Math Problem Statement
Suppose Johnson & johnsonJohnson & johnson and the Walgreens Boots AllianceWalgreens Boots Alliance have the expected returns and volatilities shown here, Expected Return (%) Standard Devistion (%)
Johnson & johnson 12 12
Walgreens Boots Alliance 17 21 with a correlation of 44%. For a portfolio that is equally invested in Johnson & johnson's and Walgreens' stock, calculate:
a. The expected return. % (Round to two decimal places.)
b. The volatility (standard deviation).
Solution
To calculate the expected return and volatility for a portfolio equally invested in Johnson & Johnson and Walgreens Boots Alliance stocks, we proceed as follows:
a. Expected Return
The expected return of the portfolio () is given by the weighted sum of the expected returns of the individual stocks:
[ E[R_p] = w_1E[R_1] + w_2E[R_2] ]
Where:
- (equal investment),
- (Johnson & Johnson),
- (Walgreens Boots Alliance).
Substitute the values:
So, the expected return is 14.50%.
b. Volatility (Standard Deviation)
The volatility () of the portfolio is given by:
Where:
- ,
- (Johnson & Johnson's standard deviation),
- (Walgreens Boots Alliance's standard deviation),
- (correlation between the stocks).
Substitute the values:
Step-by-step:
- Compute the squared weights: .
- Compute the squared volatilities:
- Compute the first two terms:
- Compute the covariance term:
- Add these together:
- Take the square root:
So, the volatility is approximately 14.20%.
Final Results:
- Expected Return: ,
- Volatility (Standard Deviation): .
Let me know if you'd like additional details or explanations.
Follow-up Questions to Consider:
- How does the correlation between the stocks impact the portfolio volatility?
- What would happen to the portfolio's expected return if the weights were not equal?
- If the correlation were , what would be the portfolio volatility?
- How can diversification reduce portfolio risk in this context?
- What is the significance of the portfolio’s expected return and volatility for an investor?
Tip: Diversification benefits increase as the correlation between assets decreases, reaching a maximum when the correlation is negative.
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Math Problem Analysis
Mathematical Concepts
Portfolio Theory
Expected Return
Volatility
Correlation
Standard Deviation
Formulas
Expected Return: E[R_p] = w_1E[R_1] + w_2E[R_2]
Volatility: σ_p = √(w_1²σ_1² + w_2²σ_2² + 2w_1w_2ρσ_1σ_2)
Theorems
Portfolio Theory
Covariance and Correlation in Portfolio Risk
Suitable Grade Level
Grades 11-12
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