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 predictive signals for Centuri Holdings, Inc. (CTRI) over the 13‑quarter window from 2023Q1 to 2026Q1 reveals an absence of statistically reliable relationships between market dynamics and core fundamentals. Neither 12‑month momentum, realized volatility nor relative strength demonstrated a measurable correlation with revenue growth, margin change, or ROE change; all tests were limited by insufficient sample size (n=4) and consequently lack p‑values or r‑statistics. This suggests that, within the observed period, price movements for CTRI have not systematically incorporated information about its operating performance, limiting the utility of these signals for short‑term fundamental forecasting.
No price signal (momentum, volatility, relative strength) achieved a statistically significant correlation with any fundamental metric for CTRI (all n=4, insufficient data).
The analysis period comprised only 13 quarters, limiting the number of overlapping observations for each signal–outcome pair to four, which precludes reliable estimation of r‑values.
Absent cross-company patterns; CTRI alone shows no predictive relationships, reinforcing the need for broader datasets before drawing general conclusions.
Limitations: Sample size is extremely small (n=4) for each signal–outcome pairing, preventing meaningful statistical significance testing. Correlations, even if observed in larger samples, would not imply causation and may be regime‑dependent; market dynamics during the study period could differ from future conditions. The analysis does not account for exogenous factors (e.g., macroeconomic shifts, sector-specific events) that might disrupt any latent price–fundamental relationships.
CTRI
For Centuri Holdings, the analysis yields zero notable or strong predictive signals across all three price metrics and three fundamental outcomes. The smallest viable subsample (four quarters) is far below the threshold required for robust statistical inference, resulting in 'insufficient' designations for each r‑value. Consequently, investors cannot rely on momentum, volatility, or relative strength to anticipate changes in revenue growth, profit margins, or return on equity for this stock over the next 6–18 months.