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R&D, Patents and Stock Return Volatility

In: Long Term Economic Development

Author

Listed:
  • Mariana Mazzucato

    (University of Sussex)

  • Massimiliano Tancioni

    (University of Rome La Sapienza)

Abstract

Recent finance literature highlights the role of technological change in increasing firm specific (idiosyncratic) and aggregate stock return volatility, yet innovation data is not used in these analyses, leaving the direct relationship between innovation and stock return volatility untested. The paper investigates the relationship between volatility and innovation using firm level patent data. The analysis builds on the empirical work by Mazzucato (Rev Econ Dyn 5:318–345,2002; J Evol Econ 13(5):491–512, 2003) where it is found that stock return volatility is highest during periods in the industry life-cycle when innovation is the most ‘radical’. In this paper we ask whether firms which invest more in innovation (more R&D and more patents) and/or which have more important innovations (patents with more citations) experience more volatility in their returns. Given that returns should in theory be higher, on average, for higher risk stocks, we also look at the effect of innovation on the level of returns. To take into account the competition between firms within industries, firm returns and volatility are measured relative to the industry average. We focus the analysis on firms in the pharmaceutical industry between 1974 and 1999. Results suggest that there is a positive and significant relationship between volatility, R&D intensity and the various patent related measures—especially when the innovation measures are filtered to distinguish the very innovative firms from the less innovate ones.

Suggested Citation

  • Mariana Mazzucato & Massimiliano Tancioni, 2013. "R&D, Patents and Stock Return Volatility," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 341-362, Springer.
    • Handle: RePEc:spr:eccchp:978-3-642-35125-9_15
    DOI: 10.1007/978-3-642-35125-9_15
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    Cited by:

    1. Wei-Chuan Kao, 2018. "Innovation quality of firms with the research and development tax credit," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 43-78, July.
    2. Lei Gao & Leo L. Yang & Joseph H. Zhang, 2016. "Corporate patents, R&D success, and tax avoidance," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1063-1096, November.
    3. Naji Mohammad Alshammasi & Adel Abdulkarim Almomen, 2022. "Innovation Output and Idiosyncratic Volatility: US Evidence," JRFM, MDPI, vol. 16(1), pages 1-17, December.
    4. Hamim, Md. Tanvir, 2020. "R&D Investments and Idiosyncratic Volatility," MPRA Paper 101330, University Library of Munich, Germany.
    5. Brigitte Eierle & Simone Wencki, 2016. "The determinants of capitalising development costs in private companies: evidence from Germany," Journal of Business Economics, Springer, vol. 86(3), pages 259-300, April.
    6. Francesca Michelino & Antonello Cammarano & Andrea Celone & Mauro Caputo, 2019. "The Linkage between Sustainability and Innovation Performance in IT Hardware Sector," Sustainability, MDPI, vol. 11(16), pages 1-15, August.
    7. Wolfgang Herb & Maria Lotze & Wolfgang Schultze & Philipp Sandner, 2025. "Real effects of capitalized research and development expenditures: a leading indicator for future innovation performance?," Review of Quantitative Finance and Accounting, Springer, vol. 64(1), pages 417-473, January.
    8. Leila Tahmooresnejad & Catherine Beaudry, 2019. "Collaboration or funding: lessons from a study of nanotechnology patenting in Canada and the United States," The Journal of Technology Transfer, Springer, vol. 44(3), pages 741-777, June.
    9. Sara Amoroso & Pietro Moncada-Paternò-Castello & Antonio Vezzani, 2017. "R&D profitability: the role of risk and Knightian uncertainty," Small Business Economics, Springer, vol. 48(2), pages 331-343, February.
    10. Kathryn Rudie Harrigan & Maria Chiara DiGuardo, 2017. "Sustainability of patent-based competitive advantage in the U.S. communications services industry," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1334-1361, December.
    11. Ad van den Oord & Arjen van Witteloostuijn, 2017. "The Population Ecology of Technology: An Empirical Study of US Biotechnology Patents from 1976 to 2003," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-26, January.
    12. Cheng Jiang & Kose John & David Larsen, 2021. "R&D investment intensity and jump volatility of stock price," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 235-277, July.
    13. Halima Jibril & Annina Kaltenbrunner & Effi Kesidou, 2018. "Financialisation and innovation in emerging economics," FMM Working Paper 27-2018, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    14. Roland Standert, 2020. "R&D Spending and Stock Returns: Evidence from Germany," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 10(2), pages 68-75.
    15. Cammarano, Antonello & Michelino, Francesca & Lamberti, Emilia & Caputo, Mauro, 2017. "Accumulated stock of knowledge and current search practices: The impact on patent quality," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 204-222.
    16. Sirin, Selahattin Murat, 2025. "The green transition and tech firms' financial performance: Insights from patent data," Global Finance Journal, Elsevier, vol. 65(C).
    17. Giovanni Dosi & Valérie Revest & Alessandro Sapio, 2016. "Financial regimes, financialization patterns and industrial performances : preliminary remarks," Post-Print halshs-01418040, HAL.
    18. Daniela Grieco, 2018. "Innovation and stock market performance: A model with ambiguity-averse agents," Journal of Evolutionary Economics, Springer, vol. 28(2), pages 287-303, April.
    19. Kathryn Rudie Harrigan & Maria Chiara Guardo & Elona Marku, 2018. "Patent value and the Tobin’s q ratio in media services," The Journal of Technology Transfer, Springer, vol. 43(1), pages 1-19, February.
    20. Antonello Cammarano & Mauro Caputo & Emilia Lamberti & Francesca Michelino, 2017. "R&D Collaboration Strategies for Innovation: An Empirical Study Through Social Network Analysis," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-24, February.
    21. Shahzad, Farrukh & Ahmad, Munir & Fareed, Zeeshan & Wang, Zhenkun, 2022. "Innovation decisions through firm life cycle: A new evidence from emerging markets," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 51-67.
    22. Shuman Zhang & Changhong Yuan & Chen Han, 2020. "Industry–university–research alliance portfolio size and firm performance: the contingent role of political connections," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1505-1534, October.
    23. Marwil J. Dávila-Fernández & Lionello F. Punzo, 2018. "A Multi-Sectoral Approach to Financialisation," Department of Economics University of Siena 794, Department of Economics, University of Siena.

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    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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