How Common are Return Factors in Cryptocurrencies and Equities?

Guo Feng, Yulong Sun
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Abstract

Finance research contributes to finding factors to explain the cross-sectional expected equity and cryptocurrency returns. In this paper, we implement the statistical methods to evaluate the common factor structure of these two markets and aim to identify the possible common factors across two markets. By considering the comprehensive dataset covering cryptocurrencies and the U.S. equity universe, we find that there are no common pervasive factors that govern the returns for both cryptocurrencies and equities before 2019, but there arises one common factor post-2020. The identified common factor is significantly related to the standard equity factors but not the crypto factors, which suggests that equity factors can help explain the common variations in returns across equities and cryptocurrencies. The documented pattern is robust across different U.S. equity market classifications, return specifications, and implemented statistical methods. Moreover, we find this pattern holds at the international equity market level. Our results point to the arising of common factors driving the returns on these two markets. Specifically, it's the equity factors that contribute to explaining the cross-sectional cryptocurrency returns recently.
加密货币和股票的回报因素有多普遍?
金融研究有助于找到解释横截面预期股票和加密货币回报的因素。在本文中,我们运用统计方法来评估这两个市场的共同因素结构,旨在找出两个市场之间可能存在的共同因素。通过考虑涵盖加密货币和美国股票领域的综合数据集,我们发现在2019年之前没有共同的普遍因素影响加密货币和股票的回报,但在2020年之后出现了一个共同因素。所确定的共同因素与标准股票因素显著相关,但与加密货币因素无关,这表明股票因素可以帮助解释股票和加密货币回报率的共同变化。所记录的模式在不同的美国股票市场分类、回报规范和实现的统计方法中都是健壮的。此外,我们发现这种模式在国际股票市场层面上是成立的。我们的研究结果表明,驱动这两个市场回报的共同因素正在出现。具体来说,股票因素有助于解释最近横截面加密货币的回报。
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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