Seohan Annual Report Amendment (2025.12)
서한
011370
Financial Impact
NEUTRAL
Historical Market Reaction
Based on n=3,761 similar Earnings Release events
Historically strongest in Large Cap stocks during Bull Market conditions.
Grade C
How we grade signals
Score = risk-adjusted return (median 5D ÷ volatility, Sharpe-style), scaled by sample confidence (n/300, max 40% boost).
Grade reflects risk-adjusted consistency, not absolute return size. A lower-return but stable event type may outgrade a high-variance one.
Hit Rate
5D Hit Rate
43.0%
stocks positive after 5 days
20D Hit Rate
57.9%
stocks positive after 20 days
Alpha vs Benchmark
(KOSPI / KOSDAQ)Alpha 5D
+0.2%
trimmed avg vs index
Alpha 20D
-2.3%
median -3.6%
Trimmed alpha excludes extreme outlier events (top/bottom 5%) to better represent typical market behavior.
20D Return Distribution
By Market Cap
Large Cap
> ₩1T mktcap
Hit Rate
5D / 20D
Alpha 20D
+1.5%
trimmed avg
n=640
Mid Cap
₩100B–₩1T
Hit Rate
5D / 20D
Alpha 20D
-3.0%
trimmed avg
n=328
Small Cap
< ₩100B mktcap
Hit Rate
5D / 20D
Alpha 20D
-3.1%
trimmed avg
n=2,642
Market cap buckets: Large > ₩1T · Mid ₩100B–₩1T · Small < ₩100B (at time of filing). Min. 30 events per bucket shown.
By Market Regime
(KOSPI 20D prior trend)Bull Market
KOSPI 20D > +5%
Hit Rate
5D / 20D
Alpha 20D
-0.8%
trimmed avg
n=2,742
Neutral
KOSPI 20D ±5%
Hit Rate
5D / 20D
Alpha 20D
-5.1%
trimmed avg
n=887
By Volatility Regime
(KOSPI 20D rolling std)High Vol
KOSPI 20D std > 1.2%
Hit Rate
5D / 20D
Alpha 20D
-2.7%
trimmed avg
n=3,074
Normal Vol
0.6%–1.2%
Hit Rate
5D / 20D
Alpha 20D
-0.6%
trimmed avg
n=536
Based on DART filings since Jan 2025. Past market reactions do not guarantee future results.
Signal grade: risk-adjusted return (median 5D ÷ vol, Sharpe-style) × sample confidence — A≥75 / B≥60 / C≥45 / D≥30. Click the grade badge for details.
How This Event Is Evaluated
Earnings Evaluation
Earnings events are evaluated by comparing profitability, growth, margin direction, and one-off factors against market expectations.
AI is used to interpret disclosures and extract structured data.
Signal scores are generated using event-specific methodologies and quantitative models.
- Revenue and profit growth
- Operating margin direction
- Net income quality
- One-off gains or losses
AI Summary
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Key Numbers
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Risk Factors
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Signal Strength