Session 8: Estimating Hurdle Rates - Regression Betas

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  • เผยแพร่เมื่อ 20 พ.ค. 2024
  • Look at how a regression of stock against market returns can help us understanding stock price performance and risk.

ความคิดเห็น • 21

  • @jamesclerkmaxwell676
    @jamesclerkmaxwell676 8 ปีที่แล้ว +23

    You can see the professors desire for finance , it's truly captivating hearing him speak .

  • @anopvalimbe
    @anopvalimbe 9 ปีที่แล้ว +9

    Amazing. Thank you! so much for this online course.

  • @wilsonnjunior17
    @wilsonnjunior17 7 ปีที่แล้ว +4

    Professor, you're amazing! Thank you so much for share your knowledge with us

  • @ak7586
    @ak7586 7 ปีที่แล้ว

    The assumed knowledge as a precondition is quite advanced which is great! So far the entire delivery of the course is great! Thank you soooo much. A.

  • @life_seeker
    @life_seeker 8 ปีที่แล้ว +2

    Thank you soo much for these videos. they are very very very helpful

  • @Blazetoamaze
    @Blazetoamaze 4 ปีที่แล้ว

    This is so clear, thank you so much for uploading

  • @kartikgoyal8048
    @kartikgoyal8048 2 ปีที่แล้ว

    Just Wow . Top Class ! He is just a amazing professor . Thanks sir

  • @dr.seoheepark360
    @dr.seoheepark360 9 ปีที่แล้ว

    Thank you for your lectures..

  • @samueln3630
    @samueln3630 9 ปีที่แล้ว

    Very helpful. Thank you!

  • @prashantgunjal3465
    @prashantgunjal3465 10 หลายเดือนก่อน

    woow i mean this connections of the concepts is just magical

  • @VOGASforVeinOfGoldAndSilver
    @VOGASforVeinOfGoldAndSilver 2 ปีที่แล้ว

    Thank you professor.

  • @jai_jpg
    @jai_jpg ปีที่แล้ว

    Where can we get the slides for these short sessions? They are really crisp, clear and perfect!

  • @PedroAgiman
    @PedroAgiman 5 ปีที่แล้ว

    One thing that i dont understand very well, why you need so big returns with this risk? in the same way that can give you less than you expect can give you more, and if you are a diversified investor this divergences go away. why you need such a big returns?

  • @arushtayal8365
    @arushtayal8365 6 ปีที่แล้ว +1

    At the start of the video you said, beta is just a number, but at 14:30, you say beta is a range.

  • @wyattfriedman8389
    @wyattfriedman8389 3 ปีที่แล้ว

    Does anyone have insight on the accuracy of the Jensen alpha when the R-squared value to the index is very low (

  • @rodrigoribeirovieira2894
    @rodrigoribeirovieira2894 4 ปีที่แล้ว

    Application test: Analysing the Risk Regression --> 19:56 minute

  • @kimonash
    @kimonash 6 ปีที่แล้ว +1

    can beta be neglected when evaluating projects ?!

    • @pranavshrestha4953
      @pranavshrestha4953 4 ปีที่แล้ว +1

      No. You need expected return to evaluate projects and beta is required when calculating expected return.

  • @cosmogamer9914
    @cosmogamer9914 4 ปีที่แล้ว +2

    Novice finance student here: I am having trouble seeing where he got the risk premium of 5.76% for Disney, where did he figure that percentage from?

    • @cosmogamer9914
      @cosmogamer9914 4 ปีที่แล้ว

      @JOAQUIN ULLOA CORREA thanks

    • @diogoalmeidafreire9612
      @diogoalmeidafreire9612 4 ปีที่แล้ว +3

      Cosmo Gamer, the standard formula is Risk free + Beta x (Risk Free - Expected Return)
      What the professor did was simply subtract what is within parenthesis and therefore abbreviating the formula.How? For example, imagine your risk free rate is 3% and your excepted return is 8%, the premium ends up being 5%. In this case, that is exactly what the professor did, he subtracted the risk-free rate with the excepted return.
      Good luck with your studies!