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Productivity Growth and Stock Returns: Firm- and Aggregate-Level Analyses

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  • Hyunbae Chun
  • Jung-Wook Kim
  • Randall Morck

Abstract

Technological innovation is not a blessing for all firms, or for investors holding the market. In the late 20th century US, individual firms' stock returns correlate positively with their own productivity growth, yet the market return correlates negatively with aggregate productivity growth, yet. This seeming fallacy of composition reflects Schumpeterian creative destruction: a few technology winners' stocks rise with their rising productivity while many technology losers' stocks fall with their declining productivity. Thus, most individual firms' stock returns correlate negatively with aggregate productivity growth. Analogous reasoning explains prior findings that the market return correlates negatively with aggregate earnings.

Suggested Citation

  • Hyunbae Chun & Jung-Wook Kim & Randall Morck, 2013. "Productivity Growth and Stock Returns: Firm- and Aggregate-Level Analyses," NBER Working Papers 19462, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19462
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Lin, Xiaoji, 2012. "Endogenous technological progress and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 103(2), pages 411-427.
    3. Leonid Kogan & Dimitris Papanikolaou, 2013. "Firm Characteristics and Stock Returns: The Role of Investment-Specific Shocks," Review of Financial Studies, Society for Financial Studies, vol. 26(11), pages 2718-2759.
    4. Jeffrey I. Bernstein & M. Ishaq Nadiri, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," Review of Economic Studies, Oxford University Press, vol. 56(2), pages 249-267.
    5. Gambardella, Alfonso & Giuri, Paola & Luzzi, Alessandra, 2007. "The market for patents in Europe," Research Policy, Elsevier, vol. 36(8), pages 1163-1183, October.
    6. Paul A. Gompers & Josh Lerner, 2003. "The Really Long-Run Performance of Initial Public Offerings: The Pre-Nasdaq Evidence," Journal of Finance, American Finance Association, vol. 58(4), pages 1355-1392, August.
    7. Leonid Kogan & Dimitris Papanikolaou, 2014. "Growth Opportunities, Technology Shocks, and Asset Prices," Journal of Finance, American Finance Association, vol. 69(2), pages 675-718, April.
    8. Boyan Jovanovic & Peter L. Rousseau, 2003. "Two Technological Revolutions," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 419-428, 04/05.
    9. Hyunbae Chun & Jung-Wook Kim & Randall Morck, 2011. "Varying Heterogeneity among U.S. Firms: Facts and Implications," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 1034-1052, August.
    10. Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
    11. Jovanovic, Boyan & MacDonald, Glenn M, 1994. "The Life Cycle of a Competitive Industry," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 322-347, April.
    12. Josh Lerner, 1997. "An Empirical Exploration of a Technology Race," RAND Journal of Economics, The RAND Corporation, vol. 28(2), pages 228-247, Summer.
    13. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    14. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 132(2), pages 665-712.
    15. Gompers, Paul & Kovner, Anna & Lerner, Josh & Scharfstein, David, 2008. "Venture capital investment cycles: The impact of public markets," Journal of Financial Economics, Elsevier, vol. 87(1), pages 1-23, January.
    16. Megna, Pamela & Klock, Mark, 1993. "The Impact on Intangible Capital on Tobin's q in the Semiconductor Industry," American Economic Review, American Economic Association, vol. 83(2), pages 265-269, May.
    17. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2000. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)," NBER Working Papers 7552, National Bureau of Economic Research, Inc.
    18. Pakes, Ariel, 1985. "On Patents, R&D, and the Stock Market Rate of Return," Journal of Political Economy, University of Chicago Press, vol. 93(2), pages 390-409, April.
    19. Susanto Basu & Miles S. Kimball, 1997. "Cyclical Productivity with Unobserved Input Variation," NBER Working Papers 5915, National Bureau of Economic Research, Inc.
    20. David, Paul A, 1990. "The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox," American Economic Review, American Economic Association, vol. 80(2), pages 355-361, May.
    21. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, March.
    22. Chad Syverson, 2004. "Product Substitutability and Productivity Dispersion," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 534-550, May.
    23. Basu, Susanto & Fernald, John G, 1997. "Returns to Scale in U.S. Production: Estimates and Implications," Journal of Political Economy, University of Chicago Press, vol. 105(2), pages 249-283, April.
    24. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    25. Philippe Aghion & Christopher Harris & Peter Howitt & John Vickers, 2001. "Competition, Imitation and Growth with Step-by-Step Innovation," Review of Economic Studies, Oxford University Press, vol. 68(3), pages 467-492.
    26. Chun, Hyunbae & Kim, Jung-Wook & Morck, Randall & Yeung, Bernard, 2008. "Creative destruction and firm-specific performance heterogeneity," Journal of Financial Economics, Elsevier, vol. 89(1), pages 109-135, July.
    27. Sadka, Gil & Sadka, Ronnie, 2009. "Predictability and the earnings-returns relation," Journal of Financial Economics, Elsevier, vol. 94(1), pages 87-106, October.
    28. Antoinette Schoar, 2002. "Effects of Corporate Diversification on Productivity," Journal of Finance, American Finance Association, vol. 57(6), pages 2379-2403, December.
    29. Hsu, Po-Hsuan, 2009. "Technological innovations and aggregate risk premiums," Journal of Financial Economics, Elsevier, vol. 94(2), pages 264-279, November.
    30. Zvi Griliches, 1998. "The Search for R&D Spillovers," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 251-268 National Bureau of Economic Research, Inc.
    31. Chen, Nai-Fu, 1991. " Financial Investment Opportunities and the Macroeconomy," Journal of Finance, American Finance Association, vol. 46(2), pages 529-554, June.
    32. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-455, July.
    33. Philippe Aghion & Peter Howitt, 1997. "Endogenous Growth Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011662, March.
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    Cited by:

    1. Morana, Claudio, 2014. "Insights on the global macro-finance interface: Structural sources of risk factor fluctuations and the cross-section of expected stock returns," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 64-79.
    2. repec:eee:advacc:v:30:y:2014:i:2:p:338-353 is not listed on IDEAS

    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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