Parametric Approaches (II): Extreme Value (FRM Part 2 2023 - Book 1 - Chapter 3)

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  • เผยแพร่เมื่อ 20 ส.ค. 2024

ความคิดเห็น • 19

  • @Alex-yi7ck
    @Alex-yi7ck 3 ปีที่แล้ว +1

    It definitely helped me. Thank you professor.
    -Respect from South Korea-

  • @LifelongStudentBelgium
    @LifelongStudentBelgium ปีที่แล้ว +1

    So much easier to walk through the chapter with your detailed explanation. Would have stared for hours

    • @analystprep
      @analystprep  ปีที่แล้ว

      You're very welcome! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a Google review using this link: g.page/r/CQIlM78xSg01EB0/review

  • @user-vm9ud8vd4s
    @user-vm9ud8vd4s 11 หลายเดือนก่อน +1

    very nice, clear and concise with great visual explanation🎉

    • @analystprep
      @analystprep  11 หลายเดือนก่อน

      Glad it was helpful! If you like our video lessons, it would be appreciated if you could take 2 minutes of your time to leave us a review here: trustpilot.com/review/analystprep.com

  • @nikhiltrivedi9778
    @nikhiltrivedi9778 4 ปีที่แล้ว +2

    Thank you, Professor James.
    this video was of great help.
    ---Love from India :)

    • @analystprep
      @analystprep  4 ปีที่แล้ว

      You're most welcome!

  • @amandixit2750
    @amandixit2750 4 ปีที่แล้ว +1

    lucid and Concise. Keep up the good work!

  • @willarn1
    @willarn1 4 ปีที่แล้ว +2

    Great summary

  • @hazemgalal8562
    @hazemgalal8562 4 ปีที่แล้ว

    keep going prof.james
    amazing content & description
    and we need series about operational risk
    good luck prof

    • @analystprep
      @analystprep  4 ปีที่แล้ว

      You're welcome. The operational risk chapter is coming right after finishing credit risk.

  • @camillechen345
    @camillechen345 3 ปีที่แล้ว

    very helpful video

  • @ameliedeclercq8631
    @ameliedeclercq8631 2 ปีที่แล้ว

    Hi, I was wondering how you use the model on data. I need to use EVT to estimate the VaR of some data (of stock market spreads to be precise), but in this clip you only use sample size as an empirical parameter. Could you explain me how I should do that?