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2022 | OriginalPaper | Buchkapitel

Automated Forming of Insurance Premium for Different Risk Attitude Investment Portfolio Using Robo-Advisor

verfasst von : Vitaliy Kobets, Valeria Yatsenko, Ihor Popovych

Erschienen in: ICTERI 2021 Workshops

Verlag: Springer International Publishing

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Abstract

The volume of private investment is growing steadily nowadays. In this case, it is crucial to analyze investors’ behaviour, decision-making factors and the specifics of their investment portfolio formation and especially their cognitive constraints, which prevent them from effectively defining investment goals and profitable achieving them. This research shows that investors, even experienced and financially literate, often make significant mistakes when creating their own investment portfolios. Thus, the use of automated tools for determining the insurance premium and the optimal investment portfolio, which is a robo-adviser, becomes relevant. The paper presents the model for estimating personal insurance premium for different risk attitude investment portfolios using robo-advisor. Three types of investors are analyzed: conservative, aggressive, and moderately aggressive. The model helps determine the individual size of the insurance premium for each investor profile, taking into account his or her risk attitude.

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Markowitz, H.M.: Portfolio selection. J. Financ. 7, 77–91 (1952). https://doi.org/10.1111/j.1540-6261.1952.tb01525.xCrossRef

Frydman, C., Camerer, C.F.: The psychology and neuroscience of financial decision making. Trends Cogn. Sci. 20(9), 661–675 (2016). https://doi.org/10.1016/j.tics.2016.07.003CrossRef

Kahneman, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica: J. Econometric Soc. 47(2), 263–292 (1979). https://doi.org/10.2307/1914185

Campbell, J.Y.: Restoring rational choice: the challenge of consumer financial regulation. Am. Econ. Rev. 106, 1–30 (2016). https://doi.org/10.1257/aer.p20161127CrossRef

De Bondt, W.: A portrait of the individual investor. Eur. Econ. Rev. 42, 831–844 (1998). https://doi.org/10.1016/S0014-2921(98)00009-9CrossRef

AQR Capital Management, Words from the Wise: Harry Markowitz. https://images.aqr.com/-/media/AQR/Documents/Insights/Interviews/Words-From-the-Wise-Harry-Markowitz-on-Portfolio-Theory-and-Practice.pdf. Accessed 12 Jan 2021

Bikas, E., Jurevičienė, D., Dubinskas, P., Novickytė, L.: Behavioural finance: the emergence and development trends. Procedia Soc. Behav. Sci. 82, 870–876 (2013). https://doi.org/10.1016/j.sbspro.2013.06.363CrossRef

Kuo, W.Y., Lin, T.C., Zhao, J.: Cognitive limitation and investment performance: evidence from limit order clustering. Rev. Financ. Stud. 28(3), 838–875 (2015)CrossRef

Baker, M., Greenwood, R., Jeffrey, W.: Catering through nominal share prices. J. Financ. 64, 25592590 (2009). https://doi.org/10.1111/j.1540-6261.2009.01511.x

10.

Barber, B.M., Odean, T.: All that glitters: the effect of attention and news on the buying behavior of individual and institutional investors. Rev. Financ. Stud. 21, 785–818 (2008). https://doi.org/10.1093/rfs/hhm079CrossRef

11.

Levišauskait, K.: Investment Analysis and Portfolio Management. Development and Approbation of Applied Courses, Vytautas Magnus University, Kaunas (2010)

12.

Karlsson, N., Loewenstein, G., Karlsson, D.S.: The ostrich effect: selective attention to information. J. Risk Uncertainty 38, 95–115 (2009). https://doi.org/10.1007/s11166-009-9060-6CrossRefMATH

13.

Barber, B.M., Odean, T.: Boys will be boys: gender, overconfidence, and common stock investment. Quart. J. Econ. 2, 261–292 (2001). https://doi.org/10.2139/ssrn.139415CrossRefMATH

14.

Mamenko, P., Zinchenko, S., Kobets, V., Nosov, P., Popovych, I.: Solution of the problem of optimizing route with using the risk criterion. In: Babichev, S., Lytvynenko, V. (eds.) ISDMCI 2021. LNDECT, vol. 77, pp. 252–265. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-82014-5_17CrossRef

15.

Hirshleifer, D., Shumway, T.: Good day sunshine: stock returns and the weather. J. Financ. 58, 1009–1032 (2003). https://doi.org/10.1111/1540-6261.00556CrossRef

16.

Edmans, A., Garcia, D., Norli, O.: Sport sentiments and stock returns. J. Financ. LXII 4, 1967–1998 (2007). https://doi.org/10.1111/j.1540-6261.2007.01262.xCrossRef

17.

Popovych, I., Blynova, O., Kuzikova, S., Shcherbak, T., Lappo, V., Bilous, R.: Empirical research of vitality of representatives of parachuting and yoga practice: a comparative analysis. J. Phys. Educ. Sport 21(1), 218–226 (2021). https://doi.org/10.7752/jpes.2021.01029CrossRef

18.

Huberman, G.: Familiarity breeds investment. Rev. Financ. Stud. Fall 14(3), 659–680 (2001). https://doi.org/10.1093/rfs/14.3.659CrossRef

19.

Hyll, W., Irrek, M.: The impact of risk attitudes on financial investments. IWH Discussion Papers 10 (2015)

20.

Brandouy, O., Mathieu, P., Veryzhenko, I.: Risk aversion impact on investment strategy performance: a multi agent-based analysis. In: Teglio, A., Alfarano, S., Camacho-Cuena, E., Ginés-Vilar, M. (eds.) Managing Market Complexity, pp. 91–102. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-31301-1_8CrossRef

21.

Díaz, A., Esparcia, C.: Assessing risk aversion from the investor’s point of view. Front. Psychol. 10 (2019). https://doi.org/10.3389/fpsyg.2019.01490

22.

Komleva, N., Liubchenko, V., Zinovatna, S., Kobets, V.: Risk management with lean methodology. In: Proceedings of the 1st International Workshop on Computational & IT for Risk-Informed Systems, CITRisk 2020, Kherson, Ukraine, vol. 2805, pp. 266–281. CEUR-WS (2020). http://ceur-ws.org/Vol-2805/paper20.pdf

23.

Nicholson, W., Snyder, C.: Microeconomic Theory: Basic Principles and Extensions, 10th edn. Thomson/South-Western, Mason (2008)

24.

Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives – Preferences and Value Tradeoffs. Cambridge University Press, Cambridge (1993)CrossRef

25.

Markowitz, H.M.: Portfolio Selection – Efficient Diversification of Investments. Wiley, New York (1959)

26.

Zinchenko, S., Tovstokoryi, O., Nosov, P., Popovych, I., Kobets, V., Abramov, G.: Mathematical support of the vessel information and risk control systems. In: Proceedings of the 1st International Workshop on Computational & IT for Risk-Informed Systems, CITRisk 2020, Kherson, Ukraine, vol. 2805, pp. 335–354. CEUR-WS (2020). http://ceur-ws.org/Vol-2805/paper25.pdf

27.

Khrapkina, V., Kobets, V., Stratonov, V.: Market dynamics of ensuring financial security and sustainable development of enterprise. Stud. Microecon. 9 (2021). https://doi.org/10.1177/23210222211024382

28.

Kitanov, Y.: Portfolio investment risks: typology and mitigation. Econ. Bus. J. 10(1), 332–338 (2016)

29.

Dittmann, I.: Subjective aspects of the risk assessment process in emerging real estate markets. Studia Ekonomiczne 46, 63–76 (2007)

30.

Hue, B., Jinks, A., Spain, J., Bora, M., Siew, S.: Investment risk for long-term investors: risk measurement approaches: considerations for pension funds and insurers. Br. Actuar. J. 24, 1–52 (2019). https://doi.org/10.1017/S1357321719000102CrossRef

31.

Meunier, G.: Risk aversion and technology portfolios. Rev. Ind. Organ. 44(4), 347–365 (2014). https://doi.org/10.1007/s11151-014-9420-5CrossRef

32.

Tobin, J.: The Theory of Portfolio Selection, The Theory of Interest Rates. MacMillan, London (1965)

33.

Kilinich, D., Kobets, V.: Support of investors’ decision making in economic experiments using software tools. In: Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer, Kherson, Ukraine, vol. 2393, pp. 277–288. CEUR-WS (2019). http://ceur-ws.org/Vol-2393/paper_273.pdf

34.

Snihovyi, O., Ivanov, O., Kobets, V.: Implementation of Robo-advisors using neural networks for different risk attitude investment decisions. In: Proceedings of the 9th International Conference on Intelligent Systems, IS 2018, Funchal Portugal, vol. 8710559, pp. 332–336. IEEE (2018). https://doi.org/10.1109/IS.2018.8710559

35.

Kobets, V., Yatsenko, V., Mazur, A., Zubrii, M.: Data analysis of private investment decision making using tools of robo-advisers in long-run period. In: Proceedings of the 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer, Kyiv, Ukraine, vol. 2104, pp. 144–159. CEUR-WS (2018). http://ceur-ws.org/Vol-2104/paper_162.pdf

36.

Ivanov, O., Snihovyi, O., Kobets, V.: Implementation of Robo-advisors tools for different risk attitude investment decisions. In: Proceedings of the 14th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer, Kyiv, Ukraine, vol. 2104, pp. 195–206. CEUR-WS (2018). http://ceur-ws.org/Vol-2104/paper_161.pdf

37.

Snihovyi, O., Kobets, V., Ivanov, O.: Implementation of Robo-advisor services for different risk attitude investment decisions using machine learning techniques. In: Ermolayev, V., Suárez-Figueroa, M.C., Yakovyna, V., Mayr, H.C., Nikitchenko, M., Spivakovsky, A. (eds.) ICTERI 2018. CCIS, vol. 1007, pp. 298–321. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-13929-2_15CrossRef

38.

Gilbert, S.D., Loi, H.: Digital currency risk. Int. J. Econ. Financ. 10, 108–123 (2018). https://doi.org/10.5539/ijef.v10n2p108CrossRef

Titel: Automated Forming of Insurance Premium for Different Risk Attitude Investment Portfolio Using Robo-Advisor
verfasst von: Vitaliy Kobets
Valeria Yatsenko
Ihor Popovych
Verlag: Springer International Publishing
Buch: ICTERI 2021 Workshops
Print ISBN: 978-3-031-14840-8

Electronic ISBN: 978-3-031-14841-5

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-031-14841-5_1

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