Application of stochastic control theory to the optimal portfolio selection problem

Application of stochastic control theory to the optimal portfolio selection problem, in the case when portfolio consists of two assets with different level of risk is illustrated. Choosing power functions and natural logarithmic for the utility function, and using a converse of Hamilton-Jacobi-Bellman (HJB) theorem, the formula for optimal portfolio is derived.