An independent review of public financial disclosures. Not affiliated with or endorsed by the U.S. House, the U.S. Senate, or any government agency.
U.S. Senate

Sen. Roger Marshall

Republican · Senator from KS

Agriculture, Nutrition, and ForestryBudgetFinanceHealth, Education, Labor, and Pensions
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on breadth and concentration, disclosure timeliness.

Trades disclosed
160
Jan 3, 2017 to Sep 15, 2020
Companies traded
59
Disclosed value
$1.5M+
Sum of reported ranges
Filed after 45 days
6
Median filing lag 297.5 days

Scorecard

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

T2Breadth and concentration55 different companies; the effective number of equally sized positions is 4 and trading spans 36% 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 0.223 (identified set [0.053, 0.483]); trade-count HHI 0.025 vs. 95th percentile 0.010 of 156 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.36 [0.15, 0.60]. Top three issuers (ROKU, DIS, TWTR) carry at least 29% of dollar volume.

Evidence
Statistical
Effective number of issuers
4 [2, 19] 90%
0Estimate
This member4
All computed statistics (13)
n156
issuers55
hhi_mid0.2234
hhi_bounds[0.0526, 0.4830]
n_eff4.4765
hhi_count0.0252
peer_benchmark_p950.0102
peer_benchmark_p0.0020
sector_entropy0.3569
sector_entropy_ci[0.1504, 0.6026]
top3_share_lower0.2943
top3[ROKU, DIS, TWTR]
top3_tied_to_eventstrue
T7Disclosure timeliness10 of 160 trades (6.2%) were disclosed late; median lag 298 days. Another 95 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 0.062, Wilson [0.038, 0.102]; 90th percentile lag 508 days; longest 584 days.

Evidence
Descriptive
Late share
6.3% [3.8%, 10.2%] 90%
Robust to variants
Yes
0Estimate
This member6.3%
All computed statistics (15)
n160
amendment_rows_excluded0
late10
late_from_trade105
excused_by_notification95
late_share0.0625
late_ci[0.0377, 0.1018]
median_lag297.5000
p90_lag508.4000
max_lag584
filings16
late_filings4
late_priced8
timely_priced86
late_priced_dates5
Robustness variantReadingEstimate
Late from the trade date alone, ignoring notification datesOpen question65.6%
T1Trade size96% of 156 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 0.955, 90% Wilson [0.919, 0.975]. 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
95.5% [91.9%, 97.5%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member95.5%
All computed statistics (9)
n156
lowest_band_share0.9551
lowest_band_ci[0.9192, 0.9755]
share_over_50k0.0192
max_z0
size_gap0
size_gap_p1
event_linked3
event_linked_outliers0
T3Cadence and event proximity8% of trading days were batches of three or more companies; 0% of trades look routine; 1.9% of trades came within five trading days before a large company-specific move (chance alone: 4.2%).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 7/89, Wilson [0.04, 0.14]; index of dispersion 2.16 (chi-square p = 5.35e-84); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.019 vs. circular-shift null mean 0.042, p = 0.914.

Evidence
Statistical
Batch-day share
7.9% [4.3%, 13.9%] 90%
p-value
0.914
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member7.9%
All computed statistics (14)
n156
trade_days89
batch_share_trades0.1859
batch_day_share0.0787
batch_day_ci[0.0432, 0.1390]
dispersion_index2.1579
dispersion_p0
routine_share0
proximity_share0.0192
proximity_null_mean0.0421
proximity_null_p950.0705
proximity_p0.9140
proximity_nonroutine0.0192
proximity_routine0
T5Direction before market-wide shocksBefore 5 large market moves, the member's net trading pointed the right way 2 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 0.40, Clopper-Pearson 90% [0.08, 0.81]; exact one-sided p = 0.812; magnitude-weighted sign-flip p = 0.751. 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
40.0% [7.6%, 81.1%] 90%
p-value
0.813
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member40.0%
All computed statistics (7)
n_episodes5
hits2
hit_rate0.4000
ci[0.0764, 0.8107]
p_exact0.8125
p_magnitude0.7512
episodes[[object Object], [object Object], [object Object], [object Object], [object Object]]
T8Committee overlap2% of the member's mapped trading by dollar value was in industries their committees oversee, against 19% 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 SSAF, SSBU, SSFI, SSHR; jurisdiction sectors Agricultural & Farm Machinery, Agricultural Products & Services, Distillers & Vintners, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care, Human Resource & Employment Services, Life & Health Insurance, Packaged Foods & Meats, Timber REITs, Tobacco. Dollar share 0.022 (identified set [0.003, 0.124], bootstrap 0.002-0.061); benchmarks S&P 500 0.192, congressional peers 0.135.

Evidence
Descriptive
Jurisdiction excess share
-17.1% [-19.0%, -13.1%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member-17.1%
All computed statistics (15)
n100
in_jurisdiction_trades9
share0.0216
share_bounds[0.0029, 0.1242]
share_ci[0.0020, 0.0609]
benchmark_sp5000.1921
benchmark_peers0.1354
excess-0.1705
excess_ci[-0.1901, -0.1312]
committees[SSAF, SSBU, SSFI, SSHR]
jurisdiction_sectors[Agricultural & Farm Machinery, Agricultural Products & Services, Distillers & Vintners, Fertilizers & Agricultural Chemicals, Financial Exchanges & Data, Food Distributors, Health Care, Human Resource & Employment Services, Life & Health Insurance, Packaged Foods & Meats, Timber REITs, Tobacco]
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 38% 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 -0.0048, 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-0.0048
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.3806
members_compared134
lower95-0.0058
T13Co-trading with other members13% of trades had another member trading the same stock the same way within a week (chance alone: 10%).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 0.135; circular-shift null mean 0.098, 95th pct 0.141, p = 0.120. Co-traded signed CAR 0.0172, p = 0.252.

Evidence
Statistical
Co-traded share
13.5%
p-value
0.252
Holm-adjusted p
1.000
BH q-value
0.902
Robust to variants
Yes
All computed statistics (10)
n156
cotraded_share0.1346
null_mean0.0981
null_p950.1410
excess_p0.1200
cotraded_share_wo_top0.1282
excess_p_wo_top0.1200
cotraded_car0.0172
cotraded_car_ci[-0.0199, 0.0543]
cotraded_car_p0.2524
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit12.8%
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 94 priced trades, purchases and sales moved 0.48% 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) = -0.0048; 90% KP interval [-0.0888, 0.0792]; t_BMP = -0.05, r-bar = 0.089, t_KP = -0.02, Patell Z = -0.05, Corrado Z = 0.05. Dollar-weighted identified set [-0.0643, 0.0328]. Calendar-time alpha -9.83%/yr (NW t = -0.49, 485 days).

Evidence
Statistical
Mean signed 21-day CAR
−0.48% [−8.88%, +7.92%] 90%
p-value
0.689
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−0.48%
All computed statistics (16)
n94
theta-0.0048
ci[-0.0888, 0.0792]
p0.5068
t_kp-0.0171
rbar0.0892
se_cs0.0158
se_kp0.0506
t_cs-0.3009
t_bmp-0.0546
patell_z-0.0490
corrado_z0.0545
dollar_weighted_bounds[-0.0643, 0.0328]
calendar_time[object Object]
calendar_alpha_ci[-0.0017, 9.27e-4]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question−0.86%
Horizon 63 daysOpen question−1.66%
Excluding largest batch dateOpen question−0.86%
Self-owned accounts onlyNot assessed−2.37%
Dollar-weighted (bounds)Open question+3.28%
Calendar-time alpha (annualized)−9.83%
T6Control and independenceTrading arrangement: not documented; trading during absence ran at 3.85 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 3.85 times the normal rate.

Evidence
Statistical
Absence rate ratio
3.85 [2.05, 6.69] 90%
0Estimate
This member3.85
All computed statistics (6)
rate_ratio3.8499
rate_ratio_ci[2.0497, 6.6872]
rate_ratio_batchdays2.6583
rate_ratio_batchdays_ci[0.8889, 6.2716]
absence_days17
trades_in_absence10
T9Policy-topic overlap6 priced trades fell in affected industries in the 30 days before the member's committee events and 88 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
6 priced trades fell in affected industries in the 30 days before the member's committee events and 88 did not; at least 10 of each are needed to compare them.

Evidence
Descriptive
Margin δ
0.5% per trade
All computed statistics (3)
n6
n_other88
events1549
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 2017-11-08 (permutation p = 0.002).

Evidence
Descriptive
All computed statistics (5)
changepoint2017-11-08
changepoint_LR53.0357
changepoint_p0.0020
tradeday_rate_before0.2353
tradeday_rate_after0.0483
T12Anticipation of large stock moves16 trades were followed within two weeks by a large company-specific move; 8 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 0.50, Clopper-Pearson [0.28, 0.72], exact one-sided p = 0.598; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
50.0% [27.9%, 72.1%] 90%
p-value
0.598
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member50.0%
All computed statistics (6)
n16
hits8
hit_rate0.5000
ci[0.2786, 0.7214]
priced94
share_followed0.1702
T14Family-account trades97% of trades were in family accounts; those moved -0.41% in the trade's favour over a month.Inconclusive (too few trades)

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
Family signed CAR -0.0041 [-0.0911, 0.0829], t_KP = -0.02; family minus self 0.0196 [-0.0279, 0.0696], p = 0.283.

Evidence
Statistical
Family-account signed CAR
−0.41% [−9.11%, +8.29%] 90%
p-value
0.508
Holm-adjusted p
1.000
BH q-value
0.908
Margin δ
0.5% per trade over 21 days
0δEstimate
This member−0.41%
All computed statistics (8)
family_trades148
family_share0.9673
owner_unknown3
family_car-0.0041
family_ci[-0.0911, 0.0829]
diff0.0196
diff_ci[-0.0279, 0.0696]
diff_p0.2825
T15Short-swing round trips64 buy-and-sell round trips within six months; in the month after opening, those positions moved +0.49% 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) 0.0049 [-0.0784, 0.0881], t_KP = 0.41, over 39 priced openings. Realized market-adjusted return to the closing trade averaged +0.95% (win rate 67%); it is shown for context only because exit timing is chosen after the fact.

Evidence
Statistical
Opening-trade signed 21-day CAR
+0.49% [−7.84%, +8.81%] 90%
p-value
0.341
Holm-adjusted p
1.000
BH q-value
0.999
Margin δ
0.5% per trade over 21 days
0δEstimate
This member+0.49%
All computed statistics (9)
round_trips64
share_in_round_trips0.8205
priced36
realized_mean0.0095
realized_win_rate0.6667
opening_car0.0049
ci[-0.0784, 0.0881]
p0.3413
openings_priced39

Documented episodes

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

Market move on 2020-03-10
–
1 trade(s) in the prior five trading days
+5.17%

S&P 500 (SPY) daily move (Mar 10, 2020)

Right way.

Market move on 2020-03-11
–
1 trade(s) in the prior five trading days
-4.87%

S&P 500 (SPY) daily move (Mar 11, 2020)

Wrong way.

Market move on 2020-03-12
–
1 trade(s) in the prior five trading days
-9.57%

S&P 500 (SPY) daily move (Mar 12, 2020)

Wrong way.

Market move on 2020-03-13
–
1 trade(s) in the prior five trading days
+8.55%

S&P 500 (SPY) daily move (Mar 13, 2020)

Right way.

Market move on 2020-03-16
–
1 trade(s) in the prior five trading days
-10.94%

S&P 500 (SPY) daily move (Mar 16, 2020)

Wrong way.

Disclosed trades per monthPurchasesSales
2017201820192020

Largest positions traded

CompanyTradesDisclosed value
CASY Casey's General Stores4Over $3,003
ROKU Roku, Inc. - Class A6$505K to $1.1M
DIS DIS3$351K to $765K
Great Bend Surgical Properties, LLC1$250K to $500K
Ionics Life Sciences1$100K to $250K
TWTR Twitter, Inc.5$47K to $180K
TSLA Tesla9$9,009 to $135K
BABA Alibaba Group Holding Limited American Depositary Shares each representing One Ordinary Share8$8,008 to $120K

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
160 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Sep 15, 2020INTC Intel CorporationSale$1,001 to $15Kdependent28 d−3.3%Filing
Sep 15, 2020MSFT Microsoft CorporationSale$1,001 to $15Kdependent28 d−1.4%Filing
Sep 15, 2020ROKU Roku, Inc. - Class ASale$1,001 to $15Kdependent28 d−17.4%Filing
Sep 15, 2020SNE Sony CorporationSale$1,001 to $15Kdependent28 d–Filing
Sep 4, 2020ROKU Roku, Inc. - Class APurchase$1,001 to $15Kdependent39 d−0.4%Filing
Sep 3, 2020MSFT Microsoft CorporationPurchase$1,001 to $15Kdependent40 d−3.0%Filing
Sep 2, 2020INTC Intel CorporationPurchase$1,001 to $15Kdependent41 d+1.6%Filing
Aug 31, 2020SNE Sony CorporationPurchase$1,001 to $15Kdependent43 d–Filing
Aug 31, 2020SNE Sony CorporationPurchase$1,001 to $15Kdependent43 d–Filing
Jul 8, 2020DIS DISPurchase$250K to $500Kunknown447 d+2.1%Senate eFD search
Jul 8, 2020ROKU ROKUSale$500K to $1Munknown447 d−12.7%Senate eFD search
Jun 9, 2020BABA Alibaba Group Holding Limited American Depositary Shares each representing eight Ordinary ShareSale$1,001 to $15Kdependent23 d−2.0%Filing
May 19, 2020ROKU Roku, Inc. - Class APurchase$1,001 to $15Kdependent15 d−12.8%Filing
May 12, 2020AMD Advanced Micro Devices, Inc.Sale$1,001 to $15Kdependent22 d+0.9%Filing
May 12, 2020BABA Alibaba Group Holding Limited American Depositary Shares each representing eight Ordinary ShareSale$1,001 to $15Kdependent22 d−6.5%Filing
May 7, 2020GILD Gilead Sciences, Inc.CommitteePurchase$1,001 to $15Kdependent27 d−0.3%Filing
May 7, 2020YETI YETI Holdings, Inc.Sale$1,001 to $15Kdependent27 d+6.6%Filing
May 5, 2020GILD Gilead Sciences, Inc.CommitteePurchase$1,001 to $15Kdependent29 d−2.1%Filing
May 5, 2020DIS Walt Disney CompanyPurchase$1,001 to $15Kdependent29 d+3.8%Filing
May 4, 2020AMD Advanced Micro Devices, Inc.Purchase$1,001 to $15Kdependent30 d−0.2%Filing
May 4, 2020BABA Alibaba Group Holding Limited American Depositary Shares each representing eight Ordinary SharePurchase$1,001 to $15Kdependent30 d+4.5%Filing
May 4, 2020GILD Gilead Sciences, Inc.CommitteePurchase$1,001 to $15Kdependent30 d−1.4%Filing
May 4, 2020YETI YETI Holdings, Inc.Purchase$1,001 to $15Kdependent30 d−0.3%Filing
Mar 9, 2020DIS DISPurchase$100K to $250Kunknown568 d+2.4%Senate eFD search
Dec 12, 2019YETI YETI Holdings, Inc.Sale$1,001 to $15Kdependent28 d+5.2%Filing
Dec 6, 2019AAPL Apple Inc.Sale$1,001 to $15Kdependent34 d−0.1%Filing
Dec 6, 2019AAPL Apple Inc.Sale$1,001 to $15Kdependent34 d−0.1%Filing
Dec 5, 2019BABA Alibaba Group Holding Limited American Depositary Shares each representing eight Ordinary ShareSale$1,001 to $15Kdependent35 d−0.1%Filing
Dec 3, 2019BABA Alibaba Group Holding Limited American Depositary Shares each representing eight Ordinary SharePurchase$1,001 to $15Kdependent37 d+1.2%Filing
Dec 3, 2019AAPL Apple Inc.Purchase$1,001 to $15Kdependent37 d+1.2%Filing
Dec 2, 2019AAPL Apple Inc.Purchase$1,001 to $15Kdependent38 d−0.4%Filing
Nov 27, 2019AMZN Amazon.com, Inc.Sale$1,001 to $15Kdependent14 d+2.6%Filing
Nov 15, 2019AMZN Amazon.com, Inc.Purchase$1,001 to $15Kdependent26 d+0.9%Filing
Nov 15, 2019MU Micron Technology, Inc.Sale$1,001 to $15Kdependent26 d+3.4%Filing
Nov 11, 2019MU Micron Technology, Inc.Purchase$1,001 to $15Kdependent30 d+1.0%Filing
Nov 6, 2019CLS Celestica, Inc.Sale$1,001 to $15Kdependent35 d−4.9%Filing
Nov 6, 2019YETI YETI Holdings, Inc.Purchase$1,001 to $15Kdependent64 d−0.6%Filing
Oct 31, 2019NFLX Netflix, Inc.Sale$1,001 to $15Kdependent41 d+1.3%Filing
Oct 28, 2019CLS Celestica, Inc.Purchase$1,001 to $15Kdependent44 d+10.5%Filing
Oct 28, 2019NFLX Netflix, Inc.Purchase$1,001 to $15Kdependent44 d+2.2%Filing
Mar 21, 2019NVDA NVIDIA CorporationSale$1,001 to $15Kdependent21 d−0.2%Filing
Nov 7, 2018TSLA Tesla, Inc.Sale$1,001 to $15Kdependent29 d−4.8%Filing
Nov 5, 2018TSLA Tesla, Inc.Purchase$1,001 to $15Kdependent31 d−2.2%Filing
Oct 10, 2018BABA Alibaba Group Holding Limited American Depositary Shares each representing One Ordinary ShareSale$1,001 to $15Kdependent23 d−6.4%Filing
Oct 1, 2018 Ionics Life SciencesPurchase$100K to $250Kself331 d–Filing
Sep 5, 2018BABA Alibaba Group Holding Limited American Depositary Shares each representing One Ordinary ShareSale$1,001 to $15Kdependent26 d+1.4%Filing
Aug 27, 2018MSFT Microsoft CorporationSale$15K to $50Kdependent9 d−1.5%Filing
Aug 27, 2018BABA Alibaba Group Holding Limited American Depositary Shares each representing One Ordinary SharePurchase$1,001 to $15Kdependent35 d−5.6%Filing
Aug 22, 2018MSFT Microsoft CorporationPurchase$1,001 to $15Kdependent14 d+1.6%Filing
Aug 21, 2018AAPL Apple Inc.Sale$1,001 to $15Kdependent15 d−0.7%Filing