Tracking Error Budget
A tracking error budget is the deliberate allocation of active risk (tracking error — the standard deviation of portfolio returns relative to a benchmark) across different sources of active bets, ensuring the total active risk stays within mandated limits while maximising the information ratio.
Tracking error (TE) measures how closely a portfolio follows its benchmark. A TE of 4% means the portfolio's annual return deviated from the benchmark by approximately 4% in either direction on average. Pure index funds target near-zero TE, while active funds deliberately deviate. The tracking error budget formalises this deviation into a risk management framework: the total TE allowance is apportioned across sector bets, factor tilts, individual stock overweights, and cash positions.
The information ratio (IR = Active Return / Tracking Error) measures efficiency of active risk-taking. A manager with 2% active return and 4% TE achieves an IR of 0.5 — a common benchmark for respectable active management. Top-quartile managers in developed markets historically achieved sustained IRs of 0.5 to 0.75. In India, the higher dispersion of individual stock returns created better conditions for active management, though SPIVA India data showed consistent benchmark outperformance remained elusive for most large-cap managers.
The TE budget cascades from the investment policy statement to the portfolio manager. An Indian large-cap equity fund mandated by SEBI to hold at least 80% in large-cap stocks has limited room for active bets. Its TE typically runs 2–5%, leaving a modest budget. Allocating this budget: suppose 2% TE comes from sector allocation tilts (overweighting financials, underweighting IT), 1.5% from individual stock selection within sectors, and 0.5% from cash positioning. Monitoring these individual contributions ensures no single bet consumes disproportionate active risk.
Factor attribution helps decompose TE into systematic factor exposures (market beta, size, value, momentum, quality) versus idiosyncratic stock-specific bets. A manager whose TE is dominated by market beta relative to the benchmark is not truly adding active value — the excess return, if any, is largely explained by factor loading differences.
For SEBI-registered PMS managers, performance attribution covering active return decomposition became standard practice in client reporting. Large institutional clients such as EPFO, insurance companies, and university endowments explicitly specified TE budgets in their investment guidelines, ensuring mandated active managers operated within agreed risk parameters.