Enact’s Earnings Beat Streak Becomes a Market Forecast

High‑signal coverage suggests surprises are priced in well before the report

ACT Enact Holdings, Inc.

In this report

01

Price Signals vs Fundamentals

Momentum, volatility, relative strength → revenue, margin, ROE

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02

Institutional Flow Impact

Ownership changes vs price returns — leading or lagging?

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03

Earnings Surprise Patterns

Beat rates, pre-drift, announcement reactions, post-drift

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04

Multi-Signal Integration

Signal coverage and data quality assessment

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05

Signal Discovery Summary

Top signals, cross-company patterns, monitoring recommendations

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Price Signals vs Fundamental Outcomes

Enact Holdings, Inc. (ACT) — Signal-Fundamental Correlation

How to read this section: We test whether three price-based signals — 12-month momentum (trailing stock return), realized volatility (annualized standard deviation of daily returns), and relative strength (stock return minus S&P 500 return) — predict next-quarter fundamental outcomes: revenue growth, operating margin change, and ROE change (all year-over-year to remove seasonality). Each cell shows the Pearson correlation (r) between signal at quarter Q and outcome at quarter Q+1. Values closer to +1 or −1 indicate stronger predictive relationships. “n” is the number of quarterly observations.

The analysis examines the relationship between three common price‑based signals—12‑month momentum, realized volatility, and relative strength—and three fundamental outcomes: revenue growth, margin change, and ROE change for Enact Holdings, Inc. (ACT) over a 29‑quarter window (2019Q1‑2026Q1). The strongest predictive relationship observed is between 12‑month momentum and subsequent revenue growth (r=0.48, n=14, p=0.084), which reaches the threshold for a notable correlation. Realized volatility shows a modest inverse link to margin change (r=-0.45, n=14, p=0.107), also notable, while all other signal‑outcome pairs are weak or statistically insignificant. No consistent cross‑company patterns emerge because ACT is the sole firm in this set, but the observed links align with theoretical expectations that price momentum can capture market participants’ anticipation of earnings expansion, whereas heightened volatility may signal uncertainty that depresses profitability margins.

12‑month momentum correlates notably with revenue growth (r=0.48, n=14, p=0.084).
Realized volatility inversely relates to margin change (r=-0.45, n=14, p=0.107).
All relative strength correlations are weak and insignificant (|r|≤0.10, p>0.70).
Momentum’s links to ROE change and margin change are weak (r≈0.24–0.31) and not statistically significant.

Limitations: The sample size for each correlation is limited to 14 observations, reducing statistical power. Correlations do not imply causation; observed relationships may be driven by omitted variables or market regime shifts. The analysis covers a single company, so findings cannot be generalized without additional cross‑company data.

ACT

For Enact Holdings, the 12‑month momentum indicator modestly predicts revenue growth (r=0.48) and does so with a p‑value just above conventional significance, suggesting that upward price trends often precede periods of top‑line expansion. This is consistent with the notion that investors price in expected sales acceleration before it appears in earnings releases. Conversely, realized volatility exhibits an inverse relationship with margin change (r=-0.45), implying that periods of larger price swings tend to coincide with shrinking profitability, perhaps reflecting market concerns about cost pressures or execution risk. The remaining signal‑outcome pairs—momentum versus margin and ROE, volatility versus revenue and ROE, and relative strength across all fundamentals—show weak correlations (|r|<0.31) and lack statistical significance, indicating limited predictive utility for those dimensions in the current sample.

Price Signals vs Fundamental Outcomes

Enact Holdings, Inc. (ACT) — Correlation Heatmap

Institutional Flow vs Price Impact

Enact Holdings, Inc. (ACT) — Institutional Flow Analysis

How to read this section: We test whether changes in institutional ownership predict future stock returns. Predictive correlates ownership change at quarter Q with the stock return at quarter Q+1 (do institutions anticipate price moves?). Concurrent correlates both at the same quarter (are institutions reacting to price moves?). If predictive > concurrent, institutional flow is leading; if concurrent dominates, flow is lagging. Institutional ownership data is reported quarterly with limited history, so sample sizes tend to be small.

The institutional flow analysis for Enact Holdings, Inc. (ACT) indicates that the relationship between fund activity and price movements is primarily concurrent rather than predictive. The concurrent correlation of r = -0.1361 (n = 18, p = 0.5904) exceeds the predictive correlation of r = -0.0226 (n = 17, p = 0.9315) by more than the 0.1 threshold set for classification, suggesting that institutional investors tend to react to price changes rather than anticipate them. Both correlations are weak and statistically insignificant, implying limited informational advantage from tracking institutional flow alone over the next 6‑18 months.

Institutional Flow Metrics

Institutional activity for ACT is classified as concurrent, meaning funds generally follow price changes.
Both predictive (r = -0.0226) and concurrent (r = -0.1361) correlations are weak and statistically insignificant.
The concurrent correlation exceeds the predictive threshold by >0.1, supporting a momentum‑following interpretation.

Limitations: Quarterly institutional flow data provides limited granularity, reducing sensitivity to short‑term dynamics. Small sample sizes (n = 17‑18) increase estimation error and limit confidence in statistical significance. Correlation does not imply causation; observed relationships may be driven by external market factors.

ACT

For Enact Holdings, the concurrent signal (r = -0.1361) modestly exceeds the predictive signal (r = -0.0226), classifying institutional activity as a follower of price moves. The negative sign indicates that net inflows tend to occur after price declines, consistent with a momentum‑following behavior rather than an informed buying pattern. However, the weak magnitude and high p‑values (>0.05) mean that these relationships are not statistically reliable; investors should treat institutional flow as a coincident indicator at best.

Earnings Surprise Patterns

Enact Holdings, Inc. (ACT) — Earnings Surprise Profile

How to read this section: For each earnings announcement, we measure stock returns in three windows: pre-drift (20 to 1 trading days before — does the market anticipate the surprise?), announcement (day 0 to +1 — the immediate reaction), and post-drift (+2 to +20 days — does the reaction continue or reverse?). Events are classified as positive (>2% EPS surprise), negative (<−2%), or inline. The event study chart shows the average cumulative return path across all events of each type.

Enact Holdings, Inc. (ACT) has demonstrated a strong earnings beat record over 18 reporting events, posting an 83.3% beat rate and delivering an average EPS surprise of 14.31%, well above the market norm. The company’s revenue surprises are modest but positive at an average of 1.39%, indicating that top‑line expectations are generally met or slightly exceeded. Return dynamics surrounding earnings releases reveal a pronounced pre‑announcement drift (average +4.16% for positive surprises) and a smaller, yet still positive, post‑drift (+2.89%), while the announcement day itself yields only a modest incremental move (+0.36%). The narrowing surprise trend suggests that unexpected components of earnings are diminishing over time, potentially reflecting improved analyst coverage or more accurate consensus forecasts.

Returns by Surprise Direction

ACT’s 83.3% beat rate and 14.31% average EPS surprise signal strong earnings momentum.
Pre‑announcement drift of +4.16% for positive surprises, with a pre‑drift correlation of 0.5853, indicates meaningful predictive power of prior returns.
Announcement day price reaction is minimal (+0.36%), suggesting most earnings information is priced in beforehand.
The narrowing surprise trend reflects decreasing unexpected components, potentially due to better analyst coverage.

ACT

The high beat rate (83.3%) and sizable EPS outperformance (+14.31% on average) point to a pattern of earnings that consistently exceed expectations, albeit with limited streaks of consecutive beats or misses, indicating variability in timing rather than sustained over‑performance. The pre‑drift return of +4.16% for positive surprises, coupled with a statistically significant pre‑drift correlation of 0.5853, supports the hypothesis of information leakage or anticipatory trading; investors appear to price in earnings strength ahead of the formal release. However, the announcement reaction is muted (+0.36%), implying that most of the informational content has already been incorporated into prices before the official filing, while the post‑drift (+2.89%) suggests a residual adjustment as final details are digested.

Earnings Surprise Patterns

Enact Holdings, Inc. (ACT) — Event Study

Multi-Signal Integration

Enact Holdings, Inc. (ACT) — Signal Coverage

The signal integration for Enact Holdings, Inc. (ACT) reveals a mixed but informative predictive landscape. While institutional forward‑looking indicators are absent, the pre‑drift predictive framework supplies notable insights, particularly through price‑fundamental relationships. High coverage and strong data quality across the examined signals enhance confidence in observed patterns, though the modest sample size (n=14) tempers statistical robustness. Overall, ACT exhibits a moderate degree of predictability: the strongest price signal—12‑month momentum correlating with revenue growth at r=0.48—is notable but falls short of the strong threshold (|r|≥0.6). The convergence of multiple signals around earnings beats (83% beat rate) suggests some consistency, yet mixed earnings consistency introduces divergence that could limit forecasting precision in the near term.

Enact Holdings possesses high‑quality, well‑covered price‑fundamental signals despite the absence of institutional predictive data.
The strongest observed relationship (12M Momentum ↔ Revenue Growth) is notable but below strong correlation thresholds, indicating moderate predictive power.
Signal convergence around earnings beats supports a degree of patterning, yet mixed earnings consistency introduces divergence that may limit short‑term forecasting reliability.

ACT

Enact Holdings shows two notable price‑fundamental signals, with the leading indicator being a 12‑month momentum metric that correlates with revenue growth (r=0.48, n=14). Data quality for these signals is rated strong, and coverage is high, indicating reliable and comprehensive measurement across reporting periods. Institutional predictive signals are not present, but pre‑drift predictive signals exist, providing forward‑looking insight before earnings releases. The signals demonstrate partial convergence: the momentum‑revenue link aligns with an 83% earnings beat rate, reinforcing a pattern of positive surprise. However, mixed earnings consistency introduces divergence, suggesting that while price momentum often anticipates revenue growth, it does not uniformly translate into consistent earnings outcomes.

Signal Discovery Summary

Enact Holdings, Inc. (ACT) — Summary & Recommendations

The signal discovery exercise for Enact Holdings, Inc. (ACT) identified three statistically notable relationships between market‑based variables and fundamental outcomes over the past 14 quarterly observations. The strongest forward‑looking indicator is the 12‑month price momentum, which correlates with subsequent revenue growth at r=0.48 (n=14), suggesting that higher recent stock performance tends to precede modest top‑line expansion. A second notable signal links realized price volatility to margin dynamics, yielding a negative correlation of r=-0.45 (n=14); periods of heightened price swings are associated with subsequent compression in operating margins. Finally, the pre‑drift return—a measure of short‑term excess return before earnings—exhibits a predictive relationship with earnings surprise at r=0.5853, crossing the threshold for strong significance and indicating that abnormal returns in the days leading up to an announcement contain information about unexpected earnings outcomes. Although these correlations meet the study's predefined relevance criteria (|r| ≥ 0.4), they remain bivariate and are derived from a limited sample of fourteen quarters, which constrains statistical power and raises the risk of over‑fitting to recent market regimes. No cross‑company patterns emerged because ACT was the sole firm examined; therefore, broader generalizations about signal efficacy across the sector cannot be drawn at this stage. For investors, the findings imply that monitoring ACT’s price momentum, realized volatility, and pre‑drift return can provide early clues about future revenue trajectories, margin pressure, and earnings surprises. However, any trading or allocation decisions should treat these signals as supplementary inputs rather than deterministic forecasts, given the inherent uncertainty of lagged relationships and potential regime shifts. Overall, while ACT exhibits a moderate degree of predictability through market‑derived metrics, the limited data horizon and untested multivariate interactions mean that signal reliability may evolve as new quarters are added. Continuous validation against out‑of‑sample periods will be essential to confirm whether these patterns persist.

Predictability Rankings

ACT moderate

12‑month momentum and pre‑drift returns show notable to strong correlations with revenue growth and earnings surprise, respectively.

Monitoring Recommendations

Track the 12‑month price momentum of ACT as a leading indicator for revenue trends.
Observe realized volatility levels to anticipate potential margin compression.
Analyze pre‑drift returns in the days preceding earnings releases to gauge surprise risk.
Re‑estimate correlations quarterly to detect regime changes or signal decay.

Key Takeaways

1. ACT’s 12M momentum correlates positively with revenue growth (r=0.48, n=14).
2. Higher realized volatility predicts margin contraction (r=-0.45, n=14).
3. Pre‑drift return is a strong predictor of earnings surprise (r=0.5853).
4. All findings are based on bivariate analysis with limited sample size; multivariate effects remain unexplored.
5. No cross‑company signal patterns were identified, limiting broader sector inference.

The analysis relies on Pearson correlations between lagged market variables and quarterly fundamentals, using a minimum of eight observations for price–fundamental links. Correlations meeting |r| ≥ 0.4 are flagged as notable, but causality cannot be inferred, sample sizes are small (n=14), and relationships may be regime‑dependent. Multivariate interactions were not examined, so observed bivariate signals could be confounded by omitted variables.

ACT

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Report written 2026-06-07 • Finexus

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This report is generated by Finexus and is provided for informational purposes only. It does not constitute investment advice, a recommendation, or an offer or solicitation to buy or sell any security.

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