After briefly recalling the definition and main properties of stable laws, we discuss issues of parameters estimation and numerical methods for computer simulation of stable random variables. We overview the basic properties of stable processes, in particular of Levy and fractional stable motions. Finally, we discuss the application of the stable assumption in two classical problems from statistics and mathematical finance: regression with stable errors, and option pricing with stable distributed returns