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ARTIFICIAL INTELLIGENCE IN THE FINANCIAL MARKET: A TOOL FOR DECISION-MAKING

Year 2025, Volume: 11 Issue: 31, 64 - 71, 19.05.2025
https://doi.org/10.5281/zenodo.15363311

Abstract

Abstract: The integration of AI into financial management is significant because it shifts the focus from simply increasing efficiency to also improving solutions and efficiency in financial analysis, optimization, and streamlining. This research focuses on the impact of AI on a variety of disciplines, including strategic decision-making, fraud detection, and risk management, while also considering practical applications. Acquiring this knowledge is crucial to maintaining business foresight, providing crucial information to financial managers in an ever-evolving landscape. The need to evolve business models and implement AI-enabled systems to process large volumes of data is becoming more relevant. The financial sector is part of the economic system that will impact the transition to the information age. After conducting the research, it can be deduced that despite the benefits associated with AI and intelligent systems, there is still a degree of opposition to their implementation. This resistance is associated with the dangers of AI, as well as the cultural factors that influence corporate behavior. Furthermore, the perception of how AI affects the sector differs significantly depending on the perspective adopted - by those who will directly interact with these tools - versus a strategic perspective.

References

  • ALLAS, T., BUGHIN, J., CHUI, M., DAHLSTRÖM, P., HAZAN, P., HENKE, N., RAMASWAMY, S., & TRENCH, M. McKinsey: Analytics Comes of Age. McKinsey Analytics, January 2018.
  • AMARAL, João J. F. How to Conduct a Bibliographic Research. 2007. Available at: <http://www1.eeg.uminho.pt/economia/caac/pagina%20pessoal/Disciplinas/disciplina s%202009/ecp/ECP%202009/TRABALHOS/bibliografia.pdf>. Accessed on: September 24, 2024.
  • BELANCHE, D., CASALÓ, L. V., & FLAVIÁN, C. Artificial Intelligence in FinTech: Understanding the Adoption of Robo-Advisors among Customers. Industrial Management and Data Systems, 2019.
  • BRANDL, B., & HORNUF, L. Where Did FinTechs Come From and Where Are They Headed? The Transformation of the Financial Sector in Germany after Digitization. SSRN Electronic Journal, 2017.
  • BROCK, J. K. U., & VON WANGENHEIM, F. Demystifying AI: What Digital Transformation Leaders Can Teach You About Realistic Artificial Intelligence. California Management Review, 2019.
  • BUCHANAN, B. G. Artificial Intelligence in Finance. The Alan Turing Institute, 2019.
  • BUGHIN, J., HAZAN, E., RAMASWAMY, S., CHUI, M., ALLAS, T., DAHLSTRÖM, P., HENKE, N., & TRENCH, M. Artificial Intelligence – The Next Digital Frontier? McKinsey Global Institute Discussion Paper, 2017.
  • CAO, L. AI in Finance: A Review. SSRN Electronic Journal, 2020.
  • CATERINA, Aldo. What Are the Activities, Areas, and Roles of the Financial Sector? May 2, 2024. Available at: https://flashapp.com.br/blog/despesas-corporativas/setor-financeiro. Accessed on: October 15, 2024.
  • COPPIN, Ben. Artificial Intelligence. Translated and technically reviewed by Jorge Duarte Pires Valério. Rio de Janeiro: LTC, 2013.
  • COZMAN, Fábio G.; PLONSKI, Guilherme Ary; NERI, Hugo. Et al. Artificial Intelligence: Advances and Trends. University of São Paulo. Institute of Advanced Studies. 2021.
  • DAMACENO, Siuari Santos. Artificial Intelligence: A Brief Approach to Its Real Concept and Popular Understanding. 2018.
  • DE CICCO, R., SILVA, S. C., & ALPARONE, F. R. Millennials’ Attitudes Towards Chatbots: An Experimental Study from the Perspective of Social Relationship. International Journal of Retail & Distribution Management, 2020.
  • DULCE, Ana. Financial Services Lead Digital Transformation in Brazil. PwC, 2023. Available at: https://www.administradores.com.br/noticias/servicos-financeiros-lideram-transformacao-digital-no-brasil-aponta-pwc. Accessed on: November 15, 2024.
  • EQUALS. What Is the Importance of Financial Management and How to Apply It to Business? 2023. Available at: https://equals.com.br/blog/qual-a-importancia-da-gestao-financeira-e-como-aplica-la-ao-negocio. Accessed on: October 15, 2024.
  • FINANCIAL STABILITY BOARD. Artificial Intelligence and Machine Learning in Financial Services – Market Developments and Financial Stability Implications. 2017. Available at: http://www.fsb.org/2017/11/artificial-intelligence-and-machine-learning-in-financial-service/. Accessed on: September 22, 2024.
  • FORNASIER, Mateus de Oliveira. Artificial Intelligence and Democracy: Opportunities and Challenges. 2021.
  • FORNELL, C., & LARCKER, D. F. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 1981.
  • FOUNTAINE, T., MCCARTHY, B., & SALEH, T. Building the AI-Powered Organization. Harvard Business Review, July–August 2019.
  • GOMES, Dennis dos Santos. Artificial Intelligence: Concepts and Applications. Revista Olhar Científico, Vol. 1, No. 2, Aug.–Dec. Rondônia: Faculdades Associadas de Ariquemes, 2010.
  • GÜNGÖR, H. Creating Value with Artificial Intelligence: A Multi-Stakeholder Perspective. Journal of Creating Value, 2020.
  • GUPTA, A. Introduction to Deep Learning: Part 1. Chemical Engineering Progress, Vol. 114, Issue 6, 2018.
  • HADDAD, C., & HORNUF, L. The Emergence of the Global Fintech Market: Economic and Technological Determinants. Small Business Economics, 2019.
  • HAENLEIN, M., & KAPLAN, A. A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 2019.
  • HAIR, J. F., HULT, G. T. M., RINGLE, C. M., & SARSTEDT, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd Edition). Sage, 2017.
  • HALPIN, L., & DANNEMILLER, D. Artificial Intelligence: The Next Frontier for Investment Management Firms. Deloitte, 2019.
  • HENSELER, J., RINGLE, C. M., & SARSTEDT, M. A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 2015.
  • HUANG, M. H., RUST, R., & MAKSIMOVIC, V. The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI). California Management Review, 2019.
  • IANSITI, M., & LAKHANI, K. R. Competing in the Age of AI. Harvard Business Review, January–February 2020.
  • IBM. AI in Financial Services: Applications and Benefits. 2020. Available at: https://www.ibm.com/watson-financial-services/ai-financial-services. Accessed on: October 28, 2024.
  • IDC. Worldwide Spending on AI-Centric Systems Forecast to Reach $154 Billion in 2023, According to New IDC Spending Guide. 2023. Available at: https://www.idc.com/getdoc.jsp?containerId=prUS49665123. Accessed on: November 2, 2024.
  • KRAUS, S., PALAZZO, M., TEBEKA, S., & PALAZZO, L. Artificial Intelligence and Business Ethics: A Literature Review. Technological Forecasting and Social Change, 2020.
  • KUNDRA, V. The Benefits and Risks of Artificial Intelligence in Finance. Journal of Financial Transformation, 2019.
  • LI, S., SPROULL, L., & SUBRAMANI, M. Using the Internet for Survey Research. Communications of the ACM, 2000.
  • MARR, B. The 10 Best Examples of How AI Is Already Used in Our Everyday Life. Forbes, 2019. Available at: https://www.forbes.com/sites/bernardmarr/2019/12/16/the-10-best-examples-of-how-ai-is-already-used-in-our-everyday-life/. Accessed on: October 15, 2024.
  • MARX, W. A. The Artificial Intelligence in Financial Market Operations. Journal of Financial Economics, 2019.
  • MCAFEE, A., & BRYNJOLFSSON, E. Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company, 2017.
  • MELLO, Fábio. Artificial Intelligence: What It Is and How It Works. 2021. Available at: https://www.tecmundo.com.br/software/204679-inteligencia-artificial-entenda-como-funciona.htm. Accessed on: November 5, 2024.
  • MIN, H. Artificial Intelligence in Supply Chain Management: Theory and Applications. International Journal of Logistics Research and Applications, 2019.
  • MIRON, D. I., & DE TONI, D. Understanding Artificial Intelligence Through Historical and Theoretical Foundations. Encontros Bibli: Revista Eletrônica de Biblioteconomia e Ciência da Informação, Florianópolis, v. 25, 2020.
  • MISHRA, A., & METI, A. An Overview of the Evolution of Artificial Intelligence. International Journal of Engineering and Technical Research, 2019.
  • MIT SLOAN MANAGEMENT REVIEW. Artificial Intelligence and the Future of Work. 2020. Available at: https://sloanreview.mit.edu/article/artificial-intelligence-and-the-future-of-work/. Accessed on: October 22, 2024.
  • MOURA, Leandro de. The Evolution of Artificial Intelligence in Brazil and the World: Opportunities and Challenges. 2020.
  • NAKASHIMA, Junko; BRITO, Silvana de B. A.; FERREIRA, Luiz A. S. Artificial Intelligence Applied to Public Management: An Integrative Review. Journal of Public Administration and Governance, 2023.
  • NEIVA, Érica; AMORIM, C. T. Artificial Intelligence in Financial Institutions: Applications and Regulatory Challenges. Journal of Banking and Finance, 2022.
  • NEVES, Marcos L. Digital Transformation in the Financial Sector: A Case Study of Brazilian Banks. 2021.
  • NGUYEN, T., & TRAN, H. Applications of Machine Learning in Financial Risk Management: A Review. Journal of Risk and Financial Management, 2020.
  • OECD. Artificial Intelligence in Society. OECD Publishing, Paris, 2019.
  • PEREIRA, Daniel. AI in Brazilian Banking: Trends and Prospects. 2024.
  • PIRES, Lucas; CARVALHO, Aline; MENEZES, Ricardo. Impacts of AI on the Labor Market: What to Expect in the Coming Years? Revista de Economia Contemporânea, 2023.
  • PORTER, M. E., & HEPPELMANN, J. E. How Smart, Connected Products Are Transforming Competition. Harvard Business Review, 2014.
  • RAI, A. Explainable AI in the Financial Sector. Journal of the Academy of Marketing Science, 2020.
  • RAMOS, Beatriz. The Role of AI in Financial Decision Making. Revista de Administração da FGV, 2022.
  • REIS, Rodrigo T.; LIMA, Felipe S.; AZEVEDO, Carlos A. Chatbots and Customer Service in Banks: Perceptions and Realities. Revista Brasileira de Marketing, 2023.
There are 54 citations in total.

Details

Primary Language English
Subjects Computational Linguistics
Journal Section Articles
Authors

Antonio Pereira Santos

Matheus Brito Meira

Leila Buarque Couto De Matos

Elber Ribeiro Gama

Mário Jorge Campos Dos Santos

Early Pub Date May 9, 2025
Publication Date May 19, 2025
Submission Date April 7, 2025
Acceptance Date May 1, 2025
Published in Issue Year 2025Volume: 11 Issue: 31

Cite

EndNote Pereira Santos A, Meira MB, De Matos LBC, Ribeiro Gama E, Dos Santos MJC (May 1, 2025) ARTIFICIAL INTELLIGENCE IN THE FINANCIAL MARKET: A TOOL FOR DECISION-MAKING. IJASOS- International E-journal of Advances in Social Sciences 11 31 64–71.

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