金融知识和风险认知,最大限度地优化加密资产投资决策

I. M. Sumitra, I. M. Suidarma, Masno Masno, Tri Darsono, I. Gede, Indra Pratama
{"title":"金融知识和风险认知,最大限度地优化加密资产投资决策","authors":"I. M. Sumitra, I. M. Suidarma, Masno Masno, Tri Darsono, I. Gede, Indra Pratama","doi":"10.18502/kss.v9i19.16525","DOIUrl":null,"url":null,"abstract":"This study aims to improve investment decisions in crypto assets by optimizing the integration of financial literacy and risk perception through behavioral finance, emphasizing an in-depth understanding of the psychological and behavioral factors that influence financial decision-making. This study used a quantitative approach with primary data sourced from online questionnaires distributed via the Google Forms platform. The Slovin technique was used for sampling, resulting in a sample of 300 respondents. The analysis technique used by SEM-PLS is the Structural Equation Model Partial Least Square with the help of the SmartPLS program. The research was conducted at PT Indodax Nasional Indonesia or “INDODAX – Indonesia Bitcoin & Crypto Exchange”. The results find that the integration of financial literacy, understanding of risk through behavioral finance, and the use of technology can significantly improve investment decisions in crypto assets. This research provides in-depth insights into the relationship between financial literacy, risk perception, and investment decisionmaking in crypto assets. The theoretical implications of the study confirm that financial literacy, understanding of risk, and related education contribute to improving optimal investment decisions in crypto assets as well as shaping financial behavior. The practical implication is the need for financial organizations and educational institutions to focus on financial literacy education and risk perception training to support optimal investment decision-making in crypto assets. \nKeywords: financial literacy-1, risk perception-2, behavioral finance-3","PeriodicalId":17820,"journal":{"name":"KnE Social Sciences","volume":" 21","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Financial Literacy and Risk Perception to Maximize Crypto Asset Investment Decisions\",\"authors\":\"I. M. Sumitra, I. M. Suidarma, Masno Masno, Tri Darsono, I. Gede, Indra Pratama\",\"doi\":\"10.18502/kss.v9i19.16525\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to improve investment decisions in crypto assets by optimizing the integration of financial literacy and risk perception through behavioral finance, emphasizing an in-depth understanding of the psychological and behavioral factors that influence financial decision-making. This study used a quantitative approach with primary data sourced from online questionnaires distributed via the Google Forms platform. The Slovin technique was used for sampling, resulting in a sample of 300 respondents. The analysis technique used by SEM-PLS is the Structural Equation Model Partial Least Square with the help of the SmartPLS program. The research was conducted at PT Indodax Nasional Indonesia or “INDODAX – Indonesia Bitcoin & Crypto Exchange”. The results find that the integration of financial literacy, understanding of risk through behavioral finance, and the use of technology can significantly improve investment decisions in crypto assets. This research provides in-depth insights into the relationship between financial literacy, risk perception, and investment decisionmaking in crypto assets. The theoretical implications of the study confirm that financial literacy, understanding of risk, and related education contribute to improving optimal investment decisions in crypto assets as well as shaping financial behavior. The practical implication is the need for financial organizations and educational institutions to focus on financial literacy education and risk perception training to support optimal investment decision-making in crypto assets. \\nKeywords: financial literacy-1, risk perception-2, behavioral finance-3\",\"PeriodicalId\":17820,\"journal\":{\"name\":\"KnE Social Sciences\",\"volume\":\" 21\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"KnE Social Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18502/kss.v9i19.16525\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"KnE Social Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18502/kss.v9i19.16525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究旨在通过行为金融学优化整合金融知识和风险认知,强调深入了解影响金融决策的心理和行为因素,从而改进加密资产的投资决策。本研究采用定量方法,主要数据来源于通过谷歌表单平台发放的在线问卷。采用斯洛文技术进行抽样,得到 300 个受访者样本。在 SmartPLS 程序的帮助下,SEM-PLS 使用的分析技术是结构方程模型部分最小二乘法。研究在 PT Indodax Nasional Indonesia 或 "INDODAX - Indonesia Bitcoin & Crypto Exchange "进行。研究结果发现,将金融知识、通过行为金融学对风险的理解以及技术的使用结合起来,可以显著改善加密资产的投资决策。这项研究深入揭示了金融知识、风险认知和加密资产投资决策之间的关系。研究的理论意义证实,金融素养、对风险的理解和相关教育有助于改善加密资产的最佳投资决策,并塑造金融行为。其实践意义在于,金融组织和教育机构需要重视金融素养教育和风险认知培训,以支持加密资产的最优投资决策。关键词:金融素养-1;风险认知-2;行为金融学-3
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Financial Literacy and Risk Perception to Maximize Crypto Asset Investment Decisions
This study aims to improve investment decisions in crypto assets by optimizing the integration of financial literacy and risk perception through behavioral finance, emphasizing an in-depth understanding of the psychological and behavioral factors that influence financial decision-making. This study used a quantitative approach with primary data sourced from online questionnaires distributed via the Google Forms platform. The Slovin technique was used for sampling, resulting in a sample of 300 respondents. The analysis technique used by SEM-PLS is the Structural Equation Model Partial Least Square with the help of the SmartPLS program. The research was conducted at PT Indodax Nasional Indonesia or “INDODAX – Indonesia Bitcoin & Crypto Exchange”. The results find that the integration of financial literacy, understanding of risk through behavioral finance, and the use of technology can significantly improve investment decisions in crypto assets. This research provides in-depth insights into the relationship between financial literacy, risk perception, and investment decisionmaking in crypto assets. The theoretical implications of the study confirm that financial literacy, understanding of risk, and related education contribute to improving optimal investment decisions in crypto assets as well as shaping financial behavior. The practical implication is the need for financial organizations and educational institutions to focus on financial literacy education and risk perception training to support optimal investment decision-making in crypto assets. Keywords: financial literacy-1, risk perception-2, behavioral finance-3
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Unlocking Profitability Potential: Investigating the Impact of Social Responsibility, Financial Disclosure, and Good Governance in Islamic Banking in Indonesia Impact of Transportation Network Companies on Conventional Taxi Companies in Indonesia How Public and Private Investment Reduces Poverty: A Case Study of Provinces with Nickel Production in Indonesia Analysis of Customer Satisfaction of Saung Wulan Restaurant Using SERVQUAL Method, Importance Performance Analysis (IPA) and Gap Analysis Development of Sustainability in Accounting - Cognitive and Conceptual Approaches
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1