Anis Benabed – Doctoral School of Economics and International Business, Bucharest University of Economic Studies, 6 Romana square, Bucharest, Romania
Andreea Boeru – Doctoral School of Economics and International Business, Bucharest University of Economic Studies, 6 Romana square, Bucharest, Romania
Keywords:
Globalization;
Stock market;
Artificial intelligence;
Impact;
Challenging business;
Business opportunities
Abstract
This paper presents and describes the globalization-influenced stock market and business trends. Globalization introduces profound changes and challenges in development conditions. This pattern is maniยญfested in the economic and business spheres. Indeed, Globalization dictates its laws, one of its fundamental characteristics is the internationalization of production, financial markets and the free movement of capital across naยญtional borders.
As a methodology for this study, we reviewed the existing literature, which was the first step in our research and focused on data analysis as well. The results show that since artificial intelligence, businesses and the stock marยญket are phenomena, elements and some of the results of Globalization, we found out that all of them are connected, especially after the appearance and integration of digitalization that facilitates more opportunities beยญtween the traders and the stock market.
The conclusions show that in stages of globalization, the growth of artificial intelligence and other forms of automated technology are necessary for the stock market. Artificial intelligence is necessary for business operations and trade opportunities, on the other hand by using it more it becomes more inยญtelligent. All this is important for the Stock market because globalizing the stock market needs artificial intelligence (AI), business opportunities and opยญerations that are challenging from one market to another.
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LIMEN Conference
8th International Scientific-Business Conference – LIMEN 2022 – Leadership, Innovation, Management and Economics: Integrated Politics of Research – CONFERENCE PROCEEDINGS, Hybrid (EXE Budapest Center, Budapest, Hungary), December 1, 2022,
LIMEN Conference proceedings published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia
LIMEN Conference 2022 Conference proceedings: ISBN 978-86-80194-66-0, ISSN 2683-6149, DOI:ย https://doi.org/10.31410/LIMEN.2022
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Suggested citation
Benabed, A., & Boeru, A. (2022). Globalization of the Stock Market and the Impact of Artificial Intelligence on Challenging Businesses. In V. Bevanda (Ed.), International Scientific-Business Conference โ LIMEN 2022: Vol 8. Conference proceedingsย (p. 1-9). Association of Economists and Managers of the Balkans.ย https://doi.org/10.31410/LIMEN.2022.1
References
Bhoocha-oom, A., & Stansell, S. R. (1990). A STUDY OF INTERNATIONAL FINANCIAL MARKET INTEGRATION: AN EXAMINATION OF THE U.S., HONG KONG AND SINGAPORE MARKETS. Journal of Business Finance & Accounting, 17(2), 193-211. https://doi.org/10.1111/j.1468-5957.1990.tb00557.x
Dagnaw, G. (2020). Artificial Intelligence Towards Future Industrial Opportunities and Challenges. African Conference on Information Systems and Technology, 16th ser. https://digitalcommons.kennesaw.edu/acist/2020/allpapers/16
Davenport, T. H., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review https://www.bizjournals.com/boston/news/2018/01/09/hbr-artificial-in- telligence-for-the-real-world.html
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2021). Artificial Intelligence and Business Value: A literature review. Information Systems Frontiers, 24(5), 1709-1734. doi:10.1007/s10796-021-10186-w
Ferreira, F. G., Gandhi, A. H., & Cardoso, R. T. (2021). Artificial Intelligence Applied to Stock Market Trading: A Review. IEEE Access, 30898-30917. https://doi.org/10.1109/ ACCESS.2021.3058133
Gonzales, M. D, R., & Hargreaves, C. A. (2022). How can we use Artificial Intelligence for Stock Recommendation and risk management? A proposed decision support system. In- ternational Journal of Information Management Data Insights, 2(2), 100130. https://doi.org/10.1016/j.jjimei.2022.100130
Harkut, G. D., & Kasat, K. (2019). Introductory Chapter: Artificial Intelligence – Challenges and Applications. Artificial Intelligence – Scope and Limitations. doi:10.5772/intechopen.84624 Mohapatra, B. N., Nagargoje, B., Zurunge, P., & More, S. (2021). Artificial Intelligence in stock market investment. Journal of Engineering Science, 28(3), 96-100. https://doi.org/10.52326/jes.utm.2021.28(3).08
Wilson, H. J., & Daugherty, P. R. (2018). Human + Machine: Reimagining Work in the Age of AI. Boston, MA: Harvard Business Review Press.
ย Additional reading
Blackman, S. C., Holden, K. & Thomas, W. A. (1994). โLong-term relationship between inter- national share pricesโ, Applied Economics, Vol. 4, pp. 297-304.
Brendel, A. B., Mirbabaie, M., Lembcke, T., & Hofeditz, L. (2021). Ethical management of arti- ficial intelligence. Sustainability, 13(4), 1974. https://doi.org/10.3390/su13041974
Brynjolfsson, A & McAfee, A (2017). Whatโs Driving the Machine Learning Explosion? Three factors make this AIโs moment. Harvard Business Review Digital Articles.
Chalmers, D., MacKenzie, N. G., & Carter, S. (2021). โArtificial Intelligence and Entrepreneur- ship: Implications for Venture Creation in the Fourth Industrial Revolutionโ, Entrepreneur- ship Theory and Practice, 45(5), pp. 1028โ1053. https://doi.org/10.1177/1042258720934581.
Chan, K. C., Gup, B. E. & Pan, M. S. (1992). โAn empirical analysis of stock prices in major Asian markets and the United Statesโ, The Financial Review, Vol. 27, pp. 289-307.
Cheung, Y. & Mak, S. (1992). โThe international transmission of stock market fluctuation be- tween the developed markets and the Asian-Pacific marketsโ, Applied Financial Econom- ics, Vol. 2, pp. 43-7.
Coleman, M. (1990), โCointegration-based tests of daily foreign exchange market efficiencyโ, Economic Letters, Vol. 32, pp. 53-9.
Dash, R., McMurtrey, M., Rebman, C., & Kar, U. K. (2019). Application of artificial intelligence in automation of Supply Chain Management. Journal of Strategic Innovation and Sustain- ability, 14(3). https://doi.org/10.33423/jsis.v14i3.2105
Jorion, P. & Schwartz, E. (1986). โIntegration versus segregation in the Canadian stock marketโ, Journal of Finance, Vol. XLI, pp. 603-16.
Joshi, R. M. (2009). International business. New Delhi: Oxford University Press. ISBN 978- 0-19-568909-9. “Globalized economy making water, energy and land insecurity worse: study”.
Neal, L. (2005). “Venture Shares of the Dutch East India Company”, in Goetzmann & Rouwen- horst (eds.), Oxford University Press, 2005, pp. 165โ175
Puaschunder, J. M. (n.d.) โArtificial Intelligence Market Disruptionโ, p. 7.
Schneider, J., Abraham, R., Meske, C., & Vom Brocke, J. (2022). โArtificial Intelligence Gov- ernance For Businessesโ, Information Systems Management, pp. 1โ21: https://doi.org/10.1 080/10580530.2022.2085825