
TL;DR
This paper examines risk propagation in network economies, revealing that substitutability and shock correlations significantly influence firm and sector risk, with implications for asset pricing and risk management.
Contribution
It introduces a production-based asset pricing model incorporating supply chain substitutability and shock correlations, addressing limitations of previous models with unrealistic assumptions.
Findings
Substitutability inversely relates to industry variance.
Supply-side substitutability links to technological dispersion.
Assets exposed to shock propagation earn lower risk premia.
Abstract
Economic models with input-output networks assume that firm or sector (unit) growth is driven by a weighted sum of trade partners' growth and an independently-drawn idiosyncratic shock. I show that the idiosyncratic risk assumption in a broad class of network models implicitly generates restrictions on the network weights which are unrealistic. When allowing for correlated shocks, units are exposed to an additional risk term which captures the ability to substitute away from supply and demand shocks propagating through the network. I provide empirical evidence that changes in substitutability between trade partners are inversely related to changes in the panel of realized industry variance. Moreover, I find that supply-side (demand-side) substitutability is closely related to technological (product) dispersion of a unit's suppliers (customers). To synthesize these results, I propose a…
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Taxonomy
TopicsFirm Innovation and Growth · Global trade and economics · Corporate Finance and Governance
