Benchmark Basics¶
One-line definition¶
A benchmark is the reference portfolio a manager's holdings and performance are measured against.
Vocabulary¶
- Benchmark weight
w_b: the weight of an asset in the benchmark index. - Portfolio weight
w_p: the weight of an asset actually held. - Active weight
a = w_p - w_b: over/underweight versus the benchmark. Sums to zero when both are fully invested in the same universe. - Active return:
r_p - r_b, the portfolio's return in excess of the benchmark's return. - Tracking error: the volatility of active return — see tracking error.
Why PMs care¶
Almost no institutional mandate is judged on absolute return alone. Sizing, risk budgets, and compensation are usually defined relative to a benchmark, so "am I long or short this name/sector versus the benchmark" is a more common question than "how much of this do I own."
Worked example¶
Portfolio holds 60% US equity / 40% intl equity. Benchmark is 50% / 50%.
Active weights: +10% US equity, -10% intl equity.
If US equity returns 10% and intl equity returns 4% this period:
r_p = 0.6*0.10 + 0.4*0.04 = 0.076
r_b = 0.5*0.10 + 0.5*0.04 = 0.070
active_return = 0.076 - 0.070 = 0.006 (60 bp)
Code recipe¶
def active_weights(portfolio_weights, benchmark_weights):
return np.asarray(portfolio_weights, float) - np.asarray(benchmark_weights, float)
def active_return(portfolio_return, benchmark_return):
return float(portfolio_return - benchmark_return)
Common mistakes¶
- comparing a portfolio to a benchmark it isn't actually mandated against
- forgetting that active weights only sum to zero when portfolio and benchmark share the same universe and are both fully invested
- treating a positive active return in one period as skill rather than noise — see information ratio
Limitations / approximations¶
This page covers vocabulary only. The full quantitative treatment lives
in src/pm/active.py: tracking error,
information ratio,
information coefficient, and the
Fundamental Law (which covers breadth and the
transfer coefficient).
Related¶
Free resources¶
- CFA Institute, Portfolio Risk and Return Part I & II
- Active management resources