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
-0.04
Ann. Return (LS)
-1.1%
Ann. Volatility
28.8%
Max Drawdown
-87.5%

Growth of $1 — long-short

Healthcare only · cap-weighted · 331 months

Healthcare only
Where the edge comes from
Long leg Sharpe
0.58
top bucket, long-only
Long leg ann. return
8.4%
the buyable side
Bottom bucket Sharpe
0.30
the basket we short
Bottom bucket ann. return
9.4%
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–’120.08
Val ’13–’18-0.11
Test ’19–’26-0.08
Test FF5 α (ann.)
-10.3%
alpha vs Fama-French 5
Test FF5 α t-stat
-1.49
not significant
Monthly turnover
7%
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

91 classified
Value
Blend
Growth
Large
Mid
Small
14%10
46%28
39%19
<1%6
<1%5
<1%5
<1%5
<1%7
<1%4

Share of long-leg capital by market cap × book-to-market, using terciles of the 499-name universe at July 2026. Rows: Large ≥ $3.6B, Small < $964M. Columns: Value ≥ 0.67, Growth < 0.37 B/M. The dot marks the capital-weighted centroid of the book — 100% toward Large, 63% toward Growth. Hypothetical holdings — descriptive, not realized P&L.

Tilt over time
Size tilt100% → Large
SmallLarge
Value ↔ growth tilt63% → 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. 91 names now. The faded start covers early months with a much thinner universe. Hypothetical holdings — descriptive, not P&L.

Since publication

Did the edge survive the paper coming out?

published 2006
Before publication (pre-2006)
-0.02
Sharpe · -0.8% p.a.
January 1999 – December 2006 · 96 mo
Since publication
-0.05
Sharpe · -1.2% p.a.
January 2007 – July 2026 · 235 mo
Change in Sharpe−0.03Sharpe weakened 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
2.3 (95% CI 1.3-3.0)
x reference VaR
Limit
2.00x
<= 2.00x reference VaR
Fund VaR
21.8%
99% / 20d
Reference
9.6%
FF5 market (mkt)

The interval spans the limit. The point estimate is 2.27x but the 95% interval runs 1.27–2.96x, 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
2.27x
over
parametric
1.97x
within
cornish fisher
2.46x
over

The estimators disagree about the verdict, not just the value — the choice of method decides the answer here. Historical VaR gives ratio 2.27 (fail) but Gaussian VaR gives 1.97 (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
38%
10 of 26 3-year windows made money
Worst window
-0.54
Sharpe, January 2003 – December 2005
January 1999July 2026
Median Sharpe
-0.11
Dispersion
0.38
Best window
0.92

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.-27.2%29.9%
3 yearsp.a.-13.4%9.1%
5 yearsp.a.2.8%6.9%
10 yearsp.a.-5.2%10.1%
Since inceptionp.a.-5.3%7.6%
Calendar years
YearLong-shortLong leg
20267 mo-5.8%6.6%
2025-26.4%16.1%
2024-0.3%2.2%
2023-10.3%2.4%
202244.6%-0.2%
202156.7%25.7%
2020-39.9%14.0%
2019-23.6%19.2%
201836.0%7.4%
2017-26.7%20.8%
20168.8%-0.7%
2015-3.6%6.1%
2014-22.4%21.6%
2013-13.8%34.9%
2012-5.3%19.1%
2011-2.1%9.9%
2010-3.0%2.1%
2009-5.3%14.6%
200814.2%-21.7%
20076.0%6.0%
2006-0.8%5.2%
20057.8%8.0%
2004-4.9%1.1%
2003-30.9%15.3%
200226.7%-21.4%
2001-4.6%-14.1%
2000-20.5%43.8%
1999-28.9%-7.2%

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 Healthcare 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.