Optimal Learning, Overvaluation and Overinvestment

Barbosa, António (2019): Optimal Learning, Overvaluation and Overinvestment.

Abstract

Periods of technological revolution are usually associated with overvaluation of and overinvestment by innovating firms. This paper develops a model that explains this behavior in a frictionless rational setting. When fully rational innovating firms face uncertainty about the returns to scale of their production functions, overinvestment emerges as the optimal way to learn about the returns to scale. The optimal learning is also shown to produce overvaluation. The model is also able to generate what an observer ex-post would identify as bubbles followed by overcorrection, negative excess returns in early periods, negative autocorrelation in excess returns and market-to-book and size effects.

• Item Type: MPRA Paper
• Language: English
• Keywords: Learning, Investment Decision, Bubbles
• Subjects: D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness; G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates; G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading

References

Abreu, D. and Brunnermeier, M. (2003). Bubbles and crashes. Econometrica, 71(1):173–204.

Allen, F. and Gale, D. (2000). Bubbles and crises. The Economic Journal, 110:236–255.

Allen, F. and Gorton, G. (1993). Churning Bubbles. The Review of Economic Studies, 60(4):813–836.

Allen, F., Morris, S., and Postlewaite, A. (1993). Finite bubbles with short sale constraints and asymmetric information. Journal of Economic Theory, 61(2):206–229.

Alti, A. (2003). How Sensitive Is Investment to Cash Flow When Financing Is Frictionless? The Journal of Finance, 58(2):707–722.

Bertocchi, G. and Spagat, M. (1998). Growth under uncertainty with experimentation. Journal of Economic Dynamics and Control, 23(2):209–231.

Cooper, R. and Haltiwanger, J. (2006). On the Nature of Capital Adjustment Costs. Review of Economic Studies, 73(3):611–633.

Fama, E. and French, K. (1988). Permanent and Temporary Components of Stock Prices. Journal of Political Economy, 96(2):246–273.

Fama, E. and French, K. (1992). The Cross-Section of Expected Stock Returns. Journal of Finance, 47(2):427–465.

Gill, J. (2002). Bayesian Methods: A Social and Behavioral Sciences Approach. Chapman and Hall/CRC, Boca Raton.

Hall, R. (2002). Industry Dynamics with Adjustment Costs.

Hall, R. (2004). Measuring Factor Adjustment Costs. Quarterly Journal of Economics, 119(3):899–927.

Hamilton, J. and Whiteman, C. (1985). The Observable Implications of Self-Fulfilling Expectations. Journal of Monetary Economics, 16:353–373.

Johnson, T. (2007). Optimal learning and new technology bubbles. Journal of Monetary Economics, 54(8):2486–2511.

Liptser, R. and Shiryaev, A. (2001). Statistics of Random Processes I & II. Springer, New York, second edition.

Malkiel, B. (1996). A Random Walk Down Wall Street. W. W. Norton & Co., New York.

Miranda, M. and Fackler, P. (2004). Applied Computational Economics and Finance. MIT Press, Cambridge.

Pástor, Ä. and Veronesi, P. (2009). Technological Revolutions and Stock Prices. American Economic Review, 99(4):1451–1483.

Perez, C. (2003). Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages. Edward Elgar Publishing, Cheltenham.

Rappoport, P. and White, E. (1993). Was There a Bubble in the 1929 Stock Market? Journal of Economic History, 53(3):549–574.

Ritter, J. (1991). The Long-Run Performance of Initial Public Offerings. Journal of Finance, 46(1):3–27.

Shapiro, M. (1986). The Dynamic Demand for Capital and Labor. The Quarterly Journal of Economics, 101(3):513–542.

Shiller, R. (2000). Irrational Exuberance. Princeton University Press, Princeton.