Option Pricing in Incomplete Markets Based on Partial Information

摘要

In this paper we describe a new approach for the valuation problem in incomplete markets with m ≥ 1 stocks which can be used when the available information about the uncertainty model is only a partial conditional probability assessment p. We select a risk neutral probability minimizing a discrepancy measure between p and the convex set of all possible risk neutral probabilities.