Abstract
In this paper, a mean-square minimization problem under terminal wealth constraint with partial observations is studied. The problem is naturally connected to the mean–variance hedging (MVH) problem under incomplete information. A new approach to solving this problem is proposed. The paper provides a solution when the underlying pricing process is a square-integrable semi-martingale. The proposed method for study is based on the martingale representation. In special cases, the Clark–Ocone representation can be used to obtain explicit solutions. The results and the method are illustrated and supported by examples with two correlated geometric Brownian motions.
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