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The problems with using regression analysis to estimate beta and proposes solutions, including modifying the index used, adjusting the regression beta estimate, and estimating beta from the standard deviation in stock prices or accounting earnings. The document also covers the determinants of betas and their implications for firm valuation.
Typology: Lecture notes
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The standard procedure for estimating betas is to regress stock returns (Rj) against market returns (Rm) - R (^) j = a + b Rm
The slope of the regression corresponds to the beta of the stock, and measures the riskiness of the stock.
This beta has three problems:
Modify the regression beta by
Estimate the beta for the firm using
Estimate the beta for the firm from the bottom up without employing the regression technique. This will require
Use an alternative measure of market risk not based upon a regression.
Aracruz ADR vs S&P 500
S&P
-20 -10 0 10 20
Aracruz ADR
80 60 40 20 0
Aracruz vs Bovespa
BOVESPA
-50 -40 -30 -20 -10 0 10 20 30
Aracruz
1 40 1 20 1 00 80 60 40 20 0 -20-
A r a c r u z ADR = 2.80% + 1.00 S&P A r a c r u z = 2.62% + 0.22 Bovespa
Start with the beta of the business that the firm is in
Adjust the business beta for the operating leverage of the firm to arrive at the unlevered beta for the firm.
Use the financial leverage of the firm to estimate the equity beta for the firm Levered Beta = Unlevered Beta ( 1 + (1- tax rate) (Debt/Equity))
Within any business, firms with lower fixed costs (as a percentage of total costs) should have lower unlevered betas. If you can compute fixed and variable costs for each firm in a sector, you can break down the unlevered beta into business and operating leverage components.
The biggest problem with doing this is informational. It is difficult to get information on fixed and variable costs for individual firms.
In practice, we tend to assume that the operating leverage of firms within a business are similar and use the same unlevered beta for every firm.
Step 1: Find the business or businesses that your firm operates in.
Step 2: Find publicly traded firms in each of these businesses and obtain their regression betas. Compute the simple average across these regression betas to arrive at an average beta for these publicly traded firms. Unlever this average beta using the average debt to equity ratio across the publicly traded firms in the sample. Unlevered beta for business = Average beta across publicly traded firms/ (1 + (1- t) (Average D/E ratio across firms))
If you can, adjust this beta for differences between your firm and the comparable firms on operating leverage and product characteristics.
Step 3: Estimate how much value your firm derives from each of the different businesses it is in.^ While revenues or operating income are often used as weights, it is better to try to estimate the value of each business.
Step 4: Compute a weighted average of the unlevered betas of the different businesses (from step 2) using the weights from step 3. Bottom-up Unlevered beta for your firm = Weighted average of the unlevered betas of the individual business
Step 5: Compute a levered beta (equity beta) for your firm, using the market debt to equity ratio for your firm. Levered bottom-up beta = Unlevered beta (1+ (1-t) (Debt/Equity))
If you expect the business mix of your firm to change over time, you can change the weights on a year-to-year basis.
If you expect your debt to equity ratio to change over time, the levered beta will change over time.
Possible Refinements
The standard error in a bottom-up beta will be significantly lower than the standard error in a single regression beta. Roughly speaking, the standard error of a bottom-up beta estimate can be written as follows:
Std error of bottom-up beta =
The bottom-up beta can be adjusted to reflect changes in the firm’s business mix and financial leverage. Regression betas reflect the past.
You can estimate bottom-up betas even when you do not have historical stock prices. This is the case with initial public offerings, private businesses or divisions of companies.
€
Average Std Error across Betas Number of firms in sample
Business Unlevered Beta D/E Ratio Levered beta Aerospace 0.95 18.95% 1.
Levered Beta = Unlevered Beta ( 1 + (1- tax rate) (D/E Ratio) = 0.95 ( 1 + (1-.34) (.1895)) = 1.
Can an unlevered beta estimated using U.S. and European aerospace companies be used to estimate the beta for a Brazilian aerospace company?
q Yes
q No
What concerns would you have in making this assumption?
Cost of Equity = Riskfree Rate + Beta * (Risk Premium)
Has to be in the same currency as cash flows, and defined in same terms (real or nominal) as the cash flows
Preferably, a bottom-up beta, based upon other firms in the business, and firmʼs own financial leverage
Historical Premium
Implied Premium Based on how equity market is priced today and a simple valuation model
or
The cost of debt is the rate at which you can borrow at currently, It will reflect not only your default risk but also the level of interest rates in the market.
The two most widely used approaches to estimating cost of debt are:
When in trouble (either because you have no ratings or multiple ratings for a firm), estimate a synthetic rating for your firm and the cost of debt based upon that rating.
If Interest Coverage Ratio is Estimated Bond Rating Default Spread(2003) Default Spread(2004)
8.50 (>12.50) AAA 0.75% 0.35% 6.50 - 8.50 (9.5-12.5) AA 1.00% 0.50% 5.50 - 6.50 (7.5-9.5) A+ 1.50% 0.70%
4.25 - 5.50 (6-7.5) A 1.80% 0.85% 3.00 - 4.25 (4.5-6) A– 2.00% 1.00% 2.50 - 3.00 (4-4.5) BBB 2.25% 1.50% 2.25- 2.50 (3.5-4) BB+ 2.75% 2.00% 2.00 - 2.25 ((3-3.5) BB 3.50% 2.50% 1.75 - 2.00 (2.5-3) B+ 4.75% 3.25% 1.50 - 1.75 (2-2.5) B 6.50% 4.00% 1.25 - 1.50 (1.5-2) B – 8.00% 6.00% 0.80 - 1.25 (1.25-1.5) CCC 10.00% 8.00% 0.65 - 0.80 (0.8-1.25) CC 11.50% 10.00% 0.20 - 0.65 (0.5-0.8) C 12.70% 12.00% < 0.20 (<0.5) D 15.00% 20.00% The first number under interest coverage ratios is for larger market cap companies and the second in brackets is for smaller market cap companies. For Embraer , I used the interest coverage ratio table for smaller/riskier firms (the numbers in brackets) which yields a lower rating for the same interest coverage ratio.
Companies in countries with low bond ratings and high default risk might bear the burden of country default risk, especially if they are smaller or have all of their revenues within the country.
Larger companies that derive a significant portion of their revenues in global markets may be less exposed to country default risk. In other words, they may be able to borrow at a rate lower than the government.
The synthetic rating for Embraer is A-. Using the 2004 default spread of 1.00%, we estimate a cost of debt of 9.29% (using a riskfree rate of 4.29% and adding in two thirds of the country default spread of 6.01%): Cost of debt = Riskfree rate + 2/3(Brazil country default spread) + Company default spread =4.29% + 4.00%+ 1.00% = 9.29%