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CHAPTER 11
THE BETA FOR FLIR SYSYTEMS
NOTE: The example below shows the results from January 2015. The actual answer to the case will
change based on current market conditions
1. The information used for the analysis is presented below. Note that the risk-free rate is an annual rate.
It is necessary to find the monthly rate, so this rate is divided by 12.
Apr-11
0.06
0.005
$33.20
0.0176
1363.61
0.0285
0.0126
0.0235
0.04
0.00333
$34.13
0.0281
1345.20
-0.0135
0.0248
-0.0168
0.04
0.00333
$31.83
-0.0675
1320.64
-0.0183
-0.0708
-0.0216
0.04
0.00333
$25.93
-0.1854
1292.28
-0.0215
-0.1887
-0.0248
Aug-11
0.02
0.00167
$24.49
-0.0555
1218.89
-0.0568
-0.0572
-0.0585
Using the Excel functions for the average return and standard deviation, the table below shows the
averages and standard deviations for each of the series.
Sep-13
0.02
0.00167
$30.48
0.0038
1681.55
0.0297
0.0022
0.0281
0.05
0.00417
$27.65
-0.0930
1756.54
0.0446
-0.0972
0.0404
Nov-13
0.07
0.00583
$28.89
0.0450
1805.81
0.0280
0.0391
0.0222
Dec–13
0.07
0.00583
$29.31
0.0145
1848.36
0.0236
0.0087
0.0177
Jan-14
0.04
0.00333
$30.89
0.0538
1782.59
-0.0356
0.0505
-0.0389
2. Jensen’s alpha represents the excess return not explained by the beta of the stock. A positive alpha
plots above the Security Market Line and has a return in excess of its systematic risk.
3. The relevant output from the Excel regression is:
Regression
Residual
58
Total
Intercept
X Variable 1
0.638388418
4. The beta for FLIR Systems on Yahoo! Finance at the time was .53, which is similar to this estimate.
Possible reasons for the difference could be different data, for example Yahoo! Finance could use a
longer or shorter period, or use daily data, a different risk-free rate, or a different market risk premium.
10%
15%
20%
25%
FLIR Monthly Returns vs. S&P 500 Returns