Continuous Empirical Characteristic Function Estimation of Mixtures of Normal Parameters
This paper develops an e±cient method for estimating the discrete mix- tures of normal family based on the continuous empirical characteristic function (CECF). An iterated estimation procedure based on the closed form objective distance function is proposed to improve the estimation effciency. The results from the Monte Carlo simulation reveal that the CECF estimator produces good finite sample properties. In particular, it outperforms the discrete type of methods when the maximum likelihood estimation fails to converge. An empirical example is provided for illustrative purposes.
|Date of creation:||Dec 2008|
|Date of revision:|
|Contact details of provider:|| Postal: Waterloo, Ontario, N2L 3G1|
Phone: (519) 888-4567 ext 33695
Fax: (519) 725-0530
Web page: http://economics.uwaterloo.ca/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jiang, George J & Knight, John L, 2002. "Estimation of Continuous-Time Processes via the Empirical Characteristic Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 198-212, April.
- Kien Tran, 1998. "Estimating mixtures of normal distributions via empirical characteristic function," Econometric Reviews, Taylor & Francis Journals, vol. 17(2), pages 167-183.
- Knight, John L. & Yu, Jun, 2002.
"Empirical Characteristic Function In Time Series Estimation,"
Cambridge University Press, vol. 18(03), pages 691-721, June.
- Knight, John & Yu, Jun, 1999. "Empirical Characteristic Function in Time Series Estimation," Working Papers 220, Department of Economics, The University of Auckland.
- French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
When requesting a correction, please mention this item's handle: RePEc:wat:wpaper:08006. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Pat Gruber)
If references are entirely missing, you can add them using this form.