What Is a Coherence Score When Leading and Lagging Indicators Agree?

A Coherence Score measures how strongly leading and lagging market indicators point the same direction at the same time. Given Analytics reads two axes — growth and inflation — scoring each independently, then expresses their agreement as a single readable number: high when indicators align, low when they diverge. It describes present conditions only, never a forecast.

Coherence Score

When the indicators that move first and the indicators that confirm later point the same way, the market's signal is far more reliable than when they split. The Coherence Score is a daily 0-100 reading of exactly that — how strongly leading and lagging economic indicators agree with each other on a given day. Higher means stronger agreement. It is computed every trading day from 21 public Federal Reserve economic series.

Short definition

The Coherence Score answers one question every morning: Are the indicators that usually move first agreeing with the indicators that usually confirm later? When they agree, the current macro regime is coherent. When they disagree, a regime transition may be forming.

To make this easy to interpret, the Coherence Score is grouped into three observational bands:

70-100: ALIGNED — leading and lagging indicators are in strong agreement. The regime is well confirmed by the math.

40-69: WATCHING — moderate agreement. A transition is possible; the math is flagging meaningful disagreement.

0-39: DIVERGING — leading and lagging indicators are pulling apart. Historically, these are the conditions in which regime transitions tend to occur.

The Coherence Score is an observation, not a prediction. It describes what the math observed across 21 economic series this morning. Past conditions are not predictions of future conditions.

Why Coherence Score matters

Most macro commentary treats "the economy" as a single thing moving in a single direction: "the economy is strong," "the economy is slowing," "inflation is rising." Those statements hide the fact that different indicators often tell different stories.

Leading indicators — such as yield curves, credit spreads, breakeven inflation expectations, and consumer sentiment surveys — tend to move early, reacting to conditions that have not yet appeared in official data.

Lagging indicators — such as CPI, PCE, payrolls, and industrial production — move later, confirming or disconfirming what the leading indicators suggested weeks or months earlier.

When these two groups agree, the regime is real and internally consistent. When they disagree, something is changing under the surface. The Coherence Score measures that agreement, in real time, every trading day, using a consistent mathematical method that does not depend on pundit narratives.

For a serious individual investor, the Coherence Score provides a rare, single number that tells you whether the current environment is internally consistent or internally divided. That distinction often separates regimes that tend to persist from regimes that tend to flip.

How Given Analytics computes Coherence Score

The Given engine reads the macro environment along two axes: growth and inflation. For each axis, it scores leading and lagging indicators independently using rate-of-change momentum across a fixed set of series. The divergence between the leading and lagging scores — axis by axis and combined — becomes the Coherence Score.

Growth axis — on the growth axis, the model compares leading-indicator momentum (yield curve behavior, jobless claims, sentiment surveys, weekly economic index readings) against lagging-indicator momentum (payrolls, industrial production, retail sales, housing starts). Divergence here means the growth story is shifting.

Inflation axis — on the inflation axis, the model compares leading-indicator momentum (breakeven inflation expectations, TIPS-implied real rates, commodity prices, oil) against lagging-indicator momentum (core CPI, core PCE, headline CPI and PCE, producer prices). Divergence here means the inflation story is shifting.

When both axes show strong leading-versus-lagging agreement, the Coherence Score prints high (ALIGNED). When either axis shows meaningful divergence, the score moves into WATCHING or DIVERGING.

Calibration and historical behavior

The Coherence Score was calibrated across 152 historical monthly observations from 2005 through 2026, including the Global Financial Crisis, the 2020 pandemic shock, the 2021-2022 inflation cycle, the 2023 disinflation, and the current environment.

Calibration was tuned so that truly coherent regimes score above 70 (ALIGNED), genuinely divided conditions score below 40 (DIVERGING), and most normal days fall between 40 and 69 (WATCHING).

Illustrative historical readings: Lehman Brothers collapse, September 2008 = 0 (DIVERGING). COVID shock, March 2020 = 0 (DIVERGING). Peak inflation, June 2022 = 0 (DIVERGING). Disinflation, June 2023 = 82 (ALIGNED).

These are observed values at those times. The Coherence Score does not claim to have predicted those events in advance; it describes how internally aligned the macro data was during those periods.

Coherence Score vs. Confirmation Score

Given Analytics publishes two distinct agreement metrics every morning, and they measure different things. The Confirmation Score counts how many of the 21 underlying economic series align with the current macro regime classification — a count metric, expressed as a number out of 21 (for example, 18/21). The Coherence Score measures the magnitude and direction of leading-versus-lagging agreement across the growth and inflation axes, calibrated from 0 to 100.

Because they measure different aspects of agreement, you can see meaningful combinations. A high Confirmation Score with a low Coherence Score means most series agree with the regime label, but leading and lagging structures are diverging — the regime is widely supported, but internal timing is conflicted, and a transition may be forming. A low Confirmation Score with a high Coherence Score means fewer series agree with the label, but the ones that matter are aligned on the same side — which can also mark important turning points.

Reading both metrics together tells you more about regime quality than reading either alone. The Morning Brief and member dashboard publish both every weekday.

Why the Coherence Score is proprietary

The concept of measuring leading-lagging agreement is not new. Economists have separated leading, coincident, and lagging indicators for decades.

What is proprietary to Given Analytics is the specific implementation: which 21 series are used and how they are weighted, how rate-of-change momentum is computed for each series, how leading versus lagging is defined within each axis, and how the divergence calculations and calibration constants were derived from 152 historical dates.

Subscribers see the Coherence Score output and its history. The underlying formula remains private, in the same way quantitative funds publish outputs without revealing their internal models.

Historical context

The idea that some indicators move first and others confirm later traces back to work by Arthur Burns and Wesley Mitchell at the National Bureau of Economic Research (NBER), which distinguished leading, coincident, and lagging indicators over the business cycle.

NBER's framework was observational and qualitative. Modern implementations, including the Coherence Score, make that framework quantitative: instead of simply labeling indicators as "leading" or "lagging," the math measures how much they actually lead or lag using rate-of-change behavior, then measures how much those two groups agree or disagree at a given point in time.

The Coherence Score does not attempt to reproduce NBER's business-cycle dating. The NBER dates recessions after the fact. The Coherence Score publishes daily observations of leading-lagging agreement in real time, without labeling or predicting recessions.

How members use Coherence Score

Members of Given Analytics see the Coherence Score on each daily brief, on the live Desk, and in the regime history feed, which shows how coherence has behaved over weeks, months, and years.

A high Coherence Score does not guarantee that the current regime will persist; it means the math sees no internal disagreement right now. A low Coherence Score does not guarantee that a regime transition is imminent; it means the math sees significant internal disagreement.

Coherence is an input to judgment, not a substitute for it. Given Analytics does not issue trade recommendations, buy or sell signals, or price targets based on the Coherence Score. The metric is educational and informational only, consistent with the publisher's exclusion under the Investment Advisers Act of 1940 §202(a)(11)(D).

Related terms

Confirmation Score — count of series aligned with the current regime.

Macro Regime — four-quadrant classification system (Expansion, Acceleration, Stagflation, Contraction) that Coherence and Confirmation support.

Regime Coherence — state of a macro regime when leading and lagging indicators agree.

Four Layer Alignment — the symbol-level method behind flagged conditions.

Rate-of-Change Momentum — underlying method for scoring individual series.

Explore the full glossary for every term.

How to cite

Data and methodology on this page are produced by the Given Analytics engine, calibrated across 152 historical monthly observations from 2005 through 2026. Please attribute references to the "Coherence Score" to Given Analytics. Methodology remains proprietary. Historical observations and current readings are educational only and do not constitute investment advice.

Given Analytics derives each Coherence Score across two macro axes — growth and inflation — updated as new data closes.

Last updated: July 31, 2026