Technological Revolutions and Stock Prices
Lubos Pastor and
Pietro Veronesi
No 11876, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
We develop a general equilibrium model in which stock prices of innovative firms exhibit "bubbles" during technological revolutions. In the model, the average productivity of a new technology is uncertain and subject to learning. During technological revolutions, the nature of this uncertainty changes from idiosyncratic to systematic. The resulting "bubbles" in stock prices are observable ex post but unpredictable ex ante, and they are most pronounced for technologies characterized by high uncertainty and fast adoption. We find empirical support for the model's predictions in 1830-1861 and 1992-2005 when the railroad and Internet technologies spread in the United States.
JEL-codes: G1 (search for similar items in EconPapers)
Date: 2005-12
New Economics Papers: this item is included in nep-dge, nep-fin, nep-fmk and nep-ino
Note: AP
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Published as Pastor, Lubos and Pietro Veronesi. "Technological Revolutions and Stock Prices." American Economic Review 99, 4 (2009): 1451-1483.
Downloads: (external link)
http://www.nber.org/papers/w11876.pdf (application/pdf)
Related works:
Journal Article: Technological Revolutions and Stock Prices (2009) 
Working Paper: Technological Revolutions and Stock Prices (2005) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:11876
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w11876
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().