1 00:00:01,400 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,120 --> 00:00:06,240 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,400 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Kind the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple Podcasts or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:20,239 Speaker 1: and on Bloomberg dot com. Well, the COVID metrics that 7 00:00:20,280 --> 00:00:22,840 Speaker 1: we've all been following so closely for about a year 8 00:00:22,880 --> 00:00:27,640 Speaker 1: are really starting to turn consistently positive in terms of hospitalizations. 9 00:00:27,680 --> 00:00:31,120 Speaker 1: I see you beds um as well as inoculations. Let's 10 00:00:31,160 --> 00:00:33,519 Speaker 1: get the latest uh here in New York City with 11 00:00:33,680 --> 00:00:36,480 Speaker 1: Dr Stephen core When he is the President and chief 12 00:00:36,520 --> 00:00:39,440 Speaker 1: executive Officer of New York Presbyterian Hospital joining us on 13 00:00:39,479 --> 00:00:42,160 Speaker 1: the phone. Dr Corwen, thanks to what for joining us here, 14 00:00:42,600 --> 00:00:45,880 Speaker 1: give us the on the ground, boots on the ground 15 00:00:46,000 --> 00:00:48,680 Speaker 1: kind of view from the New York Presbyterian Hospital. What 16 00:00:48,720 --> 00:00:51,280 Speaker 1: do you and your team seeing right now as it 17 00:00:51,320 --> 00:00:56,080 Speaker 1: relates to the pandemic and as it relates to vaccinations. Well, 18 00:00:56,080 --> 00:00:58,720 Speaker 1: in terms of the pandemic, we've not really seen it 19 00:00:59,120 --> 00:01:02,880 Speaker 1: of hit. It's it's it's peak on this second surge 20 00:01:02,880 --> 00:01:05,520 Speaker 1: here in New York and and come on its way down. 21 00:01:06,120 --> 00:01:08,280 Speaker 1: So at the peak we had about two thousand, six 22 00:01:08,360 --> 00:01:12,000 Speaker 1: hundred patients within our system. We were overwhelmed. Uh we're 23 00:01:12,000 --> 00:01:15,080 Speaker 1: at about nine hundred and sixty patients now, as you 24 00:01:15,160 --> 00:01:19,280 Speaker 1: mentioned less in the I se you a lower mortality rate, 25 00:01:19,520 --> 00:01:22,280 Speaker 1: but it's still pretty serious and we've yet to seen 26 00:01:22,319 --> 00:01:26,960 Speaker 1: the see the effects of the more contagious variants, whether 27 00:01:26,959 --> 00:01:30,520 Speaker 1: it's South African or or the England the British variant, 28 00:01:30,680 --> 00:01:34,360 Speaker 1: and and we're anxiously awaiting that. Plus you we've had 29 00:01:34,360 --> 00:01:38,160 Speaker 1: eleven plus months of this and so uh, staff are stretched. 30 00:01:38,480 --> 00:01:40,520 Speaker 1: Uh you know, it's it's been a long haul. So 31 00:01:40,800 --> 00:01:43,760 Speaker 1: I'm very appreciative of what our front line staff has 32 00:01:43,840 --> 00:01:47,240 Speaker 1: been through and what they're doing now. The biggest issue 33 00:01:47,280 --> 00:01:52,040 Speaker 1: for us is staffing because in the pandemic in March 34 00:01:52,080 --> 00:01:54,160 Speaker 1: April May, we were able to pull from other parts 35 00:01:54,200 --> 00:01:56,800 Speaker 1: of the country. That's not the case now. So not 36 00:01:56,880 --> 00:02:00,280 Speaker 1: as bad as it was before, still serious, and we're 37 00:02:00,320 --> 00:02:03,400 Speaker 1: hoping with the vaccinations and mass vaccination we can we 38 00:02:03,440 --> 00:02:05,440 Speaker 1: can see our way through in in the spring into 39 00:02:05,480 --> 00:02:09,200 Speaker 1: the early summer. In terms of vaccinations, we've vaccinated all 40 00:02:09,240 --> 00:02:13,440 Speaker 1: of our frontline employees. UH. We've overcome a lot of 41 00:02:13,520 --> 00:02:17,639 Speaker 1: vaccine hesitancy. UH. And that requires a lot of education, 42 00:02:17,720 --> 00:02:21,639 Speaker 1: a lot of a lot of one on one discussions. UH. 43 00:02:21,639 --> 00:02:23,600 Speaker 1: And we saw that at the site that we put 44 00:02:23,720 --> 00:02:28,160 Speaker 1: in place at the Armory up in Washington Heights. Initially 45 00:02:29,160 --> 00:02:32,400 Speaker 1: of the vaccinations were coming from the immediate community central 46 00:02:32,480 --> 00:02:36,120 Speaker 1: North car along Washington Heights Inwood South Bronx. Now that's 47 00:02:36,200 --> 00:02:40,440 Speaker 1: up to and we've worked with community based organizations, faith 48 00:02:40,440 --> 00:02:44,360 Speaker 1: based organizations, made appointments by phone, made sure that we 49 00:02:44,400 --> 00:02:47,480 Speaker 1: had translators. You know, if you think about it, UM, 50 00:02:47,520 --> 00:02:52,320 Speaker 1: typically if you're trying to overcome vaccine hesitancy, UH, you know, 51 00:02:52,440 --> 00:02:56,800 Speaker 1: an online appointment system tends to favor uh people who 52 00:02:57,160 --> 00:03:00,919 Speaker 1: are are digitally proficient and so on. So we had 53 00:03:00,960 --> 00:03:03,359 Speaker 1: to change our strategy to make sure that we were 54 00:03:03,880 --> 00:03:07,920 Speaker 1: dealing with the communities of color and underserved communities. These 55 00:03:07,960 --> 00:03:11,120 Speaker 1: are phenomenal discoveries. Doctors, thank you for coming on and 56 00:03:11,160 --> 00:03:13,400 Speaker 1: telling us all of this. Just on the people that 57 00:03:13,440 --> 00:03:16,520 Speaker 1: are coming into the hospitals. Are the symptoms very similar 58 00:03:16,600 --> 00:03:18,840 Speaker 1: to what we saw back in March or April or 59 00:03:18,840 --> 00:03:21,760 Speaker 1: have they changed a little bit? Hows this disease changed 60 00:03:21,760 --> 00:03:26,040 Speaker 1: how it affects people. Yeah, the symptoms are very similar. 61 00:03:26,080 --> 00:03:29,320 Speaker 1: We're better at treating it, uh, the use of steroids, 62 00:03:29,360 --> 00:03:32,239 Speaker 1: the use of RAMD severe, the use of the monoclonal 63 00:03:32,280 --> 00:03:35,480 Speaker 1: antibodies if people are not too sick and before they 64 00:03:35,480 --> 00:03:38,960 Speaker 1: come into the hospital. So the mortality rate in the 65 00:03:39,080 --> 00:03:44,440 Speaker 1: spring if you got admitted to the hospital was to zero. Uh. 66 00:03:44,560 --> 00:03:50,280 Speaker 1: Now that mortality rate is about five UM. Still horrendous, 67 00:03:50,560 --> 00:03:53,040 Speaker 1: but much less, and a lot of that is due 68 00:03:53,120 --> 00:03:58,040 Speaker 1: to better supportive care. Uh. It's hard to think though 69 00:03:58,080 --> 00:04:03,200 Speaker 1: that it's it's UM. It's it's less contagious or less virulent. 70 00:04:03,360 --> 00:04:06,800 Speaker 1: I will say that with masking and social distancing, the 71 00:04:06,840 --> 00:04:10,640 Speaker 1: possibility is that the viral loads that patients have when 72 00:04:10,640 --> 00:04:12,760 Speaker 1: they come in maybe far less than what we saw 73 00:04:12,760 --> 00:04:16,480 Speaker 1: in the spring. But it's still really too uh speculative 74 00:04:16,520 --> 00:04:18,920 Speaker 1: on my part to say that that's the definitive reason. 75 00:04:19,440 --> 00:04:21,800 Speaker 1: Certainly we're seeing it in younger people. They tend to 76 00:04:21,839 --> 00:04:25,599 Speaker 1: do better uh than the frail elderly, so that also 77 00:04:25,640 --> 00:04:28,440 Speaker 1: plays into it. So, doctor, as we get more and 78 00:04:28,480 --> 00:04:33,240 Speaker 1: more vaccinations available to the marketplace, talk to us about 79 00:04:33,279 --> 00:04:36,920 Speaker 1: some of those UM concerns that you get from UH, 80 00:04:37,120 --> 00:04:40,880 Speaker 1: folks that are a reticent about taking the vaccine. What 81 00:04:40,960 --> 00:04:42,560 Speaker 1: are some of the key drivers there? What do you 82 00:04:42,600 --> 00:04:48,040 Speaker 1: have to overcome because the the science seems pretty clear. Yeah, 83 00:04:48,279 --> 00:04:49,920 Speaker 1: I think there are a few things. First of all, 84 00:04:50,240 --> 00:04:53,359 Speaker 1: if if you're a person of color, uh, like it 85 00:04:53,480 --> 00:04:57,080 Speaker 1: or not. There's been a long history of experimentation on 86 00:04:57,160 --> 00:05:00,360 Speaker 1: people of color, dating way way back, So that's one issue. 87 00:05:00,920 --> 00:05:04,279 Speaker 1: The second issue is social media and a lot of 88 00:05:04,279 --> 00:05:08,919 Speaker 1: the misinformation out there, whether it's anti vaxers or whether 89 00:05:08,960 --> 00:05:11,880 Speaker 1: it's people that basically saying that COVID is a hoax 90 00:05:11,920 --> 00:05:15,040 Speaker 1: and and it's not really that bad. Uh. The third 91 00:05:15,120 --> 00:05:18,159 Speaker 1: thing is that a lot of people say, you know, 92 00:05:19,040 --> 00:05:21,400 Speaker 1: I'm not sure I want to take it because it 93 00:05:21,440 --> 00:05:25,560 Speaker 1: was developed too fast. And you've got to remind people 94 00:05:25,680 --> 00:05:29,159 Speaker 1: that the Messenger RNA platform, for example, has been in 95 00:05:29,200 --> 00:05:32,719 Speaker 1: development for well over a decade, that the other platforms 96 00:05:32,760 --> 00:05:36,240 Speaker 1: that are being used are also well established, uh, And 97 00:05:36,440 --> 00:05:41,280 Speaker 1: that by purchasing that, by pre purchasing doses, and by 98 00:05:41,320 --> 00:05:45,039 Speaker 1: compressing the time frame of the various clinical trials and 99 00:05:45,200 --> 00:05:48,680 Speaker 1: supporting those, it enabled something that would take a few 100 00:05:48,760 --> 00:05:51,240 Speaker 1: years to take a year. And I think it's an 101 00:05:51,360 --> 00:05:54,960 Speaker 1: enormous scientific achievement, but you've got to overcome that um 102 00:05:55,240 --> 00:05:57,080 Speaker 1: for people to say, well, I'm not sure I want 103 00:05:57,080 --> 00:05:59,040 Speaker 1: to take it because it was rushed into development. So 104 00:05:59,080 --> 00:06:01,400 Speaker 1: you've really got to go through that. And I think 105 00:06:01,400 --> 00:06:04,440 Speaker 1: it's important to point out that it's not live, right, 106 00:06:04,520 --> 00:06:08,159 Speaker 1: You're not injecting coronavirus into people like some other vaccines work. 107 00:06:08,320 --> 00:06:12,440 Speaker 1: This is not that a very good point. I'm sorry 108 00:06:12,440 --> 00:06:14,480 Speaker 1: that I didn't mention it, so thank you for bringing 109 00:06:14,520 --> 00:06:17,000 Speaker 1: it up. The message. Your RNA vaccine is not live, 110 00:06:17,520 --> 00:06:20,680 Speaker 1: so and it's not even d n A. The um 111 00:06:21,279 --> 00:06:26,159 Speaker 1: inactivated viruses are just vectors, so you can't get coronavirus 112 00:06:26,160 --> 00:06:30,960 Speaker 1: from the vaccines. Uh. The NOVA vaccine is actually novavacx 113 00:06:31,040 --> 00:06:34,679 Speaker 1: vaccine is actually just a recombinant protein. So the notion 114 00:06:34,800 --> 00:06:37,560 Speaker 1: that you can get coronavirus from it also needs to 115 00:06:37,560 --> 00:06:40,960 Speaker 1: be dispelled. You can't. Now, if you have an immune 116 00:06:41,000 --> 00:06:43,840 Speaker 1: reaction to it, UM that's a positive sign. And some 117 00:06:43,920 --> 00:06:48,920 Speaker 1: people get uh, mild fever, headaches, muscle eggs, etcetera. It's 118 00:06:48,960 --> 00:06:51,080 Speaker 1: actually a good thing. It shows you that your immune 119 00:06:51,080 --> 00:06:53,800 Speaker 1: system is working. Many people, of course, have no side 120 00:06:53,839 --> 00:06:57,120 Speaker 1: effects whatsoever from either The first of the second dose. Uh, 121 00:06:57,200 --> 00:07:00,480 Speaker 1: if it's the visor of the moderna vaccine. I'm very 122 00:07:00,560 --> 00:07:04,320 Speaker 1: encouraged by the Johnson and Johnson vaccine because it's one dose, 123 00:07:05,120 --> 00:07:08,279 Speaker 1: it doesn't have to be frozen. And you know, as 124 00:07:08,320 --> 00:07:11,920 Speaker 1: you've heard from Dr Fauci and others, this is a 125 00:07:11,960 --> 00:07:15,920 Speaker 1: worldwide problem. We have to stop the spread worldwide, otherwise 126 00:07:16,040 --> 00:07:18,080 Speaker 1: more and more of these variants will come out, and 127 00:07:18,120 --> 00:07:22,400 Speaker 1: inevitably these variants will self select to be more virulent 128 00:07:22,600 --> 00:07:25,040 Speaker 1: and problematic for us. So we've got to get a 129 00:07:25,080 --> 00:07:29,160 Speaker 1: worldwide effort in place. And I'm very thankful that the 130 00:07:29,320 --> 00:07:33,000 Speaker 1: US government has recognized that and in the Biden administration 131 00:07:33,040 --> 00:07:36,800 Speaker 1: they are participating in the worldwide effort. Where a time, doctor, 132 00:07:36,920 --> 00:07:38,960 Speaker 1: but in ten seconds, can you tell us do you 133 00:07:39,000 --> 00:07:42,520 Speaker 1: have enough ppemail? Has that problem been solved? It has 134 00:07:42,560 --> 00:07:46,160 Speaker 1: been more than enough. So everyone should rest assured that 135 00:07:46,200 --> 00:07:48,240 Speaker 1: if you if you need to come into the hospital, 136 00:07:48,320 --> 00:07:51,360 Speaker 1: we're a okay. That is just fantastic at least a 137 00:07:51,400 --> 00:07:53,160 Speaker 1: little bit of good news. In fact, a lot of 138 00:07:53,160 --> 00:07:55,560 Speaker 1: good news in that interview. So doctor, thank you very 139 00:07:55,640 --> 00:07:58,520 Speaker 1: very much for giving us your time. Dr Stephen Corwin 140 00:07:58,640 --> 00:08:02,560 Speaker 1: is New York Presbyterian President and CEO joining us this 141 00:08:02,640 --> 00:08:05,440 Speaker 1: morning and Paul I think a lot to take away 142 00:08:05,480 --> 00:08:08,080 Speaker 1: from there, including that the vaccines are working in the 143 00:08:08,480 --> 00:08:12,480 Speaker 1: many communities that would have been hesitant have embraced this 144 00:08:12,720 --> 00:08:15,240 Speaker 1: thanks to the good work of Dr Corbyn and his staff. Yeah, 145 00:08:15,280 --> 00:08:17,600 Speaker 1: that's exactly what I took away. Some hard work to 146 00:08:17,600 --> 00:08:22,080 Speaker 1: be done here, but it's it's well worth it. The 147 00:08:22,080 --> 00:08:25,000 Speaker 1: good people a Crane Shares have done something very interesting. 148 00:08:25,040 --> 00:08:27,240 Speaker 1: They have brought out a product that is going to 149 00:08:27,320 --> 00:08:30,840 Speaker 1: give US investors a chance to take part in Shanghai's 150 00:08:31,080 --> 00:08:34,760 Speaker 1: Nasdack style tech board. So let's bring in Brendan Hern, 151 00:08:34,800 --> 00:08:37,960 Speaker 1: who's chief investment officer of Crane Cherries to tell us more. Brendan, 152 00:08:38,040 --> 00:08:41,760 Speaker 1: what is this product? Hey, good morning Bunny. Um. So, 153 00:08:41,840 --> 00:08:47,480 Speaker 1: we recently recently listed k Star the Crane Share Shanghai 154 00:08:47,640 --> 00:08:52,160 Speaker 1: Stock Exchange Star fifty index, which provides access to a 155 00:08:52,280 --> 00:08:55,560 Speaker 1: unique board within the Shanghai Stock Exchange. It's really a 156 00:08:55,720 --> 00:08:59,600 Speaker 1: growth innovation, this science and technology boards. So these are 157 00:08:59,679 --> 00:09:04,679 Speaker 1: very growth geared companies that historically have really not been 158 00:09:04,720 --> 00:09:08,280 Speaker 1: accessible to US investors. So we're obviously very excited to 159 00:09:08,320 --> 00:09:11,719 Speaker 1: bring the first starboard et F outside of China to 160 00:09:11,840 --> 00:09:15,160 Speaker 1: investors here in the United States. So, Brendan, how is 161 00:09:15,200 --> 00:09:18,160 Speaker 1: this Star fifty index. How's it different from the M 162 00:09:18,240 --> 00:09:21,880 Speaker 1: S c I China A Index. So a great question, Paul. 163 00:09:21,920 --> 00:09:24,400 Speaker 1: You know that China A is really large and mid 164 00:09:24,440 --> 00:09:27,319 Speaker 1: cap stocks listed on the main board of both the 165 00:09:27,440 --> 00:09:31,360 Speaker 1: Shanghai and shen Zen stock exchanges. In order to list 166 00:09:31,440 --> 00:09:34,640 Speaker 1: on the main board of those two exchanges, you have 167 00:09:34,720 --> 00:09:38,520 Speaker 1: to be profitable. So so they created two years ago 168 00:09:38,600 --> 00:09:43,760 Speaker 1: this starboard which there is no profitability requirement, and the 169 00:09:43,840 --> 00:09:47,400 Speaker 1: idea is to give these growth innovative companies access to 170 00:09:47,559 --> 00:09:50,720 Speaker 1: capital via the I P O process, So so no 171 00:09:50,840 --> 00:09:56,000 Speaker 1: profitability requirement, much more growth geared companies for that reason, right, 172 00:09:56,080 --> 00:09:59,360 Speaker 1: So we should be aware of that. Brendan, remind me, 173 00:09:59,679 --> 00:10:02,600 Speaker 1: wasn't a huge amount of volasociation? Isn't there generally a 174 00:10:02,640 --> 00:10:05,199 Speaker 1: huge amount of volasosi in these types of stocks in China? 175 00:10:06,320 --> 00:10:09,040 Speaker 1: I mean, in general, emerging market equities have a higher 176 00:10:09,320 --> 00:10:12,480 Speaker 1: standard deviation than say the S and P five hundred 177 00:10:12,480 --> 00:10:16,600 Speaker 1: and certainly you know, yes, this is a concentration of 178 00:10:16,679 --> 00:10:20,080 Speaker 1: fifty securities. So so it's it's something that one of 179 00:10:20,080 --> 00:10:23,160 Speaker 1: the risks investors should be aware of, Uh, is that 180 00:10:23,200 --> 00:10:25,840 Speaker 1: this is going to be more volatile than say, you 181 00:10:25,880 --> 00:10:28,720 Speaker 1: know k b A is our m STI China A 182 00:10:28,720 --> 00:10:31,080 Speaker 1: almost five hundred stocks. This is a tenth of that. 183 00:10:31,520 --> 00:10:34,320 Speaker 1: And and just being within emerging markets that that you 184 00:10:34,360 --> 00:10:37,400 Speaker 1: know that volatility comes comes with it. So give us 185 00:10:37,400 --> 00:10:40,440 Speaker 1: a sense, Brennan, kind of the Starboard, you know, how 186 00:10:40,840 --> 00:10:44,240 Speaker 1: when was it formed? How big is it does a trade? Well, 187 00:10:45,320 --> 00:10:50,480 Speaker 1: so launched back in this index was first created. So 188 00:10:50,520 --> 00:10:53,319 Speaker 1: there were up to over two hundred securities on the 189 00:10:53,440 --> 00:10:58,040 Speaker 1: Starboard today represented of all mainland I p o s. 190 00:10:58,160 --> 00:11:03,320 Speaker 1: Last year the companies of ray ease uhty billion. But 191 00:11:03,480 --> 00:11:06,120 Speaker 1: so this this market is big, you know, market cap 192 00:11:06,160 --> 00:11:09,120 Speaker 1: is up to almost three d billion, over two hundred 193 00:11:09,160 --> 00:11:13,520 Speaker 1: million shares trading daily. Of the underlying securities, can you 194 00:11:13,520 --> 00:11:16,000 Speaker 1: give us an idea of what are the securities that 195 00:11:16,080 --> 00:11:20,280 Speaker 1: take precedence in it? Are they you know equally uh 196 00:11:20,760 --> 00:11:25,160 Speaker 1: dispersed through throughout the index? Well, we know semiconductors is 197 00:11:25,200 --> 00:11:28,960 Speaker 1: a big push in China today. So semiconductors is just 198 00:11:29,240 --> 00:11:31,520 Speaker 1: you know, basically a third of of the k star 199 00:11:31,720 --> 00:11:36,440 Speaker 1: et F. But you have software biotech, um you know, 200 00:11:36,520 --> 00:11:38,480 Speaker 1: really again these are the kind of growth if you 201 00:11:38,520 --> 00:11:41,319 Speaker 1: think about all all of the kind of innovative catch 202 00:11:41,440 --> 00:11:43,559 Speaker 1: terms that get thrown out there. If it's a I 203 00:11:43,880 --> 00:11:47,680 Speaker 1: big data again, because these are growth companies, they need 204 00:11:47,720 --> 00:11:52,400 Speaker 1: access to capital to grow their businesses. Again very very 205 00:11:52,440 --> 00:11:57,760 Speaker 1: skewed to these tech oriented semi software biotechnology. So is 206 00:11:57,800 --> 00:12:00,199 Speaker 1: this starboard is it kind of a now I guess 207 00:12:00,200 --> 00:12:02,480 Speaker 1: a little bit to the NASTAC one D or what's 208 00:12:02,520 --> 00:12:04,679 Speaker 1: kind of the analogy here is that the Russell two thousand. 209 00:12:04,760 --> 00:12:06,679 Speaker 1: Just to get you know, our listeners a sense of 210 00:12:06,760 --> 00:12:10,600 Speaker 1: kind of what this feels like this board, Yeah, I definitely, Paul. 211 00:12:10,720 --> 00:12:12,640 Speaker 1: I think you know, if you have investors here in 212 00:12:12,640 --> 00:12:15,199 Speaker 1: the US are familiar with you know, q q Q 213 00:12:15,440 --> 00:12:19,440 Speaker 1: NASTAC one hundred K star really represents you know, the 214 00:12:19,720 --> 00:12:22,280 Speaker 1: largest names within this tech board. And you know, if 215 00:12:22,280 --> 00:12:24,640 Speaker 1: you go back I always think about NASDAC in the 216 00:12:24,760 --> 00:12:28,720 Speaker 1: nineties seventies was really founded on providing a cheaper, easier 217 00:12:28,800 --> 00:12:32,440 Speaker 1: way for growth and technology companies in the United States 218 00:12:32,480 --> 00:12:36,240 Speaker 1: to access capital. That the NISY back back then was 219 00:12:36,320 --> 00:12:40,680 Speaker 1: really more large cap companies, high listing standards and and 220 00:12:40,679 --> 00:12:42,760 Speaker 1: and you know NASA kind of carved out, you know, 221 00:12:42,800 --> 00:12:45,720 Speaker 1: it's grown to be in a tremendous business, very similar 222 00:12:45,760 --> 00:12:51,280 Speaker 1: situation analogists to the Star fifty board. How do investors 223 00:12:51,360 --> 00:12:55,520 Speaker 1: in this need to consider the PDOC as a potential 224 00:12:55,559 --> 00:13:00,559 Speaker 1: player for their companies? So these companies are tend not 225 00:13:00,640 --> 00:13:03,199 Speaker 1: to be financial company, So we we if we think 226 00:13:03,200 --> 00:13:06,200 Speaker 1: about some of the issues and group ran into and 227 00:13:06,280 --> 00:13:10,719 Speaker 1: having recently recently to be reclassified as a financial holding company, 228 00:13:10,840 --> 00:13:14,240 Speaker 1: these companies are not in the financial sector, very unlikely 229 00:13:14,280 --> 00:13:17,400 Speaker 1: to fall under the purview of the PBOC. So the 230 00:13:17,440 --> 00:13:22,280 Speaker 1: starboard um Brendan formed in nineteen how's the performance been 231 00:13:22,320 --> 00:13:26,120 Speaker 1: since then? So it's it's it's done well, you know, 232 00:13:26,360 --> 00:13:28,760 Speaker 1: you know, it's uh, let me just pull this up here. 233 00:13:28,960 --> 00:13:32,920 Speaker 1: You're just for Bloomberg terminal users, which I'm I'm definitely 234 00:13:32,960 --> 00:13:36,120 Speaker 1: one of. I'm a big fan of U. Uh, you know, 235 00:13:36,200 --> 00:13:38,439 Speaker 1: can't can't you know, crane chairs. We can't run our 236 00:13:38,480 --> 00:13:43,280 Speaker 1: business without without our Bloomberg terminal. So I'm just gonna 237 00:13:43,400 --> 00:13:46,800 Speaker 1: pull this up here using the great CEO MP function, 238 00:13:46,840 --> 00:13:51,040 Speaker 1: which I know users are very familiar with. So since inception, uh, 239 00:13:51,200 --> 00:13:54,720 Speaker 1: this starboard is up uh just just about just over 240 00:13:54,840 --> 00:13:59,200 Speaker 1: fifty one per cent now relative to those MidCap and 241 00:13:59,360 --> 00:14:02,600 Speaker 1: large caps that we hold within k b A, those 242 00:14:02,640 --> 00:14:06,720 Speaker 1: securities over the same time period are lagging just slightly 243 00:14:06,800 --> 00:14:10,760 Speaker 1: so so so k Star from a historical performance has 244 00:14:10,800 --> 00:14:13,800 Speaker 1: been out performing k b A. But again that's that's 245 00:14:13,880 --> 00:14:17,840 Speaker 1: up fifty over the over the last thirteen months or uh, 246 00:14:17,880 --> 00:14:20,720 Speaker 1: you know, without without question obviously the v shaped recovery 247 00:14:20,720 --> 00:14:25,320 Speaker 1: in China. We're seeing a very strong domestic performance there. Hey, Brandon, 248 00:14:25,560 --> 00:14:28,160 Speaker 1: thanks so much for joining us. We appreciate that. As 249 00:14:28,160 --> 00:14:30,920 Speaker 1: always kind of another way for investors to play some 250 00:14:30,960 --> 00:14:35,040 Speaker 1: of the faster growing companies in China. Brenda A. Hearn, 251 00:14:35,120 --> 00:14:37,960 Speaker 1: chief investment officer of Crane Shares based in New York City, 252 00:14:38,440 --> 00:14:40,480 Speaker 1: joining us on the phone. So Vanni again just another 253 00:14:40,520 --> 00:14:43,800 Speaker 1: opportunity for another vehicle, I guess for investors to play 254 00:14:43,800 --> 00:14:46,640 Speaker 1: some of these fast growing companies coming out of China. Yes, 255 00:14:46,720 --> 00:14:49,400 Speaker 1: definitely you want to be aware of what you're doing 256 00:14:49,440 --> 00:14:51,120 Speaker 1: with this one. But it does seem like a very 257 00:14:51,200 --> 00:14:53,720 Speaker 1: very interesting one of the Crane chairs s s start 258 00:14:53,760 --> 00:14:55,760 Speaker 1: market of fifty index e t f T at k 259 00:14:56,080 --> 00:15:01,200 Speaker 1: st R. Well a little gentleman Kins did all last week, 260 00:15:01,240 --> 00:15:03,600 Speaker 1: but really only by thirty three thousand, we still saw 261 00:15:03,640 --> 00:15:07,320 Speaker 1: seven hundred and seventy nine thousand initial jobless claims in 262 00:15:07,360 --> 00:15:11,720 Speaker 1: the last week of January, and continuing claims are still 263 00:15:11,800 --> 00:15:16,080 Speaker 1: at four point five nine million, So yes, the declines, 264 00:15:16,240 --> 00:15:18,760 Speaker 1: but really we should put this into perspective. So let's 265 00:15:18,760 --> 00:15:23,320 Speaker 1: bring in Elena Shootiva, whose senior US economist for Bloomberg Economics. Elena, 266 00:15:23,440 --> 00:15:25,760 Speaker 1: how should we read the fact that seven seventy nine 267 00:15:25,800 --> 00:15:29,400 Speaker 1: thousand people made first time times for unemployment insurance last week? 268 00:15:30,480 --> 00:15:34,440 Speaker 1: So two things here I would really like to highlight. 269 00:15:34,480 --> 00:15:37,600 Speaker 1: So first of all, of course, the declining jobless claims 270 00:15:37,680 --> 00:15:41,600 Speaker 1: is an encouraging signal, hinting at a possible inflection point. 271 00:15:41,760 --> 00:15:44,920 Speaker 1: So uh, you know, three weeks in a row of 272 00:15:45,040 --> 00:15:50,040 Speaker 1: declines come at some states that gradually loosening restrictions, so 273 00:15:50,240 --> 00:15:52,800 Speaker 1: that might be a positive sign. On the other hand, 274 00:15:53,600 --> 00:15:58,160 Speaker 1: we are in a period of really high seasonal volatility. 275 00:15:58,320 --> 00:16:02,880 Speaker 1: So we had a holiday season when usually there are 276 00:16:02,920 --> 00:16:07,040 Speaker 1: a lot of extra jobs, which um, you know, companies 277 00:16:07,160 --> 00:16:11,040 Speaker 1: fireworkers in the consecutive months, So in januaryly see a 278 00:16:11,040 --> 00:16:14,760 Speaker 1: lot of job loads is usually and I see the 279 00:16:14,800 --> 00:16:18,960 Speaker 1: most factors just simply uh, it's very difficult to make 280 00:16:19,040 --> 00:16:23,360 Speaker 1: adjustments at this point when all the regular season all 281 00:16:23,440 --> 00:16:26,160 Speaker 1: that and study stories, So maybe there's just not that 282 00:16:26,880 --> 00:16:30,400 Speaker 1: mean many people that companies are firing right now, that 283 00:16:30,960 --> 00:16:35,720 Speaker 1: maybe screwing the numbers to lower side. But at the 284 00:16:35,800 --> 00:16:39,360 Speaker 1: same time, as as you said, there's still a lot 285 00:16:39,440 --> 00:16:44,160 Speaker 1: of unemployed people and unfortunately the length of unemployment is 286 00:16:44,440 --> 00:16:49,640 Speaker 1: rising rapidly. So tomorrow we're gonna get another jobs report 287 00:16:50,040 --> 00:16:53,520 Speaker 1: for the months of January. We expect a slightly negative reading. 288 00:16:54,200 --> 00:16:58,600 Speaker 1: But the question is how we are going to proceed 289 00:16:58,680 --> 00:17:01,120 Speaker 1: from here. So, as we know, there are a lot 290 00:17:01,160 --> 00:17:05,760 Speaker 1: of vulnerable industries still and a lot of people in 291 00:17:05,880 --> 00:17:09,760 Speaker 1: leisure hospitality is still suffering they cannot go back to work. 292 00:17:10,200 --> 00:17:12,520 Speaker 1: But on the other hand, we have seen a lot 293 00:17:12,560 --> 00:17:17,280 Speaker 1: of other industries that rempt up hiring slightly, So that 294 00:17:17,440 --> 00:17:20,720 Speaker 1: is a positive sign and that that what we will 295 00:17:20,760 --> 00:17:24,359 Speaker 1: be focusing on in tomorrow's report. All right, Elena, as 296 00:17:24,400 --> 00:17:26,840 Speaker 1: we think about tomorrow's report, UM, you know, we think 297 00:17:26,840 --> 00:17:29,040 Speaker 1: about some of those job losses, and you mentioned leisure, 298 00:17:29,800 --> 00:17:33,120 Speaker 1: um entertainment, some of those presumably a lot of those 299 00:17:33,119 --> 00:17:35,760 Speaker 1: are going to come back when as the economy reopens 300 00:17:35,800 --> 00:17:42,240 Speaker 1: throughout this year. What's the concern as for more structural unemployment? UM, 301 00:17:42,280 --> 00:17:45,399 Speaker 1: that maybe companies kind of restructured during the pandemic that 302 00:17:45,920 --> 00:17:48,880 Speaker 1: in reality and when we do reopen that a lot 303 00:17:48,880 --> 00:17:53,240 Speaker 1: of those folks won't be hired back. So that's that's 304 00:17:53,480 --> 00:17:56,600 Speaker 1: a very interesting question indeed, because yes, I do believe 305 00:17:56,680 --> 00:17:59,800 Speaker 1: that a lot of service jobs will get back to 306 00:18:00,080 --> 00:18:04,360 Speaker 1: as we have the pandemic under control. We cannot completely defeated, 307 00:18:04,520 --> 00:18:07,400 Speaker 1: probably in the near term, but at least we're gonna 308 00:18:07,400 --> 00:18:11,040 Speaker 1: get it under control, and that's when the services spending, 309 00:18:11,359 --> 00:18:14,560 Speaker 1: a lot of service jobs will come back. But um, 310 00:18:14,920 --> 00:18:18,080 Speaker 1: at the same time, UH, you know, a lot of 311 00:18:18,160 --> 00:18:24,800 Speaker 1: industries adapted to operating under new circumstances with a small 312 00:18:24,840 --> 00:18:29,159 Speaker 1: amount of people, and UH that will probably weigh on 313 00:18:29,440 --> 00:18:34,720 Speaker 1: uh further growth in uh in in jobs. UH. Another 314 00:18:35,280 --> 00:18:38,520 Speaker 1: interesting point, and that is something that that the set 315 00:18:38,600 --> 00:18:41,240 Speaker 1: is really concerned about and a lot of economies talk 316 00:18:41,280 --> 00:18:44,520 Speaker 1: about that too, is that a lot of people left 317 00:18:44,720 --> 00:18:47,600 Speaker 1: the label for it's just simply stopped looking for a 318 00:18:47,720 --> 00:18:51,080 Speaker 1: job for various reasons. Right that they're discouraged, they will 319 00:18:51,240 --> 00:18:54,600 Speaker 1: find a job, or UH, they stay home for family 320 00:18:54,640 --> 00:18:58,640 Speaker 1: reasons to watch the kids do their homework remotely, and 321 00:18:58,640 --> 00:19:01,720 Speaker 1: and so on and so forth. So this is a 322 00:19:01,800 --> 00:19:06,159 Speaker 1: big chunk of UH personal income that will be lost 323 00:19:06,400 --> 00:19:09,560 Speaker 1: going forward, and UH it will take a lot of 324 00:19:09,600 --> 00:19:12,919 Speaker 1: time to restore this if if we can restore it. 325 00:19:13,000 --> 00:19:15,680 Speaker 1: So if you look at the previous business cycle, it 326 00:19:15,840 --> 00:19:20,600 Speaker 1: took a decade to push the participation rate to the 327 00:19:20,640 --> 00:19:23,679 Speaker 1: heights that we saw. So I think that we should 328 00:19:23,680 --> 00:19:28,440 Speaker 1: also consider these things when we talk about unemployment and jobs. 329 00:19:29,320 --> 00:19:33,640 Speaker 1: We'll have a new labor secretary, former of Boston. What 330 00:19:33,760 --> 00:19:38,119 Speaker 1: can he do as labor secretary to change how the 331 00:19:38,240 --> 00:19:41,560 Speaker 1: labor market looks over the next couple of years. Well, 332 00:19:43,240 --> 00:19:46,280 Speaker 1: I am an economists and probably not in the right 333 00:19:46,320 --> 00:19:50,080 Speaker 1: place to give advice to UH people from administration, but 334 00:19:51,000 --> 00:19:53,760 Speaker 1: I think it's just, you know, we need to make 335 00:19:53,800 --> 00:19:58,160 Speaker 1: sure that people who need help, who need unemployment insurance 336 00:19:58,240 --> 00:20:02,199 Speaker 1: get it, and for that really needs good statistics. We 337 00:20:02,320 --> 00:20:05,840 Speaker 1: need to make sure the system I in place so 338 00:20:05,960 --> 00:20:10,920 Speaker 1: that they have access to proper um you know, payments 339 00:20:11,000 --> 00:20:14,800 Speaker 1: and stuff a fast and inside data, so that would help, 340 00:20:14,840 --> 00:20:18,280 Speaker 1: I guess Elena, thank you so much. We appreciate that. 341 00:20:18,400 --> 00:20:21,160 Speaker 1: As always, on those job numbers today and getting ready 342 00:20:21,160 --> 00:20:25,920 Speaker 1: for jobs day tomorrow. Elena Shuteva, senior US economists for 343 00:20:26,080 --> 00:20:29,800 Speaker 1: Bloomberg Economics joining us on the phone, and again Vanni, 344 00:20:29,840 --> 00:20:33,240 Speaker 1: the job's claims numbers today a good trend. Yeah, but boy, 345 00:20:33,280 --> 00:20:36,520 Speaker 1: that's a high number by historical norms. Yeah. I'm hanging 346 00:20:36,560 --> 00:20:38,240 Speaker 1: my heart on the fact that Lena is that it 347 00:20:38,280 --> 00:20:40,240 Speaker 1: might be a turning point, because if that is actually 348 00:20:40,240 --> 00:20:44,080 Speaker 1: the case, then we can take more you know, joy 349 00:20:44,320 --> 00:20:46,960 Speaker 1: out of these numbers than at first glance, because I 350 00:20:47,000 --> 00:20:48,760 Speaker 1: suppose you have to have a turning point before you 351 00:20:48,800 --> 00:20:52,080 Speaker 1: have a major improvement, right Paul, Yeah, absolutely, And it 352 00:20:52,160 --> 00:20:54,879 Speaker 1: kind of just puts the pressure on once again our 353 00:20:54,920 --> 00:20:58,520 Speaker 1: friends in Washington, d C. For fiscal stimulus. As the negotiations, 354 00:20:59,040 --> 00:21:02,359 Speaker 1: uh there continue between the Democrats and Republicans. Hopefully we'll 355 00:21:02,400 --> 00:21:07,720 Speaker 1: get some breakthrough soon. Now let's turn into Eric Baltunis, 356 00:21:07,720 --> 00:21:11,040 Speaker 1: who senior et F analyst for Bloomberg Intelligence. We have 357 00:21:11,040 --> 00:21:14,800 Speaker 1: a weekly conversation with Eric, and Eric, we want to 358 00:21:14,800 --> 00:21:17,600 Speaker 1: ask you about the client exodus from Janice Funds today. 359 00:21:17,640 --> 00:21:19,679 Speaker 1: I mean, obviously the Reddit trade in a moment, but 360 00:21:20,680 --> 00:21:25,560 Speaker 1: why is Jonas Henderson suddenly losing major clients? Yeah, I 361 00:21:25,560 --> 00:21:29,240 Speaker 1: mean it's a big one of the ownership mostfully the stock. 362 00:21:29,280 --> 00:21:31,959 Speaker 1: At least last I checked with down six percent overall 363 00:21:32,000 --> 00:21:34,840 Speaker 1: the stock has It's okay, it's up over the past 364 00:21:34,880 --> 00:21:38,400 Speaker 1: five years, although that is underperforming it's benchmark of mid 365 00:21:38,440 --> 00:21:41,920 Speaker 1: caps um. But you've got worse, you know, Franklin Templeton 366 00:21:42,000 --> 00:21:44,840 Speaker 1: or Ben Franklin bend is the ticker is down in 367 00:21:44,880 --> 00:21:48,040 Speaker 1: that time period, but Black rocks up, which speaks to 368 00:21:48,080 --> 00:21:50,560 Speaker 1: the big theme here, which is if you are selling 369 00:21:50,960 --> 00:21:53,240 Speaker 1: sort of high cost active mutual funds and that's your 370 00:21:53,280 --> 00:21:56,679 Speaker 1: main um, you know, source of revenue um, your organic 371 00:21:56,680 --> 00:21:59,240 Speaker 1: growth outlook is horrible. The flows are coming out of 372 00:21:59,280 --> 00:22:02,520 Speaker 1: their Janas is seen outflows all told, active mutual funds 373 00:22:02,560 --> 00:22:05,560 Speaker 1: have seen about over five hundred billion dollars in outflows 374 00:22:05,640 --> 00:22:09,760 Speaker 1: last year. That said, the assets are at all time 375 00:22:09,840 --> 00:22:13,840 Speaker 1: highs because the market continues to give good asset growth 376 00:22:13,920 --> 00:22:15,880 Speaker 1: and it's enough to offset the outflows. So I just look, 377 00:22:15,960 --> 00:22:19,480 Speaker 1: Janice assets are four billions. That is a record for them. 378 00:22:19,560 --> 00:22:23,879 Speaker 1: So the problem is it's not organic, it's um you know, 379 00:22:24,200 --> 00:22:27,240 Speaker 1: mirage ish if you will, And that's probably what this 380 00:22:27,240 --> 00:22:28,879 Speaker 1: this clim The writing is on the wall, and I 381 00:22:28,920 --> 00:22:32,879 Speaker 1: think that's probably what the owner, the person the company 382 00:22:32,960 --> 00:22:35,640 Speaker 1: selling is looking at and thinking, well, it's fine now, 383 00:22:35,680 --> 00:22:38,480 Speaker 1: but I want to look elsewhere for the future. Yeah, Eric, 384 00:22:38,480 --> 00:22:40,280 Speaker 1: when I was on the sell side, you know, two 385 00:22:40,320 --> 00:22:43,240 Speaker 1: of the biggest smartest accounts that you have to have 386 00:22:43,280 --> 00:22:45,520 Speaker 1: a good relationship with on the buy side where Janice 387 00:22:45,560 --> 00:22:49,040 Speaker 1: Funds out of Denver, some of the smartest growth investors, 388 00:22:49,080 --> 00:22:52,919 Speaker 1: March Cap growth investors. And then the Henderson Funds in London, 389 00:22:53,000 --> 00:22:56,000 Speaker 1: one of the leading accounts in London. These two get together, 390 00:22:56,480 --> 00:22:59,680 Speaker 1: yet they still can't stem the tide. It's just the 391 00:23:00,080 --> 00:23:03,600 Speaker 1: US because all a lot of assets are going into 392 00:23:03,680 --> 00:23:07,120 Speaker 1: your world, the world of e t f s. It's 393 00:23:07,200 --> 00:23:10,720 Speaker 1: that it's really the vanguard effect. Um. You know. In 394 00:23:10,800 --> 00:23:12,880 Speaker 1: two thousand and eight in particular, I think a lot 395 00:23:12,920 --> 00:23:15,000 Speaker 1: of people were just made that their active mutual fund 396 00:23:15,040 --> 00:23:17,520 Speaker 1: didn't do any better than the market and they're paying 397 00:23:17,520 --> 00:23:20,200 Speaker 1: these days. Then you had report after report from SMP 398 00:23:20,440 --> 00:23:23,600 Speaker 1: versus index versus active that show active cannot perform. And 399 00:23:23,640 --> 00:23:26,800 Speaker 1: then the Internet really hit and if you chart the 400 00:23:26,840 --> 00:23:30,080 Speaker 1: Internet growth with the rise of passive, it's almost perfectly correlated. 401 00:23:30,119 --> 00:23:33,480 Speaker 1: So his information got out, blogs are posted and people 402 00:23:33,520 --> 00:23:35,600 Speaker 1: were like, you know what, this isn't really working for me. 403 00:23:35,680 --> 00:23:38,840 Speaker 1: So they started going to cheap passive and so You've 404 00:23:38,840 --> 00:23:41,840 Speaker 1: seen trillions flow over there and trillions come out of Active. 405 00:23:42,280 --> 00:23:44,199 Speaker 1: It's really a game changer. The other thing we are 406 00:23:44,240 --> 00:23:46,840 Speaker 1: seeing though is Jannis, as you said, was a big deal. 407 00:23:46,880 --> 00:23:49,080 Speaker 1: In fact, in the nineties they were taking in like 408 00:23:49,840 --> 00:23:51,920 Speaker 1: all the flows, they were kind of a vanguard of 409 00:23:51,960 --> 00:23:56,159 Speaker 1: their day, as you pointed out, Um, but now what 410 00:23:56,280 --> 00:23:59,080 Speaker 1: you have is arc Is sort of doing that. That's 411 00:23:59,080 --> 00:24:01,960 Speaker 1: a fun company that's active, high active share. So it's 412 00:24:02,000 --> 00:24:04,640 Speaker 1: not over for Active, it's just new ones are being born. 413 00:24:04,760 --> 00:24:07,000 Speaker 1: And I think the poor um I use the word barbell, 414 00:24:07,800 --> 00:24:10,080 Speaker 1: most of the money is going to cheap beta or 415 00:24:10,160 --> 00:24:12,399 Speaker 1: shiny objects, and a lot of what Janis has is 416 00:24:12,440 --> 00:24:14,680 Speaker 1: sort of in the middle. It's kind of high cost 417 00:24:14,760 --> 00:24:17,359 Speaker 1: but not too different than the benchmark. That's the no 418 00:24:17,480 --> 00:24:20,760 Speaker 1: man's land right now. And of course we should mention, 419 00:24:20,840 --> 00:24:23,080 Speaker 1: you know, Nelson Peltz's involvement in all of this as well. 420 00:24:23,160 --> 00:24:25,960 Speaker 1: There was an Active's shareholder in triumphun Management with a 421 00:24:26,080 --> 00:24:28,960 Speaker 1: nine stake and Jonas Henderson, so he would have had 422 00:24:29,040 --> 00:24:34,439 Speaker 1: something to do with this too. Absolutely, yes, absolutely, I 423 00:24:34,440 --> 00:24:37,720 Speaker 1: think um. You know, Jannis is one of those companies 424 00:24:37,760 --> 00:24:39,880 Speaker 1: that they have tried to come out with some ETF. 425 00:24:40,320 --> 00:24:43,280 Speaker 1: They actually acquired a Velocity Shares, which was the maker 426 00:24:43,280 --> 00:24:46,159 Speaker 1: of t VX. That was a weird acquisition. But they 427 00:24:46,200 --> 00:24:48,480 Speaker 1: do have some talented people over there. Uh, they have 428 00:24:48,520 --> 00:24:51,560 Speaker 1: a couple of ets. They're doing okay um, but it's 429 00:24:51,640 --> 00:24:54,840 Speaker 1: going to be rough. I think in the next ten years. 430 00:24:55,359 --> 00:24:57,879 Speaker 1: What they need to really worry about those a bear market. 431 00:24:58,119 --> 00:25:00,680 Speaker 1: As long as the market keeps giving, all of this 432 00:25:00,720 --> 00:25:03,360 Speaker 1: can just kick the can down the road. The organic 433 00:25:03,400 --> 00:25:05,919 Speaker 1: problem will just keep put off and put off. But 434 00:25:05,960 --> 00:25:08,240 Speaker 1: in the bear market it could get ugly and March alone, 435 00:25:08,240 --> 00:25:10,399 Speaker 1: that's one month we had a little sample of this 436 00:25:10,920 --> 00:25:13,480 Speaker 1: active mutual fund saw three hundred and fifty billion in 437 00:25:13,520 --> 00:25:16,280 Speaker 1: outflows in a month. You can imagine if you if 438 00:25:16,280 --> 00:25:18,760 Speaker 1: you've got a year of that, it could get really bad. 439 00:25:18,800 --> 00:25:21,600 Speaker 1: So we tell active and those kind of managers that 440 00:25:21,600 --> 00:25:24,040 Speaker 1: they should fear a bear market almost worse than the 441 00:25:24,119 --> 00:25:28,080 Speaker 1: Vanguard effect, although the Vanguard effect is somewhat like termites 442 00:25:28,160 --> 00:25:31,440 Speaker 1: eating away at the inside of their growth. When the 443 00:25:31,480 --> 00:25:33,760 Speaker 1: bear market comes, the house will fall down, I think 444 00:25:34,000 --> 00:25:43,840 Speaker 1: pretty easily. That's yeah, it's yeah, it is just a 445 00:25:43,880 --> 00:25:47,240 Speaker 1: tough time for this business. But again, there are there 446 00:25:47,280 --> 00:25:50,520 Speaker 1: are reforms of active that are rising. Uh, sorry, we 447 00:25:50,600 --> 00:25:52,760 Speaker 1: will we look at those. Eric, thanks so much for 448 00:25:52,800 --> 00:25:54,960 Speaker 1: joining us. You always help us put it into perspective. 449 00:25:55,040 --> 00:26:01,280 Speaker 1: Eric Outunist, Senior et F analysts for Bloomberg Intelligence. Thanks 450 00:26:01,280 --> 00:26:04,520 Speaker 1: for listening to Bloomberg Markets podcast. You can subscribe and 451 00:26:04,600 --> 00:26:08,400 Speaker 1: listen to interviews at Apple Podcasts or whatever podcast platform 452 00:26:08,440 --> 00:26:11,920 Speaker 1: you prefer. I'm Bonnie Quinn, I'm on Twitter at Bonnie Quinn, 453 00:26:12,040 --> 00:26:14,440 Speaker 1: and I'm Paul Sweeney. I'm on Twitter at pt Sweeney. 454 00:26:14,480 --> 00:26:17,119 Speaker 1: Before the podcast, you can always catch us worldwide at 455 00:26:17,160 --> 00:26:17,960 Speaker 1: Bloomberg Radio