Title :
An Approach to Select Pareto-Optimal VC Project Portfolios
Author :
Li Chun-Hao ; Du Yuan-Wei
Author_Institution :
Sch. of Manage., Jilin Univ., Changchun
Abstract :
To solve the problems of current portfolio selection methods of venture capital (VC) projects, resulting from the capital indivisibility and the scrutability of return of investment (ROI) of VC projects, two key concepts of project portfolio preference rate (TPR) and the variance of TPR (VTPR) are defined based on the project evaluation criteria (PEC) for VC projects, using the technical thought of mean-variance (MV) model. On the basis of TPR and VTPR, a model named VCP- DEA/AR, which is able to derive the Pareto-optimal project portfolios, is presented by way of the principle of data envelopment analysis (DEA) with assurance region (AR). Applied to an illustrative example, the VCP-DEA/AR model is proved to be scientific, reasonable, and well applicable to real-world portfolio-selection problem of VC.
Keywords :
Pareto optimisation; data envelopment analysis; venture capital; Pareto-optimal VC project portfolios; assurance region; capital indivisibility; data envelopment analysis; mean-variance model; portfolio selection methods; project evaluation criteria; project portfolio preference rate; return-of-investment scrutability; venture capital project; Data envelopment analysis; Data security; Finance; Investments; Portfolios; Project management; Technological innovation; Uncertainty; Venture capital; Virtual colonoscopy;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.1028
