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Journal articles on the topic 'Insurance – Mathematics'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2024

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1

Carroll, Patrick, and E. Straub. "Non-Life Insurance Mathematics." Journal of the Royal Statistical Society. Series A (Statistics in Society) 153, no. 2 (1990): 262. http://dx.doi.org/10.2307/2982815.

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2

Embrechts, P., and C. Klüppelberg. "Some Aspects of Insurance Mathematics." Theory of Probability & Its Applications 38, no. 2 (June 1994): 262–95. http://dx.doi.org/10.1137/1138025.

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3

Martin-Löf, Anders. "Harald cramér and insurance mathematics." Applied Stochastic Models and Data Analysis 11, no. 3 (September 1995): 271–76. http://dx.doi.org/10.1002/asm.3150110308.

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4

Martin-Löf, A. "Harald Cramér and Insurance Mathematics." Insurance: Mathematics and Economics 17, no. 3 (April 1996): 234. http://dx.doi.org/10.1016/0167-6687(96)82364-x.

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5

Embrechts, Paul. "Where mathematics, insurance and finance meet." Quantitative Finance 2, no. 6 (December 2002): 402–4. http://dx.doi.org/10.1080/14697688.2002.0000003.

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6

Ruohonen, Matti. "Non-Life Insurance Mathematics (Erwin Straub)." SIAM Review 32, no. 1 (March 1990): 184–85. http://dx.doi.org/10.1137/1032031.

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7

Lee, Si Won, and Young-Ok Kim. "The Analysis of Linkage between Insurance Mathematics and School Mathematics." East Asian mathematical journal 32, no. 2 (February 29, 2016): 233–51. http://dx.doi.org/10.7858/eamj.2016.019.

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8

Osei, James Adekorafo, and Emmanuel Yooku. "Designing an Insurance Pricing Model using a Mathematical Approach." Journal of Statistics and Mathematical Concepts 1, no. 1 (February 26, 2023): 17–24. http://dx.doi.org/10.58425/jsmc.v1i1.123.

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Purpose: Every time drivers take to the road, and with each mile that they drive, exposes themselves and others to the risk of an accident. Insurance premiums are only weakly linked to mileage, however, and have lump-sum characteristics largely. The result is too much driving, and too many accidents. The purpose of carrying out this research was to determine a model for calculating the premiums for Pay-As-You-Drive in automobile insurances. Methodology: To price Pay-As-You-Drvie auto insurance, we define a discounted collective risk model while the total number of claim has non-homogeneous Poi

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9

Denuit, Michel, and Esther Frostig. "Life Insurance Mathematics with Random Life Tables." North American Actuarial Journal 13, no. 3 (July 2009): 339–55. http://dx.doi.org/10.1080/10920277.2009.10597560.

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10

Beirlant, J., and S. T. Rachev. "The problem of stability in insurance mathematics." Insurance: Mathematics and Economics 6, no. 3 (July 1987): 179–88. http://dx.doi.org/10.1016/0167-6687(87)90011-4.

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11

Lemaire, Jean. "Fuzzy Insurance." ASTIN Bulletin 20, no. 1 (April 1990): 33–55. http://dx.doi.org/10.2143/ast.20.1.2005482.

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AbstractFuzzy set theory is a recently developed field of mathematics, that introduces sets of objects whose boundaries are not sharply defined. Whereas in ordinary Boolean algebra an element is either contained or not contained in a given set, in fuzzy set theory the transition between membership and non-membership is gradual. The theory aims at modelizing situations described in vague or imprecise terms, or situations that are too complex or ill-defined to be analysed by conventional methods. This paper aims at presenting the basic concepts of the theory in an insurance framework. First the

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12

Hald, Anders. "On the early history of life insurance mathematics." Scandinavian Actuarial Journal 1987, no. 1-2 (January 1987): 4–18. http://dx.doi.org/10.1080/03461238.1987.10413813.

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13

Dimitriyadis, İ., and Ü. N. Öney. "Deductibles in health insurance." Journal of Computational and Applied Mathematics 233, no. 1 (November 2009): 51–60. http://dx.doi.org/10.1016/j.cam.2008.09.020.

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14

Vovk, Viktoriia, Yuliіa Zhezherun, and Viktoriia Kostohryz. "THE INSURANCE MARKET OF UKRAINE IN THE PERIOD OF MARITAL LAW: FINANCIAL AND MARKETING ASPECTS." Problems and prospects of economics and management, no. 3(35) (2023): 119–31. http://dx.doi.org/10.25140/2411-5215-2023-3(35)-119-131.

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The article focuses on the study of modern development trends of the insurance market of Ukraine with an emphasis on the period of martial law. The content of the concept of "insurance market" has been identified and approaches to the interpretation of its essence have been systematized. Theregula-tory basis for the regulation of the insurance market has been developed, in particular, the new Law of Ukraine "On Insurance". A new model of regulation of the NBU has been studied, taking into account the provisions of the European Union directives, the International Principles of the IAIS, and the

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15

Scadden, R. W. "Non-Life Insurance Mathematics. By Erwin Straub. (Springer-Verlag.)." Journal of the Institute of Actuaries 116, no. 2 (September 1989): 297. http://dx.doi.org/10.1017/s0020268100036611.

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16

Minto, Amy. "Early Insurance Mechanisms and Their Mathematical Foundations." Mathematics Enthusiast 5, no. 2-3 (July 1, 2008): 345–56. http://dx.doi.org/10.54870/1551-3440.1113.

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17

Konstantinos, Korres. "Students’ Attitudes towards Discovery Learning / Constructivistic Approach using Computers as Cognitive Tools in Higher Mathematics Education." European Journal of Engineering Research and Science, CIE (March 8, 2018): 44. http://dx.doi.org/10.24018/ejers.2018.0.cie.643.

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This paper analyses the discovery learning / constuctivistic approach using cognitive tools in higher Mathematics education and focuses on electronic worksheets designed and implemented in Mathematica. The approach was applied at the University of Piraeus. Students from the Department of Statistics and Insurance Sciences participated in the research. The paper focuses on empirical research results on students’ attitudes towards the approach, concerning the cognitive tool used (Mathematica), the approach’s discovery learning and constructivistic characteristics and the development of higher ord

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18

Prunglerdbuathong, Piriya, Tippatai Pongsart, Weenakorn Ieosanurak, and Watcharin Klongdee. "Enhanced Insurance Risk Assessment using Discrete Four-Variate Sarmanov Distributions and Generalized Linear Models." International Journal of Mathematical, Engineering and Management Sciences 9, no. 2 (April 1, 2024): 224–43. http://dx.doi.org/10.33889/ijmems.2024.9.2.012.

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This research paper investigated multivariate risk assessment in insurance, focusing on four risks of a singular person and their interdependence. This research examined various risk indicators in non-life insurance which was under-writing for organizations with clients that purchase several non-life insurance policies. The risk indicators are probabilities of frequency claims and correlations of two risk lines. The closed forms of probability mass functions evaluated the probabilities of frequency claims. Three generalized linear models of four-variate Sarmanov distributions were proposed for

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19

Zhang, Yan, Yonghong Wu, and Haixiang Yao. "Optimal Insurance Indemnity and Reinsurance Strategy for Health Insurance." Mathematical Problems in Engineering 2021 (August 13, 2021): 1–13. http://dx.doi.org/10.1155/2021/3931230.

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“Health insurance + health management” package has recently become one of the most important nonlife insurance products, and its pricing technique has drawn attention from both academia and industry. This paper investigates the optimal indemnity design and per-loss reinsurance strategy for the health insurance package, where the reinsurance contract is assumed to combine the quota-share type and the excess-of-loss type. By applying the Lagrange multiplier method and optimal control technique, we develop the solutions to the corresponding optimization problems and obtain the optimal deductible.

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20

Campana, Antonella, and Paola Ferretti. "On retrospective insurance premium." Applied Mathematical Sciences 15, no. 11 (2021): 505–12. http://dx.doi.org/10.12988/ams.2021.914551.

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21

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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22

Bulinskaya, E. V. "Discrete-Time Insurance Models." Moscow University Mathematics Bulletin 78, no. 6 (December 2023): 298–308. http://dx.doi.org/10.3103/s0027132223060025.

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23

Katsikis, Vasilios N. "Computational methods in portfolio insurance." Applied Mathematics and Computation 189, no. 1 (June 2007): 9–22. http://dx.doi.org/10.1016/j.amc.2006.11.054.

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24

Zimbidis, Alexandros A. "Insurance pricing using H-control." Applied Mathematics and Computation 232 (April 2014): 685–97. http://dx.doi.org/10.1016/j.amc.2014.01.105.

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25

Cox, Samuel H., Joseph R. Fairchild, and Hal W. Pedersen. "Economic Aspects of Securitization of Risk." ASTIN Bulletin 30, no. 1 (May 2000): 157–93. http://dx.doi.org/10.2143/ast.30.1.504631.

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AbstractThis paper explains securitization of insurance risk by describing its essential components and its economic rationale. We use examples and describe recent securitization transactions. We explore the key ideas without abstract mathematics. Insurance-based securitizations improve opportunities for all investors. Relative to traditional reinsurance, securitizations provide larger amounts of coverage and more innovative contract terms.

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26

Горцевская, О. Г., and В. А. Фролова. "CURRENT ISSUES OF CONSTRUCTION AND ASSEMBLY RISK INSURANCE IN SHIPBUILDING." Audit and Financial Analysis, no. 6_2021 (December 31, 2021): 5–9. http://dx.doi.org/10.38097/afa.2021.33.79.034.

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Статья посвящена актуальным вопросам страхования строительно-монтажных рисков в судостроении. Определена специфика страхования судов в постройке как направления управления строительно-монтажными рисками. Отмечено наличие дискуссионных и проблемных вопросов в сфере теории и практики страхования строительно-монтажных рисков при постройке и ремонте судов, в том числе касающихся необходимости применения специального подхода, учитывая сложность хозяйственных и финансовых связей, формируемых в судостроении. Выявлены области совпадения рисков заказчиков, исполнителей, проектировщиков и третьих лиц в

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27

Et. al., Nadia Yas ,. "Implications of Compulsory Car Accident Insurance Comparative Study." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 10, 2021): 2410–20. http://dx.doi.org/10.17762/turcomat.v12i2.2052.

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Compulsory civil liability insurance on car accidents is one of the most important topics, which aims to achieve traffic safety and reduce car accidents. Today, car accidents constitute a great danger to human life as they cause different types of physical and moral damages. This study, however, attempts to highlight the effectiveness of compulsory insurance in providing legal protection for damages resulting from car accidents. Such protection can be achieved through the process of creating legal mechanism to enable injured people to refer to insurance companies. It is quite apparent that nob

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28

Mitchell, Charles E. "Real-World Mathematics." Mathematics Teacher 83, no. 1 (January 1990): 12–16. http://dx.doi.org/10.5951/mt.83.1.0012.

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For the past three years I have participated in Title II projects that have focused on the needs of business and industry and the preparation of our high school graduates to meet these needs. In the course of these projects, in-service mathematics teachers from fourth through twelfth grade were placed in business and industry to study how mathematics is used to solve everyday problems. The settings ranged from the local hospital and real estate and insurance firms to such national corporations as Holiday Inn and E. F. Hutton. Government agencies, such as the local sheriff's office and the U.S.

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29

Cox, Sherry L. "MATHCOUNTS: The Ultimate in Problem Solving." Arithmetic Teacher 36, no. 2 (October 1988): 20–26. http://dx.doi.org/10.5951/at.36.2.0020.

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Mathcounts is a mathematics competition for seventh and eighth graders sponsored in part by the National Council of Teachers of Mathematics, the CNA Insurance Compani es, the Nationa l Society of Professional Engineers, the National Aeronautics and Space Administration, the General Motors Foundation, and the Cray Research Foundation. It offers students an opportunity to expand the ir appreciation of mathematics and to improve their problemsolving abi lities.

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30

Shorgin, S. Ya. "Guaranteed bounds for insurance premium rates for the insurance portfolio of factorizable claims." Journal of Mathematical Sciences 93, no. 4 (February 1999): 582–90. http://dx.doi.org/10.1007/bf02365064.

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31

Pettere, Gaida. "Stochastic modelling of insurance liabilities." Acta et Commentationes Universitatis Tartuensis de Mathematica 13 (December 31, 2009): 25–35. http://dx.doi.org/10.12697/acutm.2009.13.03.

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Our aim is to present a method for estimating incurred but not reported (IBNR) claim reserves. Each claim is described by threecharacteristics: the claim size, the allocated loss adjusted expense and the development time. We concentrate on the joint study of all three random variables. First, the marginal univariate distributions are estimated using families of lognormal, Pareto, Wald and Gamma distributions. Next, the matrix of dependence characteristics is found between the three variables and then different multivariate copulas are used to model the joint distribution. The obtained models a

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32

Barnes, Sue Jackson. "Involve the Community." Mathematics Teacher 86, no. 6 (September 1993): 442–48. http://dx.doi.org/10.5951/mt.86.6.0442.

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Many high school mathematics students unrealistically believe that if they can just finish one more general mathematics course, they will never again have to face mathematics. They realize that they must know how to write checks and are quite eager to learn about managing a checking account. Other than this banking activity, they are quite sure that only engineers and mathematics teachers use mathematics on a daily basis. When asked about such items as taxes and insurance, the stock answer is, “Oh, I'll just let my accountant take care of things like that!”

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33

FOULADVAND, M. EBRAHIM, and AMIR H. DAROONEH. "PREMIUM FORECASTING OF AN INSURANCE COMPANY: AUTOMOBILE INSURANCE." International Journal of Modern Physics C 16, no. 03 (March 2005): 377–87. http://dx.doi.org/10.1142/s0129183105007170.

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We present an analytical study of an insurance company. We model the company's performance on a statistical basis and evaluate the predicted annual income of the company in terms of insurance parameters namely the premium, the total number of insured, average loss claims etc. We restrict ourselves to a single insurance class the so-called automobile insurance. We show the existence of a crossover premium pc below which the company is operating at a loss. Above pc, we also give a detailed statistical analysis of the company's financial status and obtain the predicted profit along with the corre

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34

Et. al., Asha Rani,. "Multi Criteria Decision Making (MCDM) based preference elicitation framework for life insurance recommendation system." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 1848–58. http://dx.doi.org/10.17762/turcomat.v12i2.1523.

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The global life insurance industry has shown a phenomenal growth in number of companies, insurance products and their users. The digital revolution has played a pivotal role in the field of insurance too. Increased numbers of companies and insurance plans have increased the complexities and time involved in selection of appropriate policies. At present, major share of policy selling goes to the agents which may be biased and time consuming. The web aggregators too have failed to provide customized and personalized suggestions. Major portion of population still finds the selection of best insur

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35

Kulkarni, Mukund, Dhammadeep D. Meshram, Bhagyesh Patil, Rahul More, Mridul Sharma, and Pravin Patange. "Medical Insurance Cost Prediction using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 449–56. http://dx.doi.org/10.22214/ijraset.2022.47923.

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Abstract: Insurance is a policy that helps to cover up all loss or decrease loss in terms of expenses incurred by various risks. A number of variables affect how much insurance costs. These considerations of different factors contribute to the insurance policy cost expression. Machine Learning( ML) in the insurance sector can make insurance more effective. In the domains of computational and applied mathematics the machine learning (ML) is a well-known research area. ML is one of the computational intelligence aspects when it comes to exploitation of historical data that may be addressed in a

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36

Qi, Li-Mei, Ruo-Yu Yao, Xing-Zhe Zhang, Yu-Jing Zhang, Xiao-Yin Wang, Jian-Ping Tao, and Jia-Ming Zhu. "Research on Revenue Insurance Premium Ratemaking of Jujube Based on Copula-Stochastic Optimization Model." Journal of Mathematics 2021 (May 18, 2021): 1–8. http://dx.doi.org/10.1155/2021/9959638.

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During the process of jujube planting, there are not only natural risks caused by natural disasters but also market risks caused by price factors. In the study, firstly, wavelet analysis method was used to stabilize the jujube yield per unit area and the jujube price from 1997 to 2018 in Aksu region, Xinjiang, China. Secondly, EasyFit software was used to fit the distribution functions of yield per unit area and price, respectively. Thirdly, the optimal Copula function which connects the marginal distribution functions and its joint distribution function was selected with the principle of “the

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37

Zhang, Yan, and Yonghong Wu. "Optimal Health Insurance and Trade-Off between Health and Wealth." Journal of Applied Mathematics 2020 (August 1, 2020): 1–9. http://dx.doi.org/10.1155/2020/2658213.

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Health insurance is considered to be a special type of nonlife insurance with two important features. First, compared with property insurance, health insurance provides valuable hedge against unpredictable shocks to health status, instead of loss on property. Therefore, a modified utility function that describes the trade-off between health and wealth should be applied in optimal indemnity design. Second, in the case that the insured is severely or critically ill, with necessary medical treatment, the insured may not fully recover from an illness or an injury. The doctor usually communicates w

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38

Lieka, Tetiana. "THE RISK OF THE FUNCTIONING OF INSURERS AND THE TRUST OF INSURERS IN THE CURRENT MEASURE." Problems and prospects of economics and management, no. 3(31) (2022): 213–23. http://dx.doi.org/10.25140/2411-5215-2022-3(31)-213-223.

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The article deepens the understanding of the interdependence of the risks of insurance compa-nies. It is substantiated that in the most general view, the risks of insurers include the following types: strategic, tactical and operational. The specificity of the functioning of insurance companies leads to the emergence of insurance, market, credit and operational risks. It has been proven that risk is close-ly related to management, and the effectiveness of its management is the basis for the formation of a certain level of customer trust. The understanding of trust as an asset of the insurance

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39

Pysarenko, Nadiia, Elena Ablova, Alexander Dudko, Victor Malyarevsky, and Miroslav Kosyak. "Current models in the field of agricultural crops insurance." Problems of Innovation and Investment Development, no. 25 (June 30, 2021): 127–35. http://dx.doi.org/10.33813/2224-1213.25.2021.13.

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Agricultural production is an important and at the same time the most risky type of economic activity. Its reproductive process is associated with natural and climatic, biological and financial factors, the action of which in many cases is difficult to forgive and control. Crop production is particularly affected by cumulative natural risks. One of the ways to minimize agricultural risks is to use crop insurance as an important means of ensuring the riskiness of agricultural production from probable natural and weather factors. The pricing mechanism for crop insurance services is substantiated

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Et. al., G. Srimannarayana. "A Study on Days of hospitalization of insured with the claims data." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 11, 2021): 5230–38. http://dx.doi.org/10.17762/turcomat.v12i3.2152.

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: The health insurance sector has grown at a double digit growth rate in India in the past decade. The Government schemes for the individuals' insurance coverage from the low-income group have resulted in higher penetration. Raise in the disposable income of the middle income and awareness of health insurance has led to self-subscription by private individuals. An increase in insurance penetration has also led to an increment in the claims for the insurer. However, the insurance coverage has been actively subscribed by the population in the age group of 19-64 years. The average claim amount pr

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41

Et. al., Ramesh Kumar Satuluri,. "Digital Transformation In Indian Insurance Industry." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (April 11, 2021): 310–24. http://dx.doi.org/10.17762/turcomat.v12i4.509.

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This paper titled “Digital Transformation in Indian Insurance Industry” is an attempt to give deep insights to all the readers on digital transformation in insurance space. Technological innovations are extensive and all encompassing. Disruptions are not industry specific and insurance industry is no exception to this. Recently regulator published a draft regulation on sandbox concept, which permits carriers to innovate their offering to end user. This is led by fintech and insure tech companies and carriers have structured digital boards to take this revolution forward.Major findings of this

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42

Wu, Xian, and Huan Liu. "Evaluation and Selection of Insurance Marketing Schemes Driven by Multisource Big Data." Mathematical Problems in Engineering 2022 (April 22, 2022): 1–9. http://dx.doi.org/10.1155/2022/3642863.

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Insurance marketing is a discipline that maximizes the benefits between policyholders and insurance companies. A big data-driven approach combined with insurance promotions can leverage a wealth of empirical data to develop new customers, motivate existing customers to engage in more activities, and retain existing customers. Insurance business involves a wide variety of scopes and types, and it is labor-intensive and resource-intensive to rely solely on insurance business personnel to process these tedious data. The data-driven approach can find correlations and perform automatic prediction m

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Dong, Yang, Hao Wang, and Lihong Zhang. "Stock Return Uncertainty and Life Insurance." Mathematical Problems in Engineering 2020 (July 10, 2020): 1–14. http://dx.doi.org/10.1155/2020/1835146.

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Knightian uncertainty embedded in stock returns causes rising demand for life insurance, as the uncertainty averse agent seeks alternative investment channels. Life insurance demand of middle-aged agent is more sensitive to the uncertainty. Stock return uncertainty reduces the agent’s total wealth and subsequently the propensity of wealthy agent serving as an insurance seller. Rising demand and falling supply of life insurance imply that life insurance is more expensive in the presence of stock return uncertainty. Sensitivity of life insurance demand to the mortality rate and key stock return

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44

Steffensen, Mogens. "Quadratic Optimization of Life and Pension Insurance Payments." ASTIN Bulletin 36, no. 01 (May 2006): 245–67. http://dx.doi.org/10.2143/ast.36.1.2014151.

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Quadratic optimization is the classical approach to optimal control of pension funds. Usually the payment stream is approximated by a diffusion process. Here we obtain semiexplicit solutions for quadratic optimization in the case where the payment process is driven by a finite state Markov chain model commonly used in life insurance mathematics. The optimal payments are affine in the surplus with state dependent coefficients. Also constraints on payments and surplus are studied.

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Steffensen, Mogens. "Quadratic Optimization of Life and Pension Insurance Payments." ASTIN Bulletin 36, no. 1 (May 2006): 245–67. http://dx.doi.org/10.1017/s0515036100014471.

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Quadratic optimization is the classical approach to optimal control of pension funds. Usually the payment stream is approximated by a diffusion process. Here we obtain semiexplicit solutions for quadratic optimization in the case where the payment process is driven by a finite state Markov chain model commonly used in life insurance mathematics. The optimal payments are affine in the surplus with state dependent coefficients. Also constraints on payments and surplus are studied.

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46

Petrović Tomić, Nataša. "Aktuelnost razlikovanja prava na naknadu štete i prava na osiguranu sumu u delu Mihaila Konstantinovića: klasični instituti i moderno pravo osiguranja." Anali Pravnog fakulteta u Beogradu 70, no. 5 (December 29, 2022): 605–33. http://dx.doi.org/10.51204/anali_pfbu_22mk20a.

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Author arguments that the distinction between the right to compensation for damage and the right to the insured amount originates from the work of Mihailo Konstantinović. Although the Draft Law on Obligations and Contracts does not regulate all types of insurance, Konstantinović has clearly and precisely stated that “the insured amount received by the insured party from the insurance company does not replace compensation for damage to which the party is entitled, according to the general rules on compensation for damage.” This wording has not lost its relevance today. Conversely, it is more re

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47

Lee, Wing Yan, and Derrick W. H. Fung. "Current deficiencies and reinforcement of institutional pillars for reform in the green insurance market: A systematic review." European Journal of Sustainable Development Research 7, no. 4 (September 3, 2023): em0235. http://dx.doi.org/10.29333/ejosdr/13634.

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Despite the fact that green insurance makes up a significant portion of green finance, there is a lack of systematic understanding and analysis on the international green insurance market in the literature. In this paper, we study how the market for green insurance has evolved and discuss the current challenges. The important elements promoting sustainable growth in the market include universal consensus on the definition of green insurance, an optimal regulatory framework, technological advancement, and talent nurturing, and rising social acceptance. We apply the institutional framework to ex

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48

Widyani, Azizah Rini. "Determination of Life Microinsurance Premium Using the Commercial Rate Method." International Journal of Global Operations Research 4, no. 4 (November 17, 2023): 247–52. http://dx.doi.org/10.47194/ijgor.v4i4.256.

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Microinsurance is insurance that is intended for people who have low incomes which is made with the aim that all levels of society can have insurance with affordable prices. Life insurance is a protection program for families in the event of unwanted things, such as death or permanent disability, to policy holders. This study aims to determine the life microinsurance premium. The data sample used is data on claim and benefit paid by life insurance company obtained from the official website of Otoritas Jasa Keuangan (OJK) Indonesia, which is assumed to have a log-normal distribution. The resear

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Hornyák Gregáňová, Radomíra, Miriam Pietriková, and Norbert Kecskés. "Financial and insurance mathematics in practice from students´ point of view." Mathematics in Education, Research and Applications 4, no. 2 (December 2018): 83–87. http://dx.doi.org/10.15414/meraa.2018.04.02.83-87.

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Embrechts, P., R. Grübel, and S. M. Pitts. "Some applications of the fast Fourier transform algorithm in insurance mathematics." Insurance: Mathematics and Economics 13, no. 2 (November 1993): 151. http://dx.doi.org/10.1016/0167-6687(93)90864-l.

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