Research, Signals, and Methodology in One Place

Signal Decay

The reduction in predictive analytical content carried by a factor timing signal as the time horizon from signal generation extends. A macroeconomic indicator that carries meaningful analytical content for factor performance over the following three to twelve months may carry substantially less useful information over a three-year horizon. Signal decay varies by factor category — momentum-based signals tend to decay more rapidly than valuation-based signals, which carry longer-horizon analytical content. Understanding the decay profile of each signal type is essential for applying factor timing frameworks appropriately, and the platform's methodology documentation explicitly addresses the documented decay characteristics of each published signal.

Regime Conditioning

The analytical process of adjusting how a factor timing signal is scored and interpreted based on the prevailing macroeconomic environment. A valuation spread reading that implies attractive value factor conditions in an expanding credit environment carries different analytical weight than the same reading in a contracting credit environment. Regime conditioning is what distinguishes a dynamic factor timing framework from a simple rules-based signal that applies identical thresholds regardless of context. The platform's regime conditioning layer classifies the current macroeconomic environment across growth momentum, inflation trajectory, credit conditions, and policy stance dimensions before applying signal scoring benchmarks calibrated to comparable historical regimes.

Cross-Sectional Momentum

A systematic factor that captures the tendency of securities that have performed relatively well compared to their peers over a specified historical window to continue outperforming peers over a subsequent period. Cross-sectional momentum is distinct from time-series momentum, which measures a single security's performance relative to its own history. In a factor timing context, cross-sectional momentum signals are conditioned on the macroeconomic and sentiment environments that have historically corresponded to strong or weak realisation of the momentum premium. Sentiment indicators carry particular analytical relevance for momentum timing, given the behavioural mechanisms that underpin the premium's documented persistence.

Information Ratio

A measure of the consistency and magnitude of excess analytical signal performance relative to a defined benchmark, scaled by the variability of that excess over the measurement period. In a factor timing context, the information ratio of a signal framework reflects how consistently the signal adds analytical value — not merely whether it has produced useful readings in isolated historical periods. A high information ratio indicates that signal quality is stable across diverse market environments, not concentrated in a small number of highly favourable regimes. The platform's validation process evaluates information ratios across out-of-sample historical windows and documents the results in signal methodology notes.

Valuation Spread

The difference in valuation multiples between the cheapest and most expensive securities within a factor-sorted universe at a given point in time. Valuation spreads carry documented analytical content for future factor premium realisation — wide spreads have historically corresponded to stronger subsequent value factor returns, while compressed spreads have corresponded to weaker or negative subsequent performance. The platform's valuation signal framework scores current spread readings against their historical distribution within comparable macroeconomic regimes, producing a regime-conditioned signal that reflects not just the absolute spread level but its context within the current economic environment.

Composite Signal Score

The aggregated output of a factor timing framework that combines individual macroeconomic, valuation, and sentiment indicator scores into a single analytically interpretable reading for a given factor category. Composite scores on the platform are produced using documented weighting logic that reflects the relative analytical content of each indicator type for the specific factor being assessed. When individual component scores disagree materially, the composite reflects that disagreement explicitly by producing a moderate or neutral reading rather than resolving the conflict arbitrarily. Both composite scores and individual component scores are visible on the dashboard, allowing members to assess the nature and degree of signal agreement at each update point.

Factor Premium

The excess return historically associated with systematic exposure to a documented risk factor — such as value, momentum, quality, low volatility, or size — relative to the broad market. Factor premiums are empirically documented across multiple asset classes and geographies, but they are not constant. They vary in magnitude across macroeconomic regimes, compress during periods of factor crowding, and occasionally reverse for extended intervals. Understanding that a factor premium exists on average over long samples is analytically distinct from forming a view on whether conditions currently favour that premium being realised in the near term. The platform's timing signals are designed specifically to address the latter question using observable macroeconomic, valuation, and sentiment data.