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U.S. Senate

Sen. David McCormick

Republican · Senator from PA

Joint Economic CommitteeSenate Special Committee on AgingBanking, Housing, and Urban AffairsEnergy and Natural ResourcesForeign Relations
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
26
Jan 16, 2025 to Jan 23, 2026
Companies traded
4
Disclosed value
$3.7M–$16.6M
Sum of reported ranges
Filed after 45 days
0
Median filing lag 26.5 days

Scorecard

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

T1Trade size4% of 26 trades were in the lowest disclosure band ($1,001-$15,000).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 0.038, 90% Wilson [0.009, 0.155]. No firm-event calendar, so the event-linked size gap was not computed.

Evidence
Descriptive
Lowest-band share
3.8% [0.9%, 15.5%] 90%
0Estimate
This member3.8%
All computed statistics (5)
n26
lowest_band_share0.0385
lowest_band_ci[0.0086, 0.1553]
share_over_50k0.5000
max_z5.5865
T2Breadth and concentration4 different companies; the effective number of equally sized positions is 2 and trading spans 25% 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 0.434 (identified set [0.334, 0.744]); trade-count HHI 0.725 vs. 95th percentile 0.044 of 26 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.25 [-0.00, 0.29]. Top three issuers (GS, RUM, BITB) carry at least 100% of dollar volume.

Evidence
Statistical
Effective number of issuers
2 [1, 3] 90%
0Estimate
This member2
All computed statistics (13)
n26
issuers4
hhi_mid0.4343
hhi_bounds[0.3342, 0.7436]
n_eff2.3024
hhi_count0.7249
peer_benchmark_p950.0444
peer_benchmark_p0.0020
sector_entropy0.2506
sector_entropy_ci[0, 0.2891]
top3_share_lower0.9959
top3[GS, RUM, BITB]
top3_tied_to_eventsfalse
T4Event timing (abnormal returns)Across 25 priced trades, purchases and sales moved 6.30% 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) = 0.0630; 90% KP interval [-0.1683, 0.2944]; t_BMP = 4.17, r-bar = 0.779, t_KP = 0.44, Patell Z = 2.10, Corrado Z = 2.58. Dollar-weighted identified set [0.0505, 0.1152]. Calendar-time alpha 74.26%/yr (NW t = 1.42, 118 days).

Evidence
Statistical
Mean signed 21-day CAR
+6.30% [−16.83%, +29.44%] 90%
p-value
0.331
Holm-adjusted p
0.993
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+6.30%
All computed statistics (16)
n25
theta0.0630
ci[-0.1683, 0.2944]
p0.3310
t_kp0.4425
rbar0.7788
se_cs0.0143
se_kp0.1352
t_cs4.3981
t_bmp4.1747
patell_z2.0969
corrado_z2.5813
dollar_weighted_bounds[0.0505, 0.1152]
calendar_time[object Object]
calendar_alpha_ci[-6.03e-4, 0.0065]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question+2.31%
Horizon 63 daysOpen question+1.70%
Excluding largest batch dateOpen question+6.24%
Self-owned accounts onlyNot assessed–
Dollar-weighted (bounds)Open question+11.52%
Calendar-time alpha (annualized)+74.26%
T12Anticipation of large stock moves7 trades were followed within two weeks by a large company-specific move; 6 were on the profitable side.Open question

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 0.86, Clopper-Pearson [0.48, 0.99], exact one-sided p = 0.062; threshold |AR| > 3 sigma.

Evidence
Statistical
Hit rate
85.7% [47.9%, 99.3%] 90%
p-value
0.063
Holm-adjusted p
0.250
BH q-value
0.721
Margin δ
10 points above a coin flip
0δEstimate
This member85.7%
All computed statistics (6)
n7
hits6
hit_rate0.8571
ci[0.4793, 0.9927]
priced26
share_followed0.2692
T3Cadence and event proximity0% of trading days were batches of three or more companies; 0% of trades look routine; 0.0% of trades came within five trading days before a large company-specific move (chance alone: 0.7%).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 0/25, Wilson [0.00, 0.10]; index of dispersion 0.98 (chi-square p = 0.566); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.000 vs. circular-shift null mean 0.007, p = 1.000.

Evidence
Statistical
Batch-day share
0.0% [0.0%, 9.8%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member0.0%
All computed statistics (14)
n26
trade_days25
batch_share_trades0
batch_day_share0
batch_day_ci[0, 0.0977]
dispersion_index0.9832
dispersion_p0.5658
routine_share0
proximity_share0
proximity_null_mean0.0066
proximity_null_p950.0385
proximity_p1
proximity_nonroutine0
proximity_routine0
T5Direction before market-wide shocksBefore 5 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 0.20, Clopper-Pearson 90% [0.01, 0.66]; exact one-sided p = 0.969; magnitude-weighted sign-flip p = 0.691. 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
20.0% [1.0%, 65.7%] 90%
p-value
0.969
Holm-adjusted p
1.000
BH q-value
1.000
Margin δ
10 points above a coin flip
0δEstimate
This member20.0%
All computed statistics (7)
n_episodes5
hits1
hit_rate0.2000
ci[0.0102, 0.6574]
p_exact0.9688
p_magnitude0.6905
episodes[[object Object], [object Object], [object Object], [object Object], [object Object]]
T7Disclosure timeliness0 of 26 trades (0.0%) were disclosed late; median lag 26 days.Does not fit

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 0.000, Wilson [0.000, 0.094]; 90th percentile lag 30 days; longest 30 days.

Evidence
Descriptive
Late share
0.0% [0.0%, 9.4%] 90%
0Estimate
This member0.0%
All computed statistics (15)
n26
amendment_rows_excluded0
late0
late_from_trade0
excused_by_notification0
late_share0
late_ci[0, 0.0943]
median_lag26.5000
p90_lag30
max_lag30
filings9
late_filings0
late_priced0
timely_priced25
late_priced_dates0
T8Committee overlap71% of the member's mapped trading by dollar value was in industries their committees oversee, against 35% 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 JSEC, SPAG, SSBK, SSEG, SSFR; jurisdiction sectors Aerospace & Defense, Copper, Energy, Financials, Gold, Managed Health Care, Real Estate, Timber REITs, Utilities. Dollar share 0.711 (identified set [0.349, 0.921], bootstrap 0.153-1.000); benchmarks S&P 500 0.352, congressional peers 0.341.

Evidence
Descriptive
Jurisdiction excess share
35.9% [-19.9%, 64.8%] 90%
Margin δ
0.5% per trade over 21 days
0δEstimate
This member35.9%
All computed statistics (11)
n25
in_jurisdiction_trades24
share0.7113
share_bounds[0.3490, 0.9206]
share_ci[0.1533, 1]
benchmark_sp5000.3525
benchmark_peers0.3411
excess0.3588
excess_ci[-0.1992, 0.6475]
committees[JSEC, SPAG, SSBK, SSEG, SSFR]
jurisdiction_sectors[Aerospace & Defense, Copper, Energy, Financials, Gold, Managed Health Care, Real Estate, Timber REITs, Utilities]
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 99% 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 0.0630, 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)
raw0.0630
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.9851
members_compared134
lower95-0.0058
T13Co-trading with other members4% of trades had another member trading the same stock the same way within a week (chance alone: 3%).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 0.038; circular-shift null mean 0.030, 95th pct 0.077, p = 0.660.

Evidence
Statistical
Co-traded share
3.8%
Robust to variants
Yes
All computed statistics (7)
n26
cotraded_share0.0385
null_mean0.0303
null_p950.0769
excess_p0.6600
cotraded_share_wo_top0.0385
excess_p_wo_top0.7100
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit3.8%
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 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 overlap24 priced trades fell in affected industries in the 30 days before the member's committee events and 1 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
24 priced trades fell in affected industries in the 30 days before the member's committee events and 1 did not; at least 10 of each are needed to compare them.

Evidence
Descriptive
Margin δ
0.5% per trade
All computed statistics (3)
n24
n_other1
events4156
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 2025-04-10 (permutation p = 0.002).

Evidence
Descriptive
All computed statistics (5)
changepoint2025-04-10
changepoint_LR32.2307
changepoint_p0.0020
tradeday_rate_before0.3167
tradeday_rate_after0.0290
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_unknown26

Documented episodes

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

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

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

Wrong way.

Market move on 2025-04-03
–
3 trade(s) in the prior five trading days
-4.93%

S&P 500 (SPY) daily move (Apr 3, 2025)

Wrong way.

Market move on 2025-04-04
–
3 trade(s) in the prior five trading days
-5.85%

S&P 500 (SPY) daily move (Apr 4, 2025)

Wrong way.

Market move on 2025-04-09
–
3 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
–
3 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
20252026

Largest positions traded

CompanyTradesDisclosed value
GS GS2$2M to $10M
RUM RUM1$1M to $5M
BITB BITB22$680K to $1.6M
IJR IJR1$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
26 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Jan 23, 2026GS GSCommitteeSale$1M to $5Munknown30 d−0.8%Senate eFD search
Nov 28, 2025BITB BITBCommitteePurchase$50K to $100Kunknown28 d−1.7%Senate eFD search
Nov 26, 2025BITB BITBCommitteePurchase$50K to $100Kunknown30 d+2.4%Senate eFD search
Nov 25, 2025BITB BITBCommitteePurchase$15K to $50Kunknown2 d+5.3%Senate eFD search
Nov 24, 2025BITB BITBCommitteePurchase$50K to $100Kunknown3 d+0.7%Senate eFD search
May 6, 2025IJR IJRSale$1,001 to $15Kunknown29 d–Senate eFD search
Apr 9, 2025BITB BITBCommitteePurchase$15K to $50Kunknown21 d+10.4%Senate eFD search
Apr 7, 2025BITB BITBCommitteePurchase$15K to $50Kunknown23 d−4.9%Senate eFD search
Apr 3, 2025BITB BITBCommitteePurchase$15K to $50Kunknown27 d−0.2%Senate eFD search
Apr 2, 2025BITB BITBCommitteePurchase$15K to $50Kunknown28 d−1.6%Senate eFD search
Mar 31, 2025BITB BITBCommitteePurchase$15K to $50Kunknown30 d+12.8%Senate eFD search
Mar 27, 2025BITB BITBCommitteePurchase$50K to $100Kunknown27 d+3.6%Senate eFD search
Mar 25, 2025BITB BITBCommitteePurchase$50K to $100Kunknown29 d+0.4%Senate eFD search
Mar 24, 2025BITB BITBCommitteePurchase$15K to $50Kunknown30 d−2.6%Senate eFD search
Mar 20, 2025BITB BITBCommitteePurchase$50K to $100Kunknown9 d+1.9%Senate eFD search
Mar 13, 2025BITB BITBCommitteePurchase$15K to $50Kunknown16 d+0.2%Senate eFD search
Mar 11, 2025BITB BITBCommitteePurchase$15K to $50Kunknown18 d−2.8%Senate eFD search
Mar 10, 2025BITB BITBCommitteePurchase$50K to $100Kunknown19 d+4.4%Senate eFD search
Mar 5, 2025BITB BITBCommitteePurchase$15K to $50Kunknown24 d−1.0%Senate eFD search
Mar 3, 2025BITB BITBCommitteePurchase$50K to $100Kunknown26 d−1.3%Senate eFD search
Feb 28, 2025GS GSCommitteeSale$1M to $5Munknown29 d+7.0%Senate eFD search
Feb 28, 2025BITB BITBCommitteePurchase$15K to $50Kunknown29 d+8.3%Senate eFD search
Feb 27, 2025BITB BITBCommitteePurchase$50K to $100Kunknown30 d+9.7%Senate eFD search
Feb 26, 2025BITB BITBCommitteePurchase$15K to $50Kunknown7 d+9.8%Senate eFD search
Feb 25, 2025BITB BITBCommitteePurchase$50K to $100Kunknown8 d+2.9%Senate eFD search
Jan 16, 2025RUM RUMSale$1M to $5Munknown24 d−5.2%Senate eFD search