurance Corporation (LIC) and SBI Life Insurance, two prominent players in the Indian insurance sector. The analysis evaluates their financial stability, profitability, and efficiency using financial statements, ratios, and key performance indicators. The study aims to provide insights into their financial health, ability to meet obligations, and long-term growth prospects. The findings will be valuable for stakeholders, including policyholders, investors, and regulators, in understanding the companies' financial perf
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20

Tammana, Praveen Kumar. "The Complexity of Insurance Underwriting Results Through Artificial Intelligence Navigation." Journal of Research in Science and Engineering 7, no. 2 (2025): 39–46. https://doi.org/10.53469/jrse.2025.07(02).08.

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Insurance underwriting is the backbone of the insurance industry. It's the method through which insurers assess risk and determine the viability of insurance policies. The results of underwriting dictate the financial health and success of insurance companies. In this article, we will explore into the intricacies of underwriting results and how they shape the landscape of the insurance business. Understanding Underwriting Results: Underwriting results are calculated by subtracting incurred losses and underwriting expenses from the earned premium. In essence, it's the profit generated from unde
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21

Přečková, Lenka, and Eva Vávrová. "Evaluation of the impact of the COVID-19 pandemic on the financial health of commercial insurance companies in the Czech Republic." Research Papers in Economics and Finance 8, no. 2 (2024): 78–90. https://doi.org/10.18559/ref.2024.2.1188.

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This article focuses on assessing the impact of the COVID-19 pandemic on the insurance operations of commercial insurance companies in the Czech Republic. The aim of the article is to determine the impact of the pandemic on the financial health of commercial insurance companies in the Czech Republic. In order to achieve this, ratio indicators suitable for measuring the financial health of commercial insurance companies, such as the growth rate of premium income, cost-effectiveness, profitability or solvency, have been employed. Because insurance activities in non-life and life insurance differ
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22

Wu, Mantong. "Financial Analysis and Investment Recommendations of Four Major Health Insurance Companies." Advances in Economics, Management and Political Sciences 185, no. 1 (2025): 1–6. https://doi.org/10.54254/2754-1169/2025.lh23289.

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Under the background of intensifying competition in the health insurance industry, it is of great significance to analyze the financial status and development potential of enterprises for investors to make decisions. This paper takes the four major American Health insurance companies (UnitedHealth Group, Centene Corporation, Elevance Health Corporation and Cigna Group) as the research object. The purpose of financial index analysis (profitability, growth ability, valuation level) is to evaluate the competitive potential of enterprises and provide basis for investment decisions. CI achieves hig
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Maria, Rismaria Lima Silva Camargo. "AMERICAN INSURANCE LANDSCAPE." Revistaft 27, no. 123 (2023): 43. https://doi.org/10.5281/zenodo.11226743.

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This paper examines the impact of rising inflation and interest rates on insurance agencies in the United States, focusing on life, health, and auto insurance sectors. The surge in inflation levels, particularly following Russia's invasion of Ukraine, has prompted significant economic repercussions, prompting the Federal Reserve to implement interest rate hikes to curb inflationary pressures. These macroeconomic shifts have multifaceted effects on insurance agencies, influencing investment income, policy pricing, and coverage costs. In the life insurance sector, higher interest rates can boost
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Saxena, Paridhi, Abhishek Seth, Gangesh Chawla, and Ranganath Singari. "Comparison of Machine Learning Algorithms for Processing of Health Insurance Claim." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 5, no. 2 (2020): 01–19. http://dx.doi.org/10.35121/ijapie202004241.

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The health insurance industry protects against financial losses resulting from various health conditions. Since a long, it has relied on statistics and data to calculate risks and thereby, centre attention more profoundly on a particular target audience for increasing the operational efficiency of the industry. Technologies like Machine Learning and Artificial Intelligence prove to be an efficient tool for enabling insurance companies to predict the Customer Lifetime Value (CLV). This can be done using customer lifestyle behaviour data allowing to assess the customer's potential profitability
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Bressan, Silvia, and Sabrina Du. "The Effect of Environmental Damage Costs on the Performance of Insurance Companies." Sustainability 16, no. 19 (2024): 8389. http://dx.doi.org/10.3390/su16198389.

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We examine worldwide Property and Casualty and Life and Health insurance companies from 2004 until 2023, implementing panel regression models and mediation analyses to show that insurers raise their reserves when they face increasing costs for their potential environmental damages, ultimately reducing their profitability and underwriting capacity. Our findings extend to the insurance sector the previous evidence on banks, demonstrating that environmental damages could affect profits and solvency of financial intermediaries. These insights are important especially for insurance managers and reg
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Bau, Yoon-Teck, and Shuhail Azri Md Hanif. "Comparative Analysis of Machine Learning Algorithms for Health Insurance Pricing." JOIV : International Journal on Informatics Visualization 8, no. 1 (2024): 481. http://dx.doi.org/10.62527/joiv.8.1.2282.

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Insurance is an effective way to guard against potential loss. Risk management is primarily employed to protect against the risk of a financial loss. Risk and uncertainty are inevitable parts of life, and the pace of life has led to a rise in these risks and uncertainties. Health insurance pricing has emerged as one of the essential fields of this study following the coronavirus pandemic. The anticipated outcomes from this study will be applied to guarantee that an insurance company's goal for its health insurance packages is within the range of profitability so that the insurance company will
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Zhou, Lianlian, Anshui Li, and Jue Lu. "Optimizing Moral Hazard Management in Health Insurance Through Mathematical Modeling of Quasi-Arbitrage." Risks 13, no. 5 (2025): 84. https://doi.org/10.3390/risks13050084.

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Moral hazard in health insurance arises when insured individuals are incentivized to over-utilize healthcare services, especially when they face low out-of-pocket costs. While existing literature primarily addresses moral hazard through qualitative studies, this paper introduces a quantitative approach by developing a mathematical model based on quasi-arbitrage conditions. The model optimizes health insurance design, focusing on the transition from Low-Deductible Health Plans (LDHPs) to High-Deductible Health Plans (HDHPs), and seeks to mitigate moral hazard by aligning the interests of both i
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28

Kingshuk, Adhikari, and Ghosh Ankita. "Financial Performance of SBI Life Insurance and PNB Met Life Insurance Company: A Comparative Assessment." Journal of Emerging Technologies and Innovative Research 5, no. 3 (2018): 88–90. https://doi.org/10.5281/zenodo.8225995.

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One of the fundamental changes experienced by the life insurance companies in India is the New Economic Policy Reform. Liberalization, Privatization and Globalization brought significant changes in the economy of the country. Entry barrier has been withdrawn as a result private players entered into the market in huge number thereby eroding the market share of all the companies in operation. The Insurance Regulatory and Development Authority (IRDA) was set up as a regulatory and monitoring body to overview the tasks of the insurance companies. Since then numerous private companies in the Indian
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Kumar, Rohit, and Aditya Duggirala. "Health Insurance as a Healthcare Financing Mechanism in India: Key Strategic Insights and a Business Model Perspective." Vikalpa: The Journal for Decision Makers 46, no. 2 (2021): 112–28. http://dx.doi.org/10.1177/02560909211027089.

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This study provides strategic insights and a business model perspective on health insurance as a vehicle for financing healthcare. It uses both primary (expert interview) and secondary data to investigate the overall disease burden and healthcare industry trends and track healthcare financing through the health insurance mechanism in India. To identify the critical success factors and to gain a business model perspective within the health insurance industry, telephonic and face-to-face interviews were held with 27 experts in the healthcare, insurance, and strategic management field. The study’
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30

Vishnupriya, S. Devarajulu. "Employing Artificial Intelligence & Machine Learning Algorithms for Risk Assessment and Fraud Detection in Health Insurance." European Journal of Advances in Engineering and Technology 10, no. 4 (2023): 82–85. https://doi.org/10.5281/zenodo.13789926.

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The ability to perform risk assessment and fraud detection plays an important role as they directly affect the efficiency and profitability for any health insurance industry. Artificial Intelligence & Machine Learning Technologies are evolving at a rapid pace and helping Industries in various sectors advance significantly. In this paper, we delve into how AI & ML algorithms and techniques help perform risk assessment and fraud detection and how they address the challenges faced by the Health Insurance Industry with the traditional approach along with how we can improve accuracy, effici
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31

Cecil, William. "The Private Health Insurance Underwriting Cycle, Economic Profits and Their Determinants." International Journal of Health Economics and Policy 9, no. 3 (2024): 71–79. http://dx.doi.org/10.11648/j.hep.20240903.12.

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The underwriting cycle in private health insurance refers to fluctuations in profit margin over time. This research, a novel effort, aims to understand the peak-to-trough magnitudes and determinants of the industry-wide underwriting cycle. Historical industry-wide profits and losses have not been previously estimated, making this study a significant contribution to the field. Based on the reports of the Centers for Medicare and Medicaid Services (national health expenditures reports), this study begins by constructing the underwriting cycle of private health insurance performance over the last
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Aprilia, Riska, A. Jajang W. Mahri, and Aneu Cakhyaneu. "Efficiency of Sharia Life Insurance in Indonesia and Malaysia: The Effect of Profitability and Firm Size." Indonesian Journal of Economics and Management 3, no. 1 (2022): 1–16. http://dx.doi.org/10.35313/ijem.v3i1.4642.

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The performance of sharia life insurance in Indonesia and Malaysia has increased and decreased, the declining performance of sharia life insurance causes low income, indicating inefficiency. Inefficiency has adverse effects that will hinder the firm's growth. The purpose of this study is to measure the technical efficiency value of 24 sharia life insurance companies and analyze the effect of profitability level and firm size on the level of sharia life insurance efficiency in Indonesia and Malaysia. The methods used in this study are descriptive and quantitative with causality design. In this
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33

Xuanyuan, Shihao, Shiang Xuanyuan, and Ye Yue. "Application of C4.5 Algorithm in Insurance and Financial Services Using Data Mining Methods." Mobile Information Systems 2022 (August 23, 2022): 1–8. http://dx.doi.org/10.1155/2022/5670784.

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The insurance financial management information system has accumulated a large amount of data as the insurance financial system has improved and the number of people investing in insurance has increased rapidly. The performance of the insurance agency significantly contributes to the industry’s growth, which leads to economic prosperity. Different financial ratios were developed to investigate it, taking into consideration the insurance provider’s stability, insolvency, profitability, and leverage. The profitability of organizations and insurers is used to evaluate the general effectiveness. In
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34

KAMAAL, MOHD. "In-Depth Financial Statement Review of IDBI Federal Life Insurance in New Delhi: A Comprehensive Analysis." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32800.

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The research paper delves into the financial statement analysis of IDBI Federal Life Insurance, aiming to conduct a thorough examination of its financial standing. It will encompass an extensive review of the company's financial statements, key ratios, capital structure, profitability, liquidity, and solvency. Moreover, the study will compare the company's financial performance with that of its peers in the life insurance sector to pinpoint strengths and weaknesses. Recommendations for improvement will be proposed based on these findings. Additionally, the research will evaluate the influence
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ALAM, ANAS. "Analysis of IDBI Federal Life Insurance's Financial Performance and Statements in NCR: An In-Depth Review." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32798.

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The research paper delves into the financial statement analysis of IDBI Federal Life Insurance, aiming to conduct a thorough examination of its financial standing. It will encompass an extensive review of the company's financial statements, key ratios, capital structure, profitability, liquidity, and solvency. Moreover, the study will compare the company's financial performance with that of its peers in the life insurance sector to pinpoint strengths and weaknesses. Recommendations for improvement will be proposed based on these findings. Additionally, the research will evaluate the influence
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36

Gaurav, Kumar Sinha. "Developing a Data Analytics Framework for Identifying and Preventing Fraudulent Claims in Health Insurance." Journal of Scientific and Engineering Research 5, no. 10 (2018): 316–28. https://doi.org/10.5281/zenodo.11211539.

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Health insurance fraud poses significant financial and operational challenges to insurance providers, impacting both their profitability and the quality of healthcare services. In response, this study presents a comprehensive data analytics framework designed to identify and prevent fraudulent claims within the health insurance sector. Leveraging advanced data analysis techniques, machine learning algorithms, and anomaly detection methods, the framework aims to enhance fraud detection accuracy while minimizing false positives. By integrating structured and unstructured data sources, including
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37

Pakhnenko, O., O. Zhuravka, V. Podhorna, and A. Sukhomlyn. "ANALYSIS OF COMPETITIVE POSITIONS OF INSURANCE COMPANIES IN THE NON-LIFE INSURANCE MARKET IN UKRAINE." Vìsnik Sumsʹkogo deržavnogo unìversitetu, no. 2 (2019): 88–94. http://dx.doi.org/10.21272/1817-9215.2019.2-11.

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The paper explores the practical aspects of forming a competitive environment in the non-life insurance market of Ukraine and analyzes the competitiveness and financial performance of leading insurance companies. Based on the analysis of non-life insurance market concentration indicators, the authors concluded that there is no clear leader in this market, the level of market concentration is negligible. Based on the analysis of non-life insurance market leaders by volume of gross insurance premiums in the whole market and by main types of non-life insurance (CASCO, motor vehicle liability insu
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Dendiberya, Maksim, and Olga Tishutina. "Tortious risk in the system of insurance relations in the Russian Federation." E3S Web of Conferences 376 (2023): 05032. http://dx.doi.org/10.1051/e3sconf/202337605032.

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The paper deals with the problem of the realisation of tort risks in the system of insurance relations. At the same time, the object of consideration is a part of the tort risk of the underwriter, which is a consequence of the implementation of unfair economic and insurance practises. The purpose of the conducted research is to prove the necessity of managing tort risk in insurance to achieve the balance of economic (insurance) relations system between the insurant and the underwriter, which stipulates the performance of the risk and compensation insurance function. To achieve the purpose of t
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39

Anshori, Mohamad Yusak, Ira Fasila, and Ninnasi Muttaqiin. "The Effect of Financial Health Level on Increasing Profitability of Insurance Companies Listed on IDX Period of 2014-2018." Petra International Journal of Business Studies 3, no. 2 (2020): 120–25. http://dx.doi.org/10.9744/ijbs.3.2.120-125.

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This study was conducted to examine the effect of financial health level of insurance companies on their increasing profitability. It uses profitability as the dependent variable measured by Return on Assets (ROA) and the independent variable is financial health level measured by Non-Performing Loans (NPL), Loan to Deposit Ratio (LDR), Capital Adequacy Ratio (CAR), Net Interest Margin (NIM), and Operational Efficiency Ratio (BOPO). It is quantitative research in which the sample was taken using a purposive sampling method. It uses secondary data collected from the annual financial reports of i
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Paramita, Putu Winda Agastya, and I. Gusti Ayu Made Asri Dwija Putri. "Intellectual Capital, Leverage dan Profitabilitas Perusahaan Sub-Sektor Asuransi di Bursa Efek Indonesia." E-Jurnal Akuntansi 30, no. 12 (2020): 3110. http://dx.doi.org/10.24843/eja.2020.v30.i12.p09.

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The company's financial performance can be used as a tool to measure the overall level of health of a company. One indicator that is often used to measure a company's financial performance is profitability. Profitability is the level of a company's ability to generate profits and measure operational efficiency and the efficiency of the use of its assets. There are several factors that are thought to affect profitability including intellectual capital and leverage. This study aims to determine the effect of intellectual capital and leverage on company profitability. This research was conducted
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Sutanto, Shelby, Iwan Lesmana, S.Kom, MM, and Meco Sitardja. "THE IMPACT OF CLAIM EXPENSES, UNDERWRITING RISK, PROFITABILITY, COMPANY SIZE AND RETENTION RATIO ON SOLVENCY OF INSURANCE INDUSTRY." INDONESIAN JOURNAL OF ACCOUNTING AND GOVERNANCE 7, no. 2 (2024): 84–96. http://dx.doi.org/10.36766/ijag.v7i2.401.

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The main purpose of this research is to analyze Claim Expenses, Underwriting Risk, Profitability, Company Size, and Retention Ratio on Solvency of Insurance Industry. The purpose of this research is to help future investors in choosing the right insurance company. This research was a quantitative descriptive research method. The sample used in this research is secondary data of Insurance Industry on the period from 2015 to 2020. Using SPSS (statistical package for the social sciences), methods of analysis used in this study include tolerance and VIF test, Kolmogorov-Smirnov test, multivariate
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42

Sutanto, Shelby, Iwan Lesmana, Meco Sitardja, and Dheny Bintara. "THE IMPACT OF CLAIM EXPENSES, UNDERWRITING RISK, PROFITABILITY, COMPANY SIZE AND RETENTION RATIO ON SOLVENCY OF INSURANCE INDUSTRY." Indonesian Journal of Accounting and Governance 7, no. 2 (2023): 84–96. https://doi.org/10.36766/r4xd3j64.

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The main purpose of this research is to analyze Claim Expenses, Underwriting Risk, Profitability, Company Size, and Retention Ratio on Solvency of Insurance Industry. The purpose of this research is to help future investors in choosing the right insurance company. This research was a quantitative descriptive research method. The sample used in this research is secondary data of Insurance Industry on the period from 2015 to 2020. Using SPSS (statistical package for the social sciences), methods of analysis used in this study include tolerance and VIF test, Kolmogorov-Smirnov test, multivariate
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43

Bressan, Silvia. "The impact of reinsurance for insurance companies." Risk Governance and Control: Financial Markets and Institutions 8, no. 4 (2018): 22–29. http://dx.doi.org/10.22495/rgcv8i4p3.

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The study provides empirical evidence for the effect of reinsurance on solvency, profitability, and taxes of primary insurers. Our main finding is that primary insurers increasing in the use of reinsurance exhibit lower capital ratios. This impact involves the segments of health insurance, composite insurance, title insurance, and non-life insurance. Our interpretation is that reinsurance and capital can be seen as substitutes for improving solvency. This implies that, by sharing their risk with reinsurers, primary insurers can benefit from a relief on capital. Additional outcomes display an i
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44

Smyshlyaev, Aleksey Viktorovich. "Public-private partnership in the system of compulsory health insurance: features and trends." Spravočnik vrača obŝej praktiki (Journal of Family Medicine), no. 6 (June 5, 2022): 12–21. http://dx.doi.org/10.33920/med-10-2206-02.

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Public-private partnership projects can act as a growth driver for healthcare both at the federal and regional levels. The inclusion of investment projects based on the principles of public-private partnership in the system of compulsory health insurance has a number of features. First of all, it is declarative in nature, and the volume of medical care is distributed by the commission at the regional level. There are discrepancies in the position of the relevant departments on the participation of public-private partnership projects in the system of compulsory health insurance, which brings di
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Researcher. "REINFORCEMENT LEARNING FOR OPTIMIZING HEALTHCARE INSURANCE PREMIUM PRICING." International Journal of Computer Engineering and Technology (IJCET) 15, no. 2 (2024): 192–207. https://doi.org/10.5281/zenodo.14214608.

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The study proposes a Reinforcement Learning-based Q-Learning framework for optimizing healthcare insurance premium pricing, addressing the limitations of traditional static models. Unlike conventional pricing methods, which cannot dynamically adjust to evolving customer behaviors, health conditions, and market trends, the proposed model continuously adapts premium prices using live feedback from the data. By using a state-action-reward paradigm, the model iteratively re-adjusts premiums based on individual health risk profiles, claim histories, lifestyle habits, and demographic information. Ke
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Researcher. "REINFORCEMENT LEARNING FOR OPTIMIZING HEALTHCARE INSURANCE PREMIUM PRICING." International Journal of Computer Engineering and Technology (IJCET) 15, no. 2 (2024): 192–207. https://doi.org/10.5281/zenodo.14598730.

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The study proposes a Reinforcement Learning-based Q-Learning framework for optimizing healthcare insurance premium pricing, addressing the limitations of traditional static models. Unlike conventional pricing methods, which cannot dynamically adjust to evolving customer behaviors, health conditions, and market trends, the proposed model continuously adapts premium prices using live feedback from the data. By using a state-action-reward paradigm, the model iteratively readjusts premiums based on individual health risk profiles, claim histories, lifestyle habits, and demographic information. Key
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47

Kshirsagar, Rohun, Li-Yen Hsu, Charles H. Greenberg, et al. "Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 15127–36. http://dx.doi.org/10.1609/aaai.v35i17.17776.

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Health insurance companies cover half of the United States population through commercial employer-sponsored health plans and pay 1.2 trillion US dollars every year to cover medical expenses for their members. The actuary and underwriter roles at a health insurance company serve to assess which risks to take on and how to price those risks to ensure profitability of the organization. While Bayesian hierarchical models are the current standard in the industry to estimate risk, interest in machine learning as a way to improve upon these existing methods is increasing. Lumiata, a healthcare analyt
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48

Ige-Gbadeyan, Omonike, and Matthys Johannes Swanepoel. "Determinants of operational efficiency on the financial health of non-life insurance companies in South Africa." Insurance Markets and Companies 14, no. 1 (2023): 121–35. http://dx.doi.org/10.21511/ins.14(1).2023.11.

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This study aimed to determine the effect of operational efficiency on financial health of non-life insurance companies in South Africa. Operational efficiency refers to an insurer’s ability to deliver its services while minimizing costs and maximizing profitability. A descriptive research design was used to achieve the objective of this study. The panel data from 2008–2019 used secondary data sourced from S&P Capital Q and Refinitiv Eikon, well-known databases with readily available data. The population of this study focuses on 32 non-life insurance companies with measurable market
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Kim, Ji Man, Changwoo Lee, and Euichul Shin. "A comparative analysis on the publicness of medical services in public health institutions: With an empirical analysis of the national health insurance database." Medicine 102, no. 46 (2023): e35994. http://dx.doi.org/10.1097/md.0000000000035994.

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The purpose of this study is to analyze the publicness of medical services in public and private medical institutions, with a focus on treatment performance using National Health Insurance data. Data from the National Health Insurance Service were used to compare the publicness of medical services in public and private medical institutions. Beta regression analysis was conducted after adjusting for the relevant characteristics to identify the impact on the public treatment performance of medical institutions. The public case rate of public health institutions was higher than that of private me
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Ope Ige-Gbadeyan, Omonike, and Matthys Johannes Swanepoel. "Exploring resilience: The impact of operational efficiency and financial health in South African non-life insurance companies." Insurance Markets and Companies 16, no. 1 (2025): 103–14. https://doi.org/10.21511/ins.16(1).2025.09.

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The South African non-life insurance sector faces persistent challenges, including low investment returns, the need for digital transformation, and underperformance in meeting strategic goals. These issues threaten operational efficiency and financial health, critical factors for resilience in a competitive market. This study investigates the relationship between operational efficiency, financial health, and resilience in 32 South African non-life insurance companies. A descriptive research design was employed, analyzing panel data from 2008 to 2019, a period chosen due to the financial crisis
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