EXPRESS: Supply chain risk and resolution: An empirical study of stock market reactions

Firms are exposed to varying levels of supply chain risk and engage in efforts to resolve such risk. This paper examines how disclosures of supply chain risk and resolution during earnings calls affect firms’ stock returns. Using natural language processing, we develop measures of supply chain risk and resolution from quarterly earnings call transcripts for a total of 129,981 firm-quarter observations between 2008 and 2019. We find that higher levels of supply chain risk are associated with lower stock returns around earnings calls, while disclosures of supply chain risk resolution attenuate these negative effects. In particular, stock returns of firms in the highest supply chain risk quintile are 1.07% lower compared to the stock returns of firms in the lowest quintile, and regression analyses indicate that a one-standard-deviation increase in supply chain risk is associated with a 0.56% decline in stock returns. The stock returns of firms in the highest supply chain risk resolution quintile are 0.12% higher compared to the stock returns of firms in the lowest quintile. A one-standard-deviation increase in resolution increases stock returns by 0.08%, and to 0.29% for the subsample of observations where the resolution measure is positive. Exploratory analyses indicate that the effect of supply chain risk on stock returns is significantly greater for smaller firms than for larger firms. In addition, when there is evidence that larger firms’ resolution-related statements are mere rhetoric, the effect of resolution on stock returns is diminished.

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Publication Details

Journal
Production and Operations Management
Published
2026-01-19
DOI
https://doi.org/10.1177/10591478261420550
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
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article

EXPRESS: Supply chain risk and resolution: An empirical study of stock market reactions

Christian Hofer, Vinod Singhal, Kai Hoberg, Keno Theile
Production and Operations Management
Supply Chain Resilience and Risk Management
article

EXPRESS: Supply chain risk and resolution: An empirical study of stock market reactions

Christian Hofer, Vinod Singhal, Kai Hoberg, Keno Theile
article en

Abstract

Firms are exposed to varying levels of supply chain risk and engage in efforts to resolve such risk. This paper examines how disclosures of supply chain risk and resolution during earnings calls affect firms’ stock returns. Using natural language processing, we develop measures of supply chain risk and resolution from quarterly earnings call transcripts for a total of 129,981 firm-quarter observations between 2008 and 2019. We find that higher levels of supply chain risk are associated with lower stock returns around earnings calls, while disclosures of supply chain risk resolution attenuate these negative effects. In particular, stock returns of firms in the highest supply chain risk quintile are 1.07% lower compared to the stock returns of firms in the lowest quintile, and regression analyses indicate that a one-standard-deviation increase in supply chain risk is associated with a 0.56% decline in stock returns. The stock returns of firms in the highest supply chain risk resolution quintile are 0.12% higher compared to the stock returns of firms in the lowest quintile. A one-standard-deviation increase in resolution increases stock returns by 0.08%, and to 0.29% for the subsample of observations where the resolution measure is positive. Exploratory analyses indicate that the effect of supply chain risk on stock returns is significantly greater for smaller firms than for larger firms. In addition, when there is evidence that larger firms’ resolution-related statements are mere rhetoric, the effect of resolution on stock returns is diminished.

Production and Operations Management
Openalex Percentile: Top 85%
Supply Chain Resilience and Risk Management
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EXPRESS: Supply chain risk and resolution: An empirical study of stock market reactions — Christian Hofer, Vinod Singhal, et al. · Production and Operations Management (2026) | TGRS Research Map | TGRS