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2df88dc ed5ee12 2df88dc ed5ee12 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 | """Observations into spans, filers, and the CUSIP bridge."""
from __future__ import annotations
from datetime import date
import polars as pl
from recipe.intervals import (
build_cusip_map,
build_cusip_map_from_pairs,
build_identifiers,
build_issuers,
build_pit,
ftd_pairs,
)
def test_a_ticker_change_becomes_two_spans(observations):
spans = build_identifiers(observations)
ticker = spans.filter(
(pl.col("cik") == "0000000001") & (pl.col("kind") == "ticker")
).sort("valid_from")
assert ticker["value"].to_list() == ["OLDT", "NEWT"]
assert ticker["valid_from"].to_list() == [date(2012, 3, 1), date(2016, 3, 1)]
assert ticker["valid_to"].to_list() == [date(2015, 3, 1), date(2024, 3, 1)]
assert ticker["is_current"].to_list() == [False, True]
def test_a_dormant_filer_holds_no_current_ticker(observations):
"""A company that stopped filing in 2014 is not currently listed under its
2014 ticker -- and PLUM belongs to whoever files under it now."""
spans = build_identifiers(observations)
plum = spans.filter((pl.col("kind") == "ticker") & (pl.col("value") == "PLUM"))
current = plum.filter(pl.col("is_current"))
assert current.height == 1, "one live owner, not two"
assert current["cik"][0] == "0000000003"
# The dormant filer keeps its own history, flagged as its latest.
dormant = plum.filter(pl.col("cik") == "0000000002").row(0, named=True)
assert dormant["is_current"] is False
assert dormant["is_latest_for_filer"] is True
assert dormant["valid_to"] == date(2014, 5, 1)
def test_issuer_keeps_its_name(observations):
"""Regression: the changes pivot produced a column called `name` too, and
renaming after the join blanked every issuer's name."""
spans = build_identifiers(observations)
issuers = build_issuers(spans, observations)
row = issuers.filter(pl.col("cik") == "0000000001").row(0, named=True)
assert row["name"] == "New Name Inc"
assert row["primary_ticker"] == "NEWT"
assert row["name_changes"] == 2
assert row["ticker_changes"] == 2
assert row["sic"] == "3571"
def test_dormant_filers_are_marked_inactive(observations):
spans = build_identifiers(observations)
issuers = build_issuers(spans, observations)
assert issuers.filter(pl.col("cik") == "0000000002")["is_active"][0] is False
assert issuers.filter(pl.col("cik") == "0000000001")["is_active"][0] is True
def test_a_reused_ticker_resolves_by_date(observations, ftd):
"""The point of the bridge: PLUM is two companies, and the CUSIP knows when."""
spans = build_identifiers(observations)
bridge = build_cusip_map(ftd, spans)
early = bridge.filter(pl.col("cusip") == "111111111").row(0, named=True)
late = bridge.filter(pl.col("cusip") == "222222222").row(0, named=True)
assert early["cik"] == "0000000002" and early["match_confidence"] == "high"
assert late["cik"] == "0000000003" and late["match_confidence"] == "high"
def test_a_cusip_with_no_filer_is_kept_and_labelled(observations, ftd):
spans = build_identifiers(observations)
bridge = build_cusip_map(ftd, spans)
ghost = bridge.filter(pl.col("cusip") == "333333333").row(0, named=True)
assert ghost["cik"] is None
assert ghost["match_method"] == "unmatched" and ghost["match_confidence"] == "none"
assert ghost["ticker"] == "GHOST", "the ticker is still usable without a filer"
def test_cusip6_is_the_issuer_prefix(observations, ftd):
bridge = build_cusip_map(ftd, build_identifiers(observations))
assert bridge.filter(pl.col("cusip") == "111111111")["cusip6"][0] == "111111"
def test_pit_dates_every_span_and_never_leaks(observations):
spans = build_identifiers(observations)
pit = build_pit(spans)
assert pit.height == spans.height
assert pit["entity_id"].null_count() == 0
# Knowledge is the end of the day observed, so it never precedes the event.
assert (pit["knowledge_date"].dt.date() >= pit["event_date"]).all()
assert pit["knowledge_estimated"].all()
def _bridge(observations, ftd_rows):
return build_cusip_map(pl.DataFrame(ftd_rows, strict=False), build_identifiers(observations))
def _ftd(cusip, ticker, name, day):
return {"cusip": cusip, "ticker": ticker, "issuer_name": name, "observed_on": day,
"source_ref": "f"}
def test_a_share_class_matches_across_separators():
"""Settlement records write BRKB, filings BRK.B: one symbol, one filer."""
from conftest import observation
obs = pl.DataFrame([
observation("0000000010", "ticker", "BRK.B", date(2015, 1, 1)),
observation("0000000010", "ticker", "BRK.B", date(2020, 1, 1)),
observation("0000000010", "name", "Berkshire Hathaway Inc", date(2020, 1, 1)),
], strict=False)
bridge = _bridge(obs, [_ftd("084670702", "BRKB", "BERKSHIRE HATHAWAY INC CL B", date(2018, 1, 1))])
row = bridge.row(0, named=True)
assert row["cik"] == "0000000010" and row["match_confidence"] == "high"
assert row["ticker"] == "BRKB", "the published ticker is the one the record stated"
def test_a_fund_is_not_the_company_that_shares_its_ticker():
"""SPDR's MDY matched Midway Gold by ticker and date. A fund whose name shares
no word with anything the filer was called is refused, not attached."""
from conftest import observation
obs = pl.DataFrame([
observation("0000000020", "ticker", "MDY", date(2010, 1, 1)),
observation("0000000020", "ticker", "MDY", date(2012, 1, 1)),
observation("0000000020", "name", "Midway Gold Corp", date(2012, 1, 1)),
], strict=False)
bridge = _bridge(obs, [_ftd("78467Y107", "MDY", "SPDR S&P MIDCAP 400 ETF TR UTS", date(2011, 1, 1))])
row = bridge.row(0, named=True)
assert row["cik"] is None
assert row["match_method"] == "name_conflict" and row["match_confidence"] == "none"
def test_one_collision_does_not_name_a_whole_fund_family():
"""iShares' ICF once matched ICF International, and inheriting by CUSIP prefix
then gave that company's CIK to IVV, IWM, EFA and 71 more funds."""
from conftest import observation
obs = pl.DataFrame([
observation("0000000030", "ticker", "ICF", date(2010, 1, 1)),
observation("0000000030", "ticker", "ICF", date(2012, 1, 1)),
], strict=False)
bridge = _bridge(obs, [
_ftd("464287564", "ICF", "ISHARES COHEN & STEERS REIT ETF", date(2011, 1, 1)),
_ftd("464287200", "IVV", "ISHARES CORE S&P 500 ETF", date(2011, 1, 1)),
])
ivv = bridge.filter(pl.col("ticker") == "IVV").row(0, named=True)
assert ivv["cik"] is None and ivv["match_method"] == "unmatched"
def test_an_issuer_prefix_still_lends_its_filer_to_other_classes():
"""The prefix rule is right for companies: a class A share of a company whose
common stock matched belongs to the same filer."""
from conftest import observation
obs = pl.DataFrame([
observation("0000000040", "ticker", "HEI", date(2010, 1, 1)),
observation("0000000040", "ticker", "HEI", date(2020, 1, 1)),
], strict=False)
bridge = _bridge(obs, [
_ftd("422806109", "HEI", "HEICO CORP", date(2015, 1, 1)),
_ftd("422806208", "HEIXA", "HEICO CORP CL A", date(2015, 1, 1)),
])
cls = bridge.filter(pl.col("cusip") == "422806208").row(0, named=True)
assert cls["cik"] == "0000000040" and cls["match_confidence"] == "medium"
def test_clearing_placeholders_are_marked():
from conftest import observation
obs = pl.DataFrame([observation("0000000050", "ticker", "XCEM", date(2015, 1, 1))], strict=False)
bridge = _bridge(obs, [
_ftd("19762B202", "XCEMZZZZ", "COLUMBIA ETF TR II", date(2015, 1, 1)),
_ftd("19762B203", "XCEM", "COLUMBIA ETF TR II", date(2015, 1, 1)),
])
flags = dict(bridge.select("ticker", "standard_symbol").iter_rows())
assert flags == {"XCEMZZZZ": False, "XCEM": True}
def test_a_tie_between_two_filers_resolves_the_same_way_every_time():
"""Two filers that each stated the symbol once are tied on every rank the
bridge sorts by. Without a last key the winner was whichever row the join
emitted first, and the same inputs in a different order gave a different
filer."""
from conftest import observation
obs = pl.DataFrame([
observation("0000000061", "ticker", "TIE", date(2011, 1, 1)),
observation("0000000062", "ticker", "TIE", date(2011, 1, 1)),
], strict=False)
identifiers = build_identifiers(obs)
pairs = ftd_pairs(pl.DataFrame(
[_ftd("111111105", "TIE", "TIE CORP", date(2011, 1, 1))], strict=False))
forward = build_cusip_map_from_pairs(pairs, identifiers)
backward = build_cusip_map_from_pairs(pairs, identifiers.reverse())
assert forward.drop("inserted_at").equals(backward.drop("inserted_at"))
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