Evaluating short- and long-term investment strategies: development and validation of the investment strategies scale (ISS)

IF 6.9 1区 经济学 Q1 BUSINESS, FINANCE Financial Innovation Pub Date : 2024-02-19 DOI:10.1186/s40854-023-00573-4
Ibrahim Arpaci, Omer Aslan, Mustafa Kevser
{"title":"Evaluating short- and long-term investment strategies: development and validation of the investment strategies scale (ISS)","authors":"Ibrahim Arpaci, Omer Aslan, Mustafa Kevser","doi":"10.1186/s40854-023-00573-4","DOIUrl":null,"url":null,"abstract":"In response to the growing importance of understanding individual investment strategies, the present study aimed to develop a new scale for measuring both the short- and long-term investment strategies of individuals. The study assessed the psychometric properties of the investment strategies scale (ISS) using data collected from 1428 individual investors. In the initial study, an exploratory factor analysis (EFA) was conducted to investigate the factor structure of the proposed scale (N = 700). The EFA results yielded a two-factor structure, and Cronbach’s alpha values for short- and long-term investment strategies were 0.90 and 0.88, respectively. A confirmatory factor analysis was performed to validate the factor structure of the scale in the second study (N = 728). The results demonstrated that the two-factor model fit the data well. In the third study, the correlation between Hofstede’s long-term orientation and the two dimensions of the scale was investigated. The results indicated that long-term investment strategies significantly predict long-term orientation, thus confirming the concurrent validity of the scale. These findings demonstrate that the proposed ISS is a reliable and valid instrument for measuring individuals’ short- and long-term investment strategies, contributing to a deeper understanding of investment decision-making processes. This study introduces a novel measurement tool—ISS—specifically designed to comprehensively assess both short- and long-term investment strategies among individual investors.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":"30 1","pages":""},"PeriodicalIF":6.9000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Innovation","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1186/s40854-023-00573-4","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

Abstract

In response to the growing importance of understanding individual investment strategies, the present study aimed to develop a new scale for measuring both the short- and long-term investment strategies of individuals. The study assessed the psychometric properties of the investment strategies scale (ISS) using data collected from 1428 individual investors. In the initial study, an exploratory factor analysis (EFA) was conducted to investigate the factor structure of the proposed scale (N = 700). The EFA results yielded a two-factor structure, and Cronbach’s alpha values for short- and long-term investment strategies were 0.90 and 0.88, respectively. A confirmatory factor analysis was performed to validate the factor structure of the scale in the second study (N = 728). The results demonstrated that the two-factor model fit the data well. In the third study, the correlation between Hofstede’s long-term orientation and the two dimensions of the scale was investigated. The results indicated that long-term investment strategies significantly predict long-term orientation, thus confirming the concurrent validity of the scale. These findings demonstrate that the proposed ISS is a reliable and valid instrument for measuring individuals’ short- and long-term investment strategies, contributing to a deeper understanding of investment decision-making processes. This study introduces a novel measurement tool—ISS—specifically designed to comprehensively assess both short- and long-term investment strategies among individual investors.
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
评估短期和长期投资战略:制定和验证投资战略量表(ISS)
鉴于了解个人投资策略日益重要,本研究旨在开发一种新的量表,用于测量个人的短期和长期投资策略。本研究利用从 1428 名个人投资者那里收集到的数据,对投资策略量表(ISS)的心理测量特性进行了评估。在初步研究中,进行了探索性因子分析(EFA),以调查拟议量表的因子结构(N = 700)。EFA 结果显示量表具有双因子结构,短期投资策略和长期投资策略的 Cronbach's Alpha 值分别为 0.90 和 0.88。在第二次研究(样本数=728)中,我们进行了确认性因子分析,以验证量表的因子结构。结果表明,双因子模型很好地拟合了数据。在第三项研究中,调查了霍夫斯泰德的长期取向与量表两个维度之间的相关性。结果表明,长期投资战略能显著预测长期取向,从而证实了量表的并行有效性。这些研究结果表明,拟议的国际投资策略量表是测量个人短期和长期投资策略的可靠而有效的工具,有助于加深对投资决策过程的理解。本研究引入了一种新型测量工具--ISS,专门用于全面评估个人投资者的短期和长期投资策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Financial Innovation
Financial Innovation Economics, Econometrics and Finance-Finance
CiteScore
11.40
自引率
11.90%
发文量
95
审稿时长
5 weeks
期刊介绍: Financial Innovation (FIN), a Springer OA journal sponsored by Southwestern University of Finance and Economics, serves as a global academic platform for sharing research findings in all aspects of financial innovation during the electronic business era. It facilitates interactions among researchers, policymakers, and practitioners, focusing on new financial instruments, technologies, markets, and institutions. Emphasizing emerging financial products enabled by disruptive technologies, FIN publishes high-quality academic and practical papers. The journal is peer-reviewed, indexed in SSCI, Scopus, Google Scholar, CNKI, CQVIP, and more.
期刊最新文献
Machine learning in business and finance: a literature review and research opportunities Predictive crypto-asset automated market maker architecture for decentralized finance using deep reinforcement learning Cryptocurrencies under climate shocks: a dynamic network analysis of extreme risk spillovers Exploring the coherency and predictability between the stocks of artificial intelligence and energy corporations From CFOs to crypto: exploratory study unraveling factors in corporate adoption
×
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