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Can someone provide a typical numerical values of GARCH(1,1) coefficients $(\omega,\alpha,\beta)$ for estimating SPX index variance? I will appreciate it if some references could be provided.

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  • $\begingroup$ $\alpha$ somewhere in the vicinity of 0.1, $\beta$ close to $0.9$. $\omega=\sigma_{LR^2}(1-\alpha-\beta)$ where $\sigma_{LR}^2$ is the long-run variance. $\endgroup$ Nov 24 '17 at 19:37
  • $\begingroup$ @RichardHardy: Thank you. I agree with the rough range you listed. However, I would prefer a bit more precision for all the parameters. Whether $\beta$ is $0.9$ or $0.99$ makes a difference in effective decay length of the exponentially weighted sum. Do you have a number for $\omega$ or $\sigma^2_{\text{LR}}$? $\endgroup$
    – Hans
    Nov 24 '17 at 22:05
  • $\begingroup$ I do not. Sorry. $\endgroup$ Nov 25 '17 at 8:49
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Have found that using Alpha =0.06, Beta =0.93, omega =0.01 works fairly well. That is from calibrating to histories over quite long time periods.

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  • $\begingroup$ Is this for SPX? $\endgroup$
    – Hans
    Nov 25 '17 at 22:42
  • $\begingroup$ Eurostox but expect SPX will be the same $\endgroup$
    – James65
    Nov 25 '17 at 22:44

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