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Learning about supply chain risk and firm performance: evidence from a language model

Lee, Eunhee et al.
S-Space: Seoul National University · Papers
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natural-language-processing
We propose a new method to measure a firm's exposure to global value chains (GVC) using financial disclosures and examine the effect of supply chain risks on firm performance. Our method leverages a language model that integrates industry-wide GVC concentration metrics with firm-specific risk f
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