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№ 8/2018

№ 8/2018

Fìnansi Ukr. 2018 (8): 20–31

MARKET OF FINANCIAL SERVICES

TSYGANOV Sergii , APALKOVA Viktoriia 1

1Kyiv University of Market Relations, Research ID : http://www.researcherid.com/rid/P-7369-2018
OrcID ID : https://orcid.org/0000-0001-5185-7571


Development of artificial intelligence: evolutional processes in the international financial market


The article considers the main drivers for the development of artificial intelligence (AI) in the context of fundamental changes in the international financial market. The authors highlight the key areas for the AI application in the field of finance, in particular, trading, financial analysis, personnel training, customer interaction, security and defense, decision-making at middle and lower management level; risk assessment and compliance. One of the most widespread technologies on the world stock exchanges is currently the algorithmic trading, which has been in use for more than ten years and is steadily gaining in popularity. It is discovered that digital technology of artificial intelligence complements the global financial environment with the functions of a new knowledge transfer, reducing traditional risks, but creating new challenges for effective management. The authors identify the positive and negative consequences of the AI development in the financial sector. It is proved that an increased competition between IT companies (Google, Microsoft, etc.) in the field of financial services leads to the emergence of new business models, the refusal of hierarchy and the automation of making financially important decisions. The introduction of the AI radically changes the company's internal business landscape: a business model, convenience for customers, costs, profitability, and above all competitiveness. The artificial intelligence lays the foundation for the next era of the industrial revolution. The changes will occur not only in the technological provision of investment and financial process but also in the nature of making decisions because they will be taken by machines. Human capital will confront the intensified challenges in the development of financial market ideology and provision of fair distribution.

Keywords:international financial market, artificial intelligence, IT-companies, algorithmic trading

JEL: F39, F42, F43, G15


TSYGANOV S. . Development of artificial intelligence: evolutional processes in the international financial market / S. TSYGANOV, V. Apalkova // Фінанси України. - 2018. - № 8. - C. 20-31.

Article original in Ukrainian (pp. 20 - 31) DownloadDownloads :166
1. Townsend, D. (2018, January 26). Artificial Intelligence: The Next Step in Corporate Governance. Retrieved from blogs.cfainstitute.org/investor/2018/01/26/artificial-intelligence-the-next-step-in-corporate-governance/.
2. Luger, G. F. (2003). Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th ed.). Moscow: ID “Vil`yams” [in Russian].
3. Fethi, M. D., Pasiuouras, F. (2010, July 16). Assessing Bank Efficiency and Performance with Operational Research and Artificial intelligence techniques: A survey. European Journal of Operational Research, Vol. 204, Iss. 2, 189–198.
4. Bahrammirzaee, A. (2010, November). Comparative survey of artificial intelligence applications in finance: artificial neural networks, expert systems and hybrid intelligent systems. Neural Computing and Applications, Vol. 19, Iss. 8, 1165–1195.
5. Turing, A. A. (1950). Computing Machinery and Intelligence. Mind, New Series, Vol. 59, No. 236, 433–460.
6. Statista. (n. d.). Revenues from the artificial intelligence (AI) market worldwide from 2016 to 2025. Retrieved from www.statista.com/statistics/607716/worldwide-artificial-intelligence-market-revenues/.
7. Prospects for using artificial intelligence in banks. (n. d.). InvestorIQ. Retrieved from investoriq.ru/banki/iskusstvennyj-intellekt.html [in Russian].
8. Soliev, R. (2018). The Most Important Trends in Information and Communication Technologies in the Development of a Contemporary Global Economy. Science and Techno­logy, 2 (335).
9. The Future of Algorithmic Trading. (2017, July 24). Experfy. Retrieved from www.experfy.com/blog/the-future-of-algorithmic-trading.
10. Foster, A. (n. d.). How much trading in the stock market is algorithmic trading and how much is non-algorithmic? Retrieved from www.quora.com/How-much-trading-in-the-stock-market-is-algorithmic-trading-and-how-much-is-non-algorithmic.
11. PwC. (n. d.). 2017 Global Innovation 1000 Study. The 10 Most Innovative Companies are named by respondents to the 2017 survey of global innovation experts. Retrieved from www.strategyand.pwc.com/innovation1000.
12. McKinsey&Company. (n. d.). How digital finance could boost growth in emerging economies. Retrieved from www.mckinsey.com/global-themes/employment-and-growth/how-digital-finance-could-boost-growth-in-emerging economies.
13. Samsung will invest $ 1.2 billion in Internet products in the US. (2016, June 22). LIGA Business. Retrieved from biz.liga.net/iot/all/stati/3416669-samsung-investiruet-1-2-mlrd-v-internet-veshchey-v-ssha.htm [in Russian].
14. CBInsights. (2017, January 21). AI 100: The Artificial Intelligence Startups Redefining Industries. Retrieved from www.logsysteam.com/start-up/ai-100-the-artificial-intelligence-startups-redefining-industries.
15. Tsiganov, S. A., Apal`kova, V. V. (2016). Innovative infrastructure development of global market of payment services. Finance of Ukraine, 2, 99–110. Retrieved from nbuv.gov.ua/UJRN/Fu_2016_2_8 [in Ukrainian].
16. The World Bank. (2016). Digital Dividends. World Bank Global Development Report 2016.