Challoumis, Constantinos (2025): The Impact of Artificial Intelligence Tools on Maximizing Returns in Equity Investment Decisions.
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Abstract
Investment in equity, the largest financial market with over 116 million active investors, play an essential role in wealth generation and management. The secret of success in investment lies in harvesting profits from market fluctuations. Sounds simple, right? Actually, it is very challenging. The honest investor seeks and analyses many numbers of stocks everyday, decide to buy(sell) for some of them and ultimately for how many shares. Certainly, he doesn’t hold bought securities for a considerably long time after transaction.
Item Type: | MPRA Paper |
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Original Title: | The Impact of Artificial Intelligence Tools on Maximizing Returns in Equity Investment Decisions |
Language: | English |
Keywords: | impact, AI, maximizing returns, equity, investment decisions |
Subjects: | E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy Z - Other Special Topics > Z0 - General Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z13 - Economic Sociology ; Economic Anthropology ; Social and Economic Stratification |
Item ID: | 123922 |
Depositing User: | constantinos challoumis |
Date Deposited: | 10 Mar 2025 08:34 |
Last Modified: | 10 Mar 2025 08:34 |
References: | Sutiene, K., Schwendner, P., Sipos, C., Lorenzo, L., Mirchev, M., Lameski, P., Kabasinskas, A., Tidjani, C., Ozturkkal, B., & Cerneviciene, J., 2024.Enhancing portfolio management using artificial intelligence: literature review. Buczynski, W., Cuzzolin, F., & Sahakian, B., 2021. A review of machine learning experiments in equity investment decision-making: why most published research findings do not live up to their promise in real life. Brozović, V., 2019. PRIMJENA UMJETNE INTELIGENCIJE U SEKTORU INVESTICIJSKIH FONDOVA. Kumar Padhi, D., Padhy, N., Kumar Bhoi, A., Shafi, J., & Hassen Yesuf, S., 2022. An Intelligent Fusion Model with Portfolio Selection and Machine Learning for Stock Market Prediction. Abe, M. & Nakagawa, K., 2020. Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management. Hakala, K., 2019. Robo-advisors as a form of artificial intelligence in private customers’ investment advisory services. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/123922 |