A local likelihood density estimator is shown to have asymptotic bias depending on the dimension of the local parameterization. Comparing with kernel estimation it is demonstrated using a variety of bandwidths that we may obtain as good and potentially even better estimates using local...

A number of problems arise when dynamic programming is applied to investment problems. Attempts have been made to circumvent these problems by using continuous time models where the state process is generated by a stochastic differential equation. In this article, the authors assume that the...