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Trends and volatilities in foreign patents registered in the USA

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  • Felix Chan
  • Dora Marinova
  • Michael McAleer

Abstract

This study analyses the patent trends and volatilities for the top 12 foreign patenting countries in the US market from 1975 to 1997. Japan is ranked first in terms of foreign patents registered in the USA, followed by Germany. Patent registrations from each of these countries have increased steadily over time, but at different rates. Using monthly time series data for 1975-1997, the time-varying volatility of Australian, Japanese and German patents registered in the USA is examined in detail. The asymmetric AR(1)-GJR(1,1) model is found to be suitable for Australia and Japan, while the best fitting model for Germany is the symmetric AR(1)-GARCH(1,1) model.

Suggested Citation

  • Felix Chan & Dora Marinova & Michael McAleer, 2004. "Trends and volatilities in foreign patents registered in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 585-592.
    • Handle: RePEc:taf:applec:v:36:y:2004:i:6:p:585-592
    DOI: 10.1080/0003684042000217625
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    1. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    2. Ling, Shiqing & McAleer, Michael, 2003. "Asymptotic Theory For A Vector Arma-Garch Model," Econometric Theory, Cambridge University Press, vol. 19(2), pages 280-310, April.
    3. Ling, Shiqing & McAleer, Michael, 2002. "NECESSARY AND SUFFICIENT MOMENT CONDITIONS FOR THE GARCH(r,s) AND ASYMMETRIC POWER GARCH(r,s) MODELS," Econometric Theory, Cambridge University Press, vol. 18(3), pages 722-729, June.
    4. Claude Crampes & Corinne Langinier, 1998. "Information Disclosure in the REnewal of Patent," Annals of Economics and Statistics, GENES, issue 49-50, pages 265-288.
    5. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
    6. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    7. repec:adr:anecst:y:1998:i:49-50:p:12 is not listed on IDEAS
    8. He, Changli & Terasvirta, Timo, 1999. "Properties of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 92(1), pages 173-192, September.
    9. Ling, Shiqing & McAleer, Michael, 2002. "Stationarity and the existence of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 106(1), pages 109-117, January.
    10. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    11. Arundel, Anthony & Kabla, Isabelle, 1998. "What percentage of innovations are patented? empirical estimates for European firms," Research Policy, Elsevier, vol. 27(2), pages 127-141, June.
    12. repec:adr:anecst:y:1998:i:49-50:p:10 is not listed on IDEAS
    13. repec:adr:anecst:y:1998:i:49-50:p:11 is not listed on IDEAS
    14. Archibugi, Daniele & Pianta, Mario, 1994. "Aggregate Convergence and Sectoral Specialization in Innovation," Journal of Evolutionary Economics, Springer, vol. 4(1), pages 17-33, March.
    15. repec:bla:jecsur:v:16:y:2002:i:3:p:245-69 is not listed on IDEAS
    16. W. K. Li & Shiqing Ling & Michael McAleer, 2002. "Recent Theoretical Results for Time Series Models with GARCH Errors," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 245-269, July.
    17. Kortum, Samuel & Lerner, Josh, 1999. "What is behind the recent surge in patenting?1," Research Policy, Elsevier, vol. 28(1), pages 1-22, January.
    18. Emmanuel Duguet & Isabelle Kabla, 1998. "Appropriation Strategy and the Motivations to Use the Patent System: An Econometric Analysis at the Firm Level in French Manufacturing," Annals of Economics and Statistics, GENES, issue 49-50, pages 289-327.
    19. W. K. Li & Shiqing Ling & Michael McAleer, 2001. "A Survey of Recent Theoretical Results for Time Series Models with GARCH Errors," ISER Discussion Paper 0545, Institute of Social and Economic Research, The University of Osaka.
    20. Nelson, Daniel B., 1990. "Stationarity and Persistence in the GARCH(1,1) Model," Econometric Theory, Cambridge University Press, vol. 6(3), pages 318-334, September.
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    Cited by:

    1. Bedford, Anna & Ma, Le & Ma, Nelson & Vojvoda, Kristina, 2022. "Australian innovation: Patent database construction and first evidence," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    2. Suhejla Hoti & Michael McAleer, 2006. "How Does Country Risk Affect Innovation? An Application To Foreign Patents Registered In The Usa," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 691-714, September.
    3. Dora Marinova & Michael McAleer, 2002. "Trends and volatility in Japanese patenting in the USA: An analysis of the electronics and transport industries," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 171-187, August.

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