Testing for Herding in Artificial Intelligence-Themed Cryptocurrencies Following the Launch of ChatGPT

Antonis Ballis, Dimitris Anastasiou
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Abstract

This article aims to investigate the presence of herding behavior in artificial intelligence (AI)–themed cryptocurrencies following the launch of ChatGPT. The authors analyze daily data from major AI-themed cryptocurrencies between November 2022 and February 2023. This study finds evidence of irrationality among investors in this market segment who tend to imitate others’ decisions regardless of their own beliefs during down events. The authors connect this finding to the herding theory in financial economics and highlight the implications for investors and policymakers. This article contributes to the literature on the impact of AI on financial markets and suggests the need for further research in this area. Finally, this study provides important policy implications, as it could help investors better understand the risks associated with this emerging asset class.
ChatGPT推出后,人工智能主题加密货币的羊群测试
本文旨在研究ChatGPT推出后,以人工智能(AI)为主题的加密货币中存在的羊群行为。作者分析了2022年11月至2023年2月期间主要人工智能主题加密货币的日常数据。本研究发现了这一细分市场投资者的非理性证据,他们倾向于在下跌事件中模仿他人的决策,而不管自己的信念。作者将这一发现与金融经济学中的羊群理论联系起来,并强调了对投资者和政策制定者的影响。本文对人工智能对金融市场影响的文献做出了贡献,并提出了在这一领域进一步研究的必要性。最后,这项研究提供了重要的政策含义,因为它可以帮助投资者更好地理解与这一新兴资产类别相关的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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