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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

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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