Firm Volatility in Granular Networks

70 Pages Posted: 28 Sep 2013 Last revised: 10 Mar 2025

See all articles by Bryan T. Kelly

Bryan T. Kelly

Yale SOM; AQR Capital Management, LLC; National Bureau of Economic Research (NBER)

Hanno N. Lustig

Stanford Graduate School of Business; National Bureau of Economic Research (NBER)

Stijn Van Nieuwerburgh

Columbia University Graduate School of Business; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR); ABFER

Multiple version iconThere are 2 versions of this paper

Date Written: September 2013

Abstract

Firm volatilities co-move strongly over time, and their common factor is the dispersion of the economy-wide firm size distribution. In the cross section, smaller firms and firms with a more concentrated customer base display higher volatility. Network effects are essential to explaining the joint evolution of the empirical firm size and firm volatility distributions. We propose and estimate a simple network model of firm volatility in which shocks to customers influence their suppliers. Larger suppliers have more customers and customer-supplier links depend on customers size. The model produces distributions of firm volatility, size, and customer concentration consistent with the data.

Suggested Citation

Kelly, Bryan T. and Lustig, Hanno N. and Van Nieuwerburgh, Stijn, Firm Volatility in Granular Networks (September 2013). NBER Working Paper No. w19466, Available at SSRN: https://ssrn.com/abstract=2332518

Bryan T. Kelly (Contact Author)

Yale SOM ( email )

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Hanno N. Lustig

Stanford Graduate School of Business ( email )

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Stijn Van Nieuwerburgh

Columbia University Graduate School of Business ( email )

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Centre for Economic Policy Research (CEPR)

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ABFER ( email )

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