Labor Market Networks and Asset Returns

Turan G. Bali, Joon Woo Bae, Ali Sharifkhani, Xiaofei Zhao
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Abstract

This paper proposes a measure of labor market connectivity based on the similarity in the composition of occupational knowledge characteristics across industries and provides evidence of return predictability in the cross-section of industries that are connected through the labor market. In long-short portfolios, an industry's return is strongly predicted by the past return of its labor-market-connected neighboring industries with an annualized return of up to 9%, which is not explained by established asset pricing models. The return predictability remains significant after controlling for the supply chain momentum as well as the industry lead-lag effect, and is concentrated in stocks with higher arbitrage costs and higher ownership of uninformed investors. We find similar predictive relations for the labor productivity, wages, employment, and profitability of labor connected industries. Our findings are consistent with positive spillover of productivity shocks among industries that are connected through the labor market. Informational frictions, costly arbitrage, and investors' limited attention magnify the delayed response of stock prices to the spillover of labor productivity shocks, which results in the observed return predictability.
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劳动力市场网络和资产回报
本文提出了一种基于各行业职业知识特征组成相似性的劳动力市场连通性度量方法,并提供了通过劳动力市场连接的行业横截面回报可预测性的证据。在多空投资组合中,一个行业的回报与与劳动力市场相关的邻近行业的过去回报率密切相关,年化回报率最高可达9%,这是现有资产定价模型无法解释的。在控制了供应链动量和行业领先滞后效应后,收益可预测性仍然显著,并集中在套利成本较高和不知情投资者持股率较高的股票上。我们发现劳动关联产业的劳动生产率、工资、就业和盈利能力也存在类似的预测关系。我们的研究结果与生产率冲击在通过劳动力市场联系起来的行业之间的正向溢出一致。信息摩擦、高成本套利和投资者有限的注意力放大了股票价格对劳动生产率冲击外溢的延迟反应,从而导致观察到的收益可预测性。
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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