FINANCIAL ECONOMICS I
Transcript of FINANCIAL ECONOMICS I
FINANCIAL ECONOMICS I
RETURN AND RISK CONCEPTS
A GLOSSARY OF BASIC CONCEPTS
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RETURN
Return is gain or loss over time, usually expressed as
an annual percentage of initial investment
Holding period rate of return, π»ππ =π1βπ0+πΆ
π0
Effective annual rate (EAR) of return is useful for
comparing investments with different horizons
β (1 + πΈπ΄π )π= 1 + π»ππ , where π is a fraction of 1 year
Annual percentage rate (APR) of return is the rate of
return for each period times number of periods in a year
β π΄ππ = π Γ π»ππ (Note: π = 1/π)3
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CONTINUOUS COMPOUNDING
Recall: π΄ππ = π Γ π»ππ =1
ππ»ππ
This implies that π»ππ = π Γ π΄ππ
So that (1 + πΈπ΄π )π= 1 + (π Γ π΄ππ )
Alternatively 1 + πΈπ΄π = 1 + (π Γ π΄ππ ) 1/π
When T β 0, we approach continuous compounding:
β 1 + πΈπ΄π = ππ πΆπΆ, where π β 2.718282
β It follows that 1 + πΈπ΄π π = ππΓπ πΆπΆ
ππΓπ πΆπΆ is the total rate of return for a period, given the continuous compounding rate π πΆπΆ 4
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RISK
Expected return, πΈ π = Οπ=1π πππ π
Standard deviation of returns, ππ· π = πππ(π ) 1/2
Variance of returns, πππ π = Οπ=1π ππ π π β πΈ π 2
Expected holding period return can be broken down thus:
πΈπ₯ππππ‘ππ πππ‘π ππ πππ‘π’ππ =π ππ π πππππππ‘π
+π ππ π
ππππππ’π
Therefore, risk premium (or excess return) is the
holding period return minus risk-free rate of return 5
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MARKOWITZ PORTFOLIO OPTIMIZATION
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RISK AND RETURN OF A PORTFOLIO
The expected return on a portfolio is simply the
weighted average of the expected returns on assets
comprising the portfolio, with the weights being
the relative proportions of each asset in the
portfolio:
πΈ π π =
π=1
π
π€ππΈ π π = π€1πΈ π 1 +π€2πΈ π 2 + β¦+π€ππΈ π π
Unlike the expected return on a portfolio, the
standard deviation of returns on a portfolio is not
merely a weighted average of risks on the assets
comprising the portfolio 7
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RISK AND RETURN OF A PORTFOLIO
Rather, the extent of association among returns on the assets comprising the portfolio matters ad must be incorporated in the computation of portfolioβs total risk
Therefore, portfolio risk (standard deviation) is computed as
ππ· π π =
π=1
π
π=1
π
π€ππ€ππΆππ£ π π , π π
The covariance is obtained as
πΆππ£ π π , π π =
π=1
π
ππ π ππ β πΈ π π π ππ β πΈ π π
Or
πΆππ£ π π , π π = ππ· π π ππ· π π πΆπππ π π , π π
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RISK AND RETURN OF A PORTFOLIO
Substituting the covariance formula into the portfolio standard deviation formula gives
ππ· π π =
π=1
π
π=1
π
π€ππ€πππ· π π ππ· π π πΆπππ π π , π π
Suppose that π = 2. the portfolio risk is computed as
π€1π€1ππ· π 1 ππ· π 1 πΆπππ π 1, π 1 π€1π€2ππ· π 1 ππ· π 2 πΆπππ π 1, π 2π€2π€1ππ· π 1 ππ· π 2 πΆπππ π 2, π 1 π€2π€2ππ· π 2 ππ· π 2 πΆπππ π 2, π 2
π€12πππ π 1 π€1π€2ππ· π 1 ππ· π 2 πΆπππ π 1, π 2
π€2π€1ππ· π 2 ππ· π 1 πΆπππ π 2, π 1 π€22πππ π 2
ππ· π π = π€12πππ π 1 +π€2
2πππ π 2 + 2π€1π€2ππ· π 1 ππ· π 2 πΆπππ π 1, π 29
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RISK AVERSION AND UTILITY VALUES
Investors are risk averse if they demand positive risk
premium for a given quantity of risk
Investment opportunities (assets) are attractive if
they have low risk and high expected returns
If risk increases with return, investors must trade off
risk for return
The trade-off is achieved by assigning utility to the
assets based on their risk and expected return
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RISK AVERSION AND UTILITY VALUES
The following utility function has gained wide usage in evaluating investment opportunities:
π = πΈ π β ΰ΅1 2π΄π2
where π is the utility value, π΄ is investorβs risk aversion index; Ξ€1 2 is a scaling convention
More risk averse investors have large values of π΄ which penalizes risky investments more severely
The utility score can be interpreted as the certainty equivalent rate of return
(the rate of return that a risk-free asset must earn to be as competitive as the risky portfolio in question)
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MEAN-VARIANCE CRITERION
Mean-variance dominance criterion states that asset A
dominates asset B if
πΈ π π΄ β₯ πΈ π π΅
and
ππ΄π π π΄ β€ πππ π π΅
At least one equality must be strict to rule out
indifference
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INDIFFERENCE CURVES
Indifference curves are expected return-standard
deviation trade-off function (yield constant utility)
Consider portfolios P and Q in the figure below
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πΈ π π
ππ
Indifference curve
P
Q
Utility increases
Uti
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in
crease
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PORTFOLIOS OF ONE RISKY ASSET AND
ONE RISK-FREE ASSET
Assume an investor holds the proportion π¦ of her wealth
in a risky portfolio, P, and (1 β π¦) in a risk-free asset*, F
Thus, the complete portfolioβs riskiness will vary with π¦
Letβs define terms as follows:
ππ β the rate of return on the risky portfolio, π
πΈ ππ β the expected return on risky portfolio, π
ππ β the standard deviation of risky portfolio, π
ππ β return on risk-free asset, πΉ14
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PORTFOLIOS OF ONE RISKY ASSET AND
ONE RISK-FREE ASSET CONTβD
Thus, the expected return, E ππΆ , on the complete
portfolio, πΆ, is
E ππΆ = π¦πΈ ππ + (1 β π¦)ππ
= ππ + π¦ πΈ ππ β ππ β¦ β¦ β¦ β¦(1)
Because asset πΉ is risk-free, the standard deviation of
the returns on portfolio πΆ is simply:
ππΆ = π¦ππ β¦ β¦ β¦ β¦ β¦ β¦ β¦ β¦ (2)
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PORTFOLIOS OF ONE RISKY ASSET AND
ONE RISK-FREE ASSET CONTβD
Solving for π¦ in eq. (2), substituting the result
( Ξ€π¦ = ππΆ ππ) in equation (1) and rearranging:
E ππΆ = ππ + ππΆπΈ ππ β ππ
ππβ¦ β¦ β¦ β¦ β¦ β¦(3)
Equation (3) is called the capital allocation line (CAL*)
The expected excess return on portfolio πΆ, per unit of
additional risk is the slope of the CAL, also called the
reward-to-volatility ratio, (or the Sharpe ratio):
π =πΈ ππ β ππ
ππ
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PORTFOLIOS OF ONE RISKY ASSET AND
ONE RISK-FREE ASSET CONTβD
Lending and Borrowing
Consider the graph of equation (3):
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PπΈ ππ
ππ
CAL
π =πΈ ππ β ππ
ππ
ππ
C
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PORTFOLIOS OF ONE RISKY ASSET AND
ONE RISK-FREE ASSET CONTβD
Suppose P is the investorβs βdesiredβ risky portfolio
Thus, she can invest in π and also invest (lend) in the
risk-free asset, πΉ, to form their optimal portfolio, (e.g. πΆ)
Investors can also borrow at the risk-free rate, if
possible, to form a portfolio to the right of π (e.g. π)
However, since the investor has borrowed, the
proportion of her wealth in portfolio π, π¦ > 1
β Accordingly, (1 β π¦)must be negative
Clearly, portfolio π must be riskier than portfolio πΆ18
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PORTFOLIOS OF ONE RISKY ASSET AND
ONE RISK-FREE ASSET CONTβD
In practice, private (nongovernmental) investors
usually borrow at above the risk-free rate (say, πππ΅)
Private investors borrow through margin accounts
Thus, their capital allocation line will be kinked at P:
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π ππ΅
π π
PπΈ π π
ππ
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RISK TOLERANCE AND ASSET ALLOCATION
The CAL gives provides investors with the set of all feasible capital allocation choices (opportunity set)
We can determine the portfolio (combination of risky and
risk-free asset) at which investors maximize utility thus:
πππ₯ π = πΈ π πΆ β ΰ΅1 2π΄ππΆ2 = ππ + π¦ πΈ ππ β ππ β Ξ€1 2π΄π¦2ππ
2
Differentiating π w.r.t. π¦, setting the derivative equal to 0 and solving for π¦ gives
π¦β = Ξ€πΈ ππ β ππ π΄ππ2
Thus, the optimal portfolio is inversely proportional to risk and risk tolerance coefficient but directly proportional to the risk premium
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RISK TOLERANCE AND ASSET ALLOCATION
Theoretically, individuals choose portfolios from the
opportunity set based on their degrees of risk aversion
(less risk-averse investors hold less of the risk-free
asset etc.)
The degree of risk aversion is reflected in the slope of
each investorβs indifference curve
The slope of the indifference curve is steeper the higher
is the investorβs risk aversion coefficient, A
See illustration next slide and in Excel 21
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RISK TOLERANCE AND ASSET ALLOCATION
β INDIFFERENCE CURVES
220.000
0.100
0.200
0.300
0.400
0.500
0.600
0.700
0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50
A = 4
A = 2
U = 0.15
U = 0.05
More desirable portfolios
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CAPITAL ALLOCATION USING INDIFFERENCE
CURVES
Assume ππ = 15%; πΈ π π = 35%; and π π = 3%
230.000
0.100
0.200
0.300
0.400
0.500
0.600
0.700
0.800
0.900
0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20
CAL
Optimal portfolio, C
Risky
portfolio, P
π π
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PASSIVE (RISKY) PORTFOLIOS
Portfolio P above is formed by the investor after researching each assetβs promised returns and risk
An alternative is to invest in a passive portfolio (which do not require research and regular rebalancing)
Passive portfolios are available in some of Africaβs stock markets [e.g. South Africaβs index funds and/or ETFs (Satrix, Stanlib etc.)]
Advantages of passive portfolios
1. Lower cost
2. Free-rider benefit
A capital allocation line representing a strategy with a passive risky portfolio is called the capital market line (CML) 24
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DIVERSIFICATION
The risk of an asset can be split into two components:
1. Systematic risk: the general component attributable to broad macroeconomic factors (e.g. GDP)
2. Non-systematic or diversifiable risk: related to factors specific to the asset issuer (e.g. managerial changes)
Non-systematic risk can be reduced (possibly eliminated) by investing in several non-related assets
β This strategy is called diversification 25
Systematic risk
Non-systematic risk
No. of securities
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PORTFOLIOS OF TWO RISKY ASSETS
Assume an investor holds a portfolio of two assets, 1 and
2 with expected returns πΈ π 1 and πΈ π 2 respectively
The proportion of the investorβs wealth in asset 1 is π€1and the proportion in asset 2 is π€2 (where π€2 = 1 β π€1)
The expected return on the two-asset portfolio is
πΈ ππ = π€1πΈ π1 +π€2πΈ π2
The variance of the two-asset portfolio is
πππ π π = π€12πππ π 1 +π€2
2πππ π 2 + 2π€1π€2πΆππ£ π 1, π 226
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PORTFOLIOS OF TWO RISKY ASSETS CONTβD
The covariance of returns can be expressed as
πΆππ£ π 1, π 2 = ππ· π 1 ππ· π 2 πΆπππ(π 1, π 2)
Thus, the two-asset portfolio variance is
ππ2 = π€1
2π12 +π€2
2π22 + 2π€1π€2π1π2π12
Note:
1. Portfolio risk is usually less than the weighted average of risks of individual assets comprising it
2. The upper bound portfolio risk is realized when the correlation coefficient is +1
3. The lower bound is realized when the correlation coefficient is: -1 27
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MINIMUM VARIANCE PORTFOLIO
The combination of assets 1 and 2 that gives a portfolio
with the minimum variance can be obtained by
differentiating the variance equation with respect to π€1,
setting the result equal to zero, then solving for π€1β:
ππππ π πππ€1
= 2π€1ππ2 β 2ππ
2 + 2π€1ππ2 + 2ππ,πππππ β 4π€1ππ,πππππ = 0
2π€1 ππ2 + ππ
2 β 2ππ,πππππ + 2ππ,πππππ β 2ππ2 = 0
Dividing through by 2 and solving for π€1β, we obtain
π€1β =
ππ2β ππ,πππππ
ππ2+ ππ
2β 2ππ,πππππ
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PORTFOLIOS OF TWO RISKY ASSETS
CONTβD
Consider two assets π and π :
Suppose you can form ten portfolios with weights 100%,
90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, 10% and 0%
respectively in asset π
The expected returns and standard deviations can be
obtained under various correlation assumptions 29
Asset Expected return Standard deviation
X 10% 3.5%
Y 8.5% 2%
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PORTFOLIO OPPORTUNITY SET
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8.4
8.6
8.8
9
9.2
9.4
9.6
9.8
10
10.2
0 0.5 1 1.5 2 2.5 3 3.5 4
Ex
pe
cte
d r
etu
rn
(%
)
Standard deviation of returns (%)
Lower bound Upper bound Port Opp Set
More desirable portfolios
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PORTFOLIO OPPORTUNITY SET
Notice that the benefits of diversification are greater
the lower the correlation coefficient
Negative correlations give deeper curvatures and give
more desirable portfolios
Notice, too, that perfect positive correlation is not
useful for diversification
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PORTFOLIO CHOICE
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EFFICIENT FRONTIER WITH π΅ RISKY ASSETS
Consider the portfolio opportunity set (minimum
variance frontier) of π risky assets in Figure 1
B
πΈ(π π·)
π ππ΄,π·,πΈ
ππ΄,π·,πΈππ΄,π·,πΈ
D
C πΈ(π πΆ,πΈ)
E
πΈ(π π΄) A
β
β
β
β
β
Figure 1: The opportunity set of risky portfolios
βY
βX
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On Figure 1
The area enclosed by the curvature plus the boundary represents portfolios of risky assets
The opportunity set is clearly an infinite set
Point B is the minimum variance portfolio
Portfolios along the frontier π΅π will be preferred by investors to portfolios below the frontier
Accordingly, the frontier π΅π is known as the efficient frontier or efficient set
The efficient frontier is the market determined investorsβ marginal rate of transformation (MRT) between risk and return
β It is the set of portfolios that offers the highest possible expected return for any given level of risk or entails the lowest risk for any given level of expected return 34
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Because all portfolios on the frontier π΅π are efficient, rational investors can choose any one of them
β Each individualβs exact portfolio choice is informed by the individualβs subjective marginal rate of substitution (MRS) between risk and return
β The MRS is determined by investorsβ degree of risk aversion (slope of the investorβs indifference curves)
Indifference curves are maps of the individualβs risk-return trade-off that yield the same total utility
The individualβs total utility is maximized when his/her MRS exactly equals MRT
Thus, the point of tangency between each individualβs highest indifference curve and the efficient frontier is the location of the individualβs optimal portfolio: the point of tangency therefore sets the individualβs subjective price of risk
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B
πΈ(π πΏ)
π ππΏ
ππ΄,π·,πΈππ΄,π·,πΈ
πΆπ― πΈ(π π») β
β
β
Figure 2: Optimal portfolio choice
βY
πΆπ³
ππ»
ππ΄,π·,πΈππ΄,π·,πΈ
OPTIMAL PORTFOLIO CHOICE
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On Figure 2
The figure shows the optimal choices of two
investors with dissimilar degrees of risk aversion
Investor π», who has a relatively high degree of risk
aversion (steep indifference curve), chooses his
optimal portfolio on the lower segment of the
efficient frontier, portfolio ππ»,
Investor πΏ with relatively low degree of risk
aversion chooses her optimal portfolio on the upper
part of the frontier, point ππΏ, where she bears more
risk but enjoys the prospect of higher returns
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RISK-FREE ASSETS AND PORTFOLIO CHOICE
Consider an investor who buys a risky portfolio in the proportion π€1 of her wealth and invests the remaining proportion (1 β π€1) in a risk-free asset
An asset is risk-free if it offers the same return possibility in all states of nature
The expected return on the resulting portfolio is
πΈ π π = π€1πΈ π 1 + 1 β π€1 π π (1)
where πΈ π 1 is the expected return on the risky-asset portfolio and π π is the return on the risk-free asset
The variance of the resulting portfolio is
πππ π π = π€12π1
2 + 1 β π€12ππ
2 + 2π€1 1 β π€1 π1,ππ1ππ = π€12π1
2
(2) 38
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From equation (2), the standard deviation of the portfolio is
ππ· π π = π€1π1 (3)
Equations (2) and (3) show that the risk-free asset does not contribute to the total risk of the resulting portfolio
The portfolio that results from the combination of a risky-asset portfolio and a risk-free asset has return characteristics that are linear in πΈ(π π) and ππ space
Proof of linearity is straightforward:
ππΈ π π
ππ€1= πΈ π 1 β π π
πππ· π π
ππ€1= π1
β Therefore, the slope of the function that describes the return and risk of the portfolio is:
ππΈ π π
π ππ· π π=
Ξ€ππΈ π π ππ€1
Ξ€π ππ· π π ππ€1=
πΈ π 1 βπ π
π1(4) 39
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COMBINING THE RISK-FREE ASSET WITH
A RISKY PORTFOLIO
Suppose that the market is frictionless (no
transaction costs and other inefficiencies) so that
investors can lend unlimited amounts of money at
the risk-free rate, π π
Since the return-risk combination that results is a
straight-line function (already proved), we can
draw a straight line from the risk-free rate to any
risky-asset portfolio on the efficient frontier
Points along the straight lines represent various
possible portfolio combinations β see Figure 340
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COMBINING THE RISK-FREE ASSET WITH
A RISKY PORTFOLIO
B
π
β
β
β
Figure 3: Combining the risky-asset portfolio with the risk-free asset
βY
π π
M
C
βX
A β
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1 2
COMBINING THE RISK-FREE ASSET WITH
A RISKY PORTFOLIO
Notice that portfolios along the line π ππ dominate all
the portfolios along the lines below it
Notice, too, that portfolios on the curvature ππ, originally on the efficient frontier, are also dominated by the portfolios on the line π ππ and are therefore no
longer efficient
Accordingly, when the risk-free asset with return, π π, is
introduced, all rational investors will choose portfolios from the line segment π ππ and the curvature ππ
(That is, the new efficient frontier is π πππ)
Each investorβs optimal portfolio will, again, be determined by their degrees of risk aversion
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COMBINING THE RISK-FREE ASSET WITH
A RISKY PORTFOLIO
π
β
Figure 4: Portfolio choice with lending at the risk-free rate
βY
π π
M
βX
β
β
πΆπ³
πΆπ―
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QUESTIONS FOR SELF-STUDY
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SELF-STUDY QUESTION
You are presented with the following information
relating to the expected performance of the stock
of company J after one year
Required
1. Determine the expected return, the standard
deviation of returns and coefficient of variation
for the above stock 45
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Possible Return (GhC) 100 120 130 150 180 220
Probability 0.05 0.14 0.20 0.36 0.20 0.05
SELF-STUDY QUESTION
Suppose you have decided to invest in the above
stock, based on the values computed in (i).
However, you have read in the financial press
about the risk reduction benefits of diversification
and decided to combine stock J with other
securities.
Your Financial Analyst has provided you with the
following information relating to two stocks of
companies K and L, and an outstanding bond
issued by company M. Further the correlation
coefficients between the returns on pair-wise
combinations of the four securities are provided: 46
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SELF-STUDY QUESTION
Your maximum acceptable standard deviation on the resulting portfolio is GhC 130 and you have a total of GhC 1,500,000 to invest in the above securities. Your financial analyst has suggested that GhC 300,000 and GhC 500,000 should be invested in stock L and bond M, respectively
1. How much money must you invest in each of the remaining securities to attain your maximum risk target?
2. Compute the coefficient of variation of the resulting portfolio
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Security
Expected
Return (GhC)
Standard
Deviation (GhC)
Correlation With
J K L
K 250 50 0.50
L 80 10 0.10 -0.20
M 100 20 0.15 0.10 0.30