Historical Surprise Persistence

Overview

This pillar identifies companies with a persistent history of positive earnings surprises. It's built on the principle that past overperformance and conservative guidance can be strong predictors of future results.

What It Does

It analyzes the serial correlation of a company's earnings per share (EPS) surprises over a rolling 4 to 8 quarter window. The pillar calculates the statistical significance of this trend, flagging companies that repeatedly and predictably outperform analyst consensus estimates. It also assesses management guidance to see if they consistently set low bars they can easily clear.

Why It Matters

The market often underreacts to a single earnings beat but is slow to price in a persistent pattern of them. This creates a recurring predictive opportunity around earnings season, offering an edge in forecasting both the earnings outcome and the subsequent stock price reaction.

How It Works

First, the pillar gathers historical analyst consensus EPS estimates and actual reported EPS for a specific company. It then calculates the percentage surprise for each of the last 8 quarters. Using this time series data, it computes an autocorrelation coefficient to measure the strength of the beat-to-beat trend. Finally, it generates a persistence score based on this correlation and the consistency of management's guidance.

Methodology

The primary metric is the first-order autocorrelation of the earnings surprise series, defined as (Actual EPS - Consensus EPS) / |Consensus EPS|, over a rolling 8-quarter window. A statistically significant positive coefficient (p < 0.10) indicates persistence. A secondary metric, the Guidance Conservatism Ratio, is calculated as (Management's EPS Guidance Midpoint / Analyst Consensus EPS); a ratio consistently below 1 suggests a pattern of conservative guidance.

Edge & Advantage

This pillar provides an edge by systematically identifying companies whose performance is predictably underestimated by the market, moving beyond single-event analysis to find durable trends.

Key Indicators

• Serial Beat Correlation

  high

  Measures the statistical likelihood that a positive earnings surprise in one quarter is followed by another in the next.

• Management Guidance Conservatism Ratio

  medium

  Compares management's forward guidance to analyst consensus; a low ratio suggests easily achievable targets.

• Surprise Magnitude Trend

  low

  Analyzes whether the size of the earnings beat is increasing or decreasing over time.

Data Sources

• FactSet

  Provides institutional-grade historical earnings estimates and actuals.

• Bloomberg Terminal

  A primary source for financial data, including historical consensus estimates and company guidance.

• SEC EDGAR Database

  Official source for corporate 10-Q and 10-K filings containing actual reported earnings.

Example Questions This Pillar Answers

• → Will Apple (AAPL) beat its consensus EPS estimate for the next reported quarter?
• → Will NVIDIA's stock price increase by more than 5% in the 24 hours following its next earnings report?
• → Will the aggregate earnings surprise for the S&P 500 Information Technology sector be positive next quarter?

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