AI micro-decisions in FinTechs: a mixed method research design

Issa, Helmi; Jabbouri, Rachid; Mehanna, Rock-Antoine

doi:10.1108/md-10-2022-1336

Cited by 2 publications

(1 citation statement)

References 101 publications

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“…In the context of FinTech, the combination of financial services with advanced technologies and algorithms, including AI, has led to the emergence of FinTech companies that leverage AI for micro-decisions and financial services (Issa, 2023). The complexity of embedding AI into service exchanges encourages cooperation between traditional banking organizations and tech-savvy FinTech companies, highlighting the need for a collaborative ecosystem (Payne et al, 2021).…”

Section: Synergy Of Fintech Ai and Cybersecuritymentioning

confidence: 99%

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Chinwe Chinazo Okoye,

Ekene Ezinwa Nwankwo,

Favour Oluwadamilare Usman

et al. 2024

Int. J. Sci. Res. Arch.

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The economic landscape of Africa is evolving rapidly, and the role of Small and Medium Enterprises (SMEs) is increasingly recognized as a key driver of sustainable development. This review explores the potential of leveraging Financial Technology (FinTech), Artificial Intelligence (AI), and Cybersecurity to accelerate SME growth in the African context, ultimately contributing to economic prosperity. In recent years, FinTech has gained prominence for its ability to revolutionize financial services. By facilitating seamless transactions, enhancing access to capital, and streamlining financial processes, FinTech presents a significant opportunity for SMEs in Africa to overcome traditional barriers to growth. The integration of AI technologies further amplifies this potential, enabling SMEs to harness data-driven insights for informed decision-making, operational efficiency, and personalized customer experiences. However, the adoption of FinTech and AI in the African SME sector necessitates robust cybersecurity measures. As digital transformation accelerates, the risk of cyber threats becomes more pronounced. Addressing these challenges requires a strategic approach to cybersecurity, encompassing robust data protection, threat intelligence, and resilient infrastructure. This review underscores the importance of a holistic approach, wherein the synergy between FinTech, AI, and Cybersecurity becomes a catalyst for economic prosperity. Policymakers, financial institutions, and technology providers must collaborate to create an enabling environment that fosters innovation, supports digital literacy, and ensures the security of digital ecosystems. By embracing this technological trifecta, African SMEs can navigate the complexities of the modern business landscape, foster innovation, and contribute significantly to job creation and economic growth. As Africa positions itself on the global stage, the strategic utilization of FinTech, AI, and Cybersecurity emerges as a pivotal driver for unlocking the full potential of SMEs and propelling the continent toward sustained economic prosperity.

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Section: Synergy Of Fintech Ai and Cybersecuritymentioning

confidence: 99%

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Chinwe Chinazo Okoye,

Ekene Ezinwa Nwankwo,

Favour Oluwadamilare Usman

et al. 2024

Int. J. Sci. Res. Arch.

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The role of artificial intelligence in the decision-making process: a study on the financial analysis and movement forecasting of the world’s largest stock exchanges

Alex Avelar,

Jordão

2024

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PurposeThis paper aims to analyze the role and performance of different artificial intelligence (AI) algorithms in forecasting future movements in the main indices of the world’s largest stock exchanges.Design/methodology/approachDrawing on finance-based theory, an empirical and experimental study was carried out using four AI-based models. The investigation comprised training, testing and analysis of model performance using accuracy metrics and F1-Score on data from 34 indices, using 9 technical indicators, descriptive statistics, Shapiro–Wilk, Student’s t and Mann–Whitney and Spearman correlation coefficient tests.FindingsAll AI-based models performed better than the markets' return expectations, thereby supporting financial, strategic and organizational decisions. The number of days used to calculate the technical indicators enabled the development of models with better performance. Those based on the random forest algorithm present better results than other AI algorithms, regardless of the performance metric adopted.Research limitations/implicationsThe study expands knowledge on the topic and provides robust evidence on the role of AI in financial analysis and decision-making, as well as in predicting the movements of the largest stock exchanges in the world. This brings theoretical, strategic and managerial contributions, enabling the discussion of efficient market hypothesis (EMH) in a complex economic reality – in which the use of automation and application of AI has been expanded, opening new avenues of future investigation and the extensive use of technical analysis as support for decisions and machine learning.Practical implicationsThe AI algorithms' flexibility to determine their parameters and the window for measuring and estimating technical indicators provide contextually adjusted models that can entail the best possible performance. This expands the informational and decision-making capacity of investors, managers, controllers, market analysts and other economic agents while emphasizing the role of AI algorithms in improving resource allocation in the financial and capital markets.Originality/valueThe originality and value of the research come from the methodology and systematic testing of the EMH through the main indices of the world’s largest stock exchanges – something still unprecedented despite being widely expected by scholars and the market.

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AI micro-decisions in FinTechs: a mixed method research design

Cited by 2 publications

References 101 publications

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

The role of artificial intelligence in the decision-making process: a study on the financial analysis and movement forecasting of the world’s largest stock exchanges

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