The Black-Scholes-Merton Model (FRM Part 1 2023 - Book 4 - Chapter 15)

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  • Опубликовано: 18 окт 2024

Комментарии • 39

  • @davidgavan7921
    @davidgavan7921 Год назад +2

    What a man!!!

    • @analystprep
      @analystprep  Год назад

      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

  • @parnzpanuz
    @parnzpanuz 7 месяцев назад +1

    This should be the nobel prize. Thx.

    • @analystprep
      @analystprep  7 месяцев назад +1

      Glad you think so. 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

  • @ron3252
    @ron3252 2 года назад

    Thank you!

  • @CAGauravVerma
    @CAGauravVerma Год назад +1

    Great explaination! Always grateful.

  • @syeedmohammeduzzalhossain5452
    @syeedmohammeduzzalhossain5452 Год назад +12

    Your teaching is an "Absolute beauty", professor.

    • @analystprep
      @analystprep  Год назад +1

      Thank you! 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

  • @RandyVee733
    @RandyVee733 2 года назад +1

    amazing help. thank you so much

  • @fatemakhatunfayza7089
    @fatemakhatunfayza7089 3 года назад +4

    Nicely explained! Lot of thanks.

    • @analystprep
      @analystprep  3 года назад

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

  • @idrisstalbi2785
    @idrisstalbi2785 4 года назад +4

    Wonderful !!! THANK YOU SO MUCH !!!

  • @ahmadhilal2417
    @ahmadhilal2417 4 года назад +4

    very simplified and helpful.
    thank you!!

    • @analystprep
      @analystprep  4 года назад

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

  • @JoshMolina
    @JoshMolina 5 лет назад +8

    Great work! Thank you for sharing!

  • @linaelmoutaki5610
    @linaelmoutaki5610 2 года назад

    Thank you very much Professor Forjan

  • @jenericjoe7565
    @jenericjoe7565 2 года назад +2

    I would have failed all my units if I didn't have these videos to teach me, I sincerely thank you.

  • @netexponent6217
    @netexponent6217 Год назад

    Great one! I just have one question Black-Scholes model uses constant volatility. What do you mean by this? Because volatility changes when we apply iteration.

  • @henrynguyen6756
    @henrynguyen6756 2 года назад +2

    Thank you Professor Forjan. We need more videos from you.!

  • @yvesprimeau6031
    @yvesprimeau6031 5 лет назад +2

    Well done

    • @analystprep
      @analystprep  5 лет назад

      Thank you!

    • @n1kosv750
      @n1kosv750 4 года назад

      @@analystprep I wanna ask something. Why when you add one more step on the binominal tree the option value increase??

  • @j.l.5461
    @j.l.5461 3 года назад +2

    5:55 "Since lnSt is log-normally distributed". Isn't this wrong? lnSt is normally distributed as St is log-normally distributed.

  • @dhruthij7430
    @dhruthij7430 4 года назад +3

    Great class so nicely explained sir

  • @Disney124ddd
    @Disney124ddd 5 лет назад +3

    in the textbook the the black scholes model variance is SD• root of T, but here it’s using SD^2

    • @analystprep
      @analystprep  5 лет назад

      Hi Venus. Could you give us a timestamp?

    • @lfeng0766
      @lfeng0766 4 года назад

      @@analystprep 4:25 , it is different way of writing normal distribution. Written as N(u , variance) is the formal way, Written as N(u , Stdev) in the textbook is understood. At 6:09 the confidence interval is calculated correctly with stdev

    • @rutammokashi2146
      @rutammokashi2146 4 года назад +1

      (SD) x (Root of T) which is given in the textbook is just the root of (SD²) x (T) which is shown in this video.
      so, the textbook one gives you the standard deviation and the one here gives you the variance.
      it's basically the same thing.

    • @ishankjain2393
      @ishankjain2393 4 года назад

      @@rutammokashi2146 Its not the same thing. Here it is sigma square * square root of T but textbook, it is sigma square * T

    • @Mdigi1982
      @Mdigi1982 3 года назад +2

      @@ishankjain2393 I think its an error.

  • @Ninax280899
    @Ninax280899 2 года назад

    Why is return on time value different in d1 and d2?

  • @CC-vt5ev
    @CC-vt5ev Год назад

    The lognormal the return not simply stock price

  • @lifewithnasha
    @lifewithnasha 3 года назад

    Why do we use the model to price option

  • @pranav1394
    @pranav1394 5 лет назад +3

    You simplified that so well! Thank you!