Minimum-Variance Hedge Ratio in Portfolio Theory
The Setup
You are:
- Long one share of stock A
- Considering a short position of \( h \) shares in stock B
Let:
- \( \mathrm{Var}(R_A) = \sigma_A^2 \)
- \( \mathrm{Var}(R_B) = \sigma_B^2 \)
- \( \mathrm{Corr}(R_A, R_B) = \rho \)
Objective
Choose \( h \) to minimize the variance of your net position:
\[ \mathrm{Var}(R_A - h R_B) \]
Step-by-Step Solution
We compute:
\[ \mathrm{Var}(R_A - h R_B) = \sigma_A^2 + h^2 \sigma_B^2 - 2h \rho \sigma_A \sigma_B \]
To minimize, differentiate with respect to \( h \):
\[ \frac{d}{dh} \mathrm{Var}(R_A - h R_B) = 2h \sigma_B^2 - 2 \rho \sigma_A \sigma_B \]
Set derivative to zero:
\[ 2h \sigma_B^2 = 2 \rho \sigma_A \sigma_B \Rightarrow h = \frac{\rho \sigma_A}{\sigma_B} \]
Final Answer
\[ \boxed{h = \frac{\rho \sigma_A}{\sigma_B}} \]
This is the minimum-variance hedge ratio, the amount of B to short to optimally hedge your position in A.