In this paper we are dealt with numerical studies concerning the identification of purely time-dependent volatilities from given option price data. We consider two different solution approaches which are investigated by a detailed case study, whereby we focus on solution stability. There are considered the influence of various market parameters on the solvability and different modifications of the algorithms. In particulary, the problem of regularization plays an important role.
Keywords:
Black-Scholes formula, inverse problems of option pricing, identification of local volatilities, ill-posed problem, regularization, numerical case study