1 00:00:13,880 --> 00:00:16,960 Speaker 1: Hello, and welcome to What Goes Up, a Bloomberg weekly 2 00:00:17,000 --> 00:00:20,840 Speaker 1: market podcast. I'm Sarah Pantzack, markets reporter on the Cross 3 00:00:20,840 --> 00:00:23,959 Speaker 1: Asset Team, and I'm Mike Reagan, a senior editor on 4 00:00:24,000 --> 00:00:26,799 Speaker 1: the Market team. This week, we'll discuss how the Federal 5 00:00:26,840 --> 00:00:30,400 Speaker 1: Reserve signaled it may be ready to lower interest rates. 6 00:00:30,600 --> 00:00:32,599 Speaker 1: That helps send the SMP five hunted to an inter 7 00:00:32,720 --> 00:00:36,200 Speaker 1: day record, but that doesn't necessarily mean that the risks 8 00:00:36,240 --> 00:00:39,000 Speaker 1: are gone. Rather, the G twenty meeting is next week, 9 00:00:39,080 --> 00:00:42,159 Speaker 1: and now there's actually concerns over a real war with 10 00:00:42,320 --> 00:00:45,919 Speaker 1: Iran after our U S drone was shot down. Meanwhile, 11 00:00:46,320 --> 00:00:49,600 Speaker 1: the March of the Unicorns continues with Slack Technologies making 12 00:00:49,600 --> 00:00:53,239 Speaker 1: its triumphant debut on Wall Street, and our guests will 13 00:00:53,280 --> 00:00:55,160 Speaker 1: help us sort all of that out, and of course 14 00:00:55,160 --> 00:00:58,520 Speaker 1: we'll finish with our tradition the craziest thing I ever 15 00:00:58,560 --> 00:01:03,520 Speaker 1: saw in markets this week, Sarah, I'm assuming you're prepared well. 16 00:01:03,560 --> 00:01:05,560 Speaker 1: Our two guests are today. I don't know if you realize, 17 00:01:05,680 --> 00:01:08,760 Speaker 1: but they both remind me of my days over on 18 00:01:08,880 --> 00:01:12,160 Speaker 1: Bloomberg Opinion. What was called gadfly back then, and this 19 00:01:12,240 --> 00:01:15,160 Speaker 1: is back when I was licensed and accredited to actually 20 00:01:15,200 --> 00:01:19,559 Speaker 1: have opinions in this company, I'm you're no longer allowed 21 00:01:19,560 --> 00:01:21,520 Speaker 1: to have opinions, and I'll tell you have an opinions 22 00:01:21,600 --> 00:01:23,800 Speaker 1: is harder than it sounds. I mean, it's one thing 23 00:01:23,840 --> 00:01:26,399 Speaker 1: to call up someone and get his opinions on the market, 24 00:01:26,440 --> 00:01:28,400 Speaker 1: and then if he's wrong, it's it's his problem and 25 00:01:28,480 --> 00:01:30,480 Speaker 1: you can move on. But when you have to have 26 00:01:30,560 --> 00:01:34,199 Speaker 1: him yourself, it's it's actually pretty incimidating. But our first 27 00:01:34,240 --> 00:01:38,640 Speaker 1: guest here, uh Julian Emmanuel of bt I G, the 28 00:01:38,720 --> 00:01:42,039 Speaker 1: chief Equity and Derivative strategist. Welcome to the show. Joints. 29 00:01:42,120 --> 00:01:45,080 Speaker 1: Great to be here. And Julian, Now, when I used 30 00:01:45,120 --> 00:01:48,280 Speaker 1: to have opinions, I can assure you they were all valid, 31 00:01:48,360 --> 00:01:51,800 Speaker 1: serious opinions, except on Fridays when I went off my meds. 32 00:01:52,400 --> 00:01:55,120 Speaker 1: And one week, one week, the story I wrote about 33 00:01:55,200 --> 00:01:58,640 Speaker 1: was a Bloomberg story about how Jay Crew had widened 34 00:01:58,720 --> 00:02:01,880 Speaker 1: neckties by a quitter. And that made me think, we 35 00:02:01,920 --> 00:02:04,800 Speaker 1: have to do a league table of the best dressmen 36 00:02:04,840 --> 00:02:06,880 Speaker 1: on Wall Street to to find out how why their 37 00:02:07,000 --> 00:02:10,520 Speaker 1: their neckties were. And I did, and I did, and 38 00:02:10,520 --> 00:02:12,400 Speaker 1: I'll tell you some of our friends in Bloomberg did 39 00:02:12,400 --> 00:02:15,600 Speaker 1: not perform well in this league table. John Farrow was 40 00:02:15,639 --> 00:02:19,480 Speaker 1: at the bottom at about two and a quarter. Yeah, 41 00:02:19,639 --> 00:02:23,600 Speaker 1: even Lukawa was near the bottom at two and a quarter. Julian, 42 00:02:23,639 --> 00:02:25,040 Speaker 1: I'm proud to say it was right in the middle, 43 00:02:25,040 --> 00:02:26,400 Speaker 1: which I think is where you want to be in 44 00:02:26,440 --> 00:02:29,919 Speaker 1: this particular league table three and a quarter. I gotta 45 00:02:29,960 --> 00:02:32,240 Speaker 1: call you out on that one, Mike, because basically, a 46 00:02:32,280 --> 00:02:34,639 Speaker 1: couple of years ago I was on with Keen and 47 00:02:34,720 --> 00:02:39,320 Speaker 1: Tom looked at me said that is a beautiful So 48 00:02:40,360 --> 00:02:43,120 Speaker 1: I don't know about that. I'm not even sure if 49 00:02:43,120 --> 00:02:46,639 Speaker 1: you voluntarily participated or if I just hijacked you with 50 00:02:46,639 --> 00:02:48,560 Speaker 1: a ruler after he came off TV or something I 51 00:02:48,760 --> 00:02:51,520 Speaker 1: I can't remember. Yeah, how do you even get I'm 52 00:02:51,520 --> 00:02:53,720 Speaker 1: surprised You've got so many people to participates in the middle, 53 00:02:53,720 --> 00:02:55,440 Speaker 1: and I think that is the sweet spot, right at 54 00:02:55,440 --> 00:02:57,480 Speaker 1: near the national benchmark average. You don't want to be 55 00:02:57,480 --> 00:02:59,960 Speaker 1: in the in the tail of this bell curve at all. 56 00:02:59,840 --> 00:03:03,600 Speaker 1: But also from Bloomberg opinion, my old pal Shira over Day, 57 00:03:03,639 --> 00:03:07,959 Speaker 1: who covers all things technology and whatnot, sure can probably 58 00:03:08,000 --> 00:03:10,360 Speaker 1: explain that maybe that necktie story is why I'm no 59 00:03:10,400 --> 00:03:15,320 Speaker 1: longer allowed to have opinions disagree. We need more necktie 60 00:03:15,360 --> 00:03:18,560 Speaker 1: content on Bloomberg Opinion. I was hoping someone would refresh 61 00:03:18,560 --> 00:03:21,000 Speaker 1: that league table once a year, but no luck. Can 62 00:03:21,000 --> 00:03:23,440 Speaker 1: you imagine if they assigned it to an intern or 63 00:03:23,600 --> 00:03:26,960 Speaker 1: someone new, make sure that they track every single person 64 00:03:26,960 --> 00:03:28,440 Speaker 1: down and measure their necktime. I have to admit that 65 00:03:28,480 --> 00:03:30,440 Speaker 1: I am looking at your necktie right now, Mike, to 66 00:03:30,520 --> 00:03:35,200 Speaker 1: see how wide it is. Little, but anyway, from neckties 67 00:03:35,240 --> 00:03:37,320 Speaker 1: to FED, I don't really know how to make that 68 00:03:37,560 --> 00:03:41,720 Speaker 1: it's truly smooth transition. If everyone has ideas, shout let 69 00:03:41,720 --> 00:03:43,960 Speaker 1: me know. But Julie and I want to come to you, 70 00:03:44,120 --> 00:03:47,080 Speaker 1: because everyone was talking about before the FED meeting on Wednesday, 71 00:03:47,120 --> 00:03:49,960 Speaker 1: the statement that it was going to be so difficult 72 00:03:50,040 --> 00:03:52,960 Speaker 1: for them to truly out of the markets, but it 73 00:03:53,040 --> 00:03:56,280 Speaker 1: seems likely. Did I mean, is that truly what happened here? 74 00:03:57,240 --> 00:03:59,200 Speaker 1: That is definitely part of it. And I have to say, 75 00:03:59,200 --> 00:04:02,320 Speaker 1: I'll give you the trade transition here. Chair Pal's necktie 76 00:04:02,720 --> 00:04:05,760 Speaker 1: at the press conference was about as tight as it 77 00:04:05,800 --> 00:04:10,360 Speaker 1: could possibly have been given the tweets of the previous 78 00:04:10,400 --> 00:04:14,080 Speaker 1: forty eight hours. Um. You know, from from our point 79 00:04:14,120 --> 00:04:17,280 Speaker 1: of view, we actually expected that the FED might disappoint 80 00:04:17,720 --> 00:04:22,200 Speaker 1: given the debvish expectations. But Chair Powell really did come 81 00:04:22,279 --> 00:04:24,640 Speaker 1: through UM, and you can see it in the market 82 00:04:25,000 --> 00:04:28,680 Speaker 1: pricing in a really a hundred percent chance of a 83 00:04:28,720 --> 00:04:32,200 Speaker 1: twenty five basis point cut at the July meeting, and 84 00:04:32,279 --> 00:04:37,200 Speaker 1: actually almost a chance of a fifty basis point cut. Uh. 85 00:04:37,240 --> 00:04:40,920 Speaker 1: So the markets definitely did like it, but importantly the 86 00:04:40,960 --> 00:04:45,760 Speaker 1: Fed like the market's reaction to what it said. Right. 87 00:04:46,160 --> 00:04:48,600 Speaker 1: But last I read from you, you're actually thinking it 88 00:04:48,920 --> 00:04:51,760 Speaker 1: won't come until September, that that first cut and then 89 00:04:51,760 --> 00:04:54,280 Speaker 1: maybe another in December. Is that still you're thinking after 90 00:04:54,839 --> 00:04:58,920 Speaker 1: this week's performance, we're sticking with that, although clearly the 91 00:04:58,920 --> 00:05:02,200 Speaker 1: the odds of skewed of the potential for July. But 92 00:05:02,320 --> 00:05:05,080 Speaker 1: if you think about the sort of quandary that the 93 00:05:05,160 --> 00:05:09,520 Speaker 1: FED chair is in if you wait till September, particularly 94 00:05:09,560 --> 00:05:13,800 Speaker 1: given the markets positive reaction over the last several days 95 00:05:14,000 --> 00:05:17,520 Speaker 1: UM and what we think could be positive news coming 96 00:05:17,520 --> 00:05:19,920 Speaker 1: out of G twenty UH in the next week and 97 00:05:19,960 --> 00:05:23,720 Speaker 1: a half or so UM, the asset markets are perhaps 98 00:05:23,839 --> 00:05:26,440 Speaker 1: giving the Fed the time to wait. And if you 99 00:05:26,480 --> 00:05:29,000 Speaker 1: think about it again, from this challenge of the tight 100 00:05:29,080 --> 00:05:35,440 Speaker 1: necktie with regard to political independence, waiting past July sends 101 00:05:35,440 --> 00:05:38,880 Speaker 1: a message that the FED is independent of of the 102 00:05:38,920 --> 00:05:43,400 Speaker 1: White House number one, and importantly actually is independent of 103 00:05:43,440 --> 00:05:45,800 Speaker 1: what the market is trying to force them to do 104 00:05:46,279 --> 00:05:49,160 Speaker 1: with the knowledge that you could still go in September 105 00:05:49,279 --> 00:05:52,240 Speaker 1: and continue apace. So there are many people who say 106 00:05:52,279 --> 00:05:54,360 Speaker 1: that if we don't get a rate cut now in July, 107 00:05:54,520 --> 00:05:57,160 Speaker 1: because it is so highly expected that we are going 108 00:05:57,200 --> 00:05:59,919 Speaker 1: to see pretty much a fit from the market. Well, 109 00:06:00,320 --> 00:06:02,359 Speaker 1: your guys, price target, I know for your end is 110 00:06:02,360 --> 00:06:05,080 Speaker 1: still around three thousand. How is it that you guys 111 00:06:05,080 --> 00:06:08,480 Speaker 1: see the potential for the FED to not cut in July. 112 00:06:08,760 --> 00:06:11,880 Speaker 1: But stocks are really still hang in there and potentially 113 00:06:11,880 --> 00:06:15,000 Speaker 1: moved much higher. Well, you know, setting a new all 114 00:06:15,040 --> 00:06:17,480 Speaker 1: time high uh this week at least on an intra 115 00:06:17,600 --> 00:06:20,919 Speaker 1: day basis, as we have, um, we're pretty darned close 116 00:06:20,960 --> 00:06:24,679 Speaker 1: to that three uh So, you know, happily so of course, 117 00:06:25,320 --> 00:06:28,880 Speaker 1: But in that respect, it really is a case of 118 00:06:29,400 --> 00:06:33,359 Speaker 1: you know, whether you measure it in terms of financial conditions. 119 00:06:33,360 --> 00:06:37,000 Speaker 1: In the Bloomberg Financial Conditions Index is really a very 120 00:06:37,080 --> 00:06:41,200 Speaker 1: valuable tool, and that is reasonably loose compared to the 121 00:06:41,279 --> 00:06:43,839 Speaker 1: last year and a half or so. UM, the FED 122 00:06:43,960 --> 00:06:47,559 Speaker 1: actually has the leeway and if the market walks back 123 00:06:48,200 --> 00:06:51,840 Speaker 1: its own expectations, particularly if you get good news from 124 00:06:51,839 --> 00:06:55,440 Speaker 1: Trump and G And remember we've also got earning season 125 00:06:56,320 --> 00:06:59,240 Speaker 1: reporting starting in the middle of July, which tends to 126 00:06:59,240 --> 00:07:02,760 Speaker 1: be a tale when for stocks in general you still 127 00:07:02,800 --> 00:07:05,440 Speaker 1: get the three thousand. Now, what does good news at 128 00:07:05,440 --> 00:07:08,240 Speaker 1: the G twenty look like? Is it a handshake and 129 00:07:08,640 --> 00:07:11,840 Speaker 1: a letter to keep talking? Uh? Is it? I mean 130 00:07:11,840 --> 00:07:16,440 Speaker 1: obviously they're not gonna presumably have a deal signed, sealed 131 00:07:16,440 --> 00:07:18,960 Speaker 1: and delivered between the US and China. There what what 132 00:07:18,960 --> 00:07:21,280 Speaker 1: would sort of you know, define good news to you 133 00:07:21,320 --> 00:07:24,760 Speaker 1: at the well? I think it smiles after the steak dinner, 134 00:07:24,840 --> 00:07:28,840 Speaker 1: red wine for G and the diet coke for President Trumps, 135 00:07:28,920 --> 00:07:31,720 Speaker 1: as appears to be the case. But for US, if 136 00:07:31,760 --> 00:07:34,559 Speaker 1: you look at financial markets over the last several years, 137 00:07:34,640 --> 00:07:39,640 Speaker 1: whatever the quandary has been, bregsit, debt, ceiling, China, whatever 138 00:07:39,680 --> 00:07:42,760 Speaker 1: it is, if you're able to successfully call it, kick 139 00:07:42,920 --> 00:07:46,600 Speaker 1: the can down the road and leave markets optimistic that 140 00:07:46,680 --> 00:07:49,960 Speaker 1: you're gonna get an eventual the solution to whatever it is, 141 00:07:50,320 --> 00:07:52,720 Speaker 1: that's gonna be enough. And we think that's the case here, 142 00:07:53,000 --> 00:07:56,520 Speaker 1: particularly since in the last forty eight hours it's very 143 00:07:56,520 --> 00:07:59,520 Speaker 1: clear that North Korea is on the table as well 144 00:08:00,000 --> 00:08:03,080 Speaker 1: when it comes to a trade deal versus a FED cut, 145 00:08:03,200 --> 00:08:06,720 Speaker 1: So you can only get one or another, which is 146 00:08:06,720 --> 00:08:09,360 Speaker 1: actually more valuable for the stock market. I mean, in 147 00:08:09,400 --> 00:08:12,000 Speaker 1: a way, can you make the case that maybe a 148 00:08:12,080 --> 00:08:14,520 Speaker 1: deal of the G twenty or really a positive outcome 149 00:08:14,560 --> 00:08:17,920 Speaker 1: there isn't the greatest outcome because then maybe the FED 150 00:08:18,000 --> 00:08:21,520 Speaker 1: takes that away and they start to see economic data turnaround, 151 00:08:21,800 --> 00:08:24,560 Speaker 1: really start to tighten up, toughen up, and the FED 152 00:08:24,640 --> 00:08:26,800 Speaker 1: decides that they're not going to cut the data doesn't 153 00:08:26,800 --> 00:08:30,480 Speaker 1: imply it well. So we give Chairman Pal a lot 154 00:08:30,520 --> 00:08:33,040 Speaker 1: of credit for pivoting as quickly as he did in 155 00:08:33,120 --> 00:08:38,280 Speaker 1: January from cut from tightening to neutral. But the way 156 00:08:38,320 --> 00:08:41,760 Speaker 1: this week is sorted itself out, we are in easing mode, 157 00:08:41,800 --> 00:08:45,199 Speaker 1: whether we actually get the cuts where they're delayed, and 158 00:08:45,320 --> 00:08:48,200 Speaker 1: so you know, we don't expect a repivot back to 159 00:08:48,280 --> 00:08:52,360 Speaker 1: neutral or tightening in that respect. The trade deal is 160 00:08:52,480 --> 00:08:55,040 Speaker 1: really very important because if you look at the last 161 00:08:55,120 --> 00:08:58,520 Speaker 1: year and the cause of the Fed's concerned, it's been 162 00:08:58,559 --> 00:09:01,240 Speaker 1: inflation being too low. And one of the mistakes the 163 00:09:01,280 --> 00:09:04,080 Speaker 1: FED made last year in tightening what we think they 164 00:09:04,200 --> 00:09:08,199 Speaker 1: overtightened and shouldn't have tightened in December, was in assuming 165 00:09:08,480 --> 00:09:11,480 Speaker 1: that a trade war was going to be inflationary, and 166 00:09:11,520 --> 00:09:16,040 Speaker 1: in fact it's proven to be disinflationary by by leaps 167 00:09:16,040 --> 00:09:19,439 Speaker 1: and bounds. Now, Julian, your business card says chief Equity 168 00:09:19,440 --> 00:09:21,360 Speaker 1: and Derivative Strategists. So I want to I want to 169 00:09:21,360 --> 00:09:23,199 Speaker 1: ask you about the derivatives end a little bit. You know, 170 00:09:23,200 --> 00:09:26,480 Speaker 1: I've noticed the VIX has sort of flattened out here 171 00:09:26,480 --> 00:09:29,800 Speaker 1: at about fifteen or so during June. We're not getting 172 00:09:29,840 --> 00:09:33,679 Speaker 1: back to those single digit readings on implied volatility as 173 00:09:33,679 --> 00:09:37,000 Speaker 1: far as the VIX goes, Um, is there any information 174 00:09:37,200 --> 00:09:39,120 Speaker 1: in that to you? I mean, is it just sort 175 00:09:39,120 --> 00:09:43,800 Speaker 1: of uh embedded nervousness until all these issues are resolved, 176 00:09:44,120 --> 00:09:46,439 Speaker 1: or or what I mean, are those days of single 177 00:09:46,480 --> 00:09:50,400 Speaker 1: digit VIX just just gone forever gone, forget about them. 178 00:09:50,440 --> 00:09:53,720 Speaker 1: That we traded below nine at the end of two 179 00:09:53,760 --> 00:09:57,000 Speaker 1: thousand and seventeen and and when we began our coverage 180 00:09:57,000 --> 00:09:59,600 Speaker 1: would be t i G in January of eighteen, we 181 00:09:59,760 --> 00:10:02,640 Speaker 1: may the point that that was a turning point in 182 00:10:02,800 --> 00:10:06,600 Speaker 1: what we saw as a six year cyclical regime change 183 00:10:06,760 --> 00:10:10,080 Speaker 1: in volatility. And so obviously the spikes that we saw 184 00:10:10,200 --> 00:10:14,000 Speaker 1: throughout two thousand and eighteen and then again in uh 185 00:10:14,120 --> 00:10:19,199 Speaker 1: in early this year. UM to us makes sense. They're logical, 186 00:10:19,240 --> 00:10:21,240 Speaker 1: and when you think about it with respect to the 187 00:10:21,240 --> 00:10:25,720 Speaker 1: political risks that are building as the world really redraws 188 00:10:25,760 --> 00:10:28,760 Speaker 1: itself in terms of trade and relationships and so on, 189 00:10:29,120 --> 00:10:31,280 Speaker 1: it makes a lot of sense. And what it also 190 00:10:31,320 --> 00:10:36,280 Speaker 1: tells you, it's a reminder that while things seem good now, 191 00:10:36,440 --> 00:10:39,640 Speaker 1: and and we do think that there is enough good 192 00:10:39,640 --> 00:10:42,840 Speaker 1: news out there to potentially take carry markets perhaps even 193 00:10:42,880 --> 00:10:45,760 Speaker 1: beyond three thousand, we're still going to have to deal 194 00:10:45,880 --> 00:10:48,360 Speaker 1: with the debt ceiling and a budget battle in the fall, 195 00:10:48,760 --> 00:10:52,360 Speaker 1: and Brexit. The thing, the gift that keeps on giving 196 00:10:53,520 --> 00:10:57,680 Speaker 1: is going to be there waiting for Halloween exactly. What 197 00:10:57,760 --> 00:11:00,680 Speaker 1: about the divergence that we've seen though between volatility in 198 00:11:00,679 --> 00:11:03,360 Speaker 1: the bond market and volatility in the stock market, because 199 00:11:03,400 --> 00:11:06,160 Speaker 1: I know, if you use the move Index from Bank 200 00:11:06,160 --> 00:11:09,479 Speaker 1: of America as a sort of benchmark for bond market volatility, 201 00:11:09,520 --> 00:11:11,800 Speaker 1: we have seen such a spike in recent weeks, and 202 00:11:11,840 --> 00:11:13,720 Speaker 1: now we have the ten year dipping below two percent 203 00:11:13,840 --> 00:11:16,559 Speaker 1: for the first time in yet the VIX is still 204 00:11:16,679 --> 00:11:19,560 Speaker 1: very muted. I mean, do you make the case that 205 00:11:19,720 --> 00:11:22,080 Speaker 1: we will have to see a convergence that two come together. 206 00:11:22,200 --> 00:11:25,280 Speaker 1: And if so, I mean, does the VIX move higher 207 00:11:25,400 --> 00:11:28,200 Speaker 1: or does bond volatility finally start to settle down a little. 208 00:11:28,559 --> 00:11:31,680 Speaker 1: We think there will be a convergence, probably in the 209 00:11:31,720 --> 00:11:34,760 Speaker 1: in the guys of bond market volatility coming in and 210 00:11:34,760 --> 00:11:39,120 Speaker 1: and the VIX rising um. Essentially, a lot of the 211 00:11:39,200 --> 00:11:42,280 Speaker 1: activity and financial markets over the last year has been 212 00:11:42,280 --> 00:11:45,000 Speaker 1: about positioning. So when we got to the end of 213 00:11:45,080 --> 00:11:50,199 Speaker 1: March and German yields first went back to the negative bound, 214 00:11:50,360 --> 00:11:53,320 Speaker 1: which you know, to all of US financial professionals with 215 00:11:53,360 --> 00:11:58,440 Speaker 1: any gray hair, is almost completely inconceivable, there was a 216 00:11:58,440 --> 00:12:02,200 Speaker 1: a an initial panic. But then in in April, as 217 00:12:02,280 --> 00:12:05,720 Speaker 1: markets sort of turned better and yield stabilized, there was 218 00:12:05,760 --> 00:12:08,280 Speaker 1: a thought that you wouldn't have the US ten uere 219 00:12:08,400 --> 00:12:11,560 Speaker 1: yield go back to two percent. Well, that sort of 220 00:12:11,600 --> 00:12:14,760 Speaker 1: went out the window of the last few weeks. I mean, honestly, 221 00:12:14,880 --> 00:12:18,079 Speaker 1: we didn't see yields plunging to this depth, but then 222 00:12:18,120 --> 00:12:20,800 Speaker 1: again we didn't see German yields trading to minus thirty 223 00:12:20,840 --> 00:12:24,280 Speaker 1: basis points, and that caused what we call in the 224 00:12:24,320 --> 00:12:29,160 Speaker 1: options market a short gamma squeeze. Basically people had been 225 00:12:29,200 --> 00:12:32,959 Speaker 1: selling sort of those downside strikes and and really short 226 00:12:33,040 --> 00:12:36,040 Speaker 1: exposure in that area, and once you got to around two, 227 00:12:37,400 --> 00:12:40,920 Speaker 1: the vall started to build. We think ultimately, in fact, 228 00:12:41,320 --> 00:12:44,960 Speaker 1: as the Fed UH loosens policy at the short end 229 00:12:45,360 --> 00:12:49,319 Speaker 1: builds inflation expectations, that you actually have a rise in 230 00:12:49,400 --> 00:12:53,080 Speaker 1: the long end i e. Is steepening yield curve. And 231 00:12:53,280 --> 00:12:56,400 Speaker 1: that's part of the happiness of the last several days 232 00:12:56,480 --> 00:12:59,960 Speaker 1: if you're j Powell, because inflation expectations were the first 233 00:13:00,080 --> 00:13:04,360 Speaker 1: thing to ratchet higher UH post the f o MC conference. Now, 234 00:13:04,400 --> 00:13:07,000 Speaker 1: given what you're expecting some good news at the G 235 00:13:07,160 --> 00:13:11,320 Speaker 1: twenty and eventual monetary easing later in the year. What 236 00:13:11,400 --> 00:13:14,160 Speaker 1: sort of sectors stocks would it be? Your your traditional 237 00:13:14,200 --> 00:13:18,760 Speaker 1: cyclical industrial semiconductors or you know, our tech columnists here, Shara, 238 00:13:18,840 --> 00:13:22,280 Speaker 1: should she uh start writing about utilities instead? What you know? 239 00:13:22,520 --> 00:13:28,200 Speaker 1: How how should we position? Yeah, it's having been doing 240 00:13:28,240 --> 00:13:30,880 Speaker 1: this for quite some time, I never thought I'd use 241 00:13:31,000 --> 00:13:35,600 Speaker 1: the phrase momentum Darling when referring to utilities. I mean, again, 242 00:13:35,679 --> 00:13:39,040 Speaker 1: going back to the nineties and and and trading technology 243 00:13:39,120 --> 00:13:42,439 Speaker 1: on the way up, it's absolutely extraordinary um from our 244 00:13:42,480 --> 00:13:45,000 Speaker 1: point of view, this is the part of the cycle, 245 00:13:45,080 --> 00:13:48,240 Speaker 1: particularly given our view that the yield curve is going 246 00:13:48,280 --> 00:13:50,960 Speaker 1: to steep in um that you want to lean a 247 00:13:51,040 --> 00:13:54,680 Speaker 1: bit more cyclically oriented, and that means financials which have 248 00:13:54,800 --> 00:13:58,000 Speaker 1: been suppressed because again German yields and the yield curve 249 00:13:58,040 --> 00:14:01,760 Speaker 1: being as flat as it's been. Also energy, obviously energy 250 00:14:02,000 --> 00:14:05,880 Speaker 1: is has a geopolitical backstop at this point given the 251 00:14:05,960 --> 00:14:09,120 Speaker 1: tension in Iran, but it's also sunk to less than 252 00:14:09,280 --> 00:14:12,840 Speaker 1: five percent of the way to the SMP. And we 253 00:14:12,920 --> 00:14:16,840 Speaker 1: are true believers in autonomous driving and electric vehicles and 254 00:14:16,880 --> 00:14:20,440 Speaker 1: all that, but energy is still a story that in 255 00:14:20,800 --> 00:14:23,880 Speaker 1: the medium term looks very interesting to us, and it's 256 00:14:23,880 --> 00:14:41,920 Speaker 1: a sector that's poise for consolidation. Cherre, I want to 257 00:14:41,960 --> 00:14:43,760 Speaker 1: come to you because we did have a new I 258 00:14:43,880 --> 00:14:46,360 Speaker 1: p O or direct listing as we could call it, 259 00:14:46,880 --> 00:14:49,240 Speaker 1: this week. But start a little broader on the tech front, 260 00:14:49,320 --> 00:14:53,760 Speaker 1: because software companies are just trading at such high valuations. 261 00:14:53,800 --> 00:14:56,400 Speaker 1: I know software is the best performing industry in the 262 00:14:56,560 --> 00:14:59,960 Speaker 1: SMP five hundred. What is it about this market right 263 00:15:00,080 --> 00:15:04,520 Speaker 1: now that is just making investors so interested in the 264 00:15:04,600 --> 00:15:09,640 Speaker 1: software space. I think it's a particular type of software 265 00:15:09,680 --> 00:15:12,320 Speaker 1: companies that investors are really excited about these sort of 266 00:15:12,360 --> 00:15:15,880 Speaker 1: software as a service or B two B software cloud 267 00:15:16,000 --> 00:15:18,880 Speaker 1: software companies, however you want to describe them. But these 268 00:15:18,880 --> 00:15:22,760 Speaker 1: are companies that investors have fallen in love with, kind 269 00:15:22,800 --> 00:15:25,880 Speaker 1: of to the point of mania. We're talking about companies 270 00:15:25,920 --> 00:15:31,479 Speaker 1: like Workday or Salesforce or Viva Systems, which makes pharmaceutical software. 271 00:15:31,760 --> 00:15:34,920 Speaker 1: And I think the appeal here is these companies sell 272 00:15:35,320 --> 00:15:39,400 Speaker 1: an understood product. They sell software for money to companies 273 00:15:39,560 --> 00:15:43,040 Speaker 1: that have money, and there's kind of a repeat business, right, 274 00:15:43,040 --> 00:15:46,600 Speaker 1: It's a subscription basis. You're the companies are paying you know, 275 00:15:46,680 --> 00:15:49,640 Speaker 1: monthly or on an annual basis, and it's sort of 276 00:15:49,760 --> 00:15:53,240 Speaker 1: fairly easy to model out what the revenue model and 277 00:15:53,320 --> 00:15:57,040 Speaker 1: what the financial model looks like long term once you 278 00:15:57,080 --> 00:16:01,800 Speaker 1: get companies paying kind of a recurring subs dryption for software. 279 00:16:01,800 --> 00:16:04,360 Speaker 1: And so what you've seen is these companies have, you know, 280 00:16:05,240 --> 00:16:07,080 Speaker 1: for the most part, do not have profits, but they 281 00:16:07,080 --> 00:16:09,800 Speaker 1: do have revenue and free cash flow in some cases 282 00:16:10,040 --> 00:16:13,000 Speaker 1: and are trading at very very high multiples to revenue. 283 00:16:13,040 --> 00:16:16,360 Speaker 1: In particular. Now, sure, let's uh, let's pretend I'm not 284 00:16:16,440 --> 00:16:19,280 Speaker 1: the young, hipster, tech savvy guy that I am, because 285 00:16:19,320 --> 00:16:21,080 Speaker 1: we all know you are. Just imagine I don't. I 286 00:16:21,080 --> 00:16:23,880 Speaker 1: don't know. I'm a middle aged dad talking about the 287 00:16:24,200 --> 00:16:33,720 Speaker 1: width of your necktime. Hypothetical hypothetical situation. Let's say hypothetically, 288 00:16:33,760 --> 00:16:36,320 Speaker 1: I've never heard of this Slack Technologies. I'm not quite 289 00:16:36,360 --> 00:16:38,480 Speaker 1: sure what they do, but I do know they lost 290 00:16:38,560 --> 00:16:41,120 Speaker 1: a hundred and thirty nine million dollars last year on 291 00:16:41,240 --> 00:16:44,600 Speaker 1: sales of about four hundred million. Just walk us through 292 00:16:45,200 --> 00:16:48,480 Speaker 1: what Slack is and why investors seem to be excited 293 00:16:48,520 --> 00:16:50,960 Speaker 1: to buy a company that's that's losing more than a 294 00:16:51,040 --> 00:16:53,280 Speaker 1: quarter of their sales. I will tell you that my 295 00:16:53,560 --> 00:16:56,320 Speaker 1: tech journalist brain is now broken. Where I see a 296 00:16:56,320 --> 00:16:59,200 Speaker 1: company that's like, oh, they're only bleeding a hundred million 297 00:16:59,240 --> 00:17:03,840 Speaker 1: dollars in cash everywhere, sounds great. Signed me up. So 298 00:17:04,560 --> 00:17:09,720 Speaker 1: the basic explanation of Slack is it's instant messaging designed 299 00:17:09,760 --> 00:17:13,600 Speaker 1: for the workplace, and I think that under sells it 300 00:17:13,640 --> 00:17:16,679 Speaker 1: a little bit. And Slack, I think has this issue 301 00:17:16,720 --> 00:17:19,360 Speaker 1: where it is a little bit difficult to describe their 302 00:17:19,400 --> 00:17:24,600 Speaker 1: software until you really use it. But again, it's instant messaging, 303 00:17:24,640 --> 00:17:28,600 Speaker 1: and the idea is it kind of collects, You're able 304 00:17:28,600 --> 00:17:33,239 Speaker 1: to kind of organize multiple people's in boxes essentially in 305 00:17:33,560 --> 00:17:38,240 Speaker 1: a semi public way that you can organize groups or teams, 306 00:17:38,720 --> 00:17:41,920 Speaker 1: and then everything that's related to let's say some marketing 307 00:17:41,960 --> 00:17:44,720 Speaker 1: project that a team is working on will go into 308 00:17:44,840 --> 00:17:48,040 Speaker 1: one channel, as Slack calls it, and only the people 309 00:17:48,080 --> 00:17:50,359 Speaker 1: who are on that channel need to see it. So 310 00:17:50,400 --> 00:17:53,520 Speaker 1: it avoids the sort of reply all pain that we 311 00:17:53,760 --> 00:17:57,119 Speaker 1: have sometimes felt inside of companies. And you know, it 312 00:17:57,160 --> 00:17:59,399 Speaker 1: also does a good job of kind of connecting to 313 00:17:59,440 --> 00:18:03,560 Speaker 1: others them. So I know companies, for example, that all 314 00:18:03,800 --> 00:18:06,840 Speaker 1: of the customer service requests or complaints, no matter what 315 00:18:06,960 --> 00:18:09,640 Speaker 1: channel it's coming from. If it's like an angry tweet 316 00:18:10,200 --> 00:18:13,240 Speaker 1: or an instant message that a customer might send through 317 00:18:13,600 --> 00:18:17,160 Speaker 1: a company's website, it all gets sent and and kind 318 00:18:17,160 --> 00:18:20,600 Speaker 1: of distributed through Slack, so that people on the East Coast, 319 00:18:20,720 --> 00:18:23,359 Speaker 1: let's say, we'll see all of the messages no matter 320 00:18:23,440 --> 00:18:27,000 Speaker 1: where it's coming from, customer service complaints from the coast 321 00:18:27,080 --> 00:18:30,080 Speaker 1: that they live on. So it is a clever piece 322 00:18:30,119 --> 00:18:32,600 Speaker 1: of software. I think there are open questions about whether 323 00:18:32,680 --> 00:18:35,399 Speaker 1: it is a kind of nice to have software for 324 00:18:35,440 --> 00:18:38,440 Speaker 1: companies or whether it becomes an essential tool inside of 325 00:18:38,440 --> 00:18:42,920 Speaker 1: a modern office. But definitely it's good software that now 326 00:18:43,160 --> 00:18:46,760 Speaker 1: investors are over the moon about and on that subscription basis. 327 00:18:46,760 --> 00:18:49,000 Speaker 1: On that subscription basis, yes, and they have they say 328 00:18:49,040 --> 00:18:51,040 Speaker 1: they have ten million people who use it on a 329 00:18:51,119 --> 00:18:55,320 Speaker 1: daily basis inside of organizations and something like six kind 330 00:18:55,320 --> 00:18:58,520 Speaker 1: of paying customers, paying organizations. How can you print out 331 00:18:58,560 --> 00:19:00,199 Speaker 1: all these chats and given them a guy like me 332 00:19:00,240 --> 00:19:05,359 Speaker 1: to interesting, I've never noticed. If they're there's probably a 333 00:19:05,400 --> 00:19:08,359 Speaker 1: print option. Um, do not do that. However, do not 334 00:19:08,440 --> 00:19:11,879 Speaker 1: print your slack chats. But so you talk about the 335 00:19:11,880 --> 00:19:15,800 Speaker 1: subscription model, but how are investors actually going about valuing 336 00:19:16,119 --> 00:19:19,040 Speaker 1: a company of this sort, especially if, like you said, 337 00:19:19,080 --> 00:19:21,160 Speaker 1: they are losing money like many of the other tech 338 00:19:21,200 --> 00:19:23,280 Speaker 1: ideas that we've seen lately. I mean, I think the 339 00:19:23,359 --> 00:19:26,760 Speaker 1: metrics that have become important are looking at sort of 340 00:19:26,800 --> 00:19:30,639 Speaker 1: recurring revenue sort of you know, how much money is 341 00:19:30,760 --> 00:19:34,000 Speaker 1: repeatable business, and also looking ahead at at billing so 342 00:19:34,080 --> 00:19:38,240 Speaker 1: basically booked business that is not yet paid. So really 343 00:19:38,280 --> 00:19:42,119 Speaker 1: growth and revenue and kind of retention rates of existing customers. 344 00:19:42,400 --> 00:19:44,520 Speaker 1: Those are the metrics that people look at in the 345 00:19:44,560 --> 00:19:49,320 Speaker 1: absence of you know, conventional gap profits. Another column you 346 00:19:49,320 --> 00:19:51,480 Speaker 1: had that caught my eye. The headline was something like 347 00:19:51,520 --> 00:19:55,320 Speaker 1: who knows what lurks in the emails of tech executives. 348 00:19:55,359 --> 00:19:58,800 Speaker 1: You know, obviously, with the anti trust scrutiny coming up 349 00:19:58,960 --> 00:20:03,320 Speaker 1: on Facebook, Amazon, Google, is this the right time for 350 00:20:03,400 --> 00:20:07,439 Speaker 1: Facebook to be trying to revolutionize the payments system with 351 00:20:07,480 --> 00:20:09,920 Speaker 1: its own cryptocurrency. You're saying this is not a time 352 00:20:10,160 --> 00:20:14,800 Speaker 1: they will want to attract more attention from regulators. Yeah, 353 00:20:14,800 --> 00:20:17,960 Speaker 1: fair enough. Look, I've heard Mark Zuckerberg say a few 354 00:20:18,000 --> 00:20:20,480 Speaker 1: times now in the last couple of years that they 355 00:20:20,600 --> 00:20:24,240 Speaker 1: can't stop running the company and they can't stop coming 356 00:20:24,240 --> 00:20:27,480 Speaker 1: out with new products and ideas because of the scrutiny 357 00:20:27,520 --> 00:20:31,240 Speaker 1: they're under, which I think is true and also not true. Right, 358 00:20:31,280 --> 00:20:33,800 Speaker 1: they obviously want to be a little bit more cautious 359 00:20:33,840 --> 00:20:36,040 Speaker 1: and careful than they would have been prior to two 360 00:20:36,080 --> 00:20:40,879 Speaker 1: thousands six or but they you know, you've got to 361 00:20:40,960 --> 00:20:43,639 Speaker 1: keep innovating. That's the role of a tech company. Julian, 362 00:20:43,760 --> 00:20:46,480 Speaker 1: How do you think about this regulatory risk with a 363 00:20:46,520 --> 00:20:48,919 Speaker 1: group as important as the Fang stocks? I mean, is 364 00:20:48,960 --> 00:20:51,760 Speaker 1: it make you sort of want to look elsewhere in 365 00:20:51,800 --> 00:20:53,879 Speaker 1: the market or these still going to be the stocks 366 00:20:53,920 --> 00:20:56,960 Speaker 1: that that lead us highre Well, when we're looking at 367 00:20:57,040 --> 00:20:59,920 Speaker 1: over the balance of this year and into an election 368 00:21:00,080 --> 00:21:03,679 Speaker 1: year next year. Uh, we're neutral on the group, but 369 00:21:04,320 --> 00:21:07,000 Speaker 1: you know, if you look at the last ten twenty 370 00:21:07,200 --> 00:21:11,879 Speaker 1: thirty years, it's very clear the technology is the bowl market. 371 00:21:12,080 --> 00:21:14,200 Speaker 1: You you you know, we've done a lot of work 372 00:21:14,240 --> 00:21:18,640 Speaker 1: that says markets can continue to go up, but technology 373 00:21:18,720 --> 00:21:22,560 Speaker 1: can only underperformed by a certain amount. So from our 374 00:21:22,600 --> 00:21:24,919 Speaker 1: point of view, it's something we'd like to see it 375 00:21:25,040 --> 00:21:29,000 Speaker 1: get further along in the election cycle. UM valuations are 376 00:21:29,160 --> 00:21:33,119 Speaker 1: reasonable broadly, and I would say, you know, again, when 377 00:21:33,160 --> 00:21:36,920 Speaker 1: you're thinking about software in particular, it's that that phrase 378 00:21:37,320 --> 00:21:41,080 Speaker 1: recurring revenue that is literally music to the streets ears 379 00:21:41,280 --> 00:21:42,960 Speaker 1: And if you think about it like we do from 380 00:21:42,960 --> 00:21:46,960 Speaker 1: an options perspective, if you have a company with recurring revenue, 381 00:21:47,320 --> 00:21:51,560 Speaker 1: you can actually there's like less volatility to its streams, 382 00:21:51,680 --> 00:21:55,040 Speaker 1: so you can in fact pay more for that company. 383 00:21:55,240 --> 00:21:57,639 Speaker 1: What about the I P O market this year? I know, 384 00:21:57,680 --> 00:21:59,520 Speaker 1: if you look at the I P O E T 385 00:21:59,760 --> 00:22:02,200 Speaker 1: F it's having its best first half of the year 386 00:22:02,240 --> 00:22:06,080 Speaker 1: pretty much. Ever, so is this something that you guys 387 00:22:06,119 --> 00:22:09,240 Speaker 1: actually think about participating in or is it just very 388 00:22:09,320 --> 00:22:11,639 Speaker 1: risky and you need to wait until things kind of 389 00:22:11,840 --> 00:22:14,560 Speaker 1: die down? A little well, B T I. G. S. 390 00:22:14,600 --> 00:22:18,280 Speaker 1: Capital Markets at desk has been very, very busy, which 391 00:22:18,320 --> 00:22:21,880 Speaker 1: is a great thing. And and you know, we look 392 00:22:21,920 --> 00:22:24,880 Speaker 1: at that to try and gauge signs of of froth. 393 00:22:25,280 --> 00:22:29,960 Speaker 1: We're nowhere near the excesses that we saw in and 394 00:22:30,040 --> 00:22:32,439 Speaker 1: two thousands. And if you think about it, part of 395 00:22:32,480 --> 00:22:35,240 Speaker 1: the reason that the optics of it over the last 396 00:22:35,280 --> 00:22:38,760 Speaker 1: several months have been as busy as they've been is 397 00:22:38,800 --> 00:22:41,119 Speaker 1: because you actually had a delay for the first several 398 00:22:41,160 --> 00:22:43,600 Speaker 1: months of the year and getting the paperwork through because 399 00:22:43,640 --> 00:22:46,280 Speaker 1: of the government shutdown. So it will be interesting to 400 00:22:46,320 --> 00:22:49,080 Speaker 1: see as we get into the heart of the summer 401 00:22:49,520 --> 00:22:51,960 Speaker 1: whether there's going to be a slowdown or not that 402 00:22:51,960 --> 00:22:55,000 Speaker 1: that that will be an important sign slowdown in issuance 403 00:22:55,119 --> 00:22:59,199 Speaker 1: or slowdown into the price appreciation slowdown in issuance. And 404 00:22:59,240 --> 00:23:01,119 Speaker 1: if you look at it in terms of the price, 405 00:23:01,400 --> 00:23:05,600 Speaker 1: there have been winners and losers. It's not all straight winners. Um, 406 00:23:05,800 --> 00:23:08,800 Speaker 1: you know, it's uh and and and they differentiated. And 407 00:23:09,040 --> 00:23:15,719 Speaker 1: it isn't necessarily technology only that's captured people's imaginations. Well, sorry, 408 00:23:15,880 --> 00:23:18,160 Speaker 1: I'm looking at your stop what Sarah keeps a stopwatch 409 00:23:18,400 --> 00:23:23,240 Speaker 1: running very intimidating a little bit that we don't go 410 00:23:23,320 --> 00:23:27,120 Speaker 1: on for too long, but that's our que to get 411 00:23:27,160 --> 00:23:29,720 Speaker 1: to the really the most important part of the podcast, 412 00:23:29,760 --> 00:23:33,000 Speaker 1: which is the craziest thing I've seen in markets ever, 413 00:23:33,800 --> 00:23:36,320 Speaker 1: or at least this week, Prince Jasons. We really haven't 414 00:23:36,320 --> 00:23:38,840 Speaker 1: finalized that title of it yet, Julian. Did they warny 415 00:23:38,920 --> 00:23:45,359 Speaker 1: about this about this sec They absolutely did. We try 416 00:23:45,440 --> 00:23:48,320 Speaker 1: We try so, so from our point of view, this 417 00:23:48,359 --> 00:23:52,600 Speaker 1: week has been a great example of artificial intelligence run wild. 418 00:23:53,080 --> 00:23:55,359 Speaker 1: And as you know, part of the reason that you 419 00:23:55,440 --> 00:23:58,080 Speaker 1: brought me here to join you it was is to 420 00:23:58,119 --> 00:24:01,600 Speaker 1: talk about the fed an interest greats very important in 421 00:24:01,680 --> 00:24:04,960 Speaker 1: terms of thinking about stock prices. Well, what we noticed 422 00:24:05,480 --> 00:24:10,080 Speaker 1: was if you did a search for stories with the 423 00:24:10,160 --> 00:24:14,879 Speaker 1: keyword yield curve into and through the f o m 424 00:24:14,920 --> 00:24:18,359 Speaker 1: C press conference this week, we saw a massive spike 425 00:24:18,760 --> 00:24:21,600 Speaker 1: in that story count, and from our point of view, 426 00:24:21,920 --> 00:24:25,639 Speaker 1: it really is a big justification for why the yield 427 00:24:25,680 --> 00:24:28,760 Speaker 1: curve steep and nine basis points that may not sound 428 00:24:28,840 --> 00:24:31,280 Speaker 1: like a lot, but on something that was trading at 429 00:24:31,359 --> 00:24:34,040 Speaker 1: nineteen to go from nineteen to twenty eight, that's a 430 00:24:34,160 --> 00:24:37,280 Speaker 1: huge move. So we don't know whether it was, you know, 431 00:24:37,520 --> 00:24:41,560 Speaker 1: revenge of the nerds or return of the bond vigilantes. 432 00:24:41,920 --> 00:24:44,560 Speaker 1: But we do know it's a big deal. Sorry, it's 433 00:24:44,600 --> 00:24:47,080 Speaker 1: it's illuminating how guys on the street use our work 434 00:24:47,080 --> 00:24:49,680 Speaker 1: product here we think they're they're they're reading our stores 435 00:24:49,800 --> 00:24:58,680 Speaker 1: and you're really getting to the bottom. It's we start 436 00:24:58,760 --> 00:25:00,439 Speaker 1: messing with it. I'm just gonna write as that just 437 00:25:00,480 --> 00:25:04,800 Speaker 1: goes you have really mess with you. I'm not really 438 00:25:04,840 --> 00:25:07,720 Speaker 1: gonna do that, Sarah. Have you seen any crazy market 439 00:25:07,960 --> 00:25:10,359 Speaker 1: things this week? So something I thought was interesting was 440 00:25:10,600 --> 00:25:14,960 Speaker 1: in the aftermath of the Jerome pal pressor, we saw 441 00:25:15,480 --> 00:25:18,680 Speaker 1: stocks rally, we saw bonds rally, we saw gold's rally, 442 00:25:18,880 --> 00:25:21,359 Speaker 1: and we saw oil rally altogether, and I thought it 443 00:25:21,400 --> 00:25:24,600 Speaker 1: was kind of funny. Macro risk advisors called it as 444 00:25:25,200 --> 00:25:28,840 Speaker 1: cats and dogs playing together, basically because on the one end, 445 00:25:28,880 --> 00:25:31,720 Speaker 1: you think of bonds and gold being the safe havens, 446 00:25:31,760 --> 00:25:34,760 Speaker 1: and then you think of stocks and oil being risk assets. 447 00:25:34,800 --> 00:25:38,040 Speaker 1: But the reality is that now we have low interest rates, 448 00:25:38,080 --> 00:25:41,600 Speaker 1: we also see the dollar falling at last um, so 449 00:25:41,640 --> 00:25:44,280 Speaker 1: we're just seeing pretty much a bid to everything, which 450 00:25:44,320 --> 00:25:46,800 Speaker 1: is I thought it was pretty pretty crazy. Everything that's 451 00:25:46,800 --> 00:25:48,600 Speaker 1: an old Steve Martin reference, isn't that? The cats and 452 00:25:48,640 --> 00:25:52,800 Speaker 1: dogs living together. Sure have we warned you about this 453 00:25:52,840 --> 00:25:55,359 Speaker 1: gimmick we have here? You did? I may I may 454 00:25:55,400 --> 00:25:58,359 Speaker 1: have done it wrong. However, so I read there was 455 00:25:58,400 --> 00:26:01,320 Speaker 1: a story in the woll Street Journal this week about Venezuela, 456 00:26:01,760 --> 00:26:06,240 Speaker 1: the Venezuelan Central Bank basically smuggling seven or eight tons 457 00:26:06,280 --> 00:26:10,280 Speaker 1: of gold to be melted down in Uganda and then 458 00:26:10,600 --> 00:26:15,120 Speaker 1: resold secretly in the Middle East. Which is I mean, 459 00:26:15,119 --> 00:26:18,800 Speaker 1: it's it's it hasn't everything right, It's got just imagining 460 00:26:19,520 --> 00:26:24,280 Speaker 1: eight tons of gold on these Russian cargo planes being 461 00:26:24,320 --> 00:26:26,439 Speaker 1: flown to Uganda in the middle of the night and 462 00:26:26,440 --> 00:26:31,200 Speaker 1: then being trucked to some refinery and melted down. So 463 00:26:31,359 --> 00:26:34,679 Speaker 1: they concluded that it was that's what the Ugandan authorities 464 00:26:34,720 --> 00:26:36,919 Speaker 1: said that they believe that is what happened. That's a 465 00:26:36,960 --> 00:26:41,320 Speaker 1: way of Venezuela basically getting cash by going around US sanctions. 466 00:26:41,680 --> 00:26:44,120 Speaker 1: Didn't someone tell them they were probably better off trying 467 00:26:44,160 --> 00:26:48,480 Speaker 1: to smuggle in et F much less and then you 468 00:26:48,520 --> 00:26:50,560 Speaker 1: redeem it afterwards and they have to find the vault 469 00:26:50,560 --> 00:26:52,520 Speaker 1: where your gold is. At least suggest that to the 470 00:26:52,560 --> 00:26:56,880 Speaker 1: Maduro government. All right, well, mine, I'm stretching the definition 471 00:26:56,920 --> 00:26:59,040 Speaker 1: of markets here a little bit which I've got to do. 472 00:26:59,119 --> 00:27:03,840 Speaker 1: You go to our are you jewelry? This week? I'm going, yeah, 473 00:27:03,840 --> 00:27:06,520 Speaker 1: that was you. This week, I'm going to the gambling market. 474 00:27:06,560 --> 00:27:09,359 Speaker 1: That's a real market. Julian, right, absolutely, sports, it's legal 475 00:27:09,359 --> 00:27:12,400 Speaker 1: now sports spouting in Jersey. I can't believe. I still 476 00:27:12,400 --> 00:27:15,800 Speaker 1: can't believe it when I read this, but so I'll 477 00:27:15,840 --> 00:27:17,720 Speaker 1: just read the story. The lead of the story here 478 00:27:17,760 --> 00:27:22,600 Speaker 1: from Evan Novie Williams here at Bloomberg. National Basketball Association 479 00:27:22,600 --> 00:27:24,800 Speaker 1: has come up with a way for fans to gamble 480 00:27:24,920 --> 00:27:28,159 Speaker 1: real money on fake games. Have you guys seen this story? 481 00:27:28,320 --> 00:27:32,200 Speaker 1: So what happens is they basically spliced together a bunch 482 00:27:32,240 --> 00:27:35,720 Speaker 1: of clips from different basketball games and create a fake 483 00:27:35,760 --> 00:27:38,080 Speaker 1: game out of it. I'll read you the sort of 484 00:27:38,080 --> 00:27:40,679 Speaker 1: the nutcraft here. Vetters will be dropped into the final 485 00:27:40,800 --> 00:27:44,120 Speaker 1: nineties seconds of a virtual matchup between two NBA teams. 486 00:27:44,480 --> 00:27:47,560 Speaker 1: The game will then splice together random possessions from various 487 00:27:47,640 --> 00:27:50,320 Speaker 1: nets Lakers games. In reason, do we not have enough 488 00:27:50,359 --> 00:27:53,639 Speaker 1: things to gamble on? Julian to my avatar is backing 489 00:27:53,680 --> 00:27:57,359 Speaker 1: away from that very I'll tell you one thing, with 490 00:27:57,440 --> 00:27:59,880 Speaker 1: the exception of the last several weeks, you don't want 491 00:28:00,040 --> 00:28:05,439 Speaker 1: bet against Steph Curry. The editors of that. Whatever they 492 00:28:05,440 --> 00:28:07,639 Speaker 1: are doing is placing together different possessions, they've got to 493 00:28:07,640 --> 00:28:10,800 Speaker 1: be talented mess them up. Yeah. Well, you know, I 494 00:28:10,800 --> 00:28:12,800 Speaker 1: think it's kind of done randomly. It almost sounds like 495 00:28:12,880 --> 00:28:16,840 Speaker 1: it's just a computer program that takes various possessions artificial intelligence. 496 00:28:16,920 --> 00:28:18,960 Speaker 1: I don't know. We'll find something better to gamble on 497 00:28:19,040 --> 00:28:22,080 Speaker 1: than that. That's pretty crazy. I'll give it you absolutely. 498 00:28:23,280 --> 00:28:26,600 Speaker 1: But with that said, Julian Emmanuel Sierra Obi Day, thanks 499 00:28:26,600 --> 00:28:35,760 Speaker 1: so much for joining us today. Thank you, Thanks what 500 00:28:35,920 --> 00:28:38,560 Speaker 1: those out will be back next week. Until then, you 501 00:28:38,600 --> 00:28:41,200 Speaker 1: can find us on the Bloomberg Terminal, website and app 502 00:28:41,520 --> 00:28:44,200 Speaker 1: or wherever you get your podcasts. We love it if 503 00:28:44,240 --> 00:28:46,280 Speaker 1: you took the time to rate interview the show on 504 00:28:46,360 --> 00:28:50,160 Speaker 1: Apple Podcasts so more listeners can find us, and you 505 00:28:50,160 --> 00:28:53,760 Speaker 1: can find us on Twitter. Follow me at at Sarah Pontzack, 506 00:28:54,200 --> 00:28:57,480 Speaker 1: Mike is at reag Anonymous. Our guest, Sierra Obi Day 507 00:28:57,520 --> 00:29:00,600 Speaker 1: is at Shira ob Day, and Bloomberg pot Cast is 508 00:29:00,680 --> 00:29:04,240 Speaker 1: at Podcasts. What Goes Up is produced by sober Forehead. 509 00:29:04,400 --> 00:29:07,680 Speaker 1: The head of bloomber podcast is Francesco Levie. Thanks for listening. 510 00:29:07,840 --> 00:29:08,680 Speaker 1: See you next time,