通过在线趋势和股票价格动态对设计市场信号进行分析研究

Theodoros Daglis
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引用次数: 0

摘要

本研究考察了谷歌Trends对设计中使用的技术进步相关的特定关键词的集体兴趣与设计相关行业主要公司的股票表现之间的关系。具体而言,本文考察了谷歌趋势关键词与设计公司股价之间的因果关系模式,也采用多重分形分析来检验长期关系。结果显示,不同关键词对股价的影响各不相同,其中不可替代代币(NFT)的影响最大,其次是三维(3D)打印和计算机辅助设计,虚拟现实(VR)的影响显著,而人工智能(AI)设计和生成设计的影响最小。结果还揭示了研究变量之间持久的长期关系,具有丰富的多重分形行为,表明复杂的关系,大多是平衡的。这些发现对政策制定者和管理者很重要,需要密切监测,特别是对NFT,并使设计公司根据市场走势调整战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analytical study of design market signals through online trends and stock price dynamics
This study examines the nexus between Google Trends’ collective interest in specific keywords related to technological advancements utilized in design and the stock performance of major companies in design-related sectors. Specifically, the paper examines causality patterns between Google Trends keywords and stock prices of design companies, also employing multi-fractal analysis, to test for long-term relationships. According to the results, varying impacts across keywords on stock prices are identified, with non-fungible token (NFT) exhibiting the greatest influence, followed by three-dimensional (3D) printing and computer-aided design, virtual reality (VR) displays a noteworthy impact, while artificial intelligence (AI) design and generative design indicate the least impact. The results also reveal persistent long-term relationships between the examined variables, with rich multifractal behavior indicating complex relationships, mostly balanced. The findings are important for policymakers and managers, necessitating close monitoring, especially of NFT, and for design companies to align strategies for market movements.
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CiteScore
3.90
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