Extremes of totally skewed α-stable processes

We give upper and lower bounds for the probability for a local extrema of a totally skewed α-stable stochastic process. Often these bounds are sharp and coincide. The Gaussian case α=2 is not excluded, and there our results slightly improve existing general bounds. Applications focus on moving averages and fractional α-stable motions.