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Results for Durablegoods

Joseph A. LaVorgna
Lavorgnanomics
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feb durablegoods orders were terrible headline 28 vs 42 ex trans 10 vs 12 amp core 18 vs 31 all worse than exp
Feb #durablegoods orders were terrible: headline (-2.8% vs +4.2%) ex trans (-1.0% vs +1.2%) & core (-1.8% vs +3.1%) all worse than expected
Neon Future Aoki
steveaoki
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ready for the snow thanks burtonsnowboard theluiscalderin durablegoods ridingisthereason
Ready for the snow! Thanks @burtonsnowboard!!! @theluiscalderin #durablegoods #ridingisthereason
Joseph A. LaVorgna
Lavorgnanomics
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feb durablegoods shipments 11 vs 13 which go into gdp are down a massive 92 ann in q1 the worst since q2 2009
Feb #durablegoods shipments (-1.1% vs -1.3%) which go into GDP are down a massive -9.2% ann. in Q1, the worst since Q2 2009 (-21.2%)
Joseph A. LaVorgna
Lavorgnanomics
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durablegoods orders excluding transportation were down 02 the 6th drop in a row which hasnt happened since rec
#Durablegoods orders excluding transportation were down -0.2%, the 6th drop in a row which hasn’t happened since recession.
Joseph A. LaVorgna
Lavorgnanomics
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core durablegoods 02 v 05 were also soft the current trend in core orders is commensurate with recession
Core #durablegoods (+0.2% v. -0.5%) were also soft. The current trend in core orders is commensurate with #recession
U.S. Census Bureau
uscensusbureau
march 2019 durablegoods industries neworders census
U.S. Census Bureau
uscensusbureau
march 2019 durablegoods industries inventories census
BlanchardGold
BlanchardGold
durablegoods order bounce dead biggest drop since 2009 recession
Joseph A. LaVorgna
Lavorgnanomics
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core durablegoods orders 16 vs 05 were meaningfully better than expectations a surprisingly positive start for
Core #durablegoods orders (+1.6% vs +0.5%) were meaningfully better than expectations, a surprisingly positive start for Q3 #capex
Joseph A. LaVorgna
Lavorgnanomics
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oct durablegoods orders 48 vs 04 were boosted by aircraft while ex transport orders 10 vs 02 were better than
Oct #durablegoods orders (+4.8% vs +0.4%) were boosted by aircraft while ex-transport orders (+1.0% vs +0.2%) were better than expected
Total(1) => 0.7663369178772 f_f_QM(2) => 0.16244101524353 indS(2) => 0.0086767673492432 indM(2) => 0.15363001823425 indM_1(2) => 0.020581007003784 indM_2(2) => 0.0010108947753906 indM_4(2) => 0.020044088363647 indM_5(2) => 0.025918006896973 indM_6(2) => 0.0024158954620361 indM_7(2) => 0.023436069488525 indM_8(2) => 0.002938985824585 indM_9(2) => 0.0096747875213623 indM_10(2) => 0.0091218948364258 f_f_pTL(2) => 0.20783495903015 f_f_dT(20) => 0.20754027366638