IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v51y2001i1d10.1023_a1010597502646.html
   My bibliography  Save this article

A relationship between technology indicators and stock market performance

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1010597502646
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/A:1010597502646?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lawrence G. Franko, 1989. "Global corporate competition: Who's winning, who's losing, and the R&D factor as one reason why," Strategic Management Journal, Wiley Blackwell, vol. 10(5), pages 449-474, September.
    2. Albert, M. B. & Avery, D. & Narin, F. & McAllister, P., 1991. "Direct validation of citation counts as indicators of industrially important patents," Research Policy, Elsevier, vol. 20(3), pages 251-259, June.
    3. Austin, David H, 1993. "An Event-Study Approach to Measuring Innovative Output: The Case of Biotechnology," American Economic Review, American Economic Association, vol. 83(2), pages 253-258, May.
    4. Comanor, William S & Scherer, Frederic M, 1969. "Patent Statistics as a Measure of Technical Change," Journal of Political Economy, University of Chicago Press, vol. 77(3), pages 392-398, May/June.
    5. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August.
    6. Lev, Baruch & Sougiannis, Theodore, 1996. "The capitalization, amortization, and value-relevance of R&D," Journal of Accounting and Economics, Elsevier, vol. 21(1), pages 107-138, February.
    7. Narin, Francis & Noma, Elliot & Perry, Ross, 1987. "Patents as indicators of corporate technological strength," Research Policy, Elsevier, vol. 16(2-4), pages 143-155, August.
    8. Carpenter, Mark P. & Narin, Francis & Woolf, Patricia, 1981. "Citation rates to technologically important patents," World Patent Information, Elsevier, vol. 3(4), pages 160-163, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu-Shan Chen & Ke-Chiun Chang, 2009. "Using neural network to analyze the influence of the patent performance upon the market value of the US pharmaceutical companies," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 637-655, September.
    2. Nicolas van Zeebroeck, 2011. "The puzzle of patent value indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(1), pages 33-62.
    3. Jaimin Goh & Jaehong Lee & Wonchang Hur & Yunchang Ju, 2019. "Do Analysts Fully Reflect Information in Patents about Future Earnings?," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    4. Schoenmakers, Wilfred & Duysters, Geert & Vanhaverbeke, Wim, 2008. "Radical versus Non-Radical Inventions," MERIT Working Papers 2008-036, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Adam B. Jaffe & Gaétan de Rassenfosse, 2017. "Patent citation data in social science research: Overview and best practices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1360-1374, June.
    6. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    7. von Wartburg, Iwan & Teichert, Thorsten & Rost, Katja, 2005. "Inventive progress measured by multi-stage patent citation analysis," Research Policy, Elsevier, vol. 34(10), pages 1591-1607, December.
    8. Schoenmakers, Wilfred & Duysters, Geert, 2010. "The technological origins of radical inventions," Research Policy, Elsevier, vol. 39(8), pages 1051-1059, October.
    9. Anthony Breitzman & Patrick Thomas, 2015. "Inventor team size as a predictor of the future citation impact of patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 631-647, May.
    10. Nicolas van Zeebroeck, 2007. "Patents only live twice: a patent survival analysis in Europe," Working Papers CEB 07-028.RS, ULB -- Universite Libre de Bruxelles.
    11. Breitzman, Anthony & Thomas, Patrick, 2015. "The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems," Research Policy, Elsevier, vol. 44(1), pages 195-205.
    12. Nils Omland, 2011. "Valuing Patents through Indicators," Chapters, in: Federico Munari & Raffaele Oriani (ed.), The Economic Valuation of Patents, chapter 7, Edward Elgar Publishing.
    13. Gaétan de Rassenfosse & Adam B. Jaffe, 2018. "Are patent fees effective at weeding out low‐quality patents?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 134-148, March.
    14. Altuntas, Serkan & Dereli, Turkay & Kusiak, Andrew, 2015. "Analysis of patent documents with weighted association rules," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 249-262.
    15. Eun Han & So Sohn, 2015. "Patent valuation based on text mining and survival analysis," The Journal of Technology Transfer, Springer, vol. 40(5), pages 821-839, October.
    16. Satoshi Yasukawa & Shingo Kano, 2015. "Comparison of examiners’ forward citations in the United States and Japan with pairs of equivalent patent applications," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1189-1205, February.
    17. Paul Almeida & Bruce Kogut, 1999. "Localization of Knowledge and the Mobility of Engineers in Regional Networks," Management Science, INFORMS, vol. 45(7), pages 905-917, July.
    18. Dibiaggio, Ludovic & Nasiriyar, Maryam & Nesta, Lionel, 2014. "Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies," Research Policy, Elsevier, vol. 43(9), pages 1582-1593.
    19. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    20. Hur, Wonchang & Oh, Junbyoung, 2021. "A man is known by the company he keeps?: A structural relationship between backward citation and forward citation of patents," Research Policy, Elsevier, vol. 50(1).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:51:y:2001:i:1:d:10.1023_a:1010597502646. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.