Advanced Search
MyIDEAS: Login to save this paper or follow this series

Firm Volatility in Granular Networks

Contents:

Author Info

  • Bryan Kelly
  • Hanno Lustig
  • Stijn Van Nieuwerburgh

Abstract

We propose a network model of firm volatility in which the customers’ growth rate shocks influence the growth rates of their suppliers, larger suppliers have more customers, and the strength of a customer-supplier link depends on the size of the customer firm. Even though all shocks are i.i.d., the network model produces firm-level volatility and size distribution dynamics that are consistent with the data. In the cross section, larger firms and firms with less concentrated customer networks display lower volatility. Over time, the volatilities of all firms co-move strongly, and their common factor is concentration of the economy-wide firm size distribution. Network effects are essential to explaining the joint evolution of the empirical firm size and firm volatility distributions.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.nber.org/papers/w19466.pdf
Download Restriction: Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 19466.

as in new window
Length:
Date of creation: Sep 2013
Date of revision:
Handle: RePEc:nbr:nberwo:19466

Note: AP CF EFG
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Email:
Web page: http://www.nber.org
More information through EDIRC

Related research

Keywords:

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. John Y. Campbell, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, American Finance Association, vol. 56(1), pages 1-43, 02.
  2. Shea, John S, 2002. "Complementarities and Comovements," Journal of Money, Credit and Banking, Blackwell Publishing, Blackwell Publishing, vol. 34(2), pages 412-33, May.
  3. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta-Eksten & Stephen Terry, 2013. "Really uncertain business cycles," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library 51526, London School of Economics and Political Science, LSE Library.
  4. Michael W. Brandt & Alon Brav & John R. Graham & Alok Kumar, 2010. "The Idiosyncratic Volatility Puzzle: Time Trend or Speculative Episodes?," Review of Financial Studies, Society for Financial Studies, Society for Financial Studies, vol. 23(2), pages 863-899, February.
  5. Vasco Carvalho & X. Gabaix, 2010. "The Great Diversification?," Working Papers 422, Barcelona Graduate School of Economics.
  6. Leahy, John V & Whited, Toni M, 1996. "The Effect of Uncertainty on Investment: Some Stylized Facts," Journal of Money, Credit and Banking, Blackwell Publishing, Blackwell Publishing, vol. 28(1), pages 64-83, February.
  7. Tano Santos & Pietro Veronesi, 2006. "Labor Income and Predictable Stock Returns," Review of Financial Studies, Society for Financial Studies, Society for Financial Studies, vol. 19(1), pages 1-44.
  8. Matteo Barigozzi & Brownlees Christian & Gallo Giampiero & David Veredas, . "Disentangling systematic and idiosyncratic risks for large panels of assets," ULB Institutional Repository 2013/136237, ULB -- Universite Libre de Bruxelles.
  9. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, Econometric Society, vol. 80(5), pages 1977-2016, 09.
  10. Matteo Luciani & David Veredas, 2012. "A model for vast panels of volatilities," Banco de Espa�a Working Papers 1230, Banco de Espa�a.
  11. Gerrit de Wit, 2004. "Firm Size Distributions : An overview of steady-state distributions resulting from firm dynamics models," Scales Research Reports, EIM Business and Policy Research N200418, EIM Business and Policy Research.
  12. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, Econometric Society, vol. 79(3), pages 733-772, 05.
  13. Diego A. Comin & Thomas Philippon, 2006. "The Rise in Firm-Level Volatility: Causes and Consequences," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 167-228 National Bureau of Economic Research, Inc.
  14. Stephen Davis & John Haltiwanger & Ron Jarmin & Javier Miranda, 2006. "Volatility and Dispersion in Business Growth Rates: Publicly Traded Versus Privately Held Firms," Working Papers 06-17, Center for Economic Studies, U.S. Census Bureau.
  15. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 119(1), pages 1 - 38.
  16. Long, John B, Jr & Plosser, Charles I, 1987. "Sectoral vs. Aggregate Shocks in the Business Cycle," American Economic Review, American Economic Association, American Economic Association, vol. 77(2), pages 333-36, May.
  17. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, American Finance Association, vol. 63(4), pages 1977-2011, 08.
  18. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, Elsevier, vol. 10(4), pages 407-432, December.
  19. Lior Menzly & Tano Santos & Pietro Veronesi, 2004. "Understanding Predictability," Journal of Political Economy, University of Chicago Press, University of Chicago Press, vol. 112(1), pages 1-47, February.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Julian di Giovanni & Andrei A. Levchenko & Isabelle M�jean, . "Firms, Destinations, and Aggregate Fluctuations," Working Papers, Research Seminar in International Economics, University of Michigan 630, Research Seminar in International Economics, University of Michigan.
  2. Can Tian, 2014. "Forecast Shocks in Production Networks," 2014 Meeting Papers, Society for Economic Dynamics 87, Society for Economic Dynamics.
  3. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "The Structure and Evolution of Buyer-Supplier Networks," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo CARF-F-339, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
  4. Mizuno, Takayuki & Souma, Wataru & Watanabe, Tsutomu, 2014. "The Structure and Evolution of Buyer-Supplier Networks," Working Paper Series 27, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
  5. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno & Tsutomu Watanabe, 2014. "Analytical Derivation of Power Laws in Firm Size Variables from Gibrat’s Law and Quasi-inversion Symmetry: A Geomorphological Approach," UTokyo Price Project Working Paper Series 019, University of Tokyo, Graduate School of Economics.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:19466. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.