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Supply chain risks, despite being a well-developed theoretical concept, are difficult to empirically quantify. I develop a firm-level measure of supply chain risk exposure using textual analysis on a novel source of unstructured data: managers' discussions during earnings conference calls. Economically validated, the measure provides a credible quantification of firm-level exposure to supply chain risks, and can be reliably utilized as outcome or explanatory variables in empirical research.
Improving supply chain performance under weather risk
Weather has a significant impact on the demand of various products. To improve the performance of the supply chain of weather sensitive products the main objective of the proposed research is to design new classes of contract that can outperform the widely used contracts, such as wholesale price, buyback, and revenue sharing contracts. . A firm’s objective under risk is measured by using the Conditional Value at Risk. Results show that the designed contracts outperform the traditional contracts.
Are Disclosures of Pandemics as a Source of Risk Informative? Evidence from Changes in Equity Risk Before and After the COVID-19 Pandemic.
Keno Theile1, Kai Hoberg1, Vinod R. Singhal2
1Kühne Logistics University, Germany; 2Scheller College of Business, Georgia Institute of Technology
Gathering information on risks in a supply chain is still a significant challenge for firms. However, firms are requested to disclose their material risks in 10-K reports, leading to a substantial amount of information on their risk status. It remains an unanswered question if the information is informative. Using the natural experiment presented by the COVID-19 pandemic and an event study methodology, our analysis provides evidence that risk disclosures are informative.
