1 00:00:14,400 --> 00:00:17,680 Speaker 1: Hello, and welcome to What Goes Up, a Bloomberg Weekly 2 00:00:17,760 --> 00:00:21,440 Speaker 1: Markets podcast. I'm Sarah Pontzac, a reporter on the Cross 3 00:00:21,440 --> 00:00:24,239 Speaker 1: Asset team, and I'm Mike Reagan, a senior editor on 4 00:00:24,280 --> 00:00:27,600 Speaker 1: the Markets Team. This week on the show, recession fears 5 00:00:27,600 --> 00:00:31,280 Speaker 1: are back in vogue. The worst I s M manufacturing 6 00:00:31,320 --> 00:00:34,000 Speaker 1: reading in a decade was followed by a three year 7 00:00:34,080 --> 00:00:37,080 Speaker 1: low and services. Our guests will discuss the strength of 8 00:00:37,120 --> 00:00:41,199 Speaker 1: the economy and how worried markets should actually be. And 9 00:00:41,280 --> 00:00:43,960 Speaker 1: if you're wondering if we saw any crazy things in 10 00:00:44,040 --> 00:00:46,400 Speaker 1: markets this week, come on. Of course we did, so 11 00:00:46,440 --> 00:00:49,279 Speaker 1: we will close out the episode with the craziest things 12 00:00:49,320 --> 00:00:51,040 Speaker 1: we saw on markets this week. Sarah, I'm gonna give 13 00:00:51,040 --> 00:00:53,360 Speaker 1: you one hint for mine, all right, give us a hint. 14 00:00:53,440 --> 00:00:56,040 Speaker 1: The Hamptons. The Hampton's all right, you know where I'm 15 00:00:56,080 --> 00:00:58,160 Speaker 1: going with that. I don't. This is always how it goes. 16 00:00:58,200 --> 00:00:59,480 Speaker 1: You give us a hint. I have no idea where 17 00:00:59,480 --> 00:01:00,880 Speaker 1: you're going with it. And then we have to wait. 18 00:01:03,400 --> 00:01:05,520 Speaker 1: Now we have to wait. But remember we do have 19 00:01:05,560 --> 00:01:09,119 Speaker 1: our very own Bloomberg Podcast hotline. You have any questions 20 00:01:09,400 --> 00:01:11,199 Speaker 1: for us, you want to call in, tell us about 21 00:01:11,200 --> 00:01:13,240 Speaker 1: the crazy things that you guys have seen in markets. 22 00:01:13,400 --> 00:01:15,920 Speaker 1: Give us a call, leave us a voicemail. It's six 23 00:01:16,000 --> 00:01:19,800 Speaker 1: four six three two four three four nine zero and 24 00:01:19,880 --> 00:01:22,200 Speaker 1: we may even play it on the show. So, Sarah, 25 00:01:22,480 --> 00:01:24,679 Speaker 1: one of the things I do before every show is 26 00:01:24,760 --> 00:01:27,880 Speaker 1: I like to look up the biographies of our guests, 27 00:01:28,360 --> 00:01:30,759 Speaker 1: and I gotta say our first guest, I I haven't 28 00:01:30,760 --> 00:01:34,880 Speaker 1: seen anything quite like this. Um. I always I always 29 00:01:34,920 --> 00:01:37,520 Speaker 1: look for what letters they may have after their name 30 00:01:37,680 --> 00:01:40,319 Speaker 1: and sort of what degrees they have, and boy, I've 31 00:01:40,319 --> 00:01:44,039 Speaker 1: never seen anything like this. She is a CFP, which 32 00:01:44,120 --> 00:01:47,040 Speaker 1: we all know as a Certified Financial Planner. She's also 33 00:01:47,120 --> 00:01:52,000 Speaker 1: a Chartered Alternative Investment Analysts, a Certified Investment Management Analyst, 34 00:01:52,360 --> 00:01:56,200 Speaker 1: and a chartered Financial consultant. She has not one but 35 00:01:56,280 --> 00:02:01,040 Speaker 1: two master's degree and a law degree. Alien underachiever and 36 00:02:01,120 --> 00:02:03,840 Speaker 1: under achiever. I would love to know her budget on 37 00:02:03,920 --> 00:02:07,640 Speaker 1: textbooks on tuition, um, but we're It all leads up 38 00:02:07,680 --> 00:02:10,600 Speaker 1: to this final crowning achievement of her career is appearing 39 00:02:10,600 --> 00:02:13,960 Speaker 1: on the What Goes Up podcast and Christina Hooper, chief 40 00:02:13,960 --> 00:02:17,080 Speaker 1: Global market Strategist at Investco, welcome to the show. Thank 41 00:02:17,080 --> 00:02:19,040 Speaker 1: you for having me, and I assume your business card 42 00:02:19,120 --> 00:02:21,919 Speaker 1: is like you know, letters after name continued on the 43 00:02:21,960 --> 00:02:24,760 Speaker 1: back or something. Well, compliance really tries to limit you 44 00:02:24,800 --> 00:02:28,120 Speaker 1: to the number of letters you have. So luckily they've 45 00:02:28,200 --> 00:02:32,560 Speaker 1: they've they've urtailed any kind of interest in and expanding 46 00:02:32,560 --> 00:02:36,320 Speaker 1: on business cards. Then I looked up our our second 47 00:02:36,320 --> 00:02:38,320 Speaker 1: guests bio and I felt a little bit better. I mean, 48 00:02:38,320 --> 00:02:42,560 Speaker 1: he's he's got a good a good resume too, Cornel Guy, right, 49 00:02:43,080 --> 00:02:45,840 Speaker 1: Cordell Guy. And one of the things he's certified in 50 00:02:46,040 --> 00:02:48,880 Speaker 1: is standard first Aid from the American Red Cross, which 51 00:02:48,919 --> 00:02:50,680 Speaker 1: I did not know we could claim on our resume. 52 00:02:50,840 --> 00:02:53,359 Speaker 1: I got the same thing. I'm putting it on there. 53 00:02:53,400 --> 00:02:56,960 Speaker 1: I don't know if we get to put that was 54 00:02:57,040 --> 00:03:04,320 Speaker 1: that'll be a qualification for everyone who comes on the podcast. Christine, 55 00:03:04,360 --> 00:03:06,720 Speaker 1: I don't know if you're you've got your first age. 56 00:03:07,000 --> 00:03:09,679 Speaker 1: I was a lifeguard, but that lapsed many years ago, 57 00:03:09,880 --> 00:03:12,600 Speaker 1: and so I feel very very safe right now that 58 00:03:12,639 --> 00:03:14,680 Speaker 1: if I were to have any kind of issue, you 59 00:03:14,720 --> 00:03:17,480 Speaker 1: don't know where to do. But Christine, let's start with you. 60 00:03:17,639 --> 00:03:21,000 Speaker 1: You had a really interesting piece out on the Investo 61 00:03:21,120 --> 00:03:26,320 Speaker 1: blog headline News News versus Noise, assessing the market impact 62 00:03:26,400 --> 00:03:30,120 Speaker 1: of three major headlines. Really interesting take. I wanted to 63 00:03:30,160 --> 00:03:32,600 Speaker 1: go through a few of the things. One obviously is 64 00:03:32,639 --> 00:03:35,280 Speaker 1: the big story you cannot avoid in the news, uh, 65 00:03:35,400 --> 00:03:39,720 Speaker 1: the impeachment inquiry into President Donald Trump, And you put 66 00:03:39,720 --> 00:03:42,400 Speaker 1: that in sort of the noise category. It's not really 67 00:03:42,440 --> 00:03:46,960 Speaker 1: something that should necessarily affect the markets, but there's always 68 00:03:46,960 --> 00:03:48,640 Speaker 1: a butt and I think there's always a risk that 69 00:03:48,720 --> 00:03:52,280 Speaker 1: this could begin to affect markets, especially when you start 70 00:03:52,320 --> 00:03:55,400 Speaker 1: to think of, well, uh, does this damage Joe Biden, 71 00:03:55,440 --> 00:03:58,960 Speaker 1: doesn't make Elizabeth Warren more of the front runner? So 72 00:03:59,080 --> 00:04:02,880 Speaker 1: walk us through, you know, when could this story move 73 00:04:02,960 --> 00:04:05,200 Speaker 1: from that noise category into the news that really could 74 00:04:05,240 --> 00:04:07,520 Speaker 1: affect the markets. I think it's going to take a 75 00:04:07,560 --> 00:04:10,800 Speaker 1: long time for it to be eligible to move from 76 00:04:11,080 --> 00:04:15,040 Speaker 1: noise to something that really matters, because at this juncture, 77 00:04:15,160 --> 00:04:18,039 Speaker 1: what we're really doing is going through a fact finding 78 00:04:18,320 --> 00:04:23,560 Speaker 1: um investigation. And I think everyone, you know, almost everyone 79 00:04:23,600 --> 00:04:27,400 Speaker 1: assumes that even if the House were to impeach that 80 00:04:27,480 --> 00:04:30,120 Speaker 1: you wouldn't see a conviction in the Senate. So the 81 00:04:30,120 --> 00:04:33,200 Speaker 1: whole issue becomes mood. But you're right, there can be 82 00:04:33,320 --> 00:04:37,320 Speaker 1: some peripheral damage to other candidates in the process of 83 00:04:37,360 --> 00:04:40,479 Speaker 1: this fact finding investigation, and all the media attention that 84 00:04:40,520 --> 00:04:44,080 Speaker 1: it's getting. Um. The reality is, though, that we have 85 00:04:44,320 --> 00:04:47,000 Speaker 1: no idea who the nominee is going to be for 86 00:04:47,040 --> 00:04:50,720 Speaker 1: the Democratic Party and uh and so um. One can 87 00:04:50,760 --> 00:04:55,280 Speaker 1: assume that the most pro growth candidate on the Democratic 88 00:04:55,320 --> 00:04:58,400 Speaker 1: side is Joe Biden. But I would give a put 89 00:04:58,400 --> 00:05:01,440 Speaker 1: a big asterisk after that because we just haven't heard 90 00:05:01,560 --> 00:05:04,520 Speaker 1: enough from the candidates. The only candidate willing to really 91 00:05:04,560 --> 00:05:07,359 Speaker 1: get out there in terms of in depth policies on 92 00:05:07,560 --> 00:05:10,920 Speaker 1: so many different issues is Elizabeth Warren. So that's causing 93 00:05:10,960 --> 00:05:14,440 Speaker 1: a little concern on the part of of capitalists, members 94 00:05:14,480 --> 00:05:17,240 Speaker 1: of you know, on the part of Wall Street. Um, 95 00:05:17,279 --> 00:05:20,960 Speaker 1: but we haven't yet heard from other candidates, and perhaps 96 00:05:21,040 --> 00:05:25,159 Speaker 1: we could be surprised by some some pro growth policies. Certainly, 97 00:05:25,200 --> 00:05:27,760 Speaker 1: I think one positive for Joe Biden is it he 98 00:05:27,960 --> 00:05:32,120 Speaker 1: suggests that if he were to become president, he would 99 00:05:32,240 --> 00:05:34,159 Speaker 1: end the trade war and we would go back to 100 00:05:34,440 --> 00:05:37,240 Speaker 1: a pre trade war kind of relationship with China, which 101 00:05:37,240 --> 00:05:40,039 Speaker 1: I think would be viewed very positively. Nick Collis of 102 00:05:40,120 --> 00:05:43,479 Speaker 1: Data Track, who is a former podcast guest, sent out 103 00:05:43,520 --> 00:05:46,760 Speaker 1: an email this week pointing out the fact that at 104 00:05:46,839 --> 00:05:52,360 Speaker 1: this time in ahead of the presidential elections, Ben Carson 105 00:05:52,800 --> 00:05:56,200 Speaker 1: and Donald Trump, or even in the polls. I mean, 106 00:05:56,240 --> 00:05:59,600 Speaker 1: when you take that into account, how difficult is it 107 00:05:59,760 --> 00:06:03,800 Speaker 1: to actually even think about any election risks to markets 108 00:06:03,839 --> 00:06:06,760 Speaker 1: because so much could change from here on out. Well, 109 00:06:06,800 --> 00:06:09,560 Speaker 1: that's exactly right, and that's why even if we were 110 00:06:09,560 --> 00:06:12,400 Speaker 1: to see a different president, no matter what their policy 111 00:06:12,400 --> 00:06:16,920 Speaker 1: position is, that would not be that material without looking 112 00:06:16,920 --> 00:06:19,960 Speaker 1: at the composition of Congress. But it's very hard to 113 00:06:20,000 --> 00:06:25,840 Speaker 1: define what we would actually see come January two twenty one. Now, 114 00:06:25,880 --> 00:06:28,080 Speaker 1: the one headline that I think you agree is is 115 00:06:28,440 --> 00:06:30,480 Speaker 1: less noise, more actual news that we have to worry 116 00:06:30,520 --> 00:06:34,680 Speaker 1: about is obviously the trade tensions. In the back and forth. Um. 117 00:06:34,720 --> 00:06:37,520 Speaker 1: A lot of people I've heard have offered the theory 118 00:06:37,560 --> 00:06:40,839 Speaker 1: that while this impeachment risk sort of puts the pressure 119 00:06:40,880 --> 00:06:44,720 Speaker 1: on Donald Trump to agree to the water down deal 120 00:06:45,279 --> 00:06:48,120 Speaker 1: a little bit sooner than he may have otherwise. Um. 121 00:06:48,200 --> 00:06:51,320 Speaker 1: At the same time, he tweeted this week that, oh boy, 122 00:06:51,360 --> 00:06:54,080 Speaker 1: look at what this impeachment is doing to the stock market. 123 00:06:54,360 --> 00:06:56,680 Speaker 1: So he seems to be trying to to push the 124 00:06:56,760 --> 00:06:59,360 Speaker 1: narrative that it's the impeachment that's causing the volatility in 125 00:06:59,400 --> 00:07:02,920 Speaker 1: the markets. Are the two related? I mean, can Can 126 00:07:02,960 --> 00:07:06,679 Speaker 1: the impeachment threat actually get us to a trade deal sooner? 127 00:07:06,720 --> 00:07:09,080 Speaker 1: Do you think? Or is it? Is it just crazy 128 00:07:09,120 --> 00:07:11,040 Speaker 1: to even try to predict what is going to happen 129 00:07:11,040 --> 00:07:14,480 Speaker 1: in this situation. Well, I think what the impeachment threat 130 00:07:14,520 --> 00:07:18,040 Speaker 1: does is it creates fatter tails. UH. It increases the 131 00:07:18,080 --> 00:07:22,840 Speaker 1: likelihood of extreme outcomes, whether it is a greater likelihood 132 00:07:23,040 --> 00:07:26,080 Speaker 1: that the U S takes minor concessions from China and 133 00:07:26,200 --> 00:07:29,239 Speaker 1: calls it a deal or um, we could see something 134 00:07:29,280 --> 00:07:32,160 Speaker 1: moving in the opposite direction where the U S takes 135 00:07:32,200 --> 00:07:35,920 Speaker 1: a very extreme aggressive position with China, something along the 136 00:07:35,960 --> 00:07:39,520 Speaker 1: lines of the news report from Bloomberg last week on 137 00:07:39,760 --> 00:07:43,840 Speaker 1: capital controls and the US mulling that banning or restricting 138 00:07:44,080 --> 00:07:47,320 Speaker 1: of investments in China. So I think that that uh 139 00:07:47,480 --> 00:07:52,200 Speaker 1: impeachment does UM does matter in in that it could 140 00:07:52,440 --> 00:07:55,440 Speaker 1: cause an outsized reaction one way or the other in 141 00:07:55,600 --> 00:07:58,000 Speaker 1: terms of the U s is trade policy. Sorry if 142 00:07:58,000 --> 00:08:00,480 Speaker 1: you're wondering why I'm smiling, it's because I just had 143 00:08:00,520 --> 00:08:04,240 Speaker 1: the headline Donald Trump and fatter tails popping into my head. 144 00:08:04,680 --> 00:08:06,440 Speaker 1: I think we might have to go with that. I 145 00:08:06,480 --> 00:08:12,119 Speaker 1: think we're bringing you back how many years? Uh, Peter 146 00:08:12,200 --> 00:08:14,400 Speaker 1: let's let's bring you in here a little bit because 147 00:08:14,920 --> 00:08:17,400 Speaker 1: a lot of the economic data we've seen this week, 148 00:08:17,640 --> 00:08:19,720 Speaker 1: it kind of looks like the economy needs a little 149 00:08:19,760 --> 00:08:22,200 Speaker 1: first aid. You see what I did there? Yeah? Really 150 00:08:22,360 --> 00:08:24,720 Speaker 1: really making these jokes today, It was really clever. That 151 00:08:24,800 --> 00:08:27,280 Speaker 1: was good, right, thank you. But walk us through all 152 00:08:27,280 --> 00:08:29,640 Speaker 1: the releases we've seen this week. What is sort of 153 00:08:29,680 --> 00:08:34,760 Speaker 1: the bottom line takeaway, uh from the I s M 154 00:08:35,200 --> 00:08:41,040 Speaker 1: UH manufacturing services adp uh. You know, what's your sort 155 00:08:41,080 --> 00:08:45,240 Speaker 1: of end of the week assessment of what the economy 156 00:08:45,280 --> 00:08:46,760 Speaker 1: is doing? Well? Have the three numbers that got a 157 00:08:46,800 --> 00:08:49,280 Speaker 1: lot of attention. First was the S M manufacturing, which 158 00:08:49,320 --> 00:08:51,840 Speaker 1: came in at like a ten year low, and then 159 00:08:51,960 --> 00:08:55,800 Speaker 1: we had the I s M Services, which was three 160 00:08:55,880 --> 00:08:58,960 Speaker 1: year low, but that was still about fifty. So we 161 00:08:59,080 --> 00:09:04,720 Speaker 1: have manufact ccturing basically in a recession, services, which is bigger, 162 00:09:04,960 --> 00:09:07,560 Speaker 1: bigger and more important part of the economy, hanging in 163 00:09:07,640 --> 00:09:12,880 Speaker 1: above fifty. And the question really being which pulls which? 164 00:09:13,040 --> 00:09:17,559 Speaker 1: Right does does manufacturing pulls services down? Or is the 165 00:09:17,640 --> 00:09:22,079 Speaker 1: overall strength of the consumer has reflected in the services 166 00:09:22,120 --> 00:09:26,640 Speaker 1: I s M enough to kind of get businesses feeling 167 00:09:26,679 --> 00:09:32,160 Speaker 1: more optimistic. And I would say What will make the 168 00:09:32,240 --> 00:09:37,079 Speaker 1: difference between those two scenarios is probably politics. And if 169 00:09:37,400 --> 00:09:40,440 Speaker 1: you include trade and politics, which I do, I think 170 00:09:40,480 --> 00:09:43,640 Speaker 1: that what's we're having now with with the U. S. 171 00:09:43,720 --> 00:09:46,800 Speaker 1: China trade tensions are much more about the politics of 172 00:09:47,040 --> 00:09:49,040 Speaker 1: j Ping and Donald Trump than they are about any 173 00:09:49,200 --> 00:09:55,240 Speaker 1: underlying economic issues. So and that's far more unknowable than 174 00:09:55,600 --> 00:10:00,800 Speaker 1: you know, broad economic trends. So yeah, I'm just with Christina. 175 00:10:00,920 --> 00:10:03,600 Speaker 1: What happens with trade is going to be really really 176 00:10:03,640 --> 00:10:07,240 Speaker 1: important for the next few months. Christina. The big question 177 00:10:07,320 --> 00:10:11,079 Speaker 1: all along really has been is Peter mentioned, how long 178 00:10:11,559 --> 00:10:14,920 Speaker 1: can you have services and the consumer hanging there while 179 00:10:15,000 --> 00:10:19,199 Speaker 1: you do see the manufacturing sector languish a bit. This week, 180 00:10:19,760 --> 00:10:23,079 Speaker 1: I've heard many people bring up the word recession once again, 181 00:10:23,200 --> 00:10:25,120 Speaker 1: even after a month in which it really kind of 182 00:10:25,120 --> 00:10:28,000 Speaker 1: fell off the back and wasn't mentioned as much. Do 183 00:10:28,080 --> 00:10:30,840 Speaker 1: you think at this point it's still a bit dramatic 184 00:10:30,920 --> 00:10:33,640 Speaker 1: and it's more about slowing growth or do you think 185 00:10:33,640 --> 00:10:36,360 Speaker 1: recession fears are actually valid at this point in time. 186 00:10:37,040 --> 00:10:39,880 Speaker 1: I think it is a bit traumatic. It was just 187 00:10:39,960 --> 00:10:43,040 Speaker 1: a shocker. Um. You know, markets had gone on quite 188 00:10:43,080 --> 00:10:47,880 Speaker 1: merrily throughout um the end of August and through September. Uh, 189 00:10:48,080 --> 00:10:51,400 Speaker 1: not dissimilar to when I UM put on my first 190 00:10:51,440 --> 00:10:55,600 Speaker 1: pair of pants after the summer, after probably a little 191 00:10:55,880 --> 00:10:58,680 Speaker 1: going a little too easy on my diet and drinking 192 00:10:58,679 --> 00:11:00,880 Speaker 1: a little too much, and and it was this huge 193 00:11:00,920 --> 00:11:02,960 Speaker 1: shock and I, you know, I've got to get on 194 00:11:03,000 --> 00:11:06,440 Speaker 1: a workout program. And so very similarly, we had this 195 00:11:06,440 --> 00:11:11,120 Speaker 1: this I S M manufacturing print that reminded everyone that hey, 196 00:11:11,120 --> 00:11:14,160 Speaker 1: we're actually part of a trade war. And it's not 197 00:11:14,280 --> 00:11:17,160 Speaker 1: just the Eurozone and Japan and China that are being 198 00:11:17,200 --> 00:11:19,800 Speaker 1: hurt by this, but actually it is having an impact 199 00:11:19,840 --> 00:11:23,800 Speaker 1: on the U S. So um at this juncture, I 200 00:11:23,880 --> 00:11:27,600 Speaker 1: expect our base case is that we see a deceleration 201 00:11:27,640 --> 00:11:29,400 Speaker 1: in the U. S. Economy, but that we don't go 202 00:11:29,440 --> 00:11:32,360 Speaker 1: into recession in the next year. However, so much of 203 00:11:32,400 --> 00:11:35,760 Speaker 1: that is dictated by where the trade war goes from here. 204 00:11:36,160 --> 00:11:40,280 Speaker 1: If it accelerates, if it gets worse, we're likely to 205 00:11:40,320 --> 00:11:43,160 Speaker 1: see more damage to the U. S. Economy. Now, I've 206 00:11:43,200 --> 00:11:47,280 Speaker 1: seen analyzes that focus in on the actual impact of tariffs, 207 00:11:47,280 --> 00:11:49,800 Speaker 1: but it's not that. The big issue, of course, is 208 00:11:49,840 --> 00:11:55,240 Speaker 1: the psychological dimension. It's creating economic policy uncertainty, which discourages 209 00:11:55,320 --> 00:11:57,959 Speaker 1: business investment and we've seen companies, I mean really it's 210 00:11:57,960 --> 00:12:00,080 Speaker 1: been reporting the Federal Reserve bage book for over a 211 00:12:00,200 --> 00:12:04,480 Speaker 1: year that companies have pulled back on spending plants. Now 212 00:12:04,880 --> 00:12:08,200 Speaker 1: first to go, of course is capex. But then oftentimes, 213 00:12:08,280 --> 00:12:11,120 Speaker 1: if it lasts long enough, this state of economic policy 214 00:12:11,160 --> 00:12:14,160 Speaker 1: and certainty, we see it impact jobs. And that's where 215 00:12:14,160 --> 00:12:17,640 Speaker 1: it becomes an issue because then it filters over into 216 00:12:18,080 --> 00:12:21,920 Speaker 1: um the consumer side and impacts consumers ability to spend. 217 00:12:22,000 --> 00:12:23,920 Speaker 1: That's why it's so important for us to focus in 218 00:12:24,240 --> 00:12:27,720 Speaker 1: on consumer metrics right now. You know, another big story 219 00:12:27,760 --> 00:12:29,320 Speaker 1: this week was the U S one a bit of 220 00:12:29,360 --> 00:12:33,520 Speaker 1: a victory at the World Trade Organization which allowed them 221 00:12:33,679 --> 00:12:37,560 Speaker 1: to proceed with tariffs on some imports from from Europe. 222 00:12:38,040 --> 00:12:39,400 Speaker 1: The number I saw it was only seven and a 223 00:12:39,480 --> 00:12:45,640 Speaker 1: half billion, but it's headline catching items Scotch, Irish whiskey, 224 00:12:45,800 --> 00:12:49,080 Speaker 1: French wine. I mean, sort of hitting hitting you where 225 00:12:49,080 --> 00:12:52,280 Speaker 1: it counts. Um. You know, seven and a half billion, 226 00:12:52,280 --> 00:12:53,959 Speaker 1: it's kind of a drop in the bucket of the economy. 227 00:12:54,000 --> 00:12:56,240 Speaker 1: But is there a knock on effect here as far 228 00:12:56,320 --> 00:12:59,720 Speaker 1: as uh is? This a ratcheting up of tensions with 229 00:13:00,000 --> 00:13:04,200 Speaker 1: Europe and we have to worry about reaction from Europe. 230 00:13:04,520 --> 00:13:09,080 Speaker 1: I don't think so, just because this is actually sanctioned 231 00:13:09,640 --> 00:13:14,640 Speaker 1: UM tariffs. This is the way the US should be 232 00:13:14,720 --> 00:13:18,840 Speaker 1: pursuing its trade disagreements. It's trade grievances is through the 233 00:13:19,000 --> 00:13:21,200 Speaker 1: w t O, and so I look at this very 234 00:13:21,200 --> 00:13:24,800 Speaker 1: differently than the kind of tariffs that the US decided 235 00:13:25,160 --> 00:13:29,720 Speaker 1: unilaterally to levy against other countries. Put in a different bucket. Certainly, 236 00:13:29,800 --> 00:13:32,440 Speaker 1: it's going to give the Eurozone some pain, but keep 237 00:13:32,440 --> 00:13:34,960 Speaker 1: in mind that there are also gonna there's also going 238 00:13:35,000 --> 00:13:37,960 Speaker 1: to be a decision about Boeing subsidies. So it's not 239 00:13:38,080 --> 00:13:42,559 Speaker 1: a one sided um decision. We just haven't gotten the outcome, 240 00:13:42,600 --> 00:13:45,800 Speaker 1: the full outcome. Peter Christina mentioned that we have seen 241 00:13:45,920 --> 00:13:49,440 Speaker 1: trade way on business confidence. When it comes to those 242 00:13:49,480 --> 00:13:53,120 Speaker 1: consumer metrics, where do we actually stand right now? I 243 00:13:53,160 --> 00:13:55,960 Speaker 1: mean we keep hearing people say that the consumer is 244 00:13:56,000 --> 00:13:58,720 Speaker 1: carrying the economy on its back. What does the picture 245 00:13:58,760 --> 00:14:01,720 Speaker 1: actually look like. Let's start with the obvious, which is 246 00:14:01,800 --> 00:14:05,240 Speaker 1: we have three point seven percent unemployment. It's really historically low. 247 00:14:05,240 --> 00:14:06,840 Speaker 1: We've sort of gotten used to it because it's been 248 00:14:06,840 --> 00:14:09,720 Speaker 1: going on for a while, but this is really just 249 00:14:09,840 --> 00:14:11,959 Speaker 1: almost unheard of. And and the beauty is that it's 250 00:14:12,040 --> 00:14:16,720 Speaker 1: occurring without inflation. Um inflation is actually below the fed's target. 251 00:14:17,080 --> 00:14:21,320 Speaker 1: Usually if that the FED word would have expected by 252 00:14:21,360 --> 00:14:24,560 Speaker 1: now that if inflation, if an unemployment never got this low, 253 00:14:24,600 --> 00:14:27,800 Speaker 1: you would have had an outburst of inflation. So consumers 254 00:14:27,800 --> 00:14:30,640 Speaker 1: are in a great, great position here, and I think 255 00:14:30,680 --> 00:14:33,520 Speaker 1: what's important to keep that in mind is, well, we 256 00:14:33,560 --> 00:14:35,520 Speaker 1: tend to focus on the negative, but there's a huge 257 00:14:35,600 --> 00:14:41,120 Speaker 1: positive here and consumers again are the bulk of the economy. So, uh, 258 00:14:41,320 --> 00:14:45,440 Speaker 1: consumer sentiment is pretty decent. Stock market, you know, we 259 00:14:45,520 --> 00:14:47,920 Speaker 1: keep looking at the every time it comes down, but 260 00:14:48,160 --> 00:14:52,880 Speaker 1: we're not that far away from historic highs on the 261 00:14:52,920 --> 00:14:56,600 Speaker 1: major indusicries. So there's a lot to like. And I'll 262 00:14:56,640 --> 00:15:00,240 Speaker 1: just throw in a um. Bloomberg Economics came out with 263 00:15:00,240 --> 00:15:04,560 Speaker 1: the report today about the outlook for the US economy 264 00:15:04,560 --> 00:15:09,120 Speaker 1: the next twelve months. Only prediction of a risk of 265 00:15:09,160 --> 00:15:11,920 Speaker 1: recession in the next twelve months. That's based on a 266 00:15:12,000 --> 00:15:16,480 Speaker 1: survey on model. That's their model. Yeah, and a lot 267 00:15:16,520 --> 00:15:18,600 Speaker 1: of has to do with the confidence in the consumer 268 00:15:18,720 --> 00:15:20,320 Speaker 1: for a lot of these models. So that's still a 269 00:15:20,360 --> 00:15:23,800 Speaker 1: pretty high number, right, I mean the New York Fed model, 270 00:15:23,960 --> 00:15:26,960 Speaker 1: I mean it's only it only looks one yield curve, 271 00:15:27,040 --> 00:15:30,360 Speaker 1: but it's I don't think it's ever gotten above like 272 00:15:30,440 --> 00:15:34,280 Speaker 1: thirty something without a recession following. I mean, by the 273 00:15:34,320 --> 00:15:36,800 Speaker 1: time it hits a really alarming then you're in trouble. 274 00:15:36,840 --> 00:15:40,320 Speaker 1: I agree. Another widely watched indicator, of course, is the 275 00:15:40,400 --> 00:15:43,960 Speaker 1: yield curve. And when the yield curve between the twos 276 00:15:43,960 --> 00:15:47,680 Speaker 1: and the tents went inverted, everybody panicked, Well, it's not 277 00:15:47,720 --> 00:15:50,680 Speaker 1: inverted anymore. It's actually in positive territory, So you know, 278 00:15:51,200 --> 00:15:55,400 Speaker 1: I I. You can easily write a story, tell a 279 00:15:55,480 --> 00:15:59,080 Speaker 1: story of pending recession, but you can also tell a 280 00:15:59,120 --> 00:16:01,360 Speaker 1: story that maybe things be okay. It depends why your 281 00:16:01,440 --> 00:16:24,160 Speaker 1: editor asked for again, seeing such a divergence into scenarios 282 00:16:24,160 --> 00:16:26,280 Speaker 1: that you could potentially see playing out. What do you 283 00:16:26,400 --> 00:16:29,320 Speaker 1: actually advise clients to do at this point in time, 284 00:16:29,480 --> 00:16:32,320 Speaker 1: especially when so much of it seems to hang on 285 00:16:32,360 --> 00:16:34,920 Speaker 1: the back of what happens with trade, which is so 286 00:16:34,920 --> 00:16:39,280 Speaker 1: so difficult to predict. Well, we need to encourage investors 287 00:16:39,320 --> 00:16:43,200 Speaker 1: to take a long look at their portfolios have a 288 00:16:43,280 --> 00:16:46,200 Speaker 1: long time horizon. So for those that can do that, 289 00:16:46,200 --> 00:16:49,560 Speaker 1: that enables them that perspective to really put on blinders, 290 00:16:49,880 --> 00:16:53,320 Speaker 1: not listen to the noise, because we know that over 291 00:16:53,400 --> 00:16:58,720 Speaker 1: time usually equities turn in a strong performance with more volatility, 292 00:16:58,760 --> 00:17:01,320 Speaker 1: but they turn in a strong So if you can 293 00:17:01,440 --> 00:17:05,440 Speaker 1: wait a long time UM, usually you're rewarded by being 294 00:17:05,920 --> 00:17:09,320 Speaker 1: by having exposure to risk assets. That's particularly so in 295 00:17:09,320 --> 00:17:12,720 Speaker 1: an environment where the feed is accommodative. UM. We are 296 00:17:12,880 --> 00:17:16,439 Speaker 1: late cycle, but it is an abnormal late cycle because 297 00:17:16,520 --> 00:17:19,639 Speaker 1: usually late cycles are characterized by central bank tightening, and 298 00:17:19,680 --> 00:17:22,400 Speaker 1: that is not the case. The central bank is actually 299 00:17:22,480 --> 00:17:26,719 Speaker 1: getting more accommodative UM. Just this week we saw you know, 300 00:17:26,840 --> 00:17:31,640 Speaker 1: expectations go up UM significantly and and I think that 301 00:17:31,840 --> 00:17:36,639 Speaker 1: UM that speaks to a very UM positive environment for 302 00:17:36,760 --> 00:17:40,120 Speaker 1: risk assets. So UM. So to put it simply, expect 303 00:17:40,119 --> 00:17:44,080 Speaker 1: more volatility, be very well diversified UM, and that includes 304 00:17:44,119 --> 00:17:46,919 Speaker 1: not just equities and fixed income but alternatives. And be 305 00:17:47,000 --> 00:17:50,600 Speaker 1: well diversified within those three buckets UM, and and try 306 00:17:50,640 --> 00:17:53,600 Speaker 1: to drown out the noise. That is such creat advice. 307 00:17:53,680 --> 00:17:56,080 Speaker 1: You hear it so often. Uh, if you're a long 308 00:17:56,160 --> 00:17:58,320 Speaker 1: term investor, don't even look at your four O one K, 309 00:17:59,200 --> 00:18:01,680 Speaker 1: just ignore the the noise. The people really listen to 310 00:18:01,760 --> 00:18:04,480 Speaker 1: that though, or do you find clients just can't can't 311 00:18:04,480 --> 00:18:06,960 Speaker 1: help but peek at that those numbers. I think when 312 00:18:07,200 --> 00:18:11,359 Speaker 1: the headlines become alarming enough, clients can't help but worry. 313 00:18:11,480 --> 00:18:15,120 Speaker 1: And that is completely understandable. Look at two thousand eight, 314 00:18:15,160 --> 00:18:18,440 Speaker 1: two thousand nine, UM, there was just so much alarm, 315 00:18:18,440 --> 00:18:21,480 Speaker 1: and I think it took many by surprise that things 316 00:18:21,520 --> 00:18:24,919 Speaker 1: got so bad so quickly. So that creates a hyper 317 00:18:24,960 --> 00:18:28,600 Speaker 1: sensitivity to what's going on now. But the reality has 318 00:18:28,640 --> 00:18:32,520 Speaker 1: had someone UM put on you know, put on blinders 319 00:18:32,560 --> 00:18:35,399 Speaker 1: back then and ridden through it, they probably would not 320 00:18:35,520 --> 00:18:39,440 Speaker 1: have even realized how bad things got before they got better. 321 00:18:39,640 --> 00:18:41,240 Speaker 1: I do want to ask in the same post that 322 00:18:41,280 --> 00:18:43,920 Speaker 1: Mike mentioned at the beginning of the show, I saw 323 00:18:44,320 --> 00:18:47,080 Speaker 1: that you also wrote that investors should take advantage of 324 00:18:47,080 --> 00:18:51,160 Speaker 1: opportunities created by downward volatility in order to acquire oversold 325 00:18:51,200 --> 00:18:55,399 Speaker 1: assets such as Chinese stocks. Now, I feel like that's 326 00:18:55,600 --> 00:18:59,920 Speaker 1: kind of an interesting take Chinese stocks Why? And also 327 00:19:00,160 --> 00:19:02,240 Speaker 1: what other areas do you feel like at this point 328 00:19:02,480 --> 00:19:06,439 Speaker 1: are oversold but have enough positivity going forward that it's 329 00:19:06,480 --> 00:19:08,280 Speaker 1: worth it to hop in And if I can butt into, 330 00:19:08,480 --> 00:19:11,399 Speaker 1: how should a US investor approach the Chinese stock market? 331 00:19:11,440 --> 00:19:14,040 Speaker 1: I mean E. T F S or Ali baba, you know, 332 00:19:14,960 --> 00:19:18,240 Speaker 1: how would you go about it? Well, Uh, first, let 333 00:19:18,280 --> 00:19:21,560 Speaker 1: me say that Chinese stocks look attractive because they've been 334 00:19:21,560 --> 00:19:24,880 Speaker 1: beaten down for a while. Um, when the US China 335 00:19:24,920 --> 00:19:29,000 Speaker 1: trade war started, there was a conventional wisdom that suggested 336 00:19:29,040 --> 00:19:31,120 Speaker 1: that the U S would win and China would lose 337 00:19:31,160 --> 00:19:34,359 Speaker 1: a trade war, and that costs a real sell off 338 00:19:34,600 --> 00:19:37,520 Speaker 1: in Chinese stocks, and they've really been depressed for a while. 339 00:19:37,600 --> 00:19:41,600 Speaker 1: Now valuations are very attractive. I think there's a growing 340 00:19:41,640 --> 00:19:44,320 Speaker 1: recognition that there are no winners in a trade war. 341 00:19:44,560 --> 00:19:48,160 Speaker 1: And then in fact, China maybe in a better position 342 00:19:48,359 --> 00:19:51,080 Speaker 1: given its ability to throw all kinds of stimulus at 343 00:19:51,080 --> 00:19:54,959 Speaker 1: its economy, whether it's fiscal or monetary versus what the 344 00:19:55,160 --> 00:19:57,840 Speaker 1: what the U S has its its disposal, which is 345 00:19:57,880 --> 00:20:01,560 Speaker 1: not as many tools to stimulate it economy. And so 346 00:20:02,080 --> 00:20:07,320 Speaker 1: that to me creates an environment where Chinese stocks um 347 00:20:07,440 --> 00:20:11,520 Speaker 1: our opportunities, especially if one has a long enough time horizon. 348 00:20:12,080 --> 00:20:15,680 Speaker 1: How do you access Chinese stocks? Well, it's very interesting, 349 00:20:15,720 --> 00:20:19,480 Speaker 1: but um, you know a shares could be one way 350 00:20:19,520 --> 00:20:21,840 Speaker 1: to do that in this environment and starting to look 351 00:20:21,840 --> 00:20:25,919 Speaker 1: more attractive beyond just Chinese stocks, I would focus in 352 00:20:26,000 --> 00:20:30,600 Speaker 1: on emerging markets equities in general as well as e 353 00:20:30,760 --> 00:20:33,440 Speaker 1: M debt just because of the yields. UM. We are 354 00:20:33,520 --> 00:20:36,280 Speaker 1: in a world of low yields and it doesn't look 355 00:20:36,320 --> 00:20:38,320 Speaker 1: like it's going to change anytime soon, or though it 356 00:20:38,400 --> 00:20:40,840 Speaker 1: might get lower, and so we're gonna have to sniff 357 00:20:40,880 --> 00:20:43,840 Speaker 1: out whatever opportunities we can in terms of yield. That's 358 00:20:43,840 --> 00:20:45,639 Speaker 1: going to take us to dividend paying stocks, but will 359 00:20:45,720 --> 00:20:48,520 Speaker 1: also take us to e M debt, which relative to 360 00:20:48,640 --> 00:20:54,560 Speaker 1: historical um uh, historical yield looks pretty good right now. 361 00:20:54,800 --> 00:20:59,360 Speaker 1: Any particular countries look at or sovereign corporates for you, well, 362 00:20:59,600 --> 00:21:02,080 Speaker 1: I think you can really run the run the gamut 363 00:21:02,160 --> 00:21:05,760 Speaker 1: and have exposure to both sovereigns and corporates UM. But 364 00:21:06,040 --> 00:21:09,840 Speaker 1: for sovereigns I would focus in on Asia. UM. I 365 00:21:09,880 --> 00:21:12,639 Speaker 1: have a question about that. This sounds a little bit 366 00:21:12,680 --> 00:21:17,720 Speaker 1: like reaching for yield, being dissatisfied with what conventional assets 367 00:21:17,760 --> 00:21:20,280 Speaker 1: give you, and saying, well, I'll go to some more 368 00:21:20,280 --> 00:21:24,040 Speaker 1: obscure corners of investing world, and of course that can 369 00:21:24,040 --> 00:21:28,280 Speaker 1: turn out really badly. What about the alternative of just saying, Okay, 370 00:21:28,320 --> 00:21:30,359 Speaker 1: I'm gonna have to live with the fact that yields 371 00:21:30,400 --> 00:21:32,880 Speaker 1: are kind of low and that will just dust us 372 00:21:32,920 --> 00:21:38,480 Speaker 1: my life. It doesn't sound like a very happy Well, 373 00:21:38,520 --> 00:21:41,400 Speaker 1: you haven't given a great set of options. But if 374 00:21:41,480 --> 00:21:45,239 Speaker 1: you want, if you're willing to take lower yields, then 375 00:21:45,280 --> 00:21:48,280 Speaker 1: you're going to have to save more. UM. Yeah, but 376 00:21:48,440 --> 00:21:52,200 Speaker 1: I would say that going out on the on the 377 00:21:52,359 --> 00:21:56,159 Speaker 1: risk curve, so to speak, UM, moving into higher yielding 378 00:21:56,200 --> 00:22:00,800 Speaker 1: asset classes as long as you're well diversified and UM 379 00:22:01,160 --> 00:22:06,680 Speaker 1: can make sense. Uh. If you if you're adding US municipals, 380 00:22:06,880 --> 00:22:09,800 Speaker 1: high yield municipals as well as he AM debt UM, 381 00:22:09,880 --> 00:22:15,239 Speaker 1: you're getting a well diversified array of yielding debt and 382 00:22:15,320 --> 00:22:18,280 Speaker 1: some correlations don't go to one as long as the 383 00:22:18,280 --> 00:22:20,440 Speaker 1: correlation of one. But I will tell you that one 384 00:22:20,520 --> 00:22:24,159 Speaker 1: big headwind has been removed from emerging market equities and 385 00:22:24,280 --> 00:22:27,880 Speaker 1: that is balance sheet normalization that was creating a huge 386 00:22:27,880 --> 00:22:32,120 Speaker 1: liquidity stuck and that is going away. I'm going all 387 00:22:32,280 --> 00:22:38,359 Speaker 1: hundred year Argentina bonds entire PORF sounds very safe and 388 00:22:38,960 --> 00:22:43,040 Speaker 1: I will tell you that it's not advocated. That was 389 00:22:43,119 --> 00:22:46,760 Speaker 1: just a joke for anyone else, a joke where it 390 00:22:46,840 --> 00:22:50,000 Speaker 1: was completely serious for our listeners in Argentine. Do we 391 00:22:50,119 --> 00:22:52,600 Speaker 1: have some sort of a footnote weekend read right now 392 00:22:52,680 --> 00:22:55,480 Speaker 1: compliance footnote on yeah, right right, read all the footnotes. 393 00:22:55,480 --> 00:22:57,080 Speaker 1: Do not listen to Mike reading, I think is the 394 00:22:57,080 --> 00:23:02,359 Speaker 1: main foot as Peter real quickly, before we get to 395 00:23:02,400 --> 00:23:03,960 Speaker 1: the crazy things, I have to ask you about this 396 00:23:04,000 --> 00:23:07,080 Speaker 1: piece you have in a business week. Everyone has a 397 00:23:07,160 --> 00:23:10,320 Speaker 1: wealth number, what's yours? And the lead is really funny. 398 00:23:10,320 --> 00:23:12,480 Speaker 1: You say the world needs a more precise way to 399 00:23:12,520 --> 00:23:17,160 Speaker 1: describe wealth. Millionaires too broad, covering everyone from random pikers 400 00:23:17,200 --> 00:23:18,919 Speaker 1: with a scant one million in net worth all the 401 00:23:18,920 --> 00:23:21,960 Speaker 1: way up to people just shout of billionaires. Billionaire has 402 00:23:21,960 --> 00:23:24,320 Speaker 1: the same problem and being you know, what's the meaning 403 00:23:24,320 --> 00:23:26,720 Speaker 1: to be a millionaire? Billionaire? So so tell us real 404 00:23:26,800 --> 00:23:29,399 Speaker 1: quickly what you did with this. You basically created a 405 00:23:29,440 --> 00:23:34,840 Speaker 1: scale scale, a scale which is based on logarithms, and said, okay, look, uh, 406 00:23:35,160 --> 00:23:37,919 Speaker 1: if you're a million, one million dollars is ten to 407 00:23:37,960 --> 00:23:42,080 Speaker 1: the six power dollars, so you're a six, right, A 408 00:23:42,119 --> 00:23:44,320 Speaker 1: thousand dollars is tend to the third, so you're three 409 00:23:44,440 --> 00:23:47,280 Speaker 1: until your net worth it can be boiled onto a 410 00:23:47,320 --> 00:23:51,160 Speaker 1: single number. Um, if you're worth one penny, that's tend 411 00:23:51,200 --> 00:23:53,359 Speaker 1: to the negative seconds, so you're a minus two. That's 412 00:23:53,520 --> 00:23:56,719 Speaker 1: kind of low and then the richest people in the world, 413 00:23:56,800 --> 00:23:58,800 Speaker 1: and they're really only two of them in this category, 414 00:23:58,840 --> 00:24:01,960 Speaker 1: Bill Gates and Jeffrey Bays. Those are elevens. They have 415 00:24:02,119 --> 00:24:05,040 Speaker 1: more than a hundred billion dollars in net worth. So 416 00:24:05,119 --> 00:24:07,240 Speaker 1: that's the fun of it, is like, well, everybody is 417 00:24:07,280 --> 00:24:11,160 Speaker 1: somewhere in that scale, even if you're have liabilities exceeding 418 00:24:11,160 --> 00:24:15,560 Speaker 1: your assets, so the logarithm is undefined. I just arbitrually 419 00:24:15,640 --> 00:24:19,080 Speaker 1: stuck them into the minus two categories. That's really interesting, 420 00:24:19,680 --> 00:24:22,679 Speaker 1: especially that catches on. It is catching on. It's like 421 00:24:22,720 --> 00:24:25,840 Speaker 1: amazing people should look at it on the internet, like 422 00:24:25,920 --> 00:24:28,520 Speaker 1: everybody is saying, oh, what's your one or what's your number? 423 00:24:28,720 --> 00:24:30,879 Speaker 1: Has been pretty fun. Yeah, alright, well we will not 424 00:24:30,960 --> 00:24:34,320 Speaker 1: disclose our numbers. No, no, no, Well, in this show, 425 00:24:34,440 --> 00:24:37,400 Speaker 1: we will disclose the craziest things we've seen this week? 426 00:24:37,520 --> 00:24:40,040 Speaker 1: Is it to the invest go is a eleven in 427 00:24:40,160 --> 00:24:43,400 Speaker 1: terms of the amount of an assets under manage nine 428 00:24:43,440 --> 00:24:47,159 Speaker 1: hundreds something billion. Actually we're at a close to one 429 00:24:47,160 --> 00:24:54,320 Speaker 1: point to trillion, so you're a twelve. Amazing bezos. Yeah, 430 00:24:55,920 --> 00:24:59,240 Speaker 1: wow about those crazy things, Sarah, I believe we got 431 00:24:59,240 --> 00:25:01,320 Speaker 1: a call in to the what goes up hotline. Is 432 00:25:01,320 --> 00:25:03,679 Speaker 1: that true? We did. It's from Morgan Hill. He's an 433 00:25:03,720 --> 00:25:08,040 Speaker 1: investment associate at Providence Wealth Advisors in Fort Lauderdale, Florida. 434 00:25:08,119 --> 00:25:13,119 Speaker 1: So let's take a listen. I've noticed on Tuesday that 435 00:25:13,320 --> 00:25:19,080 Speaker 1: Charles Schwab Interactive Brokers actually announced that they're issuing a 436 00:25:19,119 --> 00:25:25,879 Speaker 1: commission free trading platform for stocks, et s and options online. 437 00:25:26,280 --> 00:25:28,879 Speaker 1: And what was crazy about it that as soon as 438 00:25:28,960 --> 00:25:32,959 Speaker 1: that announcement came out, both of their UM kickers as 439 00:25:33,000 --> 00:25:37,159 Speaker 1: well as TDA Merrit Trade and other brokers dropped at 440 00:25:37,240 --> 00:25:40,000 Speaker 1: least nine percent. So the market interpret of that is 441 00:25:40,040 --> 00:25:44,359 Speaker 1: a negative, I guess, but I just thought it was crazy. 442 00:25:44,400 --> 00:25:47,000 Speaker 1: So it was. And then we saw TDA Merrit Trade follow, 443 00:25:47,080 --> 00:25:49,760 Speaker 1: we saw each trade follow, and that just really plays 444 00:25:49,800 --> 00:25:53,080 Speaker 1: into that whole narrative of what we've seen of these 445 00:25:53,080 --> 00:25:55,880 Speaker 1: different brokerages just in a race to the bottom. It's 446 00:25:55,920 --> 00:25:58,320 Speaker 1: pretty it was a pretty big story. And the question 447 00:25:58,400 --> 00:26:00,000 Speaker 1: people always ask me about that as well, how did 448 00:26:00,040 --> 00:26:02,680 Speaker 1: these guys make money? And you know the answers well, 449 00:26:02,800 --> 00:26:05,480 Speaker 1: net interest margin, like banks, you know, people have cash 450 00:26:05,560 --> 00:26:08,200 Speaker 1: sitting there and they make money off of those bounces. 451 00:26:08,280 --> 00:26:10,639 Speaker 1: But also what I think is really interesting is the 452 00:26:10,680 --> 00:26:13,520 Speaker 1: payment for order flow. You know, these firms basically sell 453 00:26:13,560 --> 00:26:17,960 Speaker 1: their order flow to electronic market makers a k. High 454 00:26:17,960 --> 00:26:21,680 Speaker 1: speed traders. So I'll be curious if that whole controversy 455 00:26:21,800 --> 00:26:25,399 Speaker 1: over h f T comes back. People always love talking 456 00:26:25,440 --> 00:26:28,160 Speaker 1: and ragging on h f T, so I wouldn't be surprised. 457 00:26:28,200 --> 00:26:30,359 Speaker 1: I think that's it's a day in the sun again. 458 00:26:30,640 --> 00:26:32,640 Speaker 1: Well thanks to the color. That's a That's a good one, Sarah. 459 00:26:32,680 --> 00:26:36,760 Speaker 1: Can you top the zero commission fees? I don't know 460 00:26:36,800 --> 00:26:39,399 Speaker 1: if I can, but I think this is a pretty 461 00:26:39,400 --> 00:26:40,919 Speaker 1: good one. I think we could say there's been some 462 00:26:40,960 --> 00:26:45,679 Speaker 1: craziness going on over at Credit Suites. There was this 463 00:26:45,760 --> 00:26:50,679 Speaker 1: investigation disclosed in which one of the former heads of 464 00:26:50,760 --> 00:26:54,080 Speaker 1: the wealth management unit left and the CEO had sent 465 00:26:54,119 --> 00:26:58,600 Speaker 1: a private investigator detective after him. Well, Bloomberg had a 466 00:26:58,680 --> 00:27:04,680 Speaker 1: great story out this week, and what they disclosed was 467 00:27:04,760 --> 00:27:08,880 Speaker 1: that there was one day um when the two parties 468 00:27:09,480 --> 00:27:13,080 Speaker 1: were at the same party together and they got in 469 00:27:13,200 --> 00:27:18,680 Speaker 1: a fight, supposedly over gardening, and they make it out 470 00:27:18,720 --> 00:27:21,120 Speaker 1: to seem as if ever since that moment, there's been 471 00:27:21,160 --> 00:27:23,600 Speaker 1: this back and forth between the two which because one 472 00:27:23,680 --> 00:27:28,240 Speaker 1: criticized the equality of the other's garden right, So it's 473 00:27:28,320 --> 00:27:31,120 Speaker 1: pretty pretty unbelievable. I guess you asked for gardening leave 474 00:27:31,200 --> 00:27:37,480 Speaker 1: after that. Yeah, man, the Crowns need a better studio 475 00:27:37,520 --> 00:27:42,760 Speaker 1: audience here, Peter, Can you top the Great Garden Words? 476 00:27:43,640 --> 00:27:46,000 Speaker 1: It's kind of a weird one. I went to a 477 00:27:46,000 --> 00:27:48,440 Speaker 1: book party for Stephen Schwartzman this week. He has a 478 00:27:48,480 --> 00:27:51,399 Speaker 1: new book coming out called What It Takes, and he 479 00:27:51,480 --> 00:27:53,600 Speaker 1: spoke with the New York Pollitic Library and the Schwartzman 480 00:27:53,640 --> 00:27:57,040 Speaker 1: Building as it happens. Um, what a coincidence. And at 481 00:27:57,040 --> 00:28:00,399 Speaker 1: the end of it, he was asked about what Bernie 482 00:28:00,440 --> 00:28:03,880 Speaker 1: Sanders said, which is that I don't think billionaires should exist. 483 00:28:04,000 --> 00:28:07,399 Speaker 1: So uh, impromptu, he shot back, I don't think Bernie 484 00:28:07,480 --> 00:28:10,760 Speaker 1: Sanders should exist, so bold. I wrote a story about 485 00:28:10,800 --> 00:28:12,480 Speaker 1: this and it was getting a lot of traffic, and 486 00:28:12,480 --> 00:28:15,120 Speaker 1: then suddenly we had the terrible news about Bernie Sanders. 487 00:28:15,480 --> 00:28:18,879 Speaker 1: Extents put in um and I'm sure he's gonna be fine, 488 00:28:18,960 --> 00:28:21,440 Speaker 1: but it was a little scary, and so we kind 489 00:28:21,440 --> 00:28:26,919 Speaker 1: of submerged that story. Timing not the best timing, but 490 00:28:27,359 --> 00:28:29,800 Speaker 1: thankfully they have come out now and said Bernie Sanders 491 00:28:29,800 --> 00:28:33,240 Speaker 1: should be fine. I'll be at the next debate etcetera, etcetera. Yeah, 492 00:28:33,320 --> 00:28:34,960 Speaker 1: well you won't get a lecture for me. I've never 493 00:28:35,000 --> 00:28:38,440 Speaker 1: been famous for my good taste. What did Schwarzman's what 494 00:28:38,520 --> 00:28:40,480 Speaker 1: a seven or an eight on your scale? Yeah, he's 495 00:28:40,480 --> 00:28:43,440 Speaker 1: a ten. That's okay. Yeah he's up there, but he's 496 00:28:43,480 --> 00:28:47,280 Speaker 1: not as well. You know, Christina, did they inform you 497 00:28:47,400 --> 00:28:50,400 Speaker 1: of our our tradition here with the craziest thing? Yes, 498 00:28:50,520 --> 00:28:53,320 Speaker 1: but I'm not as interesting certainly as the stories you have, 499 00:28:53,440 --> 00:28:56,240 Speaker 1: so I have to apologize in advance. But it seems 500 00:28:56,280 --> 00:28:58,520 Speaker 1: this seemed pretty crazy to me, and it just has 501 00:28:58,560 --> 00:29:01,800 Speaker 1: to do with FED funds futures. If you look at 502 00:29:01,800 --> 00:29:05,680 Speaker 1: the CMEME FED Watch tool, in just a week, and 503 00:29:05,720 --> 00:29:07,920 Speaker 1: of course during the course of that week, we got 504 00:29:07,920 --> 00:29:10,800 Speaker 1: the I s M manufacturing number and we got the 505 00:29:10,840 --> 00:29:13,920 Speaker 1: I s M Services number. But the course of a week, um, 506 00:29:14,240 --> 00:29:18,080 Speaker 1: we went from less than fifty expecting a rate cut 507 00:29:18,080 --> 00:29:20,160 Speaker 1: at the end of the month to a full eighty 508 00:29:20,280 --> 00:29:23,000 Speaker 1: eight percent or so expecting a rake cut at the 509 00:29:23,080 --> 00:29:25,240 Speaker 1: end of the month. So talk about a story where 510 00:29:25,520 --> 00:29:29,040 Speaker 1: bad is good. Um. Markets always seem to find a 511 00:29:29,040 --> 00:29:31,800 Speaker 1: way to find a silver lining, and this seems to 512 00:29:31,800 --> 00:29:34,080 Speaker 1: be it, especially to move that close to the meeting. 513 00:29:34,120 --> 00:29:36,040 Speaker 1: I think is is pretty rare that to see those 514 00:29:36,200 --> 00:29:39,760 Speaker 1: those moves that close, especially given how much dissension we've 515 00:29:39,760 --> 00:29:43,000 Speaker 1: heard from the FED um. The reluctance with which some 516 00:29:43,120 --> 00:29:46,520 Speaker 1: members actually voted for a cut in September very interesting. 517 00:29:46,920 --> 00:29:50,040 Speaker 1: There's no doubt that the meeting this month will be 518 00:29:50,160 --> 00:29:53,760 Speaker 1: very very well watched, and hopefully they will only have 519 00:29:53,920 --> 00:29:57,040 Speaker 1: plastic utensils, because you know, we don't want to see 520 00:29:57,040 --> 00:29:59,440 Speaker 1: any kind of a violence breakout on the course of 521 00:29:59,480 --> 00:30:03,040 Speaker 1: a FED meet that could be very charged. Yes, yes, okay, 522 00:30:03,080 --> 00:30:05,880 Speaker 1: these are all good crazy things. I'm gonna go out 523 00:30:05,880 --> 00:30:11,160 Speaker 1: on a women say I think I consider you a 524 00:30:11,200 --> 00:30:13,880 Speaker 1: trendy New Yorker. That's that's safe to say. I think 525 00:30:13,960 --> 00:30:18,719 Speaker 1: you might be. You might be giving me something from 526 00:30:18,800 --> 00:30:21,720 Speaker 1: a bridge and tunnel guy like myself. You're you're a trendy. 527 00:30:21,760 --> 00:30:24,240 Speaker 1: So this is straight out of the headlines from the 528 00:30:24,280 --> 00:30:28,360 Speaker 1: New York Post. I'm not making this up. By the way, 529 00:30:28,720 --> 00:30:32,280 Speaker 1: the hottest new psychedelic drug trend among trendy New Yorkers 530 00:30:32,440 --> 00:30:36,560 Speaker 1: is illegal toad venom. But illegal toad venom, so apparently 531 00:30:36,560 --> 00:30:39,600 Speaker 1: you take a Colorado River toad and you have to 532 00:30:39,640 --> 00:30:41,960 Speaker 1: milk the venom out of it. Then you try. I 533 00:30:42,000 --> 00:30:45,960 Speaker 1: won't ask how I don't ask. It's like that, Robert, 534 00:30:48,200 --> 00:30:50,040 Speaker 1: I'm not sure you're calling me a trendy New Yorker. 535 00:30:50,160 --> 00:30:53,080 Speaker 1: Is really much of a compliment? Have you been spoken? 536 00:30:53,120 --> 00:30:56,120 Speaker 1: Absolutely not. So you drive into a paste and you 537 00:30:56,200 --> 00:30:58,640 Speaker 1: smoke it. And remember, Peter, when we were kids, people 538 00:30:58,720 --> 00:31:01,600 Speaker 1: used to joke about licking toads. I think it was 539 00:31:01,640 --> 00:31:03,560 Speaker 1: the same idea, but now they they've taken it. I'm 540 00:31:03,600 --> 00:31:08,200 Speaker 1: just surprised it's not vaping toads. But here's this one 541 00:31:08,200 --> 00:31:11,200 Speaker 1: guy sitting cross leg on a blanket in his Soho 542 00:31:11,280 --> 00:31:13,960 Speaker 1: apartment Parrot Paul and held toad venom smoked through a 543 00:31:14,000 --> 00:31:17,160 Speaker 1: glass stemp pipe. I saw my younger self with my 544 00:31:17,240 --> 00:31:20,640 Speaker 1: parents and next boyfriends and places I've been hurt. I 545 00:31:20,680 --> 00:31:23,360 Speaker 1: experienced forty five minutes of shooting through the universe and 546 00:31:23,440 --> 00:31:26,880 Speaker 1: being reborn. So this is the crazy story I've ever seen. 547 00:31:27,080 --> 00:31:29,760 Speaker 1: I've seen, and obviously it's very Of course, if you're 548 00:31:29,800 --> 00:31:31,800 Speaker 1: gonna have a psychedelic drug trend, it's going to be 549 00:31:31,800 --> 00:31:35,760 Speaker 1: popular in the Hampton's uh. Recently, the Post reports twenty 550 00:31:35,760 --> 00:31:38,040 Speaker 1: one people in white robes gathered at a mansion in 551 00:31:38,080 --> 00:31:40,840 Speaker 1: the Hamptons to smoke the substance with the same shaman 552 00:31:40,920 --> 00:31:44,120 Speaker 1: that Poul used. So you may ask, well, what does 553 00:31:44,160 --> 00:31:45,680 Speaker 1: this have to do with market, what does it want? 554 00:31:46,360 --> 00:31:50,120 Speaker 1: And the answer is not nothing. Really, it's such it's 555 00:31:50,120 --> 00:31:53,320 Speaker 1: a black market, right Mike. If I had known that 556 00:31:53,320 --> 00:32:00,080 Speaker 1: that there was such a liberal interpretation this week, I 557 00:32:00,080 --> 00:32:02,000 Speaker 1: would have told you the story about the squirrel that 558 00:32:02,080 --> 00:32:06,800 Speaker 1: actually asked a hiker for help um for its injured baby. Yes, absolutely, 559 00:32:06,960 --> 00:32:10,200 Speaker 1: this was in the news in the last week. UM 560 00:32:10,280 --> 00:32:14,080 Speaker 1: in Pulaski, Virginia. A hiker was walking on a trail. 561 00:32:14,360 --> 00:32:16,800 Speaker 1: A squirrel came out and wouldn't let it pass and 562 00:32:16,880 --> 00:32:19,600 Speaker 1: brought it to it, tugged on the hikers pants and 563 00:32:19,640 --> 00:32:23,400 Speaker 1: brought it to its injured um, small baby squirrel um, 564 00:32:23,440 --> 00:32:25,920 Speaker 1: which was being managed by a cat. This is beautiful, 565 00:32:26,120 --> 00:32:27,880 Speaker 1: isn't this. I mean, this is one of those feel 566 00:32:27,960 --> 00:32:31,080 Speaker 1: good moments that's not just crazy, but it's heartwarming. All 567 00:32:31,120 --> 00:32:33,160 Speaker 1: is good in the world now. But they didn't really 568 00:32:33,200 --> 00:32:35,400 Speaker 1: ask for help. I was assuming the hiker was smoking 569 00:32:35,440 --> 00:32:38,840 Speaker 1: some toad venoms. That could have been the case. All right, 570 00:32:38,880 --> 00:32:40,840 Speaker 1: that's a good one too, But this is a black market, 571 00:32:40,880 --> 00:32:43,840 Speaker 1: so it is okay. I give you that a stretch. 572 00:32:43,880 --> 00:32:46,600 Speaker 1: It's a stratech, but it was crazy, so i'll give 573 00:32:46,600 --> 00:32:52,880 Speaker 1: you that, and the squirrel relates to first date. All 574 00:32:52,920 --> 00:32:56,680 Speaker 1: coming together with that said, though, Christina Hooper Peter Coy 575 00:32:56,960 --> 00:32:58,800 Speaker 1: was so great having you both on the show today. 576 00:32:58,800 --> 00:33:11,000 Speaker 1: Thank you, Thank you. What Goes Up. We'll be back 577 00:33:11,120 --> 00:33:13,320 Speaker 1: next week. Until then, you can find us on the 578 00:33:13,320 --> 00:33:17,240 Speaker 1: Bloomberg Terminal website and app, or wherever you get your podcasts. 579 00:33:17,600 --> 00:33:19,320 Speaker 1: We'd love it if you took the time to rate 580 00:33:19,400 --> 00:33:22,680 Speaker 1: interview the show on Apple Podcasts so more listeners can 581 00:33:22,720 --> 00:33:25,719 Speaker 1: find us. And you can find us on Twitter. Follow 582 00:33:25,760 --> 00:33:29,400 Speaker 1: me at at Sarah pont Seck, Mike is at Regnonymous. 583 00:33:29,720 --> 00:33:33,240 Speaker 1: Our guest Christina Hooper is at Christina Hooper, and Peter 584 00:33:33,360 --> 00:33:36,560 Speaker 1: Coy is at peter Ki. You can also follow Bloomberg 585 00:33:36,600 --> 00:33:41,000 Speaker 1: Podcasts at podcasts. What Goes Up is produced by Toper Foreheads. 586 00:33:41,040 --> 00:33:44,040 Speaker 1: The head of Bloomberg podcast is Francesco Levie. Thanks for 587 00:33:44,120 --> 00:33:45,400 Speaker 1: listening to you. Next time,