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2021 | OriginalPaper | Chapter

12. Artificial Intelligence and Pricing in Banking 5.0

Author : Bernardo Nicoletti

Published in: Banking 5.0

Publisher: Springer International Publishing

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Abstract

This chapter deals underlines the Artificial intelligence (AI) support to manage and innovate pricing in banking 5.0. The business model canvas for banking 5.0 considers the economic factors: revenue and costs. There is a belief that banking 5.0 acts only on reducing costs. It does have an impact on revenue. The most significant actions are on pricing. On the other side, investments by financial institutions are another vital source of income. Banking 5.0 supports risk pricing and investments. It can support pricing in the direction of the extreme customization of risk evaluation and detailed risk pricing. This chapter analyzes the risk management process. One of the significant benefits of digital banking adoption is the financial institutions’ ability to better forecast risks and customer demand. In this way, there is a transformation of financial institutions’ value proposition from “reactive organizations” to “preventive banking advisors,” lowering their prices and shaping their targets.

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previous chapter Partnerships in Banking 5.0
next chapter Payments for Costs and Investments in Banking 5.0
Footnotes
3
Bouyon, S. (2018). Cost and value in banks: A model fit for the digital era? ECRI Research Report, 20 April 2018.
 
4
Finocchiaro, M. (2018). Blockchain disruption: A focus on the banking system. Master Thesis, Luiss University, Rome, Italy.
 
7
Treacy, W. F., & Carey, M. (2000). Credit risk rating systems at large US banks. Journal of Banking & Finance, 24(1–2), 167–201.
 
8
Siddiqi, N. (2012). Credit risk scorecards: Developing and implementing intelligent credit scoring (Vol. 3). Wiley, Hoboken, NJ.
 
9
Albrecher, H., Bommier, A., Filipović, D., Koch-Medina, P., Loisel, S., & Schmeiser, H. (2019). Insurance: Models, digitization, and data science. European Actuarial Journal, 9(2), 349–360.
 
10
Corea, F. (2019). Applied artificial intelligence: Where AI can be used in business. Springer International Publishing, Cham, Switzerland.
 
11
Siddiqi, N. (2012). Credit risk scorecards: Developing and implementing intelligent credit scoring (Vol. 3). Wiley, Hoboken, NJ.
 
12
www.investopedia.com/terms/r/risk.asp#:~:text=Risk-is-defined-in-financial,all-of-an-original-investment.&text=In-finance,-standard-deviation-is-a-common-metric-associated-with risk. Accessed 3 December 2020.
 
13
Trkman, P., & McCormack, K. (2009). Supply chain risk in turbulent environments—A conceptual model for managing supply chain network risk. International Journal of Production Economics, 119(2), 247–258.
 
14
Ogus, A. I. (2004). Regulation: Legal form and economic theory. Bloomsbury Publishing, London, UK.
 
15
Remains, A., & Sironi, A. (2011). The financial crisis and Basel 3: Origins, aims and structure of the new regulatory framework (No. 1). Carefin Working Paper.
 
16
Araujo, M. (2017, November). What is insurance credit scoring? www.​thebalance.​com/​what-is-insurancecredits​coring-2645778. Accessed 25 December 2019.
 
17
Hallikas, J., Karvonen, I., Pulkkinen, U., Virolainen, V. M., & Tuominen, M. (2004). Risk management processes in vendor networks. International Journal of Production Economics, 90(1), 47–58.
 
19
Baird, I. S., & Thomas, H. (1985). Toward a contingency model of strategic risk-taking. Academy of Management Review, 10(2), 230–243.
 
20
Kitchens, F. (s.d). Financial implications of artificial neural networks in automobile insurance credit scoring. International Journal of Electronic Finance, 3, 311–319.
 
21
California Insurance CE. (n.d.). Insurance credit scoring. www.​ceclass.​com/​164.​pdf. Accessed 30 March 2020. Accessed 30 April 2020.
 
22
Thomas, L., Crook, J., & Edelman, D. (2017). Credit scoring and its applications. Society for Industrial and Applied Mathematics, Philadelphia, PA. Ghodselahi, A., & Amirmadhi, A. (2011). Application of artificial intelligence techniques for credit risk evaluation. International Journal of Modeling and Optimization, 1(3), 243.
 
23
Manulife Insurance. (n.d.). What you need to know about insurance credit scoring. manulife.ca/wps/wcm/connect/3ef82954-404f-4cce-bebd-0813142c3848/ins_under_whatyouneed.pdf?MOD=AJPERES&CACHEID=3ef82954-404f-4cce-bebd-0813142c3848. Accessed 20 March 2020.
 
24
The Institutes. Risk & Insurance knowledge group. (n.d.). Credit scoring. The Institutes. Risk & Insurance knowledge group: www.​theinstitutes.​org/​Comet/​programs/​ins24/​assets/​pdf/​INS24.​pdf. Accessed 22 March 2020.
 
25
Parodi, P. (2016, October). General insurance pricing. www.​cii.​co.​uk/​knowledge/​resources/​articles/​basic-concepts-and-techniques-of the-pricing-process/43681. Accessed 22 March 2020.
 
26
California Insurance CE. (n.d.). Insurance credit scoring. www.​ceclass.​com/​164.​pdf. Accessed 20 March 2020.
 
27
Thomas, L. C. (2009). Consumer credit models: Pricing, profit and portfolios: pricing, profit and portfolios. OUP Oxford, UK.
 
28
A first look at the OECD’s Framework for the Classification of AI Systems, designed to give policymakers clarity—OECD.AI. Accessed 12 December 2020.
 
29
Kostelník, P., Isakovic, I., Muroň, M., Dařena, F., & Procházka, D. (2019). Chatbots for enterprises: Outlook. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 67(6), 1541–1550.
 
30
Cambosu, D. (2017, March). L’abc dell’insurtech, le parole dell’innovazione nelle assicurazioni. www.​insuranceup.​it/​it/​scenari/​l-abc-dell-insurtech-le-parole-dell-innovazionenelle​-assicurazioni_​1544.​htm Accessed 30 March 2020. Reilly, M. (2016, July). The future of the credit scoring process in the digital age. insuranceblog.accenture.com/future-of-creditscoring-process-in-digital-age. Accessed 30 March 2020.
 
31
insightsbenelux.com/publications/%2314_werkplaats_(ochtend)_EY_Finance_Robotics.pdf. Accessed 25 September 2020.
 
32
eba.europa.eu/regulation-and-policy/customer-protection-and-financial-innovation/guidelines-on-creditworthiness-assessment. Accessed 20 January 2021.
 
33
Wu, D. D., Olson, D. L., & Luo, C. (2014). A decision support approach for accounts receivable risk management. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(12), 1624–1632.
 
34
OECD. (2018). OECD science, solutions and innovation outlook 2018: Adapting to technological and societal disruption. OECD Publishing, Paris, France.
 
35
Waid, B. (2018, July). AI-enabled personalization: The new frontier in dynamic pricing. Forbes.
 
36
Brodmerkel, S. (2017, June). Dynamic pricing: Retailers using artificial intelligence to predict top price you’ll pay, ABC News.
 
37
Press, G. (2017). Equifax and SAS leverage AI and deep learning to improve consumer access to credit. Forbes, 20.
 
39
Cappiello, A. (2020). The digital (r)evolution of Insurance Business Models. American Journal of Economics and Business Administration, 12(1), 1–13.
 
40
OECD. (2017). Solution and innovation in the insurance sector. Organization for Economic Cooperation and Development, Paris, France.
 
41
O’Dwyer, R. (2018. May). Algorithms are making the same mistakes assessing credit scores that humans did a century ago. Quartz.
 
42
Rollet, C. (2018, June). The odd reality of life under China’s all-seeing credit score system. Wired.
 
43
Cappiello, A. (2020). The technological disruption of insurance industry: A review. International Journal of Business and Social Science, 11(1).
 
44
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88.
 
45
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88.
 
46
Sayegh, K., & Desoky, M. (2019). Blockchain Application in Insurance and Reinsurance. France: Skema Business School.
 
47
Hurley, M., & Adebayo, J. (2016). Credit scoring in the era of big data. Yale JL & Tech, 18, 148.
 
48
Berg, T., et al. (2018). On the rise of FinTechs – Credit scoring using digital footprints. Michael J. Brennan Irish Finance Working Paper Series Research Paper, 18–12.
 
49
Abdou, D. S. (2019). Using big data to discriminate charged price in the Car Insurance Industry: Evidence from United States. Proceedings of Business and Economic Studies, 2(6).
 
51
The Impact of Digitalization on the Insurance Value Chain. slideheaven.com/the-impact-of-digitalization-on-the-insurance-value-chain-and-the-insurability-o.html. Accessed 12 June 2020.
 
52
Catlin, T., Lorenz, J. T., Nandan, J., Sharma, S., & Waschto, A. (2020). Insurance beyond digital: The rise of ecosystems and platforms. www.​mckinsey.​com/​industries/​financial-services/​our-insights/​insurance-beyond-digital-the-rise-of-ecosystems-and-platforms. Accessed 21 March 2020.
 
Metadata
Title
Artificial Intelligence and Pricing in Banking 5.0
Author
Bernardo Nicoletti
Copyright Year
2021
Book
Banking 5.0

Print ISBN: 978-3-030-75870-7

Electronic ISBN: 978-3-030-75871-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-75871-4_12