In the paper we propose a stochastic model, based on a Vasicek non-homogeneous diffusion process, in which the trend coefficient and the volatility are deterministic time-dependent functions. The stochastic inference based on discrete sampling in time is established using a methodology based on the moments of the stochastic process. In order to evaluate the goodness of the proposed methodology a simulation study is discussed.
Inference in a Non-Homogeneous Vasicek-type Model
Giuseppina Albano
Membro del Collaboration Group
;Virginia GiornoMembro del Collaboration Group
2018-01-01
Abstract
In the paper we propose a stochastic model, based on a Vasicek non-homogeneous diffusion process, in which the trend coefficient and the volatility are deterministic time-dependent functions. The stochastic inference based on discrete sampling in time is established using a methodology based on the moments of the stochastic process. In order to evaluate the goodness of the proposed methodology a simulation study is discussed.File in questo prodotto:
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