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MBF2263 Portfolio Management
Lecture 6: Portfolio Analysis
2
THE EFFICIENT SET THEOREM
• THE THEOREM
– An investor will choose his optimal portfolio from the set of portfolios that offer
• maximum expected returns for varying levels of risk, and
• minimum risk for varying levels of returns
3
THE EFFICIENT SET THEOREM
• THE FEASIBLE SET
– DEFINITION: represents all portfolios that could be formed from a group of N securities
4
THE EFFICIENT SET THEOREM
THE FEASIBLE SET
rP
sP0
5
THE EFFICIENT SET THEOREM
• EFFICIENT SET THEOREM APPLIED TO THE FEASIBLE SET
– Apply the efficient set theorem to the feasible set• the set of portfolios that meet first conditions of efficient set
theorem must be identified
• consider 2nd condition set offering minimum risk for varying levels of expected return lies on the “western” boundary
• remember both conditions: “northwest” set meets the requirements
6
THE EFFICIENT SET THEOREM
• THE EFFICIENT SET
– where the investor plots indifference curves and chooses the one that is furthest “northwest”
– the point of tangency at point E
7
THE EFFICIENT SET THEOREM
THE OPTIMAL PORTFOLIO
E
rP
sP0
8
CONCAVITY OF THE EFFICIENT SET
• WHY IS THE EFFICIENT SET CONCAVE?– BOUNDS ON THE LOCATION OF PORFOLIOS
– EXAMPLE:• Consider two securities
– Ark Shipping Company
» E(r) = 5% s = 20%
– Gold Jewelry Company
» E(r) = 15% s = 40%
9
CONCAVITY OF THE EFFICIENT SET
sP
rP
A
G
rA = 5
sA=20
rG=15
sG=40
10
CONCAVITY OF THE EFFICIENT SET
• ALL POSSIBLE COMBINATIONS RELY ON THE WEIGHTS (X1 , X 2)
X 2 = 1 - X 1
Consider 7 weighting combinations
using the formula
2211
1
rXrXrXrN
i
iiP
11
CONCAVITY OF THE EFFICIENT SET
Portfolio return
A 5
B 6.7
C 8.3
D 10
E 11.7
F 13.3
G 15
12
CONCAVITY OF THE EFFICIENT SET
• USING THE FORMULA
we can derive the following:
2/1
1 1
N
i
N
j
ijjiP XX ss
13
CONCAVITY OF THE EFFICIENT SET
rP sP=+1 sP=-1
A 5 20 20
B 6.7 10 23.33
C 8.3 0 26.67
D 10 10 30.00
E 11.7 20 33.33
F 13.3 30 36.67
G 15 40 40.00
14
CONCAVITY OF THE EFFICIENT SET
• UPPER BOUNDS
– lie on a straight line connecting A and G
• i.e. all s must lie on or to the left of the straight line
• which implies that diversification generally leads to risk reduction
15
CONCAVITY OF THE EFFICIENT SET
• LOWER BOUNDS
– all lie on two line segments
• one connecting A to the vertical axis
• the other connecting the vertical axis to point G
– any portfolio of A and G cannot plot to the left of the two line segments
– which implies that any portfolio lies within the boundary of the triangle
16
CONCAVITY OF THE EFFICIENT SET
A
G
upper bound
lower bound
rP
sP0
17
CONCAVITY OF THE EFFICIENT SET
• ACTUAL LOCATIONS OF THE PORTFOLIO
– What if correlation coefficient (r ij ) is zero?
18
CONCAVITY OF THE EFFICIENT SET
RESULTS:
sB = 17.94%
sB = 18.81%
sB = 22.36%
sB = 27.60%
sB = 33.37%
19
CONCAVITY OF THE EFFICIENT SET
ACTUAL PORTFOLIO LOCATIONS
B
CD E
F
20
CONCAVITY OF THE EFFICIENT SET
• IMPLICATION:
– If rij < 0 line curves more to left
– If rij = 0 line curves to left
– If rij > 0 line curves less to left
21
CONCAVITY OF THE EFFICIENT SET
• KEY POINT
– As long as -1 < r< 1 , the portfolio line curves to the left and the northwest portion is concave
– i.e. the efficient set is concave
22
THE MARKET MODEL
• A RELATIONSHIP MAY EXIST BETWEEN A STOCK’S RETURN AN THE MARKET INDEX RETURN
where aiI intercept term
ri = return on security
rI = return on market index I
b iI slope term
e iI random error term
iIIiiIi rr eba 1
23
THE MARKET MODEL
• THE RANDOM ERROR TERMS ei, I
– shows that the market model cannot explain perfectly
– the difference between what the actual return value is and
– what the model expects it to be is attributable to
ei, I
24
THE MARKET MODEL
• ei, I CAN BE CONSIDERED A RANDOM VARIABLE
–DISTRIBUTION:
• MEAN = 0
• VARIANCE = sei
25
DIVERSIFICATION
• PORTFOLIO RISKTOTAL SECURITY RISK: s2
i• has two parts:
where = the market variance of index returns
= the unique variance of security ireturns
2222
iiiIi essbs
22sbiI
2
ies
26
DIVERSIFICATION
• TOTAL PORTFOLIO RISK
– also has two parts: market and unique
• Market Risk– diversification leads to an averaging of market risk
• Unique Risk– as a portfolio becomes more diversified, the smaller will be its
unique risk
27
DIVERSIFICATION
• Unique Risk– mathematically can be expressed as
N
i
iPN1
2
2
2 1ee ss
NN
N
22
2
2
1 ...1 eee sss