A cardinality constrained stochastic goal programming model with satisfaction functions for venture capital investment decision making
Venture capital has proven to be an essential resource for economic growth, especially in some technological clusters. The focus is on the way the venture capitalist makes the investment decision and the portfolio selection. The aim of this paper is to formulate the venture capital investment problem through the Goal Programming model where the Financial Decision-Makers preferences will be explicitly incorporated through the concept of satisfaction functions. The proposed model will be illustrated by using data from an Italian venture capital fund.
goal programming satisfaction functions venture capital financial decision-makers preferences financial portfolio selection cardinality constrained optimization