ARTIFICIAL INTELLIGENCE TOOLS IN INVESTMENT DECISION-MAKING: PROSPECTS AND RISKS FOR UZBEKISTAN'S FINANCIAL MARKET
DOI:
https://doi.org/10.60078/2026-vol5-iss2-pp241-244Abstract
This paper examines the role of artificial intelligence (AI) tools in modern investment decision-making. The study analyzes key AI methodologies — machine learning, deep learning, and natural language processing — and their practical applications in global financial markets. The prospects and risks of AI adoption for Uzbekistan's developing financial market are assessed in light of the "Uzbekistan–2030" Strategy, with policy recommendations presented for financial regulators and market participants.
References
Marketsand Markets. Artificial Intelligence in Fintech Market – Global Forecast to 2030. MarketsandMarkets Research, 2023.
Hastie, T., Tibshirani, R., & Friedman, J. The Elements of Statistical Learning (2nd ed.). Springer, 2009.
Vaswani, A., et al. Attention Is All You Need. Advances in Neural Information Processing Systems, 30, 5998–6008, 2017.
Loughran, T., & McDonald, B. Textual Analysis in Accounting and Finance: A Survey. Journal of Accounting Research, 54(4), 1187–1230, 2016.
Cao, L. AI in Finance: Challenges, Techniques and Opportunities. ACM Computing Surveys, 55(3), 1–38, 2022.
Agency for the Development of the Capital Market of the Republic of Uzbekistan. Annual Report on the Development of the Financial Market. Tashkent, 2024.
Kirilenko, A., Kyle, A.S., Samadi, M., & Tuzun, T. The Flash Crash. The Journal of Finance, 72(3), 967–998, 2017.
Bookstaber, R. A Demon of Our Own Design. John Wiley & Sons, 2007.
Ahmedov, B. Digital Transformation of the Financial Sector of Uzbekistan. Iqtisodiy taraqqiyot va tahlil, 2(1), 14–22, 2024.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
