Why Students Trade? The Analysis of Young Investors behavior
원문 초록
Interestingly the numbers of young traders in Jakarta Stock Exchange had been increasing in recent years. Even in the middle of the global crisis caused by covid19 pandemic, in December 2021 according to KSEI, Individual investors were dominated by young investors. Data presented by KSEI showed that 60 percent of the investors listed in Indonesian Stock Exchange were young investors. Other data shows that 28 percent of the investors listed were shockingly students. It was interesting to study the behavior of young and Rookie investors at the branch of stock market in Manado State University. Basically, they varied in how to make decision to trade on the stock exchange. The problems were discussed by qualitative approach. Descriptive analysis was conducted prior to interviews. Data will be collected through data observation techniques and interviews. The study succeeded in investigating the investment behavior of young or Rookie investors at Manado State University in accordance with investment decision making and the perception of behavioral control. The perception of behavioral control greatly influenced investors decision making. Students were greatly influenced by lecturer, friends and more experienced investors. The results of the interview provide information that before they determine their behavior, first they do stock analysis, both technical and fundamental analysis. These facts shows that students investors were well literate.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
Describe Anything Model for Visual Question Answering on Text-rich Images
Assay2Mol: large language model-based drug design using BioAssay context
Guiding LLM Decision-Making with Fairness Reward Models
InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems
토론
이 논문과 연결된 포럼 글이 아직 없습니다.