Weighted average cost of capital Timothy A. Thompson Executive Masters Program
Weighted average cost of capitalTimothy A. ThompsonExecutive Masters Program
What is the WACC?WACC = (D/D+E) rd (1-Tc) + (E/D+E) reL
D/D+E and E/D+E are capital structure weights evaluated at market value, based on the firms target capital structureTc is the firms marginal tax bracket, but the effective tax rate is often used as estimaterd is the cost of debt based on the risk of the debt (which depends on the debt ratio)reL is the required rate of return on equity (I.e. the cost of equity)the cost of equity depends on the business risk of the assetsand on the debt ratio
Why the WACC?Measures the returns demanded by all providers of capitalInvestments must offer this return to be worth using the capital providers moneyAs an opportunity costThe rate of return investors could earn elsewhere on projects with the same risk and capital structure
WACC incorporates debt tax shieldsThe (1-T) term incorporates the fact that debt returns are tax deductibleDiscounting project cash flows at WACC is an alternative to adding in the value of tax shields (ala AHP)Key assumption: constant D/D+E ratio is reasonable as a target capital structure
Risk and returnIt is reasonable to believe that the higher the risk of an investment, the higher its required return. But What is risk, and What is the relation between risk and required return?
Capital Asset Pricing ModelThe result will be that risk of investment (stock j) is measured by its beta ( j) Any risky security has a required return given by:the risk free rate of return, rf, plusa risk premium which is proportional to its beta riskEquation: rj = rf + j (avg. risk prem.)
Diversification: roulette wheelFair roulette wheel40 slots, 20 black, 20 red (no house slots)probability of red = 50%Bet $10,000 on red, one spinrisky?50% prob of 100% lossBet $1 per spin on 10,000 spins: as risky?Why is it less risky?
Diversification reduces riskInvestors dont hold only one stockSmart investors hold diversified portfoliosWhy doesnt risk go to zero as in the roulette wheel?Because stocks are correlated with each other, with the market as a wholeThis is risk you can not diversify awayFor risk you must bear, you demand a premium!
What measures non-diversifiable risk?BetaCovariance measures the degree to which two things move together on averageThe more a stock moves up and down with the market, the more non-diversifiable risk it hasHow much risk is in the market portfolio itself?The variance of the marketBeta = Covariance of stock with market/Variance of the market
What is the beta of the market?Beta of market portfolio is oneCovariance of market with itself/Variance of marketCovariance of anything with itself is its own varianceThe market risk premiumrm - rf is the risk premium on the market, so it is the risk premium for a beta of oneBack to the equation
CAPMrj = rf + j (rm - rf)
assets with betas less than one demand lower returns than rmassets with betas greater than one demand higher returns than rm
How do you apply CAPM?Common assumption: discounting future, long term cash flowsso, you want a long term discount rate (forward looking if possible)rf is long term government bond rate (forward looking, I.e., current long term T bond rate)rm - rf is expected excess return on a very diversified portfolio of stocks (S&P500?) over long term government bonds (forward looking not available, so often use historical average)
How do you estimate beta?Many services calculate beta estimates for stocks (some bonds)Value Line, investment banksThe beta is a statistical estimate Slope coefficient of a linear regression of the stocks returns against the proxy for the market portfolios returnsA stocks beta is a levered betaBased on the debt ratio it has now
Estimating Charles Schwab beta
Chart1
0.05069958850.0025012541
0.04313725490.0368181446
0.0413533835-0.048101229
-0.17516245490.0381044538
0.01315789470.0212675858
-0.1861471861-0.037902635
0.05042553190.0980097084
-0.0862944162-0.0413940455
-0.20.0348197715
0.12833333330.0313283609
0.22839506170.0986069233
0.05025125630.0465803123
0.16019138760.0346130432
0.07024793390.0188098165
0.12741312740.0637387575
-0.1006849315-0.0523047035
0.07633587790.073868442
0.21276595740.0180747828
0.01929824560.0045455669
0.13362068970.0966544898
0.04942965780.0076924303
0.00507246380.0477288026
-0.0794223827-0.0335613416
0.01568627450.0509675453
-0.08664092660.078255675
-0.0677966102-0.049042991
-0.0227272727-0.0987726215
0.05841860470.0288705917
0.06607929520.0281125881
-0.1818181818-0.0566000573
0.08363636360.0761424529
0.14953271030.1046709522
-0.0365853659-0.0365474164
0.19645569620.040447374
-0.0989399293-0.0788577995
0.09411764710.0355777751
0.14953405020.0534942239
0.1093750.0972976444
0.09014084510.0682408395
0.0638759690.06344015
0.02189781020.0847561302
0.25357142860.0771301545
0.05310541310.099709474
0.01084010840.0277450712
0.24396782840.089878397
-0.2098275862-0.0193200618
0.06010928960.1049925295
-0.17010309280.0416647737
0.25043478260.0708134578
0.01492537310.0431578111
0.01470588240.0320174551
-0.05159420290.0640143952
-0.01020408160.0676665944
0.0103092784-0.0113035994
-0.0132653061-0.1163445232
0.03626943010.0802999878
-0.080.1280082753
0.08913043480.038311182
0.210.1572718084
0.0578512397-0.0197794579
Y
Predicted Y
Returns on Market
Schwab Returns
Schwab's returns vs. Market returns
Copyright
THE COST OF CAPITAL AT AMERITRADE
Harvard Business School Case 201-046 (2nd edition)
Case Software 2-201-711
Copyright 2000 by the President and Fellows of Harvard College
Professors Mark Mitchell and Erik Stafford prepared this case with the assistance of Research Associates Jose Camacho and Aldo Sesia as the basis for class discussion rather than to illustrate either effective or ineffective handling of an administrative
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Exhibit 1
(in millions of dollars)
199719961995
Net Revenues
Transaction Income51.967%36.567%24.068%
Net Interest18.224%11.521%8.424%
Other7.19%6.412%2.67%
Total Net Revenues77.2100%54.3100%35.0100%
42.1%55.2%
Expenses Excluding Interest% of rev% of rev% of rev
Employee Compensation19.325.0%14.025.9%8.524.2%
Commissions and Clearance3.34.3%2.54.7%2.57.2%
Communications5.67.3%3.76.8%2.46.7%
Occupancy and Equipment Cost5.47.0%2.95.3%1.64.6%
Advertising and Promotion14.018.1%7.513.9%4.813.8%
Provision for Losses0.10.1%0.10.3%1.44.1%
Amortization of Goodwill0.40.5%0.40.7%0.10.3%
Other7.810.1%4.78.7%2.88.1%
Total Expenses Excluding Interest55.872.3%35.966.1%24.269.1%
Income Before Income Taxes21.427.7%18.433.9%10.830.9%
0.00.00.0
Taxes7.67.33.8
Net Income13.817.9%11.220.5%7.020.1%
23.9%58.7%
EPS$1.00$0.87$0.55
14.9%58.2%
Shares Outstanding (millions)13.7712.8112.81
Source: Ameritrade Annual Report, 1997.
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Exhibit 2
(millions of dollars)
19971996
ASSETS
Cash and Cash Equivalents53.5215.77
Cash and Investments Segregated in Compliance with Federal Regulations319.76175.67
Receivable from Brokers, Dealers, and Clearing Organizations17.8215.10
Receivable from Customers and Correspondents325.41166.08
Furniture, Equipment, and Leasehold Improvements8.713.75
Goodwill6.356.71
Equity Investments7.607.16
Other Investments5.005.00
Deferred Income Taxes0.040.44
Other Assets13.156.01
0.00.0
Total Assets757.36401.68
0.00.0
LIABILITIES AND STOCKHOLDERS' EQUITY0.00.0
Liabilities:0.00.0
Payable to Brokers, Dealers, and Clearing Organizations1.401.19
Payable to Customers and Correspondents666.28356.94
Accounts Payable and Accrued Liabilities19.257.22
Notes Payable to Bank0.04.85
Income Taxes Payable3.430.81
0.00.0
Total Liabilities690.37371.02
0.00.0
Stockholders' Equity:0.00.0
Class A Common Stock0.130.11
Class B Common Stock0.010.01
Additional Paid in Capital23.300.81
Retained Earnings43.5529.72
0.00.0
Total Stockholders' Equity66.9930.66
0.00.0
Total Liabilities and Stockholders' Equity757.36401.68
Source: Ameritrade Annual Report, 1997.
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Exhibit 3
Prevailing Yields on U.S. Government Securities (August 31, 1997)
Annualized Yield to Maturity
3-Month T-Bills5.24%
1-Year Bonds5.59%
5-Year Bonds6.22%
10-Year Bonds6.34%Long term risk free rate
20-Year Bonds6.69%Long term risk free rate
30-Year Bonds6.61%Long term risk free rate
Exp. Future ST Tbill rate4.99%Using the 20's
Historic Average Total Annual Returns on U.S. Government Securities and Common Stocks (1950-1996)
Average Annual ReturnStandard DeviationRisk premiumRisk premium
over T-Billsover T-bonds
T-Bills5.2%3.0%-0.8%
6.4%6.6%1.2%0.4%
6.0%10.8%0.8%
14.0%16.8%8.8%8.0%
17.8%25.6%12.6%11.8%
Historic Average Total Annual Returns on U.S. Government Securities and Common Stocks (1929-1996)
Average Annual ReturnStandard DeviationRisk premiumRisk premium
over T-billsover T-bonds
T-Bills3.8%3.3%-1.7%
5.4%5.8%1.6%-0.1%
5.5%9.2%1.7%0.0%
12.7%20.3%8.9%7.2%
17.7%34.1%13.9%12.2%
CAPM Parameters
Define risk free rateDefine risk free rate
as short term rateas short term rate
Risk free rate, rf5.0%6.7%
Market risk premium, rm-rf8.9%7.2%
Expected return on market13.9%13.9%
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Exhibit 4
Debt/ValueDebt/Capital
(Market Values)(Book Values)
CurrentAverage1992-1996CurrentAverage1992-1996BrokerageRevenues (%)
0.000.000.000.0057
0.600.500.690.6035
Charles Schwab Corp (Discount Brokerage)0.050.080.250.3082
E*Trade (Discount Brokerage)0.00NA0.00NA95
0.79NA0.8013
0.000.000
0.570.520.770.6537
0.570.530.700.6312
0.00NA0.00NA0
0.510.530.630.5846
Quick & Reilly Group (Discount Brokerage)0.000.000.000.0081
0.050.040.070.0651
Waterhouse Investor Srvcs (Discount Brokerage)NA0.38NA99
0.00NA0.00NA0
Source: Compustat; Standard & Poor's; company public filings.
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Sheet7
dfSSMSFSignificance F
10.19091152520.190911525218.73214512850.0000601845
580.59111588060.0101916531
590.7820274058
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
0.00629127220.01446483070.43493576260.66522315-0.02266321060.0352457549-0.02266321060.0352457549
X Variable 12.29698062150.53071770284.32806482490.00006018451.23463451283.35932673031.23463451283.3593267303
RESIDUAL OUTPUT
ObservationPredicted YResiduals
10.00250125410.0481983343
20.03681814460.0063191103
3-0.0481012290.0894546124
40.0381044538-0.2132669086
50.0212675858-0.0081096911
6-0.037902635-0.1482445512
70.0980097084-0.0475841765
8-0.0413940455-0.0449003707
90.0348197715-0.2348197715
100.03132836090.0970049724
110.09860692330.1297881384
120.04658031230.003670944
130.03461304320.1255783443
140.01880981650.0514381173
150.06373875750.0636743699
16-0.0523047035-0.048380228
170.0738684420.0024674358
180.01807478280.1946911747
190.00454556690.0147526787
200.09665448980.0369661998
210.00769243030.0417372275
220.0477288026-0.0426563388
23-0.0335613416-0.0458610411
240.0509675453-0.0352812707
250.078255675-0.1648966017
26-0.049042991-0.0187536192
27-0.09877262150.0760453487
280.02887059170.029548013
290.02811258810.0379667071
30-0.0566000573-0.1252181246
310.07614245290.0074939108
320.10467095220.0448617581
33-0.0365474164-0.0000379494
340.0404473740.1560083222
35-0.0788577995-0.0200821299
360.03557777510.058539872
370.05349422390.0960398262
380.09729764440.0120773556
390.06824083950.0219000055
400.063440150.000435819
410.0847561302-0.06285832
420.07713015450.176441274
430.099709474-0.0466040609
440.0277450712-0.0169049628
450.0898783970.1540894314
46-0.0193200618-0.1905075244
470.1049925295-0.0448832399
480.0416647737-0.2117678665
490.07081345780.1796213248
500.0431578111-0.028232438
510.0320174551-0.0173115728
520.0640143952-0.1156085981
530.0676665944-0.077870676
54-0.01130359940.0216128777
55-0.11634452320.1030792171
560.0802999878-0.0440305577
570.1280082753-0.2080082753
580.0383111820.0508192528
590.15727180840.0527281916
60-0.01977945790.0776306976
Sheet7
0.0506995885-0.00165
0.04313725490.01329
0.0413533835-0.02368
-0.17516245490.01385
0.01315789470.00652
-0.1861471861-0.01924
0.05042553190.03993
-0.0862944162-0.02076
-0.20.01242
0.12833333330.0109
0.22839506170.04019
0.05025125630.01754
0.16019138760.01233
0.07024793390.00545
0.12741312740.02501
-0.1006849315-0.02551
0.07633587790.02942
0.21276595740.00513
0.0192982456-0.00076
0.13362068970.03934
0.04942965780.00061
0.00507246380.01804
-0.0794223827-0.01735
0.01568627450.01945
-0.08664092660.03133
-0.0677966102-0.02409
-0.0227272727-0.04574
0.05841860470.00983
0.06607929520.0095
-0.1818181818-0.02738
0.08363636360.03041
0.14953271030.04283
-0.0365853659-0.01865
0.19645569620.01487
-0.0989399293-0.03707
0.09411764710.01275
0.14953405020.02055
0.1093750.03962
0.09014084510.02697
0.0638759690.02488
0.02189781020.03416
0.25357142860.03084
0.05310541310.04067
0.01084010840.00934
0.24396782840.03639
-0.2098275862-0.01115
0.06010928960.04297
-0.17010309280.0154
0.25043478260.02809
0.01492537310.01605
0.01470588240.0112
-0.05159420290.02513
-0.01020408160.02672
0.0103092784-0.00766
-0.0132653061-0.05339
0.03626943010.03222
-0.080.05299
0.08913043480.01394
0.210.06573
0.0578512397-0.01135
Y
Predicted Y
Returns on Market
Schwab Returns
Schwab's returns vs. Market returns
Sheet8
Qucik and Reilly
dfSSMSFSignificance F
10.17580572060.175805720622.07259426040.0000165658
580.46196344990.0079648871
590.6377691705
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
-0.00267227050.0127873587-0.20897751850.8351980159-0.02826893090.0229243899-0.02826893090.0229243899
X Variable 12.2042343140.46917090154.69814796070.00001656581.26508742123.14338120681.26508742123.1433812068
RESIDUAL OUTPUT
ObservationPredicted YResiduals
1-0.0063092571-0.0026997519
20.02662200350.0162870874
3-0.05486853910.059254504
40.0278563748-0.2767646717
50.0116993372-0.007978407
6-0.04508173870.0218259247
70.0853428057-0.1270094723
8-0.04843217490.0275626096
90.02470431970.0007733873
100.02135388350.0221243773
110.08591590660.1262269506
120.0359899994-0.0606205412
130.02450593860.0664031523
140.0093408065-0.0382296954
150.0524556297-0.0091863989
16-0.0589022878-0.014830431
170.062176303-0.0183952085
180.00863545150.1518621561
19-0.00434748860.0692825535
200.08404230740.0574211072
21-0.00132768760.0370419733
220.0370921165-0.0474369441
23-0.0409157358-0.001592975
240.04020008690.0557999131
250.0663863906-0.0768759011
26-0.0557722751-0.1344750747
27-0.1034939480.0065776485
280.01899535280.0102729399
290.01826795550.0052391535
30-0.0630242060.0072102525
310.064358495-0.0889890369
320.09173508520.0949315815
33-0.0437812405-0.0716033749
340.0301046938-0.0349356116
35-0.08438323650.0502084792
360.0254317170.1210329295
370.04262474470.0454809822
380.0846594930.0583364584
390.056775929-0.0424902147
400.05216907920.0921971179
410.07262437370.0842987033
420.06530631570.108363897
430.0869739391-0.0357793998
440.017915278-0.0445386546
450.07753981620.149884933
46-0.0272494831-0.1961837594
470.092043678-0.0206752569
480.0312729379-0.2233911645
490.05924467140.0749016701
500.03270569020.099767428
510.02201515380.10179437
520.0527201378-0.0188218327
530.05622487040.0567259493
54-0.0195567053-0.0210337006
55-0.1203563405-0.0065667364
560.0683481591-0.0346917714
570.1141301058-0.2081471998
580.0280547558-0.0374887181
590.142212051-0.058212051
60-0.027690330.0805537661
Sheet8
-0.009009009-0.00165
0.04290909090.01329
0.0043859649-0.02368
-0.24890829690.01385
0.00372093020.00652
-0.023255814-0.01924
-0.04166666670.03993
-0.0208695652-0.02076
0.0254777070.01242
0.04347826090.0109
0.21214285710.04019
-0.02463054190.01754
0.09090909090.01233
-0.02888888890.00545
0.04326923080.02501
-0.0737327189-0.02551
0.04378109450.02942
0.16049760770.00513
0.0649350649-0.00076
0.14146341460.03934
0.03571428570.00061
-0.01034482760.01804
-0.0425087108-0.01735
0.0960.01945
-0.01048951050.03133
-0.1902473498-0.02409
-0.0969162996-0.04574
0.02926829270.00983
0.0235071090.0095
-0.0558139535-0.02738
-0.02463054190.03041
0.18666666670.04283
-0.1153846154-0.01865
-0.00483091790.01487
-0.0341747573-0.03707
0.14646464650.01275
0.08810572690.02055
0.14299595140.03962
0.01428571430.02697
0.14436619720.02488
0.15692307690.03416
0.17367021280.03084
0.05119453920.04067
-0.02662337660.00934
0.22742474920.03639
-0.2234332425-0.01115
0.07136842110.04297
-0.19211822660.0154
0.13414634150.02809
0.13247311830.01605
0.12380952380.0112
0.03389830510.02513
0.11295081970.02672
-0.0405904059-0.00766
-0.1269230769-0.05339
0.03365638770.03222
-0.0940170940.05299
-0.00943396230.01394
0.0840.06573
0.0528634361-0.01135
Y
Predicted Y
X Variable 1
Y
X Variable 1 Line Fit Plot
Sheet9
Waterhouse
dfSSMSFSignificance F
10.33291980030.332919800315.73372086230.0002127683
551.16377995870.0211596356
561.496699759
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
0.00529070360.02128433360.2485726670.8046171929-0.03736404360.0479454507-0.03736404360.0479454507
X Variable 13.1899101490.80419752083.96657545780.00021276831.57826269914.80155759891.57826269914.8015575989
RESIDUAL OUTPUT
ObservationPredicted YResiduals
10.0000273518-0.0363909882
20.04768460940.183447466
3-0.07024636880.2369130354
40.0494709591-0.2366630774
50.02608891770.0284565368
6-0.0560831677-0.1565605105
70.1326638158-0.1034667355
8-0.0609318311-0.1475788072
90.04490938760.0005451578
100.04006072420.0468957976
110.13349319240.1945068076
120.0612417276-0.0732899203
130.04462229570.1870850214
140.0226757139-0.0573291792
150.0850703564-0.0337883051
16-0.0760839043-0.0214770713
170.09913786010.3738351128
180.02165494260.2077028555
190.0028663718-0.017791745
200.13078176880.1684606554
210.00723654880.1687165304
220.0628366826-0.1201932911
23-0.0500542375-0.132485445
240.067334456-0.2420917375
250.1052305885-0.1052305885
26-0.07155423190.0362601143
27-0.14061578670.0003718842
280.0366475203-0.1288461019
290.03559485-0.08246985
30-0.0820490363-0.0409017834
310.1022958712-0.1303332544
320.14191455520.1811623678
33-0.0542011207-0.1149165263
340.05272466750.0888682529
35-0.1129592657-0.0033198041
360.045962058-0.1863129352
370.07084335710.1128301123
380.13167494370.0666009184
390.0913225803-0.1632650263
400.0846556681-0.11566342
410.11425803430.0057419657
420.10366753260.2106181817
430.13502434930.0660626072
440.03508446440.0101644044
450.1213715339-0.007834416
46-0.0302767946-0.1952134015
470.1423611427-0.1423611427
480.05441531990.1987492371
490.0948952796-0.1403498251
500.0564887615-0.0141607191
510.04101769720.314312252
520.08545314560.0006891765
530.0905251027-0.0801802752
54-0.01914400820.0327958853
55-0.16501859930.1784866128
560.1080696086-0.1088669508
570.1743240424-0.1609461159
Sheet9
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0.23113207550.01329
0.1666666667-0.02368
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0.05454545450.00652
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0.02919708030.03993
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0.04545454550.01242
0.08695652170.0109
0.3280.04019
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0.23170731710.01233
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0.05128205130.02501
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0.4729729730.02942
0.22935779820.00513
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0.29924242420.03934
0.17595307920.00061
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00.03133
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0.32307692310.04283
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0.14159292040.01487
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0.18367346940.02055
0.19827586210.03962
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0.120.03416
0.31428571430.03084
0.20108695650.04067
0.04524886880.00934
0.11353711790.03639
-0.2254901961-0.01115
00.04297
0.2531645570.0154
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0.04232804230.01605
0.35532994920.0112
0.08614232210.02513
0.01034482760.02672
0.0136518771-0.00766
0.0134680135-0.05339
-0.00079734220.03222
0.01337792640.05299
Y
Predicted Y
X Variable 1
Y
X Variable 1 Line Fit Plot
Exhibit 5
Monthly data used for regressions
AmeritradeStock
DateSharesPriceDividendStock Splitreturn
31-Mar-9713,15315.6251.000
30-Apr-9713,15312.5000.0-0.2
30-May-9713,15314.0000.00.12
30-Jun-9714,51815.7500.00.125
31-Jul-9714,51815.3750.0-0.0238095238
29-Aug-9714,51818.8130.00.2236097561
Charles Schwab
DateSharesPriceDividendStock SplitReturn
30-Sep-8729,12115.8750.0
30-Oct-8729,1217.8750.0-0.5039370079
30-Nov-8729,1216.6250.0-0.1587301587
31-Dec-8725,3886.0000.0-0.0943396226
29-Jan-8825,3886.5000.00.0833333333
29-Feb-8825,3889.0000.00.3846153846
31-Mar-8825,3887.3750.0-0.1805555556
29-Apr-8825,3887.6250.00.0338983051
31-May-8825,3886.8750.0-0.0983606557
30-Jun-8825,2947.2500.00.0545454545
29-Jul-8825,2947.5000.00.0344827586
31-Aug-8825,2946.7500.0-0.1
30-Sep-8825,3286.7500.00
31-Oct-8825,3287.5000.00.1111111111
30-Nov-8825,3286.7500.0-0.1
30-Dec-8825,3546.7500.00
31-Jan-8925,35410.2500.00.5185185185
28-Feb-8925,3548.6250.0-0.1585365854
31-Mar-8925,3548.8750.00.0289855072
28-Apr-8925,35410.1250.00.1408450704
31-May-8925,35411.7500.0300.1634567901
30-Jun-8925,35211.0000.0-0.0638297872
31-Jul-8925,35216.5000.0300.5027272727
31-Aug-8925,35215.7500.0-0.0454545455
29-Sep-8925,38614.0000.0-0.1111111111
31-Oct-8925,38613.0000.030-0.0692857143
30-Nov-8925,38612.5000.0-0.0384615385
29-Dec-8925,33213.8750.00.11
31-Jan-9025,33213.5000.030-0.0248648649
28-Feb-9025,33215.2500.00.1296296296
30-Mar-9025,33217.0000.00.1147540984
30-Apr-9025,33215.1250.030-0.1085294118
31-May-9025,33215.7500.00.041322314
29-Jun-9025,09915.2500.0-0.0317460317
31-Jul-9025,09913.6250.030-0.1045901639
31-Aug-9025,09912.6250.0-0.0733944954
28-Sep-9025,25511.3750.0-0.099009901
31-Oct-9025,25512.6250.0400.1134065934
30-Nov-9025,25511.8750.0-0.0594059406
31-Dec-9024,46411.3750.0-0.0421052632
31-Jan-9124,46416.0000.0400.4101098901
28-Feb-9124,46418.2500.00.140625
28-Mar-9124,46420.2500.00.1095890411
30-Apr-9124,46418.1250.040-0.102962963
31-May-9124,46422.5000.00.2413793103
28-Jun-9124,43524.7500.00.1
31-Jul-9124,43527.5000.0500.1131313131
30-Aug-9124,43528.3750.00.0318181818
30-Sep-9125,59631.1250.00.0969162996
31-Oct-9125,59637.7500.0600.2147791165
29-Nov-9125,59632.7500.0-0.1324503311
31-Dec-9138,39430.3750.01.50.391221374
31-Jan-9238,39431.8750.0400.0506995885-0.001650
28-Feb-9238,39433.2500.00.04313725490.013290
31-Mar-9238,47934.6250.00.0413533835-0.023680
30-Apr-9238,47928.5000.060-0.17516245490.013850
29-May-9238,47928.8750.00.01315789470.006520
30-Jun-9238,62623.5000.0-0.1861471861-0.019240
31-Jul-9238,62624.6250.0600.05042553190.039930
31-Aug-9238,62622.5000.0-0.0862944162-0.020760
30-Sep-9238,14918.0000.0-0.20.012420
30-Oct-9238,14920.2500.0600.12833333330.010900
30-Nov-9238,14924.8750.00.22839506170.040190
31-Dec-9237,74126.1250.00.05025125630.017540
29-Jan-9337,74130.2500.0600.16019138760.012330
26-Feb-9337,74132.3750.00.07024793390.005450
31-Mar-9337,74136.5000.00.12741312740.025010
30-Apr-9337,74132.7500.075-0.1006849315-0.025510
28-May-9337,74135.2500.00.07633587790.029420
30-Jun-9356,61228.5000.01.50.21276595740.005130
30-Jul-9356,61229.0000.0500.0192982456-0.000760
31-Aug-9356,61232.8750.00.13362068970.039340
30-Sep-9357,62534.5000.00.04942965780.000610
29-Oct-9357,62534.6250.0500.00507246380.018040
30-Nov-9357,81531.8750.0-0.0794223827-0.017350
31-Dec-9357,81532.3750.00.01568627450.019450
31-Jan-9457,81529.5000.070-0.08664092660.031330
28-Feb-9457,81527.5000.0-0.0677966102-0.024090
31-Mar-9457,81526.8750.0-0.0227272727-0.045740
29-Apr-9457,81528.3750.0700.05841860470.009830
31-May-9457,81530.2500.00.06607929520.009500
30-Jun-9457,11424.7500.0-0.1818181818-0.027380
29-Jul-9457,11426.7500.0700.08363636360.030410
31-Aug-9457,11430.7500.00.14953271030.042830
30-Sep-9456,82929.6250.0-0.0365853659-0.018650
31-Oct-9456,82935.3750.0700.19645569620.014870
30-Nov-9457,32531.8750.0-0.0989399293-0.037070
30-Dec-9457,32534.8750.00.09411764710.012750
31-Jan-9557,32540.0000.0900.14953405020.020550
28-Feb-9557,32544.3750.00.1093750.039620
31-Mar-9585,98832.2500.01.50.09014084510.026970
28-Apr-9585,98834.2500.0600.0638759690.024880
31-May-9585,98835.0000.00.02189781020.034160
30-Jun-9585,89643.8750.00.25357142860.030840
31-Jul-9585,89646.1250.0800.05310541310.040670
31-Aug-9587,06146.6250.00.01084010840.009340
29-Sep-95174,12229.0000.020.24396782840.036390
31-Oct-95174,12222.8750.040-0.2098275862-0.011150
30-Nov-95174,67824.2500.00.06010928960.042970
29-Dec-95174,67820.1250.0-0.17010309280.015400
31-Jan-96174,67825.1250.0400.25043478260.028090
29-Feb-96174,67825.5000.00.01492537310.016050
29-Mar-96174,67825.8750.00.01470588240.011200
30-Apr-96174,03224.5000.040-0.05159420290.025130
31-May-96174,03224.2500.0-0.01020408160.026720
28-Jun-96174,98924.5000.00.0103092784-0.007660
31-Jul-96174,98924.1250.050-0.0132653061-0.053390
30-Aug-96174,98925.0000.00.03626943010.032220
30-Sep-96175,16623.0000.0-0.080.052990
31-Oct-96175,16625.0000.0500.08913043480.013940
29-Nov-96175,16630.2500.00.210.065730
31-Dec-96175,17332.0000.00.0578512397-0.011350
31-Jan-97175,17337.5000.00.171875
28-Feb-97175,17337.5000.0500.0013333333
31-Mar-97175,17332.0000.0-0.1466666667
30-Apr-97175,06836.6250.00.14453125
30-May-97175,06840.6250.0500.1105802048
30-Jun-97175,81340.5000.0-0.0030769231
31-Jul-97176,42247.0000.00.1604938272
29-Aug-97176,42242.7500.050-0.0893617021
E*Trade
DateSharesPriceDividendStock Split
30-Aug-9629,39310.5000.0
30-Sep-9629,53913.1880.00.256
31-Oct-9629,53911.1250.0-0.156430088
29-Nov-9629,53910.9380.0-0.0168089888
31-Dec-9629,54511.5000.00.0513805083
31-Jan-9729,54517.6250.00.5326086957
28-Feb-9729,54524.0000.00.3617021277
31-Mar-9730,44018.0000.0-0.25
30-Apr-9730,44015.0000.0-0.1666666667
30-May-9730,44017.6250.00.175
30-Jun-9730,95819.6250.00.1134751773
31-Jul-9730,95830.5000.00.5541401274
29-Aug-9730,95832.1250.00.0532786885
Quick & Reilly
DateSharesPriceDividendStock Split
31-Jan-846,31817.6250.0
29-Feb-846,31815.0000.050-0.1460992908
30-Mar-846,31814.8750.0-0.0083333333
30-Apr-846,31817.1250.00.1512605042
31-May-846,31817.3750.00.0145985401
29-Jun-846,31818.0000.0500.0388489209
31-Jul-846,31814.7500.0-0.1805555556
31-Aug-846,31818.0000.0500.2237288136
28-Sep-846,31817.0000.0-0.0555555556
31-Oct-846,31817.8750.00.0514705882
30-Nov-846,31815.2500.050-0.1440559441
31-Dec-846,31815.5000.00.0163934426
31-Jan-856,31823.3750.00.5080645161
28-Feb-856,31823.7500.1100.0207486631
29-Mar-856,31823.1250.0-0.0263157895
30-Apr-856,31820.6250.0-0.1081081081
31-May-856,31822.6250.0600.0998787879
28-Jun-856,31824.0000.00.0607734807
31-Jul-856,31824.1250.00.0052083333
30-Aug-856,31822.8750.060-0.0493264249
30-Sep-856,31820.1250.0-0.1202185792
31-Oct-856,31822.2500.00.1055900621
29-Nov-856,31825.5000.0600.1487640449
31-Dec-856,31832.5000.00.2745098039
31-Jan-866,31836.3750.00.1192307692
28-Feb-866,31839.1250.1700.0802749141
31-Mar-866,31839.0000.0-0.0031948882
30-Apr-866,31830.3750.0-0.2211538462
30-May-8611,14933.3750.0700.1010699588
30-Jun-8611,14935.5000.00.063670412
31-Jul-8611,14929.0000.0-0.1830985915
29-Aug-8611,14928.7500.070-0.0062068966
30-Sep-8611,14923.8750.0-0.1695652174
31-Oct-8611,14932.1250.00.3455497382
28-Nov-8611,14929.5000.070-0.0795330739
31-Dec-8611,14926.7500.0-0.093220339
30-Jan-8711,14936.1250.00.3504672897
27-Feb-8711,14936.8750.2000.0262975779
31-Mar-8711,14936.0000.0-0.0237288136
30-Apr-8716,72421.3750.01.5-0.109375
29-May-8716,72421.5000.0550.0084210526
30-Jun-879,47719.2500.0-0.1046511628
31-Jul-879,47720.2500.00.0519480519
31-Aug-879,47724.6250.0550.2187654321
30-Sep-879,47723.0000.0-0.0659898477
30-Oct-879,47712.1250.0-0.472826087
30-Nov-879,47711.6250.055-0.0367010309
31-Dec-879,47712.5000.00.0752688172
29-Jan-889,47712.6250.00.01
29-Feb-889,47713.5000.1800.0835643564
31-Mar-889,45212.2500.0-0.0925925926
29-Apr-889,45212.6250.00.0306122449
31-May-889,45211.5000.060-0.0843564356
30-Jun-889,45211.8750.00.0326086957
29-Jul-889,45211.5000.0-0.0315789474
31-Aug-889,45211.2500.060-0.0165217391
30-Sep-889,45211.7500.00.0444444444
31-Oct-889,45211.7500.00
30-Nov-889,45211.5000.060-0.0161702128
30-Dec-889,45210.8750.0-0.0543478261
31-Jan-899,45215.0000.00.3793103448
28-Feb-899,45213.7500.060-0.0793333333
31-Mar-899,45213.2500.0-0.0363636364
28-Apr-899,45213.0000.0-0.0188679245
31-May-899,45216.1250.0600.245
30-Jun-899,45214.0000.0-0.1317829457
31-Jul-899,45216.5000.00.1785714286
31-Aug-899,45217.0000.0600.0339393939
29-Sep-899,45216.7500.0-0.0147058824
31-Oct-899,45215.7500.0-0.0597014925
30-Nov-899,45214.8750.060-0.0517460317
29-Dec-899,45213.6250.0-0.0840336134
31-Jan-909,45212.0000.0-0.119266055
28-Feb-909,45213.6250.1300.14625
30-Mar-909,45213.2500.0-0.0275229358
30-Apr-909,45213.0000.0-0.0188679245
31-May-909,45215.2500.0700.1784615385
29-Jun-909,45214.0000.0-0.0819672131
31-Jul-909,45213.5000.0-0.0357142857
31-Aug-909,45211.3750.070-0.1522222222
28-Sep-909,45210.3750.0-0.0879120879
31-Oct-909,4529.7500.0-0.0602409639
30-Nov-909,45210.1250.0700.0456410256
31-Dec-909,43710.2500.00.012345679
31-Jan-919,43713.1250.00.2804878049
28-Feb-919,43716.1250.0700.2339047619
28-Mar-919,21018.8750.00.1705426357
30-Apr-919,21017.5000.0-0.0728476821
31-May-919,21017.7500.0700.0182857143
28-Jun-919,45217.0000.0-0.0422535211
31-Jul-919,45219.6250.00.1544117647
30-Aug-919,45220.6250.0700.054522293
30-Sep-919,21019.2500.0-0.0666666667
31-Oct-919,21020.3750.00.0584415584
29-Nov-919,21020.0000.070-0.0149693252
31-Dec-919,22027.7500.00.3875
31-Jan-929,22027.5000.0-0.009009009-0.001650
28-Feb-929,22028.5000.1800.04290909090.013290
31-Mar-929,29228.6250.00.0043859649-0.023680
30-Apr-929,29221.5000.0-0.24890829690.013850
29-May-929,29221.5000.0800.00372093020.006520
30-Jun-929,29221.0000.0-0.023255814-0.019240
31-Jul-929,29220.1250.0-0.04166666670.039930
31-Aug-929,29219.6250.080-0.0208695652-0.020760
30-Sep-929,88420.1250.00.0254777070.012420
30-Oct-929,88421.0000.00.04347826090.010900
30-Nov-929,88425.3750.0800.21214285710.040190
31-Dec-929,88424.7500.0-0.02463054190.017540
29-Jan-939,88427.0000.00.09090909090.012330
26-Feb-939,88426.0000.220-0.02888888890.005450
31-Mar-939,82427.1250.00.04326923080.025010
30-Apr-939,82425.1250.0-0.0737327189-0.025510
28-May-939,82426.1250.1000.04378109450.029420
30-Jun-9310,31528.8751.4430.16049760770.005130
30-Jul-9310,62330.7500.00.0649350649-0.000760
31-Aug-9310,62335.0000.1000.14146341460.039340
30-Sep-9310,64336.2500.00.03571428570.000610
29-Oct-9310,64335.8750.0-0.01034482760.018040
30-Nov-9310,67834.2500.100-0.0425087108-0.017350
31-Dec-9311,21235.7501.7880.0960.019450
31-Jan-9410,67835.3750.0-0.01048951050.031330
28-Feb-9411,23828.3750.270-0.1902473498-0.024090
31-Mar-9411,23825.6250.0-0.0969162996-0.045740
29-Apr-9411,23826.3750.00.02926829270.009830
31-May-9411,23826.8750.1200.0235071090.009500
30-Jun-9411,16825.3750.0-0.0558139535-0.027380
29-Jul-9411,16824.7500.0-0.02463054190.030410
31-Aug-9411,12129.2500.1200.18666666670.042830
30-Sep-9411,12125.8750.0-0.1153846154-0.018650
31-Oct-9411,11125.7500.0-0.00483091790.014870
30-Nov-9411,11124.7500.120-0.0341747573-0.037070
30-Dec-9411,11128.3750.00.14646464650.012750
31-Jan-9511,07530.8750.00.08810572690.020550
28-Feb-9511,07535.0000.2900.14299595140.039620
31-Mar-9511,07535.5000.00.01428571430.026970
28-Apr-9511,07540.6250.00.14436619720.024880
31-May-9511,07547.0000.00.15692307690.034160
30-Jun-9516,61336.6250.1501.50.17367021280.030840
31-Jul-9516,61338.5000.00.05119453920.040670
31-Aug-9516,61337.3750.100-0.02662337660.009340
29-Sep-9516,61345.8750.00.22742474920.036390
31-Oct-9524,92023.7500.01.5-0.2234332425-0.011150
30-Nov-9524,95225.3750.0700.07136842110.042970
29-Dec-9524,95220.5000.0-0.19211822660.015400
31-Jan-9625,05623.2500.00.13414634150.028090
29-Feb-9625,05626.2500.0800.13247311830.016050
29-Mar-9625,05629.5000.00.12380952380.011200
30-Apr-9625,05630.5000.00.03389830510.025130
31-May-9625,05633.8750.0700.11295081970.026720
28-Jun-9625,05632.5000.0-0.0405904059-0.007660
31-Jul-9625,17828.3750.0-0.1269230769-0.053390
30-Aug-9625,17829.2500.0800.03365638770.032220
30-Sep-9625,17826.5000.0-0.0940170940.052990
31-Oct-9625,17826.2500.0-0.00943396230.013940
29-Nov-9625,17828.3750.0800.0840.065730
31-Dec-9625,17829.8750.00.0528634361-0.011350
31-Jan-9725,17336.6250.00.2259414226
28-Feb-9725,17335.0000.190-0.0391808874
31-Mar-9737,76020.8750.01.5-0.1053571429
30-Apr-9737,76022.1250.00.0598802395
30-May-9737,76023.0000.0600.042259887
30-Jun-9738,60623.2500.00.0108695652
31-Jul-9738,66426.2500.00.1290322581
29-Aug-9738,66434.2500.0600.307047619
Waterhouse Investor Services
DateSharesPriceDividendStock Split
29-May-872,5726.9380.0
30-Jun-872,5728.0000.00.153070049
31-Jul-872,5728.2500.00.03125
31-Aug-872,5727.5000.0-0.0909090909
30-Sep-872,5728.0000.00.0666666667
30-Oct-872,5726.2500.0-0.21875
30-Nov-872,5726.0000.0-0.04
31-Dec-872,5725.2500.0-0.125
29-Jan-882,5724.5000.0-0.1428571429
29-Feb-882,4824.7500.00.0555555556
31-Mar-882,4826.0000.00.2631578947
29-Apr-882,4825.8750.0-0.0208333333
31-May-882,4826.2500.00.0638297872
30-Jun-882,4825.0000.0-0.2
29-Jul-882,4823.5000.0-0.3
31-Aug-882,4823.2500.0-0.0714285714
30-Sep-882,4824.0000.00.2307692308
31-Oct-882,4823.3750.0-0.15625
30-Nov-882,4823.5000.00.037037037
30-Dec-882,4822.7500.0-0.2142857143
31-Jan-892,4823.7500.00.3636363636
28-Feb-892,4723.7500.00
31-Mar-892,4724.7500.00.2666666667
28-Apr-892,4724.2500.0-0.1052631579
31-May-892,4205.0000.00.1764705882
30-Jun-892,4206.0000.00.2
31-Jul-892,4206.0000.00
31-Aug-892,4195.7500.120-0.0216666667
29-Sep-892,4195.6250.0-0.0217391304
31-Oct-892,4195.3750.0-0.0444444444
30-Nov-892,4175.0000.0-0.0697674419
29-Dec-892,4174.5000.0-0.1
31-Jan-902,4174.3750.0-0.0277777778
28-Feb-902,4203.7500.0-0.1428571429
30-Mar-902,4204.2500.00.1333333333
30-Apr-902,4204.3750.00.0294117647
31-May-902,5724.2500.0-0.0285714286
29-Jun-902,5724.7500.00.1176470588
31-Jul-902,5724.6250.0-0.0263157895
31-Aug-902,3774.3750.150-0.0216216216
28-Sep-902,3774.2500.0-0.0285714286
31-Oct-902,3774.0000.0-0.0588235294
30-Nov-902,3703.7500.0-0.0625
31-Dec-902,3703.6250.0-0.0333333333
31-Jan-912,3703.7500.00.0344827586
28-Feb-912,3204.5000.00.2
28-Mar-912,3206.1250.00.3611111111
30-Apr-912,3207.0000.00.1428571429
31-May-912,3208.2500.00.1785714286
28-Jun-912,9008.0000.01.250.2121212121
31-Jul-912,90010.3750.00.296875
30-Aug-912,94310.7500.1600.0515662651
30-Sep-912,94314.2500.00.3255813953
31-Oct-912,94314.0000.0-0.0175438596
29-Nov-912,94315.5000.00.1071428571
31-Dec-912,94327.5000.00.7741935484
31-Jan-922,94326.5000.0-0.0363636364-0.001650
28-Feb-924,41521.7500.01.50.23113207550.013290
31-Mar-924,46625.3750.00.1666666667-0.023680
30-Apr-924,46620.6250.0-0.18719211820.013850
29-May-924,46621.7500.00.05454545450.006520
30-Jun-924,46617.1250.0-0.2126436782-0.019240
31-Jul-924,46617.6250.00.02919708030.039930
31-Aug-924,46613.7500.200-0.2085106383-0.020760
30-Sep-924,84714.3750.00.04545454550.012420
30-Oct-924,84715.6250.00.08695652170.010900
30-Nov-924,84720.7500.00.3280.040190
31-Dec-924,84720.5000.0-0.01204819280.017540
29-Jan-934,84725.2500.00.23170731710.012330
26-Feb-934,84724.3750.0-0.03465346530.005450
31-Mar-936,07120.5000.01.250.05128205130.025010
30-Apr-936,07118.5000.0-0.0975609756-0.025510
28-May-936,07127.2500.00.4729729730.029420
30-Jun-936,07233.5000.00.22935779820.005130
30-Jul-936,07233.0000.0-0.0149253731-0.000760
31-Aug-936,07242.6250.2500.29924242420.039340
30-Sep-936,07250.1250.00.17595307920.000610
29-Oct-936,07247.2500.0-0.05735660850.018040
30-Nov-939,10825.7500.01.5-0.1825396825-0.017350
31-Dec-939,15021.2500.0-0.17475728160.019450
31-Jan-949,15021.2500.000.031330
28-Feb-949,15020.5000.0-0.0352941176-0.024090
31-Mar-949,15017.6250.0-0.1402439024-0.045740
29-Apr-949,15016.0000.0-0.09219858160.009830
31-May-949,15015.2500.0-0.0468750.009500
30-Jun-949,15013.3750.0-0.1229508197-0.027380
29-Jul-949,15013.0000.0-0.02803738320.030410
31-Aug-949,15017.0000.2000.32307692310.042830
30-Sep-949,15014.1250.0-0.1691176471-0.018650
31-Oct-949,15016.1250.00.14159292040.014870
30-Nov-949,15014.2500.0-0.1162790698-0.037070
30-Dec-949,15412.2500.0-0.14035087720.012750
31-Jan-959,15414.5000.00.18367346940.020550
28-Feb-959,15417.3750.00.19827586210.039620
31-Mar-959,15416.1250.0-0.0719424460.026970
28-Apr-959,15415.6250.0-0.03100775190.024880
31-May-959,15417.5000.00.120.034160
30-Jun-959,15423.0000.00.31428571430.030840
31-Jul-959,15427.6250.00.20108695650.040670
31-Aug-959,15428.6250.2500.04524886880.009340
29-Sep-9511,44225.5000.01.250.11353711790.036390
31-Oct-9511,44219.7500.0-0.2254901961-0.011150
30-Nov-9511,44219.7500.000.042970
29-Dec-9511,45224.7500.00.2531645570.015400
31-Jan-9611,45223.6250.0-0.04545454550.028090
29-Feb-9611,45224.6250.00.04232804230.016050
29-Mar-9611,45233.3750.00.35532994920.011200
30-Apr-9611,45236.2500.00.08614232210.025130
31-May-9611,45836.6250.00.01034482760.026720
28-Jun-9611,45837.1250.00.0136518771-0.007660
31-Jul-9611,50137.6250.00.0134680135-0.053390
30-Aug-9611,50137.3750.220-0.00079734220.032220
30-Sep-9611,50137.8750.00.01337792640.052990
0.013940
0.065730
Source: Center for Research on Security Prices, University of Chicago.-0.011350
&A
&C&P
Sheet1
SUMMARY OUTPUTAG Edwards
Regression Statistics
Multiple R0.4658
R Square0.2169
Adjusted R Square0.2034
Standard Error0.0688
Observations60
ANOVA
dfSSMSFSignificance F
Regression10.07602004120.076020041216.06693221420.0001767617
Residual580.27442465890.0047314596
Total590.3504447001
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept-0.010.01-0.680.50-0.02642688440.0130298429-0.02642688440.0130298429
X Variable 11.450.364.010.000.72561906432.17329474940.72561906432.1732947494
RESIDUAL OUTPUT
ObservationPredicted YResiduals
1-0.0090901247-0.0470198753
20.0125647615-0.0789947615
3-0.0410216603-0.0477383397
40.0133764574-0.1765964574
50.00275193830.0960180617
6-0.0345860717-0.0438439283
70.0511782935-0.0573082935
8-0.03678924620.0802492462
90.011303734-0.082733734
100.00910055950.1062794405
110.05155515230.1151148477
120.0187249534-0.0825649534
130.01117328290.0787767171
140.0012010194-0.0206210194
150.02955239650.0506476035
16-0.0436741665-0.0070158335
170.0359445014-0.0883745014
180.00073719320.0508128068
19-0.0078001080.071530108
200.0503231139-0.0401831139
21-0.00581435210.0883843521
220.01944968180.0271603182
23-0.0318465981-0.0005434019
240.0214934161-0.0544634161
250.0387129641-0.0224129641
26-0.0416159377-0.0065140623
27-0.0729966797-0.1173433203
280.0075496406-0.0215396406
290.00707131980.0646986802
30-0.0463846509-0.0336153491
310.0373794638-0.0228894638
320.05538171860.0946182814
33-0.0337308921-0.0524791079
340.0148549034-0.0011549034
35-0.06042988830.0004298883
360.01178205480.0316979452
370.0230878187-0.0022578187
380.05072896190.1737610381
390.032393332-0.048393332
400.02936396710.0104060329
410.0428149272-0.0537449272
420.0380027302-0.0373427302
430.05225089160.0366391084
440.0068394067-0.0119394067
450.04604721610.0520027839
46-0.0228599653-0.0193900347
470.05558464250.0095153575
480.0156231156-0.1313631156
490.03401672370.0183432763
500.0165652626-0.0513952626
510.00953539660.0228346034
520.0297263313-0.0850063313
530.03203096780.0583990322
54-0.01780136070.0825813607
55-0.0840850250.093305025
560.0400029808-0.0171729808
570.0701082007-0.0242182007
580.01350690850.0122430915
590.0885742817-0.0425442817
60-0.02314985670.1042698567
Sheet1
-0.05611-0.00165
-0.066430.01329
-0.08876-0.02368
-0.163220.01385
0.098770.00652
-0.07843-0.01924
-0.006130.03993
0.04346-0.02076
-0.071430.01242
0.115380.0109
0.166670.04019
-0.063840.01754
0.089950.01233
-0.019420.00545
0.08020.02501
-0.05069-0.02551
-0.052430.02942
0.051550.00513
0.06373-0.00076
0.010140.03934
0.082570.00061
0.046610.01804
-0.03239-0.01735
-0.032970.01945
0.01630.03133
-0.04813-0.02409
-0.19034-0.04574
-0.013990.00983
0.071770.0095
-0.08-0.02738
0.014490.03041
0.150.04283
-0.08621-0.01865
0.01370.01487
-0.06-0.03707
0.043480.01275
0.020830.02055
0.224490.03962
-0.0160.02697
0.039770.02488
-0.010930.03416
0.000660.03084
0.088890.04067
-0.00510.00934
0.098050.03639
-0.04225-0.01115
0.06510.04297
-0.115740.0154
0.052360.02809
-0.034830.01605
0.032370.0112
-0.055280.02513
0.090430.02672
0.06478-0.00766
0.00922-0.05339
0.022830.03222
0.045890.05299
0.025750.01394
0.046030.06573
0.08112-0.01135
Y
Predicted Y
Market return
AG Edwards
Sheet2
SUMMARY OUTPUTBear Stearns
Regression Statistics
Multiple R0.4657515429
R Square0.2169244997
Adjusted R Square0.203423198
Standard Error0.0687856063
Observations60
ANOVA
dfSSMSFSignificance F
Regression10.07602004120.076020041216.06693221420.0001767617
Residual580.27442465890.0047314596
Total590.3504447001
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept-0.00669852080.0098557257-0.67965779280.4994248666-0.02642688440.0130298429-0.02642688440.0130298429
X Variable 11.44945690680.36160866394.00835779520.00017676170.72561906432.17329474940.72561906432.1732947494
RESIDUAL OUTPUT
ObservationPredicted YResiduals
1-0.0090901247-0.0470198753
20.0125647615-0.0789947615
3-0.0410216603-0.0477383397
40.0133764574-0.1765964574
50.00275193830.0960180617
6-0.0345860717-0.0438439283
70.0511782935-0.0573082935
8-0.03678924620.0802492462
90.011303734-0.082733734
100.00910055950.1062794405
110.05155515230.1151148477
120.0187249534-0.0825649534
130.01117328290.0787767171
140.0012010194-0.0206210194
150.02955239650.0506476035
16-0.0436741665-0.0070158335
170.0359445014-0.0883745014
180.00073719320.0508128068
19-0.0078001080.071530108
200.0503231139-0.0401831139
21-0.00581435210.0883843521
220.01944968180.0271603182
23-0.0318465981-0.0005434019
240.0214934161-0.0544634161
250.0387129641-0.0224129641
26-0.0416159377-0.0065140623
27-0.0729966797-0.1173433203
280.0075496406-0.0215396406
290.00707131980.0646986802
30-0.0463846509-0.0336153491
310.0373794638-0.0228894638
320.05538171860.0946182814
33-0.0337308921-0.0524791079
340.0148549034-0.0011549034
35-0.06042988830.0004298883
360.01178205480.0316979452
370.0230878187-0.0022578187
380.05072896190.1737610381
390.032393332-0.048393332
400.02936396710.0104060329
410.0428149272-0.0537449272
420.0380027302-0.0373427302
430.05225089160.0366391084
440.0068394067-0.0119394067
450.04604721610.0520027839
46-0.0228599653-0.0193900347
470.05558464250.0095153575
480.0156231156-0.1313631156
490.03401672370.0183432763
500.0165652626-0.0513952626
510.00953539660.0228346034
520.0297263313-0.0850063313
530.03203096780.0583990322
54-0.01780136070.0825813607
55-0.0840850250.093305025
560.0400029808-0.0171729808
570.0701082007-0.0242182007
580.01350690850.0122430915
590.0885742817-0.0425442817
60-0.02314985670.1042698567
Sheet2
-0.056110
-0.066430
-0.088760
-0.163220
0.098770
-0.078430
-0.006130
0.043460
-0.071430
0.115380
0.166670
-0.063840
0.089950
-0.019420
0.08020
-0.050690
-0.052430
0.051550
0.063730
0.010140
0.082570
0.046610
-0.032390
-0.032970
0.01630
-0.048130
-0.190340
-0.013990
0.071770
-0.080
0.014490
0.150
-0.086210
0.01370
-0.060
0.043480
0.020830
0.224490
-0.0160
0.039770
-0.010930
0.000660
0.088890
-0.00510
0.098050
-0.042250
0.06510
-0.115740
0.052360
-0.034830
0.032370
-0.055280
0.090430
0.064780
0.009220
0.022830
0.045890
0.025750
0.046030
0.081120
Y
Predicted Y
Market return
Bear Stearns
Sheet3
SUMMARY OUTPUTLehman Bros.
Regression Statistics
Multiple R0.553843634
R Square0.3067427709
Adjusted R Square0.2828373492
Standard Error0.0754400428
Observations31
ANOVA
dfSSMSFSignificance F
Regression10.07302671750.073026717512.83151474470.0012276382
Residual290.16504480170.0056912001
Total300.2380715192
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept-0.00883287570.0161631026-0.54648392320.5889136665-0.04189015020.0242243988-0.04189015020.0242243988
X Variable 11.85312391720.51732741953.58211037580.00122763820.79506996682.91117786770.79506996682.9111778677
RESIDUAL OUTPUT
ObservationPredicted YResiduals
1-0.0595714086-0.1070985914
20.04752062260.0024793774
30.0705364217-0.0308564217
4-0.0433936368-0.0489163632
50.01872307690.0321269231
6-0.07752817930.0404281793
70.0147944542-0.0231944542
80.02924882080.1232911792
90.06458789390.0045321061
100.0411458763-0.0480458763
110.03727284740.0460571526
120.0544698373-0.0390898373
130.04831746590.0592725341
140.066533674-0.049393674
150.00847530170.0555646983
160.0586023036-0.0744723036
17-0.0294952074-0.0350247926
180.070795859-0.028265859
190.0197052326-0.0804752326
200.04322137510.1626586249
210.0209097632-0.0531097632
220.01192211220.0688878878
230.0377361283-0.0891361283
240.0406825954-0.0731925954
25-0.02302780490.0332278049
26-0.10777116160.0421111616
270.0508747769-0.1351947769
280.08936416070.1354858393
290.0169996717-0.0459896717
300.11297295940.0482170406
31-0.02986583220.1071158322
Sheet3
-0.166670
0.050
0.039680
-0.092310
0.050850
-0.03710
-0.00840
0.152540
0.069120
-0.00690
0.083330
0.015380
0.107590
0.017140
0.064040
-0.015870
-0.064520
0.042530
-0.060770
0.205880
-0.03220
0.080810
-0.05140
-0.032510
0.01020
-0.065660
-0.084320
0.224850
-0.028990
0.161190
0.077250
Y
Predicted Y
X Variable 1
Y
X Variable 1 Line Fit Plot
Sheet4
SUMMARY OUTPUTMecklermedia
Regression Statistics
Multiple R0.2821509839
R Square0.0796091777
Adjusted R Square0.0508469645
Standard Error0.2926898244
Observations34
ANOVA
dfSSMSFSignificance F
Regression10.23711339290.23711339292.76783907930.1059404637
Residual322.74135466520.0856673333
Total332.9784680581
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept0.04371307150.05710979760.76542157920.4496294427-0.07261568110.1600418241-0.07261568110.1600418241
X Variable 13.07123463861.8460462561.66368238530.1059404637-0.68903535026.8315046274-0.68903535026.8315046274
RESIDUAL OUTPUT
ObservationPredicted YResiduals
1-0.09676520090.0517152009
20.073903308-0.073903308
30.07288980060.8327701994
4-0.0403773329-0.0883326671
50.1371093169-0.1484693169
60.1752540511-0.4511140511
7-0.0135654545-0.0181845455
80.0893823306-0.4008623306
9-0.0701375965-0.0012924035
100.08287131310.3273886869
110.1068269433-0.2886469433
120.1653953879-0.0098353879
130.12654426970.6042257303
140.12012538930.4465446107
150.14862644680.3691035532
160.13842994780.2727800522
170.1686201843-0.1752401843
180.0723984030.054271597
190.1554753-0.2679053
200.0094688053-0.3827988053
210.17568402390.3349559761
220.0910100849-0.1896000849
230.1299840525-0.3155340525
240.0930063875-0.2488863875
250.07811089950.0127991005
260.1208931980.212436802
270.1257764610.030473539
280.02018741420.0744025858
29-0.1202601458-0.0525798542
300.1426682516-0.0978882516
310.206457795-0.177887795
320.0865260824-0.1212460824
330.2455853243-0.0801153243
340.0088545584-0.0335445584
Sheet4
-0.045050
00
0.905660
-0.128710
-0.011360
-0.275860
-0.031750
-0.311480
-0.071430
0.410260
-0.181820
0.155560
0.730770
0.566670
0.517730
0.411210
-0.006620
0.126670
-0.112430
-0.373330
0.510640
-0.098590
-0.185550
-0.155880
0.090910
0.333330
0.156250
0.094590
-0.172840
0.044780
0.028570
-0.034720
0.165470
-0.024690
Y
Predicted Y
X Variable 1
Y
X Variable 1 Line Fit Plot
Sheet5
SUMMARY OUTPUTMerrill Lynch
Regression Statistics
Multiple R0.6436984922
R Square0.4143477489
Adjusted R Square0.4042502963
Standard Error0.0541233656
Observations60
ANOVA
dfSSMSFSignificance F
Regression10.12020506040.120205060441.03487930470.0000000289
Residual580.16990164510.0029293387
Total590.2901067055
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept-0.00040802170.0077548934-0.05261474580.9582196686-0.01593111580.0151150723-0.01593111580.0151150723
X Variable 11.82264728520.28452868256.40584727450.00000002891.25310167362.39219289691.25310167362.3921928969
RESIDUAL OUTPUT
ObservationPredicted YResiduals
1-0.0034153898-0.0282946102
20.0238149607-0.0434649607
3-0.04356830950.0279083095
40.0248356432-0.1339256432
50.0114756386-0.0155556386
6-0.03547575550.0767157555
70.0723702844-0.0525702844
8-0.03824617940.0076661794
90.0222292575-0.0020792575
100.01945883370.0743711663
110.07284417260.0228658274
120.0315612116-0.0460512116
130.02206521930.0766747807
140.0095254060.037124594
150.04517638690.0006936131
16-0.0469037540.036373754
170.05321426140.0262157386
180.00894215880.0603678412
19-0.00179323370.0758632337
200.07129492250.0476750775
210.00070379310.0096062069
220.0324725353-0.0398725353
23-0.0320309521-0.0311990479
240.035042468-0.109422468
250.05669551770.0165144823
26-0.0443155948-0.0503944052
27-0.08377590860.0006959086
280.0175086011-0.0275786011
290.01690712750.0469528725
30-0.0503121044-0.0522478956
310.0550186822-0.0085886822
320.07765596150.0378340385
33-0.0344003936-0.1132896064
340.02669474340.1171352566
35-0.06797355660.0330535566
360.0228307311-0.0820407311
370.03704738-0.00613738
380.07180526370.0476447363
390.0487487755-0.0121587755
400.04493944270.0256505573
410.0618536095-0.0231736095
420.05580242050.0612175795
430.0737190433-0.0165790433
440.01661550390.0263544961
450.0659181130.018681887
46-0.020730539-0.091269461
470.0779111321-0.0732311321
480.0276607464-0.1087407464
490.05079014050.0694998595
500.0288454672-0.0156554672
510.02000562780.0342243722
520.0453951045-0.0515651045
530.04829311370.0291368863
54-0.01436949990.0201594999
55-0.09771916030.0293891603
560.0583176738-0.0438276738
570.0961740579-0.0206640579
580.02499968140.0414103186
590.11939458430.0272254157
60-0.02109506840.0366750684
Sheet5
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-0.004080
0.041240
0.01980
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0.020150
0.093830
0.095710
-0.014490
0.098740
0.046650
0.045870
-0.010530
0.079430
0.069310
0.074070
0.118970
0.010310
-0.00740
-0.063230
-0.074380
0.073210
-0.094710
-0.083080
-0.010070
0.063860
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0.046430
0.115490
-0.147690
0.143830
-0.034920
-0.059210
0.030910
0.119450
0.036590
0.070590
0.038680
0.117020
0.057140
0.042970
0.08460
-0.1120
0.004680
-0.081080
0.120290
0.013190
0.054230
-0.006170
0.077430
0.005790
-0.068330
0.014490
0.075510
0.066410
0.146620
0.015580
Y
Predicted Y
X Variable 1
Y
X Variable 1 Line Fit Plot
Sheet6
SUMMARY OUTPUTMorgan Stanley
Regression Statistics
Multiple R0.6509261785
R Square0.4237048898
Adjusted R Square0.4137687672
Standard Error0.0609521535
Observations60
ANOVA
dfSSMSFSignificance F
Regression10.15842533830.158425338342.64288066470.000000018
Residual580.21547957070.003715165
Total590.373904909
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%
Intercept-0.01059510160.0087333344-1.21317941840.2299790276-0.02807675670.0068865535-0.02807675670.0068865535
X Variable 12.09244272490.32042789126.53015165710.0000000181.45103709332.73384835661.45103709332.7338483566
RESIDUAL OUTPUT
ObservationPredicted YResiduals
1-0.0140476321-0.0959923679
20.0172134622-0.0260634622
3-0.06014414530.0467541453
40.0183852301-0.1292452301
50.0030476250.047642375
6-0.05085369960.0265236996
70.07295613640.0243038636
8-0.0540342126-0.0211457874
90.015393037-0.067243037
100.01221252410.0190374759
110.07350017150.0020598285
120.02610634380.0257836562
130.01520471720.0004952828
140.00080871130.0212712887
150.0417368910.068763109
16-0.0639733155-0.0004766845
170.05096456340.0513354366
180.00013912960.0513008704
19-0.01218535810.0320753581
200.07172159520.1076384048
21-0.00931871150.0590887115
220.0271525652-0.1234125652
23-0.0468989829-0.0371110171
240.0301029094-0.0440429094
250.0549611290.066948871
26-0.0610020468-0.0958479532
27-0.10630343180.0669034318
280.0099736104-0.0470836104
290.0092831043-0.0348431043
30-0.06788618340.0197661834
310.05303608170.0128939183
320.07902422030.0764357797
33-0.0496191584-0.0597008416
340.02051952170.0317904783
35-0.0881619534-0.0028480466
360.0160835431-0.0181935431
370.0324045964-0.0133345964
380.07230747920.0482725208
390.0458380787-0.0410880787
400.0414648734-0.0099248734
410.06088274190.0344372581
420.0539358320.023244168
430.074504544-0.050784544
440.00894831350.0299116865
450.06554888920.0510011108
46-0.033925838-0.065864162
470.0793171623-0.0879371623
480.0216285164-0.0868485164
490.04818161450.1375583855
500.0229886041-0.0387386041
510.01284025690.0964897431
520.0419879841-0.0722779841
530.045314968-0.060244968
54-0.02662321290.0190432129
55-0.12231061870.1182406187
560.056823403-0.077333403
570.1002834384-0.0584034384
580.01857355-0.00500355
590.12694115870.0695788413
60-0.0343443265-0.0155556735
Sheet6
-0.110040
-0.008850
-0.013390
-0.110860
0.050690
-0.024330
0.097260
-0.075180
-0.051850
0.031250
0.075560
0.051890
0.01570
0.022080
0.11050
-0.064450
0.10230
0.051440
0.019890
0.179360
0.049770
-0.096260
-0.084010
-0.013940
0.121910
-0.156850
-0.03940
-0.037110
-0.025560
-0.048120
0.065930
0.155460
-0.109320
0.052310
-0.091010
-0.002110
0.019070
0.120580
0.004750
0.031540
0.095320
0.077180
0.023720
0.038860
0.116550
-0.099790
-0.008620
-0.065220
0.185740
-0.015750
0.109330
-0.030290
-0.014930
-0.007580
-0.004070
-0.020510
0.041880
0.013570
0.196520
-0.04990
Y
Predicted Y
X Variable 1
Y
X Variable 1 Line Fit Plot
Exhibit 6
DateA G EdwardsBear StearnsLehman Bros.Meckler-mediaMerrill LynchMorgan StanleyDean WitterNetscapePaineWebberRaymondJamesYahoo!VW NYSE,AMEX, andNASDAQEW NYSE,AMEX, andNASDAQ
31-Jan-840.026040-0.013280-0.0428600.040000-0.0129100.005760
29-Feb-84-0.111680-0.167330-0.175370-0.102560-0.039170-0.053810
30-Mar-84-0.042290-0.0191400.073300-0.0500000.0134500.007100
30-Apr-840.012050-0.0117100.080510-0.0676700.002730-0.019420
31-May-84-0.017860-0.044780-0.113730-0.072580-0.052350-0.050770
29-Jun-840.1006100.1197900.084960-0.0434800.0235900.013800
31-Jul-840.016670-0.076280-0.0901600.018180-0.020350-0.047450
31-Aug-840.1781400.3045700.1891900.2142900.1125700.089620
28-Sep-84-0.032710-0.077820-0.105300-0.0294100.0003900.000270
31-Oct-840.0241500.0236300.0297900.0151500.000130-0.020890
30-Nov-84-0.066040-0.091290-0.041320-0.179100-0.010620-0.031410
31-Dec-84-0.017170-0.013700-0.046550-0.0545500.0237900.005050
31-Jan-850.3316100.2777800.4318200.4307700.0857300.122760
28-Feb-85-0.007780-0.023190-0.0222200.0270300.0170000.047140
29-Mar-85-0.036860-0.0858200.0266200.013160-0.001930-0.008530
30-Apr-85-0.094260-0.034290-0.123810-0.025970-0.002180-0.011290
31-May-850.0859700.0893600.0652200.0133300.0558700.022930
28-Jun-850.1025000.011720-0.0401400.0394700.0171900.003470
31-Jul-85-0.0646400.040930-0.0925300.017720-0.0005400.019510
30-Aug-85-0.036590-0.052240-0.0384300.025000-0.004800-0.003410
30-Sep-85-0.132490-0.141730-0.049180-0.048780-0.039650-0.056140
31-Oct-850.0882400.1009200.0086200.0000000.0445700.018960
29-Nov-850.099100-0.1034500.1275000.1974400.2564100.0692700.053270
31-Dec-850.1418000.1935900.0223000.0035800.0159200.0430600.029130
31-Jan-860.0397100.1567600.1527300.1071400.2888900.0098600.043400
28-Feb-860.1493100.1308400.0365900.0683900.1034500.0728400.062360
31-Mar-860.0839900.1287200.0122300.0363600.1718800.0538800.047720
30-Apr-86-0.0868300.065640-0.1027200.051150-0.137430-0.100000-0.0080600.015840
30-May-860.0260700.003620-0.0080800.0134200.051530-0.0074100.0508100.036630
30-Jun-86-0.066370-0.168520-0.054610-0.062910-0.116500-0.0406000.0143000.008960
31-Jul-86-0.067630-0.141920-0.039710-0.070670-0.010990-0.187500-0.059690-0.073610
29-Aug-860.1046600.1603100.1451100.1490500.1759300.0384600.0663900.022110
30-Sep-86-0.094340-0.145530-0.052810-0.119400-0.015590-0.092590-0.079140-0.060490
31-Oct-860.1510400.2170500.1951200.1608300.1726900.0816300.0494400.024620
28-Nov-86-0.022620-0.057320-0.074050-0.030890-0.075210-0.0566000.015170-0.006280
31-Dec-86-0.040740-0.102160-0.075950-0.129190-0.063200-0.026800-0.026540-0.034530
30-Jan-870.3349500.3181800.1986300.1129100.1785700.3195900.1283700.116820
27-Feb-870.000000-0.022990-0.015430-0.048610-0.0335400.2890600.0476300.074950
31-Mar-870.044950-0.024650-0.0029200.036500-0.0035000.2619400.0232400.033090
30-Apr-87-0.122380-0.121020-0.1520500.005280-0.084210-0.116400-0.017130-0.019610
29-May-87-0.023900-0.028990-0.0413800.020320-0.061150-0.1018000.0052200.000710
30-Jun-87-0.1046500.0220900.010870-0.0034400.020490-0.0312000.0438300.022010
31-Jul-870.073390-0.0073500.1003600.0234900.052210-0.0620700.0440500.034700
31-Aug-870.0271800.1037000.0325700.0693700.0230500.1691200.0372300.015590
30-Sep-87-0.0711300.080270-0.0317500.023730-0.029960-0.142640-0.020740-0.015510
30-Oct-87-0.337840-0.400000-0.357380-0.337560-0.474900-0.352940-0.224870-0.270850
30-Nov-87-0.174420-0.145830-0.153060-0.163930-0.021760-0.113640-0.072900-0.052300
31-Dec-870.0333300.0239000.0914600.148460-0.128790-0.0384600.0704100.027940
29-Jan-880.0806500.1445800.072630-0.0195100.1130400.1376000.0453400.078110
29-Feb-880.0623900.1578900.0625000.1686600.109690-0.0352900.0516100.062010
31-Mar-88-0.035460-0.054550-0.0643600.055560-0.0780100.089270-0.0170600.034370
29-Apr-880.0294100.0194200.0000000.106880-0.038460-0.0674200.0110000.015250
31-May-88-0.042860-0.0857100.031750-0.0862400.032320-0.0481900.000940-0.017020
30-Jun-880.1594000.0937500.1139900.2751000.070310-0.0086100.0513900.048480
29-Jul-88-0.006490-0.0673100.0139500.004720-0.0365000.025640-0.0071800.000550
31-Aug-88-0.039220-0.041240-0.050460-0.0157200.038180-0.050000-0.027940-0.023710
30-Sep-880.0840800.0286700.039020-0.0031900.0367600.0173700.0372800.018700
31-Oct-88-0.0063300.0842100.0516400.051280-0.0283700.1576300.017650-0.011780
30-Nov-88-0.0573200.029130-0.049550-0.036700-0.065400-0.069770-0.016400-0.036700
30-Dec-880.042970-0.038100-0.0900500.0539700.0157500.1050000.0208000.019540
31-Jan-890.1699300.1782200.2708300.0783100.1162800.1931800.0659400.063130
28-Feb-89-0.0446900.001010-0.0371900.0324000.0280600.051430-0.0163600.002790
31-Mar-89-0.0388300.025420-0.0472100.006110-0.047620-0.0090900.0215500.017030
28-Apr-89-0.006130-0.0413200.040540-0.0550600.0142900.0183500.0485300.030680
31-May-890.1543200.0687100.0606100.1376300.0707000.0900900.0396500.027370
30-Jun-89-0.0034200.034190-0.061730-0.017010-0.0264900.069420-0.004980-0.008330
31-Jul-890.1783800.1074400.2324600.1100000.2585000.1472900.0777200.031610
31-Aug-890.0871600.034850-0.0394300.0626100.016430-0.0135100.0222800.019290
29-Sep-890.008270-0.083970-0.108210-0.063830-0.1604300.009590-0.0017500.004470
31-Oct-89-0.148150-0.075000-0.025100-0.069580-0.121020-0.122450-0.029380-0.050950
30-Nov-890.103260-0.034950-0.0865800.050940-0.0142000.0155000.017850-0.008220
29-Dec-89-0.0967500.009430-0.004740-0.0718100.000000-0.0610700.018280-0.012170
31-Jan-90-0.115380-0.028040-0.133330-0.077370-0.037040-0.012360-0.070050-0.045810
28-Feb-900.0559000.0607700.0000000.0295400.0387700.1487600.0149800.015750
30-Mar-900.137410-0.038460-0.0333300.0082000.0447800.0754000.0241500.022040
30-Apr-90-0.104170-0.020000-0.0344800.028460-0.042860-0.013420-0.028160-0.026720
31-May-900.2034900.1792900.1385500.1292200.1197000.1189100.0888700.046650
29-Jun-90-0.007920-0.009170-0.0476200.0246500.013420-0.036590-0.0043000.005380
31-Jul-90-0.058820-0.0833300.061110-0.163230-0.0662300.000000-0.009380-0.027290
31-Aug-90-0.081460-0.097780-0.132280-0.068180-0.113190-0.101270-0.091730-0.109790
28-Sep-90-0.268570-0.142860-0.091460-0.121950-0.096770-0.116340-0.053870-0.080490
31-Oct-900.046880-0.097220-0.046980-0.012630-0.151790-0.048000-0.012420-0.056330
30-Nov-900.1194000.1249200.1071400.0927800.1267400.0840300.0659800.036650
31-Dec-900.0957300.1250000.0709700.0259400.0377400.1445000.029540-0.003870
31-Jan-910.2024500.1358000.1867500.1011500.0545500.0748300.0490400.085250
28-Feb-910.1683700.1426100.1725900.1848700.3193100.2192400.0756900.133650
28-Mar-910.1369400.1250000.2183400.1773000.1973700.2708300.0287800.077820
30-Apr-910.0193100.0341900.089610-0.0150600.0549500.0573800.0033500.031020
31-May-910.0757600.0946300.0860900.087560-0.0414600.0639500.0405900.030340
28-Jun-91-0.099720-0.128000-0.064020-0.103110-0.142080-0.041090-0.044240-0.034500
31-Jul-910.1988200.1100900.0814300.1612000.0955400.0342900.0468300.034920
30-Aug-910.025220-0.0148800.0181800.0299700.0816300.0386700.0269100.028570
30-Sep-910.2029000.0169500.1488100.0634900.1189200.114260-0.0110600.008670
31-Oct-910.0763100.0583300.0725400.0812900.2029000.1052600.0177200.023860
29-Nov-91-0.126870-0.039760-0.067630-0.016170-0.152610-0.125540-0.037270-0.025390
31-Dec-910.2996600.1826100.2317700.1971800.3350700.2178200.1070400.036450
31-Jan-92-0.0561100.066180-0.031710-0.110040-0.0160400.165530-0.0016500.149480
28-Feb-92-0.0664300.080000-0.019650-0.0088500.080430-0.0035000.0132900.052010
31-Mar-92-0.088760-0.077420-0.015660-0.013390-0.0454500.128840-0.023680-0.014120
30-Apr-92-0.163220-0.006990-0.109090-0.110860-0.142860-0.1355100.013850-0.032890
29-May-920.0987700.006690-0.0040800.0506900.049140-0.0864900.0065200.005500
30-Jun-92-0.078430-0.0222200.041240-0.0243300.023670-0.014910-0.019240-0.039700
31-Jul-92-0.006130-0.0454500.0198000.0972600.0693600.0060200.0399300.027280
31-Aug-920.043460-0.014290-0.030580-0.075180-0.135350-0.071860-0.020760-0.024440
30-Sep-92-0.0714300.0162600.020150-0.051850-0.106920-0.1130300.0124200.011930
30-Oct-920.1153800.0240000.0938300.0312500.1408500.1167900.0109000.016320
30-Nov-920.1666700.1003900.0957100.0755600.1972800.2091500.0401900.067730
31-Dec-92-0.0638400.045110-0.0144900.0518900.010360-0.0324300.0175400.035650
29-Jan-930.089950-0.0143900.0987400.0157000.0359000.1376500.0123300.066740
26-Feb-93-0.019420-0.0058400.0466500.022080-0.054650-0.1379300.005450-0.007910
31-Mar-930.0802000.0814800.0458700.1105000.0894700.0436600.0250100.030880
30-Apr-93-0.0506900.089040-0.010530-0.064450-0.0724600.005490-0.025510-0.012760
28-May-93-0.0524300.1333300.0794300.1023000.1364600.0382500.0294200.037950
30-Jun-930.0515500.0502800.0693100.0514400.0737300.0033700.0051300.011970
30-Jul-930.0637300.0266000.0740700.0198900.034330-0.057890-0.0007600.014100
31-Aug-930.0101400.0399000.1189700.1793600.0672200.1544100.0393400.040400
30-Sep-930.0825700.0421100.0103100.0497700.0195300.0873800.0006100.025790
29-Oct-930.046610-0.111110-0.007400-0.096260-0.099620-0.0357100.0180400.040090
30-Nov-93-0.0323900.018180-0.063230-0.084010-0.088510-0.027780-0.017350-0.024370
31-Dec-93-0.032970-0.016850-0.074380-0.0139400.014080-0.0500000.0194500.016120
31-Jan-940.0163000.1142900.0732100.1219100.0972200.0649600.0313300.048920
28-Feb-94-0.048130-0.106670-0.094710-0.156850-0.097050-0.070920-0.024090-0.009490
31-Mar-94-0.190340-0.098270-0.045050-0.083080-0.039400-0.047010-0.048550-0.045740-0.046020
29-Apr-94-0.0139900.0833300.000000-0.010070-0.037110-0.007410-0.0403200.009830-0.010820
31-May-940.0717700.0198200.9056600.063860-0.025560-0.007760-0.0030300.009500-0.000270
30-Jun-94-0.080000-0.165640-0.166670-0.128710-0.102560-0.048120-0.053030-0.016950-0.027380-0.026570
29-Jul-940.014490-0.0514700.050000-0.0113600.0464300.0659300.032000-0.0689700.0304100.015470
31-Aug-940.1500000.1410900.039680-0.2758600.1154900.1554600.0151900.1851900.0428300.036790
30-Sep-94-0.086210-0.123290-0.092310-0.031750-0.147690-0.109320-0.115380-0.026250-0.0186500.004500
31-Oct-940.0137000.0156300.050850-0.3114800.1438300.0523100.060870-0.0322600.014870-0.002400
30-Nov-94-0.060000-0.029230-0.037100-0.071430-0.034920-0.091010-0.098690-0.041670-0.037070-0.040570
30-Dec-940.043480-0.016000-0.0084000.410260-0.059210-0.0021100.100920-0.0260900.012750-0.012860
31-Jan-950.0208300.0813000.152540-0.1818200.0309100.0190700.0000000.0957100.0205500.027710
28-Feb-950.2244900.1368400.0691200.1555600.1194500.1205800.1663300.1639300.0396200.027990
31-Mar-95-0.016000-0.013330-0.0069000.7307700.0365900.004750-0.071940-0.0231000.0269700.018740
28-Apr-950.0397700.1148600.0833300.5666700.0705900.0315400.0620200.0144900.0248800.025980
31-May-95-0.0109300.0381800.0153800.5177300.0386800.0953200.1602900.0500000.0341600.020500
30-Jun-950.0006600.0555600.1075900.4112100.1170200.077180-0.0443000.0593200.0308400.048690
31-Jul-950.0888900.0350900.017140-0.0066200.0571400.0237200.0860900.1225800.0406700.055180
31-Aug-95-0.005100-0.0610200.0640400.1266700.0429700.038860-0.0551200.0114900.0093400.030380
29-Sep-950.0980500.042420-0.015870-0.1124300.0846000.1165500.2626300.025970-0.0072700.0363900.025990
31-Oct-95-0.042250-0.075580-0.064520-0.373330-0.112000-0.0997900.4080000.120250-0.011490-0.011150-0.040580
30-Nov-950.0651000.1018900.0425300.5106400.004680-0.0086200.5710200.0110700.0523300.0429700.017200
29-Dec-95-0.115740-0.086210-0.060770-0.098590-0.081080-0.0652200.005420-0.101120-0.0565700.0154000.009780
31-Jan-960.0523600.1572300.205880-0.1855500.1202900.1857400.1816500.0375000.0352900.0280900.033290
29-Feb-96-0.0348300.060870-0.032200-0.1558800.013190-0.015750-0.379000-0.0363900.0056800.0160500.031540
29-Mar-960.0323700.0206200.0808100.0909100.0542300.109330-0.1862700.1069200.0212400.0112000.024120
30-Apr-96-0.0552800.015150-0.0514000.333330-0.006170-0.0302900.469880-0.0511400.0055600.0251300.057330
31-May-960.0904300.014180-0.0325100.1562500.077430-0.0149300.1157800.0536500.005520-0.0588200.0267200.061050
28-Jun-960.064780-0.0207300.0102000.0945900.005790-0.007580-0.0854000.085710-0.001320-0.250000-0.007660-0.030600
31-Jul-960.009220-0.047620-0.065660-0.172840-0.068330-0.004070-0.365460-0.115790-0.077350-0.142860-0.053390-0.078620
30-Aug-960.0228300.045560-0.0843200.0447800.014490-0.020510-0.104430-0.0121400.1197600.0902800.0322200.044770
30-Sep-960.045890-0.0053500.2248500.0285700.0755100.0418800.3109500.0181800.0415000.0828000.0529900.028970
31-Oct-960.0257500.016130-0.028990-0.0347200.0664100.013570-0.0458200.1190500.005150-0.0705900.013940-0.019970
29-Nov-960.0460300.1703700.1611900.1654700.1466200.1965200.2627100.1542600.164100-0.0316500.0657300.024770
31-Dec-960.0811200.0136400.077250-0.0246900.015580-0.0499000.0179000.0412900.065550-0.111110-0.011350-0.001420
31-Jan-970.0111500.0762300.0079700.0506300.0322100.003500-0.3340700.2800000.0705400.9926500.0530400.061720
28-Feb-970.0441200.0550000.0651400.3373500.1447300.105030-0.231020-0.0895800.034880-0.107010-0.000880-0.010430
31-Mar-97-0.128730-0.125000-0.130110-0.135140-0.105470-0.0693100.032190-0.134100-0.050040-0.070250-0.044390-0.047880
30-Apr-970.1382100.1619000.1623900.0625000.1109200.077870-0.0997900.2035400.1087000.2133300.042460-0.021390
30-May-970.0607100.0704900.207650-0.2451000.1157900.0752500.0923800.0485300.176470-0.0549500.0712500.085170
30-Jun-970.1563600.051920-0.012200-0.0129900.1250000.0468200.084570-0.014080-0.0016400.0930200.0442000.044240
31-Jul-97-0.0117000.1992700.2314800.0657900.1813400.2209600.1442500.1482100.0570800.6028400.0763100.048620
29-Aug-97-0.059170-0.031400-0.121600-0.006170-0.124050-0.0822400.085180-0.0435500.0021600.053100-0.0364500.027020
Source: Center for Research on Security Prices, University of Chicago.
&A
&C&P
Regression for Charles Schwab
Corporate WACC vs. Project WACCThe corporate WACC is not necessarily the cost of capital for a project within the firm:The systematic risk of the project could differ from the average systematic risk of the firms projectsThe target capital structure for the project (thought of as a mini-firm) could differ from the corporate target capital structure
ExpectedRatesOfReturnCompany-wideWACCProject-betaAdjustedCost of capitalAvg. companyProject betaProject BetaXY
How do you estimate the beta of a project or division?Peer methodCollect a sample of publicly traded firms which are essentially like (you think they face the same systematic risk) the project or division being valuedEstimate (or look them up) the peer companies equity betasAssuming they face the same business risk, not the same financial risk (I.e., different capital structures)
Equity riskEquity beta risk has two sources:Business risk (the risk of the asset cash flows)which would equal the equity risk if the business were unlevered (I.e., if it had no debt)Financial riskThe magnification of the business risk from the perspective of the equityholders because of the presence of debt in the capital structure.
Unlever the peer betasPeers have same business risk as projectso back out the financial risk How?First, estimate reL for peers using CAPMThen use the unlevering formula:reU = [reL + (1-T)(D/E)(rd)]/[1 + (1-T)(D/E)]For this formula, you technically need the peers costs of debt and marginal tax rates (for our assignment, assume the same as Marriotts)
Average the reUsThese are now estimates of required returns for business risk only!Average the reUsThis is your projects reU
The WACC needs reLYou are using WACC to value the project or divisionHow do you get reL for the WACC?Relevering formula:reL = reU + (1-T)(D/E)(reU - rd)
Plug in your WACCYour reL is now ready for your WACCEstimate Tc, the capital structure weights and rd and youre ready to go!Look at the lodging WACCAssignment: Bring back a restaurant division WACC!
Extra creditFor extra credit, bring back a contract services division WACCThere are no peers given for contract servicesBut you can estimate WACC, reu, reL, etc. for Marriott as a whole!