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Wall Street and Silicon Valley: A Delicate Interaction

Author

Listed:
  • George-Marios Angeletos
  • Guido Lorenzoni
  • Alessandro Pavan
Abstract
Financial markets look at data on aggregate investment for clues about underlying profitability. At the same time, firms' investment depends on expected equity prices. This generates a two-way feedback between financial market prices and investment. In this paper we study the positive and normative implications of this interaction during episodes of intense technological change, when information about new investment opportunities is highly dispersed. Because high aggregate investment is "good news" for profitability, asset prices increase with aggregate investment. Because firms' incentives to invest in turn increase with asset prices, an endogenous complementarity emerges in investment decisions -- a complementarity that is due purely to informational reasons. We show that this complementarity dampens the impact of fundamentals (shifts in underlying profitability) and amplifies the impact of noise (correlated errors in individual assessments of profitability). We next show that these effects are symptoms of inefficiency: equilibrium investment reacts too little to fundamentals and too much to noise. We finally discuss policies that improve efficiency without requiring any informational advantage on the government's side.

Suggested Citation

  • George-Marios Angeletos & Guido Lorenzoni & Alessandro Pavan, 2007. "Wall Street and Silicon Valley: A Delicate Interaction," NBER Working Papers 13475, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:13475
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    Blog mentions

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    1. “Wall Street and Silicon Valley: A Delicate Interaction,” G.-M. Angeletos, G. Lorenzoni & A. Pavan (2012)
      by afinetheorem in A Fine Theorem on 2014-03-06 17:22:41

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    Cited by:

    1. George-Marios Angeletos & Alessandro Pavan, 2009. "Policy with Dispersed Information," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 11-60, March.
    2. Péter Kondor, 2009. "The more we know, the less we agree: Higher-order expectations and public announcements," 2009 Meeting Papers 1018, Society for Economic Dynamics.
    3. Gabriel Desgranges & Celine Rochon, 2008. "Conformism, Public News and Market Effciency," OFRC Working Papers Series 2008fe16, Oxford Financial Research Centre.
    4. George-Marios Angeletos & Guido Lorenzoni & Alessandro Pavan, 2010. "Beauty Contests and "Irrational Exuberance": A Neoclassical Approach," Discussion Papers 1502, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    5. Kathy Yuan & Emre Ozdenoren & Itay Goldstein, 2008. "Learning and Complementarities: Implications for Speculative Attacks," 2008 Meeting Papers 276, Society for Economic Dynamics.
    6. Tarek A. Hassan & Thomas M. Mertens, 2017. "The Social Cost of Near-Rational Investment," American Economic Review, American Economic Association, vol. 107(4), pages 1059-1103, April.
    7. Kondor, Péter, 2011. "The more we know on the fundamental, the less we agree on the price," CEPR Discussion Papers 8455, C.E.P.R. Discussion Papers.
    8. Goldstein, Itay & Ozdenoren, Emre & Yuan, Kathy, 2013. "Trading frenzies and their impact on real investment," Journal of Financial Economics, Elsevier, vol. 109(2), pages 566-582.
    9. Ted Temzelides & Cyril Monnet & Marie Hoerova, 2008. "Public Information and Monetary Policy," 2008 Meeting Papers 5, Society for Economic Dynamics.
    10. Shapiro, Dmitry & Shi, Xianwen & Zillante, Artie, 2014. "Level-k reasoning in a generalized beauty contest," Games and Economic Behavior, Elsevier, vol. 86(C), pages 308-329.
    11. Dmitry Shapiro & Xianwen Shi & Artie Zillante, 2009. "Robustness of Level-k Reasoning in Generalized Beauty Contest Games," Working Papers tecipa-380, University of Toronto, Department of Economics.
    12. Gabriel Desgranges & Céline Rochon, 2013. "Conformism and public news," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(3), pages 1061-1090, April.
    13. Tarek A. Hassan & Thomas M. Mertens, 2015. "Information Aggregation in a Dynamic Stochastic General Equilibrium Model," NBER Macroeconomics Annual, University of Chicago Press, vol. 29(1), pages 159-207.
    14. Angeletos, George-Marios & La’O, Jennifer, 2009. "Incomplete information, higher-order beliefs and price inertia," Journal of Monetary Economics, Elsevier, vol. 56(S), pages 19-37.
    15. Guido Lorenzoni & George-Marios Angeletos, 2010. "Price Making Intermediation," 2010 Meeting Papers 963, Society for Economic Dynamics.
    16. Kevin J. Lansing, 2008. "Speculative growth and overreaction to technology shocks," Working Paper Series 2008-08, Federal Reserve Bank of San Francisco.

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    More about this item

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • G1 - Financial Economics - - General Financial Markets
    • G3 - Financial Economics - - Corporate Finance and Governance

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