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Chapter 7 Why Diversification Is a Good Idea
[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Carrying Your Eggs in More Than One Basket ,[object Object],[object Object],[object Object]
Investments in Your Own Ego ,[object Object],[object Object],[object Object],[object Object]
The Concept of  Risk Aversion Revisited ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Concept of Risk  Aversion Revisited (cont’d) ,[object Object],[object Object],[object Object]
Multiple Investment Objectives ,[object Object],[object Object],[object Object],[object Object]
Role of Uncorrelated Securities ,[object Object],[object Object],[object Object],[object Object]
Variance of A Linear Combination ,[object Object],[object Object]
Variance of A Linear Combination (cont’d) ,[object Object]
Variance of A Linear Combination (cont’d) ,[object Object],[object Object],Total Risk Risk from A Risk from B Interactive Risk
Variance of A Linear Combination (cont’d) ,[object Object],[object Object],[object Object]
Portfolio Programming  in A Nutshell ,[object Object],[object Object]
Portfolio Programming  in A Nutshell (cont’d) ,[object Object],[object Object],Stock A Stock B Stock C Expected return .20 .14 .10 Standard deviation .232 .136 .195
Portfolio Programming  in A Nutshell (cont’d) ,[object Object],[object Object],Stock A Stock B Stock C Stock A 1.000 Stock B 0.286 1.000 Stock C 0.132 -0.605 1.000
Portfolio Programming  in A Nutshell (cont’d) ,[object Object],[object Object],[object Object]
Portfolio Programming  in A Nutshell (cont’d) ,[object Object],[object Object],[object Object],[object Object]
Portfolio Programming  in A Nutshell (cont’d) ,[object Object],[object Object]
Portfolio Programming  in A Nutshell (cont’d) ,[object Object],[object Object]
Portfolio Programming  in A Nutshell (cont’d) ,[object Object],[object Object]
Concept of Dominance ,[object Object],[object Object]
Concept of Dominance (cont’d) ,[object Object],[object Object],[object Object]
Concept of Dominance (cont’d) ,[object Object],[object Object],Risk Expected Return B/C combination  dominates A/C
Harry Markowitz: Founder of Portfolio Theory ,[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object]
Terminology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Security Universe ,[object Object],[object Object],[object Object]
Efficient Frontier ,[object Object],[object Object]
Efficient Frontier (cont’d) Standard Deviation Expected Return 100% investment in security  with highest E(R) 100% investment in minimum  variance portfolio Points below the efficient  frontier are dominated No points plot above  the line All portfolios  on the line  are efficient
Efficient Frontier (cont’d) ,[object Object]
Efficient Frontier (cont’d) ,[object Object],[object Object],[object Object]
Efficient Frontier (cont’d) Standard Deviation Expected Return R f A B C
Efficient Frontier (cont’d) ,[object Object],[object Object],[object Object],[object Object]
Capital Market Line and the Market Portfolio ,[object Object],[object Object],[object Object],[object Object]
Capital Market Line and the Market Portfolio (cont’d) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Capital Market Line and the Market Portfolio (cont’d) ,[object Object],[object Object]
Capital Market Line and the Market Portfolio (cont’d) Standard Deviation Expected Return R f A B C
Security Market Line ,[object Object],[object Object],[object Object]
Security Market Line (cont’d) Beta Expected Return R f Market Portfolio 1.0 E(R)
Expansion of the SML to  Four Quadrants ,[object Object],[object Object],[object Object],[object Object]
Security Market Line (cont’d) Beta Expected Return Securities with Negative Expected Returns
Corner Portfolio ,[object Object],[object Object]
Quadratic Programming ,[object Object],[object Object],[object Object]
Markowitz Quadratic    Programming Problem
Lessons from  Evans and Archer ,[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object]
Results ,[object Object],[object Object],[object Object],[object Object],[object Object]
Definitions ,[object Object],[object Object],[object Object]
Definitions (cont’d) ,[object Object],[object Object],[object Object],[object Object]
General Results Number of Securities Portfolio Variance
Strength in Numbers ,[object Object],[object Object],[object Object]
Biggest Benefits Come First ,[object Object],[object Object],[object Object]
Superfluous Diversification ,[object Object],[object Object],[object Object]
Implications ,[object Object],[object Object],[object Object]
Implications (cont’d) ,[object Object],[object Object]
Words of Caution ,[object Object],[object Object],[object Object],[object Object]
Diversification and Beta ,[object Object],[object Object],[object Object],[object Object],[object Object]
Capital Asset Pricing Model ,[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Systematic and  Unsystematic Risk ,[object Object],[object Object],[object Object],[object Object]
Fundamental Risk/Return Relationship Revisited ,[object Object],[object Object],[object Object],[object Object],[object Object]
CAPM ,[object Object]
CAPM (cont’d) ,[object Object],[object Object],[object Object],[object Object]
CAPM (cont’d) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CAPM (cont’d) ,[object Object],[object Object],[object Object]
SML and CAPM ,[object Object],[object Object],[object Object]
Market Model Versus CAPM ,[object Object],[object Object],[object Object],[object Object]
Market Model  Versus CAPM (cont’d) ,[object Object]
Note on the  CAPM Assumptions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Stationarity of Beta ,[object Object],[object Object],[object Object],[object Object]
Equity Risk Premium ,[object Object],[object Object],[object Object]
Using A Scatter Diagram to Measure Beta ,[object Object],[object Object],[object Object],[object Object]
Correlation of Returns ,[object Object],[object Object],[object Object],[object Object]
Linear Regression and Beta ,[object Object],[object Object],[object Object],[object Object],[object Object]
Importance of Logarithms ,[object Object],[object Object],[object Object]
Statistical Significance ,[object Object],[object Object],[object Object]
Arbitrage Pricing Theory ,[object Object],[object Object],[object Object]
APT Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
APT Background (cont’d) ,[object Object],[object Object]
The APT Model ,[object Object]
Comparison of the  CAPM and the APT ,[object Object],[object Object],[object Object],[object Object]
Comparison of the  CAPM and the APT (cont’d) ,[object Object],[object Object]

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Market model

  • 1. Chapter 7 Why Diversification Is a Good Idea
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  • 31. Efficient Frontier (cont’d) Standard Deviation Expected Return 100% investment in security with highest E(R) 100% investment in minimum variance portfolio Points below the efficient frontier are dominated No points plot above the line All portfolios on the line are efficient
  • 32.
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  • 34. Efficient Frontier (cont’d) Standard Deviation Expected Return R f A B C
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  • 39. Capital Market Line and the Market Portfolio (cont’d) Standard Deviation Expected Return R f A B C
  • 40.
  • 41. Security Market Line (cont’d) Beta Expected Return R f Market Portfolio 1.0 E(R)
  • 42.
  • 43. Security Market Line (cont’d) Beta Expected Return Securities with Negative Expected Returns
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  • 46. Markowitz Quadratic Programming Problem
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  • 53. General Results Number of Securities Portfolio Variance
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