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The Determinants of Investor Valuation of R&D Expenditure in the Software Industry

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  • C. Catherine Chiang
  • Yaw M. Mensah

Abstract

This paper examines the cross-sectional variability in the market valuation of R&D expenditures in the pre-packaged computer software industry. Consistent with some prior research, this paper argues that R&D spending is valued heterogeneously by the stock market, and derives hypotheses regarding the determinants of the cross-sectional heterogeneity in the market valuation of R&D. The empirical tests use an extensive database containing product level information of software firms between 1994 and 1998, along with accounting and stock price data of the same period. The test results, consistent with our hypotheses, show that R&D spending is more valuable for firms with larger market shares, higher percentage of technical employees, and those that have diversified into different product categories. The results also indicate that market valuation of R&D spending is a function of product life cycle.

Suggested Citation

  • C. Catherine Chiang & Yaw M. Mensah, 2004. "The Determinants of Investor Valuation of R&D Expenditure in the Software Industry," Review of Quantitative Finance and Accounting, Springer, vol. 22(4), pages 293-313, June.
  • Handle: RePEc:kap:rqfnac:v:22:y:2004:i:4:p:293-313
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    Cited by:

    1. Yasean A. Tahat & Ahmed H. Ahmed & Mohammad M. Alhadab, 2018. "The impact of intangibles on firms’ financial and market performance: UK evidence," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1147-1168, May.
    2. Ana Cunha & José Moreira, 2010. "Relevância informativa das Despesas de Investigação e Desenvolvimento: um estudo para o caso português," Notas Económicas, Faculty of Economics, University of Coimbra, issue 31, pages 06-23, June.
    3. Ioniţă Cătălin Gabriel, 2022. "Exploration vs. Exploitation: How Innovation Strategies Impact Firm Performance and Competitive Advantage," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 31-46, August.
    4. Bradley, Wendy A. & Kolev, Julian, 2023. "How does digital piracy affect innovation? Evidence from software firms," Research Policy, Elsevier, vol. 52(3).
    5. Thomas Canace & Steven Mann, 2014. "The impact of technology-motivated M&A and joint ventures on the value of IT and non-IT firms: a new examination," Review of Quantitative Finance and Accounting, Springer, vol. 43(2), pages 333-366, August.
    6. Denise A. Jones, 2018. "Using real options theory to explain patterns in the valuation of research and development expenditures," Review of Quantitative Finance and Accounting, Springer, vol. 51(3), pages 575-593, October.
    7. 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.
    8. Re-Jin Guo & Nan Zhou, 2016. "Innovation capability and post-IPO performance," Review of Quantitative Finance and Accounting, Springer, vol. 46(2), pages 335-357, February.
    9. Jian Xu & Jae-Woo Sim, 2018. "Characteristics of Corporate R&D Investment in Emerging Markets: Evidence from Manufacturing Industry in China and South Korea," Sustainability, MDPI, vol. 10(9), pages 1-18, August.

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