IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v33y2020i12p5856-5905..html
   My bibliography  Save this article

Production Networks and Stock Returns: The Role of Vertical Creative Destruction

Author

Listed:
  • Michael Gofman
  • Gill Segal
  • Youchang Wu
  • Stijn Van Nieuwerburgh

Abstract

We examine empirically and theoretically the relation between firms’ risk and distance to consumers in a production network. We document two novel facts: firms farther away from consumers have higher risk premiums and higher exposure to aggregate productivity. We quantitatively explain these findings using a general equilibrium model featuring a multilayer production process. The economic force is “vertical creative destruction,” that is, positive productivity shocks to suppliers devalue customers’ assets-in-place, thereby lowering the cyclicality of downstream firms’ values. We show that vertical creative destruction varies with competition and firm characteristics and generates sizable cross-sectional differences in risk premiums.

Suggested Citation

  • Michael Gofman & Gill Segal & Youchang Wu & Stijn Van Nieuwerburgh, 2020. "Production Networks and Stock Returns: The Role of Vertical Creative Destruction," The Review of Financial Studies, Society for Financial Studies, vol. 33(12), pages 5856-5905.
    • Handle: RePEc:oup:rfinst:v:33:y:2020:i:12:p:5856-5905.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhaa034
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Nicole Branger & Patrick Konermann & Christoph Meinerding & Christian Schlag, 2021. "Equilibrium Asset Pricing in Directed Networks [Risk premia and term premia in general equilibrium]," Review of Finance, European Finance Association, vol. 25(3), pages 777-818.
    2. Chaderina, Maria & Weiss, Patrick & Zechner, Josef, 2022. "The maturity premium," Journal of Financial Economics, Elsevier, vol. 144(2), pages 670-694.
    3. Yu, Miao & Hu, Xiaolu & Zhong, Angel, 2023. "Trade links and return predictability: The Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    4. Crosignani, Matteo & Macchiavelli, Marco & Silva, André F., 2023. "Pirates without borders: The propagation of cyberattacks through firms’ supply chains," Journal of Financial Economics, Elsevier, vol. 147(2), pages 432-448.
    5. Jan Schneemeier, 2019. "Shock Propagation Through Cross-Learning in Opaque Networks," 2019 Meeting Papers 329, Society for Economic Dynamics.
    6. Giovanna Culot & Matteo Podrecca & Guido Nassimbeni & Guido Orzes & Marco Sartor, 2023. "Using supply chain databases in academic research: A methodological critique," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 3-25, January.
    7. Şenay Ağca & John R. Birge & Zi'ang Wang & Jing Wu, 2023. "The impact of COVID‐19 on supply chain credit risk," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 4088-4113, December.
    8. Ian Dew‐Becker, 2023. "Tail Risk in Production Networks," Econometrica, Econometric Society, vol. 91(6), pages 2089-2123, November.
    9. Spiros Bougheas & Adam Hal Spencer, 2022. "Fire sales and ex ante valuation of systemic risk: A financial equilibrium networks approach," Discussion Papers 2022/04, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    10. Patrick Gruning & Zeynep Kantur, 2023. "Stranded Capital in Production Networks: Implications for the Economy of the Euro Area," Working Papers 2023/06, Latvijas Banka.
    11. Tao Sun, 2022. "Cross‐country evidence on the relationship between global value chain position and the tail risk of insurers," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(3), pages 329-365, September.
    12. Yanying Zhang & Yiuman Tse & Gaiyan Zhang, 2022. "Return predictability between industries and the stock market in China," Pacific Economic Review, Wiley Blackwell, vol. 27(2), pages 194-220, May.
    13. Hu, Nan & Liang, Peng & Liu, Ling & Zhu, Lu, 2022. "The bullwhip effect and credit default swap market: A study based on firm-specific bullwhip effect measure," International Review of Financial Analysis, Elsevier, vol. 84(C).
    14. M. Max Croce & Tatyana Marchuk & Christian Schlag, 2019. "The Leading Premium," NBER Working Papers 25633, National Bureau of Economic Research, Inc.
    15. Croce, Mariano M. & Marchuk, Tatyana & Schlag, Christian, 2022. "The leading premium," SAFE Working Paper Series 371, Leibniz Institute for Financial Research SAFE.
    16. Maosheng Ye & Jim H. Shen & Eric Golson & Chien‐Chiang Lee & Yuting Li, 2022. "The impact of Sino–US trade friction on the performance of China's textile and apparel industry," International Finance, Wiley Blackwell, vol. 25(2), pages 151-166, August.
    17. Croce, Mariano & Schlag, Christian & Marchuk, Tatyana, 2018. "The Leading Premium," CEPR Discussion Papers 12631, C.E.P.R. Discussion Papers.
    18. Huang, Chien-Yu & Yang, Yibai & Zheng, Zhijie, 2018. "Monetary Policy in a Schumpeterian Growth Model with Two R&D Sectors," MPRA Paper 87462, University Library of Munich, Germany.
    19. Yin, Libo & Yang, Sen, 2023. "Oil price returns and firm's fixed investment: A production pattern," Energy Economics, Elsevier, vol. 125(C).
    20. Jiang, Zhengyang & Richmond, Robert J., 2023. "Origins of international factor structures," Journal of Financial Economics, Elsevier, vol. 147(1), pages 1-26.
    21. Gofman, Michael & Wu, Youchang, 2022. "Trade credit and profitability in production networks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 593-618.
    22. Victor Sellemi, 2022. "Risk in Network Economies," Papers 2208.01467, arXiv.org.
    23. Chien‐Yu Huang & Youchang Wu & Yibai Yang & Zhijie Zheng, 2023. "Monetary Policy in a Schumpeterian Growth Model with Vertical R&D Sectors," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(6), pages 1569-1607, September.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:rfinst:v:33:y:2020:i:12:p:5856-5905.. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.