1 00:00:13,680 --> 00:00:16,960 Speaker 1: Hello, and welcome to What Goes Up, a Bloomberg Weekly 2 00:00:17,040 --> 00:00:20,520 Speaker 1: Markets podcast. I'm Sara pan Zac, a reporter on the 3 00:00:20,560 --> 00:00:23,600 Speaker 1: Cross Asset team, and I'm Mike Reagan, a senior editor 4 00:00:23,680 --> 00:00:26,000 Speaker 1: on the Markets team. This week on the show, the 5 00:00:26,079 --> 00:00:29,480 Speaker 1: FED cut rates for the third straight time, but they 6 00:00:29,560 --> 00:00:32,920 Speaker 1: signaled that's all for now, Plus some of the biggest 7 00:00:32,920 --> 00:00:35,920 Speaker 1: tech names reported earnings. Our guests will help us break 8 00:00:35,920 --> 00:00:38,720 Speaker 1: it all down, and as always, will close out the 9 00:00:38,760 --> 00:00:43,200 Speaker 1: episode with the craziest things we saw in markets this week, Sarah, 10 00:00:43,240 --> 00:00:45,120 Speaker 1: week or two ago? Is awkward where you and I 11 00:00:45,200 --> 00:00:47,559 Speaker 1: both picked the same crazy thing? Was it awkward? I 12 00:00:47,560 --> 00:00:49,840 Speaker 1: thought it was actually pretty great. I'm gonna tell you. 13 00:00:50,280 --> 00:00:53,200 Speaker 1: I am guarantee you did not pick the same one 14 00:00:53,760 --> 00:00:55,440 Speaker 1: as me this week, and I'll tell you why. It 15 00:00:55,480 --> 00:00:58,800 Speaker 1: involves a very nerdy hobby I've gotten into lately, you 16 00:00:58,880 --> 00:01:02,600 Speaker 1: never know, very saying you never know not the nerdiest hobby. 17 00:01:02,640 --> 00:01:04,080 Speaker 1: I'll tell you that. I was telling a friend about it. 18 00:01:04,120 --> 00:01:06,679 Speaker 1: I said, I've just gotten sucked into the nerdiest hobby 19 00:01:06,720 --> 00:01:08,800 Speaker 1: of all time and he goes, oh, are you Are 20 00:01:08,840 --> 00:01:13,600 Speaker 1: you grinding your own telescope lens? Oh? Okay, it was 21 00:01:13,640 --> 00:01:16,120 Speaker 1: so nerdy. I was offended, but but oddly intrigued, so 22 00:01:16,280 --> 00:01:18,920 Speaker 1: I might start grinding my own telescope lenses as well. 23 00:01:18,920 --> 00:01:21,480 Speaker 1: It's a thing, apparently all right, we'll be excited to 24 00:01:21,480 --> 00:01:24,000 Speaker 1: hear it. And remember, we have our very own Bloomberg 25 00:01:24,040 --> 00:01:26,440 Speaker 1: Podcast hotline. So if you guys want to share your 26 00:01:26,560 --> 00:01:30,360 Speaker 1: crazy market statistics or whatever it may be with us, 27 00:01:30,400 --> 00:01:32,360 Speaker 1: give us a call, leave us a message at six 28 00:01:32,480 --> 00:01:36,160 Speaker 1: or six three two four three four nine zero, and 29 00:01:36,240 --> 00:01:38,600 Speaker 1: we may even play it on the show. And of course, 30 00:01:38,600 --> 00:01:41,560 Speaker 1: our guests this week hopefully have some crazy things they 31 00:01:41,640 --> 00:01:44,280 Speaker 1: brought along with us. Uh first time on the show. 32 00:01:44,360 --> 00:01:48,360 Speaker 1: Joining us is Lauren Goodwin. She's an economist and multi 33 00:01:48,400 --> 00:01:52,240 Speaker 1: asset portfolio strategist at New York Life Investments. Lauren, welcome 34 00:01:52,280 --> 00:01:53,880 Speaker 1: to the show. Thanks so much for having me, and 35 00:01:53,880 --> 00:01:55,160 Speaker 1: I'm not gonna put you on the spot, but if 36 00:01:55,200 --> 00:01:57,280 Speaker 1: you do have any really nerdy hobbies, you know you 37 00:01:57,400 --> 00:02:00,920 Speaker 1: feel free to share them with us perfect anything. I'm 38 00:02:00,960 --> 00:02:04,560 Speaker 1: just I love watching monetary policy meetings, does that gal? 39 00:02:04,680 --> 00:02:10,160 Speaker 1: That's and also returning to the show is Bloomberg Opinion 40 00:02:10,160 --> 00:02:13,800 Speaker 1: technology columnist Shira Overday. Sure, I think your nerdiest hobby 41 00:02:13,840 --> 00:02:18,079 Speaker 1: is just reading ten K reports. Yeah, yeah at all though, right, 42 00:02:19,720 --> 00:02:22,120 Speaker 1: I think it's pretty normal for Bloomberg. Yeah right, right, 43 00:02:22,160 --> 00:02:23,800 Speaker 1: that's that's kind of the run of the mill hobby. 44 00:02:23,840 --> 00:02:25,880 Speaker 1: But uh, but learn let's start with you. I was 45 00:02:25,919 --> 00:02:28,440 Speaker 1: reading some of the notes you sent over, and uh, 46 00:02:28,560 --> 00:02:32,600 Speaker 1: one thing popped out at me immediately. You say there's 47 00:02:32,600 --> 00:02:37,280 Speaker 1: a chance U s yields could move into negative territory. Um, 48 00:02:37,480 --> 00:02:42,040 Speaker 1: don't dun't done? That is shocking. Uh, not entirely shocking. 49 00:02:42,040 --> 00:02:44,480 Speaker 1: I guess it's you know, of all the craziest things 50 00:02:44,480 --> 00:02:47,000 Speaker 1: we've seen in markets this year, that probably would not 51 00:02:47,040 --> 00:02:49,480 Speaker 1: be that crazy. But what it intrigued me is you 52 00:02:49,520 --> 00:02:52,200 Speaker 1: also said you think the FED is done after this 53 00:02:52,320 --> 00:02:54,800 Speaker 1: last rate cuts. So what takes what would take your 54 00:02:54,919 --> 00:02:58,320 Speaker 1: fields negative? If not the Feds sort of helping to 55 00:02:58,320 --> 00:03:00,720 Speaker 1: push them down. Well, the Fed's done for now, They're 56 00:03:00,720 --> 00:03:03,239 Speaker 1: not done for forever, but we can talk about that later. 57 00:03:03,280 --> 00:03:06,200 Speaker 1: I'll answer your question about yields, which is two major 58 00:03:06,320 --> 00:03:09,639 Speaker 1: things go into US yields. One of them is expectations 59 00:03:09,680 --> 00:03:12,520 Speaker 1: for the FED funds rate, which could go to zero, 60 00:03:12,600 --> 00:03:15,079 Speaker 1: would go to zero if we're in if we move 61 00:03:15,080 --> 00:03:17,800 Speaker 1: into recession in the US. The other thing is the 62 00:03:17,919 --> 00:03:21,160 Speaker 1: term premium. So that's just what investors expect to get 63 00:03:21,320 --> 00:03:23,480 Speaker 1: for taking the risk of holding a bond over cash 64 00:03:23,560 --> 00:03:28,000 Speaker 1: or any other cash like instrument. So what makes term 65 00:03:28,080 --> 00:03:31,320 Speaker 1: premiums zero or even negative as they've been in the 66 00:03:31,440 --> 00:03:35,480 Speaker 1: US even this year, are things like investor fears um 67 00:03:35,520 --> 00:03:38,320 Speaker 1: some of the concerns that we've seen about global growth, 68 00:03:38,360 --> 00:03:40,960 Speaker 1: trade wars, etcetera. And so if you see the U 69 00:03:41,080 --> 00:03:43,560 Speaker 1: s inch a little bit closer to recession and some 70 00:03:43,640 --> 00:03:46,119 Speaker 1: of these fears take hold, add it together you can 71 00:03:46,160 --> 00:03:50,400 Speaker 1: easily see US negative yields doesn't mean necessarily a negative 72 00:03:50,440 --> 00:03:53,760 Speaker 1: ten year yield. I also think that the the bar 73 00:03:53,960 --> 00:03:57,880 Speaker 1: for the Fed moving policy rates negative is high. That's 74 00:03:57,880 --> 00:04:00,480 Speaker 1: a completely different issue. But yields on this short end 75 00:04:00,600 --> 00:04:03,720 Speaker 1: totally possible. And that's intriating to me because of this 76 00:04:03,960 --> 00:04:07,600 Speaker 1: so much supply uh to fund the depth sit We're 77 00:04:07,640 --> 00:04:10,240 Speaker 1: looking at a potentially another chillion dollar depth sit in 78 00:04:10,560 --> 00:04:13,400 Speaker 1: every foreseeable year. A lot of that on that on 79 00:04:13,440 --> 00:04:15,480 Speaker 1: the short end. But you think, would it sort of 80 00:04:15,480 --> 00:04:18,480 Speaker 1: be that rush to cash money market mutual fund type 81 00:04:18,480 --> 00:04:21,800 Speaker 1: of situation that would that really crush the short end? Yeah, 82 00:04:21,880 --> 00:04:25,400 Speaker 1: you know, you just you can't get positive yield anywhere 83 00:04:25,440 --> 00:04:27,599 Speaker 1: in safe assets, and so it's really there is no 84 00:04:27,680 --> 00:04:30,920 Speaker 1: alternative type of story when you have um as we 85 00:04:30,960 --> 00:04:34,119 Speaker 1: do right now. Japanese insurance companies willing to move into 86 00:04:34,279 --> 00:04:37,080 Speaker 1: an investment grade, which is credit, even if it's if 87 00:04:37,080 --> 00:04:40,440 Speaker 1: it's investment grade credit, instead of being in these super 88 00:04:40,440 --> 00:04:44,880 Speaker 1: safe government securities, then moving into US super safe securities 89 00:04:44,960 --> 00:04:47,440 Speaker 1: makes a lot of sense. That can totally squeeze the frienend. 90 00:04:47,640 --> 00:04:49,880 Speaker 1: Let's back up the truck a little bit. So before 91 00:04:50,000 --> 00:04:53,480 Speaker 1: we were to potentially get to negative interest rates, you 92 00:04:53,480 --> 00:04:56,440 Speaker 1: would imagine that the data would have to worsen, maybe 93 00:04:56,440 --> 00:05:00,279 Speaker 1: the FED would go back to cutting once a again. 94 00:05:00,480 --> 00:05:03,400 Speaker 1: But for now, like you said, the FED is on hold. However, 95 00:05:03,839 --> 00:05:06,200 Speaker 1: the market is still pricing in rate cuts as soon 96 00:05:06,240 --> 00:05:10,320 Speaker 1: as next year. What is it that gets us to 97 00:05:10,800 --> 00:05:14,880 Speaker 1: that point? What brings that disconnect closer together? I think 98 00:05:14,920 --> 00:05:18,000 Speaker 1: it makes sense that the market is pricing in cuts 99 00:05:18,040 --> 00:05:20,520 Speaker 1: next year. We're on the last legs of this expansion. 100 00:05:20,720 --> 00:05:24,320 Speaker 1: The FED has bought us time. Some of the risk 101 00:05:24,480 --> 00:05:27,839 Speaker 1: on behavior, some of the risks that we've seen becoming 102 00:05:27,960 --> 00:05:30,440 Speaker 1: less pronounced also helps buy us a little bit of 103 00:05:30,440 --> 00:05:33,880 Speaker 1: time in investor world, that helps us rebalance our portfolios. 104 00:05:34,080 --> 00:05:37,440 Speaker 1: But we're looking at an economic cycle, and specifically a 105 00:05:37,440 --> 00:05:42,400 Speaker 1: company profit cycle that is just moving closer to recession. 106 00:05:42,680 --> 00:05:45,440 Speaker 1: And so while we're not calling for recession in the 107 00:05:45,480 --> 00:05:49,800 Speaker 1: next twelve months, in the twelve to eighteen um time period, 108 00:05:49,920 --> 00:05:54,960 Speaker 1: that's absolutely a likely scenario from from my perspective, And 109 00:05:55,000 --> 00:05:57,839 Speaker 1: so the Feds on pause for now, saying, look, until 110 00:05:57,880 --> 00:06:00,559 Speaker 1: we see that data deteriorate further, we're fine. They also 111 00:06:00,560 --> 00:06:02,760 Speaker 1: have seen over the course of the year, even before 112 00:06:02,800 --> 00:06:05,600 Speaker 1: they actually started cutting rates, some improvement in interest rates 113 00:06:05,680 --> 00:06:09,960 Speaker 1: sensitive indicators, just because folks expected it to come, um, 114 00:06:10,200 --> 00:06:13,640 Speaker 1: wait and see. But once we see um, the debt 115 00:06:13,640 --> 00:06:16,040 Speaker 1: burdens that companies are facing start to take hold, and 116 00:06:16,080 --> 00:06:20,080 Speaker 1: those profit margins really start to see, um, the pressure 117 00:06:20,200 --> 00:06:22,120 Speaker 1: that they've been under for the past couple of years. 118 00:06:22,160 --> 00:06:24,359 Speaker 1: Then then you start to see the FED getting worried again. 119 00:06:24,960 --> 00:06:28,039 Speaker 1: So uh, safe to describe you is not exactly bullish 120 00:06:28,120 --> 00:06:31,960 Speaker 1: these days that that is that is correct. We're um, 121 00:06:32,000 --> 00:06:34,920 Speaker 1: but but I will say strategically speaking, we're defensive in 122 00:06:34,960 --> 00:06:38,160 Speaker 1: our portfolios, so we invest for the long term. Most 123 00:06:38,200 --> 00:06:41,800 Speaker 1: of our investors are thinking about retirement or institutional clients 124 00:06:41,839 --> 00:06:45,200 Speaker 1: really thinking um in the in terms of years, not months. 125 00:06:45,480 --> 00:06:48,760 Speaker 1: So strategically speaking, we've moved more defensive. I'm glad you 126 00:06:48,760 --> 00:06:50,160 Speaker 1: brought that up by you read my mind. I was 127 00:06:50,200 --> 00:06:51,839 Speaker 1: going to ask you about that. You said, you know, 128 00:06:51,880 --> 00:06:55,920 Speaker 1: contrary to market moves, were holding tight on our defensive 129 00:06:56,080 --> 00:06:59,479 Speaker 1: portfolio positioning. This is a really fascinating topic to me 130 00:06:59,560 --> 00:07:01,760 Speaker 1: because is I've heard a lot of people say this, 131 00:07:02,600 --> 00:07:04,240 Speaker 1: but I'd like to unpack it a little bit what 132 00:07:04,279 --> 00:07:06,920 Speaker 1: you mean by defensive and I pick it up. I 133 00:07:07,320 --> 00:07:10,640 Speaker 1: was fascinated. I looked this week at the Investco Defensive 134 00:07:10,760 --> 00:07:12,840 Speaker 1: e t F, which is really done well is year 135 00:07:12,840 --> 00:07:17,240 Speaker 1: it's up, uh, you know, better than the SMP itself. 136 00:07:17,760 --> 00:07:20,239 Speaker 1: And I was thinking, well, when I think defensive, I think, Okay, 137 00:07:20,280 --> 00:07:23,840 Speaker 1: you're gonna buy Johnson Johnson, you're gonna buy utilities, You're 138 00:07:23,840 --> 00:07:27,520 Speaker 1: gonna buy those sort of state safe consumer staples. This 139 00:07:27,640 --> 00:07:31,200 Speaker 1: CTF is fascinating because, okay, healthcare is ten percent. That's 140 00:07:31,240 --> 00:07:35,720 Speaker 1: kind of uh classic defensive there. But of its other allocations, 141 00:07:36,360 --> 00:07:40,760 Speaker 1: um more than five percent is allocated to software, more 142 00:07:40,800 --> 00:07:43,680 Speaker 1: than five percent to electronics, more than five percent to 143 00:07:43,800 --> 00:07:46,920 Speaker 1: diversified financials, and we're than five percent to banks. So 144 00:07:47,000 --> 00:07:49,840 Speaker 1: more than ten percent of this quote unquote defensive e 145 00:07:49,960 --> 00:07:52,600 Speaker 1: t F is financial firms, which kind of blows my mind. 146 00:07:52,680 --> 00:07:55,000 Speaker 1: So that's all a long set up to just kind 147 00:07:55,000 --> 00:07:58,200 Speaker 1: of help us unpack what you mean by defensive m 148 00:07:59,160 --> 00:08:02,520 Speaker 1: A in the stock kid, obviously, but also outside of 149 00:08:02,520 --> 00:08:04,160 Speaker 1: the stock market, you know where sort of in the 150 00:08:04,200 --> 00:08:07,480 Speaker 1: treasury curve would you be looking at that sort of thing. Great, 151 00:08:07,480 --> 00:08:08,920 Speaker 1: you set up an A and B for me. That's 152 00:08:08,920 --> 00:08:13,920 Speaker 1: perfect in uh in in equities, defensive means and this 153 00:08:13,960 --> 00:08:15,920 Speaker 1: is UM. This is a story that's gotten a lot 154 00:08:15,920 --> 00:08:19,480 Speaker 1: of airtime. Frankly, UM it means high quality companies that 155 00:08:19,520 --> 00:08:23,480 Speaker 1: are making consistent earnings and they're consistently giving those earnings 156 00:08:23,480 --> 00:08:27,640 Speaker 1: back to sharedholders. It doesn't necessarily mean only yield, because 157 00:08:27,640 --> 00:08:31,160 Speaker 1: there can be dividend yield traps, but really security by security, 158 00:08:31,160 --> 00:08:34,960 Speaker 1: not even necessarily sector by sector, identifying the companies that 159 00:08:34,960 --> 00:08:37,200 Speaker 1: are going to return that value back to shareholders. From 160 00:08:37,200 --> 00:08:40,920 Speaker 1: an investor perspective, when you're expecting a more volatile environment, 161 00:08:41,000 --> 00:08:44,760 Speaker 1: that's that's safer. When you move outside of UM the 162 00:08:44,880 --> 00:08:50,640 Speaker 1: equity markets, defensive strategies generally include moving up in quality, 163 00:08:50,679 --> 00:08:53,520 Speaker 1: but where you've seen a big shift and move up 164 00:08:53,520 --> 00:08:55,560 Speaker 1: in quality like in high yield for example, you also 165 00:08:55,559 --> 00:08:58,240 Speaker 1: have to go shorter duration um and so those are 166 00:08:58,240 --> 00:09:01,839 Speaker 1: the general types of secure yours. Again, when you're expecting 167 00:09:02,640 --> 00:09:05,199 Speaker 1: um a lot of investor uncertainty, when you're near the 168 00:09:05,320 --> 00:09:08,760 Speaker 1: end of the profits cycle and you have high debtloads 169 00:09:08,800 --> 00:09:12,160 Speaker 1: within companies, you just have to be really uh secure. 170 00:09:12,360 --> 00:09:14,880 Speaker 1: So it's more what companies have the balance sheets with 171 00:09:14,960 --> 00:09:18,760 Speaker 1: standard recession rather than what companies are in industries that 172 00:09:18,880 --> 00:09:21,760 Speaker 1: tend not to be crushed by precisely, and in which 173 00:09:21,760 --> 00:09:23,880 Speaker 1: companies are going to pay you cash in the meantime. 174 00:09:23,960 --> 00:09:26,440 Speaker 1: Even within equities, right, it's not just fixed income, but 175 00:09:26,520 --> 00:09:29,000 Speaker 1: where where can you get a little bit of of 176 00:09:29,000 --> 00:09:31,960 Speaker 1: of carrie while you hold those equities? If, for example, 177 00:09:31,960 --> 00:09:34,120 Speaker 1: you don't think recession is right around the corner, so 178 00:09:34,280 --> 00:09:37,120 Speaker 1: bear with me. Then are we almost seeing a divergence 179 00:09:37,200 --> 00:09:39,720 Speaker 1: in the stock market because as you mentioned, you guys 180 00:09:39,720 --> 00:09:43,360 Speaker 1: are sticking with your defensive positioning. That counter to almost 181 00:09:43,400 --> 00:09:45,319 Speaker 1: what we've been seeing over the past couple of weeks 182 00:09:45,360 --> 00:09:49,120 Speaker 1: where we've started to see cyclicals outperforming, those classic bond 183 00:09:49,160 --> 00:09:53,160 Speaker 1: proxies like staples, like utilities like real estate underperforming, but 184 00:09:53,200 --> 00:09:55,200 Speaker 1: at the same time, it does seem as though all 185 00:09:55,240 --> 00:09:59,400 Speaker 1: of a sudden, investors really care about corporate profits, So 186 00:09:59,559 --> 00:10:03,640 Speaker 1: investor do care about quality to a sense? Do the 187 00:10:03,840 --> 00:10:07,480 Speaker 1: two go counter to one another? Do they actually fit together? Well, 188 00:10:07,520 --> 00:10:10,000 Speaker 1: we're in this part of the cycle that's really uncomfortable 189 00:10:10,000 --> 00:10:12,240 Speaker 1: when the data is mixed, and so, Um, if you 190 00:10:12,320 --> 00:10:14,520 Speaker 1: had a different guest on in ten minutes, they could 191 00:10:14,559 --> 00:10:16,800 Speaker 1: say the exact opposite of what I'm saying, and I 192 00:10:16,840 --> 00:10:22,079 Speaker 1: would think that they were reasonable. Um, what we're seeing is, uh, 193 00:10:22,120 --> 00:10:24,800 Speaker 1: we're laying in the cycle. We've already had two mid 194 00:10:24,840 --> 00:10:30,600 Speaker 1: cycle slowdowns, and so not only are the structural elements 195 00:10:30,640 --> 00:10:34,040 Speaker 1: of the economy we've talked about debt loads and profit margins, 196 00:10:34,040 --> 00:10:37,000 Speaker 1: not only are those creeping closer and closer to recession 197 00:10:37,120 --> 00:10:41,080 Speaker 1: like qualities, but also from a higher position than we've 198 00:10:41,080 --> 00:10:43,600 Speaker 1: been in the other two mid cycle slowdowns, and equity 199 00:10:43,679 --> 00:10:47,880 Speaker 1: prices have moved higher all along, and so you can 200 00:10:48,040 --> 00:10:53,520 Speaker 1: see as an investor short term cyclical opportunities. So, for example, 201 00:10:53,840 --> 00:10:57,600 Speaker 1: um risk has been such a factor in the markets 202 00:10:57,640 --> 00:10:59,920 Speaker 1: across the board this year and last year. When you 203 00:11:00,040 --> 00:11:02,760 Speaker 1: get a little bit of that risk, premium pulled off 204 00:11:02,880 --> 00:11:06,840 Speaker 1: because there's positive rumors about a trade deal, for example, 205 00:11:07,040 --> 00:11:10,160 Speaker 1: you can have a short term cyclical opportunity, and so 206 00:11:10,200 --> 00:11:12,959 Speaker 1: it does. It's not necessarily bifurcating. You're just playing sort 207 00:11:12,960 --> 00:11:15,199 Speaker 1: of a long game short game. And so what we do, 208 00:11:15,280 --> 00:11:18,720 Speaker 1: for example, when we're when we're making these more defensive shifts, 209 00:11:19,320 --> 00:11:23,240 Speaker 1: is um as we moved up in quality, quality gets expensive. 210 00:11:23,320 --> 00:11:25,920 Speaker 1: So when you start taking off a little bit of 211 00:11:26,640 --> 00:11:29,960 Speaker 1: high beta exposure at market highs, for example, or in 212 00:11:30,480 --> 00:11:32,520 Speaker 1: asset classes that we don't like as much, like high 213 00:11:32,600 --> 00:11:34,520 Speaker 1: yield or bankloads, you can use that cash to take 214 00:11:34,520 --> 00:11:38,880 Speaker 1: advantage of those short term cyclical opportunities without completely abandoning 215 00:11:39,080 --> 00:11:42,360 Speaker 1: your long term story, which is what which is, which 216 00:11:42,400 --> 00:11:45,320 Speaker 1: is where we're positioned right now. Sure, let's bring you 217 00:11:45,360 --> 00:11:49,680 Speaker 1: in here and switch gears from defensive to companies that 218 00:11:49,840 --> 00:11:55,560 Speaker 1: are perhaps offensive for various reasons. And and I'm thinking 219 00:11:55,640 --> 00:11:59,880 Speaker 1: of the facebooks, the alphabets, the twitters. We had a 220 00:12:00,320 --> 00:12:04,000 Speaker 1: whole lot of quote unquote fang type of companies report 221 00:12:04,640 --> 00:12:06,880 Speaker 1: over the last week or so. Is are there any 222 00:12:06,920 --> 00:12:11,560 Speaker 1: sort of common themes, common takeaways from the whole sort 223 00:12:11,559 --> 00:12:14,880 Speaker 1: of communications and tech sector earning season. I mean, it's 224 00:12:15,000 --> 00:12:17,640 Speaker 1: it's a little bit hard to draw generalities about the 225 00:12:17,679 --> 00:12:22,120 Speaker 1: tech sector in general because I think the big tech 226 00:12:22,160 --> 00:12:24,960 Speaker 1: companies that you mentioned, the sort of fangs or famis 227 00:12:25,559 --> 00:12:30,880 Speaker 1: whatever people call them, the Facebook fam, which is includes Microsoft. 228 00:12:30,920 --> 00:12:35,320 Speaker 1: I think that's the right fam um. So those large 229 00:12:35,400 --> 00:12:39,880 Speaker 1: five or six technology companies seem to be doing very well. 230 00:12:39,960 --> 00:12:43,559 Speaker 1: That growth for the most part has um continued at 231 00:12:43,600 --> 00:12:46,840 Speaker 1: a pretty good rate, albeit um has come down for 232 00:12:46,920 --> 00:12:50,600 Speaker 1: many of those companies. Again, the profit margins have come down, 233 00:12:50,600 --> 00:12:55,040 Speaker 1: but it's all relative, right. So Facebook this week reported earnings. 234 00:12:55,679 --> 00:12:58,320 Speaker 1: They are spending a lot more money. The growth rates 235 00:12:58,320 --> 00:13:02,200 Speaker 1: have come down, but we're still talking out growth um 236 00:13:02,320 --> 00:13:06,280 Speaker 1: year over year, and they're operating profit margins are about 237 00:13:07,120 --> 00:13:10,640 Speaker 1: So if you're talking about, you know, defensive kind of companies, 238 00:13:11,000 --> 00:13:13,880 Speaker 1: those giant tech companies start to look a little bit 239 00:13:13,920 --> 00:13:17,320 Speaker 1: more safe, I guess. But on the other hand, you 240 00:13:17,440 --> 00:13:21,080 Speaker 1: have these younger companies that are valued almost entirely on 241 00:13:21,120 --> 00:13:23,520 Speaker 1: their growth rates, and there it's a little bit of 242 00:13:23,559 --> 00:13:26,600 Speaker 1: a mixed bag. So again, we had grub Hub this 243 00:13:26,640 --> 00:13:32,000 Speaker 1: week that absolutely terrible and to me, the scary thing 244 00:13:32,040 --> 00:13:36,520 Speaker 1: about what grub Hub said was they feel like the 245 00:13:37,480 --> 00:13:40,600 Speaker 1: promise of that industry of kind of food delivery, the 246 00:13:40,720 --> 00:13:43,360 Speaker 1: on demand you push a button on an app and 247 00:13:43,360 --> 00:13:46,280 Speaker 1: get anything delivered to your home at almost no cost. 248 00:13:46,480 --> 00:13:48,920 Speaker 1: That they really think that that string is playing out, 249 00:13:48,960 --> 00:13:52,240 Speaker 1: that there is no way economically that there can be 250 00:13:52,320 --> 00:13:55,959 Speaker 1: multiple companies fighting each other to get something to your 251 00:13:55,960 --> 00:13:59,160 Speaker 1: house as fast and cheap as they possibly can. And 252 00:13:59,200 --> 00:14:02,880 Speaker 1: at the same time they feel like, um, the hyper 253 00:14:02,880 --> 00:14:07,120 Speaker 1: growth phase of that industry is pretty much over um, 254 00:14:07,160 --> 00:14:09,199 Speaker 1: which is kind of a scary one to punch. Is 255 00:14:09,440 --> 00:14:11,679 Speaker 1: it a word of attrition at this point in that space? 256 00:14:11,760 --> 00:14:14,640 Speaker 1: And that's what grubub thinks. And look, they're not wrong 257 00:14:14,760 --> 00:14:18,000 Speaker 1: that in the United States. I'll leave the overseas market 258 00:14:18,000 --> 00:14:19,560 Speaker 1: out of this, but in the United States you have 259 00:14:19,600 --> 00:14:24,240 Speaker 1: a number of companies that are all chasing the same restaurants, 260 00:14:24,280 --> 00:14:27,960 Speaker 1: the same diners, right, Uber Eats, Grubhub, door Dash, Postmates, 261 00:14:28,360 --> 00:14:31,840 Speaker 1: you can go on down the list and so um. Yeah, 262 00:14:31,920 --> 00:14:33,920 Speaker 1: there is a little bit of a of a war 263 00:14:34,000 --> 00:14:36,320 Speaker 1: of attrition going on. Lauren, I want to touch on 264 00:14:36,400 --> 00:14:39,720 Speaker 1: something that Shira said, and that's that somehow these big 265 00:14:39,760 --> 00:14:43,200 Speaker 1: tech companies start to look safer. Is this something that 266 00:14:43,240 --> 00:14:45,880 Speaker 1: comes up in discussion with you and your team. I mean, 267 00:14:45,960 --> 00:14:47,960 Speaker 1: I can say, I've heard many investors say to me 268 00:14:48,000 --> 00:14:52,000 Speaker 1: this year, oh well, now tech is defensive. It makes 269 00:14:52,000 --> 00:14:54,920 Speaker 1: a lot of sense to me. And if you think 270 00:14:54,960 --> 00:14:59,040 Speaker 1: even just in traditional economic terms, to say that the 271 00:14:59,080 --> 00:15:03,960 Speaker 1: model of not only economic growth but also company growth 272 00:15:04,040 --> 00:15:08,200 Speaker 1: and sustainable growth has changed from you know, when we're 273 00:15:08,320 --> 00:15:12,440 Speaker 1: more industrial or manufacturing focused, for example, so when we 274 00:15:12,440 --> 00:15:15,720 Speaker 1: were a year ago we were really holding out on 275 00:15:15,840 --> 00:15:18,080 Speaker 1: productivity in the US, that that we would that that 276 00:15:18,320 --> 00:15:20,480 Speaker 1: this would be what saved the economic cycle, and that 277 00:15:20,480 --> 00:15:23,920 Speaker 1: that we'd see investment translated into productivity. We haven't seen that. 278 00:15:24,320 --> 00:15:27,080 Speaker 1: But the main sort of core tenant of that argument 279 00:15:27,080 --> 00:15:30,040 Speaker 1: I think is absolutely still true, which is that these 280 00:15:30,120 --> 00:15:33,800 Speaker 1: big tech companies are the only ones investing in themselves 281 00:15:34,080 --> 00:15:36,840 Speaker 1: and so um an interesting thing to think about is 282 00:15:36,880 --> 00:15:39,240 Speaker 1: what is the next step? What is the investment strategy 283 00:15:39,280 --> 00:15:42,520 Speaker 1: of the future look like? And something I think is 284 00:15:42,600 --> 00:15:45,840 Speaker 1: really compelling there is companies that are investing not through 285 00:15:45,920 --> 00:15:47,920 Speaker 1: CAPEX or some of these indicators that we're used to 286 00:15:47,960 --> 00:15:51,440 Speaker 1: looking at, but op X. What are the logistics companies 287 00:15:51,680 --> 00:15:55,760 Speaker 1: that are investing in you know, next generation software to 288 00:15:55,840 --> 00:15:59,080 Speaker 1: make sure that the supply chains disruptions with China or 289 00:15:59,600 --> 00:16:01,960 Speaker 1: or EU up are are not an issue for their 290 00:16:02,040 --> 00:16:05,280 Speaker 1: for their profits. That's really interesting. That's a really interesting 291 00:16:05,320 --> 00:16:08,760 Speaker 1: type of sort of secure safe investment. I think that 292 00:16:08,800 --> 00:16:13,000 Speaker 1: this growth versus value, cyclical versus defensive sort of general 293 00:16:13,920 --> 00:16:17,200 Speaker 1: named indicasar are starting to break down. So I completely 294 00:16:17,200 --> 00:16:19,320 Speaker 1: agree with Serra, And just to say something a little 295 00:16:19,320 --> 00:16:21,880 Speaker 1: bit scary though, I will just point out that of 296 00:16:22,000 --> 00:16:25,280 Speaker 1: the giant tech companies that now seem a little bit safe, 297 00:16:26,520 --> 00:16:31,080 Speaker 1: almost without exception, and Microsoft is the exception. Um, those 298 00:16:31,120 --> 00:16:34,120 Speaker 1: companies haven't really lived through a recession, at least not 299 00:16:34,240 --> 00:16:37,640 Speaker 1: in their kind of current giant company status. So I 300 00:16:37,680 --> 00:16:41,680 Speaker 1: don't think we really know what Amazon looks like, for example, 301 00:16:42,200 --> 00:16:45,080 Speaker 1: in a recessionary period. And again, obviously they were around 302 00:16:45,080 --> 00:16:47,240 Speaker 1: in two thousand nine, two thousand ten, but they were 303 00:16:47,320 --> 00:16:51,560 Speaker 1: significantly smaller company, less sprawling, um e commerce was kind 304 00:16:51,560 --> 00:16:55,280 Speaker 1: of a significantly smaller share of US spending. So I 305 00:16:55,440 --> 00:16:59,680 Speaker 1: just I do not know what happens even to the biggest, safest, 306 00:17:00,200 --> 00:17:03,680 Speaker 1: most profitable giant tech companies in a recessionary environment. Well, 307 00:17:03,680 --> 00:17:06,879 Speaker 1: and you add the one more giant spooky element in 308 00:17:06,880 --> 00:17:09,080 Speaker 1: the room, which is the potential for regulation. And so 309 00:17:09,080 --> 00:17:13,120 Speaker 1: when we're talking about these specific big tech companies. Um, 310 00:17:13,160 --> 00:17:16,879 Speaker 1: the risks are are pronounced when it comes to um not. 311 00:17:17,040 --> 00:17:20,480 Speaker 1: This isn't just a political issue. This is a substantial 312 00:17:21,240 --> 00:17:25,520 Speaker 1: structural issue around inequality and data protection and really big 313 00:17:25,600 --> 00:17:27,480 Speaker 1: questions that I think are here to stay. And so 314 00:17:27,520 --> 00:17:29,959 Speaker 1: when we talk about these specific companies, they are surely 315 00:17:30,040 --> 00:17:32,800 Speaker 1: risks in the coming years. Um. When you're looking though 316 00:17:32,840 --> 00:17:51,680 Speaker 1: at at an investment, that's a that's a compelling story, Lauren. 317 00:17:51,720 --> 00:17:53,639 Speaker 1: I think you stole my notes because I was that 318 00:17:53,960 --> 00:17:56,000 Speaker 1: was my next segue, and I was going to give 319 00:17:56,000 --> 00:17:58,600 Speaker 1: a gratuitous plug to a story that Sarah worked on 320 00:17:59,080 --> 00:18:02,840 Speaker 1: this week about it's kind of becoming the big buzzy 321 00:18:02,960 --> 00:18:07,160 Speaker 1: zeitgeist on Wall Street now is the specter of possible 322 00:18:07,240 --> 00:18:10,399 Speaker 1: Elizabeth Warren presidency. I was like, which story are you 323 00:18:10,440 --> 00:18:18,280 Speaker 1: talking about? Remember you work? But and I wrote about 324 00:18:18,280 --> 00:18:21,440 Speaker 1: it to another gratuitous plug a couple of weeks ago. 325 00:18:21,520 --> 00:18:25,359 Speaker 1: But um, obviously Elizabeth Warren has everyone on Wall Street 326 00:18:25,400 --> 00:18:29,879 Speaker 1: freaked out and many people predicting this big bear market 327 00:18:30,000 --> 00:18:34,360 Speaker 1: if she should sort of ascend in the polls any further. Sure, 328 00:18:34,440 --> 00:18:36,560 Speaker 1: let's start with you, though I'm curious if her name 329 00:18:36,960 --> 00:18:39,919 Speaker 1: came up at all on any of the conference calls 330 00:18:40,040 --> 00:18:43,840 Speaker 1: or any of the analyst notes UM and Part B, 331 00:18:44,280 --> 00:18:46,600 Speaker 1: since if you guys will both accept A and B questions. 332 00:18:47,119 --> 00:18:49,800 Speaker 1: Part B, I'm just curious, how would you go about 333 00:18:49,840 --> 00:18:54,400 Speaker 1: breaking up, say a Facebook, an Alphabet, and an Amazon. 334 00:18:55,280 --> 00:18:59,480 Speaker 1: Um and would that necessarily be a negative for shareholders 335 00:18:59,480 --> 00:19:02,440 Speaker 1: in this company? You know? I'm thinking, wouldn't the SMPB 336 00:19:02,720 --> 00:19:05,560 Speaker 1: better off if it had a Google and uh, a 337 00:19:05,640 --> 00:19:10,040 Speaker 1: YouTube and an Instagram and an Amazon Cloud and an 338 00:19:10,040 --> 00:19:12,239 Speaker 1: Amazon retail I mean, you're talking about a lot of 339 00:19:12,280 --> 00:19:15,040 Speaker 1: sort of interesting businesses that would suddenly be their own companies? 340 00:19:15,080 --> 00:19:18,240 Speaker 1: What is what's the thinking on this from your world? Okay, 341 00:19:18,240 --> 00:19:22,040 Speaker 1: so now I have to do A and B. A. UM, Yes, 342 00:19:22,160 --> 00:19:26,760 Speaker 1: I think the regulation obviously is now I think a 343 00:19:26,840 --> 00:19:30,399 Speaker 1: regular part of reality for these companies. The sort of 344 00:19:30,440 --> 00:19:32,560 Speaker 1: difficult thing I think, both for the companies and for 345 00:19:32,640 --> 00:19:37,000 Speaker 1: investors honestly, is just it's impossible to know how this 346 00:19:37,080 --> 00:19:40,000 Speaker 1: plays out and how long it takes. Right, you're talking 347 00:19:40,000 --> 00:19:44,440 Speaker 1: about a federal, federal and state now antitrust investigations involving 348 00:19:44,520 --> 00:19:48,399 Speaker 1: basically all the giant tech companies with the exception of Microsoft, 349 00:19:48,760 --> 00:19:51,800 Speaker 1: And what if it takes ten years I don't know. 350 00:19:52,080 --> 00:19:54,280 Speaker 1: I don't know what happens. So it's one of these 351 00:19:54,359 --> 00:19:59,119 Speaker 1: kind of storm clouds, but it's unclear exactly how it 352 00:19:59,200 --> 00:20:02,000 Speaker 1: ends or how exactly to to play for it. Am 353 00:20:02,000 --> 00:20:04,000 Speaker 1: I the only one who finds it funny that Microsoft 354 00:20:04,080 --> 00:20:05,639 Speaker 1: is the one they're not talking about. Yes, it is 355 00:20:06,040 --> 00:20:08,399 Speaker 1: extremely I think if you had told like two thousand 356 00:20:08,560 --> 00:20:12,359 Speaker 1: ten Shia that there would be anti trust investigations and 357 00:20:12,400 --> 00:20:15,439 Speaker 1: Microsoft would be completely uninvolved, that they look like the 358 00:20:15,480 --> 00:20:18,399 Speaker 1: white hats and all this, it would seem preposterous spying 359 00:20:18,480 --> 00:20:21,479 Speaker 1: under the there we haven't such a part about actually 360 00:20:21,480 --> 00:20:24,280 Speaker 1: breaking these com plain about part B. I definitely have 361 00:20:24,400 --> 00:20:27,040 Speaker 1: seen the sell side analysts talking about, you know, we 362 00:20:27,080 --> 00:20:30,120 Speaker 1: think Facebook or would be more valuable or Google would 363 00:20:30,119 --> 00:20:32,119 Speaker 1: be more valuable if it were split in pieces. I 364 00:20:32,160 --> 00:20:36,160 Speaker 1: think that is nuts. Um that I mean, I can 365 00:20:36,200 --> 00:20:38,760 Speaker 1: go company by company, but if you think about a 366 00:20:38,800 --> 00:20:42,280 Speaker 1: company like Facebook, and I think the Elizabeth Warren types 367 00:20:42,320 --> 00:20:46,920 Speaker 1: who were talking about Facebook and antitrust, what they're talking 368 00:20:46,920 --> 00:20:50,679 Speaker 1: about largely is pulling out the companies that Facebook acquired 369 00:20:50,720 --> 00:20:53,679 Speaker 1: in the last ten years, so that's primarily Instagram and 370 00:20:53,760 --> 00:20:58,720 Speaker 1: WhatsApp and uh to say that Facebook is more valuable. 371 00:20:58,760 --> 00:21:02,080 Speaker 1: If you pull out those two companies is just bad. 372 00:21:02,280 --> 00:21:06,800 Speaker 1: It is wrong that, particularly on the usage side right um, 373 00:21:07,200 --> 00:21:11,120 Speaker 1: Instagram is the growth story for Facebook right now. It's 374 00:21:11,200 --> 00:21:15,480 Speaker 1: important with younger people, it's important with advertisers who want 375 00:21:15,520 --> 00:21:18,639 Speaker 1: to reach younger people. And what's app is also an 376 00:21:18,680 --> 00:21:23,639 Speaker 1: important element of Facebook's growth outside of North America in 377 00:21:23,760 --> 00:21:27,280 Speaker 1: countries like India, like the Middle East where what's app 378 00:21:27,359 --> 00:21:31,280 Speaker 1: is extremely popular. And look, Facebook hasn't successfully figured out 379 00:21:31,280 --> 00:21:34,320 Speaker 1: how to make money from what'sapp, but that's an asset 380 00:21:34,400 --> 00:21:37,760 Speaker 1: that has um more and we don't know exactly how many, 381 00:21:37,760 --> 00:21:40,480 Speaker 1: but more than a billion users worldwide, and that is 382 00:21:41,040 --> 00:21:44,679 Speaker 1: extremely valuable to Facebook and that's an extremely important part 383 00:21:44,760 --> 00:21:47,439 Speaker 1: of the investment thesis for Facebook. Lauren, what about your 384 00:21:47,480 --> 00:21:50,359 Speaker 1: guys take not on just the regulatory aspect and the 385 00:21:50,440 --> 00:21:52,960 Speaker 1: risks that poses not even just to the tech companies 386 00:21:52,960 --> 00:21:56,280 Speaker 1: but the market at large, but also just everything going 387 00:21:56,400 --> 00:22:00,359 Speaker 1: on in politics right now, whether it is impeachment, press eatings, 388 00:22:00,359 --> 00:22:03,399 Speaker 1: are looking forwards to the election. When you have the 389 00:22:03,480 --> 00:22:06,040 Speaker 1: likes of Paul Tutor Jones for example this past week 390 00:22:06,040 --> 00:22:08,200 Speaker 1: coming out and saying if it's if Elizabeth Warren wins 391 00:22:08,480 --> 00:22:11,760 Speaker 1: the SMP will drop. I mean, how can you even 392 00:22:11,800 --> 00:22:14,520 Speaker 1: go about making predictions like this or trying to at 393 00:22:14,600 --> 00:22:20,320 Speaker 1: least take these ideas and inform your investments. I'll make 394 00:22:20,359 --> 00:22:24,800 Speaker 1: a shameless plug for myself and that we UH wrote 395 00:22:25,119 --> 00:22:28,760 Speaker 1: a piece on political and geopolitical risk and portfolio management 396 00:22:28,800 --> 00:22:32,440 Speaker 1: and found that not only do investors UM and again 397 00:22:32,440 --> 00:22:35,520 Speaker 1: I'm I'm thinking investors for the medium or longer term 398 00:22:35,880 --> 00:22:40,399 Speaker 1: tend not to pay very close attention but probably shouldn't. Um, 399 00:22:40,680 --> 00:22:44,920 Speaker 1: we may maybe we get a sell off if Elizabeth 400 00:22:44,920 --> 00:22:48,160 Speaker 1: Warren gets the nomination or wins the election. We thought 401 00:22:48,280 --> 00:22:51,200 Speaker 1: the same thing about Donald Trump. UM, we don't know, 402 00:22:51,359 --> 00:22:54,159 Speaker 1: but and maybe we do. But the really what this 403 00:22:54,240 --> 00:22:58,560 Speaker 1: is about is looking past politics and towards policy, and 404 00:22:59,080 --> 00:23:02,720 Speaker 1: when it comes to the pace and likelihood that some 405 00:23:02,800 --> 00:23:05,680 Speaker 1: of these suggestions would be implemented, we know it's really 406 00:23:05,760 --> 00:23:08,200 Speaker 1: challenging to share his point. Maybe it takes ten years, 407 00:23:08,600 --> 00:23:12,199 Speaker 1: and so we have the enormous luxury of keeping a 408 00:23:12,280 --> 00:23:15,920 Speaker 1: pulse on things but not letting it impact our portfolio 409 00:23:15,960 --> 00:23:19,720 Speaker 1: management decisions until that policy again not politics, but policy 410 00:23:19,840 --> 00:23:24,639 Speaker 1: change actually should impact our portfolios. So in that sense, 411 00:23:25,280 --> 00:23:28,359 Speaker 1: UM trade even a year and a half ago, UH 412 00:23:28,560 --> 00:23:30,560 Speaker 1: flipped into our radar is something that we need to 413 00:23:30,600 --> 00:23:33,359 Speaker 1: monitor on an ongoing basis because it threatened companies and 414 00:23:33,359 --> 00:23:38,480 Speaker 1: it threatened the consumer. Right now, this the political situation, 415 00:23:38,520 --> 00:23:40,760 Speaker 1: whether it's the election or impeachment, etcetera in the US 416 00:23:40,880 --> 00:23:43,960 Speaker 1: doesn't impact companies, and so we we treat it as such. 417 00:23:45,359 --> 00:23:48,520 Speaker 1: Al Right, well, I think it's that time. I'm really 418 00:23:48,520 --> 00:23:50,320 Speaker 1: excited for years, Mike. I want to know what a 419 00:23:50,359 --> 00:23:53,840 Speaker 1: new nerdy thing. You're interesting nerdything. All right, well, let's 420 00:23:53,840 --> 00:23:57,800 Speaker 1: save mindful us. I want to build up the suspense. Sure, 421 00:23:57,880 --> 00:23:59,639 Speaker 1: let's start with you. I think you brought a crazy 422 00:23:59,640 --> 00:24:03,720 Speaker 1: thing along. Well. I was very surprised this week there 423 00:24:03,720 --> 00:24:06,800 Speaker 1: were news stories about Apple making a you know, a 424 00:24:06,880 --> 00:24:11,720 Speaker 1: pretty significant change in its UM strategy to one of 425 00:24:11,720 --> 00:24:15,840 Speaker 1: its important products. UM. So it emerged this week that 426 00:24:16,080 --> 00:24:19,000 Speaker 1: Apple is tiptoeing and what's been called kind of a 427 00:24:19,080 --> 00:24:23,760 Speaker 1: bundling strategy for its internet services that at least for students, 428 00:24:24,160 --> 00:24:27,160 Speaker 1: it's going to offer for five dollars a month UM. 429 00:24:27,200 --> 00:24:31,320 Speaker 1: Students can have a subscription to both Apple Music and 430 00:24:31,400 --> 00:24:35,680 Speaker 1: to Apple's upcoming TV Plus service, which is it's kind 431 00:24:35,680 --> 00:24:38,560 Speaker 1: of its answer to Netflix, a kind of web video 432 00:24:38,920 --> 00:24:41,679 Speaker 1: entertainment service. And the way that this came out was 433 00:24:41,760 --> 00:24:44,600 Speaker 1: not you know, Apple reported earnings and they announced this 434 00:24:44,720 --> 00:24:46,879 Speaker 1: or Tim Cook went on TV to talk about it. 435 00:24:46,960 --> 00:24:53,440 Speaker 1: Sarah No Hayley Steinfeld, who's an actress and singer. Um. 436 00:24:53,560 --> 00:24:57,679 Speaker 1: She put it in an Instagram story that this was 437 00:24:57,840 --> 00:25:01,800 Speaker 1: going to be a new policy change, at least an experiment. 438 00:25:02,359 --> 00:25:05,320 Speaker 1: That was That was the that was the first word 439 00:25:05,320 --> 00:25:07,280 Speaker 1: of this. This is the world we live in now. Yes, 440 00:25:07,520 --> 00:25:11,240 Speaker 1: she is a She's in Dickinson. She plays Emily Dickinson 441 00:25:11,400 --> 00:25:16,200 Speaker 1: in one of Apple's upcoming television series. So I guess 442 00:25:16,320 --> 00:25:19,119 Speaker 1: that's why she was chosen to make this announcement. But yes, 443 00:25:19,160 --> 00:25:21,600 Speaker 1: it's a strategist. Who do I need to follow these days? 444 00:25:22,560 --> 00:25:25,320 Speaker 1: What our investment strategy? I mean, I mean investors don't 445 00:25:25,359 --> 00:25:29,199 Speaker 1: just automatically get alerts for Hailey Steinfeld's Instagram stories. She 446 00:25:29,280 --> 00:25:31,800 Speaker 1: had a big hit on the radio. It wasn't It 447 00:25:31,880 --> 00:25:34,080 Speaker 1: wasn't called me maybe was it? No? No, No, She 448 00:25:34,280 --> 00:25:39,960 Speaker 1: she is a singer. She was in US. She was 449 00:25:39,960 --> 00:25:44,000 Speaker 1: in Bumblebee, the Transformers movie that no one saw in 450 00:25:44,040 --> 00:25:46,960 Speaker 1: the United States. That's pretty good that you're in the 451 00:25:47,040 --> 00:25:50,120 Speaker 1: lead so far. But well, I'm the only maybe Lauren 452 00:25:50,840 --> 00:25:54,240 Speaker 1: the lead, so I have to one is one is boring, 453 00:25:54,320 --> 00:25:58,240 Speaker 1: but real well, it is crazy to me. And this 454 00:25:58,280 --> 00:26:00,600 Speaker 1: is again a little bit of a plug for our perspective, 455 00:26:00,600 --> 00:26:03,919 Speaker 1: but it is crazy to me that recession probabilities are 456 00:26:03,960 --> 00:26:06,520 Speaker 1: reaching new cycle highs and we have equity markets at 457 00:26:06,520 --> 00:26:09,080 Speaker 1: all time highs. I think that's crazy. But I brought 458 00:26:09,080 --> 00:26:12,120 Speaker 1: a fun one because the point is not to be realistic. 459 00:26:12,680 --> 00:26:17,320 Speaker 1: UM In in the New York Life investments world, the 460 00:26:17,440 --> 00:26:21,120 Speaker 1: craziest conversation that happened this week is that UM New 461 00:26:21,200 --> 00:26:25,360 Speaker 1: York band flag raw and we have a lot of conversations. 462 00:26:25,359 --> 00:26:27,720 Speaker 1: One of our one of our portfolio managers is vegan 463 00:26:27,760 --> 00:26:34,720 Speaker 1: and one is a very eater, and so the conversation 464 00:26:34,760 --> 00:26:38,199 Speaker 1: around alternative food companies is robust. And so when we 465 00:26:38,280 --> 00:26:43,119 Speaker 1: saw this this policy change, we we lamented some of 466 00:26:43,119 --> 00:26:47,080 Speaker 1: the fancy New York French restaurants, but also the potential 467 00:26:47,200 --> 00:26:51,040 Speaker 1: for more alternative food companies. On the back of this, 468 00:26:53,200 --> 00:26:55,280 Speaker 1: I will say it's been been a rough week for 469 00:26:55,320 --> 00:27:00,280 Speaker 1: beyond curious. What your actuaries say about at you know, 470 00:27:00,440 --> 00:27:03,040 Speaker 1: is that gonna elongate people's lives that they eat less 471 00:27:03,119 --> 00:27:05,760 Speaker 1: fog gro You can get back close. Do we know 472 00:27:05,840 --> 00:27:11,040 Speaker 1: the reasoning fine behind a law change? I'm just curious. Um, 473 00:27:11,080 --> 00:27:14,640 Speaker 1: it's it's not very nice to geese, is I think? 474 00:27:14,680 --> 00:27:18,720 Speaker 1: So that's funny? This is our second craziest thing involving 475 00:27:19,080 --> 00:27:23,520 Speaker 1: mistreating geese. We had the Canadian Goose company. Apparently they 476 00:27:23,560 --> 00:27:25,880 Speaker 1: were beating their geese to get the feathers off them. 477 00:27:25,880 --> 00:27:29,320 Speaker 1: And there's always protesters in front of that story. Oh yes, always, 478 00:27:29,359 --> 00:27:31,959 Speaker 1: it's hard to be a goose. I guess yes. All right, sir, 479 00:27:32,040 --> 00:27:33,879 Speaker 1: I'm less confident that I'm going to win this week's 480 00:27:33,880 --> 00:27:36,400 Speaker 1: craziest thing. But what do you have? Maybe you can 481 00:27:36,680 --> 00:27:38,399 Speaker 1: talk to these guys. I don't think you really have 482 00:27:38,480 --> 00:27:40,400 Speaker 1: to worry about mines. Like I said, had a long week. 483 00:27:40,480 --> 00:27:42,600 Speaker 1: So what did I do to find my craziest thing? 484 00:27:42,680 --> 00:27:46,000 Speaker 1: I went to find some pharmaceutical company that had a 485 00:27:46,040 --> 00:27:50,840 Speaker 1: really great showing. So um, this company called I veric Bio. Granted, 486 00:27:51,000 --> 00:27:53,560 Speaker 1: even after the jump we saw this week, it's only 487 00:27:53,640 --> 00:27:57,320 Speaker 1: worth like three dollars or something of that sort of share, 488 00:27:57,800 --> 00:28:01,160 Speaker 1: but still they had one of their may main drugs, 489 00:28:01,320 --> 00:28:04,760 Speaker 1: mean one of the trials UH meet its primary endpoint. 490 00:28:04,960 --> 00:28:07,760 Speaker 1: Big deal for the company. Um, and not only did 491 00:28:07,800 --> 00:28:11,520 Speaker 1: we see the stock move eight two percent on Monday? 492 00:28:11,680 --> 00:28:15,520 Speaker 1: Then we saw another roughly jump on Tuesday, and a 493 00:28:15,640 --> 00:28:19,760 Speaker 1: sixty percent jump on Wednesday, So pretty crazy. The stock 494 00:28:19,800 --> 00:28:23,200 Speaker 1: is up somewhere around two this week, but then again 495 00:28:23,640 --> 00:28:27,160 Speaker 1: three dollars to share. So bio Pharma is a great 496 00:28:27,200 --> 00:28:30,080 Speaker 1: place to go looking for crazy. It really is. All right, 497 00:28:30,359 --> 00:28:33,440 Speaker 1: I'll give you mine and mine, which involves my nerdiest hobby. 498 00:28:33,520 --> 00:28:35,320 Speaker 1: I don't know if a lot of listeners realized, but 499 00:28:35,400 --> 00:28:38,120 Speaker 1: at Bloomberg we obviously talk a lot about stocks. We 500 00:28:38,120 --> 00:28:40,120 Speaker 1: don't do a lot of trading of stocks because of 501 00:28:40,200 --> 00:28:42,960 Speaker 1: various rules. You know, if I could talk about any 502 00:28:43,080 --> 00:28:45,520 Speaker 1: stock given stock on any given day, I shouldn't really 503 00:28:45,520 --> 00:28:49,560 Speaker 1: be investing in that stock obviously, But the rules do 504 00:28:49,640 --> 00:28:52,480 Speaker 1: not prevent me from speculating in another market. And that 505 00:28:52,600 --> 00:28:56,360 Speaker 1: Shira is the market for vintage bicycles, which and this 506 00:28:56,440 --> 00:28:58,680 Speaker 1: was apparently a very hipster thing to do, like in 507 00:28:58,720 --> 00:29:01,400 Speaker 1: Brooklyn about a decade ago. So I'm right on time. 508 00:29:01,800 --> 00:29:04,240 Speaker 1: This is my normal timing here to get involved in this. 509 00:29:05,320 --> 00:29:08,720 Speaker 1: It's a very uh, let's say, price discovery is very 510 00:29:08,720 --> 00:29:11,080 Speaker 1: difficult in this market because everyone thinks they're old bike 511 00:29:11,200 --> 00:29:14,320 Speaker 1: is worth a fortune. Um. So you'll see people put 512 00:29:14,440 --> 00:29:17,360 Speaker 1: up an old bike for five dollars and you know 513 00:29:17,440 --> 00:29:21,160 Speaker 1: it sells for a hundred dollars. So I found these Schwin, 514 00:29:21,520 --> 00:29:24,040 Speaker 1: these beautiful Schwin cruisers that I thought were from the 515 00:29:24,120 --> 00:29:28,360 Speaker 1: sixties or so on Facebook marketplace that's the main venue 516 00:29:28,400 --> 00:29:31,840 Speaker 1: for vintage bike nerds like myself. And the guy wanted 517 00:29:31,840 --> 00:29:34,400 Speaker 1: like two hundred for the pair of them. And these 518 00:29:34,400 --> 00:29:36,320 Speaker 1: things might be worth something if you scrub them up 519 00:29:36,320 --> 00:29:38,240 Speaker 1: and you got the rust off and everything, but in 520 00:29:38,280 --> 00:29:39,960 Speaker 1: the condition they were in, I was like, no way. 521 00:29:39,960 --> 00:29:42,959 Speaker 1: I said, um, sight on seeing I'll give you seventy 522 00:29:42,960 --> 00:29:46,520 Speaker 1: five for them. And we started haggling back and forth. 523 00:29:46,600 --> 00:29:48,360 Speaker 1: Eventually I said, look, I'll come and see them. If 524 00:29:48,400 --> 00:29:51,280 Speaker 1: I think they're worth more than seventy five, i'll i'll 525 00:29:51,280 --> 00:29:53,040 Speaker 1: give you, know, give it to you. So I get 526 00:29:53,040 --> 00:29:54,560 Speaker 1: there and I'm like, tell you what, I'll give you 527 00:29:54,560 --> 00:29:58,000 Speaker 1: a hundred bucks for two of them, okay, And he goes, 528 00:29:58,040 --> 00:30:00,360 Speaker 1: that's fair, and I said, that's fair, right, So fifty 529 00:30:00,360 --> 00:30:02,920 Speaker 1: dollars a piece I got uh these two bikes. I 530 00:30:02,920 --> 00:30:05,040 Speaker 1: went home and I looked them up. Nineteen sixty three 531 00:30:05,160 --> 00:30:10,040 Speaker 1: twins Uh coaster breaks as a friend of mine said, 532 00:30:10,040 --> 00:30:12,560 Speaker 1: the one looks like pee Wee Herman's bike from Pewee's 533 00:30:12,560 --> 00:30:15,320 Speaker 1: Big Adventure. But Sarah, this is all leading up to 534 00:30:15,320 --> 00:30:18,600 Speaker 1: the This is all leading up to the crazy part. Now, 535 00:30:19,040 --> 00:30:21,600 Speaker 1: remember I spent fifty dollars a piece on these bikes. 536 00:30:21,800 --> 00:30:24,320 Speaker 1: I'm gonna show you a page of the catalog from 537 00:30:24,320 --> 00:30:27,920 Speaker 1: the nineteen sixty three Swin company and look at the 538 00:30:27,960 --> 00:30:30,520 Speaker 1: circled number and and read how much that bike cost 539 00:30:30,560 --> 00:30:37,160 Speaker 1: in nineteen Good deal, and I paid fifty for it. 540 00:30:37,240 --> 00:30:40,440 Speaker 1: So I believe I've discovered the ultimate store of value 541 00:30:40,520 --> 00:30:48,280 Speaker 1: here is in nineteen sixty three is dead. It's pretty unbelievable, exactly. 542 00:30:48,880 --> 00:30:51,880 Speaker 1: Talk about an efficient market. Yeah, you win for narrative 543 00:30:51,960 --> 00:30:57,040 Speaker 1: value for sure. All right, I'll accept that, And you 544 00:30:57,120 --> 00:31:00,760 Speaker 1: got two bikes out of it. Can you write it 545 00:31:00,800 --> 00:31:07,800 Speaker 1: without dying. You're welcome in in Brooklyn anything, as long 546 00:31:07,800 --> 00:31:09,840 Speaker 1: as it's safe. It takes us a while in Jersey 547 00:31:09,840 --> 00:31:12,440 Speaker 1: to get the trends that you guys have in Brooklyn. Snow. Well, 548 00:31:12,480 --> 00:31:14,719 Speaker 1: now you've made it. Even if it's a decade later, 549 00:31:14,760 --> 00:31:17,840 Speaker 1: it's worth it the same price. But anyways, Lauren Goodwin, 550 00:31:17,960 --> 00:31:24,560 Speaker 1: Chierra Ovida, thank you so much. For joining us today 551 00:31:26,280 --> 00:31:29,240 Speaker 1: What Goes Up. We'll be back next week. Until then, 552 00:31:29,400 --> 00:31:32,040 Speaker 1: you can find us on the Bloomberg Terminal, website and app, 553 00:31:32,440 --> 00:31:35,160 Speaker 1: or wherever you get your podcasts. We love it if 554 00:31:35,160 --> 00:31:37,080 Speaker 1: you took the time to rate and review the show 555 00:31:37,120 --> 00:31:40,480 Speaker 1: on Apple Podcasts so more listeners can find us. And 556 00:31:40,640 --> 00:31:43,440 Speaker 1: you can find us on Twitter. Follow me at at 557 00:31:43,480 --> 00:31:47,240 Speaker 1: Sara Pontzack, Mike is at breg Anonymous, Our guest Lauren 558 00:31:47,280 --> 00:31:50,720 Speaker 1: Goodwin is at l E. Goodwin, and schira Ovi Day 559 00:31:50,920 --> 00:31:53,920 Speaker 1: is at schira Ovi Day. You can also follow Bloomberg 560 00:31:53,960 --> 00:31:58,560 Speaker 1: Podcasts at podcasts. What Goes Up is produced by Tofur Foreheads. 561 00:31:58,600 --> 00:32:01,920 Speaker 1: The head of Bloomberg podcast is Francesca Levie. Thanks for listening, 562 00:32:02,040 --> 00:32:02,840 Speaker 1: See you next time.