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U.S. House of Representatives

Rep. Lloyd Smucker

Republican · Representative, PA-11

BudgetWays and MeansJoint Economic Committee
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on trade size, breadth and concentration, event timing (abnormal returns) and more.

Trades disclosed
31
Apr 3, 2017 to Apr 23, 2026
Companies traded
12
Disclosed value
$446K–$1.4M
Sum of reported ranges
Filed after 45 days
4
Median filing lag 36 days

Scorecard

Select a test to see the estimate, interval, adjusted p-values and robustness checks.

T1Trade size52% of 31 trades were in the lowest disclosure band ($1,001-$15,000); trades just before large company-specific moves were not larger than usual.Open question

Question
Are the member's trades unusually large, especially just before news?

Insider signature
Informed trades are large relative to the trader's normal activity, because the profit from an informational edge scales with position size.

Analyst note
Lowest-band share 0.516, 90% Wilson [0.373, 0.656]. Event-linked size gap Delta_z = 0.00 (within-issuer permutation p = 1.000); 0 event-linked trades with z > 3 in bands of $50,001 or more.

Evidence
Statistical
Lowest-band share
51.6% [37.3%, 65.6%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member51.6%
All computed statistics (9)
n31
lowest_band_share0.5161
lowest_band_ci[0.3732, 0.6564]
share_over_50k0.0968
max_z0
size_gap0
size_gap_p1
event_linked1
event_linked_outliers0
T2Breadth and concentration12 different companies; the effective number of equally sized positions is 3 and trading spans 42% of maximum sector diversity.Open question

Question
Is trading concentrated in a few companies rather than spread across a diversified portfolio?

Insider signature
Informed trading concentrates in the few issuers tied to the information.

Analyst note
Dollar HHI 0.335 (identified set [0.177, 0.590]); trade-count HHI 0.220 vs. 95th percentile 0.041 of 31 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.42 [0.32, 0.59]. Top three issuers (FULT, AAPL, ATVI) carry at least 58% of dollar volume.

Evidence
Statistical
Effective number of issuers
3 [2, 6] 90%
0Estimate
This member3
All computed statistics (13)
n31
issuers12
hhi_mid0.3349
hhi_bounds[0.1774, 0.5903]
n_eff2.9861
hhi_count0.2196
peer_benchmark_p950.0406
peer_benchmark_p0.0020
sector_entropy0.4201
sector_entropy_ci[0.3184, 0.5890]
top3_share_lower0.5790
top3[FULT, AAPL, ATVI]
top3_tied_to_eventstrue
T4Event timing (abnormal returns)Across 28 priced trades, purchases and sales moved 1.53% in the trade's direction relative to the market over the next month on average.Open question

Question
Do purchases rise and sales fall more than the market in the weeks after the trade?

Insider signature
Purchases before price rises and sales before price falls.

Analyst note
Mean signed CAR(1,21) = 0.0153; 90% KP interval [-0.1193, 0.1499]; t_BMP = 1.14, r-bar = 0.534, t_KP = 0.20, Patell Z = 1.46, Corrado Z = 0.86. Dollar-weighted identified set [0.0126, 0.0768]. Calendar-time alpha -7.35%/yr (NW t = -0.43, 363 days).

Evidence
Statistical
Mean signed 21-day CAR
+1.53% [−11.93%, +14.99%] 90%
p-value
0.666
Holm-adjusted p
1.000
BH q-value
0.983
Margin δ
0.5% per trade over 21 days
Robust to variants
Yes
0δEstimate
This member+1.53%
All computed statistics (16)
n28
theta0.0153
ci[-0.1193, 0.1499]
p0.4225
t_kp0.1974
rbar0.5343
se_cs0.0137
se_kp0.0790
t_cs1.1137
t_bmp1.1363
patell_z1.4605
corrado_z0.8635
dollar_weighted_bounds[0.0126, 0.0768]
calendar_time[object Object]
calendar_alpha_ci[-0.0015, 8.69e-4]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question+0.17%
Horizon 63 daysOpen question−2.64%
Excluding largest batch dateOpen question+1.38%
Self-owned accounts onlyOpen question+1.53%
Dollar-weighted (bounds)Open question+7.68%
Calendar-time alpha (annualized)−7.35%
T5Direction before market-wide shocksBefore 1 large market moves, the member's net trading pointed the right way 1 times.Open question

Question
Before the market's biggest moves, did the member's trades point the right way?

Insider signature
An informed trader's trades just before a market-moving event point in the direction of the coming move.

Analyst note
Hit rate 1.00, Clopper-Pearson 90% [0.05, 1.00]; exact one-sided p = 0.500; magnitude-weighted sign-flip p = 0.504. Episodes: benchmark days beyond three rolling standard deviations with trades in the prior five trading days, plus documented episodes when supplied.

Evidence
Statistical
Hit rate
100.0% [5.0%, 100.0%] 90%
p-value
0.500
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member100.0%
All computed statistics (7)
n_episodes1
hits1
hit_rate1
ci[0.0500, 1]
p_exact0.5000
p_magnitude0.5042
episodes[[object Object]]
T7Disclosure timeliness12 of 31 trades (38.7%) were disclosed late; median lag 36 days. Another 3 were over 45 days from the trade but filed within 30 days of the stated notification date.Open question

Question
Were trades disclosed within the STOCK Act's 45-day limit?

Insider signature
Delayed disclosure can conceal well-timed trades.

Analyst note
Late share 0.387, Wilson [0.258, 0.534]; 90th percentile lag 185 days; longest 249 days.

Evidence
Descriptive
Late share
38.7% [25.8%, 53.4%] 90%
Robust to variants
Yes
0Estimate
This member38.7%
All computed statistics (15)
n31
amendment_rows_excluded0
late12
late_from_trade15
excused_by_notification3
late_share0.3871
late_ci[0.2579, 0.5345]
median_lag36
p90_lag185
max_lag249
filings7
late_filings3
late_priced10
timely_priced18
late_priced_dates9
Robustness variantReadingEstimate
Late from the trade date alone, ignoring notification datesOpen question48.4%
T3Cadence and event proximity4% of trading days were batches of three or more companies; 0% of trades look routine; 3.2% of trades came within five trading days before a large company-specific move (chance alone: 5.9%).Does not fit

Question
Do trades arrive in routine rebalancing batches, or sporadically just before company news?

Insider signature
Opportunistic trades carry information and routine trades do not.

Analyst note
Batch-day share 1/23, Wilson [0.01, 0.17]; index of dispersion 1.96 (chi-square p = 8.53e-149); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.032 vs. circular-shift null mean 0.059, p = 0.814.

Evidence
Statistical
Batch-day share
4.3% [1.0%, 17.3%] 90%
p-value
0.814
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member4.3%
All computed statistics (14)
n31
trade_days23
batch_share_trades0.1613
batch_day_share0.0435
batch_day_ci[0.0098, 0.1733]
dispersion_index1.9555
dispersion_p0
routine_share0
proximity_share0.0323
proximity_null_mean0.0595
proximity_null_p950.1323
proximity_p0.8140
proximity_nonroutine0.0323
proximity_routine0
T8Committee overlap6% of the member's mapped trading by dollar value was in industries their committees oversee, against 14% for a comparable benchmark.Does not fit

Question
Does the member trade industries their committees oversee, and do those trades do better?

Insider signature
Members may trade on information about industries their committees oversee.

Analyst note
Committees HSBU, HSWM, JSEC; jurisdiction sectors Distillers & Vintners, Health Care, Life & Health Insurance, Tobacco. Dollar share 0.060 (identified set [0.015, 0.217], bootstrap 0.009-0.175); benchmarks S&P 500 0.139, congressional peers 0.119.

Evidence
Descriptive
Jurisdiction excess share
-7.9% [-12.9%, 3.7%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-7.9%
All computed statistics (15)
n28
in_jurisdiction_trades5
share0.0597
share_bounds[0.0154, 0.2174]
share_ci[0.0093, 0.1754]
benchmark_sp5000.1386
benchmark_peers0.1194
excess-0.0790
excess_ci[-0.1293, 0.0368]
committees[HSBU, HSWM, JSEC]
jurisdiction_sectors[Distillers & Vintners, Health Care, Life & Health Insurance, Tobacco]
regression_errorError evaluating factor: TypeError: 'module' object is not callable y ~ J + C(sector) ^^^^^^^^^
gamma1–
gamma1_ci[–, –]
gamma1_p–
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 87% percentile of 134 members (shrunk estimate -0.28% per trade over a month).Does not fit

Question
After accounting for noise, does the member's trading beat that of other members?

Insider signature
A member with an information edge stands out from the cross-section of congressional traders.

Analyst note
Empirical Bayes: raw 0.0153, posterior -0.0028 (sd 0.0015); Congress mean -0.0028, between-member variance 0.000000.

Evidence
Statistical
Shrunk signed 21-day CAR
−0.28% [−0.53%, −0.03%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member−0.28%
All computed statistics (8)
raw0.0153
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.8731
members_compared134
lower95-0.0058
T13Co-trading with other members35% of trades had another member trading the same stock the same way within a week (chance alone: 38%).Does not fit

Question
Does the member trade the same stock in the same direction as other members at the same time more than chance predicts?

Insider signature
Shared nonpublic information spreads through networks and shows up as clustered trades.

Analyst note
Co-traded share 0.355; circular-shift null mean 0.379, 95th pct 0.487, p = 0.700. Co-traded signed CAR 0.0069, p = 0.458.

Evidence
Statistical
Co-traded share
35.5%
p-value
0.458
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n31
cotraded_share0.3548
null_mean0.3790
null_p950.4871
excess_p0.7000
cotraded_share_wo_top0.3548
excess_p_wo_top0.4800
cotraded_car0.0069
cotraded_car_ci[-0.1756, 0.1893]
cotraded_car_p0.4585
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit35.5%
T15Short-swing round tripsNo purchase and sale of the same stock within six months.Does not fit

Question
Does the member buy and sell the same stock within six months, and do those round trips beat the market?

Insider signature
Short-horizon round trips capture a temporary informational edge.

Analyst note
No purchase and sale of the same stock within six months.

Evidence
Descriptive
Margin δ
0.5% per trade over 21 days
All computed statistics (2)
round_trips0
share_in_round_trips0
T16Options and leverageNo option trades were reported.Does not fit

Question
Does the member use options, and do option trades point the right way?

Insider signature
Informed traders favour options because leverage raises the payoff to private information.

Analyst note
No option trades were reported.

Evidence
Descriptive
Margin δ
0.5% per trade over 21 days
All computed statistics (2)
option_trades0
option_share0
T6Control and independenceTrading arrangement: not documented; trading during absence ran at 0.00 times the normal rate.Not assessed

Question
Does the member direct the trades, and does trading change when the member's access to information changes?

Insider signature
The person holding the information directs the trade.

Analyst note
Trading arrangement: not documented; trading during absence ran at 0.00 times the normal rate.

Evidence
Statistical
Absence rate ratio
0.00 [0.00, 59.86] 90%
0Estimate
This member0.00
All computed statistics (6)
rate_ratio0
rate_ratio_ci[0, 59.8614]
rate_ratio_batchdays0
rate_ratio_batchdays_ci[0, 82.0762]
absence_days4
trades_in_absence0
T9Policy-topic overlap5 priced trades fell in affected industries in the 30 days before the member's committee events and 23 did not; at least 10 of each are needed to compare them.Not assessed

Question
Did trades in stocks affected by the member's legislative work come before votes and move the right way?

Insider signature
Trading on knowledge of legislation before it is public.

Analyst note
5 priced trades fell in affected industries in the 30 days before the member's committee events and 23 did not; at least 10 of each are needed to compare them.

Evidence
Descriptive
Margin δ
0.5% per trade
All computed statistics (3)
n5
n_other23
events1493
T10Behavior after scrutinyNo documented scrutiny date; the estimated change point in trading activity is shown for reference.Not assessed

Question
Did trading change after press scrutiny or an ethics inquiry?

Insider signature
A member who trades on information has an incentive to keep control of trading after scrutiny.

Analyst note
No documented scrutiny date; the estimated change point in trading activity is shown for reference. Estimated change point 2020-10-12 (permutation p = 0.002).

Evidence
Descriptive
All computed statistics (5)
changepoint2020-10-12
changepoint_LR28.0185
changepoint_p0.0020
tradeday_rate_before0.0228
tradeday_rate_after0.0014
T12Anticipation of large stock moves2 trades were followed within two weeks by a large company-specific move; 0 were on the profitable side.Inconclusive (too few trades)

Question
When a traded stock made a large unexpected move soon after the trade, was the trade on the right side?

Insider signature
Buying shortly before a large jump or selling shortly before a large drop.

Analyst note
Hit rate 0.00, Clopper-Pearson [0.00, 0.78], exact one-sided p = 1.000; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
0.0% [0.0%, 77.6%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member0.0%
All computed statistics (6)
n2
hits0
hit_rate0
ci[0, 0.7764]
priced28
share_followed0.0714
T14Family-account tradesNo trades were reported in a spouse's or dependent's name.Not assessed

Question
Do trades in a spouse's or dependent's name do better than the member's own?

Insider signature
Routing informed trades through family accounts.

Analyst note
No trades were reported in a spouse's or dependent's name.

Evidence
Descriptive
Margin δ
0.5% per trade over 21 days
All computed statistics (2)
family_trades0
owner_unknown0

Documented episodes

Trades placed near a documented market or policy event, and which way the market moved next.

Market move on 2019-08-05
–
1 trade(s) in the prior five trading days
-3.01%

S&P 500 (SPY) daily move (Aug 5, 2019)

Right way.

Disclosed trades per monthPurchasesSales
201820192020202120222023202420252026

Largest positions traded

CompanyTradesDisclosed value
FULT Fulton Financial Corporation - Common Stock3$250K to $600K
AAPL Apple Inc.13$111K to $440K
ATVI Activision Blizzard, Inc3$31K to $115K
UNH UnitedHealth Group Incorporated Common Stock4$18K to $95K
CNI Canadian National Railway Company1$15K to $50K
WFC Wells Fargo & Company Common Stock1$15K to $50K
MKL Markel Corporation1$1,001 to $15K
PG Procter & Gamble Company1$1,001 to $15K

All disclosed trades

Amounts are the ranges reported on the filing. Late filings are those made more than 45 days after the trade.

JSON · CSV
31 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Apr 23, 2026ENBP ENB FINANCIAL CORP PASale$1,001 to $15Kself7 d−2.1%Filing
Apr 23, 2026FULT Fulton Financial Corporation - Common StockSale$50K to $100Kself7 d+3.8%Filing
Apr 23, 2026PRU Prudential Financial, Inc. Common StockCommitteeSale$1,001 to $15Kself7 d−3.0%Filing
Apr 23, 2026VZ Verizon Communications Inc. Common StockSale$1,001 to $15Kself7 d−1.4%Filing
Apr 23, 2026WFC Wells Fargo & Company Common StockSale$15K to $50Kself7 d−0.7%Filing
Apr 17, 2026FULT Fulton Financial Corporation - Common StockSale$100K to $250Kself13 d+3.2%Filing
Apr 17, 2026FULT Fulton Financial Corporation - Common StockSale$100K to $250Kself13 d+3.2%Filing
Apr 17, 2026TFC Truist Financial Corporation Common StockSale$1,001 to $15Kself13 d+0.4%Filing
Oct 9, 2020AAPL Apple Inc.Sale$15K to $50Kself31 d−0.5%Filing
Jul 22, 2020AAPL Apple Inc.Sale$1,001 to $15Kself110 d+2.6%Filing
Jan 21, 2020ATVI Activision Blizzard, IncSale$15K to $50Kself3 d–Filing
Jan 2, 2020UNH UnitedHealth Group Incorporated Common StockCommitteeSale$15K to $50Kself22 d−0.2%Filing
Dec 3, 2019ATVI Activision Blizzard, IncSale$15K to $50Kself52 d–Filing
Dec 2, 2019AAPL Apple Inc.Sale$1,001 to $15Kself53 d+0.4%Filing
Oct 31, 2019AAPL Apple Inc.Sale$15K to $50Kself85 d−2.3%Filing
Oct 14, 2019AAPL Apple Inc.Sale$15K to $50Kself102 d−0.2%Filing
Oct 14, 2019AAPL Apple Inc.Sale$15K to $50Kself102 d−0.2%Filing
Sep 3, 2019AAPL Apple Inc.Sale$1,001 to $15Kself143 d−1.6%Filing
Jul 31, 2019AAPL Apple Inc.Sale$15K to $50Kself177 d+1.7%Filing
Jul 2, 2019AAPL Apple Inc.Sale$15K to $50Kself7 d+0.7%Filing
Jun 3, 2019AAPL Apple Inc.Sale$15K to $50Kself36 d−2.9%Filing
May 1, 2019AAPL Apple Inc.Sale$1,001 to $15Kself12 d+1.5%Filing
Apr 5, 2019AAPL Apple Inc.Sale$1,001 to $15Kself6 d−0.3%Filing
Mar 18, 2019AAPL Apple Inc.Sale$1,001 to $15Kself24 d−2.2%Filing
Feb 5, 2019UNH UnitedHealth Group Incorporated Common StockCommitteeSale$1,001 to $15Kself97 d+1.7%Filing
Feb 4, 2019UNH UnitedHealth Group Incorporated Common StockCommitteeSale$1,001 to $15Kself98 d+4.1%Filing
Nov 9, 2018UNH UnitedHealth Group Incorporated Common StockCommitteeSale$1,001 to $15Kself185 d+0.8%Filing
Sep 6, 2018ATVI Activision Blizzard, IncSale$1,001 to $15Kself249 d–Filing
Aug 31, 2017CNI Canadian National Railway CompanySale$15K to $50Kself51 d−1.3%Filing
Apr 3, 2017MKL Markel CorporationSale$1,001 to $15Kself201 d−0.6%Filing
Apr 3, 2017PG Procter & Gamble CompanySale$1,001 to $15Kself201 d+0.3%Filing