Kristensen, Dennis (2004) Estimation in two classes of semiparametric diffusion models. Financial Markets Group Discussion Papers (500). Financial Markets Group, The London School of Economics and Political Science, London, UK.
|
PDF
- Published Version
Download (585kB) | Preview |
Abstract
In this paper we propose an estimation method for two classes of semiparametric scalar diffusion models driven by a Brownian motion: In the first class, only the diffusion term is parameterised while the drift is unspecified; in the second, the drift term is specified while the diffusion term is of unknown form. The estimation method is based on the assumption of stationarity of the observed process. This allows us to express the unspecified term as a functional of the parametric part and the stationary density. A MLE-like estimator for the parametric part and a kernel estimator the nonparametric part are defined for a discrete sample with a fixed time distance between the observations. We show that the parametric part of the estimator is √n-consistent, while the nonparametric part has a slower convergence rate. Also, the asymptotic distribution of the estimator derived. We give a brief discussion of the issue of semiparametric efficiency, and present a small simulation study of the finite-sample performance of our estimator.
| Item Type: | Monograph (Discussion Paper) |
|---|---|
| Official URL: | http://fmg.ac.uk |
| Additional Information: | © 2004 The Author |
| Divisions: | Financial Markets Group |
| Subjects: | H Social Sciences > HG Finance H Social Sciences > HB Economic Theory |
| JEL classification: | C - Mathematical and Quantitative Methods > C0 - General > C00 - General |
| Date Deposited: | 06 Aug 2009 08:58 |
| Last Modified: | 11 Dec 2024 18:38 |
| URI: | http://eprints.lse.ac.uk/id/eprint/24739 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics