Dynamic Tracking Error and the Total Portfolio Approach

TL;DR

This paper demonstrates that the Total Portfolio Approach and Strategic Asset Allocation are fundamentally linked through tracking error constraints, with dynamic tracking error offering a unified, flexible framework that adapts to market conditions and governance needs.

Contribution

It introduces the concept of dynamic tracking error as a unifying framework that subsumes traditional approaches and adapts to market and governance dynamics.

Findings

Sharpe ratios are similar across tracking error constraints.

Tracking error volatility varies 12-fold with constraints.

Constraints become more costly during financial crises.

Abstract

The Total Portfolio Approach and Strategic Asset Allocation are widely viewed as competing frameworks for institutional portfolio management. We argue they differ in a single governance parameter: the tracking error constraint. Using U.S. equity and bond data from 2000 to 2026, with portfolio simulations spanning 2004 to 2026, we show that Sharpe ratios are statistically indistinguishable across the full constraint spectrum while the volatility of realized tracking error varies approximately 12-fold. The cost of constraints spikes during crises, when forward returns are richest and governance pressure to de-risk is strongest. Dynamic tracking error subsumes both approaches and provides boards with a more productive framework for investment governance.