1 00:00:02,520 --> 00:00:16,040 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:14,640 --> 00:00:18,800 Speaker 2: Single best idea are really interesting. Dare I say? Twisted 3 00:00:18,840 --> 00:00:21,960 Speaker 2: show today we had a real focus on fixed income. 4 00:00:22,680 --> 00:00:25,360 Speaker 2: My major complaint with the bond market is the media 5 00:00:25,440 --> 00:00:28,480 Speaker 2: focuses on yield and then they focus on spreads, the 6 00:00:28,520 --> 00:00:30,960 Speaker 2: difference in yield between two yields, like a ten year 7 00:00:31,000 --> 00:00:33,680 Speaker 2: yield a two year yield. You calculate the spread and 8 00:00:33,720 --> 00:00:37,680 Speaker 2: it's like half a percentage point whatever the answer is. 9 00:00:37,680 --> 00:00:40,720 Speaker 2: In times of emotion, in times of crisis, all of 10 00:00:40,760 --> 00:00:44,160 Speaker 2: a sudden you focus on price and we're there right 11 00:00:44,200 --> 00:00:47,000 Speaker 2: now where it's about price down. What does that do 12 00:00:47,080 --> 00:00:49,519 Speaker 2: to your portfolio? So it was good to talk to 13 00:00:49,560 --> 00:00:52,920 Speaker 2: a lot of different fixed income people today. Major shout 14 00:00:52,920 --> 00:00:56,800 Speaker 2: out to Neil Sutherland, the Schroeders in Hartford of Connecticut, 15 00:00:56,800 --> 00:01:01,920 Speaker 2: and Wayne Pennsylvania. Neil Sutherland should say and Neil was 16 00:01:02,000 --> 00:01:05,280 Speaker 2: really quite good about full faith and credit and finding 17 00:01:05,360 --> 00:01:09,400 Speaker 2: comfort in a coupon. We talked to Jim Karen Morgan 18 00:01:09,440 --> 00:01:13,200 Speaker 2: Stanley with all of his fixed income expertise. He linked 19 00:01:13,240 --> 00:01:16,720 Speaker 2: in the fixed income market to tough GDP numbers. 20 00:01:17,040 --> 00:01:19,240 Speaker 1: I think the risk is that the number could even 21 00:01:19,280 --> 00:01:22,160 Speaker 1: be weaker, So there's a lot of adjustments that really 22 00:01:22,160 --> 00:01:24,440 Speaker 1: took place as of yesterday just because of the trade 23 00:01:24,520 --> 00:01:26,600 Speaker 1: data that came in. You know, the deficit came in 24 00:01:26,600 --> 00:01:30,280 Speaker 1: at record levels, so that forced all the Wall Street 25 00:01:30,280 --> 00:01:35,080 Speaker 1: analysts to reduce or downgrade their GDP estimates for today. 26 00:01:35,560 --> 00:01:38,240 Speaker 1: And essentially, what we have to understand is that a 27 00:01:38,280 --> 00:01:41,320 Speaker 1: lot of this is coming from imports, meaning that companies 28 00:01:41,520 --> 00:01:45,200 Speaker 1: have pulled forward purchases, so their imports have actually gone up. 29 00:01:45,440 --> 00:01:49,400 Speaker 1: When you have high imports versus exports, that actually subtracts. 30 00:01:49,400 --> 00:01:51,880 Speaker 1: That's a negative that what we call, you know, the 31 00:01:51,920 --> 00:01:56,400 Speaker 1: net number, is actually subtracting from GDP. But there's a problem, Tom. 32 00:01:56,840 --> 00:02:00,720 Speaker 1: The problem is that what's also not beingd is that 33 00:02:00,760 --> 00:02:03,640 Speaker 1: these things should balance out, not only if you have 34 00:02:03,840 --> 00:02:07,560 Speaker 1: really big imports, you should then start to see inventory 35 00:02:07,680 --> 00:02:10,480 Speaker 1: build and you should also start to see spending consumption 36 00:02:10,600 --> 00:02:14,320 Speaker 1: on those imports that's not yet coming into the equation yet. 37 00:02:14,320 --> 00:02:17,120 Speaker 1: There's a quirk and the timing here, so it's almost 38 00:02:17,160 --> 00:02:19,360 Speaker 1: like you're going to get negative aspects, but you're going 39 00:02:19,400 --> 00:02:21,079 Speaker 1: to miss some of the positive and that's what's giving 40 00:02:21,160 --> 00:02:22,239 Speaker 1: it a big negative number. 41 00:02:22,480 --> 00:02:24,840 Speaker 2: Jim Carron and Morgan Stanley let me walk through that 42 00:02:24,960 --> 00:02:26,400 Speaker 2: right now. I had a lot of interest in this, 43 00:02:26,560 --> 00:02:28,640 Speaker 2: thank you for a smart tweet out there that said, 44 00:02:29,240 --> 00:02:34,480 Speaker 2: explain it exactly. There's domestic economic might, and then there's 45 00:02:34,520 --> 00:02:38,000 Speaker 2: what we do abroad. Abroad is the exports. We send 46 00:02:38,000 --> 00:02:41,520 Speaker 2: out a lot of its services and a lot of 47 00:02:41,520 --> 00:02:43,480 Speaker 2: it is the imports coming in. And think of the 48 00:02:43,520 --> 00:02:48,440 Speaker 2: stereotype of Mercedes Benz from Germany or all the stuff stuff, 49 00:02:48,520 --> 00:02:51,200 Speaker 2: stuff we bring in from China. That's imports coming in. 50 00:02:51,480 --> 00:02:55,000 Speaker 2: It's way more complicated than what I just said. But 51 00:02:55,120 --> 00:03:00,799 Speaker 2: the answer is what is the economy doing without exports dynamics, 52 00:03:00,840 --> 00:03:03,839 Speaker 2: without import dynamics. It's a few other things they throw 53 00:03:03,880 --> 00:03:07,040 Speaker 2: in as well, so you try to pass the exam. 54 00:03:07,680 --> 00:03:10,519 Speaker 2: And the answer is there's the domestic economy may be 55 00:03:10,639 --> 00:03:13,560 Speaker 2: measured by domestic final sales, other ways to do it too. 56 00:03:14,520 --> 00:03:17,839 Speaker 2: And then there's export imports. And the ANSWER's imports were 57 00:03:17,880 --> 00:03:21,400 Speaker 2: so ginormous stuff coming in to get it in front 58 00:03:21,440 --> 00:03:25,679 Speaker 2: of the trade war that Charles Schwab quickly said, look, 59 00:03:25,680 --> 00:03:30,280 Speaker 2: it's almost a five percent crater, negative four point eight percent, 60 00:03:30,880 --> 00:03:34,640 Speaker 2: four point six percent, negative four point six percent just 61 00:03:34,720 --> 00:03:38,240 Speaker 2: off imports. So pushing you against that was a pretty 62 00:03:38,280 --> 00:03:42,000 Speaker 2: good US economy And the answer is it was about 63 00:03:42,240 --> 00:03:47,760 Speaker 2: three percent GDP for the regular, old, boring domestic economy. 64 00:03:48,080 --> 00:03:50,440 Speaker 2: It comes out to a number, then it'll be revised 65 00:03:50,440 --> 00:03:53,240 Speaker 2: over the next two looks. But it was a negative 66 00:03:53,280 --> 00:03:57,560 Speaker 2: statistic today for GDP, but all sorts of asterisks around that. 67 00:03:57,840 --> 00:04:00,560 Speaker 2: What to focus on is the market took it in 68 00:04:00,600 --> 00:04:04,000 Speaker 2: a challenging way, joining us then on the linkage of 69 00:04:04,000 --> 00:04:08,480 Speaker 2: this trade wark into our economic data and our international relations. 70 00:04:08,880 --> 00:04:11,839 Speaker 2: Peter Cheer of Academy. 71 00:04:11,280 --> 00:04:13,600 Speaker 3: Securities, I can tell you quite safely that when we 72 00:04:13,680 --> 00:04:16,000 Speaker 3: talk to our retire generals and admirals, one of whom 73 00:04:16,040 --> 00:04:19,200 Speaker 3: is going to be Under Secretary of State, Undersecretary of 74 00:04:19,200 --> 00:04:22,719 Speaker 3: Defense for Personnel and Readiness, they've never seen a more 75 00:04:22,880 --> 00:04:25,599 Speaker 3: trying period of their lifetime, right they've served. 76 00:04:25,600 --> 00:04:28,840 Speaker 4: There is so much risk across the globe, and recently too, 77 00:04:28,839 --> 00:04:31,479 Speaker 4: you've had Indian Pakistan flare up a little bit. It 78 00:04:31,600 --> 00:04:34,359 Speaker 4: does feel like there's this real risk that everyone's going 79 00:04:34,400 --> 00:04:36,440 Speaker 4: to push the envelope a little bit. Whether it's there's 80 00:04:36,480 --> 00:04:38,839 Speaker 4: a perception, whether it's real or not, but a perception 81 00:04:38,920 --> 00:04:43,200 Speaker 4: that Trump is less focused on global protecting global interest. 82 00:04:43,440 --> 00:04:48,120 Speaker 2: Peter sheer of Academy securities this morning. What's coming up here? 83 00:04:48,160 --> 00:04:51,360 Speaker 2: It's an incredibly busy week. Lots of economic data today, 84 00:04:51,400 --> 00:04:54,680 Speaker 2: and then we go on to claims tomorrow. I think 85 00:04:54,720 --> 00:04:57,400 Speaker 2: that could be a surprise we'll see. And then the 86 00:04:57,520 --> 00:05:01,880 Speaker 2: jobs report, boy, the analys. Right now, I would love 87 00:05:01,960 --> 00:05:03,680 Speaker 2: to get a cup of coffee or along lunch with 88 00:05:03,760 --> 00:05:06,320 Speaker 2: Anna Wog right now, just to get an update on 89 00:05:06,360 --> 00:05:09,880 Speaker 2: Bloomberg Economics on a survey number of one hundred and 90 00:05:09,960 --> 00:05:13,560 Speaker 2: thirty five thousand non farm payrolls and a real mystery 91 00:05:13,600 --> 00:05:16,479 Speaker 2: that it could be marked down lower on your commute. 92 00:05:16,480 --> 00:05:20,240 Speaker 2: Acrascination Android Auto is seeing more and more talk about 93 00:05:20,240 --> 00:05:23,880 Speaker 2: what Google and Android are doing in cars on Apple 94 00:05:23,920 --> 00:05:28,800 Speaker 2: CarPlay as well and on YouTube. Subscribe to Bloomberg Podcasts 95 00:05:29,320 --> 00:05:39,440 Speaker 2: at YouTube podcasts. This is single best idea