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Valuing new drug R&D project under economic fluctuation, technical risks and subjective uncertainty

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  • Zhao, Pingping
  • Wang, Tong
  • Song, Aimin
  • Chen, Peimin

Abstract

In the process of research and development (R&D) projects on new drugs, firms must face many challenges. The most serious challenges mainly come from economic fluctuations, technical risks, uncertainty of decision-maker’s subjective judgment. Troubled by these uncertain factors, how we can accurately evaluate new drug R&D projects is a very urgent and necessary problem for the management of firms. In this paper, we present a new value model on a compound real option to evaluate the new drug R&D project under economic fluctuations, technical risks and subjective uncertainty. The randomness and fuzziness of economic fluctuations are modeled by a standard fractional Brownian motion and a trapezoidal fuzzy stochastic process, respectively. The technical risks are expressed by a Poisson-type jump process, which allows for the catastrophic impact of the technical risk and thus abandonment of the new drug R&D project. The uncertainty of decision-maker’s subjective judgment is characterized by a mean value with the possibility–necessity weight, the pessimistic–optimistic index and the fuzzy risk aversion index. By using the real options approach, we achieve analytic solutions for the value models of new drugs R&D projects. A case study and analysis is also employed to emphasize the practical application of this innovative value model. We show that the uncertainties have a significant impact on the new drug R&D option value to some extent. Moreover, from the case of sensitivity analysis, some results are presented to illustrate that the value of new drug R&D project is increasing with respect to the right fuzzy factor and decreasing with respect to the left fuzzy factor, the technical risk of discovery phase, the technical risk of pre-clinical phase and the technical risk of clinical phase.

Suggested Citation

  • Zhao, Pingping & Wang, Tong & Song, Aimin & Chen, Peimin, 2023. "Valuing new drug R&D project under economic fluctuation, technical risks and subjective uncertainty," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:chsofr:v:172:y:2023:i:c:s0960077923004186
    DOI: 10.1016/j.chaos.2023.113517
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    References listed on IDEAS

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    1. repec:bla:jfinan:v:43:y:1988:i:5:p:1235-56 is not listed on IDEAS
    2. Pennings, Enrico & Sereno, Luigi, 2011. "Evaluating pharmaceutical R&D under technical and economic uncertainty," European Journal of Operational Research, Elsevier, vol. 212(2), pages 374-385, July.
    3. Qiang Dai & Kenneth J. Singleton, 2000. "Specification Analysis of Affine Term Structure Models," Journal of Finance, American Finance Association, vol. 55(5), pages 1943-1978, October.
    4. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    5. Cassimon, D. & De Backer, M. & Engelen, P.J. & Van Wouwe, M. & Yordanov, V., 2011. "Incorporating technical risk in compound real option models to value a pharmaceutical R&D licensing opportunity," Research Policy, Elsevier, vol. 40(9), pages 1200-1216.
    6. Marta Biancardi & Giovanni Villani, 2017. "Robust Monte Carlo Method for R&D Real Options Valuation," Computational Economics, Springer;Society for Computational Economics, vol. 49(3), pages 481-498, March.
    7. Pennings, Enrico & Lint, Onno, 1997. "The option value of advanced R & D," European Journal of Operational Research, Elsevier, vol. 103(1), pages 83-94, November.
    8. Stewart C. Myers, 1984. "Finance Theory and Financial Strategy," Interfaces, INFORMS, vol. 14(1), pages 126-137, February.
    9. Cassimon, D. & Engelen, P. J. & Thomassen, L. & Van Wouwe, M., 2004. "The valuation of a NDA using a 6-fold compound option," Research Policy, Elsevier, vol. 33(1), pages 41-51, January.
    10. Guglielmo D’Amico & Giovanni Villani, 2021. "Valuation of R&D compound option using Markov chain approach," Annals of Finance, Springer, vol. 17(3), pages 379-404, September.
    11. Yu-Lin Huang & Chai-Chi Pi, 2009. "Valuation of multi-stage BOT projects involving dedicated asset investments: a sequential compound option approach," Construction Management and Economics, Taylor & Francis Journals, vol. 27(7), pages 653-666.
    12. Eduardo S. Schwartz & Carlos Zozaya-Gorostiza, 2003. "Investment Under Uncertainty in Information Technology: Acquisition and Development Projects," Management Science, INFORMS, vol. 49(1), pages 57-70, January.
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