SlideShare a Scribd company logo
Portfolio Evaluation
• Outline
• Investment return measurement
• conventional measurement theory
• Evaluation with changing portfolio composition
• Evaluation with market timing
• Performance attribution procedures and
evaluation
Measuring Returns
• Dollar-weighted return is the internal rate of
return. It is a return equal across a multiperiod.
• Time-weighted return is the arithmetic average
of each one- period return
• Time-weighted return is important for money
managers. Because they cannot control cash
inflow and outflow for each period, return per
period measure is more relevant.
Arithmetic Average is simply the average of returns
over several periods.
Geometric return average is the return over several
periods is computed as:
(1+rG)=[(1+r1)(1+r2)...(1+rn)]1/n
For past returns performance evaluation, the
geometric return is a better measure than arithmetic
average. For estimating the expected future return,
using historic average, arithmetric average is a better
as it is an unbiased estimator.
Conventional Approaches to
Performance Evaluation
• Sharpe measure: (rp-rf)/sp is the excess return per
unit risk of standard deviation
• Treynor measure: (rp-rf)/bp is the excess return per
unit systematic risk.
• Jensen measure: abnormal return
ap =rp - [rf+bp(rm-rf)]
• Appraisal ratio: ap/s(ep), which is the alpha
(abnormal return) divided by the nonsystematic risk.
Evaluations among Different
Measures
. P
. Q
SML
Excess Return
Beta
Market
1.0
Treynor lines
Treynor measure assumes
(1) the portfolio is well-diversified and
(2) accurate estimates.
Illustration:
according to security characteristic line
(SCL), a=0.2%, b=1.2,s(e)=2%.
The standard error for the “a” is roughly
equal to s(a)=s(e)/N1/2
which means for 5% significance, we have the
following:
t = 1.96 = (a-0)/s(a) = 0.2N0.5
/2
N = 384 months
(too long to be reliable!)
In practice, the portfolio management industry
uses a benchment for performance
measurement. In academics, other
measurements include stochastic dominance
method.
Frequency
g(y) f(x)
Return
G(y) F(x)
1
Changing Portfolio Composition
Quarter
-1
3
27
-9
Mean return (first 4 quarters)
=(-1+3-1+3)/4=1%
sd =[ (4%+...+4%)/4]0.5
=2%
% excess return
Mean of the last 4 quarters:
= (-9+27-9+27)/4=9%
Sd =[(18%x18%+...]/4]0.5
=18%
The two years have a Sharpe Measure of 0.5 but the
distribution of the return is different.
Combination of the two years would yield a mean
excess return is 5% and its sd is:
[(6%)2
+...+(22%)2
/8]0.5
=13.42%
The Sharpe index = 5%/13.42%=0.37
(inferior to 0.4 which is the passive strategy and 0.5
individual year)
Portfolio mean shift will bias the evaluation
performance
Market Timing and slope shift of
beta
• If the proportion between risky asset and riskfree
asset is constant, the beta of the entire portfolio
remains the same over time as shown below:
rm-rf
rp-rf
slope=0.6
If the portfolio manager shifts funds
from the riskfree assets to the risky asset
in anticipation of the rise in market
return, then we will observe:
rp-rf
rm-rf
Slope of the beta rises
That is, there is a regime shift in the regression
analysis. To capture the regime shift, we can
formulate the several regression models as:
(1) rp-rf=a+b(rm-rf)+c(rm-rf)2
+ep
Hypothesis: c>0
(2) rp-rf=a+b(rm-rf)+c(rm-rf)D+ep
where D is a (0,1) dummy - 1 when
rm> rf 0 elsewhere.
Empirical results show no market
timing evidence, i.e., we cannot reject
c=0 in both regressions
Performance Attribution
• Portfolio managers constantly make broad-
brush asset market allocation and sector and
security allocation within markets
• Performance is measured in terms of
managed portfolio performance and the
benchmark portfolio
Benchmark Performance and Excess Return
• Component Benchmark Return
Weight
S&P500 0.6 5.81%
Bond Index 0.3 1.45
Money Mkt 0.1 0.48
• Benchmark return
=0.6x5.81%+0.3x1.45%+0.1x0.48%
=3.97%
• Managed portfolio excess return
=actual return - benchmark
=5.34%-3.97%
=1.37%
Asset Allocation Decisions
The performance of the managed fund is due to
different proportion of funds allocated as shown:
MKT Equity Fixed Inc. TB
Actual wt 0.7 0.07 0.23
Benchmark 0.6 0.30 0.10
Excess wt. 0.1 -0.23 0.13 (a)
Mkt excess
return 1.84 -2.52 -3.49 (b)
(5.81-3.97) (1.45-3.97) (0.48-3.97)
Contribution 0.184 0.5796 -0.4537
(a x b=)
Total contribution =0.1840+0.5796-0.4537=0.3099
Sector and Security Selection
This analysis captures the super results
of the portfolio due to their greater
performance:
Mkt Equity Fixed Income
Return 7.28% 1.89%
Index 5.81 1.45
Excess ret 1.47 0.44 (a)
Port. wt. 0.7 0.07 (b)
Contribution 1.03 0.03
(a x b)
Total contribution=1.03+0.03=1.06
Portfolio Attribution Summary:
Asset allocation 0.31%
Sector/security selection 1.06
Total excess return 1.37

More Related Content

PPT
Chapter_018.ppt
PPT
Perfmeasure.ppt
PPTX
PORTFOLIO PERFORMANCE EVALUATION
PPT
Cycle 6 PM Session 4.ppt
PPT
Cycle 6 PM Session 4.ppt
PPTX
Equlibrium, mutual funds and sharpe ratio
PDF
Portfolio Risk & Return Part 2.pdf
PPTX
FIN330 Chapter 22.pptx
Chapter_018.ppt
Perfmeasure.ppt
PORTFOLIO PERFORMANCE EVALUATION
Cycle 6 PM Session 4.ppt
Cycle 6 PM Session 4.ppt
Equlibrium, mutual funds and sharpe ratio
Portfolio Risk & Return Part 2.pdf
FIN330 Chapter 22.pptx

Similar to EVALUATION OF PORTFOLIO OUTLINES, PRACTICES (20)

PPTX
Chapter (24).
PDF
Security-Analysis-and-Portfolo-Management-Unit-5-Dr-Asma-Khan.pdf
PPT
Portfolio evaluation
PPT
Investments: Analysis and Behavior of Asset Pricing
PPTX
Portfolio selection using sharpe , treynor & jensen performance Index
DOCX
PROBLEMS IN SELECTION OF SECURITY PORTFOLIOS THE PERFORMAN
DOCX
Portfolio Evaluation - Atul Maheshwari
PPTX
Security analysis
PPTX
TO STUDY THE OPTIMIZATION OF PORTFOLIO RISK AND RETURN
PPTX
MBA 8480 - Portfolio Theory and Asset Pricing
PPTX
capital asset pricing model
PPTX
PPT
Portfolio const & evaluation
PPTX
Corporate Finance
PPT
Risk adjusted performance
PPTX
Security Analysis and Portfolio Management (SAPM)- Portfolio Evaluation under...
PPT
Risk adjusted performance
DOCX
Ch 75.For all values of r1,2 E(Rport) = (.6 x .10) + (.4 .docx
PPTX
Unit 5 portfolio Management
PDF
3.Risk & Rates of Return.pdf
Chapter (24).
Security-Analysis-and-Portfolo-Management-Unit-5-Dr-Asma-Khan.pdf
Portfolio evaluation
Investments: Analysis and Behavior of Asset Pricing
Portfolio selection using sharpe , treynor & jensen performance Index
PROBLEMS IN SELECTION OF SECURITY PORTFOLIOS THE PERFORMAN
Portfolio Evaluation - Atul Maheshwari
Security analysis
TO STUDY THE OPTIMIZATION OF PORTFOLIO RISK AND RETURN
MBA 8480 - Portfolio Theory and Asset Pricing
capital asset pricing model
Portfolio const & evaluation
Corporate Finance
Risk adjusted performance
Security Analysis and Portfolio Management (SAPM)- Portfolio Evaluation under...
Risk adjusted performance
Ch 75.For all values of r1,2 E(Rport) = (.6 x .10) + (.4 .docx
Unit 5 portfolio Management
3.Risk & Rates of Return.pdf
Ad

Recently uploaded (20)

PDF
Building a Smart Pet Ecosystem: A Full Introduction to Zhejiang Beijing Techn...
PDF
ANALYZING THE OPPORTUNITIES OF DIGITAL MARKETING IN BANGLADESH TO PROVIDE AN ...
PPTX
2025 Product Deck V1.0.pptxCATALOGTCLCIA
PPT
Lecture 3344;;,,(,(((((((((((((((((((((((
PDF
Introduction to Generative Engine Optimization (GEO)
PPTX
Sales & Distribution Management , LOGISTICS, Distribution, Sales Managers
PDF
How to Get Approval for Business Funding
PPTX
Principles of Marketing, Industrial, Consumers,
PDF
How to Get Funding for Your Trucking Business
PDF
NEW - FEES STRUCTURES (01-july-2024).pdf
PDF
Family Law: The Role of Communication in Mediation (www.kiu.ac.ug)
PDF
Solara Labs: Empowering Health through Innovative Nutraceutical Solutions
PDF
TyAnn Osborn: A Visionary Leader Shaping Corporate Workforce Dynamics
PPTX
Negotiation and Persuasion Skills: A Shrewd Person's Perspective
PDF
NISM Series V-A MFD Workbook v December 2024.khhhjtgvwevoypdnew one must use ...
PPTX
svnfcksanfskjcsnvvjknsnvsdscnsncxasxa saccacxsax
PDF
Solaris Resources Presentation - Corporate August 2025.pdf
PDF
How to Get Business Funding for Small Business Fast
PDF
Tata consultancy services case study shri Sharda college, basrur
PDF
Module 2 - Modern Supervison Challenges - Student Resource.pdf
Building a Smart Pet Ecosystem: A Full Introduction to Zhejiang Beijing Techn...
ANALYZING THE OPPORTUNITIES OF DIGITAL MARKETING IN BANGLADESH TO PROVIDE AN ...
2025 Product Deck V1.0.pptxCATALOGTCLCIA
Lecture 3344;;,,(,(((((((((((((((((((((((
Introduction to Generative Engine Optimization (GEO)
Sales & Distribution Management , LOGISTICS, Distribution, Sales Managers
How to Get Approval for Business Funding
Principles of Marketing, Industrial, Consumers,
How to Get Funding for Your Trucking Business
NEW - FEES STRUCTURES (01-july-2024).pdf
Family Law: The Role of Communication in Mediation (www.kiu.ac.ug)
Solara Labs: Empowering Health through Innovative Nutraceutical Solutions
TyAnn Osborn: A Visionary Leader Shaping Corporate Workforce Dynamics
Negotiation and Persuasion Skills: A Shrewd Person's Perspective
NISM Series V-A MFD Workbook v December 2024.khhhjtgvwevoypdnew one must use ...
svnfcksanfskjcsnvvjknsnvsdscnsncxasxa saccacxsax
Solaris Resources Presentation - Corporate August 2025.pdf
How to Get Business Funding for Small Business Fast
Tata consultancy services case study shri Sharda college, basrur
Module 2 - Modern Supervison Challenges - Student Resource.pdf
Ad

EVALUATION OF PORTFOLIO OUTLINES, PRACTICES

  • 1. Portfolio Evaluation • Outline • Investment return measurement • conventional measurement theory • Evaluation with changing portfolio composition • Evaluation with market timing • Performance attribution procedures and evaluation
  • 2. Measuring Returns • Dollar-weighted return is the internal rate of return. It is a return equal across a multiperiod. • Time-weighted return is the arithmetic average of each one- period return • Time-weighted return is important for money managers. Because they cannot control cash inflow and outflow for each period, return per period measure is more relevant.
  • 3. Arithmetic Average is simply the average of returns over several periods. Geometric return average is the return over several periods is computed as: (1+rG)=[(1+r1)(1+r2)...(1+rn)]1/n For past returns performance evaluation, the geometric return is a better measure than arithmetic average. For estimating the expected future return, using historic average, arithmetric average is a better as it is an unbiased estimator.
  • 4. Conventional Approaches to Performance Evaluation • Sharpe measure: (rp-rf)/sp is the excess return per unit risk of standard deviation • Treynor measure: (rp-rf)/bp is the excess return per unit systematic risk. • Jensen measure: abnormal return ap =rp - [rf+bp(rm-rf)] • Appraisal ratio: ap/s(ep), which is the alpha (abnormal return) divided by the nonsystematic risk.
  • 5. Evaluations among Different Measures . P . Q SML Excess Return Beta Market 1.0 Treynor lines
  • 6. Treynor measure assumes (1) the portfolio is well-diversified and (2) accurate estimates. Illustration: according to security characteristic line (SCL), a=0.2%, b=1.2,s(e)=2%. The standard error for the “a” is roughly equal to s(a)=s(e)/N1/2 which means for 5% significance, we have the following: t = 1.96 = (a-0)/s(a) = 0.2N0.5 /2 N = 384 months (too long to be reliable!)
  • 7. In practice, the portfolio management industry uses a benchment for performance measurement. In academics, other measurements include stochastic dominance method. Frequency g(y) f(x) Return G(y) F(x) 1
  • 8. Changing Portfolio Composition Quarter -1 3 27 -9 Mean return (first 4 quarters) =(-1+3-1+3)/4=1% sd =[ (4%+...+4%)/4]0.5 =2% % excess return
  • 9. Mean of the last 4 quarters: = (-9+27-9+27)/4=9% Sd =[(18%x18%+...]/4]0.5 =18% The two years have a Sharpe Measure of 0.5 but the distribution of the return is different. Combination of the two years would yield a mean excess return is 5% and its sd is: [(6%)2 +...+(22%)2 /8]0.5 =13.42% The Sharpe index = 5%/13.42%=0.37 (inferior to 0.4 which is the passive strategy and 0.5 individual year) Portfolio mean shift will bias the evaluation performance
  • 10. Market Timing and slope shift of beta • If the proportion between risky asset and riskfree asset is constant, the beta of the entire portfolio remains the same over time as shown below: rm-rf rp-rf slope=0.6
  • 11. If the portfolio manager shifts funds from the riskfree assets to the risky asset in anticipation of the rise in market return, then we will observe: rp-rf rm-rf Slope of the beta rises
  • 12. That is, there is a regime shift in the regression analysis. To capture the regime shift, we can formulate the several regression models as: (1) rp-rf=a+b(rm-rf)+c(rm-rf)2 +ep Hypothesis: c>0 (2) rp-rf=a+b(rm-rf)+c(rm-rf)D+ep where D is a (0,1) dummy - 1 when rm> rf 0 elsewhere. Empirical results show no market timing evidence, i.e., we cannot reject c=0 in both regressions
  • 13. Performance Attribution • Portfolio managers constantly make broad- brush asset market allocation and sector and security allocation within markets • Performance is measured in terms of managed portfolio performance and the benchmark portfolio
  • 14. Benchmark Performance and Excess Return • Component Benchmark Return Weight S&P500 0.6 5.81% Bond Index 0.3 1.45 Money Mkt 0.1 0.48 • Benchmark return =0.6x5.81%+0.3x1.45%+0.1x0.48% =3.97% • Managed portfolio excess return =actual return - benchmark =5.34%-3.97% =1.37%
  • 15. Asset Allocation Decisions The performance of the managed fund is due to different proportion of funds allocated as shown: MKT Equity Fixed Inc. TB Actual wt 0.7 0.07 0.23 Benchmark 0.6 0.30 0.10 Excess wt. 0.1 -0.23 0.13 (a) Mkt excess return 1.84 -2.52 -3.49 (b) (5.81-3.97) (1.45-3.97) (0.48-3.97) Contribution 0.184 0.5796 -0.4537 (a x b=) Total contribution =0.1840+0.5796-0.4537=0.3099
  • 16. Sector and Security Selection This analysis captures the super results of the portfolio due to their greater performance: Mkt Equity Fixed Income Return 7.28% 1.89% Index 5.81 1.45 Excess ret 1.47 0.44 (a) Port. wt. 0.7 0.07 (b) Contribution 1.03 0.03 (a x b) Total contribution=1.03+0.03=1.06
  • 17. Portfolio Attribution Summary: Asset allocation 0.31% Sector/security selection 1.06 Total excess return 1.37