人工智能建议对个人投资者决策的影响

Kadir Gokoglan, Huseyin Sevim
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摘要

目的--虽然人工智能技术是一项新技术,但它影响着我们生活的方方面面,找到了一个非常快速的活动领域。人工智能技术在金融领域也显示出了它的作用,可以看到它有很多应用。投资市场有很多选择,要在市场中获利需要很长时间,而且需要一定的知识。人们在投资时不可能掌握所有市场的数据,但技术的发展提供了通过存储每个数据或观察其变化进行投资的机会。本研究旨在探讨人工智能技术对个人投资者决策的影响。研究方法--研究对象包括居住在迪亚巴克尔省并通常进行投资的个人投资者。根据研究范围编制的调查问卷采用面对面调查的方法对 1800 名参与者进行了调查。根据研究范围编写的 22 份陈述适用于参与者。1616 名参与者正确、准确回答的问卷被纳入研究范围。为了确保研究陈述的可靠性,我们计算了 Cronbach's Alpha 值,该值被确定为 91%。经过分析,研究陈述的答案被转入表格。我们尝试对转入的信息进行解释。此外,在分析研究数据时还使用了频数表、t 检验和 anaova 分析。研究结果--人工智能算法是该技术的一种,它能分析市场数据,并通过下达买卖指令使想要投资的投资者在市场上进行交易。因此,人工智能技术通过引导投资者进行投资,使其获得更多利润。结论--因此可以说,参与研究的个人投资者对人工智能技术的了解还不够,但他们对利用人工智能技术进行投资很感兴趣。此外,研究还发现,年龄越大、受教育程度越低、收入水平越高以及已婚的投资者对使用人工智能技术进行投资缺乏安全感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE IMPACT OF ARTIFICIAL INTELLIGENCE RECOMMENDATIONS ON INDIVIDUAL INVESTOR DECISIONS
Purpose- Although artificial intelligence technology is a new technology, it affects every aspect of our lives by finding a very fast field of activity. Artificial intelligence technology, which also shows its effect in the field of finance, is seen to have many applications. There are many alternatives in the investment markets, it will take a long time to make a profit in the markets and a certain amount of knowledge is required. People cannot master the data in all markets when they will invest, but technological developments provide the opportunity to invest by storing each data or observing their changes. This study aims to investigate the effects of artificial intelligence technology on individual investor decisions. Methodology- The study consists of individual investors who live in Diyarbakır province and generally make investments. The questionnaire prepared in accordance with the scope of the study was applied to 1800 participants using face-to-face survey method. The 22 statements prepared in accordance with the scope of the study were applied to the participants. The questionnaires that 1616 participants answered correctly and accurately were included in the scope of the study. In order to ensure the reliability of the study statements, Cronbach's Alpha was calculated and this rate was determined as 91%. The answers given to the study statements were transferred to the tables as a result of the analyses. The transferred information was tried to be interpreted. In addition, frequency tables, t-test and anaova analysis were used in the analysis of the study data. Findings- Thanks to artificial intelligence algorithms, which is one of this technology, it analyses the data in the market and enables the investor who wants to invest to trade in the market by giving buy and sell orders. Thus, artificial intelligence technology allows the investor to make more profitable investments by guiding the investor. Conclusion- As a result, it is possible to say that the individual investors participating in the research do not have sufficient knowledge about artificial intelligence technologies, but they have an interest in investing using artificial intelligence technologies. In addition, it has been determined that the older the age, the lower the education level, the higher the income level and the married investors are insecure about investing using artificial intelligence technology.
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