1 00:00:12,800 --> 00:00:16,200 Speaker 1: Hello, and welcome to What Goes Up, a Bloomberg Weekly 2 00:00:16,239 --> 00:00:19,800 Speaker 1: Markets podcast. I'm Sarah Plantzek, a reporter on the Cross 3 00:00:19,800 --> 00:00:23,240 Speaker 1: Asset team, and I'm Mike Reagan, a senior editor at 4 00:00:23,239 --> 00:00:27,400 Speaker 1: Bloomberg and Sarah's official wingman, official wing man. I like that, Micha, 5 00:00:27,400 --> 00:00:32,320 Speaker 1: Well we'll go with that. Yeah, new wingman, this wall. Anyways, 6 00:00:32,479 --> 00:00:36,400 Speaker 1: this week on the show, our hopes running high. On Monday, 7 00:00:36,560 --> 00:00:40,280 Speaker 1: news of a promising vaccine trial sent risk asset soaring. 8 00:00:40,360 --> 00:00:43,920 Speaker 1: But by Tuesday there were already critical reports of the progress, 9 00:00:43,920 --> 00:00:47,159 Speaker 1: and we saw some of the optimism reverse as states 10 00:00:47,159 --> 00:00:50,400 Speaker 1: and countries reopen. Everyone is, of course hoping for the best. 11 00:00:50,800 --> 00:00:55,880 Speaker 1: But what should be expected a reality? The eternal question, Sarah, 12 00:00:55,880 --> 00:01:00,240 Speaker 1: what should be expected of reality? Before I do so, 13 00:01:00,240 --> 00:01:03,360 Speaker 1: our guest, I understand you have a special announcement to make. 14 00:01:03,880 --> 00:01:07,319 Speaker 1: I do have a very special announcement to make, and 15 00:01:07,319 --> 00:01:10,080 Speaker 1: I must say that this is the first on the podcast, 16 00:01:10,160 --> 00:01:13,800 Speaker 1: but we have to give a very special birthday shout 17 00:01:13,880 --> 00:01:17,039 Speaker 1: out to Michael Gross. So from Mike and I, my 18 00:01:17,080 --> 00:01:20,000 Speaker 1: wingman and me, we both have that you have a 19 00:01:20,040 --> 00:01:23,280 Speaker 1: wonderful Birthday weekend, a great Memorial Day weekend. And I've 20 00:01:23,319 --> 00:01:25,800 Speaker 1: also got to say that your fiance is a pretty awesome. 21 00:01:26,600 --> 00:01:29,679 Speaker 1: So the fiance tracked you down asking for a birthday 22 00:01:29,720 --> 00:01:32,200 Speaker 1: shout out. She did, she did, and I said, of 23 00:01:32,200 --> 00:01:34,720 Speaker 1: course I'll give him one. Of course that she's a 24 00:01:34,800 --> 00:01:39,000 Speaker 1: keeper there. Mr Michael Gross, wherever you are. I gotta say, 25 00:01:39,120 --> 00:01:41,240 Speaker 1: I don't think we should make it a tradition to 26 00:01:41,319 --> 00:01:44,319 Speaker 1: give too many birthday shout outs on the show. But 27 00:01:44,400 --> 00:01:48,600 Speaker 1: since you set the precedent, Sarah, I'm gonna give a 28 00:01:48,600 --> 00:01:53,200 Speaker 1: birthday shout out to two. A person who turned zero 29 00:01:53,360 --> 00:01:58,040 Speaker 1: years old on Thursday, May twenty one, Luisa May Baker, 30 00:01:58,280 --> 00:02:01,440 Speaker 1: the daughter of our colleague, one of my favorite Bloomberg people, 31 00:02:01,520 --> 00:02:06,800 Speaker 1: Nick Baker, born in Chicago, or at least the suburbs 32 00:02:06,800 --> 00:02:11,079 Speaker 1: of Chicago, on on Thursday. And I know this is 33 00:02:11,120 --> 00:02:13,480 Speaker 1: a crazy time to have a baby, and I know 34 00:02:13,520 --> 00:02:16,480 Speaker 1: there's a lot of stress. So welcome to the world, 35 00:02:16,639 --> 00:02:18,800 Speaker 1: Luisa May Baker. I hope your father gets you an 36 00:02:18,840 --> 00:02:23,320 Speaker 1: iPhone and Subscribe subscribes you to the podcast instantaneously as 37 00:02:23,360 --> 00:02:27,200 Speaker 1: soon as he turned up two weeks old. So weeks 38 00:02:27,200 --> 00:02:29,400 Speaker 1: that's about that. Yeah, that's about the comprehension level of 39 00:02:29,520 --> 00:02:33,959 Speaker 1: our So anyway, let's get to our guests. Very happy 40 00:02:34,040 --> 00:02:36,400 Speaker 1: to have her on the show. First time on the show. 41 00:02:36,880 --> 00:02:39,800 Speaker 1: She's also in Chicago. I'm looking at her on zoom. 42 00:02:39,800 --> 00:02:43,120 Speaker 1: Sarah the only guest we've had since February I think, 43 00:02:43,120 --> 00:02:46,800 Speaker 1: who's actually in an office and not in some basement somewhere. 44 00:02:46,880 --> 00:02:48,480 Speaker 1: So that's I don't know why, but that's kind of 45 00:02:48,480 --> 00:02:52,160 Speaker 1: exciting to me. So uh, welcome her to the show. 46 00:02:52,320 --> 00:02:56,120 Speaker 1: She's the head of US equities at Aviva Investors. Her 47 00:02:56,160 --> 00:02:58,320 Speaker 1: name is Susan Schmidt. Susan, glad to have you on 48 00:02:58,320 --> 00:03:01,200 Speaker 1: the show. Thank you, it's great to be here. Do 49 00:03:01,280 --> 00:03:04,120 Speaker 1: you have any birthday shoutouts you'd like to make, you know, 50 00:03:04,280 --> 00:03:06,480 Speaker 1: as long as we're going that route, I do. One 51 00:03:06,520 --> 00:03:09,280 Speaker 1: of the guys on my team has his birthday tomorrow, 52 00:03:09,440 --> 00:03:13,240 Speaker 1: so a birthday shout out to Nick Nikida's who handles 53 00:03:13,240 --> 00:03:16,280 Speaker 1: healthcare stacks for us. Well. I don't think anyone wants 54 00:03:16,320 --> 00:03:18,560 Speaker 1: to hear any of us as sing on this show, 55 00:03:18,680 --> 00:03:22,840 Speaker 1: especially not me, but happy birthday to everyone, right, Happy 56 00:03:22,840 --> 00:03:25,079 Speaker 1: birth day all, yes, save the singing that that would 57 00:03:25,120 --> 00:03:27,440 Speaker 1: not be a good thing here. Happy birthday around again. 58 00:03:27,520 --> 00:03:29,160 Speaker 1: This is I don't this is the end of the 59 00:03:29,200 --> 00:03:31,240 Speaker 1: birthday shout outs. Well, maybe we'll get a couple more, 60 00:03:31,320 --> 00:03:35,080 Speaker 1: you know. Alright, So so let's get serious here, And 61 00:03:35,520 --> 00:03:38,040 Speaker 1: in order to signal I'm getting serious, I'm gonna I'm 62 00:03:38,040 --> 00:03:42,240 Speaker 1: gonna do my best Jerry Seinfeld voice for the first question, 63 00:03:43,280 --> 00:03:46,160 Speaker 1: what's the deal with this stock market? I gotta say, 64 00:03:46,240 --> 00:03:50,040 Speaker 1: I mean, we're looking at the worst economic data of 65 00:03:50,080 --> 00:03:56,520 Speaker 1: our lifetimes. Countless bankruptcies, uh, jobless claims in the tens 66 00:03:56,520 --> 00:04:00,880 Speaker 1: of millions, up to almost forty million, I think, and counting. 67 00:04:02,320 --> 00:04:05,280 Speaker 1: What is how do you explain this resiliency in the 68 00:04:05,280 --> 00:04:09,440 Speaker 1: stock market. Well, let's tackle that in pieces. So the 69 00:04:09,480 --> 00:04:13,880 Speaker 1: economic data, yeah, it looks terrible, but it looks terrible 70 00:04:13,920 --> 00:04:17,160 Speaker 1: because we've basically condensed all of it, in all this 71 00:04:17,279 --> 00:04:20,960 Speaker 1: negative news and negative action into just a couple of months. 72 00:04:21,360 --> 00:04:23,880 Speaker 1: So we are going to look really bad in terms 73 00:04:23,960 --> 00:04:26,320 Speaker 1: of GDP, and we are going to look really bad 74 00:04:26,360 --> 00:04:29,479 Speaker 1: in terms of employment numbers because we basically asked the 75 00:04:29,520 --> 00:04:33,360 Speaker 1: economy to go on hold. So I'm really looking through 76 00:04:33,400 --> 00:04:35,880 Speaker 1: the economic data right now. I think the market is 77 00:04:35,880 --> 00:04:39,680 Speaker 1: certainly looking through it. We understand that, you know, jobless 78 00:04:39,720 --> 00:04:43,159 Speaker 1: claims came out in the millions. Again, if we'd had 79 00:04:43,200 --> 00:04:46,280 Speaker 1: that in a normal environment, yes, it would have caused 80 00:04:46,279 --> 00:04:50,159 Speaker 1: shock and and fear throughout the investment community. But it's 81 00:04:50,200 --> 00:04:53,719 Speaker 1: not a normal environment, and so we're seeing this large 82 00:04:53,800 --> 00:04:56,880 Speaker 1: number of unemployed. I think that's being taken as power 83 00:04:56,920 --> 00:04:59,719 Speaker 1: for the course right now. We understand that we have 84 00:05:00,000 --> 00:05:03,760 Speaker 1: ask businesses to close their doors, and that's what's happening 85 00:05:03,839 --> 00:05:06,240 Speaker 1: right now. So the economic data, I think is is 86 00:05:06,360 --> 00:05:08,480 Speaker 1: you got to take it with, you know, several pounds 87 00:05:08,520 --> 00:05:12,560 Speaker 1: of salt and recognize that it's abnormal. This is not 88 00:05:12,880 --> 00:05:15,840 Speaker 1: we're not normal times. This is certainly not normal data, 89 00:05:16,000 --> 00:05:18,760 Speaker 1: and the market is really looking past that. So taking 90 00:05:18,760 --> 00:05:21,320 Speaker 1: the data with, as you said, pounds of salt, not 91 00:05:21,400 --> 00:05:24,359 Speaker 1: even grains of salt. But going into this, a lot 92 00:05:24,400 --> 00:05:26,760 Speaker 1: of people were saying, Okay, watch the initial claims data, 93 00:05:26,880 --> 00:05:29,760 Speaker 1: and I feel like that's what people always say about 94 00:05:29,800 --> 00:05:32,600 Speaker 1: the economy. It's a leading indicator can probably tell you 95 00:05:32,800 --> 00:05:35,400 Speaker 1: where the economy is headed. Well, now we know that 96 00:05:35,480 --> 00:05:38,919 Speaker 1: week after we we continue to get claims data in 97 00:05:38,920 --> 00:05:42,360 Speaker 1: the millions. We know that it is bad. But to 98 00:05:42,600 --> 00:05:45,800 Speaker 1: gadge whether or not we are potentially seeing a bottom 99 00:05:45,839 --> 00:05:49,040 Speaker 1: at some point, what can you watch? There? Is there 100 00:05:49,080 --> 00:05:52,160 Speaker 1: anything you can I'm not sure there is anything that 101 00:05:52,240 --> 00:05:55,159 Speaker 1: you can because our standard metrics that we've used in 102 00:05:55,160 --> 00:05:57,640 Speaker 1: the past don't apply right now, so the claims data 103 00:05:57,720 --> 00:06:01,240 Speaker 1: can be really misleading. How do you aggregate the claims 104 00:06:01,320 --> 00:06:04,800 Speaker 1: data and then incorporate the p p P plan that 105 00:06:04,880 --> 00:06:07,640 Speaker 1: came out and so different employers are, you know, did 106 00:06:07,640 --> 00:06:09,520 Speaker 1: they get their p p P did they not? Are 107 00:06:09,560 --> 00:06:13,240 Speaker 1: they taking employees that were furloughed or fired? Are they 108 00:06:13,240 --> 00:06:16,080 Speaker 1: being able to bring them back on? So that data 109 00:06:16,279 --> 00:06:18,280 Speaker 1: is all different. We also had to change in our 110 00:06:18,360 --> 00:06:22,040 Speaker 1: unemployment benefits, so those that were fired that are collecting unemployment, 111 00:06:22,120 --> 00:06:25,560 Speaker 1: the cushion for them on unemployment might extend longer, when 112 00:06:25,600 --> 00:06:28,240 Speaker 1: they come back to work might change. So I think 113 00:06:28,760 --> 00:06:33,120 Speaker 1: our historic signposts of what we observed to say this 114 00:06:33,200 --> 00:06:35,400 Speaker 1: is the bottom we're coming out of it are no 115 00:06:35,480 --> 00:06:38,520 Speaker 1: longer applicable and we really have to look past them. 116 00:06:38,520 --> 00:06:40,400 Speaker 1: I think you have to be creative, and I think 117 00:06:40,440 --> 00:06:43,040 Speaker 1: it's more of a field thing than a numbers thing 118 00:06:43,160 --> 00:06:45,800 Speaker 1: right now to see when the economy is getting back 119 00:06:45,839 --> 00:06:48,800 Speaker 1: in its groove. But I think, as you said, you know, 120 00:06:48,839 --> 00:06:52,120 Speaker 1: the market sort of looking through the fog to the 121 00:06:52,160 --> 00:06:55,920 Speaker 1: recovery embedded in that is kind of a very optimistic 122 00:06:56,160 --> 00:06:59,880 Speaker 1: sense that it will be a short recovery. Uh. I 123 00:07:00,200 --> 00:07:02,880 Speaker 1: know we've all heard V shaped and YOU shaped and 124 00:07:03,080 --> 00:07:07,200 Speaker 1: L shaped. I feel like it's it's like Sesame Street. 125 00:07:07,240 --> 00:07:09,720 Speaker 1: You know, the the economy is sponsored by the letter 126 00:07:09,760 --> 00:07:13,400 Speaker 1: you this week or the letter L. I look, I'm 127 00:07:13,440 --> 00:07:16,920 Speaker 1: at heart, I'm an optimist. Um, I just can't see 128 00:07:17,000 --> 00:07:20,680 Speaker 1: a V shape recovery in this. Uh. Taking hold, I 129 00:07:20,680 --> 00:07:24,440 Speaker 1: I do not know what letter shape it will be. Um. 130 00:07:24,480 --> 00:07:26,200 Speaker 1: You know, as far as those jobs claims that there 131 00:07:26,280 --> 00:07:28,800 Speaker 1: was a story in the Times this week quoting a 132 00:07:28,880 --> 00:07:34,000 Speaker 1: Stanford economist and again with any prediction, any forecast, I agree. 133 00:07:34,000 --> 00:07:36,320 Speaker 1: I I take a pound of salt with it, like 134 00:07:36,360 --> 00:07:40,240 Speaker 1: my French fries. Uh Uh. But but you know, this 135 00:07:40,280 --> 00:07:43,679 Speaker 1: economist at Stanford is saying something like forty some percent 136 00:07:43,840 --> 00:07:47,480 Speaker 1: of these layoffs will be either permanent or you know, 137 00:07:47,800 --> 00:07:52,160 Speaker 1: somewhat permanent. I mean, even at that forty some percent, 138 00:07:52,200 --> 00:07:56,480 Speaker 1: I mean we're talking about a massive uh damage to 139 00:07:56,520 --> 00:08:00,560 Speaker 1: the economy. Um, even if it's a IT and and 140 00:08:00,600 --> 00:08:03,840 Speaker 1: we're looking at I don't know, eight eight million permanently 141 00:08:03,880 --> 00:08:09,000 Speaker 1: lost jobs. I mean that is a scary scenario. Um, 142 00:08:09,120 --> 00:08:13,160 Speaker 1: are we do for a letdown? In the stock market 143 00:08:13,280 --> 00:08:16,440 Speaker 1: as the sort of the summer progresses and the fog clears, 144 00:08:17,000 --> 00:08:19,920 Speaker 1: if not a major bear market, at least some some 145 00:08:19,960 --> 00:08:23,560 Speaker 1: more volatility. Well, I think volatility is going to be 146 00:08:23,600 --> 00:08:25,280 Speaker 1: the name of the game here for the next couple 147 00:08:25,360 --> 00:08:28,920 Speaker 1: of months. I think that actually increases. And you know, 148 00:08:29,080 --> 00:08:32,040 Speaker 1: we saw that big downturn in the market, you know, 149 00:08:32,360 --> 00:08:35,960 Speaker 1: mid first quarter, and that was I think a lot 150 00:08:36,000 --> 00:08:40,160 Speaker 1: of people looking very short term on how is this 151 00:08:40,440 --> 00:08:43,080 Speaker 1: COVID nineteam going to impact the economy, how is this 152 00:08:43,160 --> 00:08:46,040 Speaker 1: going to impact the workforce? They could only see four 153 00:08:46,080 --> 00:08:48,240 Speaker 1: to six weeks out. And I think what we see 154 00:08:48,280 --> 00:08:51,199 Speaker 1: now is the market saying, all right, I understand first quarter, 155 00:08:51,280 --> 00:08:54,720 Speaker 1: second quarter numbers are irrelevant. What really matters here is 156 00:08:55,120 --> 00:08:58,560 Speaker 1: give me one Let me hear from management teams who 157 00:08:58,600 --> 00:09:02,600 Speaker 1: fortunately we're talking and broadcasting because they were reporting earnings. 158 00:09:03,160 --> 00:09:05,480 Speaker 1: Let me hear from those management teams and how they 159 00:09:05,520 --> 00:09:07,480 Speaker 1: think they're going to get through this and can they 160 00:09:07,520 --> 00:09:10,800 Speaker 1: get to you know, how are they handling it all. 161 00:09:11,040 --> 00:09:13,240 Speaker 1: I think that's given the market a lot of confidence 162 00:09:13,280 --> 00:09:16,080 Speaker 1: and it's changed the investor's perspective. And so that's why 163 00:09:16,120 --> 00:09:19,560 Speaker 1: we've seen this look through now to where are we 164 00:09:19,640 --> 00:09:23,320 Speaker 1: as we go out six months, twelve months. There's no 165 00:09:23,520 --> 00:09:26,440 Speaker 1: question that we've got emotion in this market. And I 166 00:09:26,480 --> 00:09:29,400 Speaker 1: think you see a whipsa on now and for the 167 00:09:29,440 --> 00:09:32,600 Speaker 1: foreseeable future, a lot of back and forth, because, as 168 00:09:32,640 --> 00:09:37,160 Speaker 1: Sarah mentioned earlier, if there's talk of a vaccine, there's 169 00:09:37,280 --> 00:09:41,080 Speaker 1: great joy and you know, investment coming in new money. 170 00:09:41,160 --> 00:09:44,200 Speaker 1: Let's go to work. The market's back. If there's not 171 00:09:44,280 --> 00:09:47,160 Speaker 1: a vaccine, then it's a oh well, how long is 172 00:09:47,200 --> 00:09:48,920 Speaker 1: this going to take again? And we're back to talking 173 00:09:48,960 --> 00:09:51,199 Speaker 1: about letters. You know, I think the worst thing that 174 00:09:51,240 --> 00:09:54,280 Speaker 1: could happen is we get a w right return. That's 175 00:09:54,320 --> 00:09:56,600 Speaker 1: not what we want, and so we took a lot 176 00:09:56,640 --> 00:10:00,680 Speaker 1: of actions up front, hair to true really put the 177 00:10:00,720 --> 00:10:04,280 Speaker 1: economy on pause. We're now saying we'll slowly open the 178 00:10:04,280 --> 00:10:06,960 Speaker 1: gates back up and you can start moving again. And 179 00:10:07,000 --> 00:10:10,120 Speaker 1: I think it's that gradual return that people are going 180 00:10:10,120 --> 00:10:12,800 Speaker 1: to be tracking, and it is going to be influenced 181 00:10:12,800 --> 00:10:17,040 Speaker 1: by what people see. So management teams who are talking 182 00:10:17,040 --> 00:10:21,160 Speaker 1: about earnings are the best vehicle for information right now 183 00:10:21,200 --> 00:10:24,319 Speaker 1: on how their businesses are doing. And not only did 184 00:10:24,320 --> 00:10:26,960 Speaker 1: we pay attention right now, but we're going to be 185 00:10:27,000 --> 00:10:30,600 Speaker 1: paid attention closely when they're out there in July talking 186 00:10:30,640 --> 00:10:33,679 Speaker 1: about their second quarter and how do things happen, how 187 00:10:33,679 --> 00:10:36,560 Speaker 1: do they feel, and more importantly, what do they see 188 00:10:36,559 --> 00:10:39,080 Speaker 1: for the third and fourth quarter, because we don't know 189 00:10:39,240 --> 00:10:42,000 Speaker 1: what's going to happen on the employment front. I think 190 00:10:42,040 --> 00:10:44,680 Speaker 1: where we're seeing a lot from the publicly traded companies, 191 00:10:44,720 --> 00:10:48,400 Speaker 1: and I feel comfortable with the publicly traded companies who 192 00:10:48,440 --> 00:10:51,400 Speaker 1: have access to the public markets for capital. You know, 193 00:10:51,480 --> 00:10:54,080 Speaker 1: what we really do is feel the pressure on the 194 00:10:54,200 --> 00:10:58,239 Speaker 1: small business. And this economy has been driven by the consumer. 195 00:10:58,280 --> 00:11:00,920 Speaker 1: That consumer is driven by employment and a lot of 196 00:11:00,920 --> 00:11:04,040 Speaker 1: that employment happens at these small businesses. So I think 197 00:11:04,040 --> 00:11:05,839 Speaker 1: the market is going to start to tune in on 198 00:11:05,880 --> 00:11:08,719 Speaker 1: that and that return to jobs, the return of the 199 00:11:08,800 --> 00:11:13,240 Speaker 1: small business is going to be an important factor and 200 00:11:13,360 --> 00:11:15,839 Speaker 1: I think be the primary thing that the market is 201 00:11:15,880 --> 00:11:17,800 Speaker 1: going to focus on as we get into the fall. 202 00:11:18,400 --> 00:11:20,760 Speaker 1: So you mentioned there that you guys are really awaiting 203 00:11:21,200 --> 00:11:23,760 Speaker 1: second quarter earning season so you can listen to commentary 204 00:11:23,840 --> 00:11:27,480 Speaker 1: there maybe learn a bit about what executives are saying 205 00:11:27,520 --> 00:11:30,640 Speaker 1: about the end of the year. Also, in a way, 206 00:11:30,679 --> 00:11:33,120 Speaker 1: does that mean that we're on just hold right now? 207 00:11:33,160 --> 00:11:35,360 Speaker 1: That we're going to be stuck in this pattern until 208 00:11:35,640 --> 00:11:38,199 Speaker 1: we get any more information. Because you also were talking 209 00:11:38,240 --> 00:11:41,440 Speaker 1: about the markets looking through to one, and something I 210 00:11:41,480 --> 00:11:44,120 Speaker 1: find so amazing is that right now, if you look 211 00:11:44,160 --> 00:11:48,400 Speaker 1: at analysts estimates, one but just about match what earnings 212 00:11:48,400 --> 00:11:50,480 Speaker 1: were in two thousand and nineteen when we had peak 213 00:11:50,520 --> 00:11:53,320 Speaker 1: earnings for the SMP five hundred, and to me, it's 214 00:11:53,360 --> 00:11:57,680 Speaker 1: just very difficult to imagine a scenario where by next 215 00:11:57,800 --> 00:12:01,480 Speaker 1: year we're already back at a peak being environment. Right. 216 00:12:01,640 --> 00:12:03,920 Speaker 1: But Sarah, the fact that you're saying that at all 217 00:12:04,080 --> 00:12:08,200 Speaker 1: is I think what's already in the mindset. Analysts don't 218 00:12:08,200 --> 00:12:10,760 Speaker 1: want to adjust their numbers numerous times, and they don't 219 00:12:10,800 --> 00:12:13,360 Speaker 1: have enough data to adjust the numbers, and and you 220 00:12:13,360 --> 00:12:15,120 Speaker 1: know they're going to be guessing if they take it 221 00:12:15,160 --> 00:12:17,319 Speaker 1: down to something because they don't know what that something 222 00:12:17,440 --> 00:12:21,520 Speaker 1: level is. So I think people expect that one to be, 223 00:12:22,160 --> 00:12:25,400 Speaker 1: you know, I think a lower number. I think they 224 00:12:25,400 --> 00:12:28,200 Speaker 1: expect those estimates to have to come down. But the 225 00:12:28,280 --> 00:12:31,400 Speaker 1: market is truly flying blind here. This is an exogenous 226 00:12:31,440 --> 00:12:33,720 Speaker 1: event that came in from out of the blue. When 227 00:12:33,800 --> 00:12:37,160 Speaker 1: you have something like this hit, it's a completely different 228 00:12:37,200 --> 00:12:41,000 Speaker 1: impact on our business economics and how we would value businesses. 229 00:12:41,120 --> 00:12:44,240 Speaker 1: Because my cash flow that normally is determinant of how 230 00:12:44,280 --> 00:12:48,960 Speaker 1: I'm valuing that stock today is suddenly on pause and disruption. 231 00:12:49,360 --> 00:12:53,000 Speaker 1: So what does it take to resume that, Hopefully it's 232 00:12:53,040 --> 00:12:57,640 Speaker 1: only a couple of quarters a year and then we're 233 00:12:57,640 --> 00:13:00,320 Speaker 1: back on track. We don't really know. But again it 234 00:13:00,320 --> 00:13:02,960 Speaker 1: goes back to if you're if you're trying to figure 235 00:13:02,960 --> 00:13:05,720 Speaker 1: out how to value these businesses, the only way to 236 00:13:05,760 --> 00:13:09,280 Speaker 1: do it with some sense of certainty is as much 237 00:13:09,320 --> 00:13:11,320 Speaker 1: as an investor can be certain is you've got to 238 00:13:11,320 --> 00:13:14,440 Speaker 1: look out longer and longer on that time horizon to 239 00:13:14,559 --> 00:13:18,040 Speaker 1: try and make your data fit into something that could 240 00:13:18,040 --> 00:13:22,600 Speaker 1: be real. Yeah. I was reading the Goldman Sacks. They 241 00:13:22,640 --> 00:13:26,400 Speaker 1: do that Paige book report on their earning season, something 242 00:13:26,440 --> 00:13:29,040 Speaker 1: like a hundred and eight s and p five companies 243 00:13:29,280 --> 00:13:34,040 Speaker 1: withdrew guidance. I mean that makes sense, Mike, because if 244 00:13:34,080 --> 00:13:38,680 Speaker 1: you weren't withdrawing guidance, what are you guiding on? Right, 245 00:13:38,720 --> 00:13:41,000 Speaker 1: You're looking into a black hole. You have no idea 246 00:13:41,040 --> 00:13:43,920 Speaker 1: what's there. And so I actually think that was somewhat 247 00:13:44,320 --> 00:13:46,840 Speaker 1: comforting to the market. As they got used to it. 248 00:13:46,880 --> 00:13:50,599 Speaker 1: They started hearing this more and more because if managements 249 00:13:50,600 --> 00:13:53,000 Speaker 1: came out and said, all right, I'm changing guidance and 250 00:13:53,040 --> 00:13:55,760 Speaker 1: then they change it again next quarter, I think that's 251 00:13:55,880 --> 00:13:59,880 Speaker 1: an emotional upset again and again. I looked at the 252 00:14:00,040 --> 00:14:02,080 Speaker 1: companies that we own and the management teams that we 253 00:14:02,160 --> 00:14:05,040 Speaker 1: heard from, and the ones who withdrew guidance gave me 254 00:14:05,120 --> 00:14:07,480 Speaker 1: lots of color around this is what's happening. We don't 255 00:14:07,480 --> 00:14:09,560 Speaker 1: know how the numbers are going to pan out, but 256 00:14:09,640 --> 00:14:11,440 Speaker 1: this is where we think we'll, you know, get to 257 00:14:11,640 --> 00:14:15,559 Speaker 1: just operationally without attaching numbers to it. Those are management 258 00:14:15,559 --> 00:14:18,200 Speaker 1: teams I respect a lot, and it gave me a 259 00:14:18,200 --> 00:14:21,600 Speaker 1: lot of comfort that Listen, they're managing their business through this, 260 00:14:21,760 --> 00:14:23,920 Speaker 1: and that's all I can ask for right now. Yah know, 261 00:14:24,000 --> 00:14:26,360 Speaker 1: I I agree it makes total sense and it is 262 00:14:26,400 --> 00:14:30,120 Speaker 1: the right thing for them to do. UM. But if 263 00:14:30,160 --> 00:14:32,560 Speaker 1: I hear companies withdrawing its guidance, it doesn't make me go, 264 00:14:32,640 --> 00:14:35,160 Speaker 1: you know what, I'm want to buy that start right now? Right? 265 00:14:35,160 --> 00:14:37,480 Speaker 1: Maybe you know, Sarah, maybe it's because I'm I'm a 266 00:14:37,560 --> 00:14:39,800 Speaker 1: little bit on the older end of the UH the 267 00:14:39,840 --> 00:14:43,120 Speaker 1: investors spectrum. I'm looking to save preserve what I have 268 00:14:43,320 --> 00:14:46,680 Speaker 1: rather than UH than UH you know, take some risk um, 269 00:14:47,000 --> 00:14:49,000 Speaker 1: you know, and and Susan maybe that's a big part 270 00:14:49,040 --> 00:14:52,120 Speaker 1: of it. It It all depends on your risk, your risk appetite. Well, 271 00:14:52,200 --> 00:14:54,160 Speaker 1: it does. And so what happened with all of this 272 00:14:54,280 --> 00:14:56,920 Speaker 1: as well, right, interest rates went back down to zero. 273 00:14:57,560 --> 00:14:59,520 Speaker 1: And what happened the last time interest rates were in 274 00:14:59,640 --> 00:15:02,240 Speaker 1: zero People were forced into the stock market because they 275 00:15:02,240 --> 00:15:05,240 Speaker 1: had no alternative. So we've seen interest rates go down 276 00:15:05,280 --> 00:15:08,880 Speaker 1: across the board. You're still looking for an outlet. Institutional 277 00:15:08,920 --> 00:15:11,480 Speaker 1: investors need to be invested in something that gives them 278 00:15:11,480 --> 00:15:15,560 Speaker 1: a return. I think there's no guidance for the next 279 00:15:15,560 --> 00:15:18,320 Speaker 1: couple of quarters, but I've got business models and businesses 280 00:15:18,360 --> 00:15:21,200 Speaker 1: that I'm pretty sure we'll still have cash flow as 281 00:15:21,280 --> 00:15:24,320 Speaker 1: I go forward. And again I'm looking at all, right, 282 00:15:24,320 --> 00:15:26,200 Speaker 1: if I can get a free cash flow yield off 283 00:15:26,200 --> 00:15:29,160 Speaker 1: of a company and it's a positive number, that's ahead 284 00:15:29,160 --> 00:15:32,080 Speaker 1: of what I'm getting somewhere else, and that's ahead of 285 00:15:32,120 --> 00:15:35,320 Speaker 1: anything the Treasury is going to offer me. So I 286 00:15:35,400 --> 00:15:37,200 Speaker 1: hear what you're saying. But I think we had another 287 00:15:37,280 --> 00:15:40,960 Speaker 1: influence there that is reminding people that your best alternative 288 00:15:41,000 --> 00:15:44,840 Speaker 1: here is probably going to be equities, and that helped 289 00:15:44,880 --> 00:15:47,720 Speaker 1: accelerate some of the flow and some of the optimism 290 00:15:47,800 --> 00:16:05,520 Speaker 1: that we'll get through this alright. So, I mean we 291 00:16:05,520 --> 00:16:07,360 Speaker 1: we've heard from the Fed, we got five minutes out 292 00:16:07,600 --> 00:16:11,680 Speaker 1: this past week, and I think everyone understands that lower 293 00:16:11,720 --> 00:16:13,200 Speaker 1: for longer is the name of the game. I mean, 294 00:16:13,280 --> 00:16:17,120 Speaker 1: interest rates are not going back up any time soon. 295 00:16:18,160 --> 00:16:20,400 Speaker 1: If you look at the relative return on bonds for 296 00:16:20,560 --> 00:16:22,600 Speaker 1: stocks and you think about where you want to be 297 00:16:22,640 --> 00:16:27,600 Speaker 1: positioned for the future, how much optimism then can that 298 00:16:27,800 --> 00:16:32,400 Speaker 1: actually propel within the equity market. It seems like, okay, well, 299 00:16:32,400 --> 00:16:34,680 Speaker 1: if you have interest rates at zero, does that mean 300 00:16:34,720 --> 00:16:37,600 Speaker 1: you can just have I mean theoretically and probably not. 301 00:16:37,840 --> 00:16:40,600 Speaker 1: I mean an infinite pe multiple on the stock market. 302 00:16:41,520 --> 00:16:44,280 Speaker 1: I don't think infinite, but I think clearly higher is 303 00:16:45,480 --> 00:16:49,320 Speaker 1: what has resulted. And so we're effectively trying to guess 304 00:16:49,320 --> 00:16:54,360 Speaker 1: a earnings estimates and attach some sort of multiple to that. 305 00:16:54,640 --> 00:16:56,920 Speaker 1: I think everything's got to be relative right now. So 306 00:16:57,000 --> 00:17:00,520 Speaker 1: just as we saw multiple expansion, is you know, interest 307 00:17:00,600 --> 00:17:03,240 Speaker 1: rates dropped to zero in our recovery from the Great Recession, 308 00:17:03,800 --> 00:17:08,000 Speaker 1: we are seeing multiple expansion. Is We're not really sure 309 00:17:08,040 --> 00:17:12,040 Speaker 1: if you go off on a number, Undoubtedly we see 310 00:17:12,119 --> 00:17:15,280 Speaker 1: multiple expansion. Is these stocks have bounced back. We're up 311 00:17:15,280 --> 00:17:18,639 Speaker 1: over from the lows. You know, you've really seen that 312 00:17:18,720 --> 00:17:21,959 Speaker 1: recovery happen in the market. We're down ten plus percent 313 00:17:22,160 --> 00:17:25,600 Speaker 1: year to date, and you know, there is a confidence 314 00:17:25,600 --> 00:17:30,880 Speaker 1: in the market. It's not clear what that forward multiple 315 00:17:31,000 --> 00:17:33,760 Speaker 1: should be, but I do think it's a relative game. 316 00:17:33,960 --> 00:17:36,080 Speaker 1: Where else am I going to go? Because if I 317 00:17:36,080 --> 00:17:38,360 Speaker 1: put it in Europe, I'm on a ten year I've 318 00:17:38,359 --> 00:17:42,560 Speaker 1: got negative rates. I definitely don't want that. So I'm 319 00:17:42,600 --> 00:17:47,040 Speaker 1: again being forced back into what's my best option. It's 320 00:17:47,080 --> 00:17:51,000 Speaker 1: hard to find a positive yield right now. So certainly 321 00:17:51,119 --> 00:17:53,560 Speaker 1: anything that can give me a positive yield about and 322 00:17:53,840 --> 00:17:57,080 Speaker 1: a positive yield well above zero even, you know, a 323 00:17:57,080 --> 00:17:59,760 Speaker 1: dividend yield at two percent right now for a business 324 00:17:59,760 --> 00:18:01,560 Speaker 1: that you think is going to be able to sustain 325 00:18:01,600 --> 00:18:06,960 Speaker 1: itself and recover is probably looking pretty attractive to some investors. So, 326 00:18:07,320 --> 00:18:10,480 Speaker 1: you know, the perennial discussion we've had over the years, 327 00:18:10,840 --> 00:18:12,480 Speaker 1: at least I've had with a lot of people who's 328 00:18:13,000 --> 00:18:16,360 Speaker 1: you know, uh, what interest rates start to pick up? 329 00:18:16,400 --> 00:18:18,800 Speaker 1: What is the level where it sort of spooks the 330 00:18:18,840 --> 00:18:21,920 Speaker 1: stock market? Um, you know, and years passed it was, well, 331 00:18:22,000 --> 00:18:24,159 Speaker 1: was it a three percent ten year yield? Is it 332 00:18:24,160 --> 00:18:26,879 Speaker 1: a four percent ten year yield? I mean, I wonder 333 00:18:26,880 --> 00:18:32,520 Speaker 1: where it is now? Is it? I have no idea 334 00:18:32,720 --> 00:18:35,159 Speaker 1: I know, and it's really hard and it seems to 335 00:18:35,320 --> 00:18:38,800 Speaker 1: have every time. We're back at zero rates. Right now, 336 00:18:38,920 --> 00:18:42,040 Speaker 1: the second time we've done this, we're seemingly at a 337 00:18:42,080 --> 00:18:44,720 Speaker 1: lower level. I think there's a lot to be driven 338 00:18:44,760 --> 00:18:47,879 Speaker 1: by people's comfort level around the economy and how the 339 00:18:47,920 --> 00:18:51,919 Speaker 1: recovery is progressing, just like we saw, you know, just 340 00:18:52,119 --> 00:18:55,880 Speaker 1: this last time. And so it really is how does 341 00:18:55,880 --> 00:18:59,080 Speaker 1: that underlying business feel. How much demand do we have 342 00:18:59,200 --> 00:19:01,439 Speaker 1: from the US? Can sumer? We have a couple of 343 00:19:01,440 --> 00:19:05,760 Speaker 1: different drivers here. Also, we've got manufacturing potentially coming back 344 00:19:05,840 --> 00:19:09,240 Speaker 1: on shore, you know, so we have business in some 345 00:19:09,320 --> 00:19:12,400 Speaker 1: respects moving back into the US. That could be a positive. 346 00:19:12,480 --> 00:19:15,120 Speaker 1: We certainly have pressure on small businesses that are going 347 00:19:15,160 --> 00:19:17,440 Speaker 1: to be moving out or have just been disrupted out 348 00:19:17,440 --> 00:19:21,199 Speaker 1: of existence. But at the same time, I've got I 349 00:19:21,240 --> 00:19:25,760 Speaker 1: think a pretty resilient base from the large companies who 350 00:19:25,800 --> 00:19:28,639 Speaker 1: seem to be weathering the storm. And I think the 351 00:19:28,680 --> 00:19:31,840 Speaker 1: market who looks at these large polically traded companies is 352 00:19:31,880 --> 00:19:34,679 Speaker 1: taking confidence from the queues they're getting there all right, 353 00:19:34,720 --> 00:19:38,920 Speaker 1: So then in this type of environment, considering relative returns 354 00:19:38,960 --> 00:19:40,920 Speaker 1: when you look across assets, of course your team is 355 00:19:40,920 --> 00:19:44,240 Speaker 1: focused on equities anyways, But what's your team actually doing. 356 00:19:44,280 --> 00:19:48,679 Speaker 1: I mean, are you guys advising that people be fully 357 00:19:48,680 --> 00:19:50,959 Speaker 1: invested in this scenario? Should you be a little bit 358 00:19:51,000 --> 00:19:54,199 Speaker 1: more on the defensive side currently? I mean, what do 359 00:19:54,280 --> 00:19:57,480 Speaker 1: you actually do, especially after we've seen a nice thirty 360 00:19:57,520 --> 00:20:01,119 Speaker 1: five percent rebound from the March twenty blows Well, I 361 00:20:01,119 --> 00:20:03,600 Speaker 1: think that's the hard part right now. So we are 362 00:20:03,680 --> 00:20:06,520 Speaker 1: invested in equities, and you know, I have I have 363 00:20:06,600 --> 00:20:10,119 Speaker 1: pension funds, endowments, foundations who give me a portion of 364 00:20:10,160 --> 00:20:13,840 Speaker 1: their endowment, pension fund trust, whatever it may be, and 365 00:20:13,880 --> 00:20:17,000 Speaker 1: say invest this. My job is not to hold cash 366 00:20:17,040 --> 00:20:19,320 Speaker 1: for that. My job is to invest it and deploy 367 00:20:19,359 --> 00:20:22,040 Speaker 1: it into the stock market. So, you know, we think 368 00:20:22,119 --> 00:20:25,080 Speaker 1: that equities do still offer a lot of potential. We're 369 00:20:25,119 --> 00:20:27,919 Speaker 1: positive on it as an asset class. I think within 370 00:20:28,000 --> 00:20:31,280 Speaker 1: equities it's where we move and we've been really busy. 371 00:20:31,359 --> 00:20:35,080 Speaker 1: When you have this much volatility, you do see opportunities 372 00:20:35,119 --> 00:20:38,040 Speaker 1: and I think that you're able to as a stockpicker, 373 00:20:38,520 --> 00:20:40,560 Speaker 1: be able to come out of this ahead of the game. 374 00:20:40,760 --> 00:20:45,040 Speaker 1: So for us, my analysts have been working non stop 375 00:20:45,400 --> 00:20:48,440 Speaker 1: digging into the different businesses because you do see pricing 376 00:20:48,440 --> 00:20:52,280 Speaker 1: dislocations and you find have suddenly, when you have a 377 00:20:52,320 --> 00:20:54,760 Speaker 1: dislocation like this in the market, you suddenly have an 378 00:20:54,800 --> 00:20:58,080 Speaker 1: opportunity to buy companies at a price that you know 379 00:20:58,480 --> 00:21:00,240 Speaker 1: you didn't think was going to be possible. Well, and 380 00:21:00,240 --> 00:21:01,840 Speaker 1: it may be a business that you think is a 381 00:21:01,880 --> 00:21:04,280 Speaker 1: great business model, you've always wanted to own it, but 382 00:21:04,440 --> 00:21:07,320 Speaker 1: we're evaluation sensitive, so we were never able to afford 383 00:21:07,359 --> 00:21:09,919 Speaker 1: it before, and suddenly now I can put that in 384 00:21:09,960 --> 00:21:13,520 Speaker 1: the portfolio. I think you all, what you end up 385 00:21:13,520 --> 00:21:16,680 Speaker 1: buying all depends on your timeframe, and I think that's 386 00:21:16,680 --> 00:21:19,719 Speaker 1: where you'll see the difference between portfolios. But I do 387 00:21:19,800 --> 00:21:22,600 Speaker 1: think there's a lot of opportunity for actual stock picking, 388 00:21:22,800 --> 00:21:25,000 Speaker 1: and we have not had a lot of environments where 389 00:21:25,040 --> 00:21:27,399 Speaker 1: you can say that in over the last couple of years, 390 00:21:27,720 --> 00:21:29,439 Speaker 1: and so the fact that this is coming back to 391 00:21:29,480 --> 00:21:32,480 Speaker 1: the forefront, I do think that makes a difference, and 392 00:21:32,520 --> 00:21:35,680 Speaker 1: it's giving us a lot of room in our portfolios 393 00:21:35,760 --> 00:21:37,639 Speaker 1: to find stuff that we think is going to be, 394 00:21:37,920 --> 00:21:41,080 Speaker 1: you know, a great place to be for the next 395 00:21:41,200 --> 00:21:44,720 Speaker 1: not just quarter, but several years. I'm glad you brought 396 00:21:44,800 --> 00:21:48,760 Speaker 1: up the proverbial stock pickers. Uh there's uh some notes 397 00:21:48,800 --> 00:21:51,040 Speaker 1: you sent around and I wanted to ask you about 398 00:21:51,080 --> 00:21:55,040 Speaker 1: that because I think it's a really important point. Um Um. 399 00:21:55,080 --> 00:21:58,240 Speaker 1: You say, important swings back to active managers who can 400 00:21:58,440 --> 00:22:01,960 Speaker 1: sort of take advantage of this look ocations in the market. Um. 401 00:22:02,000 --> 00:22:04,480 Speaker 1: I will say, Susan, I've done this job for a while. 402 00:22:04,960 --> 00:22:07,400 Speaker 1: I don't know how many times I've heard it's time 403 00:22:07,440 --> 00:22:10,000 Speaker 1: for the return of the stock becker. They're coming back, 404 00:22:10,240 --> 00:22:12,520 Speaker 1: They're coming. But I will say I do agree with 405 00:22:12,560 --> 00:22:14,560 Speaker 1: you that this time is different. I mean, if ever 406 00:22:14,640 --> 00:22:19,280 Speaker 1: there was a sort of fertile ground for more active 407 00:22:19,320 --> 00:22:22,240 Speaker 1: managers to be able to beat the index, and now 408 00:22:22,440 --> 00:22:25,320 Speaker 1: was obviously the time. But I will say one thing though, 409 00:22:25,359 --> 00:22:28,000 Speaker 1: went and Sarah had a story. Sarah, I confess I 410 00:22:28,080 --> 00:22:29,960 Speaker 1: read the headline. I haven't read the full story yet, 411 00:22:30,200 --> 00:22:33,760 Speaker 1: I don't know, but but it was about how the 412 00:22:33,760 --> 00:22:36,320 Speaker 1: the DLL average is kind of a dog right now 413 00:22:36,359 --> 00:22:40,320 Speaker 1: because of obviously because of the you know, the sectors 414 00:22:41,200 --> 00:22:45,200 Speaker 1: with the heaviest waiting in it. Um. So I would say, 415 00:22:45,200 --> 00:22:49,440 Speaker 1: you know, an active manager could come to me and say, hey, 416 00:22:49,560 --> 00:22:51,639 Speaker 1: we're gonna beat the SMP this year. Look, we we 417 00:22:51,680 --> 00:22:54,600 Speaker 1: beat the SMP this last quarter, and I feel like 418 00:22:54,640 --> 00:22:57,439 Speaker 1: people would push back and say congratulations, But I switched 419 00:22:57,440 --> 00:22:59,760 Speaker 1: to the nasdack one hundred. Come back to me away, 420 00:23:00,000 --> 00:23:03,120 Speaker 1: and you're beating that, Right, I moved to something else, right? 421 00:23:03,280 --> 00:23:05,920 Speaker 1: You know? Is there this risk of sort of benchmark 422 00:23:06,040 --> 00:23:10,359 Speaker 1: drift into uh, you know, into the indexes that that 423 00:23:10,440 --> 00:23:14,480 Speaker 1: better represent, like the nazac on that that represent sort 424 00:23:14,480 --> 00:23:17,760 Speaker 1: of those what appear to behavings in this environment. You 425 00:23:17,920 --> 00:23:21,239 Speaker 1: your Facebook's, your biotechs. I think there always is that 426 00:23:21,440 --> 00:23:24,480 Speaker 1: tendency to I want to be invested in what's been successful, 427 00:23:24,600 --> 00:23:28,040 Speaker 1: so I chase after it. We're seeing a lot of 428 00:23:28,240 --> 00:23:30,720 Speaker 1: hints as to what the future might hold. We've seen 429 00:23:30,760 --> 00:23:34,200 Speaker 1: these disruptor industries come into play over the last couple 430 00:23:34,280 --> 00:23:39,080 Speaker 1: of years, but during this crisis, we've actually seen new 431 00:23:39,119 --> 00:23:44,200 Speaker 1: technologies be forced to have that uptake ratio increase. Right, 432 00:23:44,280 --> 00:23:48,240 Speaker 1: people have to use them. So I have friends grandparents 433 00:23:48,240 --> 00:23:52,320 Speaker 1: who never ordered anything online are suddenly amazed at the 434 00:23:52,359 --> 00:23:55,880 Speaker 1: convenience of this and look what they can do. Um right, 435 00:23:56,480 --> 00:24:00,440 Speaker 1: finally being pushed into this mode. And I do think 436 00:24:00,480 --> 00:24:03,720 Speaker 1: that we are seeing a lot of new industries coming 437 00:24:03,760 --> 00:24:08,480 Speaker 1: into play. The resiliency of the restaurant scene in Chicago 438 00:24:08,560 --> 00:24:11,720 Speaker 1: where I sit has been amazing to me. Where when 439 00:24:11,720 --> 00:24:15,160 Speaker 1: the crisis first hit, as you can see, I'm still 440 00:24:15,160 --> 00:24:19,160 Speaker 1: in the office, but walking home at night right businesses 441 00:24:19,280 --> 00:24:23,440 Speaker 1: were shutter doors were closed. However, now I walk home 442 00:24:23,520 --> 00:24:26,919 Speaker 1: and there are lines of people outside the different restaurants 443 00:24:26,960 --> 00:24:30,840 Speaker 1: waiting for pick up. I see Uber cars, lift cars, 444 00:24:30,840 --> 00:24:35,480 Speaker 1: grub Hub delivery everywhere, and so we're seeing these new 445 00:24:35,520 --> 00:24:38,640 Speaker 1: industries and new delivery mechanisms pop up, and I think 446 00:24:38,680 --> 00:24:41,560 Speaker 1: that some of that will stick, maybe not a hundred percent, 447 00:24:41,640 --> 00:24:44,439 Speaker 1: but it's not going back to zero. So I do 448 00:24:44,560 --> 00:24:47,280 Speaker 1: think that, you know, we are seeing a shift. If 449 00:24:47,320 --> 00:24:50,359 Speaker 1: you like the you know, top one in the Nasdack, 450 00:24:51,040 --> 00:24:54,199 Speaker 1: you're doing that because you see the power of those businesses. 451 00:24:54,359 --> 00:24:56,600 Speaker 1: That's not to say there's not something still great to 452 00:24:56,680 --> 00:24:59,879 Speaker 1: buy in the S and P five hundred. So again 453 00:25:00,280 --> 00:25:03,239 Speaker 1: it's really a matter of comfort. The Dow is a 454 00:25:03,240 --> 00:25:06,240 Speaker 1: tough place to be right now because it is only 455 00:25:06,280 --> 00:25:09,359 Speaker 1: thirty stocks. Remember what you're getting when you buy these indicries. 456 00:25:09,400 --> 00:25:12,720 Speaker 1: Not everyone looks through it. So I think that's also 457 00:25:12,720 --> 00:25:15,480 Speaker 1: a cautionary tale when you buy an index, you better 458 00:25:15,520 --> 00:25:18,000 Speaker 1: make sure you know what's in it, because sometimes you're 459 00:25:18,280 --> 00:25:22,320 Speaker 1: surprised and it's not to the positive. I will say, sorry, Sarah, 460 00:25:22,320 --> 00:25:24,720 Speaker 1: I gotta interject though, I gotta agree with Susan on 461 00:25:24,760 --> 00:25:27,880 Speaker 1: the restaurant seed in Chicago. I think I gained ten 462 00:25:27,880 --> 00:25:30,600 Speaker 1: pounds the last time I was in Chicago, and I like, 463 00:25:30,640 --> 00:25:32,960 Speaker 1: I was there for a long weekend and I think 464 00:25:32,960 --> 00:25:36,040 Speaker 1: I used pizza something. Have a great restaurant scene here. 465 00:25:36,160 --> 00:25:38,280 Speaker 1: I think it's one of the hidden secrets of the city. 466 00:25:38,320 --> 00:25:41,320 Speaker 1: People don't appreciate great chefs in the city, and you 467 00:25:41,480 --> 00:25:43,960 Speaker 1: really do, totally. I ate like eight meals a day. 468 00:25:44,040 --> 00:25:46,040 Speaker 1: And I'll say, in New Jersey were snobby about food. 469 00:25:46,080 --> 00:25:48,640 Speaker 1: I mean, everyone gives Jersey a hard knock, but we are. 470 00:25:49,520 --> 00:25:51,560 Speaker 1: We've got a good food seed and we're snobby about it. 471 00:25:51,600 --> 00:25:54,000 Speaker 1: So that that is a compliment to Chicago, a rare 472 00:25:54,080 --> 00:25:57,320 Speaker 1: compliment for me. Once things get back to normal, Well, 473 00:25:57,359 --> 00:25:59,520 Speaker 1: I'll take a trip out to see Susan in Chicago 474 00:25:59,640 --> 00:26:02,359 Speaker 1: and we'll we eight meals a day. I have I've 475 00:26:02,400 --> 00:26:04,240 Speaker 1: got I've got plenty of places for us to try. 476 00:26:04,320 --> 00:26:08,120 Speaker 1: So they're going on, it's going on Stair's expense account. Though, 477 00:26:08,160 --> 00:26:10,760 Speaker 1: all right, I'll take it. I'll take it just for now, 478 00:26:10,880 --> 00:26:13,760 Speaker 1: but don't hold me to it months from now or 479 00:26:13,760 --> 00:26:16,880 Speaker 1: whenever that might be. But Mike, something that has been 480 00:26:16,920 --> 00:26:21,680 Speaker 1: crazy about this whole crisis is the reality that it's 481 00:26:21,720 --> 00:26:25,720 Speaker 1: sped up technological innovation that we have seen these dislocations 482 00:26:25,720 --> 00:26:30,080 Speaker 1: across indexes. Because although everyone thought that when we had 483 00:26:30,080 --> 00:26:32,879 Speaker 1: to sell off the very large internet and tech companies 484 00:26:32,920 --> 00:26:35,320 Speaker 1: would lead on the way down, I mean, they're excelling 485 00:26:35,440 --> 00:26:37,919 Speaker 1: right now. And to a lot of people, it's crazy. 486 00:26:38,080 --> 00:26:40,240 Speaker 1: It is crazy. It is part of the optimism that 487 00:26:40,320 --> 00:26:44,280 Speaker 1: drives the market. Right. It's creative destruction. We've seen that before, right, 488 00:26:44,400 --> 00:26:46,960 Speaker 1: old business models start to go to the wayside, new 489 00:26:47,000 --> 00:26:50,120 Speaker 1: business models take share and take over. And so this 490 00:26:50,200 --> 00:26:53,680 Speaker 1: is you know, this is one of those interesting moments 491 00:26:53,720 --> 00:26:56,520 Speaker 1: when you step back and look at a multi year 492 00:26:56,560 --> 00:27:00,760 Speaker 1: time frame where you are seeing the technology lergy really 493 00:27:00,840 --> 00:27:06,399 Speaker 1: infiltrate and force society. The circumstances are forcing society and 494 00:27:06,440 --> 00:27:10,160 Speaker 1: social norms to change and adapt a lot of that technology. So, 495 00:27:10,600 --> 00:27:12,359 Speaker 1: you know, I always I always think that at the 496 00:27:12,440 --> 00:27:13,960 Speaker 1: end of my career, I'm going to go back and 497 00:27:14,000 --> 00:27:16,760 Speaker 1: look at these really poignant moments where you saw a shift, 498 00:27:17,200 --> 00:27:19,440 Speaker 1: and this is going to be one of them, without question. 499 00:27:21,880 --> 00:27:24,119 Speaker 1: You know, Mike, I cued you up pretty solidly, and 500 00:27:24,160 --> 00:27:26,520 Speaker 1: I don't think you even realized that you did. You did. 501 00:27:26,560 --> 00:27:29,080 Speaker 1: That was pretty That was pretty good. That was pretty good. 502 00:27:33,040 --> 00:27:34,600 Speaker 1: So as I don't know if they warned you about 503 00:27:34,600 --> 00:27:37,760 Speaker 1: our our craziest thing. We saw a gimmick. Um, I 504 00:27:37,800 --> 00:27:40,040 Speaker 1: trust you you you came with something. But Sarah, we 505 00:27:40,040 --> 00:27:42,600 Speaker 1: we did get a voicemail into the what Goes Up 506 00:27:42,600 --> 00:27:47,119 Speaker 1: hotline call. Now I feel like Wolfman Jack now that 507 00:27:47,200 --> 00:27:49,840 Speaker 1: every time, maybe maybe more people will call it them. 508 00:27:49,880 --> 00:27:53,359 Speaker 1: That's right. Uh, let's let's give a listen to that. Hi. 509 00:27:53,440 --> 00:27:56,680 Speaker 1: I'm Philip from Review. I actually work on Blooment. I'm 510 00:27:56,720 --> 00:28:00,320 Speaker 1: calling to what's going up and the cree the thing 511 00:28:00,400 --> 00:28:05,000 Speaker 1: that I find market. So today's Pride May fifteen and 512 00:28:05,200 --> 00:28:08,440 Speaker 1: hearing Brazil we are just change our health minister for 513 00:28:08,640 --> 00:28:13,800 Speaker 1: the second time in the pandemic thirty days. So yeah, 514 00:28:14,080 --> 00:28:18,760 Speaker 1: that's great. So the second Brazilian health minister in thirty 515 00:28:18,800 --> 00:28:22,000 Speaker 1: days not really market related, but I guess everything market 516 00:28:22,400 --> 00:28:25,000 Speaker 1: is now health related. I guess the two have become 517 00:28:25,640 --> 00:28:28,760 Speaker 1: inextricably entwined. You know, it's funny because I feel like 518 00:28:28,800 --> 00:28:34,120 Speaker 1: there's this there's this biotech pharma group of investors who 519 00:28:34,200 --> 00:28:37,200 Speaker 1: know how to read a press release about a clinical trial, 520 00:28:37,480 --> 00:28:40,680 Speaker 1: and then there's the rest of us idiots who who think, oh, 521 00:28:40,720 --> 00:28:43,960 Speaker 1: my gosh, cure that. You know, the clinical trial with 522 00:28:44,040 --> 00:28:47,840 Speaker 1: eight patients, no one drew a third eye, it's over. 523 00:28:48,280 --> 00:28:51,640 Speaker 1: You know what I mean Like there is that you know, 524 00:28:53,000 --> 00:28:55,560 Speaker 1: it's human nature to want to solve this problem and 525 00:28:55,600 --> 00:28:57,520 Speaker 1: move fast it. So the minute there's a hint of 526 00:28:57,560 --> 00:29:00,800 Speaker 1: a cure out there, people are leaping on that. It 527 00:29:01,120 --> 00:29:05,040 Speaker 1: is interesting because even without this, biotech has become a bigger, 528 00:29:05,080 --> 00:29:07,840 Speaker 1: bigger part of the indicase right, and these companies have 529 00:29:07,960 --> 00:29:13,160 Speaker 1: really grown. So now we're seeing that continue to in 530 00:29:13,200 --> 00:29:16,000 Speaker 1: the repercussions of that continue to move the market because 531 00:29:16,000 --> 00:29:19,240 Speaker 1: we have seen huge jumps and things that businesses that 532 00:29:19,280 --> 00:29:23,040 Speaker 1: I've never heard of that suddenly, you know, haveing they've 533 00:29:23,080 --> 00:29:25,560 Speaker 1: got a cure, They've got some sort of solution for this. 534 00:29:26,000 --> 00:29:28,440 Speaker 1: And it's human nature to want to be able to 535 00:29:28,480 --> 00:29:30,480 Speaker 1: say that there's a solution and this problem is going 536 00:29:30,520 --> 00:29:33,040 Speaker 1: to go away. So yes, I do think we've seen that. 537 00:29:33,360 --> 00:29:35,200 Speaker 1: I think it's too soon to tell, and I know 538 00:29:35,240 --> 00:29:37,440 Speaker 1: that I am not one of those people who can 539 00:29:37,440 --> 00:29:40,120 Speaker 1: read those FDA trials and say, phase one, phase two, 540 00:29:40,160 --> 00:29:42,680 Speaker 1: this is what it means. So I'm not going to 541 00:29:42,760 --> 00:29:45,040 Speaker 1: be able to pick that one company out of hundreds 542 00:29:45,080 --> 00:29:47,720 Speaker 1: that may get it. But I can think about how 543 00:29:47,760 --> 00:29:49,640 Speaker 1: that's going to impact the rest of the world and 544 00:29:49,720 --> 00:29:54,800 Speaker 1: other business models. Sarah. Here vaccines are the new blockchain 545 00:29:55,920 --> 00:30:00,880 Speaker 1: vaccines but shooting up everywhere biotech company you. I feel 546 00:30:00,880 --> 00:30:03,120 Speaker 1: like McDonald's is gonna say we're working on a vaccine 547 00:30:03,160 --> 00:30:05,720 Speaker 1: and their stock is gonna double overnight, like like the 548 00:30:05,720 --> 00:30:08,760 Speaker 1: Long Island iced tea and blockchain company from a few 549 00:30:08,840 --> 00:30:11,120 Speaker 1: years ago, Ang Island Blockchain. I was just about to 550 00:30:11,200 --> 00:30:15,160 Speaker 1: say that my mind, Mike, But al right, sir, it's 551 00:30:15,160 --> 00:30:16,800 Speaker 1: time for you to bring it. What's the craziest thing 552 00:30:16,840 --> 00:30:18,800 Speaker 1: you saw this week? But first, I do want to 553 00:30:18,800 --> 00:30:22,320 Speaker 1: remind everyone after we did hear that voicemail and from 554 00:30:22,360 --> 00:30:25,080 Speaker 1: Brazil that no matter what country you're in, you can 555 00:30:25,080 --> 00:30:27,800 Speaker 1: call our podcast hotline, and that number for you is 556 00:30:27,840 --> 00:30:31,960 Speaker 1: six four six three two four three for nine zero. 557 00:30:32,040 --> 00:30:34,800 Speaker 1: We always love hearing what you have to say, and 558 00:30:34,880 --> 00:30:37,920 Speaker 1: maybe we'll even play it on the show. So Mike, first, 559 00:30:37,960 --> 00:30:40,720 Speaker 1: I'm actually going to start with an email that I got, 560 00:30:40,760 --> 00:30:43,240 Speaker 1: So not a tweet, not a voicemail, but an email 561 00:30:43,280 --> 00:30:46,840 Speaker 1: that I got old fash listener have old fashioned, right, 562 00:30:47,600 --> 00:30:50,240 Speaker 1: but because it touches on this biotech topic, and really 563 00:30:50,240 --> 00:30:53,200 Speaker 1: what's crazy about it was more so the timing of 564 00:30:53,200 --> 00:30:56,719 Speaker 1: this email more than anything. His name is a Phil Ciska. 565 00:30:56,800 --> 00:30:59,680 Speaker 1: He's a managing partner over at Green Mountain Investment Partners, 566 00:31:00,040 --> 00:31:03,760 Speaker 1: and he sent me this lengthy email about Maderna over 567 00:31:03,800 --> 00:31:07,240 Speaker 1: the weekends and he was essentially talking about how the 568 00:31:07,280 --> 00:31:10,360 Speaker 1: former director of Maderna was introduced last week in the 569 00:31:10,400 --> 00:31:13,800 Speaker 1: White House Rose Garden as chief Scientists and going on 570 00:31:13,880 --> 00:31:15,840 Speaker 1: and on about Maderna, and then we all know what 571 00:31:15,920 --> 00:31:19,840 Speaker 1: happened next. On Monday, the trial news came out, Maderna spike, 572 00:31:21,160 --> 00:31:23,800 Speaker 1: and then the next day the stat News report came 573 00:31:23,840 --> 00:31:28,960 Speaker 1: out and Maderna dropped ten percent um. So we'll take 574 00:31:29,040 --> 00:31:32,840 Speaker 1: the positive as we can right now, but it really 575 00:31:32,880 --> 00:31:37,560 Speaker 1: is unbelievable everyone just having to read stat News, everyone 576 00:31:37,600 --> 00:31:39,719 Speaker 1: having to really focus on what's going on with FDA 577 00:31:40,200 --> 00:31:43,880 Speaker 1: UH trials and try to glean what the outcome might be, 578 00:31:44,440 --> 00:31:47,600 Speaker 1: you know, very excellent news source stat News. I've never 579 00:31:47,640 --> 00:31:49,960 Speaker 1: heard of it before of all this, and I'll probably 580 00:31:50,000 --> 00:31:52,320 Speaker 1: i'll probably quickly forget about it once this is all gone. 581 00:31:52,320 --> 00:31:54,800 Speaker 1: But they are good, a good source during all this. 582 00:31:55,080 --> 00:31:57,920 Speaker 1: Um So a shout out to them and anyone they're 583 00:31:57,960 --> 00:32:02,320 Speaker 1: having a birthday this week. Alright, Susan, you're on the 584 00:32:02,360 --> 00:32:05,400 Speaker 1: hot seat. What do you have? Not so crazy? But 585 00:32:05,520 --> 00:32:08,600 Speaker 1: let's go back to just the what's become routine for us. 586 00:32:08,680 --> 00:32:10,880 Speaker 1: I saw a market where small caps were up over 587 00:32:10,920 --> 00:32:15,240 Speaker 1: six percent in one day this week. So we forget 588 00:32:15,400 --> 00:32:18,680 Speaker 1: how this is not normal. You know, we forget how 589 00:32:18,760 --> 00:32:20,920 Speaker 1: different the environment has become right now. And you know, 590 00:32:20,960 --> 00:32:24,200 Speaker 1: we talk about these extreme things, but in our regular world, 591 00:32:24,280 --> 00:32:27,280 Speaker 1: having the market up six percent in one day, that's 592 00:32:27,320 --> 00:32:30,440 Speaker 1: not normal. That is a crazy thing, and we forget 593 00:32:30,480 --> 00:32:33,680 Speaker 1: that because we're in such a strange environment right now. 594 00:32:34,120 --> 00:32:35,960 Speaker 1: And so, you know, going back to where we started 595 00:32:35,960 --> 00:32:39,760 Speaker 1: the conversation, volatility is here, and we've seen it creep 596 00:32:39,840 --> 00:32:42,480 Speaker 1: up the last couple of years. We've seen moments of it, 597 00:32:42,800 --> 00:32:45,080 Speaker 1: but I really think the next couple of months, because 598 00:32:45,120 --> 00:32:48,040 Speaker 1: we have all this anticipation, whether it's you know, moderna. 599 00:32:48,200 --> 00:32:50,440 Speaker 1: Someone's coming out with a new vaccine, we've got a 600 00:32:50,480 --> 00:32:53,400 Speaker 1: new cure. States are opening up and people are fine. 601 00:32:53,440 --> 00:32:58,360 Speaker 1: Nothing spiked up yet that easily can be reversed, as 602 00:32:58,360 --> 00:33:01,240 Speaker 1: we've seen with well the trial was only on eight 603 00:33:01,280 --> 00:33:07,160 Speaker 1: people in a mouse and well the sustans did open up. 604 00:33:07,160 --> 00:33:09,640 Speaker 1: But now we've had a hot spot occur and we've 605 00:33:09,640 --> 00:33:13,640 Speaker 1: got more cases. So be prepared because I think that 606 00:33:13,720 --> 00:33:16,400 Speaker 1: volatility is really here. And and again, if I had 607 00:33:16,760 --> 00:33:18,880 Speaker 1: heard that there was a six percent up in one 608 00:33:18,960 --> 00:33:21,280 Speaker 1: day early in my career, I would have said, really, 609 00:33:21,640 --> 00:33:24,680 Speaker 1: it just seems so extreme. And yet now it's because 610 00:33:24,720 --> 00:33:27,720 Speaker 1: it become common for us. It really is unbelievable. And 611 00:33:27,720 --> 00:33:30,560 Speaker 1: all that same day I was looking at the equal 612 00:33:30,600 --> 00:33:34,280 Speaker 1: weight SMP five hundred outperformed the regular marketcout weight at 613 00:33:34,320 --> 00:33:36,200 Speaker 1: SMP by the most. It's two thousand and nine, and 614 00:33:36,240 --> 00:33:39,360 Speaker 1: we're all just sitting here watching our terminals, going on 615 00:33:39,400 --> 00:33:41,600 Speaker 1: about our days if it's any other day, because it's 616 00:33:41,640 --> 00:33:46,280 Speaker 1: just normal right now, right mine is okay. We all 617 00:33:46,320 --> 00:33:49,880 Speaker 1: know who the famous author in the seem celeb is. 618 00:33:49,960 --> 00:33:54,360 Speaker 1: He he wrote the Black Swan. He's had a resurgence 619 00:33:54,520 --> 00:33:58,840 Speaker 1: in sort of his profile because the hedge fund he advises, 620 00:33:59,200 --> 00:34:04,080 Speaker 1: UH killed it during this whole event because they invest 621 00:34:04,560 --> 00:34:07,200 Speaker 1: with a tell risk strategy, in other words, really far 622 00:34:07,280 --> 00:34:09,719 Speaker 1: out of the money options. And you guys know who 623 00:34:09,719 --> 00:34:12,799 Speaker 1: he is, right. And there's another guy we all know, 624 00:34:13,000 --> 00:34:16,040 Speaker 1: Cliff Fastness, the founder of a q R, one of 625 00:34:16,080 --> 00:34:20,319 Speaker 1: the biggest quant fund UH groups out there. Well, these 626 00:34:20,320 --> 00:34:24,000 Speaker 1: two guys got into one of the most ferocious Twitter 627 00:34:24,040 --> 00:34:27,640 Speaker 1: battles I've ever seen in the history of financial Twitter. 628 00:34:27,680 --> 00:34:29,960 Speaker 1: And sire, yes, you know, there's been some pretty nasty ones. 629 00:34:30,520 --> 00:34:33,400 Speaker 1: And so they and insults back and forth. It all started. 630 00:34:33,719 --> 00:34:39,879 Speaker 1: UH Talib accused uh Astness of some research that sort 631 00:34:39,920 --> 00:34:46,120 Speaker 1: of UH did not treat tell tale risk kedging with 632 00:34:46,239 --> 00:34:48,719 Speaker 1: respect he thought it should be treated. And back and 633 00:34:48,760 --> 00:34:50,640 Speaker 1: forth they went to The insults were so bad I'm 634 00:34:50,640 --> 00:34:52,719 Speaker 1: afraid to actually read them on the show. I feel 635 00:34:52,719 --> 00:34:55,879 Speaker 1: like our our corporate attorney at Bloomberg will be beyond 636 00:34:55,920 --> 00:34:57,640 Speaker 1: my back if I read them. But I'll give you 637 00:34:57,680 --> 00:35:01,279 Speaker 1: a couple uh and and I will point out both 638 00:35:01,320 --> 00:35:04,000 Speaker 1: of these guys are absolutely brilliant, among the sharpest minds 639 00:35:04,280 --> 00:35:06,960 Speaker 1: UH in the investing world. I will admit I'm not 640 00:35:07,000 --> 00:35:08,920 Speaker 1: smart enough to do the research and figure it out 641 00:35:08,920 --> 00:35:13,040 Speaker 1: who's right in this debate. But I am confident in 642 00:35:13,120 --> 00:35:16,879 Speaker 1: my ability to judge a winner in an insult comedy war. 643 00:35:17,000 --> 00:35:20,120 Speaker 1: And I got to give it to Cliff because his 644 00:35:20,120 --> 00:35:24,840 Speaker 1: his one comeback was and Cliffs quick Twitter about a 645 00:35:24,880 --> 00:35:27,799 Speaker 1: thousand times a year and come back, you know, to say, 646 00:35:27,800 --> 00:35:30,680 Speaker 1: and one more thing. But he said, I have to 647 00:35:30,680 --> 00:35:34,160 Speaker 1: stop now. This is not productive. It's like being met 648 00:35:34,239 --> 00:35:36,600 Speaker 1: at a skunk. So you hit it with a tennis racket. 649 00:35:37,280 --> 00:35:41,720 Speaker 1: So I I I'm gonna award Cliff the winner of this, uh, 650 00:35:42,040 --> 00:35:44,120 Speaker 1: this war, at least the insult part. I don't know 651 00:35:44,160 --> 00:35:47,880 Speaker 1: about the market stuff over my head. Never heard that 652 00:35:47,960 --> 00:35:50,600 Speaker 1: insult before, but I believe it was Thursday night. This 653 00:35:50,680 --> 00:35:53,560 Speaker 1: was my bedtime reading. I was sitting on my phone 654 00:35:53,920 --> 00:35:57,200 Speaker 1: scrolling through Twitter looking at the insult. It's just my 655 00:35:57,280 --> 00:36:00,440 Speaker 1: mouth gaping wide open, and then I tried to fall asleep. 656 00:36:01,600 --> 00:36:06,640 Speaker 1: That's the normal day and night these days. So absolutely, 657 00:36:08,000 --> 00:36:10,160 Speaker 1: your Susan, if you want to insult both of those guys, 658 00:36:10,200 --> 00:36:14,479 Speaker 1: we could make this thing go viral. I can see 659 00:36:14,520 --> 00:36:16,920 Speaker 1: I missed the Twitter exchange there, but I can see 660 00:36:16,960 --> 00:36:20,319 Speaker 1: how it would occur. And you've got different sides of 661 00:36:20,320 --> 00:36:23,160 Speaker 1: the coin. Here we have people who are super optimistic 662 00:36:23,239 --> 00:36:25,319 Speaker 1: jumping right back in. You've got investors who are still 663 00:36:25,320 --> 00:36:27,600 Speaker 1: a little nervous, you know, hanging out on the sidelines, 664 00:36:28,040 --> 00:36:29,879 Speaker 1: and so I can see how that would go back 665 00:36:29,920 --> 00:36:32,359 Speaker 1: and forth. I would not step in front of a 666 00:36:32,400 --> 00:36:36,000 Speaker 1: tweet from Cliff Asness by any stretch of imagination, and 667 00:36:36,400 --> 00:36:38,840 Speaker 1: definitely not. And I agree with them it's not productive 668 00:36:38,880 --> 00:36:41,080 Speaker 1: because there's no winner. You don't know what's going on. 669 00:36:41,719 --> 00:36:44,200 Speaker 1: Um that. Yes, I have the utmost respect for both 670 00:36:44,200 --> 00:36:47,279 Speaker 1: of them, and you can see how they both come 671 00:36:47,280 --> 00:36:50,799 Speaker 1: at it from very different angles. Yeah, I agree. I'm 672 00:36:50,840 --> 00:36:52,000 Speaker 1: not going to get in a fight with either one 673 00:36:52,000 --> 00:36:55,040 Speaker 1: of those guys. Right, No, no insults on this show, 674 00:36:55,080 --> 00:36:58,040 Speaker 1: at least for today, and especially not directed at either 675 00:36:58,120 --> 00:37:01,000 Speaker 1: of those two, at least not one that mentions a skunk. 676 00:37:01,080 --> 00:37:05,080 Speaker 1: So there you go. Definitely not uh. But with that 677 00:37:05,160 --> 00:37:07,560 Speaker 1: said Susan Smith, thank you so much for joining us 678 00:37:07,560 --> 00:37:10,560 Speaker 1: on the show today, and everyone enjoy your long weekends. 679 00:37:10,920 --> 00:37:13,880 Speaker 1: And happy birthday to that guy what's his name? Happy 680 00:37:13,960 --> 00:37:18,560 Speaker 1: birthday to Michael Gross, that guy, as Mike Reagan would say, well, 681 00:37:18,560 --> 00:37:29,839 Speaker 1: thanks for having me. What goes up? We'll be back 682 00:37:29,920 --> 00:37:32,080 Speaker 1: next week until then you can find us on the 683 00:37:32,080 --> 00:37:35,799 Speaker 1: Bluemberg terminal website and app, or wherever you get your podcasts. 684 00:37:36,120 --> 00:37:37,759 Speaker 1: We love it if you took the time to rate 685 00:37:37,800 --> 00:37:40,560 Speaker 1: interview the show on Apple Podcasts so more listeners can 686 00:37:40,560 --> 00:37:43,200 Speaker 1: find us. And you can find us on Twitter, follow 687 00:37:43,239 --> 00:37:46,680 Speaker 1: me at at Sara pant Sack, Mike is that Reagan Anonymous, 688 00:37:47,040 --> 00:37:50,839 Speaker 1: and you can also follow us on Bloomberg Podcasts at podcasts. 689 00:37:51,400 --> 00:37:53,719 Speaker 1: What Goes Up is produced by Topur Forehead. The head 690 00:37:53,760 --> 00:37:57,040 Speaker 1: of Bloomberg podcast is Francesca Leavie. Thanks for listening, See 691 00:37:57,040 --> 00:38:05,320 Speaker 1: you next time. Do not wanting