Math Problem Statement

We have a covariance metric of following assets’ returns below: Assets ABC DEF Market portfolio ABC 0.0400 DEF 0.0240 0.1600 Market portfolio 0.0120 0.0080 0.0100 We also have the return profile of these assets and portfolio information below: Assets ABC DEF Expected Return 20% 15% Weight 60% 40% a) What is the portfolio expected return and risk containing these two assts ABC and DEF. (7 marks)

Solution

To calculate the portfolio's expected return and risk, we need to use the information provided:

Given Data

  1. Expected Returns of assets:

    • ABC: 20% (0.20)
    • DEF: 15% (0.15)
  2. Weights in the portfolio:

    • ABC: 60% (0.60)
    • DEF: 40% (0.40)
  3. Covariance Matrix:

    • Variance of ABC = 0.0400
    • Variance of DEF = 0.1600
    • Covariance of ABC and DEF = 0.0240

Part A: Expected Portfolio Return

The expected return of a portfolio, E(Rp)E(R_p), is the weighted sum of the expected returns of each asset:

E(Rp)=wABC×E(RABC)+wDEF×E(RDEF)E(R_p) = w_{ABC} \times E(R_{ABC}) + w_{DEF} \times E(R_{DEF})

Substituting in the values:

E(Rp)=(0.60×0.20)+(0.40×0.15)E(R_p) = (0.60 \times 0.20) + (0.40 \times 0.15) E(Rp)=0.12+0.06=0.18 or 18%E(R_p) = 0.12 + 0.06 = 0.18 \text{ or } 18\%

So, the expected return of the portfolio is 18%.

Part B: Portfolio Risk (Standard Deviation)

To calculate the portfolio's risk (standard deviation), we use the formula for the variance of a two-asset portfolio. The portfolio variance, σp2\sigma_p^2, is calculated as follows:

σp2=(wABC2×σABC2)+(wDEF2×σDEF2)+2×wABC×wDEF×Cov(ABC,DEF)\sigma_p^2 = (w_{ABC}^2 \times \sigma_{ABC}^2) + (w_{DEF}^2 \times \sigma_{DEF}^2) + 2 \times w_{ABC} \times w_{DEF} \times \text{Cov}(ABC, DEF)

Where:

  • σABC2=0.0400\sigma_{ABC}^2 = 0.0400 (variance of ABC)
  • σDEF2=0.1600\sigma_{DEF}^2 = 0.1600 (variance of DEF)
  • Covariance Cov(ABC,DEF)=0.0240\text{Cov}(ABC, DEF) = 0.0240
  1. Calculate each component:

    • wABC2×σABC2=(0.60)2×0.0400=0.0144w_{ABC}^2 \times \sigma_{ABC}^2 = (0.60)^2 \times 0.0400 = 0.0144
    • wDEF2×σDEF2=(0.40)2×0.1600=0.0256w_{DEF}^2 \times \sigma_{DEF}^2 = (0.40)^2 \times 0.1600 = 0.0256
    • 2×wABC×wDEF×Cov(ABC,DEF)=2×0.60×0.40×0.0240=0.011522 \times w_{ABC} \times w_{DEF} \times \text{Cov}(ABC, DEF) = 2 \times 0.60 \times 0.40 \times 0.0240 = 0.01152
  2. Add these values to find the portfolio variance:

    σp2=0.0144+0.0256+0.01152=0.05152\sigma_p^2 = 0.0144 + 0.0256 + 0.01152 = 0.05152

  3. Calculate the portfolio standard deviation (risk) by taking the square root of the variance:

    σp=0.051520.2270 or 22.70%\sigma_p = \sqrt{0.05152} \approx 0.2270 \text{ or } 22.70\%

Summary

  • Portfolio Expected Return: 18%
  • Portfolio Risk (Standard Deviation): 22.70%

Would you like further details or clarification on any of these steps?


Here are five related questions for deeper understanding:

  1. How would the portfolio's risk change if the weight of ABC increased?
  2. What impact does covariance have on portfolio risk?
  3. How would we adjust the portfolio if we aimed to reduce its overall risk?
  4. What is the Sharpe Ratio, and how is it used to assess portfolio performance?
  5. How can diversification be improved by adding more assets?

Tip: Portfolio risk can be minimized by adding assets with low or negative correlations to the portfolio, as they help offset each other's volatility.

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Math Problem Analysis

Mathematical Concepts

Portfolio Expected Return
Portfolio Risk
Covariance
Variance
Standard Deviation

Formulas

Portfolio Expected Return: E(R_p) = w_ABC * E(R_ABC) + w_DEF * E(R_DEF)
Portfolio Variance: σ_p^2 = (w_ABC^2 * σ_ABC^2) + (w_DEF^2 * σ_DEF^2) + 2 * w_ABC * w_DEF * Cov(ABC, DEF)
Portfolio Risk (Standard Deviation): σ_p = √(σ_p^2)

Theorems

Modern Portfolio Theory (Markowitz Portfolio Theory)

Suitable Grade Level

Undergraduate