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1

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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2

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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3

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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4

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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5

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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6

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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7

Brotman, Billie Ann, James L. Athearn, and S. Travis Pritchett. "Risk and Insurance." Journal of Risk and Insurance 52, no. 4 (December 1985): 759. http://dx.doi.org/10.2307/252322.

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8

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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9

Mitchell, John, and Bee Kalsi. "IT Risk Insurance." ITNOW 59, no. 4 (2017): 52–53. http://dx.doi.org/10.1093/itnow/bwx135.

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10

Wattman, Malcolm P., and Kimberly Jones. "Insurance Risk Securitization." Journal of Structured Finance 12, no. 4 (January 31, 2007): 49–54. http://dx.doi.org/10.3905/jsf.12.4.49.

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11

Galvao, Daniel. "Political Risk Insurance." Journal of Structured Finance 7, no. 2 (July 31, 2001): 35–42. http://dx.doi.org/10.3905/jsf.2001.320250.

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12

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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13

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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14

Chang, Yang-Ming, and Isaac Ehrlich. "Insurance, Protection from Risk, and Risk-Bearing." Canadian Journal of Economics 18, no. 3 (August 1985): 574. http://dx.doi.org/10.2307/135020.

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15

Petrolia, D. R., C. E. Landry, and K. H. Coble. "Risk Preferences, Risk Perceptions, and Flood Insurance." Land Economics 89, no. 2 (March 1, 2013): 227–45. http://dx.doi.org/10.3368/le.89.2.227.

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16

Kozmenko, Olga, and Viktor Oliynyk. "Statistical model of risk assessment of insurance company’s functioning." Investment Management and Financial Innovations 12, no. 2-1 (August 7, 2015): 189–94. http://dx.doi.org/10.21511/imfi.12(2-1).2015.01.

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17

Mostert, Jan Hendrik, and Frederik J. Mostert. "Finite risk insurance as a form of alternative risk transfer." Corporate Ownership and Control 6, no. 1-3 (2008): 347–56. http://dx.doi.org/10.22495/cocv6i1c3p2.

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The concept alternative risk transfer relates to the point where insurance, banking and/or the capital market converge in an attempt to efficiently provide enterprises with sufficient financial capacity for protection against a variety of risks. No single all-embracing definition of the concept exists, as these products are tailor-made to the needs of each client. Finite risk insurance represents a category of alternative risk transfer products. Key features and objectives of finite risk insurance receive due attention, after which the focus shifts to the variants and types of contracts concerned. Loss Portfolio Transfers, Adverse Development Coverage, Spread Loss Coverage and Finite Quota Share Reinsurance are identified as the main types of finite risk insurance. The linking of the financial needs of enterprises and insurers to particular finite risk insurance solutions are illustrated in the next two sections. The closing section of this research paper focuses on future prospects of finite risk insurance.
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18

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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19

Schlesinger, Harris, and J. Matthias Graf v. d. Schulenburg. "Risk aversion and the purchase of risky insurance." Journal of Economics 47, no. 3 (September 1987): 309–14. http://dx.doi.org/10.1007/bf01245150.

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20

Rogoziński, Dawid. "Securing Bank Claims by means of Credit Risk Insurance versus Insurance Recourse." Prawo Asekuracyjne 3, no. 100 (September 15, 2019): 47–61. http://dx.doi.org/10.5604/01.3001.0013.5733.

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This article examines the specific nature of the insurance of risks directly related to lending. The dynamic development of cooperation between banking and insurance industries has resulted not only in a greater popularity of the coverages already existing on the market, but also in new types of insurance products directly linked to banking operations and covering risks that were traditionally non-transferable to insurance undertakings. Further comments refer to the functions of insurance recourse in relations with banks. However, the main focus of this study is the confrontation of results of those analyses with the phenomenon of directing recourse claims to the entities carrying the actual and final burden of the insurance cost (borrowers). Moreover, practical solutions adopted by credit institutions which involve the treatment of credit risk insurances as payment protection methods and consequently shift the burden of insurance premium onto the borrower have been assessed.
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21

BOVENBERG, LANS, and THEO NIJMAN. "Personal pensions with risk sharing." Journal of Pension Economics and Finance 16, no. 4 (August 8, 2016): 450–66. http://dx.doi.org/10.1017/s1474747216000123.

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AbstractTo improve the design of the pay-out phase of DC plans, this paper proposes a new approach to structure pension products: the Personal Pension with Risk sharing (PPR). By unbundling and valuing the investment, (dis)saving, insurance and risk-sharing functions of pensions, PPRs allow risk management and (dis)saving to be customized to the specific features of heterogeneous individuals. Unlike variable annuities, PPRs allow investment risks to be combined with longevity insurance without giving rise to high year-on-year volatility in consumption streams or opaque and rigid valuation and smoothing rules. The synthesis of a PPR structure provides new opportunities for product innovation and for the comparison of retirement products.
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22

Hirai, Shota, and Tomohiro Yasuda. "RISK ASSESSMENT OF AGGREGATE LOSS BY STORM SURGE INUNDATION IN ISE AND MIKAWA BAY." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 35. http://dx.doi.org/10.9753/icce.v36.risk.35.

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In the event of disaster, the risk of disaster are intertwined, and there is an occurrence possibility of simultaneous damage in multiple areas. Nationwide companies have more risks of simultaneous damage in multiple areas by one disaster. For example, factories in Osaka and in Nagoya, can be damaged by one typhoon. In this case, company will need more money when damage happened and better to make special insurance contract, e.g. Catastrophe bond. On the other hand, insurance company has to assess amount of insurance payout because to pay it for contracted companies quickly. Insurance company may have difficulty to estimate total amount since there are few researches assessing aggregate loss caused by coastal disasters. This research proposes a procedure of assessment of aggregate loss by storm surges in Ise and Mikawa Bay located in Aichi prefecture, Japan.
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23

PonArul, Richard, and Henri Louberge. "Risk, Information and Insurance." Journal of Risk and Insurance 59, no. 1 (March 1992): 158. http://dx.doi.org/10.2307/253226.

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24

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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25

Chen, Liansheng, and Jinhua Tao. "Mixed Insurance Risk Models." Missouri Journal of Mathematical Sciences 8, no. 1 (February 1996): 3–10. http://dx.doi.org/10.35834/1996/0801003.

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26

Baird, Ian McLean. "Obesity and Insurance Risk." PharmacoEconomics 5, Supplement 1 (1994): 62–65. http://dx.doi.org/10.2165/00019053-199400051-00013.

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27

Sakshi, Vasudeva. "Catastrophic risk and insurance." Management & Avenir 27, no. 7 (2009): 225. http://dx.doi.org/10.3917/mav.027.0225.

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28

MTW and G. Ottaviani. "Financial Risk in Insurance." Journal of the American Statistical Association 94, no. 445 (March 1999): 351. http://dx.doi.org/10.2307/2669731.

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29

Brown, Jeffrey R., Randall S. Kroszner, and Brian H. Jenn. "Federal Terrorism Risk Insurance." National Tax Journal 55, no. 3 (September 2002): 647–57. http://dx.doi.org/10.17310/ntj.2002.3.13.

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30

Frees, Edward. "Insurance Portfolio Risk Retention." North American Actuarial Journal 21, no. 4 (September 26, 2017): 526–51. http://dx.doi.org/10.1080/10920277.2017.1317272.

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31

Dassios, A., and P. Embrechts. "Martingales and insurance risk." Communications in Statistics. Stochastic Models 5, no. 2 (January 1989): 181–217. http://dx.doi.org/10.1080/15326348908807105.

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32

Schmidli, Hanspeter. "Insurance Risk and Ruin." Journal of the American Statistical Association 101, no. 475 (September 2006): 1316. http://dx.doi.org/10.1198/jasa.2006.s131.

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33

West, Gerald T. "Political Risk Investment Insurance." Journal of Structured Finance 5, no. 2 (July 31, 1999): 27–36. http://dx.doi.org/10.3905/jsf.1999.320206.

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34

Brillinger, David R. "Earthquake risk and insurance." Environmetrics 4, no. 1 (March 1993): 1–21. http://dx.doi.org/10.1002/env.3170040102.

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35

Natale, W. K. "Risk-related health insurance." JAMA: The Journal of the American Medical Association 269, no. 2 (January 13, 1993): 213–14. http://dx.doi.org/10.1001/jama.269.2.213.

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36

Mitka, Mike. "High-Risk Insurance Pools." JAMA 302, no. 14 (October 14, 2009): 1522. http://dx.doi.org/10.1001/jama.2009.1460.

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37

Hogarth, Robin M., and Howard Kunreuther. "Risk, ambiguity, and insurance." Journal of Risk and Uncertainty 2, no. 1 (April 1989): 5–35. http://dx.doi.org/10.1007/bf00055709.

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38

Natale, William K. "Risk-Related Health Insurance." JAMA: The Journal of the American Medical Association 269, no. 2 (January 13, 1993): 213. http://dx.doi.org/10.1001/jama.1993.03500020047018.

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39

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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40

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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41

Hatchek, Helen. "Liability insurance: risk assessment." Safety Science 15, no. 4-6 (November 1992): 403–17. http://dx.doi.org/10.1016/0925-7535(92)90028-x.

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42

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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43

Romeike, Frank. "Buchbesprechung: Alternative risk tranfer Integrated Risk Management through Insurance, Reinsurance and the Capital Markets von Erik Banks." RISKNEWS 1, no. 5 (September 2004): 72. http://dx.doi.org/10.1002/risk.200490115.

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44

Moore, Winston, April Bernard, and Osaretin Iyare. "Individual Risk Propensity and Risk Background." Journal of Gambling Business and Economics 2, no. 3 (January 2, 2013): 53–70. http://dx.doi.org/10.5750/jgbe.v2i3.536.

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The paper considers the role that socio-psychological and socio-cultural factors play in individual decisions to take risk. The study employs four main measures of risk propensity: the mean probability of engaging in an investment, insurance or everyday gamble and the amount that would be invested in a hypothetical lottery. The study finds that gender had a significant influence on the probability of engaging in investment and everyday risk decisions, but a relatively insignificant impact on insurance decisions. The most important risk background variables were experience in making gambling decisions and confidence in making investment decisions. Similar results are obtained when the lottery-type measure of risk was employed.
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45

Korstanje, Maximiliano Emanuel, and Babu P. George. "What does insurance purchase behaviour say about risks?" International Journal of Disaster Resilience in the Built Environment 6, no. 3 (September 14, 2015): 289–99. http://dx.doi.org/10.1108/ijdrbe-09-2012-0030.

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Purpose – This paper aims to explore the world of insurances as rites of adaptancy and resiliency before risk and disasters. The research on risks, both perceived and real, has become a frequent theme of academic research in the recent past. Design/methodology/approach – The information given by the superintendencia de Seguros de Buenos Aires involves 100 per cent of the insurances companies of Argentina. The reading of insurance demands corresponds with a new method in the studies of risks. Findings – Using advanced probability theory and quantitative techniques, risk management researchers have been able to construct sophisticated mathematical-statistical models of risk. Research limitations/implications – However, the relation between anticipated risks and insurance purchase behaviour has not received sufficient attention. In the present study, starting from the premise that societies may be studied by examining their fears, the authors posit that these fears are represented in the insurance premiums people buy for being protected. Originality/value – Insurance purchase behaviour at any particular point in time is a measure of what a society considers to be risky at that time and is a key source of information for tourism managers.
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46

Klapkiv, Jurij. "THE INFRASTRUCTURE OF THE INSURANCE RISK." International Journal of New Economics and Social Sciences 2, no. 2 (December 30, 2015): 96–101. http://dx.doi.org/10.5604/01.3001.0010.3869.

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The infrastructure risk as an economic category, the reasons for the appearance. Implemented the concept of prejudice and shows the elements of risk. Considers the organizational-economic methods of manipulation of insurance risks to ensure minimum damage.
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47

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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48

Cox, Samuel H., and Robert G. Schwebach. "Insurance Futures and Hedging Insurance Price Risk." Journal of Risk and Insurance 59, no. 4 (December 1992): 628. http://dx.doi.org/10.2307/253347.

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49

Szpiro, George G. "Insurance, risk aversion and demand for insurance." Journal of Banking & Finance 6 (January 1988): 1–125. http://dx.doi.org/10.1016/0378-4266(88)90062-3.

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50

Mobarak, Ahmed Mushfiq, and Mark R. Rosenzweig. "Informal Risk Sharing, Index Insurance, and Risk Taking in Developing Countries." American Economic Review 103, no. 3 (May 1, 2013): 375–80. http://dx.doi.org/10.1257/aer.103.3.375.

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Preliminary findings are presented from a research project which examined the interactions between informal risk sharing, index insurance and risk-taking. Rainfall insurance contracts were randomly offered to cultivating and landless households in a set of Indian villages where preexisting census data on caste networks allowed the characterization of the nature and extent of informal risk sharing. We study how informal risk sharing mediates the demand for index insurance, whether index insurance or informal indemnification allows farmers to invest in risky technologies, and the general equilibrium effects of offering insurance contracts to cultivators and agricultural laborers.
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