Time Series Analysis using Python | The GARCH Model

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  • เผยแพร่เมื่อ 19 ก.ย. 2024

ความคิดเห็น • 7

  • @lfalfa8460
    @lfalfa8460 5 หลายเดือนก่อน

    Thank you very much for the series. It is really informative and fun to watch and do. Could you please cite the paper with the mathematical proof that no higher-order GARCH outperforms the GARCH(1,1) model?

  • @benjaminhowson2411
    @benjaminhowson2411 4 ปีที่แล้ว

    Great content, and loved the format!

  • @rijiak1082
    @rijiak1082 ปีที่แล้ว

    Thank you for the great content. I learnt a lot. I was trying few things after watching the videos and got stuck.
    Q1. I have a AR(3)-GJR-GARCH(2,2,2) model like below. How can I test if the model has any leverage effect with 5% significance level? Which test do I run?
    best_gjr_garch = arch_model(in_sample_return[ticker],mean='AR',lags =3 ,vol='GARCH',p=2,o=2,q=2,dist='t').fit(update_freq=5)
    Q2. I also have a AR(3)-GJR-GARCH-M(2, 2, 2) model, how can I test the impact of risk on expected return at 5% significance level?
    Please help me with the method, I am really stuck. Plz plz help.

  • @akshaysaraswat94
    @akshaysaraswat94 3 หลายเดือนก่อน

    Where i can find this code

  • @crypto-nik8633
    @crypto-nik8633 4 ปีที่แล้ว +2

    i created the return on a stock(daily) in a list now i want to estimate the volatility for next day using GARCH model but i dont know how to implement maximum likelihood method.
    can you help?

    • @ObjectiveInquiry
      @ObjectiveInquiry ปีที่แล้ว

      th-cam.com/video/3boMYvIzGQ8/w-d-xo.htmlsi=oEBSD2c_jyidYwIL

  • @shravanthj4389
    @shravanthj4389 3 ปีที่แล้ว +1

    This code shows an error