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Journal articles on the topic 'Insurance risk management'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Sukach, Olena, and Svitlana Kozlovska. "Insurance Market Risk Management." Modern Economics 25, no. 1 (February 23, 2021): 142–47. http://dx.doi.org/10.31521/modecon.v25(2021)-22.

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Abstract. Introduction. The modern insurance market is characterized by a negative trend of reduction of companies-participants of the market. This situation is associated with a number of factors: crisis phenomena in the economy, a decrease in solvent demand, increased risks, growth of unprofitability of the insurance sector, regulatory work of the state. Рurpose. The main purpose of the study is to analyze the domestic insurance market, to identify modern methods and approaches to risk management in the market. The research methodology is based on modern provisions of statistical and economic analysis, empirical research, as well as methods of expert assessments. Results. The article reveals the risks of insurers taking into account the specifics of their manifestation, as well as the specific features of risk management of insurance companies. The problems of managing risks that affect financial stability in insurance companies in modern conditions are examined in the article. A classification of insurance risks and their impact on insurance companies are prepared. It is shown that today a wide range of techniques for estimating the insurance risks exist. The reference points that should be included in the system of risk management of the insurance organization at the present stage are determined. Conclusions. According to the results of the study, a decrease in insurance companies operating in the market, a decrease in premiums and total assets was noted. The expediency of building an optimal risk management system that affects the financial stability of the insurance business has been determined. The application of an integrated approach to risk management of insurance companies has been substantiated. Keywords: risk; risk management; insurance; insurance market; insurer; government regulation; risk classification; risk management strategy.

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2

Vértesy, László. "Risk Management and Insurance." Gazdaság és Társadalom 2013, no. 1 (2013): 27–42. http://dx.doi.org/10.21637/gt.2013.1.02.

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3

Bland, David E. "Risk management in insurance." Journal of Financial Regulation and Compliance 7, no. 1 (January 1999): 13–16. http://dx.doi.org/10.1108/eb024991.

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4

Butterworth, Mark. "Risk Management and Insurance." Risk Management 5, no. 4 (October 2003): 75–76. http://dx.doi.org/10.1057/palgrave.rm.8240168.

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5

Mishchenko, Svitlana, Svitlana Naumenkova, Volodymyr Mishchenko, and Dmytro Dorofeiev. "Innovation risk management in financial institutions." Investment Management and Financial Innovations 18, no. 1 (February 17, 2021): 190–202. http://dx.doi.org/10.21511/imfi.18(1).2021.16.

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The extensive use of financial technologies and innovations in the provision and utilization of financial products and services causes new risks that require constant attention. The article aims to improve innovation risk management methods to increase the operational stability of financial institutions in Ukraine. By generalizing international practice, the types of innovation risks are classified, and their impact on the activities of financial institutions and consumers is characterized. The attention is drawn to the control strengthening over the impact of operational and regulatory risks, based on important theoretical provisions contained in WBG, BIS, BCBS, and FSB documents. An organizational scheme for the interaction of a financial institution and an IT company is proposed to conclude “smart contracts” based on the use of a cloud service and blockchain technology. The authors propose additional methods of insurance protection and compensation for losses caused by the implementation of risks of using ICT and innovation based on creating the Collective Risk Insurance Fund of financial institutions; offer approaches to the calculation of variable and fixed parts of the contribution to the insurance fund for certain groups of financial institutions. It is concluded that to maintain the proper operational stability of financial institutions in Ukraine, it is necessary to introduce additional collective compensation methods for the risks of innovation and the strengthening of cyber threats.

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6

Jones, Stanley, Donald M. Cohodes, and Barbara Scheil. "The Risks of Ignoring Insurance Risk Management." Health Affairs 13, no. 2 (January 1994): 108–22. http://dx.doi.org/10.1377/hlthaff.13.2.108.

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7

Pikus, Ruslana, Nataliia Prykaziuk, and Mariia Balytska. "Financial sustainability management of the insurance company: case of Ukraine." Investment Management and Financial Innovations 15, no. 4 (November 27, 2018): 219–28. http://dx.doi.org/10.21511/imfi.15(4).2018.18.

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In the current conditions of the Ukrainian economy, which is characterized by crisis phenomena and frequent changes in legislation, the insurance organizations are facing a number of difficulties in maintaining their financial sustainability. Moreover, these processes take place under the increased requirements for solvency of insurers. However, a significant part of domestic insurance companies is financially unstable, which is conditioned not only by the lack of funds, but also by the low level of management. This situation hinders the further development of the insurance market in Ukraine and has a negative impact on all areas of the domestic financial system and prevents it from successful integration into the European financial field. In order to address this problem, it is necessary to distinguish the key groups of risks that affect the financial sustainability of insurance organizations, among which there are the following: insurance, strategic, market risk, risk of inefficient capital structure, risk of limiting the insurance company’s liquidity, tax risk, investment risk, operational risk, the risk of ineffective organizational structure of the enterprise, and information risk. It should be noted that under conditions of changing environment, the impact of these risks only increases, and therefore the task of minimizing the impact of these risks on the activities of insurance companies is highly important. Accordingly, the authors of the article proposed a four-stage strategy to manage the financial sustainability of the insurance company, the purpose of which is to identify the risks of limiting the insurer’s financial sustainability, their qualitative and quantitative assessment, as well as the development and implementation of appropriate measures to minimize and eliminate unacceptable consequences.

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8

Brockett, Patrick L., Samuel H. Cox, and Robert C. Witt. "Insurance versus Self-Insurance: A Risk Management Perspective." Journal of Risk and Insurance 53, no. 2 (June 1986): 242. http://dx.doi.org/10.2307/252374.

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9

Fehrs, Donald H., Glenn Wood, Claude Lilly, Donald Malecki, Edward Graves, and Jerry Rosenbloom. "Personal Risk Management and Insurance." Journal of Risk and Insurance 58, no. 2 (June 1991): 345. http://dx.doi.org/10.2307/253243.

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10

MacMinn, Richard D. "Insurance and Corporate Risk Management." Journal of Risk and Insurance 54, no. 4 (December 1987): 658. http://dx.doi.org/10.2307/253115.

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11

Stahel, Walter R. "Insurance, Risk Management and Culture." Geneva Papers on Risk and Insurance - Issues and Practice 27, no. 2 (April 2002): 268–74. http://dx.doi.org/10.1111/1468-0440.00168.

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12

SALTHOUSE, R. J. W. "Insurance, Risk Improvement and Management." Water and Environment Journal 3, no. 1 (February 1989): 43–49. http://dx.doi.org/10.1111/j.1747-6593.1989.tb01365.x.

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13

Trashchenko, O. L. "INSURANCE AS A METHOD OF RISK MANAGEMENT OF A COMMERCIAL BANK." Economical, no. 2(21) (2019): 22–28. http://dx.doi.org/10.31474/1680-0044-2019-2(21)-22-28.

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14

Kahane, Yehuda. "Insurance and Risk Management of Foreign Trade Risks." Geneva Papers on Risk and Insurance - Issues and Practice 11, no. 4 (October 1986): 274–84. http://dx.doi.org/10.1057/gpp.1986.26.

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15

Zaman, M. Raquibuz. "Some Issues In Risk Management and Insurance In a Non-Muslim State." American Journal of Islam and Society 5, no. 2 (December 1, 1988): 263–73. http://dx.doi.org/10.35632/ajis.v5i2.2717.

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IntroductionThis paper is not intended to be a discourse on whether or not insuranceis permitted under Islam. The subject is controversial and, hence, there areat least five different viewpoints on the subject which are:1. Insurance is permissible (mutbuh).2. Insurance is prohibited (haram).3. Insurance is not permitted in an Islamic state (dar-ul-Islam) .4 . Insurance may be permissible between Muslim policy holdersand non-Muslim insurers in a non-Muslim state whereMuslims have religious freedom and security (dar-ul-amn),and in an enemy state (dar-ul-harb), if required to do so.5 . Insurance provides important social benefits which areotherwise not available at all. However, some features and/orpractices of modem insurance companies are undesirable and,hence, they must be changed before insurance can be permitted. The controversy on insurance is quite understandable. There was no suchinstitution in existence at the time of the Prophet (on him be peace) or the ...

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16

Ozyuksel, Suna, and Murat Gezgin. "Turkish Insurance Companies’ Risk Management Strategies and Structures: A Survey Study." International Journal of Economics and Finance 12, no. 8 (June 20, 2020): 12. http://dx.doi.org/10.5539/ijef.v12n8p12.

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Insurance industry is one of the cornerstones of both the financial system and the economy as it undertakes global risks and minimizes losses. The compensation of major losses by insurance companies means rapid recovery and resumption for investors. The insurance sector is very important for the development of the country's economy as it contributes premium volume and its support to investors as for compensation of the losses. However, the insurance sector faces a great deal of risks. Therefore, it is of importance for insurance companies to have a robust risk management system to constitute a basis for the growth of economy. Risk management enables insurance companies to identify measuring and analyzing risks, safeguard their assets, minimize potential risks and take them under control. The aim of this study is the evaluation of the risks assumed by insurance companies in Turkey and their risk management perspectives to struggle such major risks through a survey. This survey makes an evaluation about how insurance companies’ risk management departments are structured, risks that insurance companies foresee, their strategies to deal with such risks. Among the important findings of the survey; Top 10 risks for insurance companies are: “interest rate and foreign exchange rate fluctuation, political risks, economic slowdown, economic crisis, regulations, cyber-attacks, incompliance with the applicable legislation, increasing competition, digitalization/insurtech, business continuity interruption” and the second finding is Turkish insurance industry’s risk management set-up has a robust structure even though it has a small share in global insurance market and Turkish financial sector.

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17

Chen, Wei, and Yuansheng Jiang. "Application of Markov Model-Based IoT in Agricultural Insurance and Risk Management." Mobile Information Systems 2021 (August 26, 2021): 1–8. http://dx.doi.org/10.1155/2021/8723258.

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As the foundation of the national economy, agriculture is a high-risk, weak industry. Affected by many factors, agricultural production is subject to catastrophe risks from time to time. Agricultural production is mainly faced with two major threats, natural disaster risk and market risk. As an effective risk management tool, the production and promotion of agricultural insurance have played an essential role in guaranteeing the development of the agricultural industry in some developed countries and major agricultural countries in the world. This article combines the Internet of Things and Markov model for agricultural insurance risk management. First, we combine the structure of the Internet of Things and select relevant statistical data. Then, we build a panel data system, starting from two perspectives in different regions and analyze agricultural insurance’s current development and characteristics at each stage. In addition, we use the Markov model to build a panel data model to explore the specific impact mechanisms deeply. We also study the effects of disaster risk levels in different regions on the development of agricultural insurance. After simulation verification, we believe that this model can effectively promote the balanced regional development of agricultural insurance.

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18

Bowers, Helen M., Sandra Gustavson, and Scott Harrington. "Insurance, Risk Management and Public Policy." Journal of Risk and Insurance 61, no. 3 (September 1994): 556. http://dx.doi.org/10.2307/253582.

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19

Gardner, Lisa A., and Joan T. Schmit. "Collegiate Risk Management and Insurance Education." Journal of Risk and Insurance 62, no. 4 (December 1995): 625. http://dx.doi.org/10.2307/253588.

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20

Henebry, Kathleen L., and George E. Rejda. "Principles of Risk Management and Insurance." Journal of Risk and Insurance 62, no. 4 (December 1995): 797. http://dx.doi.org/10.2307/253600.

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21

Weir, Audrey A., and John H. Hampton. "Essentials of Risk Management and Insurance." Journal of Risk and Insurance 62, no. 1 (March 1995): 157. http://dx.doi.org/10.2307/253703.

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22

Ohgi, Yuhji. "Future of Insurance and Risk Management." Hokengakuzasshi (JOURNAL of INSURANCE SCIENCE), no. 600 (2008): 47–63. http://dx.doi.org/10.5609/jsis.2008.600_47.

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23

Uemura, Nobuyasu. "Risk Management in Japan's Insurance Industry." Hokengakuzasshi (JOURNAL of INSURANCE SCIENCE), no. 604 (2009): 61–74. http://dx.doi.org/10.5609/jsis.2009.604_61.

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24

Matusevich, O., O. Matusevych, V. Bobyl, and O. Chornovil. "RAILWAY TRANSPORT RISK MANAGEMENT AND INSURANCE." Financial and credit activity: problems of theory and practice 2, no. 25 (June 29, 2018): 128–38. http://dx.doi.org/10.18371/fcaptp.v2i25.136479.

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25

Diones, William D. "Air medical insurance and risk management." Journal of Air Medical Transport 11, no. 7 (July 1992): 25–27. http://dx.doi.org/10.1016/s1046-9095(05)80394-0.

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26

Puleo, Victor A. "RISK MANAGEMENT AND INSURANCE FACULTY INTERNSHIPS." Risk Management & Insurance Review 2, no. 1 (July 1998): 85–88. http://dx.doi.org/10.1111/j.1540-6296.1998.tb00085.x.

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27

Brawner, Lee B. "Insurance and Risk Management for Libraries." Public Library Quarterly 13, no. 1 (June 17, 1993): 5–15. http://dx.doi.org/10.1300/j118v13n01_02.

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28

Brawner, Lee B. "Insurance and Risk Management for Libraries." Public Library Quarterly 13, no. 2 (August 27, 1993): 29–34. http://dx.doi.org/10.1300/j118v13n02_05.

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29

Tao, Zhengru, Desheng Dash Wu, Zhenlong Zheng, and Xiaxin Tao. "Earthquake Insurance and Earthquake Risk Management." Human and Ecological Risk Assessment: An International Journal 16, no. 3 (May 28, 2010): 524–35. http://dx.doi.org/10.1080/10807031003788634.

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30

Sokic, Miro. "Solvency risk management in insurance company." Poslovna ekonomija 9, no. 1 (2015): 371–98. http://dx.doi.org/10.5937/poseko1501371s.

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31

Nyagadza, Brighton, and Tatenda Nyauswa. "Parametric insurance applicability in Zimbabwe: a disaster risk management perspective from selected practicing companies." Insurance Markets and Companies 10, no. 1 (November 27, 2019): 36–48. http://dx.doi.org/10.21511/ins.10(1).2019.04.

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This study seeks to explore the possibility of adopting parametric insurance to manage disaster risk in Zimbabwe. The background of the research is caused by recurrent natural disasters and the failure of the government to offer disaster relief after such events. The main objective of the research is to come up with the success factors of adopting parametric insurance to manage disaster risk and its effectiveness in African countries. The study population consists of 32 employees from seven reinsurance companies and 5 from a regulatory body. Self-administered questionnaires and interviews were used to collect the data. The study assumes that Zimbabwe does not have sufficient infrastructure to establish parametric insurance, and the lack of financial capacity is another major problem. 61% of respondents confirmed that they were underwriting natural disasters and the remaining 39% were not. The natural disasters that are being covered in insurance market and under which insurance products are used were at 61%. About 39% of the reinsurance companies that are not underwriting natural disasters cited the major reasons why they do not. Most of respondents confirmed that there was no support from the government to underwrite catastrophic risks. 57% of the respondents indicated that it is not possible to adopt parametric insurance, whilst 43% of the respondents agreed that it was practical. Recommendations are made for the government and insurance providers, which include use of catastrophe bonds, government incentives and support, the creation of a clearing house and the involvement of international organizations and developing countries in adopting parametric insurance.

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32

Суворов, Александр, Aleksandr Suvorov, Мария Матанцева, Mariya Matanceva, Евгения Плотникова, and Evgeniya Plotnikova. "Cyber Insurance as a Way of Cyber Risks Management." Safety in Technosphere 7, no. 5 (November 19, 2019): 35–42. http://dx.doi.org/10.12737/article_5d8b1f1205ad35.02378913.

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A review of the cyber insurance domain has been carried out with a description of classical terms from the insurance industry. Have been considered two the most comprehensive today definitions of cyber risk in authors’ opinion. A diagram of processes for cyber risk management using insurance has been presented, and the place of cyber-risk among other company’s risks has been demonstrated, i. e. the context of cyber risk among the risks of any commercial organization has been shown. A typical cyber insurance process has been described, and a scheme of cyber insurance processes has been developed. A brief description of problem areas and controversial issues in cyber insurance, with which cyber-risk insurance practices may face, has been presented, as well as a table showing at which stage of cyber-insurance the specific problems may arise. Has been provided the basic economic utility function, which formalizes decision making for agents with a different attitude to risk. Standards in cyber security, and various software products that can be used as a tool for assessing the security level of an enterprise’s IT infrastructure have been presented, and it has been demonstrated how these products can help in cyber risk assessment. Different methods used at each stage of cyber insurance have been shown.

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33

Ferguson, Tamela D., Mark S. Dorfman, and William L. Ferguson. "Risk Management and Insurance-Related Journals: A Survey of Risk and Insurance Academics." Risk Management Insurance Review 8, no. 1 (March 2005): 65–101. http://dx.doi.org/10.1111/j.1540-6296.2005.00050.x.

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34

Nasyrova, G. A. "RISK-MANAGEMENT IN THE ANTI-CRISIS REGULATION OF INSURANCE INDUSTRY." Strategic decisions and risk management, no. 1 (October 29, 2014): 78–81. http://dx.doi.org/10.17747/2078-8886-2012-1-78-81.

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It is considered risk-management of the insurance company as the element of anti-crisis regulation at the microlevel, realized in anti-crisis management. The program of technical risk management is made with a glance a life-cycle of the insurance company. The presented approach assumes inclusion in the management program of investment, currency, social and other risks of the insurance activity.

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35

Wierzbicka, Ewa. "THE ROLE OF INSURANCE IN ENTERPRISE RISK MANAGEMENT." Zeszyty Naukowe Wyższej Szkoły Humanitas Zarządzanie 18, no. 4 (December 28, 2017): 133–47. http://dx.doi.org/10.5604/01.3001.0010.8286.

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In the last several years, both in the economic practice of the OECD countries and in the development of theoretical thinking, there has been a significant breakthrough in the approach to corporate insurance. Insurance in business management is no longer considered only as a category of finance and accounting for an enterprises , which results from the traditional understanding of this issue. Today’s approach is insufficient to define the role of business risk management. In the traditional approach to insurance, its importance is focused on the recording and analysis of the cost of risk transfer. As a consequence, in practise, many companies and institutions implement the short-term approach to managing the cost of insurance and analyzing the degree of risk coverage, primarily property, relative insurance, relative to the cost of insurance cover.The purpose of this article is to explain how insurance contributes to increasing business security and business turnover, especially in the context of cyberbullying. It is therefore hypothesized that in the turbulent environmental variability and under pressure of changes resulting from technological synergies, the importance of insurance in risk management, especially regulatory risk and technological risk, is growing.

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36

Prykazyuk, Nataliia, and Lesya Bilokin'. "THEORETICAL ORDERING OF THE METHODS AND TOOLS OF FINANCIAL RISK MANAGEMENT OF INSURANCE COMPANIES." Economic Analysis, no. 27(1) (2017): 139–49. http://dx.doi.org/10.35774/econa2017.01.139.

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Essence of methods and tools of financial risk management of insurance companies are defined. It has been founf out that the methods of financial risk management of the insurer can be called a system of techniques in the field of financial risk management. Its use allows to solve a number of tasks to a certain extent. For example, it can allow to foresee the occurrence of risk events in the process activities of insurance companies and identify different ways of their avoidance, minimization, and transfer, and to take measures to reduce the consequences of occurrence of such events to the insurer. It has been defined that the tools of financial risk management of the insurance company are the totality of means. With their help we can make the analysis, control and funding of possible financial risks of the insurer that can arise in the process of implementation of economic activity. The methods and tools of financial risk management are closely connected. The main methods of financial risk management of the insurance company are analyzed. The most common methods of risk management in insurance are risk assessment, risk avoidance, risk reduction, risk acceptance, risk transfer. The instruments of financial risk management of the insurer, in particular, stress testing, early warning tests, Monte-Carlo, VaR-methodology, methods, which are based on calculation of indicators of ES, EVA and RAROC, as well as hedging, diversification, valuation, self-insurance, co-insurance and reinsurance are defined. The necessity to use the methods and tools of financial risk management by insurance companies is defined. It has ben provrd that the insurance company should choose the most appropriate methods and tools for risk management. The company should also take into account all the peculiarities of its activities and will assist in the evaluation and control of existing and prevention of possible risks.

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37

Kokkaew, Nakhon, and Warit Wipulanusat. "Completion delay risk management: A dynamic risk insurance approach." KSCE Journal of Civil Engineering 18, no. 6 (June 20, 2014): 1599–608. http://dx.doi.org/10.1007/s12205-014-1128-4.

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38

Levantesi, Susanna, Andrea Nigri, and Gabriella Piscopo. "Longevity risk management through Machine Learning: state of the art." Insurance Markets and Companies 11, no. 1 (November 25, 2020): 11–20. http://dx.doi.org/10.21511/ins.11(1).2020.02.

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Longevity risk management is an area of the life insurance business where the use of Artificial Intelligence is still underdeveloped. The paper retraces the main results of the recent actuarial literature on the topic to draw attention to the potential of Machine Learning in predicting mortality and consequently improving the longevity risk quantification and management, with practical implication on the pricing of life products with long-term duration and lifelong guaranteed options embedded in pension contracts or health insurance products. The application of AI methodologies to mortality forecasts improves both fitting and forecasting of the models traditionally used. In particular, the paper presents the Classification and the Regression Tree framework and the Neural Network algorithm applied to mortality data. The literature results are discussed, focusing on the forecasting performance of the Machine Learning techniques concerning the classical model. Finally, a reflection on both the great potentials of using Machine Learning in longevity management and its drawbacks is offered.

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39

Ivanovna, Kartashova, Molchanova Vladimirovna, and Axana Turgaeva. "Insurance Risks Management Methodology." Journal of Risk and Financial Management 11, no. 4 (October 30, 2018): 75. http://dx.doi.org/10.3390/jrfm11040075.

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The purposes of the study are to substantiate the influence of the specific features of insurance on the set of management accounting objects and to develop a mechanism of preparing the relevant information for insurance risk management. Management accounting allows generating reports, specially prepared for managers of various levels of control (in contrast to financial accounting, which considers information on the basis of general accounting rules). This allows realizing the main goal of management accounting; that is, providing information support for management decisions aimed at maximizing the organization’s profits. The object of research is management accounting in the information system of an insurance company. The stages in the execution of accounting procedures in a management accounting system are defined in the form of a diagram, the features of insurance affecting the organization of management accounting are classified, and an intracompany ledger of the connection between the segments of activity and responsibility centers is developed for insurance companies.

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40

Hashemi, Seyed Javad, Faisal Khan, and Salim Ahmed. "An Insurance Model for Risk Management of Process Facilities." Risk Analysis 39, no. 3 (August 28, 2018): 713–28. http://dx.doi.org/10.1111/risa.13179.

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41

Hardigree, Don, Alexander T. Wells, and Bruce D. Chadbourne. "Introduction to Aviation Insurance and Risk Management." Journal of Risk and Insurance 61, no. 1 (March 1994): 159. http://dx.doi.org/10.2307/253436.

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42

Hashmi, Sajjad A., Emmett Vaughan, and Theresa Vaughan. "Essentials of Insurance: A Risk Management Perspective." Journal of Risk and Insurance 65, no. 2 (June 1998): 349. http://dx.doi.org/10.2307/253543.

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43

Aketa, Hiroshi. "Risk management in private medical insurance business." Hokengakuzasshi (JOURNAL of INSURANCE SCIENCE), no. 596 (2007): 33–52. http://dx.doi.org/10.5609/jsis.2007.596_33.

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44

Nunez, Louis E., Alexander T. Wells, and Bruce D. Chadbourne. "Introduction to Aviation Insurance and Risk Management." Journal of Risk and Insurance 68, no. 3 (September 2001): 534. http://dx.doi.org/10.2307/2678126.

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45

Borkhalenko, V. A. "Insurance mechanisms in information security risk management." Экономический анализ: теория и практика 16, no. 2 (February 27, 2017): 379–88. http://dx.doi.org/10.24891/ea.16.2.379.

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46

Kirillova, Nadezda. "Insurance and Risk Management Systems in Russia." Economics and Business Review 1 (15), no. 3 (September 2015): 112–20. http://dx.doi.org/10.18559/ebr.2015.3.8.

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47

Scandizzo, Pasquale Lucio. "Securitizing Area Insurance: A Risk Management Approach." Journal of Financial Risk Management 02, no. 03 (2013): 55–60. http://dx.doi.org/10.4236/jfrm.2013.23009.

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48

Cassidy, Steve. "ISSUES IN INSURANCE AND RISK MANAGEMENT EDUCATION." Risk Management and Insurance Review 1, no. 1 (April 27, 2009): 112–15. http://dx.doi.org/10.1111/j.1540-6296.1997.tb00068.x.

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49

Bernard, Carole, and Weidong Tian. "Insurance Market Effects of Risk Management Metrics." Geneva Risk and Insurance Review 35, no. 1 (April 13, 2010): 47–80. http://dx.doi.org/10.1057/grir.2009.2.

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50

Bomhard, Nikolaus von. "Risk and Capital Management in Insurance Companies." Geneva Papers on Risk and Insurance - Issues and Practice 30, no. 1 (January 2005): 52–59. http://dx.doi.org/10.1057/palgrave.gpp.2510008.

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