Investigate the issue of heteroskedastic disturbances

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Reference no: EM131133277

The capital asset pricing model (CAPM) is an important model in the field of finance. It explains variations in the rate of return on a security as a function of the rate of return on a portfolio consisting of all publicly traded stocks, which is called the market portfolio. Generally the rate of return on any investment is measured relative to its opportunity cost, which is the return on a risk free asset. The resulting difference is called the risk premium since it is the reward or punishment for making a risky investment. The CAPM says that the risk premium on security j is proportional to the risk premium on the market portfolio. That is,

(1) rj - rrf = βj(rm - rrf)        

where rj is the return to security j, rjf  is the risk free rate, rm is the return on the market portfolio and βj is the "beta" of security j. A stock's beta is important to investors since it reveals the stock's volatility. It measures the sensitivity of security j return to variation in the whole stock market. As such, values of beta less than 1 indicate that the stock is "defensive" since its variation is less than the market's. A beta greater than 1 indicates an "aggressive" stock. Investors usually want an estimate of the stock's beta before purchasing it. The CAPM model is the theoretical model. The econometric model is obtained by including an intercept (even though the theoretical model says that it should be zero) and an error term in the model:

(2) rj - rrf = αj + βj(rm - rrf) + ε         

PART 1

1. Explain why the econometric model (equation 2) is a simple regression model like those discussed in class.

2. Choose a public corporation whose stocks are traded in the NYSE. For example, you may choose MICROSOFT, GE, GM, IBM, DISNEY, and MOBIL-EXXON. Using the Finance portal in Yahoo, download monthly data on the stock of your chosen public corporation for the period December 1997 to December 2008 and construct the monthly returns (January 1998 to December 2008) as log differences (not in percent).I attach at the end of this file the return series on the market portfolio (represented by the S&P 500) MKT and the return series on the risk free asset RISKFREE. The 132 observations cover the period January 1998 to December 2008. Estimate the CAPM model for each corporation and comment on their estimated beta values. Interpret your estimates. Does your stock appear aggressive? Defensive?

3. Finance theory (equation 1) says that the intercept parameter should be zero. Does this seem correct given your estimates? Draw a scatter diagram of your data and plot the fitted regression line along with the scatter diagram.

4. Estimate the model (equation 2) under the assumption that the intercept is zero. Do the estimates of beta change much?

5. What is the standard error of βj? Test the null that βj is zero (at alpha = 0.01). What is RSS, ESS, TSS, R-square? Construct the ANOVA test.

PART 2-

There are, however, potential problems with the previous econometric findings.

6. The beta may not be constant through time. Use the dummy variable approach and the Chow test approach to determine whether the assumption of parameter constancy is valid. Use 2001m10 as the break date.

7. The error variance may not be constant through time. This is known as heteroskedasticity. Use the White test to investigate the issue of heteroskedastic disturbances.

8. The errors may be correlated through time. This is known as autocorrelation or serial correlation. Use the Durbin Watson test to test the hypothesis of first order positive autocorrelation.

9. Returns may be non-linearly related to market returns rather than the linear relation that is suggested in the statistical model. Construct a test for linearity.

10. To add some dynamic content, re-estimate the model by including the one month lag of the market risk premium. Is the lagged market risk premium significant?

date

MKT

RISKFREE

19980130

0.004529

0.004188

19980227

0.07323

0.004268

19980331

0.051322

0.004358

19980430

0.010862

0.00394

19980529

-0.025755

0.003806

19980630

0.031954

0.003919

19980731

-0.023264

0.003954

19980831

-0.157667

0.003909

19980930

0.063836

0.003357

19981030

0.074357

0.00296

19981130

0.061986

0.003702

19981231

0.063053

0.003662

19990129

0.038346

0.003674

19990226

-0.038105

0.003755

19990331

0.037862

0.003798

19990430

0.049

0.00371

19990528

-0.02072

0.003683

19990630

0.05102

0.003698

19990730

-0.030635

0.003708

19990831

-0.009983

0.00375

19990930

-0.022867

0.003751

19991029

0.062048

0.003638

19991130

0.036856

0.003809

19991231

0.083925

0.004252

20000131

-0.039753

0.004488

20000229

0.03177

0.004428

20000331

0.053552

0.00488

20000428

-0.059467

0.004392

20000531

-0.039047

0.003896

20000630

0.051649

0.004691

20000731

-0.017105

0.004896

20000831

0.075811

0.005195

20000929

-0.051139

0.004933

20001031

-0.024564

0.005023

20001130

-0.102546

0.005099

20001229

0.020346

0.004808

20010131

0.039533

0.004023

20010228

-0.099267

0.004178

20010330

-0.07029

0.003693

20010430

0.083904

0.003118

20010531

0.010561

0.002871

20010629

-0.017481

0.002846

20010731

-0.018321

0.003033

20010831

-0.05908

0.002812

20010928

-0.09154

0.001982

20011031

0.027967

0.001744

20011130

0.078734

0.00144

20011231

0.017841

0.001363

20020131

-0.01606

0.001408

20020228

-0.021705

0.001444

20020328

0.044693

0.001425

20020430

-0.049649

0.001461

20020531

-0.010458

0.001408

20020628

-0.070243

0.001389

20020731

-0.081137

0.001417

20020830

0.007984

0.00138

20020930

-0.099975

0.001308

20021031

0.074958

0.001183

20021129

0.061276

0.001014

20021231

-0.053309

0.000947

20030131

-0.02343

0.000955

20030228

-0.015408

0.000996

20030331

0.010333

0.000951

20030430

0.082797

0.000911

20030530

0.063507

0.000934

20030630

0.016332

0.000662

20030731

0.02313

0.000733

20030829

0.024908

0.000809

20030930

-0.009102

0.00071

20031031

0.060331

0.000763

20031128

0.016607

0.00075

20031231

0.045532

0.000689

20040130

0.023064

0.000689

20040227

0.015467

0.000778

20040331

-0.010685

0.000769

20040430

-0.02423

0.000674

20040528

0.014127

0.000757

20040630

0.021563

0.000941

20040730

-0.037681

0.001065

20040831

0.002714

0.001201

20040930

0.020555

0.001215

20041029

0.01781

0.001457

20041130

0.048243

0.001693

20041231

0.03518

0.00159

20050131

-0.026557

0.001802

20050228

0.022695

0.002081

20050331

-0.016937

0.002166

20050429

-0.025182

0.002259

20050531

0.037916

0.002293

20050630

0.011531

0.002488

20050729

0.043331

0.002691

20050831

-0.005943

0.002784

20050930

0.010609

0.002655

20051031

-0.020784

0.00308

20051130

0.040406

0.003309

20051230

0.003476

0.003288

20060131

0.040112

0.003606

20060228

-0.001644

0.003687

20060331

0.01906

0.003828

20060428

0.012968

0.003844

20060531

-0.031042

0.003913

20060630

-0.000396

0.003903

20060731

-0.001902

0.0042

20060831

0.025085

0.004138

20060929

0.019452

0.003874

20061031

0.037086

0.004293

20061130

0.023716

0.00415

20061229

0.010823

0.003973

20070131

0.019438

0.004168

20070228

-0.013998

0.004286

20070330

0.012949

0.004209

20070430

0.039893

0.003963

20070531

0.038894

0.003913

20070629

-0.014758

0.003776

20070731

-0.031753

0.004254

20070831

0.011623

0.00346

20070928

0.040903

0.002869

20071031

0.025842

0.003318

20071130

-0.049279

0.002683

20071231

-0.004342

0.002382

20080131

-0.062305

0.001387

20080229

-0.02204

0.001725

20080331

-0.01047

0.001032

20080430

0.051144

0.001048

20080530

0.023825

0.001623

20080630

-0.078625

0.001412

20080731

-0.01315

0.001319

20080829

0.011042

0.001387

20080930

-0.09806

0.000803

20081031

-0.184726

0.000212

20081128

-0.085206

0.000025

20081231

0.021482

0.000025

Reference no: EM131133277

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