Department of Economics
Seoul 121-742 Korea
Institutional Affiliation: Sogang University
Information about this author at RePEc
NBER Working Papers and Publications
|September 2013||Productivity Growth and Stock Returns: Firm- and Aggregate-Level Analyses|
with , : w19462
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.
Published: Hyunbae Chun & Jung-Wook Kim & Randall Morck, 2016. "Productivity growth and stock returns: firm- and aggregate-level analyses," Applied Economics, Taylor & Francis Journals, vol. 48(38), pages 3644-3664, August. citation courtesy of
|April 2007||Creative Destruction and Firm-Specific Performance Heterogeneity|
with , , : w13011
Traditional U.S. industries with higher firm-specific stock return and fundamentals performance heterogeneity use information technology (IT) more intensively and post faster productivity growth in the late 20th century. We argue that elevated firm performance heterogeneity mechanically reflects a wave of Schumpeter's (1912) creative destruction disrupting a wide swath of U.S. industries, with newly successful IT adopters unpredictably undermining established firms. This evidence validates endogenous growth theory models of creative destruction, such as Aghion and Howitt (1992); and suggests that recent findings of more elevated firm-specific performance variation in richer, faster growing countries with more transparent accounting, better financial systems, and more secure property rights...
Published: 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. citation courtesy of
|November 2004||Patterns of Comovement: The Role of Information Technology in the U.S. Economy|
with , , : w10937
Firm-specific variation in stock returns and fundamental performance measures is significantly higher in industries that have a history of more investment in information technology (IT). We hypothesise that IT is associated with creative destruction or product differentiation, either of which can widen the performance difference between winner and loser firms. Thus, economy-level volatility can fall while firm-level volatility rises because firm-specific volatility cancels out in the aggregate. Our results are consistent with rising firm-specific variation in US stocks reflecting a rising pace of creative destruction; and with greater firm-specific variation in richer and faster growing countries reflecting more intensive creative destruction in those economies, though other explanations a...
|October 2002||Decomposing Productivity Growth in the U.S. Computer Industry|
with : w9267
In this paper, we examine the sources of the productivity growth in the U.S. computer industry from 1978 to 1999. We estimate a joint production model of output quantity and quality that distinguishes two types of technological changes: process and product innovations. Based on the estimation results, we decompose total factor productivity (TFP) growth rate into the contributions of process and product innovations and scale economies. The results show that product innovation associated with better quality accounts for about 30 percent of the TFP growth in the computer industry. Furthermore, we find that the TFP acceleration in the computer industry in the late 1990s is mainly derived from a rapid increase in product innovation.
Published: Hyunbae Chun & M. Ishaq Nadiri, 2008. "Decomposing Productivity Growth in the U.S. Computer Industry," The Review of Economics and Statistics, MIT Press, vol. 90(1), pages 174-180, November. citation courtesy of