Sen. David McCormick
Republican · Senator from PA
No test fits; open questions on trade size, breadth and concentration, event timing (abnormal returns) and more.
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%
All computed statistics (5)
| n | 26 |
| lowest_band_share | 0.0385 |
| lowest_band_ci | [0.0086, 0.1553] |
| share_over_50k | 0.5000 |
| max_z | 5.5865 |
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%
All computed statistics (13)
| n | 26 |
| issuers | 4 |
| hhi_mid | 0.4343 |
| hhi_bounds | [0.3342, 0.7436] |
| n_eff | 2.3024 |
| hhi_count | 0.7249 |
| peer_benchmark_p95 | 0.0444 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.2506 |
| sector_entropy_ci | [0, 0.2891] |
| top3_share_lower | 0.9959 |
| top3 | [GS, RUM, BITB] |
| top3_tied_to_events | false |
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
All computed statistics (16)
| n | 25 |
| theta | 0.0630 |
| ci | [-0.1683, 0.2944] |
| p | 0.3310 |
| t_kp | 0.4425 |
| rbar | 0.7788 |
| se_cs | 0.0143 |
| se_kp | 0.1352 |
| t_cs | 4.3981 |
| t_bmp | 4.1747 |
| patell_z | 2.0969 |
| corrado_z | 2.5813 |
| dollar_weighted_bounds | [0.0505, 0.1152] |
| calendar_time | [object Object] |
| calendar_alpha_ci | [-6.03e-4, 0.0065] |
| by_horizon | [object Object] |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | +2.31% |
| Horizon 63 days | Open question | +1.70% |
| Excluding largest batch date | Open question | +6.24% |
| Self-owned accounts only | Not 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
All computed statistics (6)
| n | 7 |
| hits | 6 |
| hit_rate | 0.8571 |
| ci | [0.4793, 0.9927] |
| priced | 26 |
| share_followed | 0.2692 |
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
All computed statistics (14)
| n | 26 |
| trade_days | 25 |
| batch_share_trades | 0 |
| batch_day_share | 0 |
| batch_day_ci | [0, 0.0977] |
| dispersion_index | 0.9832 |
| dispersion_p | 0.5658 |
| routine_share | 0 |
| proximity_share | 0 |
| proximity_null_mean | 0.0066 |
| proximity_null_p95 | 0.0385 |
| proximity_p | 1 |
| proximity_nonroutine | 0 |
| proximity_routine | 0 |
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
All computed statistics (7)
| n_episodes | 5 |
| hits | 1 |
| hit_rate | 0.2000 |
| ci | [0.0102, 0.6574] |
| p_exact | 0.9688 |
| p_magnitude | 0.6905 |
| 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%
All computed statistics (15)
| n | 26 |
| amendment_rows_excluded | 0 |
| late | 0 |
| late_from_trade | 0 |
| excused_by_notification | 0 |
| late_share | 0 |
| late_ci | [0, 0.0943] |
| median_lag | 26.5000 |
| p90_lag | 30 |
| max_lag | 30 |
| filings | 9 |
| late_filings | 0 |
| late_priced | 0 |
| timely_priced | 25 |
| late_priced_dates | 0 |
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
All computed statistics (11)
| n | 25 |
| in_jurisdiction_trades | 24 |
| share | 0.7113 |
| share_bounds | [0.3490, 0.9206] |
| share_ci | [0.1533, 1] |
| benchmark_sp500 | 0.3525 |
| benchmark_peers | 0.3411 |
| excess | 0.3588 |
| 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
All computed statistics (8)
| raw | 0.0630 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.9851 |
| members_compared | 134 |
| 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)
| n | 26 |
| cotraded_share | 0.0385 |
| null_mean | 0.0303 |
| null_p95 | 0.0769 |
| excess_p | 0.6600 |
| cotraded_share_wo_top | 0.0385 |
| excess_p_wo_top | 0.7100 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Does not fit | 3.8% |
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_trips | 0 |
| share_in_round_trips | 0 |
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_trades | 0 |
| option_share | 0 |
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)
| n | 24 |
| n_other | 1 |
| events | 4156 |
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)
| changepoint | 2025-04-10 |
| changepoint_LR | 32.2307 |
| changepoint_p | 0.0020 |
| tradeday_rate_before | 0.3167 |
| tradeday_rate_after | 0.0290 |
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_unknown | 26 |
Documented episodes
Trades placed near a documented market or policy event, and which way the market moved next.
2 trade(s) in the prior five trading days-2.66%
S&P 500 (SPY) daily move (Mar 10, 2025)
Wrong way.
3 trade(s) in the prior five trading days-4.93%
S&P 500 (SPY) daily move (Apr 3, 2025)
Wrong way.
3 trade(s) in the prior five trading days-5.85%
S&P 500 (SPY) daily move (Apr 4, 2025)
Wrong way.
3 trade(s) in the prior five trading days+10.5%
S&P 500 (SPY) daily move (Apr 9, 2025)
Right way.
3 trade(s) in the prior five trading days-4.38%
S&P 500 (SPY) daily move (Apr 10, 2025)
Wrong way.
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| GS GS | 2 | $2M to $10M |
| RUM RUM | 1 | $1M to $5M |
| BITB BITB | 22 | $680K to $1.6M |
| IJR IJR | 1 | $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.
| Trade date | Asset | Type | Amount | Owner | Filed after | 5-day CAR | |
|---|---|---|---|---|---|---|---|
| Jan 23, 2026 | GS GSCommittee | Sale | $1M to $5M | unknown | 30 d | −0.8% | Senate eFD search |
| Nov 28, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 28 d | −1.7% | Senate eFD search |
| Nov 26, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 30 d | +2.4% | Senate eFD search |
| Nov 25, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 2 d | +5.3% | Senate eFD search |
| Nov 24, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 3 d | +0.7% | Senate eFD search |
| May 6, 2025 | IJR IJR | Sale | $1,001 to $15K | unknown | 29 d | – | Senate eFD search |
| Apr 9, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 21 d | +10.4% | Senate eFD search |
| Apr 7, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 23 d | −4.9% | Senate eFD search |
| Apr 3, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 27 d | −0.2% | Senate eFD search |
| Apr 2, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 28 d | −1.6% | Senate eFD search |
| Mar 31, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 30 d | +12.8% | Senate eFD search |
| Mar 27, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 27 d | +3.6% | Senate eFD search |
| Mar 25, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 29 d | +0.4% | Senate eFD search |
| Mar 24, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 30 d | −2.6% | Senate eFD search |
| Mar 20, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 9 d | +1.9% | Senate eFD search |
| Mar 13, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 16 d | +0.2% | Senate eFD search |
| Mar 11, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 18 d | −2.8% | Senate eFD search |
| Mar 10, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 19 d | +4.4% | Senate eFD search |
| Mar 5, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 24 d | −1.0% | Senate eFD search |
| Mar 3, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 26 d | −1.3% | Senate eFD search |
| Feb 28, 2025 | GS GSCommittee | Sale | $1M to $5M | unknown | 29 d | +7.0% | Senate eFD search |
| Feb 28, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 29 d | +8.3% | Senate eFD search |
| Feb 27, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 30 d | +9.7% | Senate eFD search |
| Feb 26, 2025 | BITB BITBCommittee | Purchase | $15K to $50K | unknown | 7 d | +9.8% | Senate eFD search |
| Feb 25, 2025 | BITB BITBCommittee | Purchase | $50K to $100K | unknown | 8 d | +2.9% | Senate eFD search |
| Jan 16, 2025 | RUM RUM | Sale | $1M to $5M | unknown | 24 d | −5.2% | Senate eFD search |