Abstract
Nowadays there is a concern in everyone’s mind regarding the changes that are going to happen very soon or we can say the changes that are already happening in today’s world. Yes, I am talking about the 4th industrial revolution that is going to take place very soon due to which many new jobs will be created whereas, on the other hand many existing jobs will get disappeared. Everyone is talking about Artificial Intelligence and its pros and cons but we wanted to think in other aspects too regarding artificial intelligence. So, in this research paper, we put the spotlight on Application of Artificial Intelligence on Behavioral Finance. By this we not only get to know about artificial intelligence and its merits and demerits but also, get to know about its applications on behavioral finance.
In this paper we tried to explain the meaning of artificial intelligence as well as its advantages and disadvantages and thereafter, the meaning of behavioral finance is considered so as to put clarity over the topic. Artificial intelligence is also known as machine learning as it is related to work which is going to be done by the machines rather than manually by human beings.
Further, we included the interaction of behavioral finance and artificial intelligence (AI) in the future when AI will be full-fledged used for the working and its working for the economy and future developments. With the use of artificial intelligence in behavioral finance, the outcomes will be more accurate as with the use of machines the psychological biasness can be reduced and accuracy will be increased. This paper helps to understand the working of artificial intelligence with behavioral finance and its applications so as to get ready for the future beforehand.
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Singh, G., Garg, V., Tiwari, P. (2020). Application of Artificial Intelligence on Behavioral Finance. In: Castillo, O., Jana, D., Giri, D., Ahmed, A. (eds) Recent Advances in Intelligent Information Systems and Applied Mathematics. ICITAM 2019. Studies in Computational Intelligence, vol 863. Springer, Cham. https://doi.org/10.1007/978-3-030-34152-7_26
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DOI: https://doi.org/10.1007/978-3-030-34152-7_26
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