What institutional buying before an earnings surprise tells you

On Korean provisional earnings announcements, institutional net buying in the twenty trading days before the announcement predicts the next sixty trading days of size-adjusted return negatively. The usable form is avoidance, not accumulation: among the strongest surprises, those the institutions had already crowded into underperform the rest.

Korea · provisional earnings announcements · 2011-03-18 to 2026-06-01 · the daily foreign-flow study is here

Full provisional sample
-42.9 bp
per standard deviation · t -2.51 · 17,841 events
After every filter
-33.4 bp
index reviews, dividend cluster and market-wide waves removed · t -2.01
Reporting seasons
61
2011-03-18 to 2026-06-01 · the unit inference is clustered on

Where the effect holds, and where it does not

SampleCoefficienttEvents
Provisional filings-42.9-2.5117,841
Periodic filings-28.5-2.2865,029
All filings pooled-29.5-2.5783,932
Foreign flow, provisional+9.8+0.5920,036

The effect is confined to provisional announcements, the filings that carry genuine news. Periodic reports, which mostly confirm what is already known, show nothing. Neither does foreign flow — the series this project originally set out to use.

Horizon

HorizonCoefficientt
5 trading days-1.0-0.17
20 trading days-5.8-0.57
60 trading days-42.9-2.51

Nothing at five or twenty days, then the whole effect at sixty. Only three horizons were examined, so the search was narrow, but a result living at a single horizon is weaker than one that accumulates.

Why an earlier version of this page said −117.7

The retracted -117.7 bp/SD came from weighting each day equally after discarding days carrying fewer than twenty-five announcements. Both choices push the same way; the sweep below is the evidence.

Minimum announcements per dayCoefficienttDays used
5+7.2+0.121,095
10-57.0-2.11749
15-64.6-2.57515
25-110.1-3.75215
40-107.0-2.0538

Weighting each day equally sounds neutral until the days carry between one and several hundred announcements. Weighting each position equally — what a book actually earns — and clustering on the reporting season gives the figures at the top of this page.

Which investors carry it

Investor categoryCoefficienttFamily-wise p
Securities firms-15.6-0.720.995—
Insurance-31.3-1.190.895—
Investment trusts-4.2-0.211.000—
Private funds-12.1-0.680.995—
Banks-13.1-0.640.995—
Other financial-15.9-0.700.995—
Pension funds-64.7-2.950.045clears
Other corporations+25.2+1.220.880—
Retail+35.2+1.35—reference
Foreign+9.6+0.48—reference

Eight categories were searched at once, so the threshold was set by permutation before the numbers were read: shuffle the baseline within each announcement day, re-estimate the whole family, keep the largest |t|. The bar is 2.91 at the 95th percentile of 200 permutations. Pension funds clear it, and their coefficient is essentially the whole aggregate. Entered together, however, neither survives — the categories are not separable, and the aggregate remains the honest form of the signal.

The usable form is avoidance

ContrastRanked onbp per positiontPositions
Crowded surprises − all surprisesInstitutions, total-33.9-1.223,729
Crowded surprises − all surprisesPension funds-74.3-2.512,027
Crowded surprises − all surprisesRandom ranking (placebo)+10.1+0.383,729
Quiet surprises − all surprisesInstitutions, total+43.2+0.721,245
Quiet surprises − all surprisesPension funds+48.9+0.79794
Quiet surprises − all surprisesRandom ranking (placebo)+32.6+0.611,245

Among the strongest surprises, those institutions had already crowded into underperform the rest. The long side does not work: the random ranking separates the quiet surprises better than the real one does, which is how a contrast that looks promising turns out to be machinery.

Alternative explanations

ModeratorMaintInteractiont
Market capitalisation rank-44.8-2.49+28.2+0.58
Quarterly index review window-38.5-2.39-85.5-1.15
December dividend cluster-44.3-2.35+14.1+0.33
Market-wide institutional buying-39.5-2.35-53.5-0.83

Each threat is one interaction on the full sample rather than a split, so the quantity of interest carries its own standard error. Index rebalancing would have to concentrate the effect in large caps, since the global and domestic benchmarks are large-cap indices; the interaction is small and points the other way. The dividend cluster and the review windows are likewise flat. The one live interaction is market-wide institutional buying, where the effect roughly triples — consistent with mechanical price pressure rather than information, though four interactions were tested and this one does not clear a family-wise threshold on its own.

Stated limitations

Tested and rejected

Method

Sample: provisional filings. Outcome: abn60, winsorised 1/99 within the day. Regressors: surprise + c_mom20 + c_mom60 + c_size + c_vol + c_turn + baseline, rank-standardised within the day. Weighting: one vote per event. Inference: SE clustered on the reporting season. Days carrying fewer than 5 announcements are dropped. Every figure on this page is read from a single results file regenerated from the panel; none is typed by hand.

Generated 2026-09-14 03:00 UTC.