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I am pretty new here, I would like to ask if there are functions to call GARCH in real time.
If not, are there tutorials or sample codes I could copy to calculate GARCH for volatility of different stocks?
Thanks a lot!
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Derek Melchin
Hi Aaa,
Our API does not provide any GARCH methods. We also don't currently have any example algorithms implementing the model. There are many online tutorials that demonstrate how to build them though. Try following this tutorial, which uses the arch library.
Best,
Derek Melchin
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
Aaron Janeiro Stone
as Derek Melchin mentioned, one should use the arch package. I have used it in the past; fitting a GJR GARCH(1,1) is actually as simple as:
from arch import arch_model def volpred(returns,h): am = arch_model(returns, p=1,o=1, q=1, vol='Garch', dist='skewt') res = am.fit(disp='off') forecasts=res.forecast(horizon=h, method='simulation') return forecasts.variance.iloc[-1]where [-1] is used because it is being forecasted from the last index point (odd, I know). Read more @
https://arch.readthedocs.io/en/latest/univariate/generated/arch.univariate.GARCH.html#arch.univariate.GARCHÂ
Aaa vvv
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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