At Axiom Quantitative Partners, risk management is not a separate function or an afterthought; it is fully integrated into the investment process itself. Our quantitative approach to generating returns is mirrored by an equally quantitative approach to capital preservation. The same factor models that drive our security selection are used to measure, monitor, and control portfolio risk with a high degree of precision.

Our primary risk management tool is Forward-Looking Tracking Error. Unlike backward-looking (ex-post) measures, which simply calculate the historical volatility of a past portfolio’s returns against its benchmark, our ex-ante metric provides a predictive estimate of the risk of the current portfolio. This allows us to manage the risks we are taking today, not the risks we took yesterday—akin to navigating with a GPS rather than by looking in the rearview mirror.

Our proprietary factor models are central to this process. We use them to calculate the portfolio’s current exposure to dozens of systematic factors—such as sector concentrations, style tilts (value vs. growth), and overall market beta—relative to the benchmark. This detailed decomposition allows us to see precisely where the portfolio’s active bets are being made and to control the magnitude of those bets.

We define Active Return as the difference between our portfolio’s return and the benchmark’s return:

Active Return = Portfolio’s actual return – Benchmark’s actual return

Tracking error is the standard deviation of this active return. Our goal is to maximize this active return for each unit of tracking error we assume, ensuring that the risks we take are deliberate, measured, and efficiently compensated.