Optimal Switching Decisions Under Stochastic Volatility with Fast Mean Reversion

We study infinite-horizon, optimal switching problems for underlying processes that exhibit "fast" mean-reverting stochastic volatility. We obtain closed-form analytic approximations of the solution for the resulting quasi-variational inequalities, that provide quantitative and qualitative results for the effects of multi-scale variability of the underlying process on the optimal switching rule. The proposed methodology is applicable to a number of operations research problems involving switching flexibility