投资者成熟度和资产价格

George M. Korniotis, Alok Kumar, J. Page
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引用次数: 2

摘要

我们表明,投资者成熟程度的地域差异会影响当地资产价格。在不太复杂地区的投资者表现出更强的交易相关性,相应地,总部设在不太复杂地区的公司的回报相关性更强,特别是当当地经济状况异常糟糕或良好时。此外,我们表明,在散户投资者经验较少的美国各州,当地经济状况对当地股票回报的预测能力更强。这种可预测性的证据在地方偏见强烈的地区更为明显。利用当地经济指标的预测能力的交易策略,在投资者不那么老练的美国地区,经风险调整后的回报率要高出5-7%。这些资产定价结果是由实际的当地投资者的成熟程度驱动的,而不是由更广泛的当地人口的特征驱动的。当我们使用人口范围内的复杂程度衡量标准时,我们的结果就消失了。总的来说,这些结果证明了美国资本市场中投资者的复杂程度导致了细分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investor Sophistication and Asset Prices
We show that geographical variation in the level of investor sophistication influences local asset prices. Investors in less sophisticated regions exhibit stronger trading correlations, and correspondingly, the returns of firms headquartered in less sophisticated areas are more strongly correlated, especially when local economic conditions are unusually bad or good. Further, we show that local economic conditions have a greater ability to predict local stock returns in U.S. states with less sophisticated retail investors. This evidence of predictability is stronger in regions with strong local bias. A trading strategy that exploits the predictive ability of local economic indicators earns 5-7% higher risk-adjusted returns in U.S. regions with less sophisticated investors. These asset pricing results are driven by the sophistication of actual local investors, and not by the characteristics of the broader local population. Our results disappear when we use population-wide measures of sophistication. Collectively, these results provide evidence of investor sophistication-induced segmentation in U.S. capital markets.
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