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A relationship between technology indicators and stock market performance

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  • Patrick Thomas

    (CHI Research, Inc)

Abstract

One of the main objectives of technology analyses is to understand how investing intechnological innovation can have commercial benefits. However, empirical studies of therelationship between investments in technology and subsequent economic performance arerelatively scarce. This paper provides such an analysis by demonstrating how quantitative R&Dand technology indicators may be used to forecast company stock price performance. The purposeof the analysis is to utilize a unique patent database, and the science and technology indicatorsdeveloped from the data therein, to explore this issue of technological competence and economicperformance. The underlying concept behind this study is that the quality of a company's technology isreflected in its patent portfolio. Previous research has shown that a company with a largepercentage of influential patents is much more likely to be technologically successful than acompany with weaker patents. The analysis presented here reveals that such a company is alsomore likely to be successful in capital markets.

Suggested Citation

  • Patrick Thomas, 2001. "A relationship between technology indicators and stock market performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 319-333, April.
    • Handle: RePEc:spr:scient:v:51:y:2001:i:1:d:10.1023_a:1010597502646
    DOI: 10.1023/A:1010597502646
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    Cited by:

    1. Beschorner, Patrick Frank Ernst, 2008. "Do Shorter Product Cycles Induce Patent Thickets?," ZEW Discussion Papers 08-098, ZEW - Leibniz Centre for European Economic Research.
    2. BokHyun Lee, 2018. "The Relationship between Technology Life Cycle and Korean Stock Market Performance," IJFS, MDPI, vol. 6(4), pages 1-22, October.
    3. Guderian, Carsten C. & Posth, Jan-Alexander & Grob, Linus, 2023. "Investment decisions and passive portfolio construction utilizing patent analytics: A multi-case study on COVID-19 treatment technologies," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 66-87.
    4. Chang, Ke-Chiun & Chen, Dar-Zen & Huang, Mu-Hsuan, 2012. "The relationships between the patent performance and corporation performance," Journal of Informetrics, Elsevier, vol. 6(1), pages 131-139.
    5. Hong-Wen Tsai & Hui-Chung Che & Bo Bai, 2021. "Innovation Continuity as Indicator for Observing Stock Return Rate in China Stock Market," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(5), pages 1-2.
    6. Wong, Chan-Yuan & Goh, Kim-Leng, 2010. "Growth behavior of publications and patents: A comparative study on selected Asian economies," Journal of Informetrics, Elsevier, vol. 4(4), pages 460-474.
    7. Tang, Chor Foon & Tan, Eu Chye, 2013. "Exploring the nexus of electricity consumption, economic growth, energy prices and technology innovation in Malaysia," Applied Energy, Elsevier, vol. 104(C), pages 297-305.
    8. Yu-Shan Chen & Yu-Hsien Lin & Tai-Hsi Wu & Shu-Tzu Hung & Pei-Ju Lucy Ting & Chen-Han Hsieh, 2019. "Re-examine the determinants of market value from the perspectives of patent analysis and patent litigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 1-17, July.
    9. Mu-Hsuan Huang & Dar-Zen Chen & Danqi Shen & Mona S. Wang & Fred Y. Ye, 2015. "Measuring technological performance of assignees using trace metrics in three fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 61-86, July.
    10. Chihmao Hsieh, 2011. "Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 381-404, February.

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