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U.S. House of Representatives

Rep. Raul Ruiz

Democrat · Representative, CA-25

Energy and Commerce
Results across 16 tests
Fits patternOpen questionDoes not fitNot assessedScreening signal

No test fits; open questions on trade size, breadth and concentration.

Trades disclosed
12
Jan 2, 2015 to Jul 5, 2017
Companies traded
10
Disclosed value
$327K–$780K
Sum of reported ranges
Filed after 45 days
1
Median filing lag 27 days

Scorecard

Select a test to see the estimate, interval, adjusted p-values and robustness checks.

T1Trade size17% of 12 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 0.167, 90% Wilson [0.057, 0.399]. No firm-event calendar, so the event-linked size gap was not computed.

Evidence
Descriptive
Lowest-band share
16.7% [5.7%, 39.9%] 90%
0Estimate
This member16.7%
All computed statistics (5)
n12
lowest_band_share0.1667
lowest_band_ci[0.0568, 0.3992]
share_over_50k0.4167
max_z0.6745
T2Breadth and concentration10 different companies; the effective number of equally sized positions is 7 and trading spans 49% 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 0.147 (identified set [0.113, 0.215]); trade-count HHI 0.111 vs. 95th percentile 0.097 of 12 random draws from all congressional trades (p = 0.006). Normalized sector entropy 0.49 [0.28, 0.53]. Top three issuers (AAPL, V, ADP) carry at least 32% of dollar volume.

Evidence
Statistical
Effective number of issuers
7 [5, 9] 90%
0Estimate
This member7
All computed statistics (13)
n12
issuers10
hhi_mid0.1471
hhi_bounds[0.1129, 0.2153]
n_eff6.7962
hhi_count0.1111
peer_benchmark_p950.0972
peer_benchmark_p0.0060
sector_entropy0.4934
sector_entropy_ci[0.2819, 0.5330]
top3_share_lower0.3214
top3[AAPL, V, ADP]
top3_tied_to_eventsfalse
T3Cadence and event proximity33% 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: 4.8%).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 1/3, Wilson [0.08, 0.75]; index of dispersion 7.16 (chi-square p = 0); routine share 0.00 (portfolio-routine or Cohen-Malloy-Pomorski two-year rule). Proximity share 0.000 vs. circular-shift null mean 0.048, p = 1.000.

Evidence
Statistical
Batch-day share
33.3% [7.8%, 74.6%] 90%
p-value
1.000
Holm-adjusted p
1.000
BH q-value
1.000
0Estimate
This member33.3%
All computed statistics (14)
n12
trade_days3
batch_share_trades0.7500
batch_day_share0.3333
batch_day_ci[0.0783, 0.7465]
dispersion_index7.1593
dispersion_p0
routine_share0
proximity_share0
proximity_null_mean0.0483
proximity_null_p950.2500
proximity_p1
proximity_nonroutine0
proximity_routine0
T4Event timing (abnormal returns)Across 10 priced trades, purchases and sales moved 2.33% against the trade's direction relative to the market over the next month on average.Does not fit

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) = -0.0233; 90% KP interval [-0.0446, -0.0020]; t_BMP = -2.11, r-bar = 0.022, t_KP = -1.91, Patell Z = -1.65, Corrado Z = -0.91. Dollar-weighted identified set [-0.0365, -0.0168].

Evidence
Statistical
Mean signed 21-day CAR
−2.33% [−4.46%, −0.20%] 90%
p-value
0.956
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
0δEstimate
This member−2.33%
All computed statistics (16)
n10
theta-0.0233
ci[-0.0446, -0.0020]
p0.9558
t_kp-1.9105
rbar0.0217
se_cs0.0105
se_kp0.0116
t_cs-2.2205
t_bmp-2.1116
patell_z-1.6469
corrado_z-0.9120
dollar_weighted_bounds[-0.0365, -0.0168]
calendar_time–
calendar_alpha_ci[–, –]
by_horizon[object Object]
Robustness variantReadingEstimate
Horizon 5 daysOpen question−0.00%
Horizon 63 daysOpen question−0.98%
Excluding largest batch dateNot assessed−2.11%
Self-owned accounts onlyDoes not fit−2.33%
Dollar-weighted (bounds)Does not fit−1.68%
T7Disclosure timeliness0 of 12 trades (0.0%) were disclosed late; median lag 27 days. Another 1 were over 45 days from the trade but filed within 30 days of the stated notification date.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, 0.184]; 90th percentile lag 27 days; longest 466 days.

Evidence
Descriptive
Late share
0.0% [0.0%, 18.4%] 90%
Robust to variants
No, reading changes under some variants
0Estimate
This member0.0%
All computed statistics (15)
n12
amendment_rows_excluded0
late0
late_from_trade1
excused_by_notification1
late_share0
late_ci[0, 0.1840]
median_lag27
p90_lag27
max_lag466
filings3
late_filings0
late_priced0
timely_priced10
late_priced_dates0
Robustness variantReadingEstimate
Late from the trade date alone, ignoring notification datesOpen question8.3%
T8Committee overlap0% of the member's mapped trading by dollar value was in industries their committees oversee, against 28% 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 HSIF; jurisdiction sectors Automobile Manufacturers, Communication Services, Energy, Health Care, Interactive Media & Services, Tobacco, Utilities. Dollar share 0.000 (identified set [0.000, 0.000], bootstrap nan-nan); benchmarks S&P 500 0.275, congressional peers 0.274.

Evidence
Descriptive
Jurisdiction excess share
-27.5%
Margin δ
0.5% per trade over 21 days
All computed statistics (11)
n10
in_jurisdiction_trades0
share0
share_bounds[0, 0]
share_ci[–, –]
benchmark_sp5000.2752
benchmark_peers0.2737
excess-0.2752
excess_ci[–, –]
committees[HSIF]
jurisdiction_sectors[Automobile Manufacturers, Communication Services, Energy, Health Care, Interactive Media & Services, Tobacco, Utilities]
T11Performance relative to CongressAfter adjusting for noise, the member's trades rank at the 10% 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 -0.0233, 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
0δEstimate
This member−0.28%
All computed statistics (8)
raw-0.0233
posterior_mean-0.0028
posterior_sd0.0015
congress_mean-0.0028
tau20
percentile0.1045
members_compared134
lower95-0.0058
T13Co-trading with other members8% of trades had another member trading the same stock the same way within a week (chance alone: 14%).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 0.083; circular-shift null mean 0.141, 95th pct 0.417, p = 0.740.

Evidence
Statistical
Co-traded share
8.3%
Robust to variants
Yes
All computed statistics (7)
n12
cotraded_share0.0833
null_mean0.1406
null_p950.4167
excess_p0.7400
cotraded_share_wo_top0.0833
excess_p_wo_top0.4600
Robustness variantReadingEstimate
Without M001157, the member with the most trades, in the co-trade indexDoes not fit8.3%
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_trips0
share_in_round_trips0
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_trades0
option_share0
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_episodes0
T6Control and independenceTrading arrangement: not documented; trading during absence ran at 0.00 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 0.00 times the normal rate.

Evidence
Statistical
Absence rate ratio
0.00 [0.00, 7.78] 90%
0Estimate
This member0.00
All computed statistics (6)
rate_ratio0
rate_ratio_ci[0, 7.7797]
rate_ratio_batchdays0
rate_ratio_batchdays_ci[0, 47.0347]
absence_days23
trades_in_absence0
T9Policy-topic overlap0 priced trades fell in affected industries in the 30 days before the member's committee events and 10 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
0 priced trades fell in affected industries in the 30 days before the member's committee events and 10 did not; at least 10 of each are needed to compare them.

Evidence
Descriptive
Margin δ
0.5% per trade
All computed statistics (3)
n0
n_other10
events2882
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 2015-01-05 (permutation p = 0.042).

Evidence
Descriptive
All computed statistics (5)
changepoint2015-01-05
changepoint_LR9.1533
changepoint_p0.0420
tradeday_rate_before1
tradeday_rate_after0.0031
T12Anticipation of large stock movesNone of the member's priced trades was followed within ten trading days by a large abnormal move.Not assessed

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
None of the member's priced trades was followed within ten trading days by a large abnormal move.

Evidence
Descriptive
Margin δ
10 points above a coin flip
All computed statistics (2)
n0
priced10
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_trades0
owner_unknown0
Disclosed trades per monthPurchasesSales
201520162017

Largest positions traded

CompanyTradesDisclosed value
AAPL Apple Inc.2$65K to $150K
V Visa Inc.2$65K to $150K
ADP Automatic Data Processing, Inc.1$50K to $100K
BRK.B Berkshire Hathaway Inc. New1$50K to $100K
MSFT Microsoft Corporation1$50K to $100K
PCP Precision Castparts Corporation1$15K to $50K
KO Coca-Cola Company1$15K to $50K
OUNZ VanEck Merk Gold Trust1$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.

JSON · CSV
12 trades
Trade dateAssetTypeAmountOwnerFiled after5-day CAR
Jul 5, 2017AAPL Apple Inc.Sale$50K to $100Kself27 d+0.2%Filing
Jul 5, 2017ADP Automatic Data Processing, Inc.Sale$50K to $100Kself27 d+1.8%Filing
Jul 5, 2017BRK.B Berkshire Hathaway Inc. NewSale$50K to $100Kself27 d+1.7%Filing
Jul 5, 2017CDK CDK Global, Inc.Sale$1,001 to $15Kself27 d–Filing
Jul 5, 2017KO Coca-Cola CompanySale$15K to $50Kself27 d+0.8%Filing
Jul 5, 2017SLV iShares Silver TrustSale$1,001 to $15Kself27 d+0.6%Filing
Jul 5, 2017MSFT Microsoft CorporationSale$50K to $100Kself27 d−2.1%Filing
Jul 5, 2017OUNZ VanEck Merk Gold TrustPurchase$15K to $50Kself27 d−0.2%Filing
Jul 5, 2017V Visa Inc.Sale$50K to $100Kself27 d−1.6%Filing
Feb 1, 2016PCP Precision Castparts CorporationSale$15K to $50Kself466 d–Filing
Jan 2, 2015AAPL Apple Inc.Sale$15K to $50Kself21 d−2.2%Filing
Jan 2, 2015V Visa Inc.Sale$15K to $50Kself21 d+0.9%Filing