1 00:00:13,840 --> 00:00:17,440 Speaker 1: Hello, and welcome to What Goes Up, a weekly markets podcast. 2 00:00:17,640 --> 00:00:19,880 Speaker 1: My name is Mike Reagan. I'm a senior editor at 3 00:00:19,880 --> 00:00:23,680 Speaker 1: Bloomberg and I'm Aldana Higher across Asset reporter with Bloomberg. 4 00:00:24,320 --> 00:00:26,680 Speaker 1: And this week on the show, Well, as we record 5 00:00:26,760 --> 00:00:30,760 Speaker 1: this episode, the SMP five hundred is down from its 6 00:00:30,840 --> 00:00:34,800 Speaker 1: last record, since you closer to that threshold that marks 7 00:00:34,800 --> 00:00:37,920 Speaker 1: what most people considered to be a bear market. But 8 00:00:38,040 --> 00:00:41,360 Speaker 1: what's interesting is that what we're once considered the most 9 00:00:41,440 --> 00:00:44,880 Speaker 1: innovative companies and really the most profitable stocks to own, 10 00:00:44,920 --> 00:00:48,680 Speaker 1: are faring much worse. The NASDAC one hundred, for example, 11 00:00:48,840 --> 00:00:53,040 Speaker 1: is down almost So what exactly is it about our 12 00:00:53,040 --> 00:00:56,800 Speaker 1: current environment with red hot inflation and a sprint higher 13 00:00:56,800 --> 00:01:01,160 Speaker 1: in interest rate that is kryptonite for innovative niece and 14 00:01:01,160 --> 00:01:04,160 Speaker 1: what will take to make those types of stocks market leaders? Again, 15 00:01:04,720 --> 00:01:06,680 Speaker 1: we're going to get into it with the chief investment 16 00:01:06,720 --> 00:01:09,840 Speaker 1: officer for public equities at a major Wall Street acid 17 00:01:09,959 --> 00:01:13,360 Speaker 1: management firm. But first, Beltano, I have to say, I 18 00:01:13,440 --> 00:01:16,759 Speaker 1: hope you did not go around last week telling everyone 19 00:01:16,800 --> 00:01:20,080 Speaker 1: your high school nickname. Did you know? I haven't? Okay? Good? 20 00:01:20,120 --> 00:01:23,600 Speaker 1: Because as you know, that is a hot commodity and 21 00:01:23,680 --> 00:01:26,759 Speaker 1: podcast land. I think we've already gotten a few more 22 00:01:27,240 --> 00:01:31,760 Speaker 1: reviews on Apple podcast by holding out the promise of 23 00:01:31,800 --> 00:01:33,720 Speaker 1: your high school nickname. So I think if we get 24 00:01:33,760 --> 00:01:37,520 Speaker 1: to three and fifty ratings, we'll reveal it. Does that 25 00:01:37,560 --> 00:01:40,080 Speaker 1: sound good? So you're holding out one, You're you're letting 26 00:01:40,080 --> 00:01:42,919 Speaker 1: this drag out a little bit longer. Absolutely, yeah, Okay, 27 00:01:42,959 --> 00:01:46,160 Speaker 1: Well just let the record show and let the listeners 28 00:01:46,200 --> 00:01:48,720 Speaker 1: show that this was your idea to hold them hostage. 29 00:01:49,080 --> 00:01:51,200 Speaker 1: They know that, not mine. Yes, no, that I think 30 00:01:51,200 --> 00:01:54,600 Speaker 1: it's well known that any crazy scheme, any gimmick on 31 00:01:54,640 --> 00:01:57,320 Speaker 1: this show is usually my terrible idea, but it works, 32 00:01:57,360 --> 00:02:00,360 Speaker 1: and I will say it works. And uh so, go 33 00:02:00,440 --> 00:02:04,240 Speaker 1: on your Apple podcast app and give us a rating. 34 00:02:04,240 --> 00:02:06,560 Speaker 1: I'm not saying it has to be five stars, but 35 00:02:06,640 --> 00:02:10,600 Speaker 1: you know, hey, that's the highest rating. And give micro 36 00:02:10,680 --> 00:02:14,840 Speaker 1: rating and write us a review, right, maybe even suggest 37 00:02:14,880 --> 00:02:17,280 Speaker 1: new nicknames for us. Whatever it takes, well, we'll take it. 38 00:02:17,320 --> 00:02:19,280 Speaker 1: But that's the way that we sort of spread the 39 00:02:19,320 --> 00:02:22,399 Speaker 1: word about the podcast. Uh and and give listeners who 40 00:02:22,560 --> 00:02:25,959 Speaker 1: are just finding it on Apple a little hint at 41 00:02:26,880 --> 00:02:29,320 Speaker 1: what kind of show it is and how well received. 42 00:02:29,440 --> 00:02:31,600 Speaker 1: We're not well received it is. I don't know. I 43 00:02:31,600 --> 00:02:34,200 Speaker 1: don't know. We'll find out. Well, we'll see how well 44 00:02:34,240 --> 00:02:39,640 Speaker 1: this idea of yours to hold listeners hostage work. In 45 00:02:39,720 --> 00:02:43,200 Speaker 1: the meantime, I'm hoping we can hear from our guest 46 00:02:43,240 --> 00:02:46,560 Speaker 1: this week, Katie Koch. She's the chief investment Officer of 47 00:02:46,560 --> 00:02:49,840 Speaker 1: public equity at Goldman Sachs Asset Management, is joining us 48 00:02:49,840 --> 00:02:51,919 Speaker 1: this week. Katie, thank you so much for coming back 49 00:02:51,919 --> 00:02:53,919 Speaker 1: on the show. Oh, it's my pleasure to be here. 50 00:02:54,000 --> 00:02:58,160 Speaker 1: Thanks for having us. She came back and we didn't 51 00:02:58,160 --> 00:03:02,520 Speaker 1: even make her reveal any nicknames. Who's did you? Just 52 00:03:02,560 --> 00:03:04,960 Speaker 1: to start, we have this stat your team had sent 53 00:03:05,040 --> 00:03:07,760 Speaker 1: us over. They said that you manage something like twenty 54 00:03:07,760 --> 00:03:11,840 Speaker 1: billion dollars of tech slash innovation assets and yet at 55 00:03:11,880 --> 00:03:14,440 Speaker 1: the same time, we know that growth has been underforming 56 00:03:14,480 --> 00:03:16,200 Speaker 1: year today. So I was hoping you could talk to 57 00:03:16,240 --> 00:03:21,760 Speaker 1: us about this and tell us how you're thinking about it. Sure. Absolutely, um, 58 00:03:21,800 --> 00:03:24,800 Speaker 1: I will say. When I knew I needed to do 59 00:03:24,840 --> 00:03:27,200 Speaker 1: this podcast today, I wanted to start with some advice 60 00:03:27,280 --> 00:03:29,640 Speaker 1: to you guys. I think the podcast is called what 61 00:03:29,760 --> 00:03:35,800 Speaker 1: Goes Up, and it's it's a short less you might 62 00:03:35,840 --> 00:03:37,960 Speaker 1: want to you might want to rename it for for 63 00:03:38,080 --> 00:03:41,800 Speaker 1: the dear term, but at a very serious note, um 64 00:03:41,840 --> 00:03:46,200 Speaker 1: it Uh. We are big believers on investing client capital 65 00:03:46,280 --> 00:03:49,800 Speaker 1: into the innovation space. I did just want to impress 66 00:03:49,880 --> 00:03:53,520 Speaker 1: upon something that we've been saying for the last several years, 67 00:03:53,600 --> 00:03:56,360 Speaker 1: which is that we think when people step into these 68 00:03:56,440 --> 00:03:59,120 Speaker 1: innovation themes and we can unpack them in more detail, 69 00:03:59,440 --> 00:04:02,680 Speaker 1: they really needed to really need to be committed for 70 00:04:02,720 --> 00:04:04,840 Speaker 1: the long term. I don't I don't think any of 71 00:04:04,880 --> 00:04:07,560 Speaker 1: these things are tactical traits generally. I think it's really 72 00:04:07,560 --> 00:04:09,800 Speaker 1: tough the time to markets, but I think it's particularly 73 00:04:09,840 --> 00:04:13,160 Speaker 1: true and a lot of these high innovation areas. So 74 00:04:13,200 --> 00:04:15,360 Speaker 1: I do want to say that at the outset that 75 00:04:15,400 --> 00:04:18,640 Speaker 1: we think it's strategic, not tactical. Um. The second thing 76 00:04:18,640 --> 00:04:21,239 Speaker 1: that I would say is that I do think that 77 00:04:21,440 --> 00:04:26,200 Speaker 1: the dislocation has been very severe, particularly in public markets. UM. 78 00:04:26,440 --> 00:04:28,600 Speaker 1: Just you had asked earlier why that is. I mean, 79 00:04:28,600 --> 00:04:31,840 Speaker 1: the very basic explanation for that is that growth assets, 80 00:04:31,880 --> 00:04:34,680 Speaker 1: the cash flows or the furthest out, so they're kind 81 00:04:34,680 --> 00:04:37,960 Speaker 1: of the longest duration assets, if you will, and they're 82 00:04:38,000 --> 00:04:40,279 Speaker 1: the most hurt when it looks like rates are going 83 00:04:40,320 --> 00:04:43,120 Speaker 1: to rise, which is obviously the environment we're in UM 84 00:04:43,240 --> 00:04:45,279 Speaker 1: and so that was that's a big leg down of 85 00:04:45,360 --> 00:04:48,080 Speaker 1: most of the pain that's been experienced in in tech 86 00:04:48,680 --> 00:04:52,920 Speaker 1: UM and they're everything is correlated effectively to one UM 87 00:04:52,960 --> 00:04:56,599 Speaker 1: and so that's been a painful absolute return experience. But 88 00:04:56,680 --> 00:04:59,039 Speaker 1: we think people who are already in these assets should 89 00:04:59,040 --> 00:05:02,400 Speaker 1: have patients around it because eventually growth it will will 90 00:05:02,440 --> 00:05:05,400 Speaker 1: be in a world where growth is scarce UM and 91 00:05:05,400 --> 00:05:07,479 Speaker 1: and these assets should rerate on the back of that. 92 00:05:08,080 --> 00:05:10,359 Speaker 1: And if you don't think you have enough exposure to 93 00:05:10,440 --> 00:05:13,200 Speaker 1: this part of the market, I think the recent correction 94 00:05:13,480 --> 00:05:17,200 Speaker 1: actually provides some really compelling entry points to get exposure 95 00:05:17,279 --> 00:05:21,360 Speaker 1: to technology as a as a secular theme. So that's 96 00:05:21,400 --> 00:05:23,320 Speaker 1: kind of how I would think about it. Tech is 97 00:05:23,400 --> 00:05:26,080 Speaker 1: down at the moment, but it's not out. Don't give 98 00:05:26,160 --> 00:05:28,120 Speaker 1: up on it. And I'm very happy to go into 99 00:05:28,160 --> 00:05:30,039 Speaker 1: more detail in terms of why we think it's going 100 00:05:30,080 --> 00:05:33,000 Speaker 1: to work from here and what we like. That would 101 00:05:33,000 --> 00:05:35,200 Speaker 1: be great, Katie. I'd love to unpack that some more. 102 00:05:35,320 --> 00:05:37,360 Speaker 1: But I will say one thing that is going up 103 00:05:37,440 --> 00:05:42,320 Speaker 1: is interest rates, so we can talk about and that's 104 00:05:42,400 --> 00:05:47,040 Speaker 1: true and inflation of course too. There are some things 105 00:05:47,040 --> 00:05:49,039 Speaker 1: going up, just just not a lot in the innovation 106 00:05:49,120 --> 00:05:51,799 Speaker 1: space today, but there in lies the opportunity. I guess 107 00:05:52,320 --> 00:05:57,560 Speaker 1: I think I think blood pressure among portfolio management. But 108 00:05:57,800 --> 00:06:01,719 Speaker 1: I wanted to sort of get your ache on what 109 00:06:01,920 --> 00:06:06,919 Speaker 1: is so toxic about inflation and rising interest rates, specifically 110 00:06:06,920 --> 00:06:09,920 Speaker 1: for those long duration tech companies that that you mentioned. 111 00:06:09,920 --> 00:06:13,279 Speaker 1: I mean, we'll often here, sort of from the macro level, 112 00:06:13,320 --> 00:06:16,760 Speaker 1: a couple of reasons why rising rates are so bad. Obviously, 113 00:06:17,080 --> 00:06:19,720 Speaker 1: you know, if a company is heavy, heavily levered up 114 00:06:19,880 --> 00:06:22,680 Speaker 1: and has you know, to take on new debt, you know, 115 00:06:22,960 --> 00:06:25,640 Speaker 1: rolling over debt into higher interest rates, that that's an 116 00:06:25,680 --> 00:06:28,680 Speaker 1: obvious one. Also, you know, just the risk free rate 117 00:06:28,760 --> 00:06:31,920 Speaker 1: of the market and treasuries going higher sort of as 118 00:06:31,960 --> 00:06:35,000 Speaker 1: you point out, you know, is is really kind of 119 00:06:35,080 --> 00:06:38,520 Speaker 1: dangerous for those long duration assets. But yeah, I look 120 00:06:38,560 --> 00:06:40,640 Speaker 1: at the SMP five hundred at least as a whole, 121 00:06:40,680 --> 00:06:44,080 Speaker 1: and it seems like, you know, the leverage, the balance 122 00:06:44,160 --> 00:06:48,120 Speaker 1: sheets are are healthy, healthier than past years based on 123 00:06:48,200 --> 00:06:51,599 Speaker 1: most metrics. Now, your your debt to prize value or 124 00:06:51,640 --> 00:06:54,560 Speaker 1: your your debt to earnings ratios at any sort of 125 00:06:54,600 --> 00:06:56,960 Speaker 1: debt to fill in the blank ratio seems to be 126 00:06:57,320 --> 00:07:00,719 Speaker 1: fairly healthy. So is this all about that risk free rate. 127 00:07:00,760 --> 00:07:03,960 Speaker 1: You know, we can finally get three percent in treasuries, 128 00:07:04,240 --> 00:07:07,800 Speaker 1: and the assumption being that you know inflations, one day, 129 00:07:08,000 --> 00:07:09,880 Speaker 1: knock on what, we'll go back to two percent and 130 00:07:10,000 --> 00:07:13,160 Speaker 1: we'll get a positive reralio. Is that the main catalyst? 131 00:07:13,160 --> 00:07:16,600 Speaker 1: Do you think? I think that certainly plays a part 132 00:07:16,680 --> 00:07:19,400 Speaker 1: in what's happening here. Again, as rates go up, these 133 00:07:19,440 --> 00:07:22,200 Speaker 1: cash flows are further out. It puts pressure downward pressure 134 00:07:22,200 --> 00:07:25,560 Speaker 1: on these stocks. But it's not that in isolation. UM. 135 00:07:25,680 --> 00:07:29,360 Speaker 1: I'd say a second issue is just where evaluations were. 136 00:07:29,880 --> 00:07:35,040 Speaker 1: So valuations for broad equity markets UM were in their 137 00:07:35,120 --> 00:07:40,160 Speaker 1: high ninety percentile most expensive relative to history. You you 138 00:07:40,240 --> 00:07:42,640 Speaker 1: mentioned that the outset that equity markets have correct its 139 00:07:42,640 --> 00:07:45,720 Speaker 1: seventeen percent from the highs. Roughly it moves around a 140 00:07:45,720 --> 00:07:49,360 Speaker 1: little bit, but that's about true. And valuations are still 141 00:07:49,360 --> 00:07:53,720 Speaker 1: in their ninety most expensive percentile. So there's only two 142 00:07:53,800 --> 00:07:56,520 Speaker 1: things that can really drive equity markets, which is multiples 143 00:07:56,520 --> 00:08:01,280 Speaker 1: and learnings. And the multiples were already quite I demanding 144 00:08:02,400 --> 00:08:05,040 Speaker 1: mostly good news, and actually what we've gotten this mostly 145 00:08:05,080 --> 00:08:07,760 Speaker 1: bad news. So I think the valuations are certainly part 146 00:08:07,760 --> 00:08:10,680 Speaker 1: of it. So you have this this long duration issue 147 00:08:10,680 --> 00:08:14,160 Speaker 1: of cash flows working against you. You have the multiple 148 00:08:14,760 --> 00:08:18,920 Speaker 1: was too high, arguably broadly and intech specifically. And then 149 00:08:18,920 --> 00:08:20,720 Speaker 1: I think, you know, related to a lot of this 150 00:08:20,800 --> 00:08:24,640 Speaker 1: is the inflationary pressures and this dawning realization that the 151 00:08:24,760 --> 00:08:28,240 Speaker 1: central bank put is gone. Um. In other words, the 152 00:08:28,280 --> 00:08:31,080 Speaker 1: market kind of got used to the reality that when 153 00:08:31,080 --> 00:08:33,640 Speaker 1: things were difficult, the central bank would come in and 154 00:08:33,679 --> 00:08:38,280 Speaker 1: cut rates. But if they're actually forming another performing another 155 00:08:38,360 --> 00:08:41,280 Speaker 1: important test, which is trying to control and inflation, they're 156 00:08:41,320 --> 00:08:43,360 Speaker 1: less likely to do that in the absence of a 157 00:08:43,400 --> 00:08:45,920 Speaker 1: major recession. And so it's a combination of all of 158 00:08:45,960 --> 00:08:49,240 Speaker 1: those issues that are really weighing down on this part 159 00:08:49,240 --> 00:08:51,560 Speaker 1: of the market. But if you want to step in here, 160 00:08:51,760 --> 00:08:56,599 Speaker 1: because I think actually, ultimately this is a deeply secular opportunity. UM. 161 00:08:56,640 --> 00:08:59,280 Speaker 1: I had mentioned this to you guys, but the CEO 162 00:08:59,360 --> 00:09:02,640 Speaker 1: of Microsoft u uh Statta Dallas that on his call 163 00:09:02,800 --> 00:09:05,160 Speaker 1: he was being pushed on this very issue, the macro 164 00:09:05,280 --> 00:09:07,720 Speaker 1: environment stuff. How are you going to operate through this? 165 00:09:07,840 --> 00:09:09,520 Speaker 1: And he kind of gave an answer that was I 166 00:09:09,720 --> 00:09:12,199 Speaker 1: don't focus so much on that day to day because 167 00:09:12,240 --> 00:09:15,319 Speaker 1: over the next decade, tech is a percentage of GDP. 168 00:09:15,559 --> 00:09:18,160 Speaker 1: GDP spend rather is going to double. So there's an 169 00:09:18,240 --> 00:09:22,360 Speaker 1: incredible opportunity. And we know that company managements all over 170 00:09:22,400 --> 00:09:25,040 Speaker 1: the world are kind of continue to invest in innovation 171 00:09:25,240 --> 00:09:27,920 Speaker 1: just to survive and also to take market share, and 172 00:09:27,960 --> 00:09:30,560 Speaker 1: so this these things will work and they're gonna work really, 173 00:09:30,600 --> 00:09:33,720 Speaker 1: really well. Um, it's just at the moment we have 174 00:09:33,880 --> 00:09:36,679 Speaker 1: that has been dislocated. And as I said earlier, I 175 00:09:36,720 --> 00:09:38,880 Speaker 1: would think about that as an opportunity if you have, 176 00:09:39,360 --> 00:09:41,760 Speaker 1: if you have patient capital to come in and step 177 00:09:41,800 --> 00:09:44,840 Speaker 1: in here, um and and buy some of these assets. 178 00:09:44,880 --> 00:09:47,600 Speaker 1: I just think you have to be balanced. It's not 179 00:09:47,880 --> 00:09:49,880 Speaker 1: I have very little conviction on that on a twenty 180 00:09:49,920 --> 00:09:52,040 Speaker 1: four hour, one week, even a couple of months view. 181 00:09:52,080 --> 00:09:54,120 Speaker 1: I think it will work out over the long term, 182 00:09:54,160 --> 00:09:56,280 Speaker 1: but you have to be patient and you have to 183 00:09:56,320 --> 00:09:58,920 Speaker 1: be balanced about it. We are not, in my view, 184 00:09:59,400 --> 00:10:02,760 Speaker 1: going to have v shaped recovery like people might be 185 00:10:02,800 --> 00:10:05,479 Speaker 1: a recent data point in people's mind given the pandemic, 186 00:10:05,559 --> 00:10:07,839 Speaker 1: but that's not what we're set up for here. We're 187 00:10:07,920 --> 00:10:09,880 Speaker 1: kind of set up for the hard work of hopefully 188 00:10:09,920 --> 00:10:13,840 Speaker 1: stabilizing the multiple and these companies delivering earnings, and so 189 00:10:13,920 --> 00:10:16,520 Speaker 1: in my view, there will be strong recoveries and return 190 00:10:16,559 --> 00:10:19,840 Speaker 1: opportunities from here. UM, but it's going to take longer 191 00:10:19,920 --> 00:10:23,440 Speaker 1: for for that to be realized. Can you, Katie, maybe 192 00:10:23,559 --> 00:10:26,200 Speaker 1: narrow down that list for us? So what specifically are 193 00:10:26,240 --> 00:10:29,000 Speaker 1: you looking at, what are you finding attractive and maybe 194 00:10:29,000 --> 00:10:33,320 Speaker 1: what are you guys buying right now? So areas themes 195 00:10:33,360 --> 00:10:36,079 Speaker 1: that we've focused on, just because we're talking about innovation now. 196 00:10:36,120 --> 00:10:38,040 Speaker 1: I mean the way we do will do this is 197 00:10:38,120 --> 00:10:40,200 Speaker 1: we think about how is the world's going to change 198 00:10:40,600 --> 00:10:43,600 Speaker 1: over the next decade, what are the big themes and 199 00:10:43,640 --> 00:10:46,640 Speaker 1: then obviously trying to pick the right companies within those themes. 200 00:10:47,080 --> 00:10:50,000 Speaker 1: So the themes that we're focused on here is the 201 00:10:50,160 --> 00:10:54,080 Speaker 1: energy transition. UM. We also so this is you know 202 00:10:54,160 --> 00:10:57,400 Speaker 1: climate for example. UM. We also are interested in the 203 00:10:57,400 --> 00:11:00,240 Speaker 1: future of tex so the technology companies be on the 204 00:11:00,440 --> 00:11:03,760 Speaker 1: banks down the market cap around the world. UM. We 205 00:11:03,840 --> 00:11:07,720 Speaker 1: like the future disruptive future of of healthcare UM and 206 00:11:07,760 --> 00:11:10,800 Speaker 1: how that's going to change the world. Uh, the consumer, 207 00:11:11,320 --> 00:11:14,240 Speaker 1: particularly the millennial and Gen Z consumer. And then we're 208 00:11:14,280 --> 00:11:17,320 Speaker 1: invested in the real estate and infrastructure that will underpin 209 00:11:17,440 --> 00:11:21,320 Speaker 1: all of that. So those are some of the major themes. UM. 210 00:11:21,400 --> 00:11:23,679 Speaker 1: I wanted to come back to this point on on balance, 211 00:11:23,720 --> 00:11:25,160 Speaker 1: and then we can dig into any of those in 212 00:11:25,200 --> 00:11:28,040 Speaker 1: more detail. But I do think it is prudent. We 213 00:11:28,120 --> 00:11:30,200 Speaker 1: always believe this to be prudent. This is the reason 214 00:11:30,320 --> 00:11:32,920 Speaker 1: some of our thermatic strategies have have done better than 215 00:11:32,960 --> 00:11:35,920 Speaker 1: the peer group. It's always prudent to have some balance 216 00:11:35,960 --> 00:11:38,240 Speaker 1: in these strategies. So, yes, we like these themes, but 217 00:11:38,280 --> 00:11:40,760 Speaker 1: we don't have to just be in companies that are 218 00:11:40,840 --> 00:11:44,880 Speaker 1: growth at any price. We can own more expensive innovative companies, 219 00:11:44,920 --> 00:11:50,240 Speaker 1: for example, software a snowflake which still trades at twenty 220 00:11:50,280 --> 00:11:52,920 Speaker 1: times on e V two sales. These are bills despite 221 00:11:52,920 --> 00:11:56,440 Speaker 1: the correction rich multiples, but they're high growth companies. We 222 00:11:56,480 --> 00:11:59,640 Speaker 1: can own that in the future of tech alongside, for example, 223 00:11:59,720 --> 00:12:02,760 Speaker 1: something in the semi space which trades that much more 224 00:12:02,880 --> 00:12:07,600 Speaker 1: reasonable valuations discount to where it's been relative to the 225 00:12:07,679 --> 00:12:10,440 Speaker 1: last ten years in certain instances, and get that balance 226 00:12:10,480 --> 00:12:14,040 Speaker 1: in the portfolio between the high growth names um and 227 00:12:14,040 --> 00:12:17,400 Speaker 1: and some of those more value or cyclical oriented names. 228 00:12:17,400 --> 00:12:20,439 Speaker 1: And we do that really across every theme. In healthcare, 229 00:12:20,520 --> 00:12:23,040 Speaker 1: we own some of the medical device companies which are 230 00:12:23,040 --> 00:12:25,959 Speaker 1: more valuation grounded, and then we own stuff in the 231 00:12:26,000 --> 00:12:29,520 Speaker 1: genomic space, which is obviously very high growth oriented. So 232 00:12:29,600 --> 00:12:32,200 Speaker 1: we focus on the themes picked the companies and try 233 00:12:32,200 --> 00:12:34,360 Speaker 1: and have a balance within those themes of those high 234 00:12:34,440 --> 00:12:37,480 Speaker 1: growth companies along with some of the more cyclically exposed 235 00:12:37,559 --> 00:12:41,200 Speaker 1: value oriented names as well. You Know what I find 236 00:12:41,240 --> 00:12:44,920 Speaker 1: interesting when we talk about innovation, uh and what stocks 237 00:12:44,920 --> 00:12:47,800 Speaker 1: will benefit from that is we've almost had sort of 238 00:12:47,800 --> 00:12:50,080 Speaker 1: the opposite problem with those you know, you mentioned the 239 00:12:50,080 --> 00:12:53,640 Speaker 1: big fang companies you know. To me, you know, and 240 00:12:53,679 --> 00:12:56,319 Speaker 1: these companies just got so huge, you know, Apple at 241 00:12:56,440 --> 00:12:58,360 Speaker 1: what two and two and a half trillion whatever it 242 00:12:58,400 --> 00:13:02,199 Speaker 1: is at the moment. To me, Apple is kind of 243 00:13:02,320 --> 00:13:05,080 Speaker 1: uh struggling with innovation these days. You know, you've got 244 00:13:05,200 --> 00:13:07,600 Speaker 1: you've got the iPhone, you wait for that sort of 245 00:13:07,800 --> 00:13:12,280 Speaker 1: iPhone replacement cycle. You've got the mac uh, You've got 246 00:13:12,520 --> 00:13:17,160 Speaker 1: the services revenue is strong, um, but the promise of 247 00:13:17,240 --> 00:13:20,160 Speaker 1: sort of more innovation from from saying Apple, you know, 248 00:13:20,200 --> 00:13:22,800 Speaker 1: there was talk of them getting in the TVs or 249 00:13:23,280 --> 00:13:26,600 Speaker 1: automo electric vehicles. Um. And not just to pick on Apple, 250 00:13:26,640 --> 00:13:28,720 Speaker 1: but I feel like Amazon might be struggling with the 251 00:13:28,760 --> 00:13:32,719 Speaker 1: same thing. You know. Here, Amazon started by disrupting the 252 00:13:32,960 --> 00:13:37,000 Speaker 1: book industry, went on to disrupt every sort of retail 253 00:13:37,080 --> 00:13:39,559 Speaker 1: industry there is then I found a lot of growth 254 00:13:39,559 --> 00:13:43,120 Speaker 1: in the cloud business, but I feel like for you know, 255 00:13:43,200 --> 00:13:47,360 Speaker 1: a lot of these big companies, Facebook included, um, they've 256 00:13:47,400 --> 00:13:50,640 Speaker 1: sort of reached saturation. So you know, the question is, 257 00:13:50,640 --> 00:13:55,040 Speaker 1: when you're looking for innovation, does it really necessarily require 258 00:13:55,160 --> 00:13:58,880 Speaker 1: going down the ladder as far as market size and 259 00:13:58,920 --> 00:14:02,920 Speaker 1: finding you know, undiscovered sort of small cap stocks were 260 00:14:02,960 --> 00:14:05,120 Speaker 1: you know, is there a case to be made of 261 00:14:05,360 --> 00:14:07,880 Speaker 1: any of these companies sort of being leaders in innovation? Again, 262 00:14:08,280 --> 00:14:11,160 Speaker 1: I guess the one, you know, the one alluring thing 263 00:14:11,200 --> 00:14:14,479 Speaker 1: everyone likes to talk about is the metaverse, you know, withcebook. 264 00:14:14,720 --> 00:14:17,400 Speaker 1: I'm not sure anyone's buying that though you know the 265 00:14:17,520 --> 00:14:20,040 Speaker 1: the growth potential there, But how do you think about that? 266 00:14:20,120 --> 00:14:22,440 Speaker 1: I know this is a very long winned winted question, 267 00:14:22,480 --> 00:14:25,160 Speaker 1: which is my specialty, but how do you how do 268 00:14:25,200 --> 00:14:28,040 Speaker 1: you think about that notion of you know, the size 269 00:14:28,080 --> 00:14:31,640 Speaker 1: factor of a stock as it relates to their potential 270 00:14:31,680 --> 00:14:34,200 Speaker 1: to innovate and disrupt? Well, I mean, it's a it's 271 00:14:34,240 --> 00:14:36,440 Speaker 1: a hugely It may have been a long question, but 272 00:14:36,480 --> 00:14:39,640 Speaker 1: it's an important one too because these companies dominate a 273 00:14:39,720 --> 00:14:41,800 Speaker 1: lot of a lot of the market, right so we 274 00:14:41,840 --> 00:14:44,560 Speaker 1: have one percent of the number of companies taking up 275 00:14:44,600 --> 00:14:47,680 Speaker 1: still despite all of the movement out there, more than 276 00:14:48,480 --> 00:14:50,560 Speaker 1: the market cap, I will say, in a sign of 277 00:14:50,640 --> 00:14:54,880 Speaker 1: the times, UM, Apple is actually no longer the world's 278 00:14:54,880 --> 00:15:00,800 Speaker 1: most viable company. That changed if we exactly UM. But 279 00:15:01,000 --> 00:15:03,080 Speaker 1: big picture here's I want to make a couple of 280 00:15:03,080 --> 00:15:07,160 Speaker 1: big picture comments briefly about those top dominant companies and 281 00:15:07,240 --> 00:15:08,800 Speaker 1: kind of where we see them going from here, and 282 00:15:08,840 --> 00:15:10,840 Speaker 1: then I'm going to end with an argument that like, yeah, 283 00:15:10,840 --> 00:15:12,640 Speaker 1: I do think you need to own stuff well beyond 284 00:15:12,680 --> 00:15:15,840 Speaker 1: them and around the world, but in those in those 285 00:15:15,840 --> 00:15:19,040 Speaker 1: companies themselves, they you made up. You made the comment 286 00:15:19,160 --> 00:15:22,680 Speaker 1: around UM saturation. I mean, it's one way of looking 287 00:15:22,680 --> 00:15:26,960 Speaker 1: at They're also facing some regulatory challenges to UM. But 288 00:15:27,080 --> 00:15:28,960 Speaker 1: just looking at the long arc of history, if we 289 00:15:29,000 --> 00:15:32,560 Speaker 1: look at the ten largest companies twenty years ago UM 290 00:15:32,640 --> 00:15:35,320 Speaker 1: and then compare them to the ten today, there's actually 291 00:15:35,320 --> 00:15:38,479 Speaker 1: only two companies that are still on that list, Microsoft 292 00:15:38,560 --> 00:15:41,680 Speaker 1: one of them. UM. The other eight went on to 293 00:15:41,800 --> 00:15:45,040 Speaker 1: destroy close to four hundred billion dollars of market cap 294 00:15:45,240 --> 00:15:49,520 Speaker 1: during a great bull market for equities. So I kind 295 00:15:49,560 --> 00:15:51,760 Speaker 1: of look at it and think a lot about and 296 00:15:51,800 --> 00:15:55,560 Speaker 1: our team does the creative destruction. How difficult it is 297 00:15:56,080 --> 00:15:59,320 Speaker 1: for those companies to stay persistently amongst the largest companies 298 00:15:59,320 --> 00:16:00,640 Speaker 1: in the world for some of the reasons that you 299 00:16:00,720 --> 00:16:03,520 Speaker 1: just outlined in terms of the challenges that they are facing. 300 00:16:04,160 --> 00:16:06,880 Speaker 1: So that is a reason we think people need to 301 00:16:06,960 --> 00:16:10,400 Speaker 1: diversify away from those companies to find the future winners 302 00:16:10,400 --> 00:16:12,160 Speaker 1: that will be able, that that are going to show 303 00:16:12,240 --> 00:16:14,000 Speaker 1: up on that list, because obviously that's one of the 304 00:16:14,040 --> 00:16:18,240 Speaker 1: great ways to create wealth. I would just balance those comments. Um, 305 00:16:18,280 --> 00:16:20,520 Speaker 1: we do own some of those large incumbents, not all 306 00:16:20,560 --> 00:16:22,800 Speaker 1: of them, but we take positions in some of them 307 00:16:22,800 --> 00:16:26,920 Speaker 1: because you can't forget, particularly an environment like this, how 308 00:16:26,960 --> 00:16:30,720 Speaker 1: incredibly strong the balance sheets of these companies are. And 309 00:16:30,760 --> 00:16:34,280 Speaker 1: when you're sitting in thirty fifty hundred in some cases 310 00:16:34,360 --> 00:16:37,520 Speaker 1: more billion dollars of cash on the balance sheet, that 311 00:16:37,600 --> 00:16:40,600 Speaker 1: gives you clearly the ability to navigate an uncertain environment, 312 00:16:40,680 --> 00:16:45,600 Speaker 1: but also the ability to buy or invest in the 313 00:16:45,640 --> 00:16:48,400 Speaker 1: next big thing you talked about metaverse wolves. Facebook can 314 00:16:48,440 --> 00:16:51,160 Speaker 1: do that because they're highly free cash flow generative, and 315 00:16:51,160 --> 00:16:53,560 Speaker 1: they have thirty billion dollars of cash on the balance sheet, 316 00:16:53,880 --> 00:16:56,080 Speaker 1: and they were able to get into the next property 317 00:16:56,120 --> 00:16:59,280 Speaker 1: which was UM you know, for example, Instagram, because they 318 00:16:59,280 --> 00:17:01,080 Speaker 1: were able to buy that. So I just think you've 319 00:17:01,080 --> 00:17:03,200 Speaker 1: got to take into account that they have a lot 320 00:17:03,200 --> 00:17:07,120 Speaker 1: of firepower UM to navigate a difficult environment and also 321 00:17:07,240 --> 00:17:09,679 Speaker 1: to get on the right side of innovation and disruption. 322 00:17:10,000 --> 00:17:12,639 Speaker 1: The question is whether or not they have the management 323 00:17:12,640 --> 00:17:16,160 Speaker 1: team UM and the execution capability to continue to do that. 324 00:17:16,240 --> 00:17:18,440 Speaker 1: And it's true vent true over time that not all 325 00:17:18,480 --> 00:17:20,080 Speaker 1: of them do it. So you've got to be selective 326 00:17:20,119 --> 00:17:23,080 Speaker 1: about that. Pick your spots and those big companies, but 327 00:17:23,200 --> 00:17:27,600 Speaker 1: definitely diversify U into the future leaders UM. And then 328 00:17:27,640 --> 00:17:31,080 Speaker 1: in addition to that, looking around the world because UM, 329 00:17:31,400 --> 00:17:34,159 Speaker 1: because of the ubiquity of cloud and five G, a 330 00:17:34,160 --> 00:17:36,200 Speaker 1: lot of these companies are going to be actually found 331 00:17:36,359 --> 00:17:39,199 Speaker 1: outside of Silicon Valley and outside the US. It's the 332 00:17:39,240 --> 00:17:41,679 Speaker 1: markets not showing us that right now because some of 333 00:17:41,720 --> 00:17:44,320 Speaker 1: those companies are are facing a lot of pressure on 334 00:17:44,359 --> 00:17:46,280 Speaker 1: a day to day basis, but they are going to 335 00:17:46,359 --> 00:17:48,879 Speaker 1: be disruptive and they may be the future winners. And 336 00:17:48,920 --> 00:17:52,160 Speaker 1: that growth, by the way, is actually very much on sale. 337 00:17:52,200 --> 00:17:55,679 Speaker 1: The growth rates are higher clearly outside of the big incumbents. 338 00:17:55,960 --> 00:17:58,600 Speaker 1: And right now, if you took the highest quintile growth 339 00:17:58,920 --> 00:18:02,879 Speaker 1: and the lowest quintile growth. It has the tightest valuation 340 00:18:03,000 --> 00:18:05,760 Speaker 1: compression that we've had in a very very long time. 341 00:18:05,800 --> 00:18:08,080 Speaker 1: In other words, you don't right now have to pay 342 00:18:08,119 --> 00:18:11,280 Speaker 1: a big premium to get into the growthier parts of tech. 343 00:18:11,480 --> 00:18:13,800 Speaker 1: And I'll end by saying there's lots of stuff we 344 00:18:13,840 --> 00:18:17,520 Speaker 1: like and are excited about outside of the things, including stemmies, 345 00:18:17,560 --> 00:18:20,879 Speaker 1: which we talked about briefly, software, and then also cyber 346 00:18:20,920 --> 00:18:23,320 Speaker 1: which we haven't mentioned, but we think is an incredible 347 00:18:23,400 --> 00:18:25,520 Speaker 1: space with actually a big tail one because of the 348 00:18:25,600 --> 00:18:36,240 Speaker 1: current geopolitical tension. Katie, I remember when COVID first broke 349 00:18:36,280 --> 00:18:38,280 Speaker 1: out a couple of years ago, you and I ended 350 00:18:38,320 --> 00:18:40,520 Speaker 1: up talking and you told me all about the names 351 00:18:40,560 --> 00:18:43,080 Speaker 1: that you were looking at. You know, you mentioned, you know, 352 00:18:43,240 --> 00:18:46,119 Speaker 1: the future of things, and you were talking about this 353 00:18:46,200 --> 00:18:49,239 Speaker 1: post COVID world, and back then you said you had 354 00:18:49,280 --> 00:18:51,840 Speaker 1: been looking at companies that were heavily discounted, and you 355 00:18:51,920 --> 00:18:56,639 Speaker 1: were looking also at back to workplace leading childcare names 356 00:18:56,640 --> 00:18:59,960 Speaker 1: focused on services, spending and stuff that's fun. I think 357 00:19:00,119 --> 00:19:02,919 Speaker 1: you had said, so what do you what do you 358 00:19:02,960 --> 00:19:06,560 Speaker 1: make of of those types of companies at this point? Yeah, 359 00:19:06,640 --> 00:19:09,919 Speaker 1: So people like to have fun. That's a pretty pretty 360 00:19:09,920 --> 00:19:14,480 Speaker 1: persistent theme through different economic cycles, and that we like 361 00:19:14,680 --> 00:19:19,320 Speaker 1: things in the real economy. Um, And having fun is 362 00:19:19,320 --> 00:19:22,479 Speaker 1: related to the consumer the right now. Data on the 363 00:19:22,480 --> 00:19:26,159 Speaker 1: consumer is very strong. We ingest credit card data all 364 00:19:26,240 --> 00:19:28,520 Speaker 1: day every day like many of our peers. In addition 365 00:19:28,560 --> 00:19:30,919 Speaker 1: to running a fundamental business, if we're talking about a 366 00:19:30,920 --> 00:19:32,639 Speaker 1: lot here, I have the privilege of also running a 367 00:19:32,680 --> 00:19:34,680 Speaker 1: quant business where we ingest a lot of that data 368 00:19:34,680 --> 00:19:37,080 Speaker 1: and I can tell you across all metrics, the consumer, 369 00:19:37,119 --> 00:19:40,880 Speaker 1: particularly the US consumer, looks very strong. Um. We are 370 00:19:41,000 --> 00:19:45,320 Speaker 1: preparing portfolios for a world in which that consumer may 371 00:19:45,359 --> 00:19:48,040 Speaker 1: weaken because of some of the macro stresses that we've 372 00:19:48,080 --> 00:19:51,840 Speaker 1: already talked about here, inflation being at the top of 373 00:19:52,040 --> 00:19:55,439 Speaker 1: the top of that list. Um. And so what does 374 00:19:55,480 --> 00:19:57,119 Speaker 1: that mean as it relates to some of the ideas 375 00:19:57,119 --> 00:19:59,000 Speaker 1: that you just brought up, and also this concept of 376 00:19:59,040 --> 00:20:01,880 Speaker 1: having fun. If you're in the right part of having fun, 377 00:20:01,920 --> 00:20:05,760 Speaker 1: it can actually be recession resistant. So there's parts of 378 00:20:05,840 --> 00:20:08,919 Speaker 1: the consumer basket the come under pressure during a recession, 379 00:20:09,040 --> 00:20:11,560 Speaker 1: and and and travel for example, might be one of those. 380 00:20:11,760 --> 00:20:15,160 Speaker 1: But we like affordable experiences because we do think that 381 00:20:15,200 --> 00:20:20,080 Speaker 1: this millennial preference for experience over things is incredibly persistent UM, 382 00:20:20,240 --> 00:20:23,240 Speaker 1: and so we lean into those experiences, but more affordable 383 00:20:23,280 --> 00:20:26,800 Speaker 1: experiences in the event that the macro environment deteriorates. And so, 384 00:20:26,880 --> 00:20:30,800 Speaker 1: for example, we have exposure to concert companies both here 385 00:20:30,800 --> 00:20:33,040 Speaker 1: in the US as well as in Europe. UM. So 386 00:20:33,080 --> 00:20:35,680 Speaker 1: in the US we own Live Nation, for example, because 387 00:20:35,720 --> 00:20:42,720 Speaker 1: Beyonce is the ultimately recession resistant UM and and maybe 388 00:20:42,720 --> 00:20:44,879 Speaker 1: that's so many things, but that too. But then in 389 00:20:45,119 --> 00:20:48,160 Speaker 1: addition to that would be a category like beauty UM, 390 00:20:48,480 --> 00:20:51,000 Speaker 1: which can do well when times are good and also 391 00:20:51,080 --> 00:20:53,520 Speaker 1: shows a lot of resilience UM even if you get 392 00:20:53,520 --> 00:20:56,480 Speaker 1: into an economic correction. So we do own parts of 393 00:20:56,480 --> 00:20:59,359 Speaker 1: the real economy for sure. That comes back to having 394 00:20:59,359 --> 00:21:02,359 Speaker 1: balance in the portfolio. On the consumer rights say, we 395 00:21:02,359 --> 00:21:04,520 Speaker 1: do have exposure, but we're trying to make sure that 396 00:21:04,560 --> 00:21:07,480 Speaker 1: we are eyes wide open about some of the downward 397 00:21:07,480 --> 00:21:13,600 Speaker 1: pressure they may face down the road. Beyonce is recession resistant. 398 00:21:13,600 --> 00:21:17,440 Speaker 1: I think we found our headline there for the specific 399 00:21:17,520 --> 00:21:19,720 Speaker 1: on that is that like just to to give data, 400 00:21:19,800 --> 00:21:22,080 Speaker 1: So it sounds like a flipping comment, but this company 401 00:21:22,119 --> 00:21:24,320 Speaker 1: Live Nation, if you looked at ticket sales back and 402 00:21:24,520 --> 00:21:28,840 Speaker 1: oh eight UM they actually never went went negative. Uh 403 00:21:28,960 --> 00:21:31,879 Speaker 1: So the consumer will will spend in a recession, you 404 00:21:31,880 --> 00:21:34,320 Speaker 1: just have to be they'll be quite selective in terms 405 00:21:34,320 --> 00:21:37,040 Speaker 1: of what they spend on. And then the other thing 406 00:21:37,040 --> 00:21:39,000 Speaker 1: I would the other thing I would say, just from 407 00:21:39,160 --> 00:21:41,800 Speaker 1: being an importance of being global, is that another place 408 00:21:41,840 --> 00:21:45,080 Speaker 1: where you can find some interesting consumer names or or 409 00:21:45,720 --> 00:21:48,120 Speaker 1: even consumer names around the world with exposure to this 410 00:21:48,600 --> 00:21:52,560 Speaker 1: um would be China, which is obviously in a very 411 00:21:52,560 --> 00:21:55,960 Speaker 1: tough situation at the moment, which has been reflected into 412 00:21:56,000 --> 00:21:59,680 Speaker 1: equity prices, with effectively a third of the productive capacity. 413 00:21:59,720 --> 00:22:01,600 Speaker 1: How there's different ways of looking at it. But of 414 00:22:01,680 --> 00:22:04,760 Speaker 1: China being closed that is putting pressure on supply chains, 415 00:22:04,760 --> 00:22:07,760 Speaker 1: which is obviously coming through in the CPI print. But 416 00:22:07,840 --> 00:22:11,720 Speaker 1: it also the consumer has then quite weak clearly since 417 00:22:11,760 --> 00:22:16,280 Speaker 1: many of them are under zero COVID policy lockdowns. I 418 00:22:16,480 --> 00:22:18,960 Speaker 1: don't I'm not a macro person, and I don't think 419 00:22:19,000 --> 00:22:23,000 Speaker 1: we have a big edge on calling near term macro um. 420 00:22:22,680 --> 00:22:25,880 Speaker 1: I am highly convicted that China will once again reopen. 421 00:22:25,960 --> 00:22:28,920 Speaker 1: That's one thing I can say with great degree of certainty, 422 00:22:28,960 --> 00:22:31,440 Speaker 1: because it's not possible to run an economy that way 423 00:22:31,480 --> 00:22:34,320 Speaker 1: long term, and it would create instability, and we're hoping 424 00:22:34,480 --> 00:22:36,639 Speaker 1: to see more movement towards that as we reach the 425 00:22:36,640 --> 00:22:39,199 Speaker 1: twentieth Party Congress in the fall. And I think you 426 00:22:39,240 --> 00:22:41,760 Speaker 1: can buy assets here in the US as well as 427 00:22:41,920 --> 00:22:45,720 Speaker 1: assets in China that are overly discounted for something that 428 00:22:45,760 --> 00:22:48,000 Speaker 1: we know is eventually going to work out, which is 429 00:22:48,000 --> 00:22:52,160 Speaker 1: that the economy will reopen. So, for example, luxury Goods 430 00:22:52,160 --> 00:22:54,760 Speaker 1: sector and LVM Major or a Montclair are names that 431 00:22:54,800 --> 00:22:57,920 Speaker 1: we own that we think are being overly discounted UM 432 00:22:57,960 --> 00:23:00,160 Speaker 1: and that because we know that the Chinese consumer will 433 00:23:00,200 --> 00:23:02,320 Speaker 1: come back, we actually had the pattern recognition on that 434 00:23:02,480 --> 00:23:06,280 Speaker 1: established because we've seen the consumer globally come back and 435 00:23:06,320 --> 00:23:10,199 Speaker 1: buy in the luxury space UM after previous lockdowns. And 436 00:23:10,240 --> 00:23:15,199 Speaker 1: actually luxury is also somewhat counterintuitively has some protection and 437 00:23:15,240 --> 00:23:18,600 Speaker 1: recessions too, because that segment of the consumer um gets 438 00:23:18,960 --> 00:23:22,640 Speaker 1: gets gets let's hit. So all the sort of delisting 439 00:23:23,440 --> 00:23:27,320 Speaker 1: concerns and the sort of trade tensions, the lingering trade tis, 440 00:23:27,359 --> 00:23:29,440 Speaker 1: they don't they don't scare you away from China at all. 441 00:23:30,119 --> 00:23:33,680 Speaker 1: I think those are real concerns. There's there's the lockdown, 442 00:23:34,240 --> 00:23:38,679 Speaker 1: there's the potential for d listings, there's the regulation, the 443 00:23:38,720 --> 00:23:42,520 Speaker 1: tech regulation, and then there's the broader US sign no 444 00:23:42,640 --> 00:23:46,040 Speaker 1: tensions UM, but was kind of talked about the lockdown. 445 00:23:46,560 --> 00:23:49,600 Speaker 1: I'm hoping that we don't go to de listings, but 446 00:23:49,640 --> 00:23:51,480 Speaker 1: if we do, we have the ability to buy these 447 00:23:51,520 --> 00:23:54,080 Speaker 1: companies on the Hong Kong Exchange, as do most investors. 448 00:23:54,119 --> 00:23:55,960 Speaker 1: So I think there'll be a tough transition period, but 449 00:23:56,000 --> 00:23:59,840 Speaker 1: it will work itself out. UM. I think the tech regulation, 450 00:24:00,000 --> 00:24:01,639 Speaker 1: we we actually have a lot of clarity on what 451 00:24:01,720 --> 00:24:05,159 Speaker 1: that's gonna look like. And the U s Sino or 452 00:24:05,240 --> 00:24:07,800 Speaker 1: Western Sino tensions, they're going to be there for a while, 453 00:24:08,000 --> 00:24:10,400 Speaker 1: but the question is whether or not that that's imputed 454 00:24:10,440 --> 00:24:13,240 Speaker 1: in valuations. And at the moment this is in some 455 00:24:13,400 --> 00:24:15,960 Speaker 1: areas a fifty discount to the US, so there's a 456 00:24:15,960 --> 00:24:18,439 Speaker 1: lot of margin of safety there. And then I just 457 00:24:18,440 --> 00:24:23,240 Speaker 1: say one more thing UM about investing in in China, UM, 458 00:24:23,359 --> 00:24:26,359 Speaker 1: which is that the government is actually quite clear about 459 00:24:26,560 --> 00:24:30,399 Speaker 1: what their priorities are UM and the reality is that 460 00:24:30,440 --> 00:24:33,280 Speaker 1: once they announced those it gets discounted into markets immediately 461 00:24:33,280 --> 00:24:35,439 Speaker 1: because they have the ability, unlike in the US, to 462 00:24:35,480 --> 00:24:38,920 Speaker 1: actually implement those policies immediately. So if you pay attention 463 00:24:38,960 --> 00:24:40,639 Speaker 1: to what they're saying you can actually get on the 464 00:24:40,720 --> 00:24:42,719 Speaker 1: right side of this regulation. So I'll just end with 465 00:24:43,040 --> 00:24:45,600 Speaker 1: you know, another example of something in China, and we own. 466 00:24:45,800 --> 00:24:48,879 Speaker 1: We've told you why we like software already. Uh, we 467 00:24:48,920 --> 00:24:51,600 Speaker 1: do like it as a space very famous Robert Smith 468 00:24:51,680 --> 00:24:54,360 Speaker 1: quote software is better than first lean debt because they're 469 00:24:54,400 --> 00:24:56,560 Speaker 1: so essential to the running of companies. That's true in 470 00:24:56,560 --> 00:24:58,879 Speaker 1: the US, it's true in China. We own a company 471 00:24:58,880 --> 00:25:01,520 Speaker 1: called king D Software are an essential software for many 472 00:25:01,600 --> 00:25:05,040 Speaker 1: small medium enterprises in in China. We know the government 473 00:25:05,119 --> 00:25:08,479 Speaker 1: is going to support small medium enterprises, particularly coming out 474 00:25:08,520 --> 00:25:11,080 Speaker 1: of this lockdown. Uh. And we know that the government 475 00:25:11,160 --> 00:25:15,240 Speaker 1: is very supportive of digitalization again, particularly of small businesses. 476 00:25:15,520 --> 00:25:17,240 Speaker 1: So this is a tech company that's not going to 477 00:25:17,320 --> 00:25:19,480 Speaker 1: get most likely not going to get caught in the 478 00:25:19,520 --> 00:25:23,520 Speaker 1: crossfairs um of regulation, compounding at a very high rate 479 00:25:23,960 --> 00:25:27,159 Speaker 1: and looking extremely attractive to its own history and the 480 00:25:27,200 --> 00:25:31,600 Speaker 1: software sector broadly. So again challenges a lot of it 481 00:25:31,680 --> 00:25:36,119 Speaker 1: discounted in selectively, one can can find opportunities. Yeah. I 482 00:25:36,240 --> 00:25:39,200 Speaker 1: also have some interesting news this week where China basically 483 00:25:39,240 --> 00:25:43,080 Speaker 1: came out and said that all state enterprises need to 484 00:25:43,119 --> 00:25:47,520 Speaker 1: start buying domestic computers and software that that's certainly uh, 485 00:25:47,680 --> 00:25:51,080 Speaker 1: certainly gonnapen up some opportunities I would imagine, yeah, that 486 00:25:51,200 --> 00:25:53,159 Speaker 1: I would pick up on that and saying that's a 487 00:25:53,280 --> 00:25:57,840 Speaker 1: very important point. This is obviously a sign of deglobalization UM. 488 00:25:58,320 --> 00:26:01,400 Speaker 1: And we are believers that the tech ecosystem is going 489 00:26:01,400 --> 00:26:03,640 Speaker 1: to build out. We already have the Splinternet, but other 490 00:26:03,680 --> 00:26:06,600 Speaker 1: parts of the tech ecosystem, including the semi supply chain 491 00:26:06,640 --> 00:26:09,400 Speaker 1: and hardware, are going to build out separately and shine 492 00:26:09,480 --> 00:26:11,680 Speaker 1: than they are in the US. And so the US 493 00:26:11,800 --> 00:26:15,000 Speaker 1: is also going to invest more in supply chain security 494 00:26:15,040 --> 00:26:18,520 Speaker 1: of chips. It's a it's a national security issue. We 495 00:26:18,680 --> 00:26:22,280 Speaker 1: at the moment cannot manufacture at the leading edge UM 496 00:26:22,400 --> 00:26:25,439 Speaker 1: for chips in the US. That is that's unacceptable really 497 00:26:25,520 --> 00:26:28,600 Speaker 1: from a from a national security perspective. And so this 498 00:26:28,640 --> 00:26:31,080 Speaker 1: country is going to invest a lot in in building 499 00:26:31,080 --> 00:26:34,600 Speaker 1: out that supply chain. That's by the way, ultimately inflationary UM, 500 00:26:34,600 --> 00:26:36,880 Speaker 1: but it does create some opportunities. And so one thing 501 00:26:36,880 --> 00:26:39,920 Speaker 1: that we are invested in across many of our portfolios 502 00:26:40,080 --> 00:26:42,720 Speaker 1: is that local is a rebuilding now to the semi 503 00:26:42,760 --> 00:26:45,840 Speaker 1: supply chain, and we own for example, the semi equipment manufacturers. 504 00:26:45,840 --> 00:26:48,600 Speaker 1: It's a way to benefit from that um and I'd 505 00:26:48,640 --> 00:26:50,480 Speaker 1: end up by saying you can, you can be, you 506 00:26:50,520 --> 00:26:52,199 Speaker 1: can do two things. You can say, wow, this is 507 00:26:52,200 --> 00:26:55,159 Speaker 1: really scary China is building out this totally separate ecosystem. 508 00:26:55,320 --> 00:26:58,360 Speaker 1: Or you can say, well, it's the world's second largest economy. 509 00:26:58,400 --> 00:27:00,680 Speaker 1: It's a very big equity market, and I want to 510 00:27:00,720 --> 00:27:02,840 Speaker 1: own a piece of that for my clients too, because 511 00:27:02,840 --> 00:27:04,800 Speaker 1: there's going to be a lot of investment happening there. 512 00:27:05,560 --> 00:27:08,639 Speaker 1: We obviously choose to believe the ladder, but try and 513 00:27:08,680 --> 00:27:11,119 Speaker 1: be very selective about what to own and what prices 514 00:27:11,160 --> 00:27:14,640 Speaker 1: to buy it At Katie, just to bring things back 515 00:27:15,040 --> 00:27:17,959 Speaker 1: to the US, there was something that really struck me 516 00:27:18,080 --> 00:27:19,800 Speaker 1: in one of the notes you had sent us over 517 00:27:20,280 --> 00:27:23,159 Speaker 1: before the podcast, and I actually ended up writing wow 518 00:27:23,359 --> 00:27:26,640 Speaker 1: in my notes on your note, and it said, while 519 00:27:26,640 --> 00:27:28,919 Speaker 1: we have a very difficult set up, returns will be 520 00:27:29,000 --> 00:27:32,280 Speaker 1: lower the next ten years. And you said, I'm not 521 00:27:32,359 --> 00:27:34,720 Speaker 1: entering the nineteen seventies, but we need to be aggressive 522 00:27:34,760 --> 00:27:38,840 Speaker 1: in finding opportunities. So can you talk about that and 523 00:27:39,000 --> 00:27:42,040 Speaker 1: this idea that things will not be so great in 524 00:27:42,080 --> 00:27:45,639 Speaker 1: the next decade. Yeah, I guess that is kind of 525 00:27:45,680 --> 00:27:47,520 Speaker 1: a wow comment. What do you what do you say 526 00:27:47,520 --> 00:27:49,879 Speaker 1: it that way, but but it is. It is what 527 00:27:50,000 --> 00:27:52,400 Speaker 1: I believe to be true and something I really want 528 00:27:52,480 --> 00:27:56,320 Speaker 1: people to reflect on as they manage their own personal wealth. 529 00:27:56,880 --> 00:27:59,840 Speaker 1: When you look at we I kind of think about 530 00:28:00,160 --> 00:28:03,000 Speaker 1: through the lens of the sixty forty portfolio to sixty 531 00:28:03,119 --> 00:28:06,280 Speaker 1: stocks UM forty bonds. And I say that because that's 532 00:28:06,400 --> 00:28:09,280 Speaker 1: generally how most people around the world are are kind 533 00:28:09,320 --> 00:28:13,760 Speaker 1: of allocated. And that's been a phenomenal asset to own 534 00:28:14,040 --> 00:28:18,560 Speaker 1: through the last cycle that has returned eight percent real return. 535 00:28:18,640 --> 00:28:22,080 Speaker 1: So after inflation returns, you compound that eight percent annually. 536 00:28:22,080 --> 00:28:25,080 Speaker 1: I mean, you guys know, that's incredibly powerful and and 537 00:28:25,080 --> 00:28:27,719 Speaker 1: and great news, particularly for people on a fixed income. 538 00:28:28,400 --> 00:28:31,920 Speaker 1: That return was more like five percent over the last 539 00:28:32,160 --> 00:28:36,680 Speaker 1: hundred years and about negative nine percent year to date UM. 540 00:28:36,880 --> 00:28:40,200 Speaker 1: And so my point is that a lot of returns 541 00:28:40,320 --> 00:28:44,440 Speaker 1: were pulled forward into the previous ten years, which suggests 542 00:28:44,440 --> 00:28:47,280 Speaker 1: the next ten years returns are going to be harder 543 00:28:47,320 --> 00:28:50,040 Speaker 1: to come by. And I think people need to be 544 00:28:50,080 --> 00:28:53,200 Speaker 1: prepared for that environment as they plan for their retirement, 545 00:28:53,240 --> 00:28:55,760 Speaker 1: as they think about what they're going to spend UM 546 00:28:55,880 --> 00:28:57,600 Speaker 1: and I think they need to prepare for it by 547 00:28:57,640 --> 00:29:00,760 Speaker 1: being more active in their portfolio and seeking out those 548 00:29:00,760 --> 00:29:04,080 Speaker 1: returns UM. And that leads us back to you know, 549 00:29:04,120 --> 00:29:06,840 Speaker 1: so what do you do you should be In our view, 550 00:29:07,000 --> 00:29:09,800 Speaker 1: if we are going to have inflation, we would recommend 551 00:29:09,880 --> 00:29:13,320 Speaker 1: people be overweight equities relative to fixed income and then 552 00:29:13,400 --> 00:29:16,560 Speaker 1: the equities bucket. Um. Again, I want to acknowledge my 553 00:29:16,640 --> 00:29:19,520 Speaker 1: biases here as an active manager, but clearly these like 554 00:29:19,640 --> 00:29:24,120 Speaker 1: tremendous dislocation and market creates really interesting entry points and 555 00:29:24,200 --> 00:29:27,040 Speaker 1: opportunities for active managers to hopefully do a lot better 556 00:29:27,520 --> 00:29:31,479 Speaker 1: than that passive portfolio UM. And I don't think that 557 00:29:31,520 --> 00:29:35,120 Speaker 1: we're set up for the lost decade of the nineteen seventies. 558 00:29:35,160 --> 00:29:37,880 Speaker 1: There's a lot of reasons it is actually different this time, 559 00:29:37,920 --> 00:29:40,640 Speaker 1: including I won't go through the whole list, but for example, 560 00:29:40,680 --> 00:29:44,760 Speaker 1: employments and in a much stronger place U where inflations 561 00:29:44,760 --> 00:29:47,280 Speaker 1: nowhere near um as high as it was then, and 562 00:29:47,320 --> 00:29:49,920 Speaker 1: we have more of the tools to tackle it, more 563 00:29:49,960 --> 00:29:54,320 Speaker 1: central and more independent central banks globally, etcetera. But it 564 00:29:54,400 --> 00:29:55,880 Speaker 1: is going to be a return It is going to 565 00:29:55,960 --> 00:29:59,240 Speaker 1: be rather a decade of lower returns, and you're not 566 00:29:59,240 --> 00:30:01,480 Speaker 1: just gonna be able to sit and own passive assets 567 00:30:01,480 --> 00:30:03,080 Speaker 1: and hope it all works out, you're going to have 568 00:30:03,120 --> 00:30:05,880 Speaker 1: to take more control of of of your destiny, and 569 00:30:06,200 --> 00:30:08,040 Speaker 1: we're working with a lot of people to do that, 570 00:30:08,080 --> 00:30:12,080 Speaker 1: particularly in their equity portfolios. Okaty. I know at Goldman 571 00:30:12,120 --> 00:30:15,280 Speaker 1: Sachs Asset Management, you spend a lot of time sort 572 00:30:15,320 --> 00:30:17,400 Speaker 1: of listening to what c c e O s and 573 00:30:17,480 --> 00:30:22,360 Speaker 1: CFOs have to say. Uh, you know what their plans are. Um. 574 00:30:22,840 --> 00:30:26,200 Speaker 1: You know, unlike myself, they probably return your calls when 575 00:30:26,240 --> 00:30:30,320 Speaker 1: when you when you call them. Quite a quite a 576 00:30:30,360 --> 00:30:34,040 Speaker 1: luxury you have there. But I'm curious, is there sort 577 00:30:34,040 --> 00:30:40,440 Speaker 1: of UM quantify CEO CFO sentiment right now? Are they scared? 578 00:30:40,760 --> 00:30:43,520 Speaker 1: Are they looking for opportunities? What's kind of the vibe 579 00:30:43,520 --> 00:30:45,600 Speaker 1: out there from the C suite? As far as you 580 00:30:45,640 --> 00:30:51,440 Speaker 1: can sell UM, I would say it's cautious. So they 581 00:30:51,440 --> 00:30:55,120 Speaker 1: do return our calls. That's one of the benefits of 582 00:30:53,960 --> 00:30:57,640 Speaker 1: of of being at Goldman SAX and having to pay 583 00:31:00,280 --> 00:31:02,160 Speaker 1: I think my phone might be broken. I'm not sure 584 00:31:03,040 --> 00:31:06,360 Speaker 1: because so I appreciate you asking that. And we are 585 00:31:06,520 --> 00:31:09,880 Speaker 1: really delighted that we get great access to management teams 586 00:31:09,880 --> 00:31:11,840 Speaker 1: on behalf of our clients, and I think we do 587 00:31:11,920 --> 00:31:14,479 Speaker 1: get good data points and I go back to what 588 00:31:14,520 --> 00:31:17,680 Speaker 1: I was just saying that I think they're cautious. And 589 00:31:17,760 --> 00:31:20,600 Speaker 1: you see that because again the market as we started 590 00:31:20,600 --> 00:31:23,040 Speaker 1: down seventeen percent since the highest, did we have a 591 00:31:23,080 --> 00:31:27,520 Speaker 1: bad earning season? No, it was actually very good earnings. 592 00:31:27,840 --> 00:31:30,680 Speaker 1: So again the right now data is suggesting the fundamentals 593 00:31:30,680 --> 00:31:33,480 Speaker 1: are quite strong and healthy. But you asked a very 594 00:31:33,520 --> 00:31:36,720 Speaker 1: important question, which is what is sentiment look like? And 595 00:31:36,720 --> 00:31:41,080 Speaker 1: and sentiment is is is more challenge than that, And 596 00:31:41,120 --> 00:31:44,800 Speaker 1: that's also reflected in guidance being lower because these cycle 597 00:31:44,840 --> 00:31:47,200 Speaker 1: tested management teams, which are obviously the ones who try 598 00:31:47,240 --> 00:31:49,840 Speaker 1: and commit capital to you know, they've seen this movie 599 00:31:49,880 --> 00:31:52,280 Speaker 1: before and they know that we're entering a more difficult 600 00:31:52,320 --> 00:31:55,400 Speaker 1: operating environment. And I think the best if people want 601 00:31:55,440 --> 00:31:58,960 Speaker 1: to really get insight into what a great management team 602 00:31:59,040 --> 00:32:01,080 Speaker 1: is kind of thinking and saying, and how they're trying 603 00:32:01,120 --> 00:32:04,640 Speaker 1: to prepare themselves um for this operating environment, they should 604 00:32:04,680 --> 00:32:07,680 Speaker 1: read Dara, the CEO of um Uber's letter to his 605 00:32:07,880 --> 00:32:11,400 Speaker 1: employees about what this environment will look like, how they're 606 00:32:11,440 --> 00:32:13,360 Speaker 1: going to have to operate differently, that they can't just 607 00:32:13,400 --> 00:32:15,680 Speaker 1: go out and talk about how big the market opportunity 608 00:32:15,720 --> 00:32:18,320 Speaker 1: if there's not profitable excuse me if they're not profitable 609 00:32:18,520 --> 00:32:21,760 Speaker 1: because investors don't care, and you just like imputing some 610 00:32:21,840 --> 00:32:25,400 Speaker 1: of that realism into the way that you're running a business. Um, 611 00:32:25,440 --> 00:32:27,440 Speaker 1: that's what we see a lot of management teams doing. 612 00:32:27,520 --> 00:32:29,280 Speaker 1: And the ones who want to commit capital to that 613 00:32:29,320 --> 00:32:31,880 Speaker 1: have been through this before, that know how to work 614 00:32:31,920 --> 00:32:35,160 Speaker 1: through this grind, that have that have raised capital when 615 00:32:35,160 --> 00:32:37,920 Speaker 1: it was available, not when they needed to. Um, that 616 00:32:37,960 --> 00:32:39,760 Speaker 1: know how to motivate, people, that know how to leave, 617 00:32:39,840 --> 00:32:41,600 Speaker 1: people that know how to run the company in a 618 00:32:41,640 --> 00:32:45,240 Speaker 1: way that will be received well by investors, which will 619 00:32:45,440 --> 00:32:49,560 Speaker 1: obviously help stock prices. That that's that's that's what we're 620 00:32:49,560 --> 00:32:51,480 Speaker 1: hearing and what we want to see from from great 621 00:32:51,520 --> 00:32:55,400 Speaker 1: management teams. And I just want to end by saying, UM, 622 00:32:55,440 --> 00:33:00,000 Speaker 1: we never you know it's that when returns are absolute negative. UM, 623 00:33:00,080 --> 00:33:02,800 Speaker 1: for sure, we that is not what we're trying to 624 00:33:02,840 --> 00:33:05,000 Speaker 1: do here. We're trying to help our clients retire with 625 00:33:05,040 --> 00:33:07,760 Speaker 1: dignity and security. And as I said earlier, it moves 626 00:33:07,760 --> 00:33:10,680 Speaker 1: in cycles and feels very confident will come back. But 627 00:33:10,840 --> 00:33:14,400 Speaker 1: moments like this where stock prices are dislocated on top 628 00:33:14,440 --> 00:33:18,280 Speaker 1: of the operating environment being very challenging, this is very 629 00:33:18,400 --> 00:33:22,240 Speaker 1: very rich for differentiation. There are some companies that are 630 00:33:22,240 --> 00:33:25,640 Speaker 1: publicly listed that may not survive what's happening right now, 631 00:33:25,640 --> 00:33:29,040 Speaker 1: and obviously we want to avoid those uh and and 632 00:33:29,080 --> 00:33:32,440 Speaker 1: we will uh And then you want to find um 633 00:33:32,560 --> 00:33:35,560 Speaker 1: allocate to to the ones that will differentiate, you know, 634 00:33:35,600 --> 00:33:38,600 Speaker 1: try and store through the pretenders versus the contenders, if 635 00:33:38,600 --> 00:33:40,320 Speaker 1: you will. And that's what we're spending a lot of 636 00:33:40,320 --> 00:33:43,239 Speaker 1: time doing on behalf of our clients. I actually had 637 00:33:43,280 --> 00:33:45,800 Speaker 1: wanted to ask you what you make of this idea 638 00:33:45,880 --> 00:33:49,480 Speaker 1: that the market is sniffing out. These sort of worrisome 639 00:33:49,520 --> 00:33:52,960 Speaker 1: developments are worrisome signals in the micro data. So we 640 00:33:53,240 --> 00:33:55,440 Speaker 1: talked about you know, FED and inflation, some of the 641 00:33:55,480 --> 00:33:59,280 Speaker 1: bigger concerns. But I know I wrote about this interview 642 00:33:59,360 --> 00:34:03,000 Speaker 1: a non stick coding CEO had given Humblemark TV where 643 00:34:03,000 --> 00:34:05,120 Speaker 1: he was saying, the way his orders are coming in, 644 00:34:05,200 --> 00:34:07,920 Speaker 1: it just looks like recessionary behavior. So what do you 645 00:34:07,960 --> 00:34:11,480 Speaker 1: make of these sort of micro signals that are flashing 646 00:34:11,480 --> 00:34:15,719 Speaker 1: morning signs for micro signals very very important, and that 647 00:34:15,840 --> 00:34:17,920 Speaker 1: is what we spent a lot of time with management 648 00:34:17,960 --> 00:34:21,120 Speaker 1: teams doing. And I think they can be quite predictive 649 00:34:21,239 --> 00:34:24,800 Speaker 1: about where the economic cycles going, and there are ways 650 00:34:24,840 --> 00:34:28,120 Speaker 1: to consume that, uh now through big data, and we 651 00:34:28,200 --> 00:34:30,879 Speaker 1: do get access to a lot of that so near 652 00:34:31,000 --> 00:34:33,680 Speaker 1: term orders, etcetera. Um, but some of it you do 653 00:34:33,719 --> 00:34:37,080 Speaker 1: get just from speaking to management teams and you generally 654 00:34:37,080 --> 00:34:41,040 Speaker 1: will start to see, um, the pain show up there first. 655 00:34:41,200 --> 00:34:43,040 Speaker 1: I would just say it's a little bit conflated right 656 00:34:43,080 --> 00:34:45,160 Speaker 1: now because of all the supply chain issues we've had, 657 00:34:45,200 --> 00:34:47,800 Speaker 1: so you can't you have to be very careful about 658 00:34:47,840 --> 00:34:50,400 Speaker 1: looking at the data because it's quite lumpy. But I 659 00:34:50,719 --> 00:34:55,920 Speaker 1: do think the micro signals are important. Um, absolutely, Katie. 660 00:34:55,960 --> 00:34:58,200 Speaker 1: I know you also like private markets, and I want 661 00:34:58,200 --> 00:34:59,880 Speaker 1: to ask you what's attractive to you in the private 662 00:35:01,400 --> 00:35:04,720 Speaker 1: Sure we we are believers at Goldman's access that management 663 00:35:04,719 --> 00:35:07,280 Speaker 1: that clients should have if they are able to get 664 00:35:07,320 --> 00:35:10,879 Speaker 1: invested to both public as well as private markets. That 665 00:35:10,880 --> 00:35:15,040 Speaker 1: that that is absolutely true. UM. I would say at 666 00:35:15,080 --> 00:35:18,719 Speaker 1: the moment, great news for people that are interested in 667 00:35:18,800 --> 00:35:24,560 Speaker 1: public markets. The challenges have have been imputed into stock prices, 668 00:35:24,600 --> 00:35:31,759 Speaker 1: so market down, seventeen, tech down, MidCap software down. It 669 00:35:31,920 --> 00:35:34,799 Speaker 1: has a lot of the worries have been reflected in 670 00:35:34,840 --> 00:35:40,440 Speaker 1: stock prices. In contrast, a lot of these private assets 671 00:35:40,440 --> 00:35:42,920 Speaker 1: only took down a mark in the first quarter of 672 00:35:43,320 --> 00:35:46,800 Speaker 1: down ten percent, And if you look at what you 673 00:35:46,840 --> 00:35:49,400 Speaker 1: can buy in public markets right now, it's effectively a 674 00:35:49,440 --> 00:35:54,319 Speaker 1: fifty discount to what UH private companies were raising last year. 675 00:35:54,760 --> 00:35:57,920 Speaker 1: So I just make the point that the valuations are 676 00:35:58,040 --> 00:36:02,120 Speaker 1: arguably more attractive now and like versus private markets. Um. 677 00:36:02,239 --> 00:36:04,560 Speaker 1: The second point I would make is that I think 678 00:36:04,600 --> 00:36:07,920 Speaker 1: there's really interesting assets that are really only available in 679 00:36:07,960 --> 00:36:11,520 Speaker 1: public markets. Things that are capital and intensive, for example, 680 00:36:11,560 --> 00:36:13,680 Speaker 1: and that would include semis, which we've already talked about. 681 00:36:13,680 --> 00:36:15,719 Speaker 1: But if you want to own best in class semis, 682 00:36:15,760 --> 00:36:17,879 Speaker 1: you do need to look in public markets for those, 683 00:36:17,960 --> 00:36:21,040 Speaker 1: and that semis are, of course the based infrastructure for 684 00:36:21,080 --> 00:36:23,080 Speaker 1: all of the innovation we talked about today, are going 685 00:36:23,120 --> 00:36:25,600 Speaker 1: to grow up multiples of GDP and are mostly available 686 00:36:25,640 --> 00:36:28,759 Speaker 1: in public markets. I would say there's companies that are 687 00:36:28,840 --> 00:36:32,520 Speaker 1: highly regulated in the utility space that look interesting. Those 688 00:36:32,520 --> 00:36:34,759 Speaker 1: are interesting assets to own if we do have a 689 00:36:34,800 --> 00:36:37,360 Speaker 1: more inflationary environment, and they're also if you pick the 690 00:36:37,440 --> 00:36:40,560 Speaker 1: right ones. Then the leaders in climate transition, which we've 691 00:36:40,600 --> 00:36:43,320 Speaker 1: identified as a very important theme over the next decade, 692 00:36:43,440 --> 00:36:47,520 Speaker 1: mostly available in public markets. And then finally, UM, you know, 693 00:36:47,640 --> 00:36:51,040 Speaker 1: you can avoid binary outcomes in public markets by owning 694 00:36:51,640 --> 00:36:55,120 Speaker 1: um different parts of the supply chain and owning more 695 00:36:55,160 --> 00:36:59,200 Speaker 1: diversified baskets UH and putting those together on the supply 696 00:36:59,320 --> 00:37:01,799 Speaker 1: chain point, I just say, we really let we talked 697 00:37:01,800 --> 00:37:05,239 Speaker 1: about the future of healthcare being interesting, and then specifically 698 00:37:05,239 --> 00:37:09,080 Speaker 1: we love the development's happening in genomics and UM huge 699 00:37:09,480 --> 00:37:12,759 Speaker 1: amount of opportunity in the biologic space. We do own 700 00:37:12,800 --> 00:37:14,839 Speaker 1: those drug companies, I'm happy to come back to that. 701 00:37:15,040 --> 00:37:17,960 Speaker 1: But we also own a company called West Pharmaceuticals that 702 00:37:18,040 --> 00:37:21,440 Speaker 1: makes the rubber stoppers for biologic drugs UH in the 703 00:37:21,520 --> 00:37:24,320 Speaker 1: small and MidCap space. So there's just such a in 704 00:37:24,360 --> 00:37:26,600 Speaker 1: the public markets. You just get such a strong array 705 00:37:26,600 --> 00:37:29,799 Speaker 1: of companies all across the supply chain that enables you 706 00:37:29,920 --> 00:37:32,840 Speaker 1: to have more latitude in the way you can implement 707 00:37:33,120 --> 00:37:36,400 Speaker 1: UM implement some of these themes. So own both but 708 00:37:36,520 --> 00:37:39,040 Speaker 1: public markets on sale now and also a lot of 709 00:37:39,080 --> 00:37:41,440 Speaker 1: reasons to to make sure that you have capital invested. 710 00:37:41,480 --> 00:37:43,600 Speaker 1: There are things that exist in public markets that that 711 00:37:43,680 --> 00:37:47,799 Speaker 1: don't necessarily exist in private markets. The rubber stoppers for 712 00:37:47,840 --> 00:37:50,160 Speaker 1: test tube, so that's got to be recession proof too. 713 00:37:50,200 --> 00:37:52,960 Speaker 1: I like I like that one. UH, I'm gonna look 714 00:37:52,960 --> 00:37:56,480 Speaker 1: into them. Yeah, they have a seventy percent market share 715 00:37:56,960 --> 00:37:59,399 Speaker 1: globally in that space. And as you can imagine, there's 716 00:37:59,480 --> 00:38:03,360 Speaker 1: they have the barriers to entry because it's there's regulatory 717 00:38:03,400 --> 00:38:07,000 Speaker 1: issues because they interact with the drug. Um, they have 718 00:38:07,160 --> 00:38:09,560 Speaker 1: to be the packaging actually has to be f d 719 00:38:09,680 --> 00:38:13,640 Speaker 1: A approved, and yes it should be resistant somewhat in 720 00:38:14,000 --> 00:38:16,960 Speaker 1: a recession, I would agree with you. And also a 721 00:38:16,960 --> 00:38:23,719 Speaker 1: beneficiary of our continued booster right right, That's that's pretty fascinated. 722 00:38:23,760 --> 00:38:26,239 Speaker 1: I know, I think we're gonna be getting boosters every 723 00:38:26,280 --> 00:38:29,400 Speaker 1: six months. It seems like, Katie, it's been refreshing to 724 00:38:29,480 --> 00:38:31,439 Speaker 1: talk to you. I think we've gone almost a half 725 00:38:31,480 --> 00:38:34,040 Speaker 1: an hour here and no one has even said the 726 00:38:34,080 --> 00:38:39,480 Speaker 1: word crypto, which is is very refreshing. But you know, 727 00:38:39,800 --> 00:38:43,000 Speaker 1: obviously is the other big story going on is just 728 00:38:43,040 --> 00:38:46,600 Speaker 1: this you know, blood bath and crypto markets Bitcoin down, 729 00:38:47,800 --> 00:38:52,880 Speaker 1: and obviously crypto has become pretty influential to the stock market, 730 00:38:52,920 --> 00:38:56,640 Speaker 1: whether it be you know, Tesla and micro Strategy adding 731 00:38:56,640 --> 00:39:00,359 Speaker 1: it to their balance sheets and their treasuries. Were you know, 732 00:39:00,640 --> 00:39:04,080 Speaker 1: years ago, a company could add blockchain to its name 733 00:39:04,120 --> 00:39:08,040 Speaker 1: and see it's stockpop um. You know, the chip makers, 734 00:39:08,080 --> 00:39:10,759 Speaker 1: which I know you followed pretty closely. Uh, you know 735 00:39:11,160 --> 00:39:14,680 Speaker 1: certain chipmakers got a big boost from all the minding 736 00:39:14,719 --> 00:39:18,160 Speaker 1: going on. How are you thinking about or are you 737 00:39:18,200 --> 00:39:21,480 Speaker 1: thinking about it at all? Now? Given this you know, 738 00:39:22,120 --> 00:39:26,680 Speaker 1: big retransmant in crypto prices. Is it sort of the 739 00:39:26,719 --> 00:39:30,640 Speaker 1: type of sector you just avoid and let the dust 740 00:39:30,680 --> 00:39:33,080 Speaker 1: fall where may? Or is it you know, is there 741 00:39:33,120 --> 00:39:35,480 Speaker 1: opportunities there? How do you how are you sort of 742 00:39:35,719 --> 00:39:39,319 Speaker 1: thinking the way crypto complain into equity markets? Uh? If 743 00:39:39,360 --> 00:39:42,719 Speaker 1: at all? Well, as you guys know, there's actually not 744 00:39:42,880 --> 00:39:46,120 Speaker 1: a lot of pure play publicly listed ways to get 745 00:39:46,160 --> 00:39:49,680 Speaker 1: exposure to crypto, so it's actually not a space we 746 00:39:49,760 --> 00:39:53,160 Speaker 1: spent a lot of time on um, particularly with regards 747 00:39:53,200 --> 00:39:55,480 Speaker 1: to the coins themselves, because they're just they're not part 748 00:39:55,520 --> 00:40:00,040 Speaker 1: of our investable universe. UM. I will say, um, and 749 00:40:00,040 --> 00:40:01,960 Speaker 1: I know you've heard people say this before, so it's 750 00:40:01,960 --> 00:40:03,840 Speaker 1: not going to sound particularly brave, but I do believe 751 00:40:03,840 --> 00:40:07,120 Speaker 1: it to be quite true, UM that the blockchain technology 752 00:40:07,120 --> 00:40:11,160 Speaker 1: and opinion that is highly disruptive, and it's something that 753 00:40:11,200 --> 00:40:13,080 Speaker 1: we spend a lot of time thinking about, and we 754 00:40:13,120 --> 00:40:16,239 Speaker 1: expressed it through our positioning in the payment space. So 755 00:40:16,280 --> 00:40:19,960 Speaker 1: if you look at financials broadly as a category. UM. 756 00:40:20,160 --> 00:40:22,359 Speaker 1: The way we're positioned there is that we still like 757 00:40:22,560 --> 00:40:26,399 Speaker 1: the big banks UM. It turns out it's a good 758 00:40:26,400 --> 00:40:31,439 Speaker 1: business model to loan money UM and and hopefully uh 759 00:40:31,600 --> 00:40:34,960 Speaker 1: get the loans paid back UM and have high net 760 00:40:34,960 --> 00:40:37,520 Speaker 1: interest margins when rates are going up. These are actually 761 00:40:37,600 --> 00:40:40,080 Speaker 1: good assets to own, and again they offer some diversity 762 00:40:40,120 --> 00:40:42,960 Speaker 1: to portfolios and an environment where growth not performing. So 763 00:40:43,000 --> 00:40:45,919 Speaker 1: we continue to like the best in class banks UM. 764 00:40:46,120 --> 00:40:48,920 Speaker 1: And then on the other side and the more growth 765 00:40:48,920 --> 00:40:52,720 Speaker 1: oriented space. We're actually avoiding a lot of the lot 766 00:40:52,840 --> 00:40:58,279 Speaker 1: of the fintech space UM because writ large, because it's 767 00:40:58,320 --> 00:41:02,319 Speaker 1: obviously clearly highly competitive is and also these companies and 768 00:41:02,360 --> 00:41:05,400 Speaker 1: management teams many of them haven't worked through a credit 769 00:41:05,440 --> 00:41:09,960 Speaker 1: cycle before, which gives us pause. UM. But we do like, however, 770 00:41:10,520 --> 00:41:14,160 Speaker 1: some of the payment companies UM and so and some 771 00:41:14,280 --> 00:41:18,080 Speaker 1: of them actually are you going to be leaders in 772 00:41:18,160 --> 00:41:20,880 Speaker 1: blockchain disruption? And so that's really where we expressed that 773 00:41:20,960 --> 00:41:41,359 Speaker 1: thesis in our portfolios. Katie, you talk about having fun, UM. 774 00:41:41,760 --> 00:41:44,279 Speaker 1: I don't know if you realize this. Valdonna's idea of 775 00:41:44,320 --> 00:41:50,920 Speaker 1: fun is watching grammar videos, videos about Grammar and her 776 00:41:50,960 --> 00:41:53,319 Speaker 1: other her other fun thing to do is to read 777 00:41:53,360 --> 00:41:56,319 Speaker 1: a story I've already edited and look for typos. That's 778 00:41:56,360 --> 00:41:59,399 Speaker 1: kind of her, So you can figure out a way 779 00:41:59,400 --> 00:42:03,279 Speaker 1: to monitor is those two things of all ears. But 780 00:42:04,360 --> 00:42:07,640 Speaker 1: for the podcast, the way we have fun is uh 781 00:42:08,040 --> 00:42:11,240 Speaker 1: talking at the craziest things we've seen in markets this week. 782 00:42:12,000 --> 00:42:16,000 Speaker 1: Uh proud tradition. So I think it's time to pivot, 783 00:42:16,320 --> 00:42:21,400 Speaker 1: pivot to the crazy. There's been no shortage of crazy things, uh, Katie, 784 00:42:21,400 --> 00:42:24,040 Speaker 1: So hope hopefully you you found something to uh the 785 00:42:24,120 --> 00:42:28,239 Speaker 1: dazzle with us. I think your clients this is this. 786 00:42:28,360 --> 00:42:30,560 Speaker 1: The pressure is on Katie. Your clients really want to 787 00:42:30,560 --> 00:42:33,120 Speaker 1: know the craziest thing you saw. But we'll start with 788 00:42:33,160 --> 00:42:35,560 Speaker 1: Uldonna Vildana. What's the craziest thing you saw this week? 789 00:42:36,840 --> 00:42:39,400 Speaker 1: I think I'm gonna go with the obvious. And I 790 00:42:39,440 --> 00:42:42,000 Speaker 1: actually had a couple of listeners reach out and and 791 00:42:42,040 --> 00:42:44,799 Speaker 1: flag it to me as well. And I know you 792 00:42:44,920 --> 00:42:46,719 Speaker 1: had been looking at it, Mike and I had been 793 00:42:46,760 --> 00:42:48,880 Speaker 1: looking at it, and you and I ended up writing 794 00:42:48,880 --> 00:42:51,879 Speaker 1: about it together. But I want to give a shout 795 00:42:51,880 --> 00:42:57,040 Speaker 1: out to Brian reich Half and at Dr Einstein, who 796 00:42:57,120 --> 00:43:01,480 Speaker 1: both sent over that the Horde whole. Tara Luna the 797 00:43:01,560 --> 00:43:04,360 Speaker 1: buckle to me, Brian Ha's, I mean a super interesting 798 00:43:04,400 --> 00:43:08,400 Speaker 1: threat about how it actually how that stable coin became 799 00:43:08,520 --> 00:43:12,400 Speaker 1: unpegged and everything that had happened there, and then also 800 00:43:12,920 --> 00:43:16,920 Speaker 1: Dr Einstein and apologies. But I don't know his actual name, 801 00:43:17,000 --> 00:43:20,000 Speaker 1: so we're just going with with his Twitter handle. But 802 00:43:20,480 --> 00:43:23,360 Speaker 1: he he was mentioning how it felt, you know, I 803 00:43:23,360 --> 00:43:25,760 Speaker 1: think it was worth something like he said, thirty billion 804 00:43:25,800 --> 00:43:30,000 Speaker 1: dollars and then it felt to just a tremendous, tremendous 805 00:43:30,000 --> 00:43:32,960 Speaker 1: amount over just a couple of days. So that's that, 806 00:43:33,080 --> 00:43:36,040 Speaker 1: by far, is the craziest thing. Yeah, it really is, Luna. 807 00:43:36,160 --> 00:43:38,960 Speaker 1: I think the Queen was worth a hundred and sixteen 808 00:43:39,640 --> 00:43:42,920 Speaker 1: in early April. It's now worth a hundred and sixteen 809 00:43:42,920 --> 00:43:45,720 Speaker 1: dollars now it's worth I don't know, eighty five cents 810 00:43:45,880 --> 00:43:49,520 Speaker 1: the last time I checked. And loyal listeners may remember 811 00:43:49,560 --> 00:43:52,400 Speaker 1: we actually did an interview with do Quan, who was 812 00:43:52,440 --> 00:43:54,879 Speaker 1: the guy behind all of this, about I think about 813 00:43:54,880 --> 00:43:56,880 Speaker 1: a year and a half ago. So if you scroll 814 00:43:57,000 --> 00:44:00,040 Speaker 1: through your podcasts you might be able to find that 815 00:44:00,120 --> 00:44:03,560 Speaker 1: one um and he talks about stable coins and synthetic 816 00:44:03,640 --> 00:44:08,440 Speaker 1: equities and everything else they're working on. Absolutely yeah, absolutely. Uh, 817 00:44:08,960 --> 00:44:12,560 Speaker 1: fascinating story and really kind of kind of scary when 818 00:44:12,560 --> 00:44:16,120 Speaker 1: you think of um how big that project had gotten. 819 00:44:16,120 --> 00:44:19,720 Speaker 1: I think Tera after Ethereum was like the second biggest 820 00:44:19,719 --> 00:44:23,840 Speaker 1: blockchain for a while there. So um, a lot to 821 00:44:23,880 --> 00:44:27,160 Speaker 1: play out in that story. Uh, Katie, how about you, 822 00:44:27,400 --> 00:44:32,360 Speaker 1: did you see anything crazy in markets this week? I mean, yeah, 823 00:44:32,840 --> 00:44:35,440 Speaker 1: that that that question. I have a lot of answers 824 00:44:35,480 --> 00:44:39,000 Speaker 1: to a lot of a lot of crazy things. I 825 00:44:39,000 --> 00:44:42,480 Speaker 1: mean I think the thing that we one interesting thing 826 00:44:42,680 --> 00:44:45,520 Speaker 1: and that we're that I want to highlight is that, um, 827 00:44:46,640 --> 00:44:48,759 Speaker 1: I would be weary of people at say look at 828 00:44:48,800 --> 00:44:50,600 Speaker 1: things and say to you, oh, this is a great 829 00:44:50,600 --> 00:44:52,759 Speaker 1: opportunity to buy this because it's as cheap as it's 830 00:44:52,840 --> 00:44:55,040 Speaker 1: been in five years, or it's as cheap as it's 831 00:44:55,040 --> 00:44:57,280 Speaker 1: been in ten years. Because if we've entered an environment 832 00:44:57,320 --> 00:44:59,920 Speaker 1: where capital is not free again, and that there's inflation 833 00:45:00,000 --> 00:45:01,840 Speaker 1: shin and the central thanks going to be fighting it, 834 00:45:02,160 --> 00:45:05,880 Speaker 1: it may actually not matter to compare evaluations now versus 835 00:45:05,920 --> 00:45:10,040 Speaker 1: five years ago, but there are putting that context out there. 836 00:45:10,080 --> 00:45:13,879 Speaker 1: There are still things that look really interesting from evaluation 837 00:45:13,960 --> 00:45:16,839 Speaker 1: perspective through different types of metrics, and so one that 838 00:45:16,880 --> 00:45:20,000 Speaker 1: stands out to me is what's happening right now in 839 00:45:20,160 --> 00:45:23,680 Speaker 1: the biotech space. UM. So something that interests me is 840 00:45:23,719 --> 00:45:27,320 Speaker 1: that if you look at XBI as an example, UM, 841 00:45:27,360 --> 00:45:31,040 Speaker 1: this is the small and mid cap biotech e t 842 00:45:31,280 --> 00:45:34,520 Speaker 1: f UM. It's market cap is now the whole et 843 00:45:34,719 --> 00:45:38,120 Speaker 1: f UM a little bit less than five billion dollars. 844 00:45:39,040 --> 00:45:42,759 Speaker 1: If you take that, compare it to cash on the 845 00:45:42,760 --> 00:45:46,520 Speaker 1: balance sheet of large pharma companies. So just take the 846 00:45:46,560 --> 00:45:50,560 Speaker 1: top twelve largest pharma companies globally. They have six hundred 847 00:45:50,600 --> 00:45:53,880 Speaker 1: billion dollars of cash on their balance sheet. So cash 848 00:45:53,920 --> 00:45:57,040 Speaker 1: on balance sheet of big pharma companies is actually larger 849 00:45:57,080 --> 00:46:00,640 Speaker 1: than the market cap of small MidCap biotech UM. And 850 00:46:00,680 --> 00:46:03,600 Speaker 1: the last time we got anywhere near those types of 851 00:46:03,640 --> 00:46:07,080 Speaker 1: extremes was actually in two thousands fifteen, which was the 852 00:46:07,160 --> 00:46:11,520 Speaker 1: last bottom for biotech. So again, not very skills at 853 00:46:11,560 --> 00:46:14,279 Speaker 1: calling things over days or weeks or even months, but 854 00:46:14,360 --> 00:46:16,080 Speaker 1: it would suggest to me, if the part of the 855 00:46:16,120 --> 00:46:19,239 Speaker 1: market that you're looking to get involved in, those valuations 856 00:46:19,280 --> 00:46:22,759 Speaker 1: are very meaningful and I think quite supportive. Does that 857 00:46:22,840 --> 00:46:25,600 Speaker 1: suggest at all that some of those big, bigger biotech 858 00:46:25,680 --> 00:46:28,000 Speaker 1: firms might go on a little bit of a shopping spree. 859 00:46:28,320 --> 00:46:30,640 Speaker 1: You know and and snatch up some of those smaller firms. 860 00:46:32,480 --> 00:46:37,600 Speaker 1: Being acquisitive has been quite helpful to some large form 861 00:46:37,600 --> 00:46:40,200 Speaker 1: of companies because they need to stay on the leading 862 00:46:40,280 --> 00:46:42,799 Speaker 1: edge of innovation, and obviously some of that innovation is 863 00:46:42,840 --> 00:46:46,279 Speaker 1: happening in this small space. So it is possible, um, 864 00:46:46,480 --> 00:46:49,480 Speaker 1: that you will actually see some takeouts, and in fact 865 00:46:49,520 --> 00:46:53,160 Speaker 1: we we seen a couple um or and also intentions 866 00:46:53,160 --> 00:46:55,040 Speaker 1: to do that in the last few weeks. So the 867 00:46:55,080 --> 00:46:58,600 Speaker 1: answers yes, and I think that that level of firepower 868 00:46:58,960 --> 00:47:01,799 Speaker 1: suggests that there's some floor to these companies. Now, the 869 00:47:01,840 --> 00:47:04,239 Speaker 1: reality is some of these biotech companies, when you know, 870 00:47:04,320 --> 00:47:06,040 Speaker 1: I can keep going on and on and saying how 871 00:47:06,080 --> 00:47:07,920 Speaker 1: some of them are trading for less than cash and 872 00:47:07,960 --> 00:47:12,440 Speaker 1: the balance sheet are less than cash. Let's their enterprise value, um, etcetera. 873 00:47:12,719 --> 00:47:15,000 Speaker 1: They are burning cash. I mean, that's what they do. 874 00:47:15,040 --> 00:47:17,080 Speaker 1: They spend a lot of cash trying to get these 875 00:47:17,120 --> 00:47:19,600 Speaker 1: drugs to the market. But they're not all they're not 876 00:47:19,640 --> 00:47:21,680 Speaker 1: all going under, They're not all worth less than the 877 00:47:21,719 --> 00:47:24,919 Speaker 1: cash on their balance sheet. So I think, um, there 878 00:47:24,960 --> 00:47:28,760 Speaker 1: there is opportunity there, and it does suggest a floor. Anyway, 879 00:47:28,840 --> 00:47:32,120 Speaker 1: I will pivot now to my craziest thing. As Vildona 880 00:47:32,120 --> 00:47:33,759 Speaker 1: will tell you, Katie, I'm a I'm a big fan 881 00:47:33,800 --> 00:47:38,279 Speaker 1: of the art market, especially the crazy art market, if 882 00:47:38,280 --> 00:47:42,279 Speaker 1: you will. And uh, I like art when it has 883 00:47:42,320 --> 00:47:45,080 Speaker 1: a message. So this brings us to a story from 884 00:47:45,120 --> 00:47:49,640 Speaker 1: the Irish time. There are times there's a young Irish 885 00:47:49,800 --> 00:47:54,400 Speaker 1: artist named Shane Berkery, thirty years old. He decided to 886 00:47:54,560 --> 00:47:59,919 Speaker 1: paint a picture of a nude Vladimir Putin. Um and why, 887 00:48:00,040 --> 00:48:02,760 Speaker 1: you may ask, would he paint a nude Vladimir Putin? 888 00:48:02,880 --> 00:48:06,280 Speaker 1: And he said, Uh, wanted it to be a reminder 889 00:48:06,320 --> 00:48:08,719 Speaker 1: that this person is also just a man. And I 890 00:48:08,719 --> 00:48:11,040 Speaker 1: guess it's just to highlight how absurd it is that 891 00:48:11,080 --> 00:48:14,000 Speaker 1: so many people are dying and lives are being destroyed 892 00:48:14,440 --> 00:48:17,759 Speaker 1: because of decisions he makes. So his solution was to 893 00:48:18,440 --> 00:48:21,400 Speaker 1: paint Putin in the buff and then they auctioned it 894 00:48:21,440 --> 00:48:27,160 Speaker 1: off in an auction to benefit the Red Crosses efforts 895 00:48:27,400 --> 00:48:32,880 Speaker 1: in Ukraine. So that obviously gives us Fildonna an opportunity 896 00:48:33,160 --> 00:48:36,799 Speaker 1: here to play the prices, right, what do you suppose 897 00:48:37,239 --> 00:48:41,280 Speaker 1: the winning bid for a nude painting of Vladimir Putin 898 00:48:41,480 --> 00:48:47,319 Speaker 1: went for and in auction in Ireland. Listeners can see me, 899 00:48:47,360 --> 00:48:51,120 Speaker 1: but I'm totally rolling my eyes as as you do, 900 00:48:51,360 --> 00:48:55,719 Speaker 1: as I should be. I'll go with it's got to 901 00:48:55,760 --> 00:49:00,960 Speaker 1: be low, right unless you can never count the oligarch bit. 902 00:49:01,080 --> 00:49:03,919 Speaker 1: But I'm not. I'm keeping a poker face not saying either. 903 00:49:04,120 --> 00:49:08,480 Speaker 1: I'm gonna go with dollars and that's that's like, I 904 00:49:08,520 --> 00:49:11,680 Speaker 1: think that's okay, Well it's it's in British pounds, so 905 00:49:11,719 --> 00:49:13,759 Speaker 1: i'd have to I'd have to look up the exchange rate. 906 00:49:13,800 --> 00:49:18,920 Speaker 1: But thousand, thirty five thousands of British pounds, Katie, this 907 00:49:19,000 --> 00:49:25,439 Speaker 1: is the time to impress your clients here with your skills. 908 00:49:25,480 --> 00:49:29,280 Speaker 1: I think a half hour you guys talking about markets 909 00:49:29,280 --> 00:49:31,640 Speaker 1: and someone will be impressed by manswer to this. I'm 910 00:49:31,640 --> 00:49:35,920 Speaker 1: in the wrong business, but you get you get the 911 00:49:36,000 --> 00:49:40,360 Speaker 1: luxury of price's right rules. So I felt that is 912 00:49:40,400 --> 00:49:44,520 Speaker 1: saying thirty five thousand. You know it's if she goes over, 913 00:49:44,600 --> 00:49:48,840 Speaker 1: she she's wrong. So you could you know, okay, you 914 00:49:48,840 --> 00:49:50,680 Speaker 1: could be gonna say, oh, I can do that, I 915 00:49:50,719 --> 00:49:55,160 Speaker 1: can do the one dollar. You could Okay, you never 916 00:49:55,200 --> 00:49:57,839 Speaker 1: know what some oligarch might might did. I don't know. 917 00:49:58,040 --> 00:50:01,560 Speaker 1: I'm not I'm not I'm not sure. I'm gonna. I'm 918 00:50:01,600 --> 00:50:04,760 Speaker 1: not gonna editorialize at all, but all of my thoughts 919 00:50:04,760 --> 00:50:10,960 Speaker 1: are captured in one dollar. That is why jealous of that. 920 00:50:11,200 --> 00:50:13,480 Speaker 1: I went with that. I wish I went with that. 921 00:50:13,480 --> 00:50:19,120 Speaker 1: That is why she's the c I O. Your clients 922 00:50:19,160 --> 00:50:24,080 Speaker 1: will be impressed, katounds which still seems high, but uh, 923 00:50:24,520 --> 00:50:26,799 Speaker 1: nothing like the spender of vill Donna was ready to 924 00:50:26,840 --> 00:50:29,640 Speaker 1: bid on on that. I was thinking of the oligon. 925 00:50:29,840 --> 00:50:33,000 Speaker 1: Yeah it's true, but they their money is all tied up. 926 00:50:33,040 --> 00:50:38,120 Speaker 1: They can't they can't access and spend it. So um, 927 00:50:38,160 --> 00:50:41,320 Speaker 1: that was a weird one as it was. Yes, yeah, 928 00:50:41,480 --> 00:50:45,400 Speaker 1: that wasn't I take I take that as a compliment, right, No, 929 00:50:45,840 --> 00:50:51,880 Speaker 1: not super weird. Alright, Katie, I promise you that's the 930 00:50:51,920 --> 00:50:54,440 Speaker 1: most awkward segment of the podcast. So no, but I 931 00:50:54,480 --> 00:50:56,440 Speaker 1: also feel like you kind of cheated because you were 932 00:50:56,440 --> 00:50:58,680 Speaker 1: supposed to like give your fun fact, but you made 933 00:50:58,680 --> 00:51:01,200 Speaker 1: it a test for us. I don't know that. I 934 00:51:01,640 --> 00:51:08,839 Speaker 1: always cheat, always cheat. Okay, that's how long super long 935 00:51:08,960 --> 00:51:12,120 Speaker 1: questions that take like twenty minutes to ask and cheating 936 00:51:12,120 --> 00:51:15,920 Speaker 1: on crazy? Well, I you know, I think I was 937 00:51:15,960 --> 00:51:17,960 Speaker 1: born to be a game show host. So I'm just 938 00:51:18,040 --> 00:51:20,439 Speaker 1: as me, just kind of you know, throw that out there, 939 00:51:20,600 --> 00:51:25,120 Speaker 1: trying prices right ever needs Bob Barker retires, he must 940 00:51:25,160 --> 00:51:28,799 Speaker 1: have retired already, but anyway, just throw that out there. 941 00:51:29,200 --> 00:51:32,520 Speaker 1: I'm um, no, but is there? Most importantly, what's like 942 00:51:32,760 --> 00:51:34,680 Speaker 1: if you said this is the price is right? You 943 00:51:34,719 --> 00:51:36,880 Speaker 1: took your fact, you made it into a contest. I 944 00:51:37,719 --> 00:51:40,879 Speaker 1: want it sounds like, so, what's the prize like? Right right? 945 00:51:42,120 --> 00:51:45,759 Speaker 1: The respected admiration of all of the what shows up 946 00:51:46,000 --> 00:51:50,880 Speaker 1: listeners and an invitation an invitation employee please join us 947 00:51:50,920 --> 00:51:54,120 Speaker 1: again because it's always, uh, such a treat to get 948 00:51:54,120 --> 00:51:56,480 Speaker 1: your insights Katie and hear what you guys are up 949 00:51:56,520 --> 00:52:00,600 Speaker 1: to at Goldman Sachs Asset Management, a small Wall Street 950 00:52:00,640 --> 00:52:03,800 Speaker 1: firm that maybe maybe one or two listeners have heard of. 951 00:52:04,400 --> 00:52:07,279 Speaker 1: I don't know. I want to. I really appreciate you 952 00:52:07,280 --> 00:52:08,879 Speaker 1: guys having me here, and I just want to leave 953 00:52:08,920 --> 00:52:10,840 Speaker 1: people with the message that I know this is a 954 00:52:10,960 --> 00:52:15,440 Speaker 1: very difficult market environment. We're working very hard for our clients. 955 00:52:15,520 --> 00:52:20,560 Speaker 1: Don't panic, it doesn't pay. It's very difficult to time markets, 956 00:52:20,640 --> 00:52:23,320 Speaker 1: you know, stay invested, and um, we'll get to the 957 00:52:23,400 --> 00:52:26,279 Speaker 1: other side of this, just like every other correction that 958 00:52:26,320 --> 00:52:29,719 Speaker 1: we've had and been able to manage through, so appreciate 959 00:52:29,760 --> 00:52:31,560 Speaker 1: the chance to be on here and share that message 960 00:52:31,560 --> 00:52:34,640 Speaker 1: with people. Thank you so much for your time, Katie, 961 00:52:34,640 --> 00:52:44,960 Speaker 1: really appreciate it. Thank you, Katie. Bye, guys, What Goes Up. 962 00:52:44,960 --> 00:52:46,840 Speaker 1: We'll be back next week and so then you can 963 00:52:46,880 --> 00:52:49,799 Speaker 1: find us on the Bloomberg Terminal, website and app or 964 00:52:49,800 --> 00:52:52,560 Speaker 1: wherever you get your podcast. We love it if you 965 00:52:52,600 --> 00:52:54,640 Speaker 1: took the time to rate and review the show on 966 00:52:54,719 --> 00:52:57,960 Speaker 1: Apple Podcasts, so more listeners can find us. And you 967 00:52:57,960 --> 00:53:00,719 Speaker 1: can find us on Twitter, follow me at reag Anonymous, 968 00:53:01,400 --> 00:53:05,120 Speaker 1: Bildanna hierarch is at Bildonna Hirich. You can also follow 969 00:53:05,120 --> 00:53:09,719 Speaker 1: Bloomberg Podcasts at Podcasts. What Goes Up is produced by 970 00:53:09,760 --> 00:53:13,120 Speaker 1: Stacy Wang. The head of Bloomberg podcast is Francesco Levie. 971 00:53:13,280 --> 00:53:14,799 Speaker 1: Thanks for listening. To see you next time.