返回 Skill 市场

Earnings Analysis

Post-Earnings Delta Calculation

Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis. Use when analyzing earnings reactions, post-print moves, estimate revisions, or surprise decomposition.

Reviewed by AlphioUpdated 26 days ago<1 min setup

Overview

Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis.

Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis.

Skill.md

How this skill works

Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis. Use when analyzing earnings reactions, post-print moves, estimate revisions, or surprise decomposition.

SKILL.mdALPHIO / VERIFIED

Post-Earnings Delta Calculation

Use This Skill When

  • The user wants to explain why a stock moved after an earnings release.
  • The task requires comparing reported results or guidance against consensus, prior guide, or buy-side expectations.
  • The work needs a surprise bridge, revision read-through, or a view on whether the reaction was proportional.
  • The user needs a reusable post-print framework rather than a loose narrative recap.

Required Inputs

  • company and, if available, ticker
  • reporting period or earnings event date
  • reported results: revenue, gross margin, operating income or margin, EPS, free cash flow, and segment results when relevant
  • expectation baseline: sell-side consensus, company guidance midpoint, whisper number, or prior quarter implied trajectory
  • guidance changes: next-quarter and full-year revenue, margin, EPS, or capex guidance
  • market reaction window: after-hours, next day close, 3-day move, or another explicitly defined period
  • supporting commentary: earnings call, shareholder letter, prepared remarks, or management Q&A
  • If some inputs are missing, proceed with the highest-quality available baseline, explicitly label missing fields, reduce the precision of the conclusion, and do not fabricate surprise magnitudes or driver bridges.

Workflow

  1. Define the event scope: company, quarter, benchmark expectation set, and exact reaction window.
  2. Build a compact reported-versus-expected table for the metrics that actually moved the stock.
  3. Quantify each surprise using absolute difference, percent difference, and basis-point or dollar contribution where possible.
  4. Separate the read into:
    • print quality: revenue, margin, EPS, cash conversion
    • guidance delta: next quarter, full year, and implied exit rate
    • mix and quality: segment mix, pricing, volume, customer concentration, one-time items
    • narrative delta: tone, demand commentary, backlog, competitive remarks, capital allocation signals
  5. Compare the reaction with what was already priced in:
    • prior stock performance into the print
    • consensus versus whisper gap
    • whether the beat was low quality or high quality
    • whether the reaction was driven by forward guide more than the reported quarter
  6. If enough historical data exists, add context:
    • historical beat or miss distribution
    • reaction versus prior earnings events
    • simple z-score or percentile framing
  7. Conclude with the main causal drivers of the move, what remains uncertain, and what to monitor into the next print.

Output Requirements

  • Start with a one-paragraph headline read that answers: what happened, versus what baseline, and why the stock moved.
  • Use explicit labels for Fact, Assumption, and Inference whenever the distinction could be ambiguous.
  • Keep units visible in every quantified statement: %, bps, $, x, or std dev.
  • State the comparison baseline for every surprise metric.
  • Identify whether the move was driven mainly by reported results, forward guidance, mix or quality, management commentary, or expectations positioning.
  • If any important metric is unavailable, add a Missing Data note instead of estimating a number.

Output Template

Post-Earnings Delta

Event Scope

  • Company:
  • Reporting period:
  • Reaction window:
  • Baseline used:

Headline Read

[2-4 sentences on the reported quarter, guidance delta, and principal reason for the stock move.]

Surprise Snapshot

  • Revenue:
  • Gross margin:
  • Operating margin or operating income:
  • EPS:
  • FCF / cash flow:
  • Key segment metrics:

Driver Decomposition

  • Reported-quarter delta:
  • Guidance delta:
  • Mix / quality delta:
  • Commentary delta:
  • Expectations / positioning delta:

Reaction Interpretation

  • What was better than expected:
  • What was worse than expected:
  • Why the reaction appears proportional or disproportional:

Evidence Classification

  • Facts:
  • Assumptions:
  • Inferences:

Missing Data

  • [List any unavailable metrics, baselines, or source limitations.]

What To Monitor Next

  • [3-5 concrete indicators for the next quarter.]

Quality Checks

  • Confirm every surprise figure reconciles to a stated baseline.
  • Check that the narrative explains both the print and the guide, not only one of them.
  • Verify that one-time items are identified before calling a beat "high quality."
  • Ensure the stock-move explanation ranks drivers instead of listing them as equal.
  • Re-read the final output and remove any claim that lacks a source or a clearly marked inference tag.

Guardrails

  • Separate reported facts from inferred drivers at all times.
  • Do not mix consensus, company guidance, and whisper expectations without naming the baseline.
  • Do not invent estimates for missing segment metrics, historical z-scores, or buy-side expectations.
  • Do not claim causality from correlation alone; if the driver is plausible but unproven, mark it as an inference.
  • Avoid false precision when the source data only supports a directional conclusion.

Example Prompts

  • Calculate the post-earnings delta for NVDA and decompose the move into revenue, margin, and guidance drivers.
  • Quantify the earnings surprise for this quarter using z-score and explain whether the stock reaction was proportional.
  • Compare the reported results and updated guide against consensus, then explain the next-day move with a ranked driver bridge.

Best used for

When to use it

Quantify earnings surprise versus expectations using z-score, basis-point bridge, and post-earnings delta analysis. Use when analyzing earnings reactions, post-print moves, estimate revisions, or surprise decomposition.

01 · PRE-MEETING

Prepare a decision brief

The user wants to explain why a stock moved after an earnings release. The task requires comparing reported results or guidance against consensus, prior guide, or buy-side expectations. The work needs a surprise bridge, revision read-through, or a view on whether the reaction was proportional. The user needs a reusable post-print framework rather than a loose narrative recap.

02 · TEAM WORKFLOW

Standardize handoffs

Create consistent research outputs across analysts, portfolio managers, and agents.

03 · LIVE UPDATE

Refresh the thesis

Update scenarios after a new catalyst, KPI release, or earnings result.

Community notes

Built to improve with use.

随着 Skill 被使用与评审,反馈将展示在这里。

Leave feedback

Discover more

Related skills

View all
免费开始