TY - JOUR
T1 - Developing an improved risk-adjusted net present value technology valuation model for the biopharmaceutical industry
AU - Woo, Jonghak
AU - Kim, Eungdo
AU - Sung, Tae Eung
AU - Lee, Jongtaik
AU - Shin, Kwangsoo
AU - Lee, Jeonghee
N1 - Publisher Copyright:
© 2019 by the authors.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - The financial valuation of a drug that is still under development is required for various purposes. The risk-adjusted net present value (r-NPV) method, which recently emerged in the biotech industry, uses the development attrition rate as a discount factor to reflect risk during each development phase. The r-NPV method was developed to overcome the disadvantages of the prevailing discounted cash flow and real options methods and considers drug type, as well as the stage of development in its approach. Using this method, the current study examines technology values in the biopharmaceutical industry and matches the clinical development periods and success rates of these new drugs by analyzing datasets from ClinicalTrials.gov and MedTrack DB. It thus provides support for an empirical valuation model for experts in the field. Notably, there is limited research on the attrition rate and development period of new substance drugs and the research results are not consistently presented. In addition to new substance drugs, further research is necessary to deepen understanding of the attrition rate and development period of biologically-based drugs because of their inherent physical and developmental differences. Similarly, research on performance specifics within drug class models would enable refinement of the model.
AB - The financial valuation of a drug that is still under development is required for various purposes. The risk-adjusted net present value (r-NPV) method, which recently emerged in the biotech industry, uses the development attrition rate as a discount factor to reflect risk during each development phase. The r-NPV method was developed to overcome the disadvantages of the prevailing discounted cash flow and real options methods and considers drug type, as well as the stage of development in its approach. Using this method, the current study examines technology values in the biopharmaceutical industry and matches the clinical development periods and success rates of these new drugs by analyzing datasets from ClinicalTrials.gov and MedTrack DB. It thus provides support for an empirical valuation model for experts in the field. Notably, there is limited research on the attrition rate and development period of new substance drugs and the research results are not consistently presented. In addition to new substance drugs, further research is necessary to deepen understanding of the attrition rate and development period of biologically-based drugs because of their inherent physical and developmental differences. Similarly, research on performance specifics within drug class models would enable refinement of the model.
KW - Clinical trials development period
KW - Discounted cash flow
KW - Likelihood of approval
KW - Net present value
KW - Possibility of success
KW - Risk adjusted valuation
UR - https://www.scopus.com/pages/publications/85073104221
U2 - 10.3390/joitmc5030045
DO - 10.3390/joitmc5030045
M3 - Article
AN - SCOPUS:85073104221
SN - 2199-8531
VL - 5
JO - Journal of Open Innovation: Technology, Market, and Complexity
JF - Journal of Open Innovation: Technology, Market, and Complexity
IS - 3
M1 - 45
ER -