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TOPIC 3.1.26

Earnings Momentum: Post-Earnings-Announcement Drift (PEAD & SUE)

Standardized Unexpected Earnings (SUE), Seasonal EPS Shocks, and Indian Quarterly Earnings Season Trading
DIFFICULTY LEVELAdvanced|TIME TO COMPLETE5-10 Minutes

Introductory Context

"Quantitative Post-Earnings-Announcement Drift (PEAD) strategy on Indian equities using standardized unexpected earnings (SUE) and 4-quarter seasonal surprises."

The Foundational Post-Earnings Anomaly: Why Markets Underreact

When a listed company announces quarterly financial results that significantly exceed institutional consensus expectations, classical Market Efficiency posits that stock prices should instantly adjust to the new fair value. In reality, empirical finance documents one of the most robust and persistent market anomalies: Post-Earnings-Announcement Drift (PEAD).

First documented academically by Ray Ball and Philip Brown (1968) and formalized with quantitative standardization by Rendleman, Jones, and Latané, PEAD demonstrates that stock prices do not complete their adjustment on the earnings announcement day. Instead, they exhibit a gradual, predictable multi-week drift in the direction of the earnings shock as institutional analysts gradually revise price targets and large mutual funds reallocate capital.

Important Key Principle

• The PEAD Rule in One Sentence

Calculate Standardized Unexpected Earnings (SUE) on every public quarterly earnings release. Long the highest positive SUE decile (top beats) and exit/short the lowest SUE decile (severe misses), holding positions across a 1-to-6 month drift horizon.

Mathematical Formulation of SUE (Standardized Unexpected Earnings)

To avoid overweighting high-priced stocks or volatile small caps, earnings surprise must be standardized into a statistical Z-score. A seasonal random-walk model compares the current announced quarterly EPS against the same quarter from the prior year (exact 4-quarter lag):

SUE = (Announced EPS - Prior Year Same-Quarter EPS) / Historical Surprise Volatility (σ)

Where Historical Surprise Volatility (σ) is the standard deviation of seasonal quarterly surprises over the previous 8 quarters:

  • Seasonal Benchmark (4-Quarter Lag): Comparing Q1 FY25 against Q1 FY24 accounts for strong Indian corporate seasonality (e.g. festive Q3 spikes in consumer retail, post-monsoon infrastructure surges).
  • Volatility Normalization: A ₹2.00 EPS surprise for a steady FMCG company with historical variance of ₹0.50 yields an extreme SUE = +4.0, whereas a ₹2.00 surprise in a volatile metal cyclical with variance of ₹5.00 yields a modest SUE = +0.40.
  • Data Exclusion Safeguard: Companies with under 8 quarters of continuous financial history or zero surprise volatility (halted or newly listed IPOs) are strictly dropped to prevent artificial division-by-zero errors.

SEBI Filing Realities & Timestamp Synchronization on NSE

The most common flaw in amateur backtests of PEAD is filing date lookahead bias. Under SEBI Listing Obligations and Disclosure Requirements (LODR):

  • 45-Day Quarterly Window: Indian listed companies have up to 45 days after quarter-end (and 60 days for Q4 annual results) to submit financial statements.
  • Board Meeting Timestamps: Earnings are frequently declared during market hours or post-market (after 3:30 PM IST). Quantitative models must use the exact exchange PDF submission timestamp.
  • Separating the Jump from the Drift: The immediate intraday gap on the announcement day is execution noise. Systematic PEAD strategies deliberately enter on the subsequent session open (Delay-1), capturing the pure institutional multi-week post-announcement drift.

Portfolio Construction & Rebalancing Modes on Indian Equities

Quantitative funds deploy PEAD using two primary execution frameworks:

1. Event-Driven Dynamic Rebalance

Positions are entered dynamically throughout earnings season (January, April, July, October) as corporate filings hit exchange feeds. Each stock is held for a fixed 60-to-90 trading session window.

2. Monthly Batch Rebalance

The portfolio rebalances on the 1st trading day of each month, ranking all active constituents by their most recent eligible SUE score. Stale earnings older than 120 days are pruned automatically.

Worked Indian Example: Quarterly Earnings Surprise Breakdown

Consider an institutional earnings scorecard across 5 representative Indian companies during an active quarterly results season:

Stock Name Reported EPS YoY EPS (Q-4) EPS Shock 8-Quarter σ SUE Score Portfolio Stance
Persistent Systems ₹42.50 ₹31.20 +₹11.30 ₹3.10 +3.65 (Top Beat) LONG (Top Decile)
Trent Ltd ₹18.40 ₹11.80 +₹6.60 ₹2.20 +3.00 (Top Beat) LONG (Top Decile)
Infosys Ltd ₹15.20 ₹14.60 +₹0.60 ₹1.10 +0.55 (In-Line) NEUTRAL / PASS
Kotak Mahindra Bank ₹16.10 ₹17.40 -₹1.30 ₹1.40 -0.93 (Mild Miss) PASS
Zee Entertainment ₹0.85 ₹3.40 -₹2.55 ₹0.80 -3.19 (Severe Miss) AVOID / SHORT

Structural Risk: One-Off Exceptional Items & Accounting Restatements

Raw accounting EPS frequently contains non-operating distortions that can trick automated SUE screeners:

  • Exceptional Gains / Asset Sales: A one-time land sale or tax refund creates a massive artificial EPS spike that will not recur. Models must calculate SUE on Normalized Operating EPS (PAT before exceptional items).
  • Subsequent Restatements: Backtests must never use restated financial figures published months later; algorithms must strictly process the initial"as-reported" exchange submission.

Indian F&O Execution & Liquidity Safeguards

Executing earnings momentum on the National Stock Exchange requires strict liquidity protocols:

  • Universe Filter: Restricted to Nifty 500 or active NSE F&O stock constituents with a minimum 6-month Average Daily Turnover (ADTV) > ₹15 Crore.
  • F&O Ban Period Avoidance: Stocks that experience extreme volatility frequently enter the NSE F&O Ban period (when Market Wide Position Limit or MWPL exceeds 95%). Desks avoid trading fresh derivative legs on banned names.
  • Holding Period Decay: PEAD alpha is highest during the first 30 to 60 trading days post-announcement, steadily decaying after 120 days. Holding stale SUE names past 2 quarters destroys strategy Sharpe ratio.
Important Key Principle

• Backtesting Protocol: Eliminating Announcement Jump Peeking

A valid PEAD backtest must NEVER fill orders at the closing price immediately preceding the announcement. Filling on the pre-announcement close illegally captures the gap-open jump rather than the post-announcement drift. Always enforce a Delay-1 execution rule (fill at subsequent day's Open or VWAP).

Educational and Research Content Only

This strategy documentation is for educational and quantitative research purposes only. Corporate earnings trading involves market risk, liquidity friction, and earnings shock variance. It does not constitute financial advice or investment recommendations. Always consult a SEBI-registered investment advisor before deploying capital.

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Written By: Editorial Team

Disclaimer: While due care has been taken to ensure the accuracy, clarity, and relevance of the information, the content is intended solely for educational purposes. Financial terms and concepts are interpretative tools; readers are strongly advised to verify information from multiple sources and apply their own judgment. This content does not constitute financial, investment, or advisory recommendations of any kind.