, Master of Economics, Lecturer at Faculty of Biotechnology in Zagreb; Faculty of Economics and Tourism, University of J. Dobrila in Pula, Croatia.
The present article is conceptual research as a documented importance of artificial intelligence as a transformational approach to the financial sector based on technological innovations as platforms in the development of the financial sector through the full introduction of the electronic market for algorithmic trading and high-frequency trading.
Artificial neural networks (neurons configured to perform certain tasks) are biologically inspired simulations to perform certain tasks such as clustering, classification, sample recognition. Neural networks cover all aspects of financial and investment decision making.
Research shows a strong role of artificial intelligence in making financial decisions in the real world: looking at neurological decision making as a difference in response frequencies ranging from real to hypothetical environment, pointing to the difficulties people have to imitate financial decisions in real situations when asked under hypothetical circumstances.
Artificial Intelligence is an interdisciplinary area that traces the transformational aspects of the financial global sector.
Keywords: Artificial intelligence, Neural networks, Decision neurology, High-frequency trading.
JEL Classification: D8, D89, O31.
Cite as: An. Njegovanović. (2018). Artificial Intelligence: Financial Trading and Neurology of Decision. Financial Markets, Institutions and Risks, 2(2), 58-68. DOI: 10.21272/fmir.2(2).58-68.2018
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