Abstract
We develop a solution method for American put options that directly employs the policy iteration principle of dynamic programming. The method iteratively improves exercise policies, obtains monotonically increasing value functions and converges quadratically under reasonable assumptions. We present a numerical implementation that exhibits these features. The same principle is also applied to obtain a monotonically improving policy iteration scheme for general free boundary optimal control problems.
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