-- -*- mode: sql; sql-product: postgres; -*- CREATE TYPE bond_strat AS ENUM('M_STR_MAV', 'M_STR_SMEZZ', 'CSO_TRANCH', 'M_CLO_BB20', 'M_CLO_AAA', 'M_CLO_BBB', 'M_MTG_IO', 'M_MTG_THRU', 'M_MTG_GOOD', 'M_MTG_B4PR', 'M_MTG_RW'); CREATE TYPE asset_class AS ENUM('CSO', 'Subprime', 'CLO', 'Tranches', 'Futures', 'Cash', 'FX', 'Cleared'); CREATE TYPE action AS ENUM('NEW', 'UPDATE', 'CANCEL'); CREATE TYPE currency AS ENUM('USD', 'CAD', 'EUR', 'YEN'); CREATE TYPE bbg_type AS ENUM('Mtge', 'Corp'); CREATE type day_count AS ENUM('ACT/360', 'ACT/ACT', '30/360', 'ACT/365') CREATE TABLE counterparties(code varchar(12) primary key, name text, city text, state varchar(2), location text, dtc_number integer, sales_contact text, sales_email text, sales_phone text, valuation_contact1 text, valuation_email1 text, valuation_contact2 text, valuation_email2 text, valuation_contact3 text, valuation_email3 text, valuation_contact3 text, valuation_email3 text, valuation_contact4 = text, valuation_email4 = text, notes text); CREATE INDEX ON counterparties(name); CREATE TABLE bonds(id serial primary key, deal_id varchar(28), lastupdate timestamp, action action, folder bond_strat, custodian varchar(12), cashaccount varchar(10), cp_code varchar(12) REFERENCES counterparties(code), trade_date date, settle_date date, cusip varchar(9), isin varchar(12), description varchar(32), faceamount float, price float, accrued float, asset_class asset_class, ticket text, principal_payment float, accrued_payment float); CREATE TABLE securities(identifier varchar(12) PRIMARY KEY, cusip varchar(9), isin varchar(12), description varchar(32), face_amount float, maturity date, floater boolean, spread float, coupon float, frequency smallint, day_count day_count, first_coupon_date date, pay_delay smallint, currency currency default 'USD', bbg_type bbg_type default 'Mtge', asset_class asset_class, paid_down date default 'Infinity' start_accrued_date date) CREATE TABLE marks(date date, identifier varchar(12) REFERENCES securities(identifier), price float, PRIMARY KEY(identifier, date)); CREATE TABLE cashflow_history( identifier varchar(12) REFERENCES securities, date date, principal_bal float, principal float, interest float, coupon float, PRIMARY KEY (identifier, date)); CREATE TABLE fx(date date PRIMARY KEY, eurusd float, cadusd float); CREATE OR REPLACE function list_marks(p_date date, include_unsettled boolean DEFAULT False) RETURNS TABLE(identifier varchar(12), price float) AS $$ BEGIN RETURN QUERY SELECT a.identifier, b.price FROM list_positions(p_date, Null, include_unsettled) a LEFT JOIN (SELECT DISTINCT ON (identifier) date, marks.identifier, marks.price FROM marks WHERE date<= p_date ORDER BY identifier, date DESC) b USING (identifier); END; $$ LANGUAGE plpgsql; CREATE OR REPLACE function list_positions(p_date date, p_class asset_class DEFAULT NULL, include_unsettled boolean DEFAULT True) RETURNS TABLE(identifier varchar(12), description varchar(32), notional float, strategy bond_strat, curr_cpn float, start_accrued_date date, last_settle_date date, principal_payment float, accrued_payment float, currency currency, daycount day_count, day_bbg_type bbg_type) AS $$ DECLARE sqlquery text; DECLARE asset_opt text; DECLARE unsettled_opt text; BEGIN IF p_class is not NULL THEN asset_opt := 'and securities.asset_class=$2 '; ELSE asset_opt := ''; END IF; IF include_unsettled THEN unsettled_opt = 'or settle_date>=$1'; ELSE unsettled_opt = ''; END IF; sqlquery := 'WITH temp as (SELECT bonds.identifier, asset_class, settle_date, folder, principal_payment, accrued_payment, sum(faceamount*(2*buysell::int-1) ) OVER (PARTITION BY bonds.identifier) notional FROM bonds WHERE trade_date<=$1) SELECT DISTINCT ON (temp.identifier) temp.identifier, securities.description, notional, folder, securities.coupon, start_accrued_date, settle_date, temp.principal_payment, temp.accrued_payment, securities.currency, securities.day_count, securities.bbg_type FROM temp LEFT JOIN securities USING (identifier) WHERE (temp.notional>0 '||unsettled_opt||') AND paid_down>$1 '||asset_opt ||' ORDER BY identifier, settle_date desc'; RETURN QUERY EXECUTE sqlquery USING p_date, p_class; END; $$ LANGUAGE plpgsql; CREATE MATERIALIZED VIEW factors_history AS WITH temp AS (SELECT c.date, c.identifier, c.principal, c.principal_bal, c.interest, lead(c.coupon) OVER w AS coupon, -c.principal-c.principal_bal+lag(c.principal_bal) OVER w AS losses FROM cashflow_history c WINDOW w AS (PARTITION BY c.identifier order by c.date asc)) SELECT date, identifier, principal_bal/face_amount AS factor, principal/face_amount*100 AS principal, interest/face_amount*100 AS interest, losses/face_amount*100 AS losses, coalesce(securities.coupon, temp.coupon) FROM temp JOIN securities USING (identifier); CREATE UNIQUE INDEX factors_history_pkey ON factors_history(date, identifier); CREATE OR REPLACE function factors_history(p_date date) RETURNS SETOF factors_history AS $$ BEGIN RETURN QUERY SELECT DISTINCT ON (identifier) * FROM factors_history WHERE date<=p_date ORDER BY identifier, date desc; END; $$ LANGUAGE plpgsql; CREATE OR REPLACE FUNCTION isleapyear ( D date ) RETURNS boolean AS $$ DECLARE y INTEGER; BEGIN y := extract (year from D); if (y % 4) != 0 then return false; end if; if (y % 400) = 0 then return true; end if; return (( y % 100) != 0); END; $$ LANGUAGE 'plpgsql'; CREATE OR REPLACE FUNCTION yearfrac(date1 date, date2 date, daycount day_count) RETURNS float AS $$ DECLARE factor float; y1 integer; y2 integer; m1 integer; m2 integer; d1 integer; d2 integer; BEGIN IF daycount='30/360' THEN y1 := extract(YEAR FROM date1); y2 := extract(YEAR FROM date2); m1 := extract(MONTH FROM date1); m2 := extract(MONTH FROM date2); d1 := extract(DAY FROM date1); d2 := extract(DAY FROM date2); IF d2=31 and (d1=30 or d1=31) THEN d2:=30; END IF; IF d1=31 THEN d1:=30; END IF; factor:= (360*(y2-y1) + 30*(m2-m1)+d2-d1)/360.; ELSIF daycount='ACT/365' THEN factor:=(date2-date1)/365.; ELSIF daycount='ACT/360' THEN factor:=(date2-date1)/360.; ELSIF daycount='ACT/ACT' THEN IF isleapyear(date1) THEN factor:=(date2-date1)/366.; ELSE factor:=(date2-date1)/365.; END IF; END IF; RETURN factor; END; $$ LANGUAGE plpgsql; CREATE OR REPLACE function fx_rate(p_date date) RETURNS TABLE(currency currency, fxrate float) AS $$ BEGIN RETURN QUERY SELECT unnest(Array['USD', 'EUR', 'CAD'])::currency, unnest(Array[1, eurusd, cadusd]) FROM fx WHERE date=p_date; END; $$ LANGUAGE plpgsql; CREATE OR REPLACE function risk_positions(p_date date, p_assetclass asset_class) RETURNS TABLE (description varchar(32), identifier varchar(12), notional float, price float, strategy bond_strat, factor float, local_market_value float, usd_market_value float, curr_cpn float, int_acc float) AS $$ BEGIN RETURN QUERY SELECT a.description, a.identifier, a.notional, c.price, a.strategy, coalesce(b.factor, 1), c.price * a.notional * coalesce(b.factor,1), c.price * a.notional * coalesce(b.factor,1) * fxrate, a.curr_cpn, a.notional * coalesce(b.factor,1) * fxrate *yearfrac(start_accrued_date, '2015-08-06', daycount) * a.curr_cpn/100. FROM list_positions(p_date, p_assetclass) a LEFT JOIN factors_history(p_date) b USING (identifier) LEFT JOIN list_marks(p_date, True) c USING (identifier) LEFT JOIN fx_rate(p_date) USING (currency) ORDER by identifier asc; END; $$ LANGUAGE plpgsql;