Volatility Information Transfer along the Supply Chain

Wenli Huang, Gang Li, Shaojun Zhang
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Abstract

We investigate whether and how information about one stock’s future volatility is transferred to other related stocks along the supply chain. The supply chain setting offers an ideal setting to study the effect of cross-firm volatility information transfer because customers and suppliers are closely related. Earnings announcements can have an impact on the announcing firm's short-term, long-term, and forward expected volatility. We find that, on average, the announcing firms’ short-term expected volatility decreases substantially after earnings announcements, while the change of their forward expected volatility is close to zero. Regression analysis shows that the change of the announcing firm’s short-term (forward) volatility has a significant effect on the change of its supply chain partner’s short-term (forward) volatility. The effect is economically meaningful and becomes stronger if customers and suppliers are more closely related. Our results yield new insights on the transfer of volatility related information among firms.
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供应链上的波动信息传递
我们研究了关于一只股票未来波动的信息是否以及如何转移到供应链上的其他相关股票。供应链环境为研究跨企业波动信息传递的影响提供了一个理想的环境,因为顾客和供应商是密切相关的。收益公告会对公司的短期、长期和远期预期波动产生影响。我们发现,财报公布后,公司的短期预期波动率显著下降,而其远期预期波动率的变化接近于零。回归分析表明,公告企业的短期(远期)波动率的变化对其供应链合作伙伴的短期(远期)波动率的变化有显著影响。这种效应在经济上是有意义的,如果顾客和供应商的关系更紧密,这种效应就会变得更强。我们的研究结果对企业间波动相关信息的转移产生了新的见解。
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