Sen. Angus S. King, Jr.
Independent · Senator from ME
No test fits; screening signal on family-account trades (weaker evidence than a fit).
Scorecard
Select a test to see the estimate, interval, adjusted p-values and robustness checks.
T5Direction before market-wide shocksBefore 2 large market moves, the member's net trading pointed the right way 2 times.Open question
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 1.00, Clopper-Pearson 90% [0.22, 1.00]; exact one-sided p = 0.250; magnitude-weighted sign-flip p = 0.245. 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
- 100.0% [22.4%, 100.0%] 90%
- p-value
- 0.250
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (7)
| n_episodes | 2 |
| hits | 2 |
| hit_rate | 1 |
| ci | [0.2236, 1] |
| p_exact | 0.2500 |
| p_magnitude | 0.2452 |
| episodes | [[object Object], [object Object]] |
T7Disclosure timeliness11 of 118 trades (9.3%) were disclosed late; median lag 30 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 0.093, Wilson [0.058, 0.147]; 90th percentile lag 42 days; longest 58 days.
- Evidence
- Descriptive
- Late share
- 9.3% [5.8%, 14.7%] 90%
All computed statistics (15)
| n | 118 |
| amendment_rows_excluded | 0 |
| late | 11 |
| late_from_trade | 11 |
| excused_by_notification | 0 |
| late_share | 0.0932 |
| late_ci | [0.0579, 0.1468] |
| median_lag | 30.5000 |
| p90_lag | 42.2000 |
| max_lag | 58 |
| filings | 47 |
| late_filings | 6 |
| late_priced | 4 |
| timely_priced | 64 |
| late_priced_dates | 2 |
T14Family-account trades100% of trades were in family accounts; those moved +3.36% in the trade's favour over a month.Screening signal
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 0.0336 [0.0059, 0.0612], t_KP = 1.95.
- Evidence
- Statistical
- Family-account signed CAR
- +3.36% [+0.59%, +6.12%] 90%
- p-value
- 0.031
- Holm-adjusted p
- 0.216
- BH q-value
- 0.908
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (8)
| family_trades | 31 |
| family_share | 1 |
| owner_unknown | 44 |
| family_car | 0.0336 |
| family_ci | [0.0059, 0.0612] |
| diff | – |
| diff_ci | [–, –] |
| diff_p | – |
T1Trade size100% of 75 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 [0.965, 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% [96.5%, 100.0%] 90%
- p-value
- 1.000
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (9)
| n | 75 |
| lowest_band_share | 1 |
| lowest_band_ci | [0.9652, 1] |
| share_over_50k | 0 |
| max_z | 0 |
| size_gap | 0 |
| size_gap_p | 1 |
| event_linked | 9 |
| event_linked_outliers | 0 |
T2Breadth and concentration55 different companies; the effective number of equally sized positions is 47 and trading spans 90% 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 0.021 (identified set [0.018, 0.164]); trade-count HHI 0.021 vs. 95th percentile 0.018 of 75 random draws from all congressional trades (p = 0.006). Normalized sector entropy 0.90 [0.89, 0.96]. Top three issuers (VZ, SLB, ADBE) carry at least 1% of dollar volume.
- Evidence
- Statistical
- Effective number of issuers
- 47 [6, 55] 90%
All computed statistics (13)
| n | 75 |
| issuers | 55 |
| hhi_mid | 0.0212 |
| hhi_bounds | [0.0182, 0.1641] |
| n_eff | 47.2689 |
| hhi_count | 0.0212 |
| peer_benchmark_p95 | 0.0180 |
| peer_benchmark_p | 0.0060 |
| sector_entropy | 0.9023 |
| sector_entropy_ci | [0.8932, 0.9618] |
| top3_share_lower | 0.0079 |
| top3 | [VZ, SLB, ADBE] |
| top3_tied_to_events | true |
T3Cadence and event proximity20% of trading days were batches of three or more companies; 0% of trades look routine; 12.0% of trades came within five trading days before a large company-specific move (chance alone: 5.8%).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 6/30, Wilson [0.11, 0.34]; index of dispersion 8.69 (chi-square p = 0); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.120 vs. circular-shift null mean 0.058, p = 0.074.
- Evidence
- Statistical
- Batch-day share
- 20.0% [10.7%, 34.3%] 90%
- p-value
- 0.074
- Holm-adjusted p
- 0.444
- BH q-value
- 0.441
All computed statistics (14)
| n | 75 |
| trade_days | 30 |
| batch_share_trades | 0.5867 |
| batch_day_share | 0.2000 |
| batch_day_ci | [0.1071, 0.3425] |
| dispersion_index | 8.6851 |
| dispersion_p | 0 |
| routine_share | 0 |
| proximity_share | 0.1200 |
| proximity_null_mean | 0.0585 |
| proximity_null_p95 | 0.1200 |
| proximity_p | 0.0740 |
| proximity_nonroutine | 0.1200 |
| proximity_routine | 0 |
T8Committee overlap17% of the member's mapped trading by dollar value was in industries their committees oversee, against 16% 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 SLIN, SSAS, SSEG, SSVA; jurisdiction sectors Aerospace & Defense, Copper, Energy, Gold, Health Care Facilities, Health Care Services, Systems Software, Timber REITs, Utilities. Dollar share 0.169 (identified set [0.013, 0.753], bootstrap 0.081-0.292); benchmarks S&P 500 0.162, congressional peers 0.138.
- Evidence
- Descriptive
- Jurisdiction excess share
- 0.7% [-8.2%, 13.0%] 90%
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (15)
| n | 71 |
| in_jurisdiction_trades | 12 |
| share | 0.1690 |
| share_bounds | [0.0134, 0.7530] |
| share_ci | [0.0808, 0.2925] |
| benchmark_sp500 | 0.1624 |
| benchmark_peers | 0.1376 |
| excess | 0.0066 |
| excess_ci | [-0.0815, 0.1301] |
| committees | [SLIN, SSAS, SSEG, SSVA] |
| jurisdiction_sectors | [Aerospace & Defense, Copper, Energy, Gold, Health Care Facilities, Health Care Services, Systems Software, Timber REITs, Utilities] |
| regression_error | Error evaluating factor: TypeError: 'module' object is not callable y ~ J + C(sector) ^^^^^^^^^ |
| gamma1 | – |
| gamma1_ci | [–, –] |
| gamma1_p | – |
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 39% 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 -0.0047, 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 | -0.0047 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.3881 |
| members_compared | 134 |
| lower95 | -0.0058 |
T13Co-trading with other members20% of trades had another member trading the same stock the same way within a week (chance alone: 15%).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 0.200; circular-shift null mean 0.145, 95th pct 0.228, p = 0.170. Co-traded signed CAR -0.0239, p = 0.845.
- Evidence
- Statistical
- Co-traded share
- 20.0%
- p-value
- 0.845
- Holm-adjusted p
- 1.000
- BH q-value
- 0.945
- Robust to variants
- Yes
All computed statistics (10)
| n | 75 |
| cotraded_share | 0.2000 |
| null_mean | 0.1453 |
| null_p95 | 0.2280 |
| excess_p | 0.1700 |
| cotraded_share_wo_top | 0.1867 |
| excess_p_wo_top | 0.1800 |
| cotraded_car | -0.0239 |
| cotraded_car_ci | [-0.0775, 0.0297] |
| cotraded_car_p | 0.8453 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Does not fit | 18.7% |
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 |
T4Event timing (abnormal returns)Across 68 priced trades, purchases and sales moved 0.47% 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) = -0.0047; 90% KP interval [-0.0375, 0.0282]; t_BMP = 0.02, r-bar = 0.029, t_KP = 0.01, Patell Z = 0.02, Corrado Z = -0.21. Dollar-weighted identified set [-0.1150, 0.0871]. Calendar-time alpha 38.36%/yr (NW t = 2.44, 507 days).
- Evidence
- Statistical
- Mean signed 21-day CAR
- −0.47% [−3.75%, +2.82%] 90%
- p-value
- 0.496
- 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
All computed statistics (16)
| n | 68 |
| theta | -0.0047 |
| ci | [-0.0375, 0.0282] |
| p | 0.4956 |
| t_kp | 0.0111 |
| rbar | 0.0293 |
| se_cs | 0.0113 |
| se_kp | 0.0197 |
| t_cs | -0.4145 |
| t_bmp | 0.0193 |
| patell_z | 0.0242 |
| corrado_z | -0.2059 |
| dollar_weighted_bounds | [-0.1150, 0.0871] |
| calendar_time | [object Object] |
| calendar_alpha_ci | [4.81e-4, 0.0026] |
| by_horizon | [object Object] |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | +0.39% |
| Horizon 63 days | Open question | −0.92% |
| Excluding largest batch date | Open question | +1.03% |
| Self-owned accounts only | Not assessed | – |
| Dollar-weighted (bounds) | Open question | +8.71% |
| Calendar-time alpha (annualized) | +38.36% |
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 overlap7 priced trades fell in affected industries in the 30 days before the member's committee events and 61 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
7 priced trades fell in affected industries in the 30 days before the member's committee events and 61 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 | 7 |
| n_other | 61 |
| events | 3382 |
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 2014-04-29 (permutation p = 0.200).
- Evidence
- Descriptive
All computed statistics (5)
| changepoint | 2014-04-29 |
| changepoint_LR | 7.3155 |
| changepoint_p | 0.2000 |
| tradeday_rate_before | 1 |
| tradeday_rate_after | 0.0094 |
T12Anticipation of large stock moves18 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 0.44, Clopper-Pearson [0.24, 0.66], exact one-sided p = 0.760; threshold |AR| > 3 sigma.
- Evidence
- Statistical
- Hit rate
- 44.4% [24.4%, 65.9%] 90%
- p-value
- 0.760
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (6)
| n | 18 |
| hits | 8 |
| hit_rate | 0.4444 |
| ci | [0.2440, 0.6594] |
| priced | 69 |
| share_followed | 0.2609 |
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_trips | 2 |
| share_in_round_trips | 0.0533 |
Documented episodes
Trades placed near a documented market or policy event, and which way the market moved next.
1 trade(s) in the prior five trading days-1.97%
S&P 500 (SPY) daily move (Jul 31, 2014)
Right way.
1 trade(s) in the prior five trading days-3.03%
S&P 500 (SPY) daily move (Oct 24, 2018)
Right way.
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| ANANIA & ASSOCIATES INVESTMENT CO CLASS B MEMBERSHIP SHARES Company: ANANIA & ASSOCIATES INVESTMENT CO LLC (PORTLAND, ME) Description: VENTURE CAPITAL CORPORATION | 1 | $50K to $100K |
| Maine Muni Bond - Town of Orono ME GO 3% 11/01/2024 | 1 | $15K to $50K |
| Maine Turnpike Authority Bond 3.00% 07/01/2026 | 1 | $15K to $50K |
| Me Muni Bond Bk Rev 3% 09/01/2026 | 1 | $15K to $50K |
| Maine St Hsg Auth 11/15/2017 4.4% Rate/Coupon: 4.40 % Matures: 11/15/2017 | 1 | $15K to $50K |
| Augusta ME 12/01/2016 4.00% Rate/Coupon: 4.00% Matures: 12/01/2016 | 1 | $15K to $50K |
| Muni Bond Cape Elizabeth ME Rate/Coupon: 3.75% Matures: 04/01/2016 | 1 | $15K to $50K |
| Muni Bond Ellsworth ME GO Rate/Coupon: 2.25% Matures: 12/01/2024 | 1 | $15K to $50K |
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 | |
|---|---|---|---|---|---|---|---|
| Feb 13, 2026 | MSFT MSFTCommittee | Sale | $1,001 to $15K | unknown | 39 d | +4.3% | Senate eFD search |
| Feb 13, 2026 | LLY LLY | Sale | $1,001 to $15K | unknown | 39 d | −1.4% | Senate eFD search |
| Feb 13, 2026 | UBER UBER | Sale | $1,001 to $15K | unknown | 39 d | −1.3% | Senate eFD search |
| Feb 13, 2026 | META META | Sale | $1,001 to $15K | unknown | 39 d | −0.0% | Senate eFD search |
| Feb 13, 2026 | ADSK ADSK | Sale | $1,001 to $15K | unknown | 39 d | – | Senate eFD search |
| Feb 13, 2026 | ONON ONON | Sale | $1,001 to $15K | unknown | 39 d | −5.1% | Senate eFD search |
| Feb 13, 2026 | BX BX | Sale | $1,001 to $15K | unknown | 39 d | +12.6% | Senate eFD search |
| Feb 13, 2026 | PYPL PYPL | Sale | $1,001 to $15K | unknown | 39 d | −9.9% | Senate eFD search |
| Feb 13, 2026 | NFLX NFLX | Sale | $1,001 to $15K | unknown | 39 d | +0.7% | Senate eFD search |
| Dec 29, 2025 | HON HON | Purchase | $1,001 to $15K | unknown | 28 d | +3.9% | Senate eFD search |
| Dec 29, 2025 | CMCSA CMCSA | Sale | $1,001 to $15K | unknown | 28 d | +1.6% | Senate eFD search |
| Dec 29, 2025 | LLY LLY | Purchase | $1,001 to $15K | unknown | 28 d | −2.2% | Senate eFD search |
| Jul 21, 2025 | ONON ONON | Purchase | $1,001 to $15K | unknown | 28 d | −6.6% | Senate eFD search |
| Jul 21, 2025 | XOM XOMCommittee | Purchase | $1,001 to $15K | unknown | 28 d | +2.8% | Senate eFD search |
| Jul 21, 2025 | MRVL MRVL | Purchase | $1,001 to $15K | unknown | 28 d | +0.8% | Senate eFD search |
| Jul 21, 2025 | JPM JPM | Purchase | $1,001 to $15K | unknown | 28 d | +0.9% | Senate eFD search |
| Jul 21, 2025 | META META | Purchase | $1,001 to $15K | unknown | 28 d | −1.7% | Senate eFD search |
| Jul 21, 2025 | VRT VRT | Purchase | $1,001 to $15K | unknown | 28 d | +8.7% | Senate eFD search |
| Jul 21, 2025 | AMAT AMAT | Purchase | $1,001 to $15K | unknown | 28 d | −2.6% | Senate eFD search |
| Jul 21, 2025 | PYPL PYPL | Purchase | $1,001 to $15K | unknown | 28 d | +2.7% | Senate eFD search |
| Jul 21, 2025 | BX BX | Purchase | $1,001 to $15K | unknown | 28 d | +4.2% | Senate eFD search |
| Jul 21, 2025 | GOOGL GOOGL | Purchase | $1,001 to $15K | unknown | 28 d | +0.2% | Senate eFD search |
| Jul 21, 2025 | PWR PWR | Purchase | $1,001 to $15K | unknown | 28 d | +1.2% | Senate eFD search |
| Jul 21, 2025 | NVDA NVDA | Purchase | $1,001 to $15K | unknown | 28 d | +0.3% | Senate eFD search |
| Jul 21, 2025 | BAC BAC | Purchase | $1,001 to $15K | unknown | 28 d | +0.4% | Senate eFD search |
| Jul 21, 2025 | ADSK ADSK | Purchase | $1,001 to $15K | unknown | 28 d | +1.5% | Senate eFD search |
| Jul 21, 2025 | LOW LOW | Purchase | $1,001 to $15K | unknown | 28 d | +4.0% | Senate eFD search |
| Jul 21, 2025 | TMO TMO | Sale | $1,001 to $15K | unknown | 28 d | −18.4% | Senate eFD search |
| Jul 21, 2025 | NFLX NFLX | Purchase | $1,001 to $15K | unknown | 28 d | −7.4% | Senate eFD search |
| Jul 21, 2025 | KEX KEX | Purchase | $1,001 to $15K | unknown | 28 d | +3.2% | Senate eFD search |
| Jul 21, 2025 | AMD AMD | Purchase | $1,001 to $15K | unknown | 28 d | +8.6% | Senate eFD search |
| Jul 21, 2025 | MSFT MSFTCommittee | Purchase | $1,001 to $15K | unknown | 28 d | −0.7% | Senate eFD search |
| Jul 21, 2025 | UBER UBER | Purchase | $1,001 to $15K | unknown | 28 d | −2.5% | Senate eFD search |
| Jul 21, 2025 | ANET ANET | Purchase | $1,001 to $15K | unknown | 28 d | +2.9% | Senate eFD search |
| Jul 15, 2025 | UNH UNH | Sale | $1,001 to $15K | unknown | 34 d | +1.5% | Senate eFD search |
| Mar 7, 2024 | VZ VZ | Purchase | $1,001 to $15K | unknown | 41 d | +0.4% | Senate eFD search |
| Dec 27, 2023 | VZ VZ | Sale | $1,001 to $15K | unknown | 20 d | −6.6% | Senate eFD search |
| Dec 27, 2023 | EA EA | Purchase | $1,001 to $15K | unknown | 20 d | – | Senate eFD search |
| May 19, 2023 | MMM MMM | Sale | $1,001 to $15K | unknown | 32 d | +1.5% | Senate eFD search |
| Mar 20, 2023 | USB USB | Sale | $1,001 to $15K | unknown | 24 d | −1.4% | Senate eFD search |
| Dec 21, 2022 | EA EA | Purchase | $1,001 to $15K | unknown | 28 d | – | Senate eFD search |
| Dec 19, 2022 | ADBE ADBE | Sale | $1,001 to $15K | unknown | 30 d | −2.2% | Senate eFD search |
| Jun 24, 2021 | TMO TMO | Purchase | $1,001 to $15K | unknown | 34 d | +1.7% | Senate eFD search |
| Jun 24, 2021 | ADBE ADBE | Purchase | $1,001 to $15K | unknown | 34 d | +0.1% | Senate eFD search |
| Sep 28, 2020 | MAINE STATE HSG AUTH REV Rate/Coupon: 2.60% Matures: 11/15/2022 | Sale | $15K to $50K | spouse | 9 d | – | Filing |
| Aug 18, 2020 | VZ Verizon Communications Inc. | Purchase | $1,001 to $15K | spouse | 29 d | −0.4% | Filing |
| Aug 18, 2020 | SLB Schlumberger LimitedCommittee | Sale | $1,001 to $15K | spouse | 29 d | +3.6% | Filing |
| Aug 18, 2020 | XOM Exxon Mobil CorporationCommittee | Sale | $1,001 to $15K | spouse | 29 d | +4.4% | Filing |
| Aug 18, 2020 | COP ConocoPhillipsCommittee | Sale | $1,001 to $15K | spouse | 29 d | +5.6% | Filing |
| Sep 10, 2019 | ME Muni Bond Waterville ME GO Rate/Coupon: 2.0% Matures: 10/01/2023 | Purchase | $15K to $50K | spouse | 41 d | – | Filing |