Market-Based Valuation, Price and Enterprise Value Multiples (2024 Level II CFA® Exam -Module 4)

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Topic 5 - Equity
Module 4 - Market-Based Valuation, Price and Enterprise Value Multiples
0:00 Introduction and LOS Outcome Statements
4:46 LOS: Distinguish between the method of comparables and the method based on forecasted fundamentals as approaches to using price multiples in valuation, and explain economic rationales for each approach.
8:08 LOS: Calculate and interpret a justified price multiple.
11:38 LOS: Describe rationales for and possible drawbacks to using alternative price multiples and dividend yield in valuation.
14:25 LOS: Calculate and interpret the justified leading and trailing P/Es using the Gordon growth model.
17:07 LOS: Calculate and interpret underlying earnings, explain methods of normalizing earnings per share (EPS), and calculate normalized EPS.
27:46 LOS: Explain and justify the use of earnings yield (E/P).
30:15 LOS: Describe fundamental factors that influence alternative price multiples and dividend yield.
30:54 LOS: Calculate and interpret the justified price-to-earnings ratio (P/E), price-to-book ratio (P/B), and price-to-sales ratio (P/S) for a stock, based on forecasted fundamentals.
36:17 LOS: Calculate and interpret a predicted P/E, given a cross-sectional regression on fundamentals, and explain limitations to the cross-sectional regression methodology.
39:22 LOS: Evaluate a stock by the method of comparables and explain the importance of fundamentals in using the method of comparables.
45:43 LOS: Calculate and interpret the P/E-to-growth ratio (PEG) and explain its use in relative valuation.
48:12 LOS: Calculate and explain the use of price multiples in determining terminal value in a multistage discounted cash flow (DCF) model.
50:34 LOS: Explain alternative definitions of cash flow used in price and enterprise value (EV) multiples and describe limitations of each definition.
51:34 LOS: Calculate and interpret EV multiples and evaluate the use of EV/EBITDA.
54:20 LOS: Explain sources of differences in cross-border valuation comparisons.
56:12 LOS: Describe momentum indicators and their use in valuation.
58:45 LOS: Explain the use of the arithmetic mean, the harmonic mean, the weighted harmonic mean, and the median to describe the central tendency of a group of multiples.
1:02:27 LOS: Evaluate whether a stock is overvalued, fairly valued, or undervalued based on comparisons of multiples.

Пікірлер: 16
@kijhsaaqw
@kijhsaaqw 2 жыл бұрын
Thank you very much. I have an exam tomorrow and I didn't know what to do. You are my saviour
@niner102
@niner102 3 жыл бұрын
Thank you!!
@kelvinmbugua7962
@kelvinmbugua7962 2 жыл бұрын
Your videos have really helped me Proff. Thank You very much
@analystprep
@analystprep 2 жыл бұрын
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@todortodorov2434
@todortodorov2434 2 жыл бұрын
Great videos
@analystprep
@analystprep 2 жыл бұрын
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@AnnaBananana93
@AnnaBananana93 Жыл бұрын
you are so awesome!
@analystprep
@analystprep Жыл бұрын
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
@user-ty9ek7bo5x
@user-ty9ek7bo5x 10 ай бұрын
I have a mixed opinion regarding the usefulness of the momentum indicator-"standardised unexpected earnings" and I'll explain why. If my logic will be incorrect please correct me so my mixed fillings can disappear. So the logic behind this indicator is the following - "The principle is that the smaller (larger) the historical size of forecast errors, the more (less) meaningful a given size of EPS forecast error." Where I see the problem is that standard deviation of past periods earnings surprises, in my opinion, doesn't show the historical errors of forecast(which is difference between actual EPS and forecasted EPS of past periods), rather, the standard deviation is the measure of variance around the mean value of those forecast errors. If, for example, current earnings surprise is equal to 0.05 and during past 20 years earnings surprise per share has been on average, say, 0.1 and variance around this mean was very law (for example 0.969 was one period's earnings surprise, 0.988 was another's and 0.953 and so on) this means that average forecast error(which is logically illustrated by mean earnings surprise) was relatively high compared to current earnings surprise (0.1 vs 0.05) and therefore, in reality, compared to historical results the earnings surprise is not so meaningful. So the problem with this indicator that I see is that measuring meaningfulness of current earnings surprise by dividing it by past earnings surprises' standard deviation logically, for me, makes less sense, because standard deviation of historical earnings surprise, in my opinion, doesn't show the historical size of earnings forecast errors(which is in my opinion shown by historical mean earnings surprise). Please comment if you agree to this logic, or even better please explain to me if my logic is wrong.
@user-xm7eo1zx4m
@user-xm7eo1zx4m 3 жыл бұрын
10:56 why do we need to compare the P/E ratio if we already have prices?
@MostafaAhmad-ci6vy
@MostafaAhmad-ci6vy 3 ай бұрын
Good luctuer
@LL-fl3pz
@LL-fl3pz Жыл бұрын
Thank you very much. but why do we need to add back all items to get Core earning?
@rikibart1
@rikibart1 2 жыл бұрын
Hello Prof, thank you for your very useful material. I only want to signal an error at 01:01:20, in the weighted harmonics mean P/E. The correct result is 15.38. The weight is bigger for stock A which has a smaller P/E than stock B, so the weighted harmonics mean P/E should be smaller than the non-weighted harmonics mean P/E.
@MrTheVakman
@MrTheVakman 2 жыл бұрын
I assume the P/E numbers are rounded in the example, otherwise the harmonic mean as well is not correct as it should be around 15.49
@MostafaAhmad-ci6vy
@MostafaAhmad-ci6vy 3 ай бұрын
Good luctuer
@analystprep
@analystprep 3 ай бұрын
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 Google review using this link: g.page/r/CQIlM78xSg01EB0/review
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