Rep. Lloyd Doggett
Democrat · Representative, TX-37
No test fits; open questions on breadth and concentration, disclosure timeliness, co-trading with other members.
Scorecard
Select a test to see the estimate, interval, adjusted p-values and robustness checks.
T2Breadth and concentration7 different companies; the effective number of equally sized positions is 4 and trading spans 62% 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 0.249 (identified set [0.146, 0.664]); trade-count HHI 0.178 vs. 95th percentile 0.008 of 234 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.62 [0.60, 0.65]. Top three issuers (WFM, PG, IBM) carry at least 23% of dollar volume.
- Evidence
- Statistical
- Effective number of issuers
- 4 [2, 7] 90%
All computed statistics (13)
| n | 234 |
| issuers | 7 |
| hhi_mid | 0.2493 |
| hhi_bounds | [0.1463, 0.6639] |
| n_eff | 4.0117 |
| hhi_count | 0.1777 |
| peer_benchmark_p95 | 0.0078 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.6227 |
| sector_entropy_ci | [0.6030, 0.6540] |
| top3_share_lower | 0.2280 |
| top3 | [WFM, PG, IBM] |
| top3_tied_to_events | true |
T7Disclosure timeliness1 of 236 trades (0.4%) were disclosed late; median lag 24 days. Another 4 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 0.004, Wilson [0.001, 0.019]; 90th percentile lag 35 days; longest 117 days.
- Evidence
- Descriptive
- Late share
- 0.4% [0.1%, 1.9%] 90%
- Robust to variants
- Yes
All computed statistics (15)
| n | 236 |
| amendment_rows_excluded | 0 |
| late | 1 |
| late_from_trade | 5 |
| excused_by_notification | 4 |
| late_share | 0.0042 |
| late_ci | [9.46e-4, 0.0188] |
| median_lag | 24 |
| p90_lag | 35 |
| max_lag | 117 |
| filings | 126 |
| late_filings | 1 |
| late_priced | 0 |
| timely_priced | 233 |
| late_priced_dates | 0 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Late from the trade date alone, ignoring notification dates | Open question | 2.1% |
T13Co-trading with other members24% of trades had another member trading the same stock the same way within a week (chance alone: 16%).Open question
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 0.239; circular-shift null mean 0.157, 95th pct 0.201, p = 0.020. Co-traded signed CAR -0.0054, p = 0.587.
- Evidence
- Statistical
- Co-traded share
- 23.9%
- p-value
- 0.587
- Holm-adjusted p
- 1.000
- BH q-value
- 0.902
- Robust to variants
- Yes
All computed statistics (10)
| n | 234 |
| cotraded_share | 0.2393 |
| null_mean | 0.1570 |
| null_p95 | 0.2009 |
| excess_p | 0.0200 |
| cotraded_share_wo_top | 0.2265 |
| excess_p_wo_top | 0.0100 |
| cotraded_car | -0.0054 |
| cotraded_car_ci | [-0.0492, 0.0383] |
| cotraded_car_p | 0.5874 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Open question | 22.6% |
T1Trade size100% of 234 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 0.996, 90% Wilson [0.981, 0.999]. 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
- 99.6% [98.1%, 99.9%] 90%
- p-value
- 1.000
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (9)
| n | 234 |
| lowest_band_share | 0.9957 |
| lowest_band_ci | [0.9811, 0.9990] |
| share_over_50k | 0.0043 |
| max_z | 0 |
| size_gap | 0 |
| size_gap_p | 1 |
| event_linked | 8 |
| event_linked_outliers | 0 |
T3Cadence and event proximity0% of trading days were batches of three or more companies; 74% of trades look routine; 3.4% of trades came within five trading days before a large company-specific move (chance alone: 7.9%).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 0/216, Wilson [0.00, 0.01]; index of dispersion 1.08 (chi-square p = 0.000561); routine share 0.74 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.034 vs. circular-shift null mean 0.079, p = 0.976.
- Evidence
- Statistical
- Batch-day share
- 0.0% [0.0%, 1.2%] 90%
- p-value
- 0.976
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (14)
| n | 234 |
| trade_days | 216 |
| batch_share_trades | 0 |
| batch_day_share | 0 |
| batch_day_ci | [0, 0.0124] |
| dispersion_index | 1.0826 |
| dispersion_p | 5.61e-4 |
| routine_share | 0.7393 |
| proximity_share | 0.0342 |
| proximity_null_mean | 0.0786 |
| proximity_null_p95 | 0.1752 |
| proximity_p | 0.9760 |
| proximity_nonroutine | 0 |
| proximity_routine | 0.0462 |
T5Direction before market-wide shocksBefore 21 large market moves, the member's net trading pointed the right way 5 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 0.24, Clopper-Pearson 90% [0.10, 0.44]; exact one-sided p = 0.996; magnitude-weighted sign-flip p = 0.980. 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
- 23.8% [9.9%, 43.7%] 90%
- p-value
- 0.996
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (7)
| n_episodes | 21 |
| hits | 5 |
| hit_rate | 0.2381 |
| ci | [0.0988, 0.4370] |
| p_exact | 0.9964 |
| p_magnitude | 0.9798 |
| episodes | [[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]] |
T8Committee overlap8% of the member's mapped trading by dollar value was in industries their committees oversee, against 14% 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 HSBU, HSWM, JSTX; jurisdiction sectors Distillers & Vintners, Health Care, Life & Health Insurance, Tobacco. Dollar share 0.077 (identified set [0.006, 0.556], bootstrap 0.046-0.120); benchmarks S&P 500 0.139, congressional peers 0.119.
- Evidence
- Descriptive
- Jurisdiction excess share
- -6.1% [-9.2%, -1.8%] 90%
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (15)
| n | 233 |
| in_jurisdiction_trades | 18 |
| share | 0.0773 |
| share_bounds | [0.0056, 0.5565] |
| share_ci | [0.0464, 0.1202] |
| benchmark_sp500 | 0.1386 |
| benchmark_peers | 0.1194 |
| excess | -0.0614 |
| excess_ci | [-0.0922, -0.0184] |
| committees | [HSBU, HSWM, JSTX] |
| jurisdiction_sectors | [Distillers & Vintners, Health Care, Life & Health Insurance, Tobacco] |
| regression_error | Error evaluating factor: TypeError: 'module' object is not callable y ~ J + C(sector) ^^^^^^^^^ |
| gamma1 | – |
| gamma1_ci | [–, –] |
| gamma1_p | – |
T9Policy-topic overlap18 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved -1.67% in the trade's favour, -1.70% relative to the member's other trades.Does not fit
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
theta_9 = -0.0167; pre-event minus other trades = -0.0170 [-0.0334, 0.0018], p = 0.946; mean pre-trade drift psi = -0.0014.
- Evidence
- Statistical
- Pre-event minus other trades, signed CAR
- −1.70% [−3.34%, +0.18%] 90%
- p-value
- 0.946
- Holm-adjusted p
- 1.000
- BH q-value
- 0.989
- Margin δ
- 0.5% per trade
- Robust to variants
- Yes
All computed statistics (13)
| n | 18 |
| n_other | 215 |
| theta9 | -0.0167 |
| diff | -0.0170 |
| ci | [-0.0334, 0.0018] |
| p | 0.9460 |
| pre_trade_drift | -0.0014 |
| pre_trade_drift_significant | false |
| events | 1493 |
| events_by_kind | [object Object] |
| affected_share_of_priced_trades | 0.0773 |
| trade_dates | 18 |
| placebo_reading | – |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Window 15 days | Does not fit | −2.19% |
| Window 60 days | Does not fit | −1.70% |
| Excluding largest batch date | Does not fit | −1.21% |
| Placebo: month after events | – |
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 52% 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 -0.0010, 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 | -9.95e-4 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.5224 |
| members_compared | 134 |
| lower95 | -0.0058 |
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 |
T4Event timing (abnormal returns)Across 233 priced trades, purchases and sales moved 0.10% 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) = -0.0010; 90% KP interval [-0.0418, 0.0398]; t_BMP = -0.23, r-bar = 0.249, t_KP = -0.03, Patell Z = -0.20, Corrado Z = -0.60. Dollar-weighted identified set [-0.0483, 0.0423]. Calendar-time alpha 3.63%/yr (NW t = 0.82, 2323 days).
- Evidence
- Statistical
- Mean signed 21-day CAR
- −0.10% [−4.17%, +3.98%] 90%
- p-value
- 0.510
- Holm-adjusted p
- 1.000
- BH q-value
- 0.983
- Margin δ
- 0.5% per trade over 21 days
- Robust to variants
- Yes
All computed statistics (16)
| n | 233 |
| theta | -9.95e-4 |
| ci | [-0.0418, 0.0398] |
| p | 0.5104 |
| t_kp | -0.0261 |
| rbar | 0.2489 |
| se_cs | 0.0028 |
| se_kp | 0.0247 |
| t_cs | -0.3567 |
| t_bmp | -0.2304 |
| patell_z | -0.2001 |
| corrado_z | -0.5960 |
| dollar_weighted_bounds | [-0.0483, 0.0423] |
| calendar_time | [object Object] |
| calendar_alpha_ci | [-1.46e-4, 4.34e-4] |
| by_horizon | [object Object] |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | −0.28% |
| Horizon 63 days | Open question | −0.34% |
| Excluding largest batch date | Open question | −0.10% |
| Self-owned accounts only | Open question | −0.10% |
| Dollar-weighted (bounds) | Open question | +4.23% |
| Calendar-time alpha (annualized) | +3.63% |
T6Control and independenceTrading arrangement: not documented; trading during absence ran at 2.00 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 2.00 times the normal rate.
- Evidence
- Statistical
- Absence rate ratio
- 2.00 [0.10, 9.56] 90%
All computed statistics (6)
| rate_ratio | 1.9994 |
| rate_ratio_ci | [0.1021, 9.5614] |
| rate_ratio_batchdays | 2.1668 |
| rate_ratio_batchdays_ci | [0.1106, 10.3688] |
| absence_days | 7 |
| trades_in_absence | 1 |
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 2017-02-16 (permutation p = 0.014).
- Evidence
- Descriptive
All computed statistics (5)
| changepoint | 2017-02-16 |
| changepoint_LR | 12.4015 |
| changepoint_p | 0.0140 |
| tradeday_rate_before | 0.0391 |
| tradeday_rate_after | 0.0744 |
T12Anticipation of large stock moves22 trades were followed within two weeks by a large company-specific move; 9 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 0.41, Clopper-Pearson [0.23, 0.60], exact one-sided p = 0.857; threshold |AR| > 3 sigma.
- Evidence
- Statistical
- Hit rate
- 40.9% [23.3%, 60.5%] 90%
- p-value
- 0.857
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (6)
| n | 22 |
| hits | 9 |
| hit_rate | 0.4091 |
| ci | [0.2327, 0.6048] |
| priced | 233 |
| share_followed | 0.0944 |
T14Family-account tradesNo trades were reported in a spouse's or dependent's name.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
No trades were reported in a spouse's or dependent's name.
- Evidence
- Descriptive
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (2)
| family_trades | 0 |
| owner_unknown | 0 |
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+2.47%
S&P 500 (SPY) daily move (Dec 18, 2014)
Right way.
1 trade(s) in the prior five trading days-3.01%
S&P 500 (SPY) daily move (Aug 21, 2015)
Wrong way.
1 trade(s) in the prior five trading days-4.21%
S&P 500 (SPY) daily move (Aug 24, 2015)
Wrong way.
1 trade(s) in the prior five trading days-3.59%
S&P 500 (SPY) daily move (Jun 24, 2016)
Wrong way.
2 trade(s) in the prior five trading days-1.56%
S&P 500 (SPY) daily move (Aug 17, 2017)
Right way.
1 trade(s) in the prior five trading days-2.23%
S&P 500 (SPY) daily move (Apr 6, 2018)
Wrong way.
1 trade(s) in the prior five trading days-3.32%
S&P 500 (SPY) daily move (Feb 24, 2020)
Wrong way.
1 trade(s) in the prior five trading days-3.03%
S&P 500 (SPY) daily move (Feb 25, 2020)
Wrong way.
1 trade(s) in the prior five trading days-9.57%
S&P 500 (SPY) daily move (Mar 12, 2020)
Wrong way.
1 trade(s) in the prior five trading days+8.55%
S&P 500 (SPY) daily move (Mar 13, 2020)
Right way.
2 trade(s) in the prior five trading days-10.94%
S&P 500 (SPY) daily move (Mar 16, 2020)
Wrong way.
2 trade(s) in the prior five trading days+5.4%
S&P 500 (SPY) daily move (Mar 17, 2020)
Right way.
2 trade(s) in the prior five trading days-5.06%
S&P 500 (SPY) daily move (Mar 18, 2020)
Wrong way.
1 trade(s) in the prior five trading days+6.72%
S&P 500 (SPY) daily move (Apr 6, 2020)
Right way.
1 trade(s) in the prior five trading days-4.03%
S&P 500 (SPY) daily move (May 18, 2022)
Wrong way.
3 trade(s) in the prior five trading days-3.8%
S&P 500 (SPY) daily move (Jun 13, 2022)
Wrong way.
3 trade(s) in the prior five trading days-4.35%
S&P 500 (SPY) daily move (Sep 13, 2022)
Wrong way.
3 trade(s) in the prior five trading days-2.98%
S&P 500 (SPY) daily move (Dec 18, 2024)
Wrong way.
1 trade(s) in the prior five trading days-2.66%
S&P 500 (SPY) daily move (Mar 10, 2025)
Wrong way.
2 trade(s) in the prior five trading days-4.93%
S&P 500 (SPY) daily move (Apr 3, 2025)
Wrong way.
1 trade(s) in the prior five trading days-5.85%
S&P 500 (SPY) daily move (Apr 4, 2025)
Wrong way.
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| WFM Whole Foods Market, Inc. | 1 | $500K to $1M |
| IBM International Business Machines Corporation | 49 | $49K to $735K |
| PG Procter & Gamble Company | 49 | $49K to $735K |
| HD Home Depot, Inc. | 44 | $44K to $660K |
| KO Coca-Cola Company | 38 | $38K to $570K |
| PPG PPG Industries, Inc. | 35 | $35K to $525K |
| JNJ Johnson & Johnson | 18 | $18K to $270K |
| IBM Corp | 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 | |
|---|---|---|---|---|---|---|---|
| Sep 17, 2026 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 18 d | −3.4% | Filing |
| Sep 11, 2026 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 24 d | −0.7% | Filing |
| Sep 10, 2026 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 25 d | +1.5% | Filing |
| Sep 8, 2026 | JNJ Johnson & Johnson Common StockCommittee | Purchase | $1,001 to $15K | self | 27 d | −1.9% | Filing |
| Aug 17, 2026 | PG Procter & Gamble Company | Purchase | $1,001 to $15K | self | 22 d | +2.3% | Filing |
| Jul 1, 2026 | KO Coca-Cola Company | Purchase | $1,001 to $15K | self | 35 d | +1.4% | Filing |
| Jun 18, 2026 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 18 d | +6.8% | Filing |
| Jun 12, 2026 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 24 d | −0.6% | Filing |
| Jun 10, 2026 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 26 d | −5.3% | Filing |
| Jun 9, 2026 | JNJ Johnson & Johnson Common StockCommittee | Purchase | $1,001 to $15K | self | 27 d | −1.7% | Filing |
| May 15, 2026 | PG Procter & Gamble Company | Purchase | $1,001 to $15K | self | 20 d | +2.2% | Filing |
| Apr 1, 2026 | KO Coca-Cola Company | Purchase | $1,001 to $15K | self | 35 d | +2.3% | Filing |
| Mar 26, 2026 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 11 d | −3.0% | Filing |
| Mar 12, 2026 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 25 d | −1.0% | Filing |
| Mar 10, 2026 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 27 d | +3.0% | Filing |
| Mar 10, 2026 | JNJ Johnson & Johnson Common StockCommittee | Purchase | $1,001 to $15K | self | 27 d | −2.9% | Filing |
| Feb 17, 2026 | PG Procter & Gamble Company | Purchase | $1,001 to $15K | self | 16 d | +3.8% | Filing |
| Dec 18, 2025 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 15 d | −2.6% | Filing |
| Dec 15, 2025 | KO Coca-Cola Company | Purchase | $1,001 to $15K | self | 18 d | −1.4% | Filing |
| Dec 12, 2025 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 21 d | −3.4% | Filing |
| Dec 12, 2025 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 21 d | −0.3% | Filing |
| Dec 9, 2025 | JNJ Johnson & Johnson Common StockCommittee | Purchase | $1,001 to $15K | self | 24 d | +4.1% | Filing |
| Jul 1, 2025 | KO Coca-Cola Company | Purchase | $1,001 to $15K | self | 34 d | −3.5% | Filing |
| Jun 18, 2025 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 19 d | +3.0% | Filing |
| Jun 12, 2025 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 25 d | −1.4% | Filing |
| Jun 10, 2025 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 27 d | +2.3% | Filing |
| Jun 10, 2025 | JNJ Johnson & Johnson Common StockCommittee | Purchase | $1,001 to $15K | self | 27 d | −2.8% | Filing |
| May 15, 2025 | PG Procter & Gamble Company | Purchase | $1,001 to $15K | self | 20 d | +1.4% | Filing |
| Apr 1, 2025 | KO Coca-Cola Company | Purchase | $1,001 to $15K | self | 34 d | −5.4% | Filing |
| Mar 27, 2025 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 11 d | +2.1% | Filing |
| Mar 12, 2025 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 26 d | +1.6% | Filing |
| Mar 10, 2025 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 28 d | −2.4% | Filing |
| Mar 4, 2025 | JNJ Johnson & Johnson Common StockCommittee | Purchase | $1,001 to $15K | self | 34 d | +0.1% | Filing |
| Feb 18, 2025 | PG Procter & Gamble Company | Purchase | $1,001 to $15K | self | 20 d | +4.0% | Filing |
| Dec 16, 2024 | KO Coca-Cola Company | Purchase | $1,001 to $15K | self | 23 d | −0.3% | Filing |
| Dec 12, 2024 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 27 d | −4.7% | Filing |
| Dec 12, 2024 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 27 d | −1.0% | Filing |
| Dec 10, 2024 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 29 d | −1.7% | Filing |
| Dec 10, 2024 | JNJ Johnson & Johnson Common StockCommittee | Purchase | $1,001 to $15K | self | 29 d | −2.0% | Filing |
| Nov 15, 2024 | PG Procter & Gamble Company | Purchase | $1,001 to $15K | self | 19 d | +3.6% | Filing |
| Oct 1, 2024 | KO Coca-Cola Company | Purchase | $1,001 to $15K | self | 35 d | −4.2% | Filing |
| Sep 12, 2024 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 28 d | +2.2% | Filing |
| Sep 12, 2024 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 28 d | +1.7% | Filing |
| Sep 10, 2024 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 30 d | +2.1% | Filing |
| Sep 10, 2024 | JNJ Johnson & Johnson Common StockCommittee | Purchase | $1,001 to $15K | self | 30 d | −0.5% | Filing |
| Aug 15, 2024 | PG Procter & Gamble Company | Purchase | $1,001 to $15K | self | 25 d | +1.1% | Filing |
| Jul 1, 2024 | KO Coca-Cola Company | Purchase | $1,001 to $15K | self | 35 d | −1.6% | Filing |
| Jun 13, 2024 | HD Home Depot, Inc. | Purchase | $1,001 to $15K | self | 20 d | +1.6% | Filing |
| Jun 12, 2024 | PPG PPG Industries, Inc. Common Stock | Purchase | $1,001 to $15K | self | 21 d | −2.0% | Filing |
| Jun 10, 2024 | IBM International Business Machines Corporation Common Stock | Purchase | $1,001 to $15K | self | 23 d | −2.3% | Filing |