Rep. Bryan Steil
Republican · Representative, WI-1
No test fits; open questions on trade size, breadth and concentration.
Scorecard
Select a test to see the estimate, interval, adjusted p-values and robustness checks.
T1Trade size71% of 14 trades were in the lowest disclosure band ($1,001-$15,000); trades just before large company-specific moves were not larger than usual.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 0.714, 90% Wilson [0.494, 0.865]. 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
- 71.4% [49.4%, 86.5%] 90%
- p-value
- 1.000
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
All computed statistics (9)
| n | 14 |
| lowest_band_share | 0.7143 |
| lowest_band_ci | [0.4945, 0.8647] |
| share_over_50k | 0.1429 |
| max_z | 0 |
| size_gap | 0 |
| size_gap_p | 1 |
| event_linked | 2 |
| event_linked_outliers | 0 |
T2Breadth and concentration7 different companies; the effective number of equally sized positions is 2 and trading spans 6% 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 0.422 (identified set [0.188, 0.710]); trade-count HHI 0.143 vs. 95th percentile 0.082 of 14 random draws from all congressional trades (p = 0.002). Normalized sector entropy 0.06 [nan, nan]. Top three issuers (FISV, FIS, ASB) carry at least 52% of dollar volume.
- Evidence
- Statistical
- Effective number of issuers
- 2 [1, 5] 90%
All computed statistics (13)
| n | 14 |
| issuers | 7 |
| hhi_mid | 0.4221 |
| hhi_bounds | [0.1883, 0.7103] |
| n_eff | 2.3690 |
| hhi_count | 0.1429 |
| peer_benchmark_p95 | 0.0816 |
| peer_benchmark_p | 0.0020 |
| sector_entropy | 0.0605 |
| sector_entropy_ci | [–, –] |
| top3_share_lower | 0.5238 |
| top3 | [FISV, FIS, ASB] |
| top3_tied_to_events | true |
T3Cadence and event proximity100% of trading days were batches of three or more companies; 50% of trades look routine; 14.3% of trades came within five trading days before a large company-specific move (chance alone: 10.5%).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 2/2, Wilson [0.43, 1.00]; index of dispersion 5.83 (chi-square p = 4.31e-06); routine share 0.50 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.143 vs. circular-shift null mean 0.105, p = 0.602.
- Evidence
- Statistical
- Batch-day share
- 100.0% [42.5%, 100.0%] 90%
- p-value
- 0.602
- Holm-adjusted p
- 1.000
- BH q-value
- 0.967
All computed statistics (14)
| n | 14 |
| trade_days | 2 |
| batch_share_trades | 1 |
| batch_day_share | 1 |
| batch_day_ci | [0.4250, 1] |
| dispersion_index | 5.8333 |
| dispersion_p | 4.00e-6 |
| routine_share | 0.5000 |
| proximity_share | 0.1429 |
| proximity_null_mean | 0.1055 |
| proximity_null_p95 | 0.1429 |
| proximity_p | 0.6020 |
| proximity_nonroutine | 0.1429 |
| proximity_routine | 0.1429 |
T7Disclosure timeliness0 of 7 trades (0.0%) were disclosed late; median lag 0 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, 0.279]; 90th percentile lag 0 days; longest 0 days.
- Evidence
- Descriptive
- Late share
- 0.0% [0.0%, 27.9%] 90%
All computed statistics (15)
| n | 7 |
| amendment_rows_excluded | 7 |
| late | 0 |
| late_from_trade | 0 |
| excused_by_notification | 0 |
| late_share | 0 |
| late_ci | [0, 0.2788] |
| median_lag | 0 |
| p90_lag | 0 |
| max_lag | 0 |
| filings | 1 |
| late_filings | 0 |
| late_priced | 0 |
| timely_priced | 14 |
| late_priced_dates | 0 |
T8Committee overlap97% 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 HSBA, HSHA, JSLC, JSPR; jurisdiction sectors Financials, Real Estate. Dollar share 0.967 (identified set [0.821, 0.995], bootstrap nan-nan); benchmarks S&P 500 0.212, congressional peers 0.232.
- Evidence
- Descriptive
- Jurisdiction excess share
- 73.5%
- Margin δ
- 0.5% per trade over 21 days
All computed statistics (11)
| n | 14 |
| in_jurisdiction_trades | 12 |
| share | 0.9670 |
| share_bounds | [0.8214, 0.9953] |
| share_ci | [–, –] |
| benchmark_sp500 | 0.2119 |
| benchmark_peers | 0.2316 |
| excess | 0.7355 |
| excess_ci | [–, –] |
| committees | [HSBA, HSHA, JSLC, JSPR] |
| jurisdiction_sectors | [Financials, Real Estate] |
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 12% 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 -0.0217, 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 | -0.0217 |
| posterior_mean | -0.0028 |
| posterior_sd | 0.0015 |
| congress_mean | -0.0028 |
| tau2 | 0 |
| percentile | 0.1194 |
| members_compared | 134 |
| lower95 | -0.0058 |
T13Co-trading with other members7% of trades had another member trading the same stock the same way within a week (chance alone: 8%).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 0.071; circular-shift null mean 0.082, 95th pct 0.143, p = 0.680.
- Evidence
- Statistical
- Co-traded share
- 7.1%
- Robust to variants
- Yes
All computed statistics (7)
| n | 14 |
| cotraded_share | 0.0714 |
| null_mean | 0.0815 |
| null_p95 | 0.1429 |
| excess_p | 0.6800 |
| cotraded_share_wo_top | 0.0714 |
| excess_p_wo_top | 0.6800 |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Without M001157, the member with the most trades, in the co-trade index | Does not fit | 7.1% |
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 14 priced trades, purchases and sales moved 2.17% 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) = -0.0217; 90% KP interval [-0.0797, 0.0363]; t_BMP = -1.00, r-bar = 0.158, t_KP = -0.52, Patell Z = -1.40, Corrado Z = -0.58. Dollar-weighted identified set [-0.1188, -0.0485].
- Evidence
- Statistical
- Mean signed 21-day CAR
- −2.17% [−7.97%, +3.63%] 90%
- p-value
- 0.696
- 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 | 14 |
| theta | -0.0217 |
| ci | [-0.0797, 0.0363] |
| p | 0.6957 |
| t_kp | -0.5248 |
| rbar | 0.1582 |
| se_cs | 0.0172 |
| se_kp | 0.0327 |
| t_cs | -1.2633 |
| t_bmp | -0.9999 |
| patell_z | -1.3951 |
| corrado_z | -0.5811 |
| dollar_weighted_bounds | [-0.1188, -0.0485] |
| calendar_time | – |
| calendar_alpha_ci | [–, –] |
| by_horizon | [object Object] |
| Robustness variant | Reading | Estimate |
|---|---|---|
| Horizon 5 days | Open question | −1.85% |
| Horizon 63 days | Open question | −2.25% |
| Excluding largest batch date | Not assessed | −1.59% |
| Self-owned accounts only | Open question | −2.17% |
| Dollar-weighted (bounds) | Does not fit | −4.85% |
T5Direction before market-wide shocksNo market-wide shocks or documented events fell within five trading days after the member's trades.Not assessed
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
No market-wide shocks or documented events fell within five trading days after the member's trades.
- Evidence
- Descriptive
- Margin δ
- 10 points above a coin flip
All computed statistics (1)
| n_episodes | 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 overlap12 priced trades fell in affected industries in the 30 days before the member's committee events and 2 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
12 priced trades fell in affected industries in the 30 days before the member's committee events and 2 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 | 12 |
| n_other | 2 |
| events | 2150 |
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 None (permutation p = 1.000).
- Evidence
- Descriptive
All computed statistics (5)
| changepoint | – |
| changepoint_LR | – |
| changepoint_p | 1 |
| tradeday_rate_before | – |
| tradeday_rate_after | – |
T12Anticipation of large stock moves3 trades were followed within two weeks by a large company-specific move; 0 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 0.00, Clopper-Pearson [0.00, 0.63], exact one-sided p = 1.000; threshold |AR| > 3 sigma.
- Evidence
- Statistical
- Hit rate
- 0.0% [0.0%, 63.2%] 90%
- p-value
- 1.000
- Holm-adjusted p
- 1.000
- BH q-value
- 1.000
- Margin δ
- 10 points above a coin flip
All computed statistics (6)
| n | 3 |
| hits | 0 |
| hit_rate | 0 |
| ci | [0, 0.6316] |
| priced | 14 |
| share_followed | 0.2143 |
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 |
Largest positions traded
| Company | Trades | Disclosed value |
|---|---|---|
| FISV Fiserv, Inc. | 2 | $100K to $200K |
| FIS Fidelity National Information Services, Inc. | 2 | $30K to $100K |
| ASB Associated Banc-Corp | 2 | $2,002 to $30K |
| BMO Bank of Montreal | 2 | $2,002 to $30K |
| JPM JP Morgan Chase & Co. | 2 | $2,002 to $30K |
| MRK Merck & Company, Inc. Common Stock | 2 | $2,002 to $30K |
| USB U.S. Bancorp | 2 | $2,002 to $30K |
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 22, 2019 | ASB Associated Banc-CorpCommittee | Sale | $1,001 to $15K | self | 0 d | −4.4% | Filing |
| Jul 22, 2019 | BMO Bank of MontrealCommittee | Sale | $1,001 to $15K | self | 0 d | −0.5% | Filing |
| Jul 22, 2019 | FIS Fidelity National Information Services, Inc.Committee | Sale | $15K to $50K | self | 0 d | −3.0% | Filing |
| Jul 22, 2019 | FISV Fiserv, Inc.Committee | Sale | $50K to $100K | self | 0 d | −8.1% | Filing |
| Jul 22, 2019 | JPM JP Morgan Chase & Co.Committee | Sale | $1,001 to $15K | self | 0 d | −0.4% | Filing |
| Jul 22, 2019 | MRK Merck & Company, Inc. Common Stock | Sale | $1,001 to $15K | self | 0 d | −0.1% | Filing |
| Jul 22, 2019 | USB U.S. BancorpCommittee | Sale | $1,001 to $15K | self | 0 d | −2.2% | Filing |
| Jul 12, 2019 | ASB Associated Banc-CorpCommittee | Sale | $1,001 to $15K | self | 10 d | +0.3% | Filing |
| Jul 12, 2019 | BMO Bank of MontrealCommittee | Sale | $1,001 to $15K | self | 10 d | +0.7% | Filing |
| Jul 12, 2019 | FIS Fidelity National Information Services, Inc.Committee | Sale | $15K to $50K | self | 10 d | −1.1% | Filing |
| Jul 12, 2019 | FISV Fiserv, Inc.Committee | Sale | $50K to $100K | self | 10 d | −1.9% | Filing |
| Jul 12, 2019 | JPM JP Morgan Chase & Co.Committee | Sale | $1,001 to $15K | self | 10 d | +0.5% | Filing |
| Jul 12, 2019 | MRK Merck & Company, Inc. Common Stock | Sale | $1,001 to $15K | self | 10 d | −2.3% | Filing |
| Jul 12, 2019 | USB U.S. BancorpCommittee | Sale | $1,001 to $15K | self | 10 d | −3.4% | Filing |