What it measures

Sale of common stock (sstk) minus purchase of common stock (prstkc), scaled by average total assets (at) from years t and t-1. Exclude if absolute value of ratio is greater than 1.

Why it should work

External financing: firms that raise capital (issue equity/debt) have historically underperformed those that return it.

Full Sharpe
0.05
Ann. Return (LS)
1.1%
Ann. Volatility
24.4%
Max Drawdown
-67.8%

Growth of $1 — long-short

Technology only · cap-weighted · 331 months

Technology only
Where the edge comes from
Long leg Sharpe
0.63
top bucket, long-only
Long leg ann. return
14.6%
the buyable side
Bottom bucket Sharpe
0.36
the basket we short
Bottom bucket ann. return
13.5%
lower ⇒ wider spread

The bottom-bucket figures are that basket’s ownreturn (a long position in what the strategy shorts) — not the short side’s P&L. Long-short return = long leg − bottom bucket, so a falling bottom bucket widens the spread.

Performance by period
train
val
test
Sharpe by split
Train ’00–’120.15
Val ’13–’180.05
Test ’19–’260.25
Test FF5 α (ann.)
-0.4%
alpha vs Fama-French 5
Test FF5 α t-stat
-0.05
not significant
Monthly turnover
8%
of the long leg, per rebalance

Source study

Bradshaw, Richardson, Sloan · 2006

Journal of Accounting & Economics

798 citationsPublished +0.93%/mo · t 3.82
View on Google Scholar

Worked example

Live inputs for a real holding

AAPL · July 2026
InputValue
ncfcommon-78,196,000,000$
ncfdiv-15,550,000,000$
assets371,082,000,000$
Formula
(ncfcommon + ncfdiv) / assets
Raw-0.2526Signed (×−1)0.2526

signed_value is the internal ranking value; only its cross-sectional rank matters. $-vs-$M unit mix means ratio magnitudes carry a constant offset and are not comparable to textbook levels.

Replication

How closely this rebuild tracks the published research

Replicable
Open Source Asset Pricing signalNetEquityFinance
Correlation — full sample—
Correlation — test window—
Published monthly return0.93%
Published t-stat3.82

The OSAP comparison is only computed for the all-stocks variant — switch to “All stocks” above to see how the rebuild tracks the published series.

Style tilt

Size × value map of the long leg

80 classified
Value
Blend
Growth
Large
Mid
Small
2%8
5%14
91%17
<1%9
<1%8
<1%5
<1%7
<1%4
<1%4

Share of long-leg capital by market cap × book-to-market, using terciles of the 421-name universe at July 2026. Rows: Large ≥ $8.9B, Small < $1.9B. Columns: Value ≥ 0.63, Growth < 0.38 B/M. The dot marks the capital-weighted centroid of the book — 100% toward Large, 95% toward Growth. Hypothetical holdings — descriptive, not realized P&L.

Tilt over time
Size tilt100% → Large
SmallLarge
Value ↔ growth tilt95% → Growth
ValueGrowth

Capital-weighted centroid of the long leg, December 1998 → July 2026; the right-hand end is the same value as the box’s dot. 80 names now. Hypothetical holdings — descriptive, not P&L.

Since publication

Did the edge survive the paper coming out?

published 2006
Before publication (pre-2006)
-0.07
Sharpe · -2.3% p.a.
January 1999 – December 2006 · 96 mo
Since publication
0.12
Sharpe · 2.5% p.a.
January 2007 – July 2026 · 235 mo
Change in Sharpe+0.19the return flipped from negative to positive since publication

Split at January of the year after the factor was published. The post-publication stretch IS genuinely out-of-sample relative to the original study -- the predictor was public by then -- so it speaks to whether the effect survived being known. Nothing is fitted here, so this is performance SINCE PUBLICATION, not validation of a model. Note the 'pre' side is our data before publication (our panel starts ~1999), NOT the study's original in-sample period, which usually ran decades earlier; a decay figure compares before-vs-after within our sample and is not a comparison against the published result.

Derivatives risk (Rule 18f-4)

Relative VaR against the designated reference portfolio — as implemented here

long-short

This assessment describes the research long-short construction — long the top bucket, short the bottom.

Governing rule
Rule 18f-4(c)(2)(i) relative VaR (exception unavailable)

This fund does NOT qualify for the limited-derivatives-user exception (100% of net assets vs <= 10% of net assets), so the relative VaR test governs. Note the inversion: a dollar-neutral long-short book suppresses the market risk the VaR ratio measures and so tends to pass it, while being barred from the exception by construction — what disqualifies the strategy is the exposure threshold, not the risk limit.

Limited derivatives user exceptionby construction

Rule 18f-4(c)(4): a fund whose derivatives exposure (gross notional, including the value of assets sold short) is <= 10% of net assets is excepted from the VaR tests and the full derivatives risk management program.

Does not qualify
Required
<= 10% of net assets
Exposure
100% of net assets
Margin
−90pp

No confidence interval: this follows from portfolio construction, not from an estimate.

Rule 18f-4(c)(2)(i): fund VaR at 99% over 20 trading days must not exceed 200% of the designated reference portfolio's VaR on the same basis.

Not settled by the data
Measured
2.1 (95% CI 1.3-2.4)
x reference VaR
Limit
2.00x
<= 2.00x reference VaR
Fund VaR
20.5%
99% / 20d
Reference
9.6%
FF5 market (mkt)

The interval spans the limit. The point estimate is 2.13x but the 95% interval runs 1.27–2.44x, which includes 2.00x. This test does not settle which side of the line the fund is on.

historical method · 331 monthly observations · about 3.3 in the 99% tail · paired percentile bootstrap over months

Same test, three estimators
historical
2.13x
over
parametric
1.65x
within
cornish fisher
1.83x
within

The estimators disagree about the verdict, not just the value — the choice of method decides the answer here. Historical VaR gives ratio 2.13 (fail) but Gaussian VaR gives 1.65 (pass). The pass/fail conclusion is an artefact of estimator choice, not a property of the strategy.

Engineering approximation of SEC Rule 18f-4 for research display. Not a compliance opinion and not a determination that any fund is compliant. Hypothetical model portfolio, not a registered fund.

Consistency across eras

Is this record broadly durable, or one regime?

26 windows
Positive windows
58%
15 of 26 3-year windows made money
Worst window
-1.24
Sharpe, January 2003 – December 2005
January 1999July 2026
Median Sharpe
0.08
Dispersion
0.59
Best window
1.41

3-year rolling windows, stepping 1 year (26 windows). Dispersion is the spread of window Sharpes — higher means the record depends more on which era you look at.

Rules-based factors fit no parameters, so these windows are not out-of-sample tests and do not validate a fitted model. They show whether the factor's record is consistent across eras or driven by one regime.

Returns

Long-short is the research line; the long leg is what a long-only fund could hold

since January 1999
Trailing
PeriodLong-shortLong leg
1 yearcum.-10.7%31.1%
3 yearsp.a.-13.0%31.3%
5 yearsp.a.6.4%24.0%
10 yearsp.a.1.3%28.4%
Since inceptionp.a.-1.9%12.6%
Calendar years
YearLong-shortLong leg
20267 mo-24.5%14.3%
2025-4.5%28.2%
2024-1.9%45.1%
2023-7.5%60.3%
202253.9%-25.9%
202162.0%38.1%
2020-31.9%46.6%
201914.6%52.4%
2018-16.8%3.4%
2017-7.0%37.7%
201630.2%18.7%
2015-12.8%-1.5%
201415.0%22.6%
2013-3.7%32.0%
2012-5.7%7.1%
201112.7%0.6%
2010-26.0%4.6%
2009-15.3%50.7%
200823.5%-39.3%
20072.5%14.4%
200613.4%10.1%
2005-19.3%-1.3%
2004-19.6%0.1%
2003-16.2%38.3%
200245.5%-30.1%
200148.3%-1.2%
2000-2.6%-35.3%
1999-56.9%60.2%

Long-short is the research line (long the top bucket, short the bottom); the long leg alone is what a long-only fund could actually hold. Trailing figures run through July 2026: 1 year is a plain cumulative 12-month return (cum.), 3 years and longer are annualised (p.a.). Years marked with a month count are partial. These match the fact sheet’s tables by construction. Hypothetical backtest, gross of the placeholder expense ratio and trading costs — not investor results.

Methodology

Signal computed monthly from Sharadar point-in-time data, signed so higher = higher expected return. Restricted to the Technology sector, then sorted into quintiles within that sector. The virtual ETF is long the top bucket, short the bottom, cap-weighted, rebalanced monthly. FF5 alpha regresses the long-short on the Fama-French 5 factors.

Hypothetical research backtest. Not an offer, recommendation, or investment advice.