We examine the properties of alternative GMM procedures for estimation of the lognormal stochastic autoregressive volatility model through a large scale Monte Carlo study. We demonstrate that there is a fundamental trade-off between the number of moments, or information, included in estimation and the quality, or precision, of the objective function used for estimation. We provide a fairly transparent characterization of the trade-off in the present model. Furthermore, a large sample approximation to the optimal weighting matrix is utilized to explore the impact of the weighting matrix for estimation, specification testing and inference procedures, and to obtain practical efficiency bounds for the given class of GMM estimators. The results provide guidelines for obtaining desirable finite sample properties through the choice of the appropriate estimation design, and although the findings are specific to the model, the conclusions are likely to apply to a wide range of settings characterized by strong conditional heteroskedasticity and correlation among the moments.
Download Info
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page
whether it is in fact available.
3. Perform a search for a similarly titled item that would be
available.
Publisher Info
Paper provided by University of Copenhagen. Department of Economics in its series Discussion Papers with number
95-19.
Length: 31 pages Date of creation: Dec 1995 Date of revision: Publication status: Published in: Journal of Business and Economic Statistics 14(3) 1996, 328-352 Handle: RePEc:kud:kuiedp:9519
Contact details of provider: Postal: Øster Farimagsgade 5, Building 26, DK-1353 Copenhagen K., Denmark Phone: (+45) 35 32 26 26 Fax: +45 35 32 30 00 Web page: http://www.econ.ku.dk More information through EDIRC
Order Information: Email:
For technical questions regarding this item, or to correct its listing, contact: (Henriette Aabo Hansen).
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
Cited by: (explanations, 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.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.