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Lesson 3 of 29
Quiz

Expected Return and Variance for a Two Asset Portfolio

Expected Return for a Two Asset Portfolio

The expected return of a portfolio is equal to the weighted average of the returns on individual assets in the portfolio.

Rp=w1R1+w2R2R_p = w_1R_1 + w_2R_2Rp​=w1​R1​+w2​R2​
  • RpR_pRp​ = expected return for the portfolio
  • w1w_1w1​ = proportion of the portfolio invested in asset 1
  • R1R_1R1​ = expected return of asset 1

Expected Variance for a Two Asset Portfolio

The variance of the portfolio is calculated as follows:

σp2=w12σ12+w22σ22+2w1w2Cov1,2\sigma_{p}^2 = w_{1}^2\sigma_{1}^2 + w_{2}^2\sigma_{2}^2 + 2w_{1}w_{2}Cov_{1,2}σp2​=w12​σ12​+w22​σ22​+2w1​w2​Cov1,2​
  • Cov1,2Cov_{1,2}Cov1,2​ = covariance between assets 1 and 2
  • Cov1,2=ρ1,2⋅σ1⋅σ2\text{Cov}_{1,2} = \rho_{1,2} \cdot \sigma_{1} \cdot \sigma_{2}Cov1,2​=ρ1,2​⋅σ1​⋅σ2​; where ρ = correlation between assets 1 and 2

The above equation can be rewritten as:

σp2=w12σ12+w22σ22+2w1w2ρ1,2σ1σ2\sigma_{p}^2 = w_{1}^2\sigma_{1}^2 + w_{2}^2\sigma_{2}^2 + 2w_{1}w_{2} \rho_{1,2} \sigma_{1} \sigma_{2}σp2​=w12​σ12​+w22​σ22​+2w1​w2​ρ1,2​σ1​σ2​

Keep in mind that this is the calculation for portfolio variance. If a test question asks for the standard deviation then you will need to take the square root of the variance calculation. Percentage values can be used in this formula for the variances, instead of decimals.

Example 

The following information about a two stock portfolio is available:

 Stock AStock B
Amount20,00030,000
Expected Returns12%20%
Standard Deviation20%30%
Correlation0.25

The weights for the two assets are:

wA=20,00050,000=40% wB=30,00050,000=60%\begin{align*} w_A &= \frac{20,000}{50,000} = 40\% \\\ w_B &= \frac{30,000}{50,000} = 60\% \end{align*}wA​ wB​​=50,00020,000​=40%=50,00030,000​=60%​ Expected Returns=0.40×0.12+0.60×0.20=16.8%\textbf{Expected Returns} = 0.40 \times 0.12 + 0.60 \times 0.20 = 16.8\%Expected Returns=0.40×0.12+0.60×0.20=16.8% Variance=(0.40)2(0.20)2+(0.60)2(0.30)2+2(0.40)(0.60)(0.25)(0.20)(0.30) =0.046\textbf{Variance} = (0.40)^2(0.20)^2 + (0.60)^2(0.30)^2 + 2(0.40)(0.60)(0.25)(0.20)(0.30) \\\ = 0.046Variance=(0.40)2(0.20)2+(0.60)2(0.30)2+2(0.40)(0.60)(0.25)(0.20)(0.30) =0.046 Standard deviation=0.046=0.2145 or 21.45%\textbf{Standard deviation} = \sqrt{0.046} = 0.2145 \text{ or } 21.45\%Standard deviation=0.046​=0.2145 or 21.45%

Expected Variance for a Three Asset Portfolio

σp2=w12σ12+w22σ22+w32σ32+2w1w2Cov1,2+2w1w3Cov1,3+2w2w3Cov2,3\sigma_p^2 = w_1^2 \sigma_{1}^2 + w_2^2 \sigma_{2}^2 + w_3^2 \sigma_{3}^2 + 2w_1w_2 \text{Cov}_{1,2} + 2w_1w_3 \text{Cov}_{1,3} + 2w_2w_3 \text{Cov}_{2,3}σp2​=w12​σ12​+w22​σ22​+w32​σ32​+2w1​w2​Cov1,2​+2w1​w3​Cov1,3​+2w2​w3​Cov2,3​

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Mean-Variance Analysis Assumptions

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The Minimum Variance Frontier & Efficient Frontier

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Portfolio Management

29 lessons

Lessons

1
CFA Level 2: Portfolio Management – Introduction
2
Mean-Variance Analysis Assumptions
3
Expected Return and Variance for a Two Asset Portfolio
4
The Minimum Variance Frontier & Efficient Frontier
5
Diversification Benefits
6
The Capital Allocation Line – Introducing the Risk-free Asset
7
The Capital Market Line
8
CAPM & the SML
9
Adding an Asset to a Portfolio – Improving the Minimum Variance Frontier
10
The Market Model for a Security’s Returns
11
Adjusted and Unadjusted Beta
12
Multifactor Models
13
Arbitrage Portfolio Theory (APT) – A Multifactor Macroeconomic Model
14
Risk Factors and Tracking Portfolios
15
Markowitz, MPT, and Market Efficiency
16
International Capital Market Integration
17
Domestic CAPM and Extended CAPM
18
Changes in Real Exchange Rates
19
International CAPM (ICAPM) - Beyond Extended CAPM
20
Measuring Currency Exposure
21
Company Stock Value Responses to Changes in Real Exchange Rates
22
ICAPM vs. Domestic CAPM
23
The J-Curve – Impact of Exchange Rate Changes on National Economies
24
Moving Exchange Rates and Equity Markets
25
Impacts of Market Segmentation on ICAPM
26
Justifying Active Portfolio Management
27
The Treynor-Black Model
28
Portfolio Management Process
29
The Investor Policy Statement
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