Tech-Enabled Financial Data Access, Retail Investors, and Gambling-like Behavior in the Stock Market: Evidence from a Natural Experiment

Taha Havakhor, M. Rahman, Tianjian Zhang, Chenqi Zhu
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引用次数: 1

Abstract

A significant portion of retail investors heavily engage in feedback trading, which is built on historical price data. As financial technologies lower individuals’ acquisition cost to these data, the abundance of (raw) information creates an illusion of knowledge for retail investors and boosts their overconfidence, which further induces them to trade too much. Against this backdrop, we investigate the impact of technology-enabled convenient access to financial data on retail investments. Our identification strategy exploits the sudden shutdown of Yahoo! Finance Application Programming Interface (API), which cut off the largest free price data access for retail investors engaging in feedback trading. We find that within one month after the API shutdown, retail trading volumes in stocks favored by those investors dropped by 8.6%-10.5%. The remaining retail trades became more predictive of future returns, suggesting less gambling-like behavior after the API shutdown. The study reveals a dark side of technology-led wider data provision to retail investors, and echoes regulators’ call to improve the financial literacy of retail investors.
科技支持的金融数据访问,散户投资者和股票市场中的赌博行为:来自自然实验的证据
很大一部分散户投资者大量参与基于历史价格数据的反馈交易。由于金融技术降低了个人对这些数据的获取成本,丰富的(原始)信息给散户投资者造成了一种知识的错觉,增强了他们的过度自信,从而进一步诱使他们过度交易。在此背景下,我们调查了技术支持的便利获取金融数据对零售投资的影响。我们的身份识别策略利用了Yahoo!金融应用程序编程接口(API),切断了参与反馈交易的散户投资者最大的免费价格数据访问。我们发现,API关闭后的一个月内,这些投资者青睐的股票的零售交易量下降了8.6%-10.5%。剩下的零售交易变得更能预测未来的回报,这表明在API关闭后,类似赌博的行为减少了。这项研究揭示了以技术为主导的向散户投资者提供更广泛数据的阴暗面,并呼应了监管机构提高散户投资者金融素养的呼吁。
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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