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U.S. Senate

Sen. John Boozman

Republican · Senator from AR

Commission on Security and Cooperation in EuropeAgriculture, Nutrition, and ForestryAppropriationsEnvironment and Public WorksRules and AdministrationVeterans' Affairs
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on disclosure timeliness, co-trading with other members.

Trades disclosed
387
Aug 29, 2023 to Aug 27, 2026
Companies traded
135
Disclosed value
$786.4K–$6.8M
Sum of reported ranges
Filed after 45 days
3
Median filing lag 26 days

Scorecard

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

T7Disclosure timeliness8 of 387 trades (2.1%) were disclosed late; median lag 26 days.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 0.021, Wilson [0.012, 0.036]; 90th percentile lag 42 days; longest 78 days.

Evidence
Descriptive
Late share
2.1% [1.2%, 3.6%] 90%
0Estimate
This member2.1%
All computed statistics (15)
n387
amendment_rows_excluded0
late8
late_from_trade8
excused_by_notification0
late_share0.0207
late_ci[0.0117, 0.0363]
median_lag26
p90_lag42
max_lag78
filings32
late_filings3
late_priced4
timely_priced291
late_priced_dates2
T13Co-trading with other members16% of trades had another member trading the same stock the same way within a week (chance alone: 11%).Open question

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 0.155; circular-shift null mean 0.109, 95th pct 0.143, p = 0.010. Co-traded signed CAR -0.0162, p = 0.615.

Evidence
Statistical
Co-traded share
15.5%
p-value
0.615
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n387
cotraded_share0.1550
null_mean0.1086
null_p950.1426
excess_p0.0100
cotraded_share_wo_top0.1525
excess_p_wo_top0.0200
cotraded_car-0.0162
cotraded_car_ci[-0.0637, 0.0312]
cotraded_car_p0.6152
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexOpen question15.2%
T1Trade size93% of 387 trades were in the lowest disclosure band ($1,001-$15,000); trades just before large company-specific moves were not larger than usual.Does not fit

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 0.933, 90% Wilson [0.909, 0.951]. 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
93.3% [90.9%, 95.1%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member93.3%
All computed statistics (9)
n387
lowest_band_share0.9328
lowest_band_ci[0.9087, 0.9509]
share_over_50k0.0026
max_z0
size_gap0
size_gap_p1
event_linked20
event_linked_outliers0
T2Breadth and concentration135 different companies; the effective number of equally sized positions is 61 and trading spans 82% of maximum sector diversity.Does not fit

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 0.016 (identified set [0.008, 0.078]); trade-count HHI 0.013 vs. 95th percentile 0.006 of 387 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.82 [0.78, 0.88]. Top three issuers (XFIV, TBLL, EFA) carry at least 2% of dollar volume.

Evidence
Statistical
Effective number of issuers
61 [13, 127] 90%
0Estimate
This member61
All computed statistics (13)
n387
issuers135
hhi_mid0.0163
hhi_bounds[0.0079, 0.0781]
n_eff61.1895
hhi_count0.0125
peer_benchmark_p950.0058
peer_benchmark_p0.0020
sector_entropy0.8188
sector_entropy_ci[0.7784, 0.8799]
top3_share_lower0.0196
top3[XFIV, TBLL, EFA]
top3_tied_to_eventstrue
T3Cadence and event proximity41% of trading days were batches of three or more companies; 19% of trades look routine; 5.2% of trades came within five trading days before a large company-specific move (chance alone: 4.9%).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 44/107, Wilson [0.34, 0.49]; index of dispersion 7.61 (chi-square p = 0); routine share 0.19 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.052 vs. circular-shift null mean 0.049, p = 0.422.

Evidence
Statistical
Batch-day share
41.1% [33.6%, 49.1%] 90%
p-value
0.422
Holm-adjusted p
1.000
BH q-value
0.827
0Estimate
This member41.1%
All computed statistics (14)
n387
trade_days107
batch_share_trades0.7313
batch_day_share0.4112
batch_day_ci[0.3361, 0.4907]
dispersion_index7.6100
dispersion_p0
routine_share0.1938
proximity_share0.0517
proximity_null_mean0.0495
proximity_null_p950.0749
proximity_p0.4220
proximity_nonroutine0.0545
proximity_routine0.0400
T5Direction before market-wide shocksBefore 3 large market moves, the member's net trading pointed the right way 1 times.Does not fit

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 0.33, Clopper-Pearson 90% [0.02, 0.86]; exact one-sided p = 0.875; magnitude-weighted sign-flip p = 0.502. 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
33.3% [1.7%, 86.5%] 90%
p-value
0.875
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member33.3%
All computed statistics (7)
n_episodes3
hits1
hit_rate0.3333
ci[0.0170, 0.8647]
p_exact0.8750
p_magnitude0.5019
episodes[[object Object], [object Object], [object Object]]
T8Committee overlap3% of the member's mapped trading by dollar value was in industries their committees oversee, against 12% 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 JCSE, SSAF, SSAP, SSEV, SSRA, SSVA; jurisdiction sectors Agricultural & Farm Machinery, Agricultural Products & Services, Commodity Chemicals, Construction & Engineering, Construction Materials, Electric Utilities, Environmental & Facilities Services, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care Facilities, Health Care Services, Packaged Foods & Meats, Timber REITs, Water Utilities. Dollar share 0.029 (identified set [0.002, 0.299], bootstrap 0.010-0.064); benchmarks S&P 500 0.119, congressional peers 0.038.

Evidence
Descriptive
Jurisdiction excess share
-9.0% [-10.9%, -5.5%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-9.0%
All computed statistics (15)
n167
in_jurisdiction_trades5
share0.0289
share_bounds[0.0020, 0.2986]
share_ci[0.0102, 0.0638]
benchmark_sp5000.1188
benchmark_peers0.0376
excess-0.0899
excess_ci[-0.1086, -0.0551]
committees[JCSE, SSAF, SSAP, SSEV, SSRA, SSVA]
jurisdiction_sectors[Agricultural & Farm Machinery, Agricultural Products & Services, Commodity Chemicals, Construction & Engineering, Construction Materials, Electric Utilities, Environmental & Facilities Services, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care Facilities, Health Care Services, Packaged Foods & Meats, Timber REITs, Water Utilities]
regression_errorError evaluating factor: TypeError: 'module' object is not callable y ~ J + C(sector) + C(month) ^^^^^^^^^
gamma1–
gamma1_ci[–, –]
gamma1_p–
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 34% 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 -0.0053, 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)
raw-0.0053
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.3358
members_compared134
lower95-0.0058
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
T4Event timing (abnormal returns)Across 295 priced trades, purchases and sales moved 0.53% against the trade's direction relative to the market over the next month on average.Inconclusive (too few trades)

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) = -0.0053; 90% KP interval [-0.0326, 0.0220]; t_BMP = -0.56, r-bar = 0.045, t_KP = -0.15, Patell Z = -0.57, Corrado Z = -0.61. Dollar-weighted identified set [-0.0601, 0.0477]. Calendar-time alpha -5.77%/yr (NW t = -0.62, 647 days).

Evidence
Statistical
Mean signed 21-day CAR
−0.53% [−3.26%, +2.20%] 90%
p-value
0.732
Holm-adjusted p
1.000
BH q-value
0.983
Margin δ
0.5% per trade over 21 days
Robust to variants
No, reading changes under some variants
0δEstimate
This member−0.53%
All computed statistics (16)
n295
theta-0.0053
ci[-0.0326, 0.0220]
p0.5583
t_kp-0.1468
rbar0.0446
se_cs0.0043
se_kp0.0165
t_cs-1.2318
t_bmp-0.5643
patell_z-0.5726
corrado_z-0.6051
dollar_weighted_bounds[-0.0601, 0.0477]
calendar_time[object Object]
calendar_alpha_ci[-8.40e-4, 3.82e-4]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question+0.18%
Horizon 63 daysOpen question−0.15%
Excluding largest batch dateOpen question−0.57%
Self-owned accounts onlyNot assessed–
Dollar-weighted (bounds)Open question+4.77%
Calendar-time alpha (annualized)−5.77%
T6Control and independenceNo documentary record of trading arrangements or absence periods was available.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
No documentary record of trading arrangements or absence periods was available.

Evidence
Not computed
T9Policy-topic overlap2 priced trades fell in affected industries in the 30 days before the member's committee events and 293 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
2 priced trades fell in affected industries in the 30 days before the member's committee events and 293 did not; at least 10 of each are needed to compare them.

Evidence
Descriptive
Margin δ
0.5% per trade
All computed statistics (3)
n2
n_other293
events1878
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 2025-01-14 (permutation p = 0.002).

Evidence
Descriptive
All computed statistics (5)
changepoint2025-01-14
changepoint_LR20.8234
changepoint_p0.0020
tradeday_rate_before0.0722
tradeday_rate_after0.1891
T12Anticipation of large stock moves39 trades were followed within two weeks by a large company-specific move; 22 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 0.56, Clopper-Pearson [0.42, 0.70], exact one-sided p = 0.261; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
56.4% [42.1%, 70.0%] 90%
p-value
0.261
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member56.4%
All computed statistics (6)
n39
hits22
hit_rate0.5641
ci[0.4206, 0.7000]
priced304
share_followed0.1283
T14Family-account tradesOnly 0 trades name the account owner; at least 10 are needed.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
Only 0 trades name the account owner; at least 10 are needed.

Evidence
Not computed
Margin δ
0.5% per trade over 21 days
All computed statistics (1)
owner_unknown387
T15Short-swing round trips54 buy-and-sell round trips within six months; in the month after opening, those positions moved -1.92% in the trade's favour relative to the market.Inconclusive (too few trades)

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
Opening-trade signed CAR(1,21) -0.0192 [-0.0744, 0.0359], t_KP = -0.53, over 38 priced openings. Realized market-adjusted return to the closing trade averaged -1.55% (win rate 42%); it is shown for context only because exit timing is chosen after the fact.

Evidence
Statistical
Opening-trade signed 21-day CAR
−1.92% [−7.44%, +3.59%] 90%
p-value
0.700
Holm-adjusted p
1.000
BH q-value
0.999
Margin δ
0.5% per trade over 21 days
0δEstimate
This member−1.92%
All computed statistics (9)
round_trips54
share_in_round_trips0.2791
priced36
realized_mean-0.0155
realized_win_rate0.4167
opening_car-0.0192
ci[-0.0744, 0.0359]
p0.7005
openings_priced38

Documented episodes

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

Market move on 2025-03-10
–
1 trade(s) in the prior five trading days
-2.66%

S&P 500 (SPY) daily move (Mar 10, 2025)

Wrong way.

Market move on 2025-04-09
–
5 trade(s) in the prior five trading days
+10.5%

S&P 500 (SPY) daily move (Apr 9, 2025)

Right way.

Market move on 2025-04-10
–
7 trade(s) in the prior five trading days
-4.38%

S&P 500 (SPY) daily move (Apr 10, 2025)

Wrong way.

Disclosed trades per monthPurchasesSales
202420252026

Largest positions traded

CompanyTradesDisclosed value
TBLL TBLL12$40K to $250K
GIGB GIGB11$11K to $165K
EFA EFA6$34K to $160K
SHY SHY8$22K to $155K
IEF IEF8$22K to $155K
FTGC FTGC8$22K to $155K
JMBS JMBS10$10K to $150K
VEA VEA7$21K to $140K

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
387 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Aug 27, 2026OTIS OTISPurchase$1,001 to $15Kunknown15 d+0.3%Senate eFD search
Aug 27, 2026IVV IVVSale$1,001 to $15Kunknown15 d–Senate eFD search
Aug 20, 2026JNJ JNJSale$1,001 to $15Kunknown22 d+0.9%Senate eFD search
Aug 20, 2026SPYM SPYMPurchase$1,001 to $15Kunknown22 d−0.0%Senate eFD search
Aug 19, 2026IJR IJRPurchase$1,001 to $15Kunknown23 d–Senate eFD search
Aug 19, 2026AVUV AVUVPurchase$1,001 to $15Kunknown23 d−0.5%Senate eFD search
Aug 19, 2026WWSYX WWSYXSale$15K to $50Kunknown23 d+1.1%Senate eFD search
Aug 13, 2026CEG CEGCommitteeSale$1,001 to $15Kunknown29 d–Senate eFD search
Aug 13, 2026FSLR FSLRPurchase$1,001 to $15Kunknown29 d−1.2%Senate eFD search
Jul 31, 2026CBOE CBOECommitteeSale$1,001 to $15Kunknown17 d–Senate eFD search
Jul 30, 2026PYPL PYPLPurchase$1,001 to $15Kunknown18 d+0.6%Senate eFD search
Jul 23, 2026JPM JPMSale$1,001 to $15Kunknown25 d−0.0%Senate eFD search
Jul 23, 2026SPYM SPYMPurchase$1,001 to $15Kunknown25 d−0.0%Senate eFD search
Jul 9, 2026HD HDSale$1,001 to $15Kunknown39 d−3.5%Senate eFD search
Jul 9, 2026APTV APTVPurchase$1,001 to $15Kunknown39 d–Senate eFD search
Jul 2, 2026TRV TRVSale$1,001 to $15Kunknown46 d+1.6%Senate eFD search
Jul 2, 2026CVX CVXPurchase$1,001 to $15Kunknown46 d+3.7%Senate eFD search
Jul 2, 2026EL ELPurchase$1,001 to $15Kunknown46 d−2.6%Senate eFD search
Jun 25, 2026IGV IGVPurchase$1,001 to $15Kunknown18 d+9.2%Senate eFD search
Jun 25, 2026FTGC FTGCSale$1,001 to $15Kunknown18 d+0.6%Senate eFD search
Jun 25, 2026PALL PALLPurchase$1,001 to $15Kunknown18 d+4.1%Senate eFD search
Jun 25, 2026TPYP TPYPSale$1,001 to $15Kunknown18 d+2.4%Senate eFD search
Jun 17, 2026IEF IEFSale$1,001 to $15Kunknown26 d–Senate eFD search
Jun 12, 2026ATO ATOSale$1,001 to $15Kunknown31 d+0.3%Senate eFD search
Jun 4, 2026UNH UNHPurchase$1,001 to $15Kunknown39 d+3.9%Senate eFD search
Jun 4, 2026BSX BSXSale$1,001 to $15Kunknown39 d+1.5%Senate eFD search
May 27, 2026AGZ AGZPurchase$1,001 to $15Kunknown20 d−0.1%Senate eFD search
May 27, 2026MBB MBBPurchase$1,001 to $15Kunknown20 d−0.1%Senate eFD search
May 27, 2026TLH TLHPurchase$1,001 to $15Kunknown20 d–Senate eFD search
May 27, 2026CMBS CMBSPurchase$1,001 to $15Kunknown20 d−0.3%Senate eFD search
May 27, 2026XFIV XFIVPurchase$1,001 to $15Kunknown20 d−0.2%Senate eFD search
May 27, 2026XTWO XTWOPurchase$1,001 to $15Kunknown20 d−0.1%Senate eFD search
May 27, 2026GIGB GIGBPurchase$1,001 to $15Kunknown20 d−0.0%Senate eFD search
May 27, 2026SCHP SCHPPurchase$1,001 to $15Kunknown20 d–Senate eFD search
May 27, 2026JMBS JMBSPurchase$1,001 to $15Kunknown20 d−0.1%Senate eFD search
May 27, 2026GBIL GBILPurchase$1,001 to $15Kunknown20 d+0.0%Senate eFD search
May 27, 2026IEF IEFPurchase$1,001 to $15Kunknown20 d–Senate eFD search
May 15, 2026ALB ALBPurchase$1,001 to $15Kunknown32 d–Senate eFD search
May 15, 2026PLTR PLTRPurchase$1,001 to $15Kunknown32 d+0.3%Senate eFD search
May 13, 2026XFIV XFIVPurchase$50K to $100Kunknown34 d−0.6%Senate eFD search
May 13, 2026GIGB GIGBPurchase$1,001 to $15Kunknown34 d−0.5%Senate eFD search
Apr 9, 2026DVN DVNPurchase$1,001 to $15Kunknown29 d−8.1%Senate eFD search
Apr 2, 2026CEG CEGCommitteePurchase$1,001 to $15Kunknown36 d−1.0%Senate eFD search
Apr 2, 2026TBLL TBLLSale$1,001 to $15Kunknown36 d+0.0%Senate eFD search
Mar 20, 2026TPYP TPYPSale$1,001 to $15Kunknown25 d−3.6%Senate eFD search
Mar 20, 2026SPYM SPYMPurchase$1,001 to $15Kunknown25 d−0.1%Senate eFD search
Mar 19, 2026BBEU BBEUSale$15K to $50Kunknown26 d+0.7%Senate eFD search
Mar 19, 2026FTGC FTGCPurchase$1,001 to $15Kunknown26 d−0.7%Senate eFD search
Mar 19, 2026VEA VEAPurchase$1,001 to $15Kunknown26 d–Senate eFD search
Mar 19, 2026JNJ JNJSale$1,001 to $15Kunknown26 d−0.0%Senate eFD search