Supply chain shocks are priced in the cross section of US equity returns and their magnitude is significant. R&D-intensive stocks are more exposed to these shocks and hence they bear a higher risk premium. We propose a novel innovation-driven endogenous growth model that reproduces these key features of the data and that predicts a severe disruptive effect of supply chain shocks on long-term growth. In a counterfactual exercise, we show that blockchains for supply management are very valuable assets as they promote innovation and growth by (i) relaxing working capital constraints and (ii) increasing production efficiency thanks to near real-time operation information flows.
Supply Chain Uncertainty: Pricing, Growth & Blockchains
Simone Boldrini
Bocconi University - Department of Finance
Mariano (Max) Massimiliano Croce
Finance Department, Bocconi University; Centre for Economic Policy Research (CEPR)
Thien Nguyen
Federal Reserve Board of Governors
Daniil Parfenov
Bocconi University - Department of Finance
Claudio Tebaldi
Bocconi University - Department of Finance