Math Problem Statement

(10 points) An amateur investor is looking to invest into the uncorrelated assets (ρ = 0) with the following characteristics: Asset Expected return Standard deviation A 0.02 0.10 B 0.10 0.25 Find the weights of a minimum-variance portfolio that consists of assets A and B, assuming the investor is aiming for a portfolio return of 12%. give me all the calculation complete step by step

Solution

We are tasked with finding the weights of a minimum-variance portfolio made up of two uncorrelated assets, A and B, with an expected portfolio return of 12%.

Given:

  • Expected return of Asset A (RAR_A) = 0.02
  • Standard deviation of Asset A (σA\sigma_A) = 0.10
  • Expected return of Asset B (RBR_B) = 0.10
  • Standard deviation of Asset B (σB\sigma_B) = 0.25
  • Desired portfolio return (RpR_p) = 0.12
  • The assets are uncorrelated (ρ=0\rho = 0).

Step 1: Define the portfolio return and weights

The portfolio return RpR_p is given by the weighted sum of the returns of the two assets: Rp=wARA+wBRBR_p = w_A R_A + w_B R_B where:

  • wAw_A is the weight of Asset A in the portfolio,
  • wBw_B is the weight of Asset B in the portfolio.

We also know that: wA+wB=1w_A + w_B = 1 Since we aim for a portfolio return of 12%, we substitute Rp=0.12R_p = 0.12 into the return equation: 0.12=wA(0.02)+wB(0.10)0.12 = w_A (0.02) + w_B (0.10) We now have two equations:

  1. wA+wB=1w_A + w_B = 1
  2. 0.12=0.02wA+0.10wB0.12 = 0.02 w_A + 0.10 w_B

Step 2: Solve for wAw_A and wBw_B

From equation (1): wB=1wAw_B = 1 - w_A Substitute this into equation (2): 0.12=0.02wA+0.10(1wA)0.12 = 0.02 w_A + 0.10 (1 - w_A) Expand and simplify: 0.12=0.02wA+0.100.10wA0.12 = 0.02 w_A + 0.10 - 0.10 w_A 0.120.10=(0.020.10)wA0.12 - 0.10 = (0.02 - 0.10) w_A 0.02=0.08wA0.02 = -0.08 w_A Solve for wAw_A: wA=0.020.08=0.25w_A = \frac{0.02}{-0.08} = -0.25 So, the weight of Asset A is wA=0.25w_A = -0.25.

Now, using wB=1wAw_B = 1 - w_A: wB=1(0.25)=1.25w_B = 1 - (-0.25) = 1.25 So, the weight of Asset B is wB=1.25w_B = 1.25.

Step 3: Minimum-variance portfolio

The variance of the portfolio σp2\sigma_p^2 is given by: σp2=wA2σA2+wB2σB2\sigma_p^2 = w_A^2 \sigma_A^2 + w_B^2 \sigma_B^2 Since the assets are uncorrelated, the covariance term is 0.

Substitute the values for wAw_A, wBw_B, σA\sigma_A, and σB\sigma_B: σp2=(0.25)2(0.10)2+(1.25)2(0.25)2\sigma_p^2 = (-0.25)^2 (0.10)^2 + (1.25)^2 (0.25)^2 σp2=(0.0625)(0.01)+(1.5625)(0.0625)\sigma_p^2 = (0.0625)(0.01) + (1.5625)(0.0625) σp2=0.000625+0.09765625\sigma_p^2 = 0.000625 + 0.09765625 σp2=0.09828125\sigma_p^2 = 0.09828125 The standard deviation (volatility) of the portfolio is: σp=0.098281250.3136\sigma_p = \sqrt{0.09828125} \approx 0.3136

Summary of results:

  • wA=0.25w_A = -0.25
  • wB=1.25w_B = 1.25
  • Portfolio variance σp2=0.09828125\sigma_p^2 = 0.09828125
  • Portfolio standard deviation σp0.3136\sigma_p \approx 0.3136

These weights suggest that the investor should short sell 25% of Asset A and invest 125% in Asset B to achieve a 12% return with minimum variance.


Would you like more details on any step or have additional questions? Here are 5 related questions to deepen your understanding:

  1. How would the portfolio change if the assets were correlated?
  2. What if the desired portfolio return was 8% instead of 12%?
  3. How does short selling affect the overall portfolio risk?
  4. Can the variance of the portfolio be reduced further by adding more assets?
  5. What if the standard deviation of Asset B was lower—how would that affect the weights?

Tip: When constructing a portfolio, consider the trade-off between expected return and risk (volatility) to make informed investment decisions.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Portfolio Optimization
Linear Algebra
Variance Minimization

Formulas

Portfolio return: Rp = wA * RA + wB * RB
Weight sum constraint: wA + wB = 1
Variance of portfolio: σp^2 = wA^2 * σA^2 + wB^2 * σB^2

Theorems

Minimum Variance Portfolio Theorem

Suitable Grade Level

Undergraduate Finance/Economics