A relationship between technology indicators and stock market performance

Patrick Thomas ()
Additional contact information
Patrick Thomas: CHI Research, Inc

Scientometrics, 2001, vol. 51, issue 1, No 17, 319-333

Abstract: 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.

Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://link.springer.com/10.1023/A:1010597502646 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
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:spr:scient:v:51:y:2001:i:1:d:10.1023_a:1010597502646

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1023/A:1010597502646

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().