Arbitrage Pricing Theory

Автор работы: Пользователь скрыл имя, 06 Ноября 2017 в 21:13, реферат

Описание работы

In this report, we discover APT as a model used to provide pricing strategy for stocks in the best possible way by taking into consideration multiple risks that are associated along with the stocks. From the research carried out, it has been found out that there are several macroeconomic and financial factors that influence stock returns. They are: global, political, cyclical, systemic, synergistic and industry factors, and also the investment characteristics of the issuer's position in the region. However, some of these variables can affect the stock return more than others.

Содержание работы

Executive Summary…………………………………………………………………………….…..………p3
Arbitrage Pricing Theory/Introduction…………………………………………………………….p4
Macroeconomic and Financial Factors affecting the stock price……………………………………………………………………………………………………………….p5-6
Constructing the basic regression model and the assessment of its quality……..…………………………………………………………………………………………………..p7-14
Appendix………………………………………………………………………………………………………p15-21
Group Meeting Minutes………………………………………………………………….……………p22-24
References……………………………………………………………………………………………………p25-26

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Stepwise Regression: Table 4 

         

Dependent Variable: ERAGL

   

Method: Stepwise Regression

   

Date: 02/03/17   Time: 17:44

   

Sample (adjusted): 1987M03 2012M12

 

Included observations: 310 after adjustments

 

Number of always included regressors: 1

 

Number of search regressors: 7

 

Selection method: Stepwise forwards

 

Stopping criterion: p-value forwards/backwards = 0.2/0.2

         
         

Variable

Coefficient

Std. Error

t-Statistic

Prob.*  

         
         

C

-0.926355

0.715476

-1.294739

0.1964

ERSANDP

1.302188

0.157402

8.273010

0.0000

RTERM

5.401141

2.831587

1.907460

0.0574

DINFLATION

3.257099

2.132055

1.527681

0.1276

         
         

R-squared

0.191599

Mean dependent var

-0.626839

Adjusted R-squared

0.183673

S.D. dependent var

13.92396

S.E. of regression

12.58041

Akaike info criterion

7.914978

Sum squared resid

48429.59

Schwarz criterion

7.963191

Log likelihood

-1222.822

Hannan-Quinn criter.

7.934251

F-statistic

24.17498

Durbin-Watson stat

2.183996

Prob(F-statistic)

0.000000

     
         
         
 

Selection Summary

   
         
         

Added ERSANDP

     

Added RTERM

     

Added DINFLATION

   
         
         

*Note: p-values and subsequent tests do not account for stepwise

selection.

   

 

         
         



 

 

 

 

 

Examination for heteroskedasticity using the White test: Table 5

 

Heteroskedasticity Test: White

 
         
         

F-statistic

0.272928

Prob. F(7,302)

0.9641

Obs*R-squared

1.948778

Prob. Chi-Square(7)

0.9626

Scaled explained SS

12.05020

Prob. Chi-Square(7)

0.0989

         
         
         

Test Equation:

     

Dependent Variable: RESID^2

   

Method: Least Squares

   

Date: 02/06/17   Time: 17:29

   

Sample: 1987M03 2012M12

   

Included observations: 310

   
         
         

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

         
         

C

192.9651

43.81406

4.404183

0.0000

ERSANDP^2

-0.259216

0.720501

-0.359772

0.7193

DPROD^2

-12.49679

39.06426

-0.319903

0.7493

DCREDIT^2

-1.26E-08

4.97E-08

-0.253511

0.8000

DINFLATION^2

-67.65844

152.9501

-0.442356

0.6585

DMONEY^2

-0.014136

0.034199

-0.413345

0.6796

DSPREAD^2

46.67869

800.4559

0.058315

0.9535

RTERM^2

-242.1618

370.8336

-0.653020

0.5142

         
         

R-squared

0.006286

Mean dependent var

154.8460

Adjusted R-squared

-0.016747

S.D. dependent var

559.8700

S.E. of regression

564.5386

Akaike info criterion

15.53536

Sum squared resid

96248547

Schwarz criterion

15.63179

Log likelihood

-2399.981

Hannan-Quinn criter.

15.57391

F-statistic

0.272928

Durbin-Watson stat

2.021661

Prob(F-statistic)

0.964125

     
         
         

 

 

 

 

 

Tests before the crisis: Table 6

2003 -2006

Dependent Variable: ERAGL

   

Method: Least Squares

   

Date: 02/03/17   Time: 18:19

   

Sample: 2003M01 2006M12

   

Included observations: 48

   
         
         

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

         
         

C

-0.588760

3.050014

-0.193035

0.8479

ERSANDP

1.181057

0.735526

1.605731

0.1162

DPROD

1.171447

3.899273

0.300427

0.7654

DCREDIT

-0.000217

0.000336

-0.646337

0.5218

DINFLATION

-1.650670

3.997740

-0.412901

0.6819

DMONEY

-0.025413

0.114154

-0.222621

0.8250

DSPREAD

50.67126

40.50672

1.250935

0.2182

RTERM

-1.510410

7.200336

-0.209769

0.8349

         
         

R-squared

0.143899

Mean dependent var

-1.338386

Adjusted R-squared

-0.005918

S.D. dependent var

11.13906

S.E. of regression

11.17197

Akaike info criterion

7.815705

Sum squared resid

4992.517

Schwarz criterion

8.127572

Log likelihood

-179.5769

Hannan-Quinn criter.

7.933560

F-statistic

0.960498

Durbin-Watson stat

2.163206

Prob(F-statistic)

0.472643

     
         
         

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Tests after the crisis: Table 7

2009 -2012

 

Dependent Variable: ERAGL

   

Method: Least Squares

   

Date: 02/03/17   Time: 18:21

   

Sample: 2009M01 2012M12

   

Included observations: 48

   
         
         

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

         
         

C

-1.143859

1.002364

-1.141162

0.2606

ERSANDP

1.039035

0.149106

6.968442

0.0000

DPROD

-0.563021

1.374681

-0.409565

0.6843

DCREDIT

1.05E-05

4.30E-05

0.243558

0.8088

DINFLATION

2.252484

2.012570

1.119208

0.2697

DMONEY

0.030484

0.026929

1.132018

0.2644

DSPREAD

-6.580861

6.258220

-1.051555

0.2993

RTERM

-1.418039

3.547284

-0.399753

0.6915

         
         

R-squared

0.579774

Mean dependent var

0.653542

Adjusted R-squared

0.506235

S.D. dependent var

7.086603

S.E. of regression

4.979644

Akaike info criterion

6.199606

Sum squared resid

991.8741

Schwarz criterion

6.511472

Log likelihood

-140.7905

Hannan-Quinn criter.

6.317461

F-statistic

7.883852

Durbin-Watson stat

1.986259

Prob(F-statistic)

0.000005

     
         
         

 

 

 

 

 

 

Group Meeting Minutes


Meeting One Minutes: 25/01/2017: 180 minutes

Point discussed:

Discussing the brief and what is required. Talking about individual strengths and who is more qualified to do each part.

Research of APT

Members present: All

Division of work load:

p13232959– research APT, initial format of report

P16211847 and p13232959– macro variables and editing respectively

P16211847 – e views

p14020881 – Limitations and benefits of each test

p14024789 – discussion

 

Meeting Two Minutes: 08/02/2017: 180 minutes

Point discussed:

Check progress of report. Part a and b completed.

Start research on E Views

Members present: All

Division of work load:

p13232959– link apt to macro factors and make comparisons to CAPM model

P16211847 – e views

p14020881 – Limitations and benefits of each test

p14024789 – discussion of results

 

Meeting Three Minutes: 15/02/2017: 60 minutes

Point discussed:

Check progress of report. Part a and b and c completed.

Look into results obtained and link to APT

Members present: All

Division of work load:

p13232959 – Executive summary

P16211847 – e views

p14020881 – Limitations and benefits of each test

p14024789 – discussion of results

 

Meeting Four Minutes: 22/02/2017: 120 minutes

Point discussed:

Report concluded, check through and edit.

Members present: All

Division of work load:

p13232959– edit and format report to be concise with brief and make appendix

P16211847 – e views, regression analysis alteration

p14020881– Limitations and benefits of each test

p14024789 – discussion of results and interpretation

 

 


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

References


Anthoney E. Boardman and Claude Laurin (2000).  Factors affecting the stock price performance of share issued privatizations, Applied Economics  32, 1451-1464.

Box, G. E. P., and Jenkins, G. (1976), Time Series Analysis: Forecasting and Control, Holden-Day.

Brooks, C. (2008). Introductory econometrics for finance. 1st ed. Cambridge [England]: Cambridge University Press.

Factors Affecting Stock Prices in the UAE Financial Markets, Journal of Transnational Management, 16:1–18.

Harter, H.L. (1983) "Least Squares," Encyclopedia of Statistical Sciences, Kotz, S. and Johnson, N.L., eds., John Wiley & Sons, New York, pp. 593-598.

Hilmer, C. and Hilmer, M. (n.d.). Practical econometrics. 1st ed. pp.147-181, 255-282.

Hussein A. Hassan Al-Tamimi, Ali Abdulla Alwan, and A. A. Abdel Rahman (2011).

Molodovsky, Nicholas (1995). A theory of price-earnings ratios. Financial Analysts Journal, 51(1), 29–43.

Salkind, N. and Rasmussen, K. (2007). Encyclopedia of measurement and statistics. 1st ed. Thousand Oaks, Calif.: SAGE Publications.

Statistics Solutions. (2017). Autocorrelation - Statistics Solutions. [online] Available at: http://www.statisticssolutions.com/autocorrelation/ [Accessed 7 Feb. 2017].

Statistics How To. (2017). Durbin Watson Test & Test Statistic. [online] Available at: http://www.statisticshowto.com/durbin-watson-test-coefficient/ [Accessed 9 Feb. 2017].

Statistics Solutions. (2017). Multicollinearity - Statistics Solutions. [online] Available at: http://www.statisticssolutions.com/multicollinearity/ [Accessed 7 Feb. 2017].

Wooldridge, J. (2011). Introductory econometrics. 5th ed. [Place of publication not identified]: South-Western.

Zhao, Xing-Qiu (1999). Stock prices, inflation and output: Evidence from China. Applied Economics Letters, 6(8), 509–511.

 

 

 


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