Statistics for finance · level 2
Beta two ways
Beta is the slope of the stock on the market. Given covariance, divide by market variance; given correlation, scale the sigma ratio by ρ. Same number.
Worked example: Cov(stock, market) = 72, Var(market) = 90. Beta?
covariance72
market variance90
β0.8
Step by step
- 1
Beta is a regression slope
β = Cov(i, m) / Var(m)
- 2
Divide
72 / 90 = 0.8
- 3
Interpret
The market moves 1%, this stock moves about 0.8%.
Cov(stock, market) = 72, Var(market) = 90. Beta? = 0.8
The theory behind it
Intuition
Beta is covariance with the market divided by market variance — equivalently correlation times the ratio of volatilities.
Common pitfalls
- ×Using total volatility as a proxy for beta.
- ×Estimating beta from too short a window.
In the interview
Cost-of-equity rounds.