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The Relationship between Technology Life Cycle and Korean Stock Market Performance

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  • BokHyun Lee

    (Korean Intellectual Property Office, Government Complex Daejeon Building 4, 189, Cheongsa-ro, Seo-gu, Daejeon 35208, Korea)

Abstract

Through the three industrial revolutions, technology has enabled rapid changes in society. In a capitalist society, capital is invested where there is utility, for example, economic benefit. We intend to determine that the stock price of a company that uses a particular technology will change with the life cycle of the technology in question. Specifically, we filtered companies that mainly deal with augmented reality and are listed in Korea’s KOSDAQ market. We grouped these companies based on detailed technologies that constitute augmented reality. We used the event study method to calculate the stock returns against a benchmark. As a result, in the “Peak of Inflated Expectations” stage, the portfolios of all companies using augmented reality generally show higher returns than the benchmark. However, it is difficult to ascertain whether a return generated based on one of the detailed technologies that make up augmented reality is higher or lower than that of the benchmark. During the “Trough of Disillusionment” phase, there was neither a consistent trend of cumulative abnormal returns (CAR) nor buy-and-hold abnormal returns (BHAR). However, during this stage, there was a positive correlation of average BHAR and average abnormal returns between the entire sample’s portfolio and each detailed technology firm’s portfolio.

Suggested Citation

  • BokHyun Lee, 2018. "The Relationship between Technology Life Cycle and Korean Stock Market Performance," IJFS, MDPI, vol. 6(4), pages 1-22, October.
  • Handle: RePEc:gam:jijfss:v:6:y:2018:i:4:p:88-:d:179003
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    References listed on IDEAS

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    1. Mariana Mazzucato, 2005. "Risk, variety and volatility: growth, innovation and stock prices in early industry evolution," Springer Books, in: Uwe Cantner & Elias Dinopoulos & Robert F. Lanzillotti (ed.), Entrepreneurships, the New Economy and Public Policy, pages 33-54, Springer.
    2. Patrick Thomas, 2001. "A relationship between technology indicators and stock market performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 319-333, April.
    3. Bart Hobijn & Boyan Jovanovic, 2001. "The Information-Technology Revolution and the Stock Market: Evidence," American Economic Review, American Economic Association, vol. 91(5), pages 1203-1220, December.
    4. Alka Chadha & Raffaele Oriani, 2010. "R&D market value under weak intellectual property rights protection: the case of India," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 59-74, January.
    5. Boyan Jovanovic & Jeremy Greenwood, 1999. "The Information-Technology Revolution and the Stock Market," American Economic Review, American Economic Association, vol. 89(2), pages 116-122, May.
    6. 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.
    7. Mariana Mazzucato & Willi Semmler, 1999. "Market share instability and stock price volatility during the industry life-cycle: the US automobile industry," Journal of Evolutionary Economics, Springer, vol. 9(1), pages 67-96.
    8. Luboš Pástor & Pietro Veronesi, 2009. "Technological Revolutions and Stock Prices," American Economic Review, American Economic Association, vol. 99(4), pages 1451-1483, September.
    9. Tom Nicholas, 2008. "Does Innovation Cause Stock Market Runups? Evidence from the Great Crash," American Economic Review, American Economic Association, vol. 98(4), pages 1370-1396, September.
    10. Mariana Mazzucato, 2002. "The PC Industry: New Economy or Early Life-Cycle?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 318-345, April.
    11. Mariana Mazzucato, 2006. "Innovation and Stock Prices: a Review of some Recent Work," Revue de l'OFCE, Presses de Sciences-Po, vol. 97(5), pages 159-179.
    12. Iraj Daizadeh, 2007. "Issued US patents, patent-related global academic and media publications, and the US market indices are inter-correlated, with varying growth patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 29-36, October.
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