Artificial Intelligence in Behavioral Finance for Investment Decision-making

Artificial Intelligence in Behavioral Finance for Investment Decision-making

Copyright: © 2023 |Pages: 19
DOI: 10.4018/979-8-3693-0418-1.ch013
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Abstract

This chapter talks about how artificial intelligence has evolved into the minds of investors. Owing to the transformation in technology, machines have become increasingly capable. This will help to predict market movements using the behavioral aspect of the investors. There are also challenges in using AI in behavioral finance, such as the need for high-quality data, the potential for bias in AI algorithms themselves, and ethical considerations around using AI to make investment decisions. How these challenges will have an impact on investment decision-making is also discussed in this chapter. Further, the chapter talks about the interaction of behavioral finance and artificial intelligence and in turn enabling investors to be future-ready with fewer biases and efficient decision-making.
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2. Artificial Intelligence In Finance

To understand artificial intelligence, there are a few prerequisites like discussing human intelligence, though the same is itself debatable in psychology (Conway & Kovacs, 2015). Despite the difficulty of describing and measuring human intelligence, the main thing is that AI seeks to mimic some features of social intellect like emotions, learning, inventiveness, self-awareness, language, problem-solving, cognitive thinking, or tactics (Russell & Norvig, 2010).

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