Why CRAI’s Chart Patterns Fail to Forecast the Next Quarter

Limited signal coverage leaves price moves largely random

CRAI CRA International, 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

CRA International, Inc. (CRAI) — 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 examination of price‑based technical signals for CRA International (CRAI) over the 45‑quarter window from Q1 2015 to Q1 2026 reveals an absence of statistically meaningful relationships with core fundamentals. Across all three examined signals—12‑month momentum, realized volatility, and relative strength—the correlation coefficients with revenue growth, margin change, and ROE change remain low (|r| ≤ 0.24) and are accompanied by high p‑values (>0.10), indicating weak or negligible predictive power. Consequently, the data do not support a hypothesis that market price dynamics for CRAI systematically embed forward‑looking information about its earnings trajectory within this sample period.

All three signals have |r| ≤ 0.24, well below the notable threshold (|r|≥0.4).
The highest correlation is 12M Momentum vs ROE Change (r=0.238, p=0.133, n=41).
No signal achieves statistical significance at the 5% level; all p‑values exceed 0.10.
Cross‑company analysis shows no consistent predictive pattern emerging for CRAI.

Limitations: The sample size of 45 quarters limits statistical power and inflates confidence intervals. Correlations do not imply causation; observed relationships may be spurious or driven by external macro regimes. Results are regime‑specific to the 2015‑2026 period and may not generalize to future market conditions.

CRAI

For CRA International, none of the three price signals demonstrates a robust link to subsequent fundamental performance. The strongest observed correlation is between 12‑month momentum and ROE change (r=0.238, p=0.133, n=41), which falls below the conventional threshold for statistical significance and is well under the |r|≥0.4 benchmark for notable predictive strength. Similarly, realized volatility shows its highest association with revenue growth (r=0.191, p=0.233, n=41). Relative strength exhibits a modest negative correlation with revenue growth (r=-0.095, p=0.553), further underscoring the lack of reliable signal. The weak magnitudes suggest that any apparent relationship is likely driven by noise rather than an underlying economic mechanism such as price momentum reflecting the market’s anticipation of future earnings.

Price Signals vs Fundamental Outcomes

CRA International, Inc. (CRAI) — Correlation Heatmap

Institutional Flow vs Price Impact

CRA International, Inc. (CRAI) — 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 CRA International, Inc. (CRAI) reveals an ambiguous relationship between fund activity and stock price movements over the 41‑quarter sample. Both predictive and concurrent correlation coefficients are low (|r|≈0.20) and statistically insignificant at conventional thresholds (p>0.10), indicating that institutional trades neither consistently precede nor reliably follow price changes. Consequently, there is no compelling evidence of an informational edge for institutional investors in this security, nor a clear pattern of momentum‑driven trading.

Institutional Flow Metrics

Predictive correlation is low (r = -0.20) and not statistically significant (p > 0.20).
Concurrent correlation is similarly weak (r = 0.18) and non‑significant (p > 0.25).
No clear lead‑lag pattern emerges; institutions appear neither informed nor purely momentum‑driven for CRAI.
The modest sample size of 39–40 quarterly observations reduces statistical power.

Limitations: Quarterly institutional flow data provides limited temporal granularity, obscuring short‑term dynamics. Small sample (≈40 quarters) may not capture regime shifts or rare events that could alter the flow‑price relationship. Correlation does not imply causation; observed relationships could be driven by external market factors.

CRAI

For CRAI the predictive correlation between net institutional inflows and subsequent price returns is r = -0.2049 (p = 0.2108, n = 39), suggesting a weak inverse relationship that fails to achieve statistical significance. The concurrent correlation—flow measured in the same quarter as price movement—is r = 0.1787 (p = 0.27, n = 40), also weak and non‑significant. These results imply that institutional investors do not systematically lead price moves (no clear informational advantage) nor do they simply chase recent performance (no strong momentum behavior). The lack of a robust signal limits the usefulness of flow data as a predictive tool for CRAI in the near term.

Earnings Surprise Patterns

CRA International, Inc. (CRAI) — 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.

CRA International has delivered earnings surprises in roughly three‑quarters of its reporting events, posting a 75.6% beat rate across 45 observations. The average EPS surprise is robust at +17.8%, while revenue tends to exceed expectations by a more modest 6.9%. Despite the high beat frequency, the company shows no streaks of consecutive beats or misses, indicating that each earnings release is largely independent rather than part of a sustained trend. Return dynamics around these events reveal a muted pre‑announcement drift (average +3.37% for positive surprises and +3.33% for negatives), a modest announcement reaction (+3.33% on the day of surprise for beats versus –7.79% for misses), and a small post‑drift lift (+3.68% after positive surprises, +2.86% after negatives). The pre‑drift return does not meaningfully forecast the direction of the surprise, as evidenced by a low correlation (r=0.12) and a false pre‑drift predictive flag.

Returns by Surprise Direction

CRAI beats earnings expectations in 75.6% of events, delivering an average EPS surprise of +17.8%.
Pre‑announcement drift is weak (r=0.12) and does not predict surprise direction, indicating minimal leakage.
Announcement reactions are asymmetric: positive surprises yield modest gains (+3.33%), while negative surprises cause larger declines (–7.79%).
Post‑announcement drifts are small but positive for both beats and misses, suggesting limited delayed price adjustment.

CRAI

CRA International’s earnings history is characterized by frequent positive surprises but limited persistence; the 75.6% beat rate reflects strong forecasting ability, yet the absence of consecutive beats suggests that analysts’ expectations adjust quickly after each release. The return profile shows a slight pre‑announcement uptick that is statistically indistinguishable from noise (pre‑drift correlation r=0.12), implying little evidence of information leakage. On announcement days, positive EPS surprises generate modest upside (+3.33%), whereas negative surprises trigger sharper downside moves (–7.79%). The post‑announcement period exhibits a small continuation effect for both outcomes, hinting at delayed market assimilation but not enough to constitute a reliable drift strategy. Overall, the surprise trend is described as stable, with no clear widening or narrowing over time.

Earnings Surprise Patterns

CRA International, Inc. (CRAI) — Event Study

Multi-Signal Integration

CRA International, Inc. (CRAI) — Signal Coverage

The signal integration review for CRA International, Inc. (CRAI) reveals a sparse predictive landscape. Across the evaluated dimensions—price-fundamental relationships, institutional behavior, pre‑drift patterns, and earnings consistency—the firm exhibits limited forward‑looking signals, with no notable or strong predictors identified in any category. Data quality remains high, indicating that the underlying datasets are reliable, but coverage is low, reflecting a paucity of actionable metrics for forecasting future performance. Consequently, CRAI's behavior appears less patterned relative to peers, limiting the robustness of quantitative predictions over the next 6‑18 months.

CRAI exhibits low overall predictability due to the absence of strong forward‑looking signals despite high data quality.
Signal convergence is limited; the relatively high earnings beat rate does not coincide with any leading price or institutional predictors.
Low coverage across signal categories constrains the ability to construct robust quantitative models for short‑to‑medium term forecasts.

CRAI

Signal inventory for CRA International shows no notable or strong predictive power in price-fundamental signals, and both institutional predictive and pre-drift predictive categories are absent. Earnings consistency is mixed, suggesting occasional alignment with forecasts but lacking a stable trend. Data quality across all examined signal types is rated strong, confirming the reliability of the inputs; however, overall signal coverage is low, indicating that few relevant variables meet the thresholds for statistical significance. The convergence of signals is minimal—where earnings beat rates are relatively high (76%), this does not align with any leading price or institutional indicators, resulting in divergent signal behavior and a modest overall predictability profile.

Signal Discovery Summary

CRA International, Inc. (CRAI) — Summary & Recommendations

The signal discovery analysis applied lagged Pearson correlations to quarterly fundamentals, institutional flow metrics, and earnings‑event windows for CRA International, Inc. (CRAI). Across the permissible sample sizes—minimum eight quarters for price‑fundamental links, five periods for flow data, and four earnings events—no statistically notable predictive relationships emerged; all observed correlation coefficients fell below the |r| ≥ 0.4 threshold for relevance. Consequently, CRAI exhibits a low degree of observable predictability from the tested cross‑asset variables within the 6‑18 month horizon. The broader cross‑company scan likewise failed to uncover any consistent leading signals that operate across multiple securities, underscoring the limited explanatory power of simple bivariate lagged correlations in this dataset.

Predictability Rankings

CRAI low

No statistically notable predictive signals were identified for CRAI within the tested data windows.

Monitoring Recommendations

Track quarterly earnings releases and guidance updates, as these remain primary drivers of price movement.
Observe macro‑level consulting demand indicators (e.g., corporate capex plans, M&A activity) that may indirectly affect revenue trends.
Monitor changes in institutional ownership disclosed in Form 13F filings for potential shifts in market sentiment.

Key Takeaways

1. The analysis found no lagged fundamental or flow variables with |r| ≥ 0.4 for CRAI, indicating weak predictive power.
2. Cross‑company patterns were absent; no signal demonstrated consistency across the sample set.
3. Simple Pearson correlations are insufficient to capture complex drivers of CRAI’s stock performance.
4. Small sample sizes (minimum 8 quarters) limit statistical confidence and may mask longer‑term relationships.

The study relies on bivariate Pearson correlation with limited observations, so results are vulnerable to sampling error, regime shifts, and omitted variable bias. Correlation does not imply causation, and the absence of significant findings does not prove that predictive relationships do not exist; more sophisticated multivariate or non‑linear models may be required for deeper insight.

CRAI

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Report written 2026-06-07 • Finexus

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