CHAPTE R 5
Risk and Return
LEARNING OBJECTIVES
2
?
Discuss the concepts of portfolio risk and return ? Determine the relationship between risk and return of portfolios ? Highlight the difference between systematic and unsystematic risks ? Examine the logic of portfolio theory ? Show the use of capital asset pricing model (CAPM) in the valuation of securities ? Explain the features and modus operandi of the arbitrage pricing theory (APT)
INTRODUCTION
3
? A portfolio
is a bundle or a combination of individual assets or securities. ? Portfolio theory provides a normative approach to investors to make decisions to invest their wealth in assets or securities under risk ? Extend the portfolio theory to derive a framework for valuing risky assets. This framework is referred to as the capital asset pricing model (CAPM). An alternative model for the valuation of risky assets is the arbitrage pricing theory (APT). ? The return of a portfolio is equal to the weighted average of the returns of individual assets (or securities)
4
PORTFOLIO RETURN: TWOASSET CASE
? The
return of a portfolio is equal to the weighted average of the returns of individual assets (or securities) in the portfolio with weights being equal to the proportion of investment value in each asset. ? We can use the following equation to calculate the expected rate of return of individual asset:
5
Expected Rate of Return: Example
?
Suppose you have an opportunity of investing your wealth either in asset X or asset Y. The possible outcomes of two assets in different states of economy are as follows:
Possible Outcomes of two Assets, X and Y Return (%) State of Economy Probability X Y
A B C D E
0.10 0.20 0.40 0.20 0.10
–8 10 8 5 –4
14 –4 6 15 20
The expected rate of return of X is the sum of the product of outcomes and their respective probability. That is:
E ( Rx ) = (- 8´ 0.1) + (10 ´ 0.2) + (8´ 0.4) + (5´ 0.2) + (4´ 0.1) = 5%
Similarly, the expected rate of return of Y is: E ( Ry ) = (14 ´ 0.1) + (- 4 ´ 0.2) + (6 ´ 0.4) + (15´ 0.2)
+ (20 ´ 0.1) = 8%
6
PORTFOLIO RISK: TWOASSET CASE
? Risk
of individual assets is measured by their variance or standard deviation. can use variance or standard deviation to measure the risk of the portfolio of assets as well. risk of portfolio would be less than the risk of individual securities, and that the risk of a security should be judged by its contribution to the portfolio risk.
? We
? The
7
Measuring Portfolio Risk for Two Assets
? The
portfolio variance or standard deviation depends on the co-movement of returns on two assets. ? Covariance of returns on two assets measures their comovement. ? Three steps are involved in the calculation of covariance between two assets:
Determining the expected returns on assets.
Determining the deviation of possible returns from the expected return for each asset.
Determining the sum of the product of each deviation of returns of two assets and respective probability.
8
State of Economy Probability A B C D E 0.1 0.2 0.4 0.2 0.1
Returns X –8 10 8 5 –4 E(RX) =5 Y 14 –4 6 15 20 E(RY) =8
Deviation from Product of Expected Deviation & Returns Probability X – 13 5 3 0 –9 Y 6 – 12 –2 7 12 – 7.8 – 12.0 – 2.4 0.0 – 10.8
Covar = –33.0
Example
9
The standard deviation of securities X and Y are as follows:
s 2 = 0.1(- 8 - 5) 2 + 0.2(10 - 5) 2 + 0.4(8 - 5) 2 x + 0.2(5 - 5) 2 + 0.1(- 4 - 5) 2 = 16.9 + 3.6 + 0 + 8.1 = 33.6 s
x
=
33.6 = 5.80% + 0.2(15 - 8) 2 + 0.1(20 - 8) 2
s 2 = 0.1(14 - 8) 2 + 0.2(- 4 - 8) 2 + 0.4(6 - 8) 2 y = 3.6 + 28.8 + 1.6 + 9.8 + 14.4 = 58.2 s
y
=
58.2 = 7.63%
The correlation of the two securities X and Y is as follows:
Corxy =
- 33.0 - 33.0 = = - 0.746 5.80´ 7.63 44.25
Securities X and Y are negatively correlated. The correlation coefficient of – 0.746 indicates a high negative relationship.
10
Measuring Portfolio Risk for Two Assets
Correlation
11
Correlation
12
? The
value of correlation, called the correlation coefficient, could be positive, negative or zero. ? It depends on the sign of covariance since standard deviations are always positive numbers. ? The correlation coefficient always ranges between –1.0 and +1.0. ? A correlation coefficient of +1.0 implies a perfectly positive correlation while a correlation coefficient of –1.0 indicates a perfectly negative correlation.
13
Variance and Standard Deviation of a Two-Asset Portfolio
14
Covariance Calculation Matrix
Minimum Variance Portfolio
15
16
Portfolio Risk Depends on Correlation between Assets
wealth in more than one security reduces portfolio
? Investing
risk. ? This is attributed to diversification effect. ? However, the extent of the benefits of portfolio diversification depends on the correlation between returns on securities. ? When correlation coefficient of the returns on individual securities is perfectly positive then there is no advantage of diversification. The weighted standard deviation of returns on individual securities is equal to the standard deviation of the portfolio. ? Diversification always reduces risk provided the correlation coefficient is less than 1.
17
PORTFOLIO RISK-RETURN ANALYSIS: TWO-ASSET CASE
Perfect Positive Correlation
18
19
There is no advantage of diversification when the returns of securities have perfect positive correlation.
Perfect Negative Correlation
20
? In
this the portfolio return increases and the portfolio risk declines. ? It results in risk-less portfolio. ? The correlation is -1.0.
21
Zero-variance portfolio
22
Zero Correlation
23
24
Positive Correlation
25
? In
reality, returns of most assets have positive but less than 1.0 correlation.
Limits to diversification
26
Since any probable correlation of securities Logrow and Rapidex will range between – 1.0 and + 1.0, the triangle in the above figure specifies the limits to diversification. The risk-return curves for any correlations within the limits of – 1.0 and + 1.0, will fall within the triangle ABC.
Minimum variance portfolio
27
? When
correlation is positive or negative, the minimum variance portfolio is given by the following formula:
EFFICIENT PORTFOLIO AND MEAN-VARIANCE CRITERION
28
29
Investment Opportunity Set: Two-Asset Case
? The
investment or portfolio opportunity set represents all possible combinations of risk and return resulting from portfolios formed by varying proportions of individual securities. presents the investor with the risk-return tradeoff.
? It
Portfolio Return and Risk for Different Correlation Coefficients
Weight Logrow 1.00 0.90 0.80 0.70 0.60 0.50 0.40 0.30 0.20 0.10 0.00 wL wR ?2 ? (%) Rapidex 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00 Portfolio Return (%) +1.00 Portfolio Risk, ?p (%) Correlation -1.00 0.00 0.50 ?p 16.00 15.74 15.76 16.06 16.63 17.44 18.45 19.64 20.98 22.44 24.00 0.857 0.143 246.86 15.71 -0.25 ?p 16.00 13.99 12.50 11.70 11.76 12.65 14.22 16.28 18.66 21.26 24.00 0.656 0.344 135.00 11.62 Rp ?p ?p ?p 12.00 16.00 16.00 16.00 12.60 16.80 12.00 14.60 13.20 17.60 8.00 13.67 13.80 18.40 4.00 13.31 14.40 19.20 0.00 13.58 15.00 20.00 4.00 14.42 15.60 20.80 8.00 15.76 16.20 21.60 12.00 17.47 16.80 22.40 16.00 19.46 17.40 23.20 20.00 21.66 18.00 24.00 24.00 24.00 Minimum Variance Portfolio 1.00 0.60 0.692 0.00 0.40 0.308 256 0.00 177.23 16 0.00 13.31
30
31
Investment opportunity sets given different correlations
doc_693148289.pptx
Risk and Return
LEARNING OBJECTIVES
2
?
Discuss the concepts of portfolio risk and return ? Determine the relationship between risk and return of portfolios ? Highlight the difference between systematic and unsystematic risks ? Examine the logic of portfolio theory ? Show the use of capital asset pricing model (CAPM) in the valuation of securities ? Explain the features and modus operandi of the arbitrage pricing theory (APT)
INTRODUCTION
3
? A portfolio
is a bundle or a combination of individual assets or securities. ? Portfolio theory provides a normative approach to investors to make decisions to invest their wealth in assets or securities under risk ? Extend the portfolio theory to derive a framework for valuing risky assets. This framework is referred to as the capital asset pricing model (CAPM). An alternative model for the valuation of risky assets is the arbitrage pricing theory (APT). ? The return of a portfolio is equal to the weighted average of the returns of individual assets (or securities)
4
PORTFOLIO RETURN: TWOASSET CASE
? The
return of a portfolio is equal to the weighted average of the returns of individual assets (or securities) in the portfolio with weights being equal to the proportion of investment value in each asset. ? We can use the following equation to calculate the expected rate of return of individual asset:
5
Expected Rate of Return: Example
?
Suppose you have an opportunity of investing your wealth either in asset X or asset Y. The possible outcomes of two assets in different states of economy are as follows:
Possible Outcomes of two Assets, X and Y Return (%) State of Economy Probability X Y
A B C D E
0.10 0.20 0.40 0.20 0.10
–8 10 8 5 –4
14 –4 6 15 20
The expected rate of return of X is the sum of the product of outcomes and their respective probability. That is:
E ( Rx ) = (- 8´ 0.1) + (10 ´ 0.2) + (8´ 0.4) + (5´ 0.2) + (4´ 0.1) = 5%
Similarly, the expected rate of return of Y is: E ( Ry ) = (14 ´ 0.1) + (- 4 ´ 0.2) + (6 ´ 0.4) + (15´ 0.2)
+ (20 ´ 0.1) = 8%
6
PORTFOLIO RISK: TWOASSET CASE
? Risk
of individual assets is measured by their variance or standard deviation. can use variance or standard deviation to measure the risk of the portfolio of assets as well. risk of portfolio would be less than the risk of individual securities, and that the risk of a security should be judged by its contribution to the portfolio risk.
? We
? The
7
Measuring Portfolio Risk for Two Assets
? The
portfolio variance or standard deviation depends on the co-movement of returns on two assets. ? Covariance of returns on two assets measures their comovement. ? Three steps are involved in the calculation of covariance between two assets:
Determining the expected returns on assets.
Determining the deviation of possible returns from the expected return for each asset.
Determining the sum of the product of each deviation of returns of two assets and respective probability.
8
State of Economy Probability A B C D E 0.1 0.2 0.4 0.2 0.1
Returns X –8 10 8 5 –4 E(RX) =5 Y 14 –4 6 15 20 E(RY) =8
Deviation from Product of Expected Deviation & Returns Probability X – 13 5 3 0 –9 Y 6 – 12 –2 7 12 – 7.8 – 12.0 – 2.4 0.0 – 10.8
Covar = –33.0
Example
9
The standard deviation of securities X and Y are as follows:
s 2 = 0.1(- 8 - 5) 2 + 0.2(10 - 5) 2 + 0.4(8 - 5) 2 x + 0.2(5 - 5) 2 + 0.1(- 4 - 5) 2 = 16.9 + 3.6 + 0 + 8.1 = 33.6 s
x
=
33.6 = 5.80% + 0.2(15 - 8) 2 + 0.1(20 - 8) 2
s 2 = 0.1(14 - 8) 2 + 0.2(- 4 - 8) 2 + 0.4(6 - 8) 2 y = 3.6 + 28.8 + 1.6 + 9.8 + 14.4 = 58.2 s
y
=
58.2 = 7.63%
The correlation of the two securities X and Y is as follows:
Corxy =
- 33.0 - 33.0 = = - 0.746 5.80´ 7.63 44.25
Securities X and Y are negatively correlated. The correlation coefficient of – 0.746 indicates a high negative relationship.
10
Measuring Portfolio Risk for Two Assets
Correlation
11
Correlation
12
? The
value of correlation, called the correlation coefficient, could be positive, negative or zero. ? It depends on the sign of covariance since standard deviations are always positive numbers. ? The correlation coefficient always ranges between –1.0 and +1.0. ? A correlation coefficient of +1.0 implies a perfectly positive correlation while a correlation coefficient of –1.0 indicates a perfectly negative correlation.
13
Variance and Standard Deviation of a Two-Asset Portfolio
14
Covariance Calculation Matrix
Minimum Variance Portfolio
15
16
Portfolio Risk Depends on Correlation between Assets
wealth in more than one security reduces portfolio
? Investing
risk. ? This is attributed to diversification effect. ? However, the extent of the benefits of portfolio diversification depends on the correlation between returns on securities. ? When correlation coefficient of the returns on individual securities is perfectly positive then there is no advantage of diversification. The weighted standard deviation of returns on individual securities is equal to the standard deviation of the portfolio. ? Diversification always reduces risk provided the correlation coefficient is less than 1.
17
PORTFOLIO RISK-RETURN ANALYSIS: TWO-ASSET CASE
Perfect Positive Correlation
18
19
There is no advantage of diversification when the returns of securities have perfect positive correlation.
Perfect Negative Correlation
20
? In
this the portfolio return increases and the portfolio risk declines. ? It results in risk-less portfolio. ? The correlation is -1.0.
21
Zero-variance portfolio
22
Zero Correlation
23
24
Positive Correlation
25
? In
reality, returns of most assets have positive but less than 1.0 correlation.
Limits to diversification
26
Since any probable correlation of securities Logrow and Rapidex will range between – 1.0 and + 1.0, the triangle in the above figure specifies the limits to diversification. The risk-return curves for any correlations within the limits of – 1.0 and + 1.0, will fall within the triangle ABC.
Minimum variance portfolio
27
? When
correlation is positive or negative, the minimum variance portfolio is given by the following formula:
EFFICIENT PORTFOLIO AND MEAN-VARIANCE CRITERION
28
29
Investment Opportunity Set: Two-Asset Case
? The
investment or portfolio opportunity set represents all possible combinations of risk and return resulting from portfolios formed by varying proportions of individual securities. presents the investor with the risk-return tradeoff.
? It
Portfolio Return and Risk for Different Correlation Coefficients
Weight Logrow 1.00 0.90 0.80 0.70 0.60 0.50 0.40 0.30 0.20 0.10 0.00 wL wR ?2 ? (%) Rapidex 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00 Portfolio Return (%) +1.00 Portfolio Risk, ?p (%) Correlation -1.00 0.00 0.50 ?p 16.00 15.74 15.76 16.06 16.63 17.44 18.45 19.64 20.98 22.44 24.00 0.857 0.143 246.86 15.71 -0.25 ?p 16.00 13.99 12.50 11.70 11.76 12.65 14.22 16.28 18.66 21.26 24.00 0.656 0.344 135.00 11.62 Rp ?p ?p ?p 12.00 16.00 16.00 16.00 12.60 16.80 12.00 14.60 13.20 17.60 8.00 13.67 13.80 18.40 4.00 13.31 14.40 19.20 0.00 13.58 15.00 20.00 4.00 14.42 15.60 20.80 8.00 15.76 16.20 21.60 12.00 17.47 16.80 22.40 16.00 19.46 17.40 23.20 20.00 21.66 18.00 24.00 24.00 24.00 Minimum Variance Portfolio 1.00 0.60 0.692 0.00 0.40 0.308 256 0.00 177.23 16 0.00 13.31
30
31
Investment opportunity sets given different correlations
doc_693148289.pptx