DocumentCode :
3110883
Title :
Portfolio Management of Option-Based Investment in Technology Research and Development
Author :
Choungsirakulwit, Jirawute ; Sutivong, Daricha
Author_Institution :
Chulalongkorn Univ., Bangkok
fYear :
2007
fDate :
11-13 July 2007
Firstpage :
732
Lastpage :
737
Abstract :
This paper proposes a quantitative model for balancing and optimizing portfolio of R&D projects. The model focuses on two dimensions of uncertainty - market and technical - to formulate R&D portfolio budget allocation problem. The investment is broken into two critical stages, namely R&D phase and commercialization phase. The real options analysis is then employed to allow for management flexibility, such as to defer the investment or to stop and later restart the investment costlessly. We utilize Monte- Carlo simulation technique to illustrate the model calculation using Gillette´s MACH3 numerical data. The simulation and sensitivity analysis results, which are studied through risk-return tradeoff, offer comparison and recommendation of an optimal portfolio management of R&D investment projects.
Keywords :
Monte Carlo methods; investment; project management; research and development management; risk analysis; Monte-Carlo simulation technique; R&D portfolio budget allocation problem; market uncertainty; optimal portfolio management; option-based investment; research and development; risk behavior; technical uncertainty; technology R&D projects; Analytical models; Commercialization; Investments; Portfolios; Project management; Research and development; Research and development management; Sensitivity analysis; Technology management; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2007. ICIS 2007. 6th IEEE/ACIS International Conference on
Conference_Location :
Melbourne, Qld.
Print_ISBN :
0-7695-2841-4
Type :
conf
DOI :
10.1109/ICIS.2007.150
Filename :
4276469
Link To Document :
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