Research Article
Behaviour Financial Development (Literature Review Based on Connected Papers AI)
@INPROCEEDINGS{10.4108/eai.4-9-2024.2353959, author={Rahmah Dianti Putri and Mahatma Kufepaksi and Sri Hasnawati}, title={Behaviour Financial Development (Literature Review Based on Connected Papers AI)}, proceedings={Proceedings of the 7th International Conference of Economics, Business, and Entrepreneurship, ICEBE 2024, 4-5 September 2024, Shah Alam, Selangor, Malaysia}, publisher={EAI}, proceedings_a={ICEBE}, year={2024}, month={12}, keywords={artificial intelligence behaviour financial connected papers ai investor stocks volatility}, doi={10.4108/eai.4-9-2024.2353959} }- Rahmah Dianti Putri
Mahatma Kufepaksi
Sri Hasnawati
Year: 2024
Behaviour Financial Development (Literature Review Based on Connected Papers AI)
ICEBE
EAI
DOI: 10.4108/eai.4-9-2024.2353959
Abstract
The aim of this research is to analyze the behavior of capital market investors, where initially it was stated that the market is efficient. The method used in this research is a literature review. Literature sources were obtained using Connected papers AI by entering the keyword "Investor Behavior", then several recommendations for paper titles will appear. The author chose the paper title "Investor sentiment in the theoretical field of behavioral finance" as the original paper. Then the linked papers create graphs related to previous research. The authors used articles based on these graphs for this literature review. The results obtained, research about behaviour financial, commonly discuss the topic of investor sentiment related to emotions, beliefs and market perceptions. Apart from that, in all of these studies discussing stock price volatility in the capital market, none has discussed how investor sentiment factors, especially emotional intelligence, influence investors in determining stock price predictions.
