Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-28T15:12:11.501Z Has data issue: false hasContentIssue false

03.5.2. Consistent Standard Errors for Target Variance Approach to GARCH Estimation—Solution

Published online by Cambridge University Press:  01 October 2004

Dennis Kristensen
Affiliation:
London School of Economics
Oliver Linton
Affiliation:
London School of Economics

Extract

Consistent standard errors for target variance approach to GARCH estimation.

Type
PROBLEMS AND SOLUTIONS
Copyright
© 2004 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Carrasco, M. & X. Chen (2002) Mixing and moment properties of various GARCH and stochastic volatility models. Econometric Theory 18, 1739.Google Scholar
He, C. & T. Teräsvirta (1999) Fourth moment structure of the GARCH(p,q) process. Econometric Theory 15, 824846.Google Scholar
Lee, S.-W. & B. Hansen (1994) Asymptotic theory for the GARCH(1,1) quasi-maximum likelihood estimator. Econometric Theory 10, 2953.Google Scholar
Newey, W.K. & D.L. McFadden (1994) Large sample estimation and hypothesis testing. In R.F. Engle & D.L. McFadden (eds.), Handbook of Econometrics, vol. 4, chap. 36. Elsevier.
Newey, W.K. & K.D. West (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55, 703708.Google Scholar
Tauchen, G.E. (1985) Diagnostic testing and evaluation of maximum likelihood models. Journal of Econometrics 30, 415443.Google Scholar