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Spring 2009

NBA 5060

Lecture 11 – Valuation and Sensitivity Analysis

1. Sensitivity Analysis 2. Multiples 3. Summary of differences between residual income and DCF

Lecture 11

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Sensitivity Analysis The inherent unpredictability of the future makes all forecasts subject to error. To deal with this unpredictability, a sensitivity analysis is used to illustrate the variance of price estimates with respect to different forecasting assumptions. The assumptions that you will want to use should be with respect to variables that are likely to have (1) high variance, and (2) significant price impact. Examples: Forecasting Assumption Sales Growth (single year) Sales Growth (first year of trend*) COGS, SG&A exp

Variability High

Price Impact Low/Medium

High

Medium/High

Low

Medium/High

Other Rev/Expenses

Low

Low

Operating Asset Turnovers

Low

Medium/High

Capital Structure

Medium

Medium

Cost of Equity Capital

Medium

High

Terminal Growth Rate

Low/Medium

High

* The first year in an extrapolation between the early years and the last year of the finite forecast horizon.

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Sensitivity Analysis: Example: CBRL terminal growth rate and cost of equity capital:

Current Price = $17.68 (as of 2/20/09)

Terminal Growth Rate

$20.44 1.10% 2.60% 4.10% 5.60% 7.10%

9.55% 26.13 28.60 32.42 39.15 54.14

Cost of Equity Capital 10.55% 11.55% 12.55% 21.64 18.13 15.35 23.18 19.10 15.94 25.43 20.44 16.75 29.04 22.47 17.91 35.81 25.87 19.70

13.55% 13.10 13.45 13.93 14.58 15.53

Look for the proportion of your table that is lower or higher than the current market price.

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Doing sensitivity analysis using Excel’s ‘Table’ function. 1. Copy in your implied price formula into any cell. You can use a white font to ‘hide’ the price.

Terminal Growth Rate

$20.44 1.10% 2.60% 4.10% 5.60% 7.10%

9.55% 26.13 28.60 32.42 39.15 54.14

Cost of Equity Capital 10.55% 11.55% 12.55% 21.64 18.13 15.35 23.18 19.10 15.94 25.43 20.44 16.75 29.04 22.47 17.91 35.81 25.87 19.70

13.55% 13.10 13.45 13.93 14.58 15.53

2. Set up the rows and columns with the dimensions you want and the appropriate values.

3. Select the entire area of your intended table, and then go to Data > What-If Analysis > Data Table… Excel will ask you to input a row and a column. The row is the cell on your spreadsheet that contains the parameter listed horizontally. The column is the cell on the spreadsheet that contains the parameter listed vertically. It should then auto-compute the sensitivity analysis table.

Note, for this to work, both dimensions must have the input cell be (1) a single cell only, (2) be on the same page as the output Table.

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Lecture 11

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Explaining P/B and P/E ratios using residual income valuation (1) P/B Ratio (= Market value of equity / book value of equity):

Equity Value = BVE0 +

ROE1 - re ROE2 - re BVE0 + BVE1 + ... (1 + re ) (1 + re ) 2

Divide both sides by BVE0 -- this gives a P/B ratio.

( ROE1 − re ) ( ROE 2 − re ) BVE1 ( ROE 3 − re ) BVE 2 Pr ice = 1+ + * + * + ... Book ( 1 + re ) ( 1 + re ) BVE 0 ( 1 + re ) BVE0

Thus, P/B should be a function of future level of abnormal earnings and expected growth in book value.

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(2) P/E Ratio (Market Value of Equity / Net Income):

Equity Value = BVE0 +

NI 1 - re BVE0 NI 2 - re BVE1 + + ... (1 + re ) (1 + re ) 2

Define residual income RIt = NIt - reBVEt-1 Then, a lot of algebra and substitution will get you to the following relation:

Pt + Dt  RI t  1 1   ∞ RI t + j = 1 +  +  − * j NI t r r ( 1 + r ) e e    j =1 e  NI t



Notice, if future residual income is equal to current residual income, then the P/E ratio is normal.

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Future Abnormal earnings

High P/E

Current Abnormal earnings Low P/E

Future Abnormal earnings High P/B

Current Abnormal earnings Low P/B

Future Abnormal earnings

High P/E High P/B

Low P/E High P/B Current Abnormal earnings

High P/E Low P/B

Low P/E Low P/B

Fig 1. Factors Affecting price/earnings ratios and price/book ratios

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Summary: Differences between Residual Income and DCF (i) Intrinsic value estimates:

(ii) Terminal Value Estimates: Often the argument is made that residual Incomeputs less weight on the terminal value, which is more uncertain than the finite period estimates. Is this argument valid?

(iii) Focus on different issues:

(Iv) The impact of accounting (residual Income uses net income which we know can be skewed my accounting method choice):

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Accounting Differences (continued): e.g. omitted research and development costs: Assume:

BVE NI excl. R&D R&D exp

Year: 0 Net Income BVE Ab Earn NPV Price

1000 $161.12 $1,161.12 Year: 0

Net Income BVE Ab Earn NPV Price

Lecture 11

1000 $161.12 $1,161.12

1000 cost of equity 200 R&D Cap 100 Amtz

1 100 1100 0 $177.24 $1,277.24 1

175 1175 75 $102.24 $1,277.24

0.1 100 25

2

3 200 200 1300 1500 90 70 $104.96 $45.45 $1,404.96 $1,545.45 2

3

175 175 1350 1525 57.5 40 $54.96 $20.45 $1,404.96 $1,545.45

4 200 1700 50

This firm expenses all R&D in year 1

4

175 1700 22.5

This firm capitalize s and depreciat

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