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Relevant bibliographies by topics / Risk (Insurance)

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Academic literature on the topic 'Risk (Insurance)'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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Journal articles on the topic "Risk (Insurance)"

1

Mirjalil, Iskandarov Abdurasul. "AGRICULTURAL RISK INSURANCE." European International Journal of Multidisciplinary Research and Management Studies 02, no. 09 (September 1, 2022): 56–57. http://dx.doi.org/10.55640/eijmrms-02-09-12.

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Agriculture is a sector facing many risks. Agricultural risks have become the object of many scientific studies as a result of their direct impact on the food security of the state and thereby the standard of living of the population. Agricultural risks have their own characteristics. Also, the classification of agricultural risks is specific to industry risks. The article considers two main principles of risk classification and proposes a classification model based on the principle of grouping.

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Mualem, Elinor, and Abraham Zaks. "Risk premiums in life insurance." Insurance Markets and Companies 10, no. 1 (January 31, 2019): 1–8. http://dx.doi.org/10.21511/ins.10(1).2019.01.

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Chi, Yichun, and Ken Seng Tan. "OPTIMAL INCENTIVE-COMPATIBLE INSURANCE WITH BACKGROUND RISK." ASTIN Bulletin 51, no. 2 (March 29, 2021): 661–88. http://dx.doi.org/10.1017/asb.2021.7.

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ABSTRACTIn this paper, the optimal insurance design is studied from the perspective of an insured, who faces an insurable risk and a background risk. For the reduction of ex post moral hazard, alternative insurance contracts are asked to satisfy the principle of indemnity and the incentive-compatible condition. As in the literature, it is assumed that the insurer calculates the insurance premium solely on the basis of the expected indemnity. When the insured has a general mean-variance preference, an explicit form of optimal insurance is derived explicitly. It is found that the stochastic dependence between the background risk and the insurable risk plays a critical role in the insured’s risk transfer decision. In addition, the optimal insurance policy can often change significantly once the incentive-compatible constraint is removed.

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Prokopjeva, Evgenija, Evgeny Tankov, Tatyana Shibaeva, and Elena Perekhozheva. "Behavioral models in insurance risk management." Investment Management and Financial Innovations 18, no. 4 (October 21, 2021): 80–94. http://dx.doi.org/10.21511/imfi.18(4).2021.08.

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Behavioral characteristics attributed to consumers of insurance services are a relevant factor for analyzing the current situation in the insurance market and developing effective strategies for insurers’ actions. In turn, considering these characteristics allows the insurer to be more successful in the highly competitive field, achieving mutual satisfaction in interacting with the customer. This study is aimed to develop cognitive models of the situation (frame) “Insurance”, taking into account the specifics of the Russian insurance market and systemic factors affecting participants’ behavior in the market. In this regard, the study involves systemizing risks at various levels of the economic system, generalizing factors for the motivation of insurance consumers, developing descriptive and economic-mathematical models for the behavior of economic entities in risky situations.The results obtained represent a behavioral model of interactions among insurance market entities, which determines opportunities for efficient and mutually beneficial coordination of their activities. The developed model includes the following elements: structured individual and institutional frames “Insurance”; a professional index of interest in insurance presented in the form of a mathematical model; methodology for governing the relationships among insurance participants in the digital environment.The recommendations enable predictions of the situation in the insurance market and allow most accurately defining the consumer needs in the conditions of market changes.

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Zolotukhin, Aleksei. "Legal nature of business risk insurance." SHS Web of Conferences 50 (2018): 01227. http://dx.doi.org/10.1051/shsconf/20185001227.

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This paper raises the question of the legal nature of business risk insurance. A conclusion is made that the legal understanding of business risk insurance should be built upon the unity of the actual content of this type of insurance and its legal form. The presence of a special subject on the policy holder’s side in business risk insurance determines the features of the object of such type of insurance, which is represented by an entrepreneur’s insurable interests related to one’s business activity. In the legal sense, insurance is a legal relationship and is characterized by a bilateral connection between the insurer and the policyholder that manifests in a unity of their subjective rights and responsibilities. Two aspects of insurance indicate not the existence of two independent notions free from each other: insurance in the economic sense and insurance in the legal sense, but rather demonstrate two aspects of one phenomenon that exist in an inseparable unity. In the course of comparing business risk insurance and liability insurance, the author comes to a conclusion that unlike liability insurance, business risk insurance is connected not with the policyholder’s wrongful behavior but, on the contrary, with the possible dishonesty of their contracting party.

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Chi, Yichun, and Wei Wei. "OPTIMUM INSURANCE CONTRACTS WITH BACKGROUND RISK AND HIGHER-ORDER RISK ATTITUDES." ASTIN Bulletin 48, no. 3 (April 25, 2018): 1025–47. http://dx.doi.org/10.1017/asb.2018.20.

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AbstractIn this paper, we study an optimal insurance problem in the presence of background risk from the perspective of an insured with higher-order risk attitudes. We introduce several useful dependence notions to model positive dependence structures between the insurable risk and background risk. Under these dependence structures, we compare insurance contracts of different forms in higher-order risk attitudes and establish the optimality of stop-loss insurance form. We also explicitly derive the optimal retention level. Finally, we carry out a comparative analysis and investigate how the change in the insured's initial wealth or background risk affects the optimal retention level.

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Habibaty, Diana Mutia, and Ah Azharuddin Lathif. "INSURANCE WAQF PHENOMENCES IN THE INSURABLE INTEREST PERSPECTIVE." Penamas 33, no. 2 (December 31, 2020): 225. http://dx.doi.org/10.31330/penamas.v33i2.409.

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Waqf insurance is a new breakthrough in the field of waqf and sharia insurance. This product collaborates between waqf and insurance products. The insurance waqf product is considered contrary to one of the insurance principles, namely the principle of insurable interest (Insurable Interest Principle). This principle states that the insured party (the insured / insurance participant) must have an interest in the object of insurance (life / object). This principle was born because everyone insures himself / his property because the person / property has the risk of being damaged / lost, whereas if someone chooses to have waqf or not, it does not actually pose any risk. This study uses an empirical approach in which an analysis of the Islamic waqf insurance contract is carried out and compares it with the basic principles of insurance. In addition, interviews were conducted with experts to deepen the study under study. The results of the study state that waqf insurance products in Sharia insurance can be used as part of insurance products by following the provisions of the DSN-MUI fatwa NO.106 / DSN-MUI / X / 2016 concerning Waqf Insurance Benefits and Investment Benefits in Sharia Insurance. By referring to this fatwa, the waqf insurance product has fulfilled the principle of insurable interest by stating that the maximum waqf that can be made on the insurance waqf product is 45%, while the other 55% is returned to the insurance participant or the beneficiary (if the insurance participant dies before the insurance contract is completed. ) as a form of risk mitigation and implementing the principle of insurable interest.

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Cox, Arthur T., A. Frank Thompson, Mark Greene, James Trieschmann, and Sandra Gustavson. "Risk and Insurance." Journal of Risk and Insurance 60, no. 3 (September 1993): 521. http://dx.doi.org/10.2307/253043.

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Scroggins, William A., Mark R. Greene, and James S. Trieschmann. "Risk and Insurance." Journal of Risk and Insurance 57, no. 2 (June 1990): 357. http://dx.doi.org/10.2307/253314.

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Brockett, Patrick L., Harry H. Panjer, and Gordon E. Willmot. "Insurance Risk Models." Journal of Risk and Insurance 61, no. 1 (March 1994): 156. http://dx.doi.org/10.2307/253434.

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Dissertations / Theses on the topic "Risk (Insurance)"

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Kang, Yu. "Risk, ambiguity, and insurance /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Matevosyan, Hasmik <1993&gt. "Risk Prediction in Automobile Insurance." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/13433.

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The relationship between individual risks and the number of claims in automobile insurance has received growing attention over recent years among industry practitioners. The number of people who purchase cars grows exponentially. Risk managers of insurance companies need to deal with a variety of risks concerning vehicles and try to predict them as accurate as possible to avoid losses or to minimize them. For this reason, in this thesis I will examine different risk variables and models for these variables in the car insurance sector. The analyses are done based on the econometric approach. The main problem of the thesis concerns the risk prediction by count data models in the automobile insurance. First, the analysis will be done by Poisson regression model using maximum likelihood estimator. Then the Gamma heterogeneity will be taken into account and the negative-binomial regression model will be discussed. The latter provides a framework for the bonus-malus scheme. The extensions of Poisson regression will also be considered in this thesis. The models will be applied to the real data and the estimation results will be discussed at the end of the thesis.

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Karabey, Ugur. "Risk capital allocation and risk quantification in insurance companies." Thesis, Heriot-Watt University, 2012. http://hdl.handle.net/10399/2566.

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The objective of this thesis is to investigate risk capital allocation methods in detail for both non-life and life insurance business. In non-life insurance business loss models are generally linear with respect to losses of business-lines. However, in life insurance loss models are not generally a linear function of factor risks, i.e. the interest-rate factor, mortality rate factor, etc. In the first part of the thesis, we present the existing allocation methods and discuss their advantages and disadvantages. In a comprehensive simulation study we examine the allocations sensitivity to different allocation methods, different risk measures and different risk models in a non-life insurance business. We also show the possible usage of the Euclidean distance measure and rank correlation coefficients for the comparison of allocation methods. In the second part, we investigate the factor risk contribution theory and examine its application under a life annuity business. We provide two approximations that enable us to apply risk capital allocation methods directly to annuity values in order to measure factor risk contributions. We examine factor risk contributions for annuities with different terms to maturity and the annuities payable at different times in future. We also analyse the factor risk contributions under the extreme scenarios for the factor risks.

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Gong, Qi. "Gerber-Shiu function in threshold insurance risk models." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40987966.

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Schreiber, Irene. "Risk-minimization for life insurance liabilities." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-153192.

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蕭德權 and Tak-kuen Siu. "Risk measures in finance and insurance." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31242297.

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Apere, Pius Oyabramo. "Modelling life insurance new business risk." Thesis, City University London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435038.

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Delaney, J. M. "Education : risk enhancing or insurance mechanism?" Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1558906/.

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In the first chapter, I examine the returns to education for both males and females with a particular focus on the effect of wage risk and periods of non-employment. I also account for selection in to the labour market using a Heckman selection equation and decompose earnings in to permanent and transitory components in an effort to understand the components of wage risk. My results suggest that failure to account for periods of non-employment, wage risk and selection in to the labour market when calculating returns to education leads to biased estimates. In the second chapter, along with my co-author, Paul Devereux, we look at the causal effect of education on earnings uncertainty and volatility and the effect of education on sheltering workers from the adverse effects of recessions. We use the 1973 change in compulsory schooling law to provide exogenous variation in education. Our regression discontinuity estimates suggest that men whose education was increased by the law subsequently had lower earnings volatility, less pro-cyclical earnings, and were less likely to experience real pay cuts. In the third chapter, I analyse the role of risk, family background, cognitive and noncognitive skills in determining college attendance. I use a structural life cycle model explicitly capturing the decision to go to college and incorporating important features which impact the returns to college such as savings, labour supply, human capital accumulation and depreciation, wage risk and employment risk. It is estimated that grants, parental background, non-cognitive skills and risk significantly impact the decision to go to college. However, the biggest factor in determining college attendance is cognitive skills. This is driven both by differences in returns to college conditional on cognitive skills and by the larger psychic costs faced by those with low cognitive skills.

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Bash-Taqi, A. Bubakarr. "Risk and insurance in rural Africa." Thesis, University of Sussex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496868.

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It is widely asserted that rural households In developing countries - including Ethiopia - are plagued by a plethora of shocks, which subsequently leads to significant risks to income and consumption. On the other hand, it is also conjectured that in the presence of these shocks and risks, households have access to a variety of formal and Informal mechanisms for dealing with these events as and when they occur. The existence of these mechanisms, It Is argued, explains why consumption does not exactly co-move with income. In other words, there are smaller consumption fluctuations than those that have been observed in income. Indeed, if this is the case, then it is plausible to assert that rural households possess consumption insurance against the relevant shocks.

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Siu, Tak-kuen. "Risk measures in finance and insurance." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B2323426X.

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Books on the topic "Risk (Insurance)"

1

Greene, Mark Richard. Risk & insurance. 8th ed. Cincinnati, Ohio: College Division, South-Western Pub. Co., 1992.

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S, Trieschmann James, ed. Risk & insurance. 7th ed. Cincinnati: South-Western Pub. Co., 1988.

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Asmussen, Søren, and Mogens Steffensen. Risk and Insurance. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35176-2.

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Travis, Pritchett S., and Schmit Joan T, eds. Risk and insurance. 6th ed. St. Paul: West Pub. Co., 1989.

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1957-, Willmot G. E., ed. Insurance risk models. Schaumburg, Ill: Society of Acturaries, 1992.

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Dickson, G. C. A. Risk and insurance. London: Chartered Insurance Institute, 1999.

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Library of Congress. Congressional Research Service, ed. All-risk insurance. [Washington, D.C.]: Congressional Research Service, Library of Congress, 1992.

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Library of Congress. Congressional Research Service, ed. All-risk insurance. [Washington, D.C.]: Congressional Research Service, Library of Congress, 1992.

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Dickson, G. C. A. Risk and insurance. Sevenoaks: Chartered Insurance Institute, Distance Learning Division, 1995.

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G, Gustavson Sandra, ed. Risk management & insurance. Cincinnati, Ohio: South-Western, 1998.

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Book chapters on the topic "Risk (Insurance)"

1

Jensen, Jesper Lyng, and Susanne Sublett. "Insurance." In Redefining Risk & Return, 71–94. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-41369-3_7.

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Weidinger, R. A. Patrick. "Insurance Problems." In Risk Management in Medicine, 129–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-47407-5_18.

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Denuit, Michel, Donatien Hainaut, and Julien Trufin. "Insurance Risk Classification." In Springer Actuarial, 3–26. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25820-7_1.

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Kurshan, Robert P. "Insurance Mediates Risk." In Investment Industry Claims Debunked, 147–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76709-9_7.

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Ahmed, Maram. "Disaster Risk Insurance." In Palgrave Studies in Impact Finance, 175–211. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83209-4_7.

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Vargas, Carlos. "Insurance and risk." In Sustainable Finance Fundamentals, 91–99. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003274735-10.

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Lee, Hongmu. "Insurance-Linked Security Types." In Risk Management, 169–82. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3468-0_13.

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Lee, Hongmu. "Derivatives and Insurance Derivatives." In Risk Management, 183–95. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3468-0_14.

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Jaeger, Axel-Volkmar, and Götz-Sebastian Hök. "Risk, Insurance and Exceptional Risk." In FIDIC - A Guide for Practitioners, 335–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02100-8_19.

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Zweifel, Peter, Roland Eisen, and David L. Eckles. "Risk: Measurement, Perception, and Management." In Insurance Economics, 27–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80390-2_2.

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Conference papers on the topic "Risk (Insurance)"

1

Nastase, Adriana. "Calculation models of net risk premiums for RCA insurance contracts." In International Scientific-Practical Conference "Economic growth in the conditions of globalization". National Institute for Economic Research, 2023. http://dx.doi.org/10.36004/nier.cecg.iii.2023.17.34.

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Starting from the fundamental role of insurance, that of providing protection by the insurer to the person interested in concluding an insurance contract (the insured) in exchange for the insurance premium (insurance price), advanced mathematical models have been developed for the appropriate determination of the insurance price. In Romania, RCA insurance is one of the most regulated insurances due to the importance it occupies from the point of view of the volume of gross premiums subscribed. In the total of gross premiums written in Romania, both general and life insurance, RCA insurance holds on average in the period 2014-2022 approximately 47.5%, hence the motivation for this research topic in order to establish the most appropriate premium for the insured RCA portfolio. In the case of non-life insurance, the estimation of the pure insurance premium is carried out with the help of generalized linear models (GLM). The segmentation of the insured portfolio into homogeneous risk classes is more than necessary for choosing the optimal explanatory variables, which reproduce the behavior of the response variable as accurately as possible.

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Lopatin, Artur Dmitrievich. "Mortgagor default risk insurance." In III International applied research conference. TSNS Interaktiv Plus, 2016. http://dx.doi.org/10.21661/r-113734.

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Ranaldi, Valentina, and Jelena Kostić. "Risk management in insurance vs discrimination." In Prouzrokovanje štete, naknada štete i osiguranje. Institut za uporedno pravo, Udruženje za odštetno pravo, Pravosudna akademija, 2023. http://dx.doi.org/10.56461/zr_23.ons.22.

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Risk management in insurance companies is a very important component of coroporate governance. Based on a timely, accurate and adequate assessment of risks, it’s possible to take the necessary measures to reduce them or eliminate the possibility of their realization, with the aim of preventing the solvency of the insurance company and its efficient operation. A reasonable risk assessment, taking into account all relevant criteria, is an important requirement from the Solvency II Directive, with which it’s necessary to further harmonize regulations at the national level. Risk management involves identification, assessment, proposing measures to reduce and eliminate risks and reporting to competent aurhorities on the measures taken. When assessing risk reduction measures in insurance/reinsurance companies, not only internal acts and regulations from the field of insurance, but also general acts that aren’t from that area should be taken into account. A special problem in the field of insurance is the application of discriminatory criteria with reference to statistical data when determining the conditions or insurance premim rates. However, such behaviour is a violation of the prohibition of discrimination, which is stipulated in both international and national regulations. In this paper, we first point out the importance of the risk management function and the compliance of national regulations in that part with the Solvency II Directive, and then we analyze cases of discrimination in the field of insurance in order to provide recommendations for possibly overcoming such situations at the level of insurance/reinsurance companies, bearing in mind that exclusion of a certain group from insurance solely on the basis of its personal characteristics is an act contrary to the Constitution and the Law on Prohibition of Discrimination.

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Mao, H., K. M. Ostaszewski, and Y. L. Wang. "Pricing annuity insurance integrating mortality improvement risk, interest rate risk, insolvency risk and insurance demand." In 2011 IEEE MTT-S International Microwave Workshop Series on Innovative Wireless Power Transmission: Technologies, Systems, and Applications (IMWS 2011). IEEE, 2011. http://dx.doi.org/10.1109/imws.2011.6115240.

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Mao, H., K. M. Ostaszewski, and Y. L. Wang. "Pricing annuity insurance integrating mortality improvement risk, interest rate risk, insolvency risk and insurance demand." In 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2011. http://dx.doi.org/10.1109/ieem.2011.6118008.

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Farkas, Walter, and Alexander Smirnow. "Intrinsic Risk Measures." In Innovations in Insurance, Risk- and Asset Management. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813272569_0007.

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Saka, T. S. "Covid 19: Implication for Insurance, Risk Management and Insurability of Pandemic Risk." In 27th iSTEAMS-ACity-IEEE International Conference. Society for Multidisciplinary and Advanced Research Techniques - Creative Research Publishers, 2021. http://dx.doi.org/10.22624/aims/isteams-2021/v27p21.

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Covid 19: Implication for Insurance, Risk Management and Insurability of Pandemic Risk SAKA, Toyin Shafau Lecturer, Insurance Department Lagos State Polytechnic, School of Management and Business Studies. E-mail: sakysuccess@yahoo.com Phone: +2348076023583 ABSTRACT The incessant fall in the world economy has a result of the COVID–19 epidemic attracted the interest of many researchers. The pandemic brought about a sharp decline in insurance business and economic growth of the nation, this warranted the closure of many businesses and the insurance businesses is not spared. The objective of this paper is to ascertain the effect of Covid 19 on the insurance business and to determine the most efficient risk management strategies that can coup the effect of the Covid 19 pandemic. Both secondary and primary data was used for this study. Regression model was employed to test the hypotheses raised in this paper. This paper revealed that Covid 19 has significant negative effect on the business operation of insurance businesses in Nigeria. Arisen from the analysis of the study, the paper recommended that: insurance industry should employ effective risk management strategy; there is urgent need for insurance industries to re-strategies their business operation by introducing new products and services; and insurance companies should introduce attractive prices through price reduction and engage fully the e-marketing system. Keyword: COVID – 19 pandemics, Insurance, Risk Management, Insurability

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Yang, Hailiang. "Risk: From Insurance to Finance." In Proceedings of the International Conference on Mathematical Finance. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799579_0019.

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Braun, H., and Lo Lei Lai. "Insurance issues for energy risk." In 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1709025.

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Mal'ceva, T. V., and T. V. Konoplyannikova. "Features of commercial risk insurance." In Scientific Trends: Law. ЦНК МОАН, 2019. http://dx.doi.org/10.18411/spc-20-12-2019-01.

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Reports on the topic "Risk (Insurance)"

1

Brown, Jeffrey, Randall Kroszner, and Brian Jenn. Federal Terrorism Risk Insurance. Cambridge, MA: National Bureau of Economic Research, October 2002. http://dx.doi.org/10.3386/w9271.

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Fauntleroy, J. C., Ryan R. Wagner, and Laura A. Odell. Cyber Insurance - Managing Cyber Risk. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ada623798.

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Koijen, Ralph, and Motohiro Yogo. The Fragility of Market Risk Insurance. Cambridge, MA: National Bureau of Economic Research, January 2018. http://dx.doi.org/10.3386/w24182.

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Mills, Evan. Risk transfer via energy savings insurance. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/789175.

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Sinn, Hans-Werner. Social Insurance, Incentives, and Risk Taking. Cambridge, MA: National Bureau of Economic Research, November 1995. http://dx.doi.org/10.3386/w5335.

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Smith, V. Kerry, and Ben Whitmore. Amenities, Risk, and Flood Insurance Reform. Cambridge, MA: National Bureau of Economic Research, February 2019. http://dx.doi.org/10.3386/w25580.

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Jaspersen, Johannes, Marc Ragin, and Justin Sydnor. Predicting Insurance Demand from Risk Attitudes. Cambridge, MA: National Bureau of Economic Research, November 2019. http://dx.doi.org/10.3386/w26508.

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Layton, Timothy, Thomas McGuire, and Anna Sinaiko. Risk Corridors and Reinsurance in Health Insurance Marketplaces: Insurance for Insurers. Cambridge, MA: National Bureau of Economic Research, September 2014. http://dx.doi.org/10.3386/w20515.

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Barnes, Kayleigh, Arnab Mukherji, Patrick Mullen, and Neeraj Sood. Financial Risk Protection from Social Health Insurance. Cambridge, MA: National Bureau of Economic Research, September 2016. http://dx.doi.org/10.3386/w22620.

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Busch, Christopher, David Domeij, Fatih Guvenen, and Rocio Madera. Asymmetric Business-Cycle Risk and Social Insurance. Cambridge, MA: National Bureau of Economic Research, May 2018. http://dx.doi.org/10.3386/w24569.

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