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U.S. Senate

Sen. Katie Boyd Britt

Republican · Senator from AL

Commission on Security and Cooperation in EuropeAppropriationsBanking, Housing, and Urban AffairsJudiciaryRules and Administration
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on disclosure timeliness.

Trades disclosed
24
Jul 24, 2024 to Jan 28, 2026
Companies traded
13
Disclosed value
$24K–$360K
Sum of reported ranges
Filed after 45 days
1
Median filing lag 271 days

Scorecard

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

T7Disclosure timeliness22 of 24 trades (91.7%) were disclosed late; median lag 271 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 0.917, Wilson [0.777, 0.972]; 90th percentile lag 287 days; longest 287 days.

Evidence
Descriptive
Late share
91.7% [77.7%, 97.2%] 90%
0Estimate
This member91.7%
All computed statistics (15)
n24
amendment_rows_excluded0
late22
late_from_trade22
excused_by_notification0
late_share0.9167
late_ci[0.7769, 0.9720]
median_lag271
p90_lag287
max_lag287
filings3
late_filings1
late_priced22
timely_priced2
late_priced_dates3
T1Trade size100% of 24 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 1.000, 90% Wilson [0.899, 1.000]. 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
100.0% [89.9%, 100.0%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member100.0%
All computed statistics (9)
n24
lowest_band_share1
lowest_band_ci[0.8987, 1]
share_over_50k0
max_z0
size_gap0
size_gap_p1
event_linked3
event_linked_outliers0
T2Breadth and concentration13 different companies; the effective number of equally sized positions is 11 and trading spans 79% 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 0.090 (identified set [0.077, 0.474]); trade-count HHI 0.090 vs. 95th percentile 0.049 of 24 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.79 [0.78, 0.84]. Top three issuers (AAPL, AMZN, NVDA) carry at least 4% of dollar volume.

Evidence
Statistical
Effective number of issuers
11 [2, 13] 90%
0Estimate
This member11
All computed statistics (13)
n24
issuers13
hhi_mid0.0903
hhi_bounds[0.0769, 0.4745]
n_eff11.0769
hhi_count0.0903
peer_benchmark_p950.0486
peer_benchmark_p0.0020
sector_entropy0.7905
sector_entropy_ci[0.7847, 0.8395]
top3_share_lower0.0385
top3[AAPL, AMZN, NVDA]
top3_tied_to_eventstrue
T3Cadence and event proximity60% of trading days were batches of three or more companies; 0% of trades look routine; 12.5% of trades came within five trading days before a large company-specific move (chance alone: 7.1%).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 3/5, Wilson [0.27, 0.86]; index of dispersion 7.63 (chi-square p = 0); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.125 vs. circular-shift null mean 0.071, p = 0.286.

Evidence
Statistical
Batch-day share
60.0% [27.2%, 85.7%] 90%
p-value
0.286
Holm-adjusted p
1.000
BH q-value
0.718
0Estimate
This member60.0%
All computed statistics (14)
n24
trade_days5
batch_share_trades0.9167
batch_day_share0.6000
batch_day_ci[0.2725, 0.8573]
dispersion_index7.6253
dispersion_p0
routine_share0
proximity_share0.1250
proximity_null_mean0.0710
proximity_null_p950.1667
proximity_p0.2860
proximity_nonroutine0.1250
proximity_routine0
T8Committee overlap38% of the member's mapped trading by dollar value was in industries their committees oversee, against 33% 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, SSAP, SSBK, SSJU, SSRA; jurisdiction sectors Aerospace & Defense, Broadline Retail, Financials, Interactive Media & Services, Pharmaceuticals, Real Estate. Dollar share 0.375 (identified set [0.038, 0.900], bootstrap 0.221-0.572); benchmarks S&P 500 0.263, congressional peers 0.329.

Evidence
Descriptive
Jurisdiction excess share
4.6% [-10.8%, 24.3%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member4.6%
All computed statistics (15)
n24
in_jurisdiction_trades9
share0.3750
share_bounds[0.0385, 0.8999]
share_ci[0.2212, 0.5718]
benchmark_sp5000.2634
benchmark_peers0.3292
excess0.0458
excess_ci[-0.1080, 0.2426]
committees[JCSE, SSAP, SSBK, SSJU, SSRA]
jurisdiction_sectors[Aerospace & Defense, Broadline Retail, Financials, Interactive Media & Services, Pharmaceuticals, Real Estate]
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 -0.0051, 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-0.0051
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.3433
members_compared134
lower95-0.0058
T13Co-trading with other members62% of trades had another member trading the same stock the same way within a week (chance alone: 52%).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 0.625; circular-shift null mean 0.523, 95th pct 0.708, p = 0.340. Co-traded signed CAR -0.0297, p = 0.691.

Evidence
Statistical
Co-traded share
62.5%
p-value
0.691
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n24
cotraded_share0.6250
null_mean0.5227
null_p950.7083
excess_p0.3400
cotraded_share_wo_top0.6250
excess_p_wo_top0.2300
cotraded_car-0.0297
cotraded_car_ci[-0.1252, 0.0658]
cotraded_car_p0.6912
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit62.5%
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 24 priced trades, purchases and sales moved 0.51% 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) = -0.0051; 90% KP interval [-0.0695, 0.0593]; t_BMP = -0.21, r-bar = 0.016, t_KP = -0.18, Patell Z = -0.37, Corrado Z = 0.29. Dollar-weighted identified set [-0.2327, 0.1159]. Calendar-time alpha 61.44%/yr (NW t = 0.83, 95 days).

Evidence
Statistical
Mean signed 21-day CAR
−0.51% [−6.95%, +5.93%] 90%
p-value
0.569
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−0.51%
All computed statistics (16)
n24
theta-0.0051
ci[-0.0695, 0.0593]
p0.5691
t_kp-0.1760
rbar0.0157
se_cs0.0320
se_kp0.0376
t_cs-0.1604
t_bmp-0.2070
patell_z-0.3740
corrado_z0.2929
dollar_weighted_bounds[-0.2327, 0.1159]
calendar_time[object Object]
calendar_alpha_ci[-0.0026, 0.0075]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question−0.81%
Horizon 63 daysOpen question+1.96%
Excluding largest batch dateOpen question+3.59%
Self-owned accounts onlyNot assessed–
Dollar-weighted (bounds)Open question+11.59%
Calendar-time alpha (annualized)+61.44%
T5Direction before market-wide shocksNo market-wide shocks or documented events fell within five trading days after the member's trades.Not assessed

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
No market-wide shocks or documented events fell within five trading days after the member's trades.

Evidence
Descriptive
Margin δ
10 points above a coin flip
All computed statistics (1)
n_episodes0
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 overlap9 priced trades fell in affected industries in the 30 days before the member's committee events and 15 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
9 priced trades fell in affected industries in the 30 days before the member's committee events and 15 did not; at least 10 of each are needed to compare them.

Evidence
Descriptive
Margin δ
0.5% per trade
All computed statistics (3)
n9
n_other15
events1957
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 2024-07-25 (permutation p = 0.124).

Evidence
Descriptive
All computed statistics (5)
changepoint2024-07-25
changepoint_LR6.9790
changepoint_p0.1240
tradeday_rate_before1
tradeday_rate_after0.0101
T12Anticipation of large stock moves4 trades were followed within two weeks by a large company-specific move; 1 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 0.25, Clopper-Pearson [0.01, 0.75], exact one-sided p = 0.938; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
25.0% [1.3%, 75.1%] 90%
p-value
0.938
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member25.0%
All computed statistics (6)
n4
hits1
hit_rate0.2500
ci[0.0127, 0.7514]
priced24
share_followed0.1667
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_unknown24
T15Short-swing round trips2 round trips but fewer than three priced.Not assessed

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
2 round trips but fewer than three priced.

Evidence
Descriptive
Margin δ
0.5% per trade over 21 days
All computed statistics (2)
round_trips2
share_in_round_trips0.1667
Disclosed trades per monthPurchasesSales
202420252026

Largest positions traded

CompanyTradesDisclosed value
AAPL AAPL3$3,003 to $45K
NVDA NVDA3$3,003 to $45K
AMZN AMZN3$3,003 to $45K
JPM JPM2$2,002 to $30K
GOOG GOOG2$2,002 to $30K
V V2$2,002 to $30K
UNH UNH2$2,002 to $30K
XOM XOM2$2,002 to $30K

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
24 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Jan 28, 2026JPM JPMCommitteeSale$1,001 to $15Kunknown1 d−6.5%Senate eFD search
Nov 7, 2025NVDA NVDASale$1,001 to $15Kunknown80 d−0.9%Senate eFD search
Nov 7, 2025AMZN AMZNCommitteeSale$1,001 to $15Kunknown80 d+4.0%Senate eFD search
Nov 7, 2025GOOG GOOGCommitteeSale$1,001 to $15Kunknown80 d+1.5%Senate eFD search
Nov 7, 2025V VCommitteePurchase$1,001 to $15Kunknown80 d−1.7%Senate eFD search
Nov 7, 2025AAPL AAPLSale$1,001 to $15Kunknown80 d−1.3%Senate eFD search
Nov 7, 2025UPS UPSPurchase$1,001 to $15Kunknown80 d+1.0%Senate eFD search
Apr 30, 2025AMZN AMZNCommitteePurchase$1,001 to $15Kunknown271 d+0.8%Senate eFD search
Apr 30, 2025UNH UNHSale$1,001 to $15Kunknown271 d+5.5%Senate eFD search
Apr 30, 2025AAPL AAPLPurchase$1,001 to $15Kunknown271 d−9.3%Senate eFD search
Apr 30, 2025NVDA NVDAPurchase$1,001 to $15Kunknown271 d+3.8%Senate eFD search
Apr 30, 2025XOM XOMSale$1,001 to $15Kunknown271 d+1.1%Senate eFD search
Apr 14, 2025JPM JPMCommitteePurchase$1,001 to $15Kunknown287 d+1.5%Senate eFD search
Apr 14, 2025EOG EOGPurchase$1,001 to $15Kunknown287 d+5.3%Senate eFD search
Apr 14, 2025AAPL AAPLPurchase$1,001 to $15Kunknown287 d+0.4%Senate eFD search
Apr 14, 2025WMT WMTPurchase$1,001 to $15Kunknown287 d−0.0%Senate eFD search
Apr 14, 2025GOOG GOOGCommitteePurchase$1,001 to $15Kunknown287 d−1.8%Senate eFD search
Apr 14, 2025V VCommitteePurchase$1,001 to $15Kunknown287 d−0.3%Senate eFD search
Apr 14, 2025NVDA NVDAPurchase$1,001 to $15Kunknown287 d−4.5%Senate eFD search
Apr 14, 2025AMZN AMZNCommitteePurchase$1,001 to $15Kunknown287 d−1.4%Senate eFD search
Apr 14, 2025UNH UNHPurchase$1,001 to $15Kunknown287 d−28.2%Senate eFD search
Apr 14, 2025XOM XOMPurchase$1,001 to $15Kunknown287 d+5.5%Senate eFD search
Apr 14, 2025MSFT MSFTPurchase$1,001 to $15Kunknown287 d−2.5%Senate eFD search
Jul 24, 2024ONEW ONEWSale$1,001 to $15Kunknown5 d+8.7%Senate eFD search