Sen. Gary C. Peters
Democrat · Senator from MI
No test fits; open questions on event timing (abnormal returns), disclosure timeliness, policy-topic overlap and more.
Scorecard
Select a test to see the estimate, interval, adjusted p-values and robustness checks.
T4Event timing (abnormal returns)Across 62 priced trades, purchases and sales moved 0.67% 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) = 0.0067; 90% KP interval [-0.0314, 0.0447]; t_BMP = 0.75, r-bar = 0.089, t_KP = 0.28, Patell Z = 0.80, Corrado Z = 1.35. Dollar-weighted identified set [-0.0377, 0.0674]. Calendar-time alpha 1.77%/yr (NW t = 0.14, 826 days).
- Evidence
- Statistical
- Mean signed 21-day CAR
- +0.67% [−3.14%, +4.47%] 90%
- p-value
- 0.444
- 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 | 62 |
| theta | 0.0067 |
| ci | [-0.0314, 0.0447] |
| p | 0.3892 |
| t_kp | 0.2828 |
| rbar | 0.0886 |
| se_cs | 0.0086 |
| se_kp | 0.0228 |
| t_cs | 0.7755 |
| t_bmp | 0.7497 |
| patell_z | 0.7950 |
| corrado_z | 1.3536 |
| dollar_weighted_bounds | [-0.0377, 0.0674] |
| calendar_time | [object Object] |
| calendar_alpha_ci | [-7.65e-4, 9.05e-4] |
| by_horizon | [object Object] |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | +0.19% |
| Horizon 63 days | Open question | −0.10% |
| Excluding largest batch date | Open question | +0.94% |
| Self-owned accounts only | Open question | −0.03% |
| Dollar-weighted (bounds) | Open question | +6.74% |
| Calendar-time alpha (annualized) | +1.77% |
T7Disclosure timeliness4 of 201 trades (2.0%) were disclosed late; median lag 20 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 0.020, Wilson [0.009, 0.044]; 90th percentile lag 29 days; longest 262 days.
- Evidence
- Descriptive
- Late share
- 2.0% [0.9%, 4.4%] 90%
All computed statistics (15)
| n | 201 |
| amendment_rows_excluded | 0 |
| late | 4 |
| late_from_trade | 4 |
| excused_by_notification | 0 |
| late_share | 0.0199 |
| late_ci | [0.0090, 0.0436] |
| median_lag | 20 |
| p90_lag | 29 |
| max_lag | 262 |
| filings | 88 |
| late_filings | 3 |
| late_priced | 1 |
| timely_priced | 61 |
| late_priced_dates | 1 |
T9Policy-topic overlap13 trades in industries the member's committees oversee came in the month before a committee or floor action on a bill; they moved +2.20% in the trade's favour, +1.94% relative to the member's other trades.Open question
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 = 0.0220; pre-event minus other trades = 0.0194 [-0.0336, 0.0558], p = 0.228; mean pre-trade drift psi = 0.0058.
- Evidence
- Statistical
- Pre-event minus other trades, signed CAR
- +1.94% [−3.36%, +5.58%] 90%
- p-value
- 0.228
- Holm-adjusted p
- 1.000
- BH q-value
- 0.715
- Margin δ
- 0.5% per trade
- Robust to variants
- Yes
All computed statistics (13)
| n | 13 |
| n_other | 49 |
| theta9 | 0.0220 |
| diff | 0.0194 |
| ci | [-0.0336, 0.0558] |
| p | 0.2280 |
| pre_trade_drift | 0.0058 |
| pre_trade_drift_significant | false |
| events | 6031 |
| events_by_kind | [object Object] |
| affected_share_of_priced_trades | 0.2063 |
| trade_dates | 10 |
| placebo_reading | – |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Window 15 days | Open question | +1.94% |
| Window 60 days | Open question | +1.94% |
| Excluding largest batch date | Open question | +1.18% |
| Placebo: month after events | – |
T13Co-trading with other members15% of trades had another member trading the same stock the same way within a week (chance alone: 7%).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 0.149; circular-shift null mean 0.066, 95th pct 0.115, p = 0.020. Co-traded signed CAR -0.0050, p = 0.571.
- Evidence
- Statistical
- Co-traded share
- 14.9%
- p-value
- 0.571
- Holm-adjusted p
- 1.000
- BH q-value
- 0.902
- Robust to variants
- Yes
All computed statistics (10)
| n | 87 |
| cotraded_share | 0.1494 |
| null_mean | 0.0658 |
| null_p95 | 0.1149 |
| excess_p | 0.0200 |
| cotraded_share_wo_top | 0.1494 |
| excess_p_wo_top | 0.0300 |
| cotraded_car | -0.0050 |
| cotraded_car_ci | [-0.0466, 0.0367] |
| cotraded_car_p | 0.5713 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Open question | 14.9% |
T1Trade size90% of 87 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 0.897, 90% Wilson [0.830, 0.939]. 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
- 89.7% [83.0%, 93.9%] 90%
- p-value
- 1.000
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (9)
| n | 87 |
| lowest_band_share | 0.8966 |
| lowest_band_ci | [0.8304, 0.9388] |
| share_over_50k | 0.0115 |
| max_z | 0 |
| size_gap | 0 |
| size_gap_p | 1 |
| event_linked | 5 |
| event_linked_outliers | 0 |
T2Breadth and concentration59 different companies; the effective number of equally sized positions is 21 and trading spans 87% 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 0.048 (identified set [0.019, 0.188]); trade-count HHI 0.021 vs. 95th percentile 0.016 of 87 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.87 [0.82, 0.96]. Top three issuers (NUE, O, WPC) carry at least 7% of dollar volume.
- Evidence
- Statistical
- Effective number of issuers
- 21 [5, 54] 90%
All computed statistics (13)
| n | 87 |
| issuers | 59 |
| hhi_mid | 0.0476 |
| hhi_bounds | [0.0185, 0.1885] |
| n_eff | 21.0275 |
| hhi_count | 0.0210 |
| peer_benchmark_p95 | 0.0163 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.8679 |
| sector_entropy_ci | [0.8161, 0.9608] |
| top3_share_lower | 0.0692 |
| top3 | [NUE, O, WPC] |
| top3_tied_to_events | false |
T3Cadence and event proximity11% of trading days were batches of three or more companies; 0% of trades look routine; 5.7% of trades came within five trading days before a large company-specific move (chance alone: 4.6%).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 6/57, Wilson [0.06, 0.19]; index of dispersion 1.94 (chi-square p = 5.93e-200); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.057 vs. circular-shift null mean 0.046, p = 0.352.
- Evidence
- Statistical
- Batch-day share
- 10.5% [5.5%, 19.1%] 90%
- p-value
- 0.352
- Holm-adjusted p
- 1.000
- BH q-value
- 0.774
All computed statistics (14)
| n | 87 |
| trade_days | 57 |
| batch_share_trades | 0.2414 |
| batch_day_share | 0.1053 |
| batch_day_ci | [0.0554, 0.1909] |
| dispersion_index | 1.9396 |
| dispersion_p | 0 |
| routine_share | 0 |
| proximity_share | 0.0575 |
| proximity_null_mean | 0.0456 |
| proximity_null_p95 | 0.0920 |
| proximity_p | 0.3520 |
| proximity_nonroutine | 0.0575 |
| proximity_routine | 0 |
T8Committee overlap16% of the member's mapped trading by dollar value was in industries their committees oversee, against 23% 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 SSAP, SSAS, SSCM, SSGA; jurisdiction sectors Aerospace & Defense, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Communication Services, IT Consulting & Other Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Semiconductors, Systems Software. Dollar share 0.155 (identified set [0.025, 0.557], bootstrap 0.058-0.297); benchmarks S&P 500 0.152, congressional peers 0.234.
- Evidence
- Descriptive
- Jurisdiction excess share
- -7.9% [-17.6%, 6.3%] 90%
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (15)
| n | 63 |
| in_jurisdiction_trades | 13 |
| share | 0.1554 |
| share_bounds | [0.0252, 0.5568] |
| share_ci | [0.0579, 0.2972] |
| benchmark_sp500 | 0.1525 |
| benchmark_peers | 0.2343 |
| excess | -0.0789 |
| excess_ci | [-0.1763, 0.0629] |
| committees | [SSAP, SSAS, SSCM, SSGA] |
| jurisdiction_sectors | [Aerospace & Defense, Air Freight & Logistics, Automobile Manufacturers, Cargo Ground Transportation, Communication Services, IT Consulting & Other Services, Interactive Media & Services, Passenger Airlines, Rail Transportation, Semiconductors, Systems Software] |
| 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 76% 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 0.0067, 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 | 0.0067 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.7612 |
| 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 |
T5Direction before market-wide shocksBefore 2 large market moves, the member's net trading pointed the right way 1 times.Inconclusive (too few trades)
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 0.50, Clopper-Pearson 90% [0.03, 0.97]; exact one-sided p = 0.750; magnitude-weighted sign-flip p = 0.747. 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
- 50.0% [2.5%, 97.5%] 90%
- p-value
- 0.750
- 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 | 1 |
| hit_rate | 0.5000 |
| ci | [0.0253, 0.9747] |
| p_exact | 0.7500 |
| p_magnitude | 0.7467 |
| episodes | [[object Object], [object Object]] |
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
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 2014-01-13 (permutation p = 0.344).
- Evidence
- Descriptive
All computed statistics (5)
| changepoint | 2014-01-13 |
| changepoint_LR | 6.1782 |
| changepoint_p | 0.3440 |
| tradeday_rate_before | 0.2000 |
| tradeday_rate_after | 0.0168 |
T12Anticipation of large stock moves10 trades were followed within two weeks by a large company-specific move; 4 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 0.40, Clopper-Pearson [0.15, 0.70], exact one-sided p = 0.828; threshold |AR| > 3 sigma.
- Evidence
- Statistical
- Hit rate
- 40.0% [15.0%, 69.6%] 90%
- p-value
- 0.828
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (6)
| n | 10 |
| hits | 4 |
| hit_rate | 0.4000 |
| ci | [0.1500, 0.6965] |
| priced | 63 |
| share_followed | 0.1587 |
T14Family-account trades2% of trades were in a spouse's or dependent's name; returns not computed for them.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
2% of trades were in a spouse's or dependent's name; returns not computed for them.
- Evidence
- Descriptive
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (3)
| family_trades | 1 |
| family_share | 0.0185 |
| owner_unknown | 33 |
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-2.27%
S&P 500 (SPY) daily move (Jul 24, 2024)
Right way.
2 trade(s) in the prior five trading days+2.49%
S&P 500 (SPY) daily move (Nov 6, 2024)
Wrong way.
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| NUE Nucor CORP | 3 | $52K to $130K |
| O O | 3 | $31K to $115K |
| WPC W.P. Carey Inc. REIT | 3 | $17K to $80K |
| IFF IFF | 2 | $16K to $65K |
| Prospect CPTL CORP | 1 | $15K to $50K |
| Ford Motor Credit Co LLC | 1 | $15K to $50K |
| Kalamazoo MICH Public Schools | 1 | $15K to $50K |
| UBS UBS AG Ordinary Shares | 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 | |
|---|---|---|---|---|---|---|---|
| Jul 23, 2026 | O O | Purchase | $1,001 to $15K | unknown | 15 d | −0.7% | Senate eFD search |
| Jun 29, 2026 | T TCommittee | Purchase | $1,001 to $15K | unknown | 3 d | −2.9% | Senate eFD search |
| May 21, 2026 | KHC KHC | Purchase | $1,001 to $15K | unknown | 21 d | +2.0% | Senate eFD search |
| Apr 23, 2026 | CTVA CTVA | Sale | $15K to $50K | unknown | 18 d | −0.7% | Senate eFD search |
| Jan 12, 2026 | WPC WPC | Purchase | $15K to $50K | unknown | 8 d | +4.9% | Senate eFD search |
| Jan 12, 2026 | SWK SWK | Purchase | $15K to $50K | unknown | 8 d | – | Senate eFD search |
| Dec 12, 2025 | INTC INTCCommittee | Sale | $15K to $50K | unknown | 26 d | +4.3% | Senate eFD search |
| Dec 12, 2025 | VZ VZCommittee | Purchase | $1,001 to $15K | unknown | 26 d | −2.6% | Senate eFD search |
| Nov 14, 2025 | CAG CAG | Purchase | $1,001 to $15K | unknown | 20 d | +2.8% | Senate eFD search |
| Jul 10, 2025 | OGN OGN | Sale | $1,001 to $15K | unknown | 137 d | – | Senate eFD search |
| Oct 31, 2024 | LW LW | Sale | $1,001 to $15K | unknown | 14 d | +0.8% | Senate eFD search |
| Oct 31, 2024 | LEG LEG | Sale | $1,001 to $15K | unknown | 14 d | – | Senate eFD search |
| Oct 17, 2024 | IVZ IVZ | Sale | $1,001 to $15K | unknown | 28 d | +2.8% | Senate eFD search |
| Jul 17, 2024 | OTIS OTIS | Sale | $1,001 to $15K | unknown | 19 d | +5.0% | Senate eFD search |
| May 14, 2024 | CCL CCL | Sale | $1,001 to $15K | unknown | 9 d | −8.1% | Senate eFD search |
| May 14, 2024 | IFF IFF | Sale | $15K to $50K | unknown | 9 d | −0.1% | Senate eFD search |
| May 14, 2024 | SOLV SOLV | Sale | $1,001 to $15K | unknown | 9 d | – | Senate eFD search |
| May 14, 2024 | SLB SLB | Sale | $1,001 to $15K | unknown | 9 d | +1.9% | Senate eFD search |
| Dec 28, 2023 | D D | Sale | $1,001 to $15K | unknown | 28 d | −6.0% | Senate eFD search |
| Jun 6, 2023 | IFF IFF | Purchase | $1,001 to $15K | unknown | 24 d | −2.9% | Senate eFD search |
| Mar 14, 2023 | O O | Purchase | $15K to $50K | unknown | 29 d | −4.6% | Senate eFD search |
| Mar 14, 2023 | TFC TFC | Purchase | $1,001 to $15K | unknown | 29 d | +4.4% | Senate eFD search |
| Mar 13, 2023 | NUE NUE | Sale | $50K to $100K | unknown | 30 d | +8.4% | Senate eFD search |
| Dec 12, 2022 | WBD WBD | Sale | $1,001 to $15K | unknown | 29 d | – | Senate eFD search |
| Jan 3, 2022 | IBM IBMCommittee | Purchase | $1,001 to $15K | unknown | 5 d | +1.0% | Senate eFD search |
| Dec 7, 2021 | HBAN HBAN | Purchase | $1,001 to $15K | unknown | 32 d | −0.8% | Senate eFD search |
| Nov 29, 2021 | CAG CAG | Purchase | $1,001 to $15K | unknown | 8 d | +1.3% | Senate eFD search |
| Nov 29, 2021 | OFC OFC | Purchase | $1,001 to $15K | unknown | 8 d | – | Senate eFD search |
| Aug 27, 2021 | FSK FSK | Purchase | $1,001 to $15K | unknown | 262 d | −0.7% | Senate eFD search |
| Jul 21, 2021 | O O | Purchase | $15K to $50K | unknown | 13 d | −0.6% | Senate eFD search |
| Jun 7, 2021 | JNPR JNPR | Purchase | $1,001 to $15K | unknown | 29 d | – | Senate eFD search |
| May 25, 2021 | SPG SPG | Purchase | $1,001 to $15K | unknown | 42 d | +7.0% | Senate eFD search |
| Apr 15, 2021 | VPU VPU | Purchase | $1,001 to $15K | unknown | 7 d | +0.9% | Senate eFD search |
| Jan 15, 2021 | STAG STAG Industrial, Inc. | Purchase | $1,001 to $15K | self | 18 d | −1.2% | Filing |
| Jan 15, 2021 | AEP American Electric Power Company, Inc. | Purchase | $1,001 to $15K | self | 18 d | +1.3% | Filing |
| Dec 14, 2020 | AEP American Electric Power Company, Inc. | Purchase | $1,001 to $15K | self | 22 d | −1.0% | Filing |
| Apr 3, 2020 | UNTD TECHNOLOGIES CORP COMMON STOCK (UTC) (Exchanged) RAYTHEON TECHNOLOGIES STOCK (RTX) (Received) | Exchange | $1,001 to $15K | self | 28 d | – | Filing |
| Feb 18, 2020 | ALLY FINL INC NTS B/E 02.200% 021525 DTD022120 Rate/Coupon: 02.200% Matures: 02/15/2025 | Purchase | $1,001 to $15K | self | 20 d | – | Filing |
| Jan 27, 2020 | BK OF NOVA SCOTIA NTS 02.500% 012927 DTD012920 Rate/Coupon: 02.500% Matures: 01/29/2027 | Purchase | $1,001 to $15K | self | 7 d | – | Filing |
| Jan 10, 2020 | COCA-COLA CO/THE B/E 02.125% 090629 DTD090619 Rate/Coupon: 02.125% Matures: 09/06/2029 | Purchase | $1,001 to $15K | self | 24 d | – | Filing |
| Jan 10, 2020 | KINGS PARK N Y CENT SCH DIST BDS 2019 NEW YORK ST AID INTERCEPT PROG Rate/Coupon: 2.00% Matures: 09/01/2033 | Purchase | $1,001 to $15K | self | 24 d | – | Filing |
| Dec 31, 2019 | WARRINGTON TWP PA GO BDS 2014 DUE 12/01/2029 (Exchanged) WARRINGTON TWP PA GO BDS 2014 DUE 12/01/2029 CALLABLE-NEXT PRICING CALL 12/01/2024 (Received) Rate/Coupon: 3.125% Matures: 12/01/2029 | Exchange | $1,001 to $15K | self | 25 d | – | Filing |
| Dec 31, 2019 | WARRINGTON TWP PA GO BDS 2014 DUE 12/01/2029 (Exchanged) WARRINGTON TWP PA GO BDS 2014 DUE 12/01/2029 PREREFUNDED 12/01/2024 (Received) Rate/Coupon: 3.125% Matures: 12/01/2029 | Exchange | $1,001 to $15K | self | 25 d | – | Filing |
| Dec 19, 2019 | ALEXANDRIA REAL ESTATE E 02.750% 121529 DTD091219 Rate/Coupon: 02.750% Matures: 12/15/29 | Purchase | $15K to $50K | self | 30 d | – | Filing |
| Dec 19, 2019 | DOW CHEMICAL CO/THE B/E 03.000% 121529 DTD121819 Rate/Coupon: 03.000% Matures: 12/15/29 | Purchase | $15K to $50K | self | 30 d | – | Filing |
| Dec 6, 2019 | BB&T CORP (Exchanged) Truist Financial Corporation (Received) | Exchange | $15K to $50K | self | 17 d | – | Filing |
| Nov 19, 2019 | SIMON PPTY GROUP LP B/E 02.450% 091329 DTD091319 Rate/Coupon: 02.450% Matures: 09/13/29 | Purchase | $1,001 to $15K | self | 29 d | – | Filing |
| Nov 13, 2019 | GEORGIA POWER CO B/E 02.650% 091529 DTD091019 Rate/Coupon: 02.650% Matures: 09/15/2029 | Purchase | $1,001 to $15K | self | 8 d | – | Filing |
| Aug 29, 2019 | VICTORIA TEX INDPT SCH DIST ULTD TAX REF BDS 2016 (Exchanged) VICTORIA TEX INDPT SCH DIST UNREFUNDED BALANCE-REF (Received) Rate/Coupon: 3.125% Matures: 02/15/2038 | Exchange | $1,001 to $15K | self | 32 d | – | Filing |
| Aug 29, 2019 | VICTORIA TEX INDPT SCH DIST ULTD TAX REF BDS 2016 (Exchanged) VICTORIA TEX INDPT SCH DIST PREREFUNDED-REF (Received) Rate/Coupon: 3.125% Matures: 02/15/2038 | Exchange | $1,001 to $15K | self | 32 d | – | Filing |