1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,640 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,799 Speaker 1: at Bloomberg dot com slash podcast. Well, the story this morning, 7 00:00:23,040 --> 00:00:25,200 Speaker 1: it's been the rate market. We have the tenure treatories. 8 00:00:25,239 --> 00:00:27,240 Speaker 1: Charlie is just reporting one point four eight percent. We 9 00:00:27,280 --> 00:00:29,760 Speaker 1: did test one point five one in the thirty year 10 00:00:29,760 --> 00:00:31,880 Speaker 1: we are at a two point zero four percent. We're 11 00:00:31,960 --> 00:00:34,760 Speaker 1: just about two percent right now. Um, what's that mean? 12 00:00:34,800 --> 00:00:37,000 Speaker 1: What's that telling us? Here? Let's bring in Tom Purcelly, 13 00:00:37,360 --> 00:00:40,159 Speaker 1: chief US economists for OURBC Capital Markets. Tom, thanks so 14 00:00:40,240 --> 00:00:42,480 Speaker 1: much for joining us here. We've seen rates move up 15 00:00:42,479 --> 00:00:46,480 Speaker 1: pretty significantly, just by relative standards over the last couple 16 00:00:46,479 --> 00:00:48,599 Speaker 1: of years, just in the last a couple of days here. 17 00:00:49,040 --> 00:00:51,600 Speaker 1: What do you take away from it? Yeah, I mean, look, 18 00:00:51,600 --> 00:00:55,480 Speaker 1: I think that, um, you know, the move higher makes sense. 19 00:00:55,760 --> 00:00:58,639 Speaker 1: Um that the tomming may not. You know, this all 20 00:00:58,680 --> 00:01:02,440 Speaker 1: happened to day's after the the FOMC meeting but UM no, 21 00:01:02,720 --> 00:01:05,440 Speaker 1: I think we're moving um sort of directionally. I think 22 00:01:05,440 --> 00:01:07,720 Speaker 1: that this is all pretty consistent with you know, the 23 00:01:07,760 --> 00:01:10,280 Speaker 1: idea that look, um, you know, we're moving away or 24 00:01:10,440 --> 00:01:13,640 Speaker 1: going to be moving away from, you know, emergency levels 25 00:01:13,680 --> 00:01:16,440 Speaker 1: of accommodation. And I mean I think that is um, 26 00:01:16,600 --> 00:01:19,760 Speaker 1: you know, where we are from an economic backdrop perspective, 27 00:01:19,959 --> 00:01:22,080 Speaker 1: UM growth is. You know. It's funny. So so let 28 00:01:22,160 --> 00:01:23,840 Speaker 1: me freeing the conversation this way, because I think this 29 00:01:23,920 --> 00:01:26,600 Speaker 1: is a really important UM idea for for people to 30 00:01:26,640 --> 00:01:29,280 Speaker 1: keep in mind. You know, when when you think about 31 00:01:29,319 --> 00:01:32,360 Speaker 1: the last hiking cycle, um, you know, the one that 32 00:01:32,360 --> 00:01:35,640 Speaker 1: the FED started back in Uh, you know, the FET 33 00:01:35,720 --> 00:01:39,520 Speaker 1: had the luxury of of going really slow, right, you know, 34 00:01:39,600 --> 00:01:42,440 Speaker 1: we had the jobless recovery. UM, you know output you 35 00:01:42,440 --> 00:01:44,520 Speaker 1: know I E G d P. You know, didn't get 36 00:01:44,560 --> 00:01:48,000 Speaker 1: back um to the sort of the pre GFC level 37 00:01:48,600 --> 00:01:51,400 Speaker 1: the Great Financial Crisis, the pre GFC level of growth. 38 00:01:51,400 --> 00:01:54,120 Speaker 1: For it, it took like a decade. I mean, you know, 39 00:01:54,240 --> 00:01:57,560 Speaker 1: the unemployment was elevated for years. Um, none of that's 40 00:01:57,560 --> 00:02:00,920 Speaker 1: happened now, you know. Now it's taken eighteen months for 41 00:02:01,000 --> 00:02:03,240 Speaker 1: us to basically get back to where we were pre 42 00:02:03,360 --> 00:02:06,080 Speaker 1: pandemic level of output for the unemployment rate to you know, 43 00:02:06,160 --> 00:02:08,880 Speaker 1: really show meaningful improvement. So I think that this is 44 00:02:08,919 --> 00:02:11,400 Speaker 1: all going to be much more accelerated relative particularly relative 45 00:02:11,440 --> 00:02:13,880 Speaker 1: to what we saw after the GFC. Well to that point, Tom, 46 00:02:13,919 --> 00:02:16,519 Speaker 1: with kind of the trajectory that the FED has outlined 47 00:02:16,560 --> 00:02:19,320 Speaker 1: here a taper announcement likely in November, and then rate 48 00:02:19,400 --> 00:02:24,120 Speaker 1: liftoff possibly in even with that timeline, do they risk 49 00:02:24,200 --> 00:02:26,919 Speaker 1: being too far behind the curve? I mean, look, you 50 00:02:26,960 --> 00:02:30,040 Speaker 1: know so uh you know this is the should verse 51 00:02:30,120 --> 00:02:32,959 Speaker 1: would part right, And I learned long ago, um that 52 00:02:33,000 --> 00:02:35,400 Speaker 1: I'm always supposed to forecast, but the FED will do 53 00:02:35,520 --> 00:02:37,160 Speaker 1: nobody I think they should do. Do I think the 54 00:02:37,160 --> 00:02:40,480 Speaker 1: FED should have started this process um months ago. Yeah, 55 00:02:40,600 --> 00:02:43,079 Speaker 1: I do. And I think the people that know our 56 00:02:43,400 --> 00:02:46,160 Speaker 1: research well know that you know, we've that that that's 57 00:02:46,200 --> 00:02:50,680 Speaker 1: the sort of the side of them, the the this 58 00:02:50,760 --> 00:02:52,400 Speaker 1: equation that we will come down on the FED was 59 00:02:52,440 --> 00:02:54,320 Speaker 1: supposed to start this much sooner, but again we were 60 00:02:54,320 --> 00:02:57,240 Speaker 1: also acutely aware, um that that's probably not what they 61 00:02:57,240 --> 00:02:59,520 Speaker 1: were going to do. So I think this is all 62 00:02:59,639 --> 00:03:02,720 Speaker 1: pretty much in keeping with what Powell has um laid 63 00:03:02,720 --> 00:03:05,280 Speaker 1: out in terms of the sort of the you know, 64 00:03:05,360 --> 00:03:08,880 Speaker 1: starting this process in a very slow, methodical fashion. UM. 65 00:03:08,919 --> 00:03:11,840 Speaker 1: I think it's all in keeping with with what Powell wanted. UM, 66 00:03:11,880 --> 00:03:14,720 Speaker 1: But I again I would hasten to add UM. Just 67 00:03:14,800 --> 00:03:17,320 Speaker 1: keep in mind, one day pal said they were not 68 00:03:17,360 --> 00:03:19,760 Speaker 1: going to taper, and you know, the next week they said, 69 00:03:19,760 --> 00:03:21,760 Speaker 1: we're going to tape it. Right, And it's the same 70 00:03:21,800 --> 00:03:24,000 Speaker 1: thing is going to happen from a rate hike perspective, 71 00:03:24,000 --> 00:03:25,799 Speaker 1: I mean, palatine the same thing right now, we're knock 72 00:03:25,800 --> 00:03:28,440 Speaker 1: going to hike rates, but it'll it'll evolve in the 73 00:03:28,440 --> 00:03:31,160 Speaker 1: same way. And so twenty two for us, UM. You know, 74 00:03:31,200 --> 00:03:33,880 Speaker 1: again I think that they should at least give us 75 00:03:33,919 --> 00:03:35,800 Speaker 1: one hike. I mean again, now the median has shifted 76 00:03:35,840 --> 00:03:37,640 Speaker 1: for a hike. But again, just keep in mind something. 77 00:03:38,040 --> 00:03:42,200 Speaker 1: If you look at their their twenty two unemployment rate forecast, UM, 78 00:03:42,200 --> 00:03:45,160 Speaker 1: it's about three point eight percent. That's not very different 79 00:03:45,160 --> 00:03:48,280 Speaker 1: than where we were pre pandemic. And in mind where 80 00:03:48,320 --> 00:03:51,680 Speaker 1: we were pre pandemic from a funds perspective, we're to fifty, right, 81 00:03:51,720 --> 00:03:55,120 Speaker 1: So two fifty then equated um to uh, you know, 82 00:03:55,720 --> 00:03:58,480 Speaker 1: or it was roughly equivalent to an unemployment rate that 83 00:03:58,600 --> 00:04:00,320 Speaker 1: was you know, where they expect it to be in 84 00:04:00,320 --> 00:04:02,520 Speaker 1: twenty two, but now in twenty two it only equates 85 00:04:02,560 --> 00:04:04,600 Speaker 1: to one hike. I mean that seems inconsistent to us 86 00:04:04,640 --> 00:04:06,840 Speaker 1: again the process, and we're not going to beat up 87 00:04:06,880 --> 00:04:08,800 Speaker 1: on them. I think that they do. I want to 88 00:04:09,200 --> 00:04:11,440 Speaker 1: go in a very slow fashion. But I think that 89 00:04:11,480 --> 00:04:14,840 Speaker 1: there's a very uh, it's very inconsistent. And Tom, we 90 00:04:14,840 --> 00:04:17,640 Speaker 1: saw in the Fed's release taking down their economic growth 91 00:04:17,680 --> 00:04:21,800 Speaker 1: forecast yet taking up uh their inflation outlook. Does that 92 00:04:22,120 --> 00:04:25,320 Speaker 1: suggest stag inflation for this US economy? No, I think 93 00:04:25,440 --> 00:04:27,240 Speaker 1: you know, I have to be honest. I hate that. 94 00:04:27,320 --> 00:04:29,680 Speaker 1: I hate this conversation in that um, you know, the 95 00:04:29,680 --> 00:04:32,960 Speaker 1: stagflation part of the conversation, because I can make I 96 00:04:33,000 --> 00:04:35,720 Speaker 1: can get on board with deflation part, I can't get 97 00:04:35,720 --> 00:04:38,080 Speaker 1: in part board with the stag part. I mean, you know, 98 00:04:38,080 --> 00:04:42,279 Speaker 1: we're looking at what four or five growth UM next year? Uh? 99 00:04:42,320 --> 00:04:44,200 Speaker 1: You know that. And by the way, that's our own forecast, 100 00:04:44,240 --> 00:04:46,279 Speaker 1: which interestingly enough, is an inconsistent with the FED. I mean, 101 00:04:46,320 --> 00:04:48,160 Speaker 1: I think the FED is around four percent for twenty two, 102 00:04:48,240 --> 00:04:50,919 Speaker 1: six percent for twenty one UM numbers that are in 103 00:04:50,920 --> 00:04:55,560 Speaker 1: line with us. What what what stag about that? You're 104 00:04:55,600 --> 00:04:59,160 Speaker 1: still multiples above potential growth. I mean that I'm a 105 00:04:59,160 --> 00:05:02,120 Speaker 1: fader of that. In higher conversation to stag part of it, 106 00:05:02,160 --> 00:05:04,080 Speaker 1: the flation part of it, I can buy into more. 107 00:05:04,120 --> 00:05:07,159 Speaker 1: But yeah, and obviously the Fed is looking at the 108 00:05:07,160 --> 00:05:08,840 Speaker 1: flation part, and then they also have to look at 109 00:05:08,839 --> 00:05:10,120 Speaker 1: the other part of their dual. Mean that it was 110 00:05:10,160 --> 00:05:14,120 Speaker 1: just trying to maximize employment. As we look ahead to 111 00:05:14,560 --> 00:05:16,800 Speaker 1: the job's report we're getting on October eight than that 112 00:05:16,839 --> 00:05:20,160 Speaker 1: print for September, I'm wondering what you're expecting to see, 113 00:05:20,240 --> 00:05:22,680 Speaker 1: given even though additional benefits have started to roll off, 114 00:05:22,760 --> 00:05:25,480 Speaker 1: you haven't actually seen the corresponding return of people to 115 00:05:25,560 --> 00:05:27,960 Speaker 1: the labor market. Yeah, so we don't have a Um, 116 00:05:27,960 --> 00:05:32,360 Speaker 1: we'll have a forecast for next Friday's Piero report this Thursday. UM, 117 00:05:32,400 --> 00:05:35,360 Speaker 1: but what I can tell you is, you know, and 118 00:05:35,600 --> 00:05:37,760 Speaker 1: I have people already asking about it, as you would expect. 119 00:05:37,760 --> 00:05:40,760 Speaker 1: You know, you know now that the um the kicker 120 00:05:40,800 --> 00:05:44,679 Speaker 1: has expired. You know, well the generous kicker has expired. Well, Olson, 121 00:05:44,680 --> 00:05:47,440 Speaker 1: we'll see this, you know, um burst of hiring. No, 122 00:05:47,560 --> 00:05:49,000 Speaker 1: we we we don't think that that's how it's going 123 00:05:49,040 --> 00:05:51,440 Speaker 1: to happen. Um, you know, I don't think there's another 124 00:05:51,560 --> 00:05:54,520 Speaker 1: you know, sort of million plus job print waiting out 125 00:05:54,560 --> 00:05:56,360 Speaker 1: there for us. I think it'll be a bit slower 126 00:05:56,400 --> 00:05:59,480 Speaker 1: than that. Again, you know, is it another two thousand 127 00:05:59,520 --> 00:06:01,719 Speaker 1: like we saw last month. No, I think I probably 128 00:06:01,800 --> 00:06:03,640 Speaker 1: will wind up looking a little bit better than that. Again, 129 00:06:03,760 --> 00:06:05,479 Speaker 1: I got to go through the numbers still, But I 130 00:06:05,480 --> 00:06:10,760 Speaker 1: think more importantly, who doesn't matter? Palt basically pulled us 131 00:06:10,760 --> 00:06:13,760 Speaker 1: already that it's um uh, you know, as long as 132 00:06:13,839 --> 00:06:16,080 Speaker 1: we see you know, a sort of another decent pay 133 00:06:16,080 --> 00:06:18,040 Speaker 1: will report, and he already had the two thirty five 134 00:06:18,080 --> 00:06:19,960 Speaker 1: in hand, so I'm guessing that that sort of would 135 00:06:20,000 --> 00:06:23,800 Speaker 1: meet some of the criteria quote unquote decent. Then I 136 00:06:23,839 --> 00:06:26,360 Speaker 1: think that you know, tapers on and again if their 137 00:06:26,400 --> 00:06:28,799 Speaker 1: forecast for the end of next year comes into play, 138 00:06:29,080 --> 00:06:31,440 Speaker 1: that we're back to where we were pre pandemic um 139 00:06:31,520 --> 00:06:33,600 Speaker 1: and that should be enough for the to to start 140 00:06:33,640 --> 00:06:35,960 Speaker 1: the process of lifting rights. Is there as we're talking 141 00:06:36,000 --> 00:06:38,400 Speaker 1: about labor, is there a point where we really need 142 00:06:38,440 --> 00:06:43,159 Speaker 1: to think about realistically wage inflation? I mean, it's happening, 143 00:06:43,279 --> 00:06:46,200 Speaker 1: right you know, wage inflation. Wage inflation is upon us 144 00:06:46,279 --> 00:06:49,120 Speaker 1: right right now. I think you know, again, most people 145 00:06:49,120 --> 00:06:52,400 Speaker 1: are aware that you know, eleven million job openings, people 146 00:06:52,440 --> 00:06:55,719 Speaker 1: having a hard time finding workers. As results, wage pressures 147 00:06:55,720 --> 00:06:58,760 Speaker 1: are building. But again I would hasten to add, I 148 00:06:59,480 --> 00:07:02,359 Speaker 1: don't think that that means that that these games that 149 00:07:02,440 --> 00:07:05,800 Speaker 1: we've seen are going to be sustained. I don't think 150 00:07:05,800 --> 00:07:08,280 Speaker 1: that they are. Um. I think leisure in hospitality is 151 00:07:08,320 --> 00:07:10,640 Speaker 1: sort of a great example of that. Leisure in hospitality 152 00:07:10,680 --> 00:07:13,640 Speaker 1: is the biggest shortfall in jobs right now, excuse me, 153 00:07:14,040 --> 00:07:16,080 Speaker 1: And once um, you start to get some of those 154 00:07:16,160 --> 00:07:18,360 Speaker 1: jobs back, you know, when there's you know, three and 155 00:07:18,400 --> 00:07:21,480 Speaker 1: four and five people, um applying for a job for 156 00:07:21,520 --> 00:07:24,680 Speaker 1: a single job, I think that those wage pressures can abate. 157 00:07:24,800 --> 00:07:28,600 Speaker 1: But again, the benefit has already has already materialized, right. 158 00:07:28,640 --> 00:07:30,720 Speaker 1: I mean we're now well above where we were a 159 00:07:30,720 --> 00:07:33,560 Speaker 1: pre pandemic from a wage pressure perspective. So I think 160 00:07:33,560 --> 00:07:37,240 Speaker 1: the level of wages is going to matter very much 161 00:07:37,280 --> 00:07:39,280 Speaker 1: so in the months to come, more so than than 162 00:07:39,320 --> 00:07:41,040 Speaker 1: the rate, because again I just don't think that that 163 00:07:41,120 --> 00:07:43,920 Speaker 1: these rates can be maintained. All right, Tom, Hey, we 164 00:07:44,000 --> 00:07:46,960 Speaker 1: really appreciate getting your thoughts here, Tom. Lots of data, 165 00:07:47,040 --> 00:07:48,920 Speaker 1: lots of moving parts out there, so it's good to 166 00:07:48,920 --> 00:07:52,640 Speaker 1: get your perspective. Tom, Percelly, chief US economists for OURBC 167 00:07:52,880 --> 00:07:56,320 Speaker 1: Capital Markets, joining us here, and and uh Kaylee, you 168 00:07:56,360 --> 00:07:59,320 Speaker 1: just reminded as Amazon target cut it Morgan Stanley on 169 00:07:59,400 --> 00:08:03,560 Speaker 1: impact from rising wages. So yeah, exactly, the cost of 170 00:08:03,640 --> 00:08:05,680 Speaker 1: labor is going up for a lot of companies. And 171 00:08:05,720 --> 00:08:08,240 Speaker 1: that's not just a conversation for the FED and wage inflation. 172 00:08:08,640 --> 00:08:11,080 Speaker 1: That's earnings and what that's going to mean for margins. Yeah, 173 00:08:11,120 --> 00:08:13,280 Speaker 1: that's a great point. And so the question is how 174 00:08:13,320 --> 00:08:16,360 Speaker 1: transitory are some of these factors versus you know, how 175 00:08:16,480 --> 00:08:18,800 Speaker 1: longer term we'll have more certainly coming up on all 176 00:08:18,840 --> 00:08:24,800 Speaker 1: of those issues. This is Bloomberg, Good morning. All right, 177 00:08:24,840 --> 00:08:26,720 Speaker 1: let's bring in Frank Holmes. Frank is the CEO and 178 00:08:26,760 --> 00:08:30,400 Speaker 1: chief investment officer of US Global Investors. He's also executive 179 00:08:30,440 --> 00:08:34,319 Speaker 1: chairman of Hive Blockchain Technologies. Joining us on the phone 180 00:08:34,400 --> 00:08:37,400 Speaker 1: from San Antonio, Texas. Franks, thanks so much for joining 181 00:08:37,440 --> 00:08:40,480 Speaker 1: us again here. I want to start with crypto. I 182 00:08:40,520 --> 00:08:42,400 Speaker 1: just want to get your thoughts because since the last 183 00:08:42,400 --> 00:08:45,840 Speaker 1: time we chatted, China has taken a decidedly different approach 184 00:08:45,920 --> 00:08:50,760 Speaker 1: to kind of all things crypto. What's your take, Well, 185 00:08:50,800 --> 00:08:55,600 Speaker 1: it's it's the leadership actually believes that they allowed under 186 00:08:55,640 --> 00:08:59,439 Speaker 1: Danks helping capitalism was a transitory phase to the road 187 00:08:59,520 --> 00:09:03,160 Speaker 1: to social and socialism is all about centralized and control. 188 00:09:03,840 --> 00:09:08,200 Speaker 1: And when we're witnessing an attack on all technology, limits 189 00:09:08,240 --> 00:09:12,720 Speaker 1: on capital returns and capital for risk taking um and 190 00:09:12,760 --> 00:09:16,080 Speaker 1: so you're seeing that this is now going into crypto 191 00:09:16,160 --> 00:09:18,880 Speaker 1: because they're coming up with their own digital money and 192 00:09:18,920 --> 00:09:20,800 Speaker 1: they and they just do not want to have anything 193 00:09:20,840 --> 00:09:23,960 Speaker 1: to compete with it um and next will be They've 194 00:09:23,960 --> 00:09:25,959 Speaker 1: been trying to push to compete against the US dollar, 195 00:09:27,120 --> 00:09:29,880 Speaker 1: but oil nations like Saudi Arabia, so they won't take 196 00:09:30,120 --> 00:09:33,120 Speaker 1: their currency want dollars. So now they're trying to buy 197 00:09:33,120 --> 00:09:35,400 Speaker 1: a lot of gold. You're seeing huge gold movements going 198 00:09:35,440 --> 00:09:39,520 Speaker 1: to China to try to create legitimacy behind their currency. 199 00:09:39,559 --> 00:09:41,800 Speaker 1: But they're further along in the path of having their 200 00:09:41,840 --> 00:09:45,200 Speaker 1: own digital money. But they become a non event. You know, 201 00:09:45,320 --> 00:09:48,880 Speaker 1: the markets bounced right back. It's been a big boom 202 00:09:48,920 --> 00:09:52,120 Speaker 1: for America UH in taxes in particular. I know that 203 00:09:52,400 --> 00:09:56,800 Speaker 1: building one point to gigabytes of UH energy that's stranded 204 00:09:56,920 --> 00:10:00,079 Speaker 1: from natural gas, which they can turn around to do 205 00:10:00,200 --> 00:10:04,240 Speaker 1: bitcoin mining. And you're seeing that more and more people 206 00:10:04,760 --> 00:10:08,240 Speaker 1: nodes are growing in America, so it's very very positive 207 00:10:08,280 --> 00:10:11,720 Speaker 1: this shift is happening here. Is that why we've seen 208 00:10:11,760 --> 00:10:15,320 Speaker 1: the crypto market basically take around trips since that China 209 00:10:15,400 --> 00:10:17,360 Speaker 1: news came out on Friday. I mean Bitcoin is back 210 00:10:17,360 --> 00:10:22,400 Speaker 1: around forty dollars like it never even happened, and Ethereum 211 00:10:22,440 --> 00:10:27,120 Speaker 1: jump twelve from those lows. Yes, you know that's a good, 212 00:10:27,200 --> 00:10:29,439 Speaker 1: you know, good observation. The same thing out of Europe. 213 00:10:29,600 --> 00:10:32,959 Speaker 1: What we noticed is that the number of miners in fact, 214 00:10:33,040 --> 00:10:38,280 Speaker 1: Etherorium is more decentralized than Bitcoin, because when China came 215 00:10:38,280 --> 00:10:42,480 Speaker 1: down with the hammer, uh, the mining, the number of 216 00:10:42,679 --> 00:10:46,120 Speaker 1: miners in the world dropped dramatically. So the difficulty there's 217 00:10:46,120 --> 00:10:48,920 Speaker 1: no competition felt greatly. So even though bitcoin felt the 218 00:10:49,000 --> 00:10:53,000 Speaker 1: thirty thousand, the profit margins we had were growing because 219 00:10:53,000 --> 00:10:56,439 Speaker 1: there's no competition because it basically it's limited to nine 220 00:10:56,520 --> 00:10:58,839 Speaker 1: hundred coins a day that you've run and it's a 221 00:10:58,920 --> 00:11:00,839 Speaker 1: jump ball to see if you can touch that ball, 222 00:11:01,360 --> 00:11:03,079 Speaker 1: and you got to touch that ball, then you can 223 00:11:03,120 --> 00:11:05,640 Speaker 1: mind coin. So we're minding close to eight coins a 224 00:11:05,760 --> 00:11:09,800 Speaker 1: day a bitcoin uh and and that difficulty only helped it. 225 00:11:09,920 --> 00:11:13,760 Speaker 1: Now it's been growing slightly because they would shift the Kazakhstan. 226 00:11:14,080 --> 00:11:16,160 Speaker 1: But the big move has come to the US, and 227 00:11:16,200 --> 00:11:20,439 Speaker 1: I think that's very positive. Ethereum hardly came off that difficulty. 228 00:11:20,800 --> 00:11:23,360 Speaker 1: All the gamers in the world when etherium rises, they 229 00:11:23,440 --> 00:11:25,960 Speaker 1: basically try to turn the machines on. They run up 230 00:11:26,000 --> 00:11:31,400 Speaker 1: their parents electrical bill and they take that GPU chip 231 00:11:31,480 --> 00:11:33,880 Speaker 1: they need and they minded an ethereum coin and then 232 00:11:33,880 --> 00:11:37,360 Speaker 1: they go off in a holiday. So Frank's I'm wondering, 233 00:11:37,559 --> 00:11:40,960 Speaker 1: you know that strategy for China here, because you know, 234 00:11:41,080 --> 00:11:43,680 Speaker 1: if you listen to the bowls of crypto and bitcoin, 235 00:11:43,760 --> 00:11:47,800 Speaker 1: it's the future, It's the future of decentralized finance. If 236 00:11:47,880 --> 00:11:50,079 Speaker 1: that is in fact the case, does China not run 237 00:11:50,120 --> 00:11:53,520 Speaker 1: the risk of just falling behind the global you know, 238 00:11:53,559 --> 00:11:59,400 Speaker 1: competitive landscape in terms of crypto, absolutely and in other technologies. 239 00:11:59,440 --> 00:12:03,719 Speaker 1: To mean it's return to socialism, is a return to 240 00:12:03,800 --> 00:12:06,079 Speaker 1: trying to drive your car looking out the review mirror 241 00:12:06,760 --> 00:12:10,640 Speaker 1: um and and there's nothing but guilt and shame and attack, 242 00:12:10,679 --> 00:12:14,240 Speaker 1: and everyone's looking out the review meer. You can't drive forward. Uh, 243 00:12:14,280 --> 00:12:17,280 Speaker 1: And so I think it's it's quite dangerous. Well, but 244 00:12:17,320 --> 00:12:19,560 Speaker 1: for in China also is in the process of rolling 245 00:12:19,559 --> 00:12:21,920 Speaker 1: out a digital you want, right, So in some way 246 00:12:21,960 --> 00:12:25,000 Speaker 1: you could argue maybe they're making space for that. How 247 00:12:25,040 --> 00:12:29,800 Speaker 1: do you think about kind of government controlled centralized digital 248 00:12:29,840 --> 00:12:33,000 Speaker 1: currencies versus the crypto world and the likes of bitcoin. 249 00:12:34,600 --> 00:12:36,800 Speaker 1: It's a complete opposite. And if you notice that the 250 00:12:36,840 --> 00:12:40,319 Speaker 1: more socialist the country is, the more they are anti 251 00:12:40,360 --> 00:12:44,120 Speaker 1: gold and they're anti bitcoin. Um, they wish to control 252 00:12:44,200 --> 00:12:46,400 Speaker 1: everything that has to do with money. Money is basically 253 00:12:46,440 --> 00:12:49,840 Speaker 1: evil unless the government is in control of it in 254 00:12:49,880 --> 00:12:52,560 Speaker 1: every part of it. When you just look around the 255 00:12:52,559 --> 00:12:54,800 Speaker 1: world for that idealist and that takes place, and that's 256 00:12:54,800 --> 00:12:58,840 Speaker 1: what happens, and and bitcoin is the opposite. About something 257 00:12:58,880 --> 00:13:01,840 Speaker 1: else is really important for all your listeners, is bitcoin 258 00:13:01,960 --> 00:13:05,360 Speaker 1: validated the blockchain. The blockchain was created by telecom companies 259 00:13:05,400 --> 00:13:09,120 Speaker 1: to move money in and it wasn't really validated to 260 00:13:09,160 --> 00:13:13,200 Speaker 1: the Bitcoin came along and showed this triple entry accounting 261 00:13:13,600 --> 00:13:17,200 Speaker 1: is a major breakthrough, an accounting that hasn't taken place 262 00:13:17,280 --> 00:13:21,040 Speaker 1: since the Medici's uh they created banking and the Venetians 263 00:13:21,360 --> 00:13:25,839 Speaker 1: in the four hundreds. So the bottom line is a 264 00:13:25,880 --> 00:13:30,040 Speaker 1: blockchain is going to grow and the adoption of bitcoin 265 00:13:30,800 --> 00:13:34,520 Speaker 1: is so decentralized as thirteen thousand nodes around the world. 266 00:13:34,880 --> 00:13:38,640 Speaker 1: So we're and and Hive is the first public company 267 00:13:38,640 --> 00:13:41,920 Speaker 1: to mind mot bitcoin etherory. And we only use green energy, 268 00:13:42,240 --> 00:13:45,400 Speaker 1: so we're not consumed with these other difficulties some of 269 00:13:45,400 --> 00:13:47,400 Speaker 1: the other miners have had. All right, Frank, thank you 270 00:13:47,440 --> 00:13:49,160 Speaker 1: so much for joining us. As always, we appreciate a 271 00:13:49,200 --> 00:13:52,240 Speaker 1: Franklin CEO and Chief Investment Officer of US Global Investors 272 00:13:54,520 --> 00:13:59,040 Speaker 1: Mo Hagmen, chief operating officer for Investo Investment Solutions. He 273 00:13:59,200 --> 00:14:02,000 Speaker 1: joins us to day. They've got their sixth annual Global 274 00:14:02,280 --> 00:14:05,640 Speaker 1: Global Factor Investing Study that's released today. We're gonna talk 275 00:14:05,679 --> 00:14:08,440 Speaker 1: to them all about that. Factor investing has become a big, 276 00:14:08,480 --> 00:14:11,800 Speaker 1: big way for folks to look at investing in these markets. Well, 277 00:14:11,840 --> 00:14:13,559 Speaker 1: thanks so much for joining us here. I love to 278 00:14:13,640 --> 00:14:17,040 Speaker 1: get your thoughts the highlights the takeaways from your Global 279 00:14:17,400 --> 00:14:21,920 Speaker 1: Factor Investing Study. Thank you for having me. Good morning. Yes, 280 00:14:21,960 --> 00:14:26,040 Speaker 1: as you mentioned, we released our sixth annual Factor Investing 281 00:14:26,080 --> 00:14:30,840 Speaker 1: Study today and the study basically interviews two forty or 282 00:14:30,880 --> 00:14:34,520 Speaker 1: so institutional and retail investors around the world. Roughly about 283 00:14:34,840 --> 00:14:37,760 Speaker 1: one trillion in assets by those ascid owners held by 284 00:14:37,800 --> 00:14:40,800 Speaker 1: those asset owners, and what's interesting is we continue to 285 00:14:40,840 --> 00:14:45,080 Speaker 1: see no surprise that factor investing continues to gain adoption, 286 00:14:45,720 --> 00:14:50,880 Speaker 1: both institutionally and more recently in the retail market. And specifically. 287 00:14:50,960 --> 00:14:53,320 Speaker 1: What was interesting this year as we saw a lot 288 00:14:53,360 --> 00:14:57,840 Speaker 1: of rotation within kind of the factor strategy landscape, given 289 00:14:57,920 --> 00:15:00,280 Speaker 1: kind of the markets and what we saw post the 290 00:15:00,400 --> 00:15:04,720 Speaker 1: presidential election last year, we've seen a very large shift 291 00:15:04,920 --> 00:15:08,960 Speaker 1: towards value and more procyclical factors at the expense of 292 00:15:09,000 --> 00:15:12,680 Speaker 1: defensive and low volatility factors which had been gaining a 293 00:15:12,680 --> 00:15:15,400 Speaker 1: lot of traction over the years. Well, and then when 294 00:15:15,440 --> 00:15:17,440 Speaker 1: we talk about the momentum factor as well, there was 295 00:15:17,480 --> 00:15:19,800 Speaker 1: a lot of conversation, particularly in kind of the first 296 00:15:19,880 --> 00:15:21,760 Speaker 1: quarter of the year when we saw that huge rush 297 00:15:21,840 --> 00:15:25,440 Speaker 1: into value, that value was then the new momentum when 298 00:15:25,440 --> 00:15:27,360 Speaker 1: it had been growth before. How do you think about 299 00:15:27,360 --> 00:15:30,560 Speaker 1: the momentum factor now given some of those dynamics. Yeah, 300 00:15:30,600 --> 00:15:34,400 Speaker 1: it's a very interesting observation. So momentum is a technical factor, 301 00:15:34,520 --> 00:15:37,240 Speaker 1: so it kind of shape shifts, it actually takes the 302 00:15:37,320 --> 00:15:41,200 Speaker 1: characteristics of other factors. And what we have seen over 303 00:15:41,240 --> 00:15:43,880 Speaker 1: the last twelve months is momentum looks very much like 304 00:15:44,080 --> 00:15:48,160 Speaker 1: value in size, whereas historically it had been very much 305 00:15:48,200 --> 00:15:51,680 Speaker 1: growth and kind of low volatility oriented, as the mega 306 00:15:51,760 --> 00:15:55,720 Speaker 1: cap tech companies were the best price performers. You're absolutely right. 307 00:15:55,760 --> 00:15:59,200 Speaker 1: We've seen actually some more concentration within the value and 308 00:15:59,200 --> 00:16:03,280 Speaker 1: momentum factor, and those two historically have been negatively correlated, 309 00:16:03,560 --> 00:16:07,040 Speaker 1: but more recently there's a positive correlation between those two factors. 310 00:16:08,080 --> 00:16:09,880 Speaker 1: So MO would just I'd love to take a step 311 00:16:09,880 --> 00:16:12,280 Speaker 1: back here. When I was an equity analyst and I'd 312 00:16:12,280 --> 00:16:14,480 Speaker 1: be walking into a meeting with a fun manager in Boston, 313 00:16:14,520 --> 00:16:16,880 Speaker 1: my salesperson returned to me and say, Oh, this person 314 00:16:16,960 --> 00:16:19,760 Speaker 1: is a growth investor. Or, This fund managers a value investor, 315 00:16:20,920 --> 00:16:24,280 Speaker 1: isn't So how is that different from this factor investing 316 00:16:24,280 --> 00:16:27,800 Speaker 1: we talk about. It's really not that different. I think 317 00:16:27,800 --> 00:16:30,120 Speaker 1: it's very much a different lens of looking at the 318 00:16:30,160 --> 00:16:32,840 Speaker 1: same thing. I think for a very long period of time, 319 00:16:32,880 --> 00:16:34,920 Speaker 1: we thought about the world in like the Morning Star 320 00:16:34,960 --> 00:16:38,480 Speaker 1: style box, where managers really had a discipline whether you're 321 00:16:38,480 --> 00:16:42,200 Speaker 1: a value fundamental manager or a growth manager. Factors are 322 00:16:42,240 --> 00:16:45,680 Speaker 1: actually a very precise way of capturing some of those 323 00:16:45,720 --> 00:16:49,800 Speaker 1: same outperformance characteristics. We know factors over the very long 324 00:16:49,920 --> 00:16:52,600 Speaker 1: term have a premier attached to them, very much like 325 00:16:52,680 --> 00:16:55,400 Speaker 1: asset classes have premiers attached to them, and you're actually 326 00:16:55,440 --> 00:16:59,200 Speaker 1: able to capture that by focusing in systematic ways on 327 00:16:59,240 --> 00:17:01,960 Speaker 1: parts of the equity market. So when you want value, 328 00:17:02,000 --> 00:17:04,879 Speaker 1: for example, in your portfolio, you look at fundamental metrics 329 00:17:04,920 --> 00:17:08,240 Speaker 1: such as earnings and revenues and cash flows, and you're 330 00:17:08,240 --> 00:17:11,080 Speaker 1: looking for cheapness in the market. When you look at momentum, 331 00:17:11,080 --> 00:17:14,640 Speaker 1: it's a technical factor which really looks at price appreciation 332 00:17:14,800 --> 00:17:18,119 Speaker 1: over the recent, recent past. So you know, it's not 333 00:17:18,240 --> 00:17:20,280 Speaker 1: really that much different. I think it's a new lens 334 00:17:20,320 --> 00:17:22,320 Speaker 1: of thinking about it. And what we've seen is that 335 00:17:22,359 --> 00:17:25,760 Speaker 1: adoption is actually moved, as you mentioned, from the equity 336 00:17:25,800 --> 00:17:28,840 Speaker 1: markets into fixed income. So this this year's factor study 337 00:17:29,280 --> 00:17:32,479 Speaker 1: was really interesting and that we saw investors looking at 338 00:17:32,520 --> 00:17:35,520 Speaker 1: fixed income factor strategies as a way to reduce cost 339 00:17:35,640 --> 00:17:38,440 Speaker 1: and a low yield environment. Well we're talking about fixed income. 340 00:17:38,480 --> 00:17:40,399 Speaker 1: I would love to just get your take on the 341 00:17:40,400 --> 00:17:42,960 Speaker 1: bond market and the action we've seen over the last 342 00:17:43,000 --> 00:17:45,919 Speaker 1: couple of days post FED decision, this dramatic move upward 343 00:17:45,960 --> 00:17:49,000 Speaker 1: and yields to test one fifty again. Just do you 344 00:17:49,040 --> 00:17:51,080 Speaker 1: think the bond market in the equity market are now 345 00:17:51,160 --> 00:17:55,040 Speaker 1: in sync? What's interesting is you know, we talk a 346 00:17:55,080 --> 00:17:58,080 Speaker 1: lot about rates, but rates are still historically very low, 347 00:17:58,520 --> 00:18:01,080 Speaker 1: and I think at this point in the economic cycle, 348 00:18:01,200 --> 00:18:04,320 Speaker 1: you should actually expect some steeping of the yield curve. 349 00:18:04,920 --> 00:18:08,280 Speaker 1: We actually think that's actually quite healthy for the bond market. 350 00:18:08,880 --> 00:18:12,000 Speaker 1: Although when we look at certain sectors within the equity market, 351 00:18:12,040 --> 00:18:15,560 Speaker 1: obviously there's going to be more sensitivity to rising rate environment. 352 00:18:15,640 --> 00:18:18,200 Speaker 1: You know, tech has always been very sensitive to rates, 353 00:18:18,480 --> 00:18:21,840 Speaker 1: and if you think about what really drives tech valuations, 354 00:18:21,840 --> 00:18:24,520 Speaker 1: it's the discount rate and future cash flows. We know, 355 00:18:24,640 --> 00:18:27,600 Speaker 1: future cash flows are kind of priced for perfection, so 356 00:18:27,680 --> 00:18:30,840 Speaker 1: any move in rates has a very very big impact 357 00:18:31,240 --> 00:18:33,960 Speaker 1: on kind of the pricing of those of those particular 358 00:18:34,280 --> 00:18:37,480 Speaker 1: securities within the market. Alright, So Moe, it looks like 359 00:18:37,840 --> 00:18:39,600 Speaker 1: a lot of folks are kind of thinking about a 360 00:18:39,760 --> 00:18:44,760 Speaker 1: re reopening trade here. Uh um, You know, the vaccination 361 00:18:44,840 --> 00:18:48,480 Speaker 1: numbers continue to trend in the right direction. You know, 362 00:18:48,520 --> 00:18:50,680 Speaker 1: how are you thinking about that here as you take 363 00:18:50,680 --> 00:18:52,560 Speaker 1: a look at the some of the factors that you're 364 00:18:52,600 --> 00:18:57,480 Speaker 1: hearing from your clients. Sure, so the economic backdrop is 365 00:18:57,480 --> 00:19:00,800 Speaker 1: still very supportive of risk as sets. Although what I 366 00:19:00,800 --> 00:19:04,040 Speaker 1: will tell you is that our economic indicators are leading 367 00:19:04,080 --> 00:19:07,280 Speaker 1: indicators are showing into showing a little bit of softening 368 00:19:07,320 --> 00:19:11,760 Speaker 1: and growth, and that deceleration is actually noticeable across every 369 00:19:11,800 --> 00:19:15,920 Speaker 1: region around the world. That said, investor sentiment and risk 370 00:19:15,920 --> 00:19:19,200 Speaker 1: appetite in the market has been improving, which we kind 371 00:19:19,200 --> 00:19:22,760 Speaker 1: of look at as possibly pointing to a rebound in 372 00:19:22,800 --> 00:19:25,680 Speaker 1: growth as we go into year end. And there's really 373 00:19:25,680 --> 00:19:27,879 Speaker 1: a couple of reasons that I think that is a 374 00:19:27,960 --> 00:19:31,480 Speaker 1: very plausible outcome. One, we still have a very accommodative 375 00:19:31,480 --> 00:19:34,800 Speaker 1: policy backdrop. I know that FED tapering has been a topic, 376 00:19:34,880 --> 00:19:38,120 Speaker 1: but it has been very well socialized, and I don't 377 00:19:38,119 --> 00:19:40,639 Speaker 1: actually think the market was surprised by a lot of 378 00:19:40,640 --> 00:19:44,400 Speaker 1: that commentary. What we do think is more important, though, 379 00:19:44,560 --> 00:19:46,879 Speaker 1: is lift off right and if there's any change in 380 00:19:46,920 --> 00:19:50,760 Speaker 1: that accommodation around rates rising, you know, if it's end 381 00:19:50,800 --> 00:19:53,480 Speaker 1: of two, that could be very impactful. All Right, we'll 382 00:19:53,520 --> 00:19:55,199 Speaker 1: keep an eye on that. Mo hag been chief operating 383 00:19:55,200 --> 00:19:58,840 Speaker 1: officer for invest Go Investment Solutions giving us his thoughts 384 00:19:58,880 --> 00:20:02,760 Speaker 1: on these markets. End factor investing more coming up this 385 00:20:02,880 --> 00:20:08,440 Speaker 1: is Bloomberg. We'll talk about our performance. We're starting to 386 00:20:08,480 --> 00:20:11,560 Speaker 1: get some of the big universities endowments they're reporting their 387 00:20:11,560 --> 00:20:15,880 Speaker 1: fiscal their returns for their fiscal year ended June. Boys 388 00:20:15,920 --> 00:20:18,440 Speaker 1: some big, big numbers and again kind of the pandemic 389 00:20:18,520 --> 00:20:21,000 Speaker 1: impacting the returns given the timing there, but still some 390 00:20:21,440 --> 00:20:26,080 Speaker 1: pretty solid fort returns. And I see my boys down 391 00:20:26,080 --> 00:20:28,560 Speaker 1: at Duke University, Neil Triplet from the Duke University Management 392 00:20:28,600 --> 00:20:34,399 Speaker 1: Company six percent return. So I will buy Neil a 393 00:20:34,440 --> 00:20:37,080 Speaker 1: beverage of his choice when I see him soon. Down 394 00:20:37,080 --> 00:20:40,880 Speaker 1: in Derham. Janet Lawn, higher education finance reporter for Bloomberg News, 395 00:20:40,960 --> 00:20:44,000 Speaker 1: joins us on the phone. Janet universities endowments are putting 396 00:20:44,040 --> 00:20:48,080 Speaker 1: up just some stellar numbers in this most recent fiscal year. Yes, 397 00:20:48,320 --> 00:20:51,679 Speaker 1: it's really once in a generation that you're seeing some 398 00:20:51,760 --> 00:20:54,679 Speaker 1: of these members. We reported wash you last week and 399 00:20:54,680 --> 00:20:59,480 Speaker 1: they added, are you sitting down six billion dollars value 400 00:20:59,680 --> 00:21:02,719 Speaker 1: what the go into unless they made that money in 401 00:21:02,960 --> 00:21:07,439 Speaker 1: twelve months? And only about two dozen universities even have 402 00:21:08,040 --> 00:21:11,240 Speaker 1: at least six billion dollars. So it's it's really been, 403 00:21:11,760 --> 00:21:13,879 Speaker 1: as I said, once in a generation, are you going 404 00:21:13,920 --> 00:21:16,720 Speaker 1: to see these kinds of returns? And it's really coming 405 00:21:16,760 --> 00:21:19,399 Speaker 1: from two ends. One is, you know, you look at 406 00:21:19,440 --> 00:21:21,840 Speaker 1: how global equities performed during the year. You know, the 407 00:21:21,960 --> 00:21:24,919 Speaker 1: U S stock market alone was up forty one percent 408 00:21:25,080 --> 00:21:27,760 Speaker 1: during that time period. So if you had a nice 409 00:21:27,800 --> 00:21:31,520 Speaker 1: allocation to certain global equities, UM, that certainly helped you. 410 00:21:31,560 --> 00:21:34,000 Speaker 1: And even if you're going to see the smallest endowments 411 00:21:34,080 --> 00:21:37,520 Speaker 1: that invested in US equities UM will have some nice 412 00:21:37,520 --> 00:21:40,359 Speaker 1: returns where typically they're not able to capture what the 413 00:21:40,359 --> 00:21:43,280 Speaker 1: big ease have done. But you're also going to see 414 00:21:43,280 --> 00:21:46,320 Speaker 1: it from the venture capital side. So you know, two 415 00:21:46,320 --> 00:21:49,359 Speaker 1: ways to get these crazy returns this year. Plus you know, 416 00:21:49,400 --> 00:21:52,080 Speaker 1: if you are lucky to have a really robust and 417 00:21:52,520 --> 00:21:55,119 Speaker 1: the right venture in your portfolio, you know you're seeing 418 00:21:55,119 --> 00:21:58,359 Speaker 1: these super duper outside return Yeah. I saw a data 419 00:21:58,400 --> 00:22:01,640 Speaker 1: point that broadly high our education institutions are on track 420 00:22:01,720 --> 00:22:04,640 Speaker 1: for their best return since nineteen eight six. I mean 421 00:22:04,640 --> 00:22:07,879 Speaker 1: we're talking decades here, And to Paul's point, how do 422 00:22:07,920 --> 00:22:09,359 Speaker 1: they put it to work? What do they do with 423 00:22:09,400 --> 00:22:12,760 Speaker 1: all this money? Well that's a really good question and 424 00:22:12,800 --> 00:22:16,240 Speaker 1: that UM colleges are going to be having to answer that. 425 00:22:16,600 --> 00:22:18,639 Speaker 1: You know, as they're posting the returns. This is all 426 00:22:18,720 --> 00:22:20,639 Speaker 1: very new. In the last week. We've just been getting 427 00:22:20,640 --> 00:22:25,080 Speaker 1: these numbers UM. But you know we've already heard um. 428 00:22:25,119 --> 00:22:27,719 Speaker 1: You know, the endowment test which many of these schools 429 00:22:27,720 --> 00:22:32,360 Speaker 1: are are paying UM likely is going to be UM uh, 430 00:22:32,640 --> 00:22:35,560 Speaker 1: not necessarily rescinded, but that that what's on the table 431 00:22:35,680 --> 00:22:38,200 Speaker 1: is if schools are going to give money towards financial aid. 432 00:22:38,640 --> 00:22:41,040 Speaker 1: So I think you're going to see that pressure, you know, 433 00:22:41,080 --> 00:22:44,400 Speaker 1: having to increase scholarships. You know, do they what else 434 00:22:44,440 --> 00:22:46,160 Speaker 1: do they do with this money? You know? Of course 435 00:22:46,200 --> 00:22:48,560 Speaker 1: their position is we can't spend it all because we 436 00:22:48,640 --> 00:22:50,800 Speaker 1: have to be fair to the current students as well 437 00:22:50,840 --> 00:22:53,400 Speaker 1: as the future students. So it's it's a really good 438 00:22:53,480 --> 00:22:56,440 Speaker 1: question what are they going to do with it? So Jen, 439 00:22:56,880 --> 00:22:58,679 Speaker 1: give us a sense of the strategies here, because we 440 00:22:58,680 --> 00:23:00,600 Speaker 1: know a lot of these endowments, and I'm thinking about 441 00:23:00,640 --> 00:23:03,800 Speaker 1: Yale in particular, a couple of decades ago really embraced 442 00:23:03,800 --> 00:23:07,399 Speaker 1: alternative investments UM and successfully so so it's kind of 443 00:23:07,440 --> 00:23:10,920 Speaker 1: become the Yale method, if you will, of managing endowments. 444 00:23:11,119 --> 00:23:13,240 Speaker 1: How big has alternative investment has been to to some 445 00:23:13,280 --> 00:23:17,840 Speaker 1: of these returns well quite quite a bit UM. And 446 00:23:17,880 --> 00:23:20,399 Speaker 1: if you look at Yale, which we haven't seen when 447 00:23:20,440 --> 00:23:23,879 Speaker 1: they announced their new UM chief investment officers since David 448 00:23:23,960 --> 00:23:27,800 Speaker 1: Swinton passed away earlier this year. Um he there was 449 00:23:27,840 --> 00:23:31,040 Speaker 1: a note in there that he manages the venture capital portfolio, 450 00:23:31,119 --> 00:23:34,560 Speaker 1: and the venture capital portfolio at Yale alone is over. 451 00:23:36,560 --> 00:23:38,920 Speaker 1: So you know, you get a sense of how big 452 00:23:38,960 --> 00:23:42,679 Speaker 1: alternatives are. Um in a place like Yale. You know, 453 00:23:42,720 --> 00:23:46,360 Speaker 1: they haven't directly invested in U S equities in decades, 454 00:23:47,119 --> 00:23:50,000 Speaker 1: um So among the biggest colleges, they're you know, they're 455 00:23:50,040 --> 00:23:52,919 Speaker 1: not holding US equities, but you know they maybe had 456 00:23:53,000 --> 00:23:56,040 Speaker 1: that exposure through a hedge phone or through global that's 457 00:23:56,040 --> 00:24:00,560 Speaker 1: putty fun um so. But but largely um you know, 458 00:24:00,720 --> 00:24:03,639 Speaker 1: in alternatives have been where they've seen a lot of 459 00:24:03,680 --> 00:24:07,159 Speaker 1: their outside returns. Yeah. Very interesting and uh that's a 460 00:24:07,200 --> 00:24:10,000 Speaker 1: certain level of risk into these endowments that they historically 461 00:24:10,040 --> 00:24:12,359 Speaker 1: did not have. And so that's one of the challenges 462 00:24:12,400 --> 00:24:14,760 Speaker 1: for these endowments is to manage that risk. But it's 463 00:24:14,760 --> 00:24:17,040 Speaker 1: certainly paid off this year. Janet Lauren, thank you so 464 00:24:17,119 --> 00:24:20,119 Speaker 1: much for joining us. Really fascinating story unfolding as we 465 00:24:20,160 --> 00:24:23,360 Speaker 1: get more and more of these universities reporting their endowment 466 00:24:23,400 --> 00:24:26,520 Speaker 1: returns for the fiscal year ended in in June. Janet Lauren, 467 00:24:26,560 --> 00:24:29,040 Speaker 1: higher education reporter for Bloomberg News, joining us on the 468 00:24:29,080 --> 00:24:31,359 Speaker 1: phone here and again, I will just point out, for 469 00:24:31,359 --> 00:24:34,719 Speaker 1: those that weren't listening earlier, duke fifty six percent return, 470 00:24:35,080 --> 00:24:37,600 Speaker 1: and I know it easily beats our friends down in 471 00:24:37,600 --> 00:24:40,359 Speaker 1: Philadelphia at University of Pennsylvania who also had some pretty 472 00:24:40,400 --> 00:24:42,920 Speaker 1: good numbers up forty one percent. Thanks for listening to 473 00:24:42,960 --> 00:24:46,480 Speaker 1: the Bloomberg Markets podcast. You can subscribe and listen to 474 00:24:46,520 --> 00:24:50,680 Speaker 1: interviews with Apple Podcasts or whatever podcast platform you prefer. 475 00:24:51,080 --> 00:24:54,119 Speaker 1: I'm Matt Miller. I'm on Twitter at Matt Miller nine 476 00:24:54,440 --> 00:24:57,119 Speaker 1: seventy three. Pet On Ball Sweeney, I'm on Twitter at 477 00:24:57,160 --> 00:25:00,000 Speaker 1: pt Sweeney. Before the podcast, you can always catch us 478 00:25:00,080 --> 00:25:02,359 Speaker 1: worldwide at Bloomberg Radient m