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This repository has been archived by the owner on Jun 10, 2020. It is now read-only.
Given #37, you should fill in the continuous_time_methods\matlab\tests\time_varying_optimal_stopping_diffusion_test.m tests with important tests to make sure you think the method is correct, and delivers sensible results. I threw in a few starting points, but they are not really verified.
Check that if we have constant $\mu,\sigma^2,S,u$ but multiple time periods, that the value functions and stopping point are the same.
Have the S function increasing over time, and make sure that both (a) the $x$ at which stopping occurs is increasing, but also that the point at which stopping occurs is strictly greater than it is for a constant S at that point (i.e., agents would wait around for the S to grow and stop less)
Do the same with a decreasing S
Do the same with a $u(t,x)$ that is time varying. Ensure it moves large enough that we get more than trivial changes in the soluion.
Try to have a time-varying $\mu(t,x)$ and make sure that the solution is sensible from an agents perspective.
The text was updated successfully, but these errors were encountered:
Given #37, you should fill in the
continuous_time_methods\matlab\tests\time_varying_optimal_stopping_diffusion_test.m
tests with important tests to make sure you think the method is correct, and delivers sensible results. I threw in a few starting points, but they are not really verified.The text was updated successfully, but these errors were encountered: