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PORTFOLIO ANALYSIS:
Asmik Akhverdyan
Ruzanna Ayvazyan
Davit Matevosyan
Mariam Petrosyan
Marina Sedrakyan 1
Dow jones IT and Banking componentsDow jones IT and Banking components
Prof. Grigoryan
2
3
4
Risk represents
uncertainty of a return and
the potential for financial
loss.
Measures of risk:
•Range
•Mean absolute deviation
•Variance (standard deviation)
•Coefficient of variation
Return on an investment
is the financial outcome
for the investor.
An investment’s distribution
of returns follows a normal
distribution
5
6
Assets with higher return are always riskier
7
• Diversifiable Risk versus Market Risk
/Systematic and Unsystematic Risks/
• Market Risk: Beta Risk
• Other Risks
8
Beginning with one stock and adding
randomly selected stocks to portfolio
• Diversifiable risk decreases as stocks added,
because they would not be perfectly
correlated with the existing portfolio.
• Expected return of the portfolio would remain
relatively constant.
• Eventually the diversification benefits of
adding more stocks dissipates (after about
10 stocks)
9
10
Stand-alone risk = Market risk +
Diversifiable risk
• Market risk – portion of a stock’s stand-
alone risk that cannot be eliminated
through diversification. Measured by
beta.
• Diversifiable risk – portion of a stock’s
stand-alone risk that can be eliminated
through proper diversification.
# Stocks in Portfolio
10 20 30 40 2,000+
Diversifiable Risk
Market Risk
20
0
Stand-Alone Risk, σp
σp (%)
35
Diversification effects of a stock portfolio
11
Other Risks
• Different currency denominations
• Political risk
• Economic and legal ramifications
• Role of governments
• Language and cultural differences
12
13
14
• Why do investors prefer portfolios?
• What is a feasible portfolio?
• What is an optimal portfolio?
15
16
• Second oldest stock index
• Price-weighted average
• Includes 30 components
• The components are selected by the WSJ
17
18
Regression Statistics for IT
Multiple R 0,79184
R Square 0,627011
Adjusted R Square 0,623991
Standard Error 0,004165
Observations 251
Regression Statistics for Banking
Multiple R 0,392918115
R Square 0,154384645
Adjusted R Square 0,147565166
Standard Error 0,00616765
Observations 251
Regression Statistics for HP
Multiple R 0,288077233
R Square 0,082988492
Adjusted R Square 0,075563298
Standard Error 0,006530247
Observations 251
DJ=0,0027-0,003*i-0,001WRDJ=-0,566+0,129*i +0,665*WR
DJ=-0,3287+0,085*i+0,161*HR
19
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 0,0027154 0,0019136 1,419025013 0,1571473 -0,0010535 0,0064845
i -0,0031343 0,0004778 -6,55884033 3,13175E-10 -0,004076 -0,002193
WR -0,0010849 0,0012583 0,862237592 0,03893898 -0,0035632 0,0139335
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -0,5658546 0,130166769 -4,3471511 2,02E-05 -0,822233 -0,30948
i 0,1290238 0,08489222 1,51985399 0,129827 -0,038182 0,296229
WR 0,6648816 0,032822503 2,25688175 2,03E-54 0,600234 0,729529
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept -0,3287197 0,203257181 -1,61726 0,107099 -0,7290581 0,071618637
i 0,0847991 0,018788707 4,513298 9,88E-06 0,0047792 0,0121805
HR 0,161222659 0,133158229 1,21076 0,022714 -0,0101048 0,0423497
20
21
22
23
Root Mean Squared Error 0.4
Theil Inequality Coefficient 0.32
2
m
im
i
σ
σβ =
- co-variation of stock and market
- coefficient of dispersion of market return
> 1, stock is more risky
< 1, less sensitive to market changes
= 1, the same risk level as the market
imσ
β
β
2
mσ
β
Measure of the risk contribution of an individual
security to a well-diversified portfolio.
24
Markowitz’s Portfolio theory
Sharp, Treynor…
R=Rf + β*(RM-Rf)
RM= Rf + Risk premium
R is the expected return on
security,
Rf is the risk free rate
β is beta of the security
25
WR=0.009*RP
26
R-Squared 62.3%
Coefficient β 0.009
P-value (Sig. t) 0.0000 < 0.05
P-value
Weighted
banking=0.004*RP
27
R-Squared 14.9%
Coefficient β 0.004
P-value (Sig. t) 0.0000 < 0.05
P-value
28
29P-values for all the regressions were < 0.05 which means
H0 is rejected and Ha is accepted.
30
Sharp Ratio Treynor Ratio
IT Banking
Sharp 0.58 0.21
Treynor 51 43
𝑇𝑟𝑒𝑦𝑛𝑜𝑟 𝑖𝑛𝑑𝑒� =
(�� − �)
�
�ℎ𝑎𝑟� 𝑖𝑛𝑑𝑒� =
(�� − �)
𝑠�. 𝑑𝑒�
31

32

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Portfolio anaysis: CAPM, Dow Jones

  • 1. PORTFOLIO ANALYSIS: Asmik Akhverdyan Ruzanna Ayvazyan Davit Matevosyan Mariam Petrosyan Marina Sedrakyan 1 Dow jones IT and Banking componentsDow jones IT and Banking components Prof. Grigoryan
  • 2. 2
  • 3. 3
  • 4. 4
  • 5. Risk represents uncertainty of a return and the potential for financial loss. Measures of risk: •Range •Mean absolute deviation •Variance (standard deviation) •Coefficient of variation Return on an investment is the financial outcome for the investor. An investment’s distribution of returns follows a normal distribution 5
  • 6. 6 Assets with higher return are always riskier
  • 7. 7
  • 8. • Diversifiable Risk versus Market Risk /Systematic and Unsystematic Risks/ • Market Risk: Beta Risk • Other Risks 8
  • 9. Beginning with one stock and adding randomly selected stocks to portfolio • Diversifiable risk decreases as stocks added, because they would not be perfectly correlated with the existing portfolio. • Expected return of the portfolio would remain relatively constant. • Eventually the diversification benefits of adding more stocks dissipates (after about 10 stocks) 9
  • 10. 10 Stand-alone risk = Market risk + Diversifiable risk • Market risk – portion of a stock’s stand- alone risk that cannot be eliminated through diversification. Measured by beta. • Diversifiable risk – portion of a stock’s stand-alone risk that can be eliminated through proper diversification.
  • 11. # Stocks in Portfolio 10 20 30 40 2,000+ Diversifiable Risk Market Risk 20 0 Stand-Alone Risk, σp σp (%) 35 Diversification effects of a stock portfolio 11
  • 12. Other Risks • Different currency denominations • Political risk • Economic and legal ramifications • Role of governments • Language and cultural differences 12
  • 13. 13
  • 14. 14 • Why do investors prefer portfolios? • What is a feasible portfolio? • What is an optimal portfolio?
  • 15. 15
  • 16. 16 • Second oldest stock index • Price-weighted average • Includes 30 components • The components are selected by the WSJ
  • 17. 17
  • 18. 18 Regression Statistics for IT Multiple R 0,79184 R Square 0,627011 Adjusted R Square 0,623991 Standard Error 0,004165 Observations 251 Regression Statistics for Banking Multiple R 0,392918115 R Square 0,154384645 Adjusted R Square 0,147565166 Standard Error 0,00616765 Observations 251 Regression Statistics for HP Multiple R 0,288077233 R Square 0,082988492 Adjusted R Square 0,075563298 Standard Error 0,006530247 Observations 251 DJ=0,0027-0,003*i-0,001WRDJ=-0,566+0,129*i +0,665*WR DJ=-0,3287+0,085*i+0,161*HR
  • 19. 19 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 0,0027154 0,0019136 1,419025013 0,1571473 -0,0010535 0,0064845 i -0,0031343 0,0004778 -6,55884033 3,13175E-10 -0,004076 -0,002193 WR -0,0010849 0,0012583 0,862237592 0,03893898 -0,0035632 0,0139335 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept -0,5658546 0,130166769 -4,3471511 2,02E-05 -0,822233 -0,30948 i 0,1290238 0,08489222 1,51985399 0,129827 -0,038182 0,296229 WR 0,6648816 0,032822503 2,25688175 2,03E-54 0,600234 0,729529 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept -0,3287197 0,203257181 -1,61726 0,107099 -0,7290581 0,071618637 i 0,0847991 0,018788707 4,513298 9,88E-06 0,0047792 0,0121805 HR 0,161222659 0,133158229 1,21076 0,022714 -0,0101048 0,0423497
  • 20. 20
  • 21. 21
  • 22. 22
  • 23. 23 Root Mean Squared Error 0.4 Theil Inequality Coefficient 0.32
  • 24. 2 m im i σ σβ = - co-variation of stock and market - coefficient of dispersion of market return > 1, stock is more risky < 1, less sensitive to market changes = 1, the same risk level as the market imσ β β 2 mσ β Measure of the risk contribution of an individual security to a well-diversified portfolio. 24
  • 25. Markowitz’s Portfolio theory Sharp, Treynor… R=Rf + β*(RM-Rf) RM= Rf + Risk premium R is the expected return on security, Rf is the risk free rate β is beta of the security 25
  • 26. WR=0.009*RP 26 R-Squared 62.3% Coefficient β 0.009 P-value (Sig. t) 0.0000 < 0.05 P-value
  • 27. Weighted banking=0.004*RP 27 R-Squared 14.9% Coefficient β 0.004 P-value (Sig. t) 0.0000 < 0.05 P-value
  • 28. 28
  • 29. 29P-values for all the regressions were < 0.05 which means H0 is rejected and Ha is accepted.
  • 30. 30 Sharp Ratio Treynor Ratio IT Banking Sharp 0.58 0.21 Treynor 51 43 𝑇𝑟𝑒𝑦𝑛𝑜𝑟 𝑖𝑛𝑑𝑒� = (�� − �) � �ℎ𝑎𝑟� 𝑖𝑛𝑑𝑒� = (�� − �) 𝑠�. 𝑑𝑒�
  • 32. 32