Strategy #0000000066 · Analyst information and expectation changes
Analyst forecast revisions and dispersion
Measure the percent change in consensus and filter signals using a dispersion cap.
Analyst signals include EPS revisions, recommendation changes, target prices, long-term growth expectations and forecast dispersion. Some studies find post-revision drift or lower returns among high-dispersion firms, but definitions and results vary. Consensus can hide outlier analysts and point-in-time availability.
Analyst consensus has coverage bias, conflicts and revision lags; revisions do not guarantee subsequent returns.
Three ways in
Understand the story. Then inspect the risk.
Start with a familiar situation, check the payoff, then test how the numbers change.
The idea · in two minutes
What scenario follows when an EPS consensus revision crosses a threshold and forecast dispersion is acceptable?
Tara’s EPS consensus rises from 4.00 to 4.20, with forecast dispersion at 12%. She sets a 2% revision threshold and 20% dispersion cap.
The simulator calculates the consensus revision rate. It applies an entered directional return and cost only when the revision crosses the threshold and dispersion remains below the cap.
It has no analyst-level revision history and cannot identify bold, consistent or already-priced revisions. Real research needs point-in-time analyst records and company-event controls.
- EPS consensus revisionEnter prior/current EPS consensus, dispersion, thresholds and directional return to see whether a revision signal passes the filter.
- Dispersion filterNo analyst-level, consensus-history or price data; dispersion and subsequent return are assumptions, not forecasts.
- Assumed long-signal return after costsIllustrative expiry outcome.
Illustrative research examples only. They are not live signals or a recommendation.
The mechanics · payoff and exposure
Rev=100\frac{F_t-F_{t-1}}{|F_{t-1}|},\quad Position=\operatorname{sign}(Rev)\;\mathbf{1}(|Rev|\geq q,Disp\leq d)
F_t is current consensus EPS and F_(t−1) prior consensus; q is the revision threshold, Disp forecast dispersion and d its maximum.
Greeks: the directional intuition
- 覆蓋選擇
- Measures sensitivity to implied volatility.
- 更新時間
- Measures sensitivity to implied volatility.
- 分歧解讀
- Measures sensitivity to implied volatility.
Rev=100\frac{F_t-F_{t-1}}{|F_{t-1}|},\quad Position=\operatorname{sign}(Rev)\;\mathbf{1}(|Rev|\geq q,Disp\leq d)
Practical context · published observations
Analyst forecast revisions and dispersion: read the record with its caveats.
The chart uses the published figures or explicitly labelled study inputs below. A historical index or model replay is not the same as an investor’s realised account return.
無分析師明細、歷史共識或股價資料；分歧和後續報酬為假設，並非預測。 Source ↗ · Methodology ↗
Change assumptions and inspect the scenario
Inputs illustrate the strategy mechanics; they are not live quotes, forecasts or investment advice.
Variants · same family, different risk levers
Related methods use different signals and assumptions.
Compare the rule, exposure and implementation limits.
| Related strategy | Relationship | What changes | New cost or risk |
|---|---|---|---|
| Revision drift | EPS upgrades/downgrades | Positions on direction and size of revision. | Earnings news can confound the signal. |
| Analyst dispersion | Optimist pricing | Sorts firms by forecast disagreement. | High disagreement can reflect risk and information gaps. |
| Target-price implied return | Target versus market price | Compares target upside and analyst revisions. | Targets have horizons and conflicts. |
No analyst-level, consensus-history or price data; dispersion and subsequent return are assumptions, not forecasts.
Read beyond the summary
References
Primary sources and research used to describe the strategy and its limits.