Behavioral Finance In Investment Decisions

Latifah Wulandari Binti Asbaruna, Ridwan Ismail Gorib, Muhammad Akbar Ali Syifa
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Abstract

Behavioral finance has an important role in finance, namely understanding human behavior, including investor behavior. The type of data used is secondary data, namely data that is not directly given to data collectors, this data is obtained from books, scientific articles and internet sites, materials related to behavioral finance. The data collection technique in this study is a literature study that is directly related to behavioral finance. The method used in this research is the Systematic Literature Review (SLR), where the results of this study try to map the trends that occur regarding behavioral finance, also try to predict where this research will go, so that later it is expected to provide new input and views for the world of behavioral finance, what what needs to be explored at this time, what contributions are needed at this time, and can be an attraction for other researchers to study behavioral finance.
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投资决策中的行为金融学
行为金融学在金融学中具有重要的作用,即理解人类行为,包括投资者行为。使用的数据类型是次要数据,即不直接提供给数据收集者的数据,这些数据来自书籍,科学文章和互联网站点,与行为金融相关的材料。本研究的数据收集技术是一项与行为金融学直接相关的文献研究。本研究中使用的方法是系统文献综述(SLR),这项研究的结果去地图上的什么地方发生对行为金融学的趋势,也试图预测这项研究将去的地方,以便以后它将提供新的输入和视图的行为金融学的世界,此时需要探索,需要什么样的贡献,并且可以吸引了其他研究者研究行为金融学。
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