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2004

Diffusion process; Poisson jump; Self-exciting; GMM; Jumpclustering

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Empirical Characteristic Function Estimation And Its Applications, Jun Yu Jan 2004

Empirical Characteristic Function Estimation And Its Applications, Jun Yu

Research Collection School Of Economics

This paper reviews the method of model-fitting via the empirical characteristic function. The advantage of using this procedure is that one can avoid difficulties inherent in calculating or maximizing the likelihood function. Thus it is a desirable estimation method when the maximum likelihood approach encounters difficulties but the characteristic function has a tractable expression. The basic idea of the empirical characteristic function method is to match the characteristic function derived from the model and the empirical characteristic function obtained from data. Ideas are illustrated by using the methodology to estimate a diffusion model that includes a self-exciting jump component. A …