1 00:00:01,800 --> 00:00:04,440 Speaker 1: This is Bloomberg Business Week. I'm Carol Masser and I'm 2 00:00:04,480 --> 00:00:07,280 Speaker 1: Bloomberg Quick Takes Tim Stanovk. We're here every day bringing 3 00:00:07,320 --> 00:00:09,840 Speaker 1: you the latest news from the world to business and finance, 4 00:00:09,840 --> 00:00:13,680 Speaker 1: plus technology, politics, economics, all partnising the power of Business 5 00:00:13,680 --> 00:00:17,119 Speaker 1: Week reporters and editors, not to mention our journalists and 6 00:00:17,120 --> 00:00:20,000 Speaker 1: analysts in more than one twenty countries. You can download 7 00:00:20,000 --> 00:00:23,239 Speaker 1: Bloomberg Business Week on iTunes, SoundCloud, or Bloomberg dot Com. 8 00:00:23,400 --> 00:00:25,200 Speaker 1: You can also listen to our radio show at two 9 00:00:25,200 --> 00:00:27,880 Speaker 1: pm Eastern Time on Bloomberg Radio or watch us on 10 00:00:27,920 --> 00:00:32,680 Speaker 1: YouTube search Bloomberg Global News. You are listening to Bloomberg 11 00:00:32,680 --> 00:00:35,440 Speaker 1: Business Week Carol Master along with Shinali Bassik here in 12 00:00:35,479 --> 00:00:39,680 Speaker 1: our interactive broker studio. Let's get to a little bit 13 00:00:39,680 --> 00:00:42,040 Speaker 1: more on COVID and the vaccine because top of mine 14 00:00:42,360 --> 00:00:45,640 Speaker 1: Sali mentioned it earlier. We've got President Bush his push 15 00:00:45,720 --> 00:00:49,239 Speaker 1: to begin offering third doses of Visor's vaccine, facing the 16 00:00:49,320 --> 00:00:53,000 Speaker 1: first of two crucial tests. Advisers to the FDA meeting 17 00:00:53,440 --> 00:00:56,280 Speaker 1: today to talk about whether booster shots should be offered 18 00:00:56,280 --> 00:00:59,760 Speaker 1: to most Americans. So the process moving forward today, we 19 00:00:59,800 --> 00:01:04,120 Speaker 1: are expecting some type of vote expected later this afternoon. 20 00:01:04,240 --> 00:01:06,640 Speaker 1: So let's see what's top of mind for Dr Ian 21 00:01:06,720 --> 00:01:08,960 Speaker 1: LUs Bader, his clinical Professor Medicine at n y U 22 00:01:09,040 --> 00:01:10,880 Speaker 1: Land Going. He joined us once again on the phone 23 00:01:10,920 --> 00:01:13,280 Speaker 1: in New York City. Hey, Ian, good to have you 24 00:01:13,319 --> 00:01:16,840 Speaker 1: back with us. How are you. I'm good, Happy Friday, 25 00:01:16,880 --> 00:01:20,000 Speaker 1: and welcome back Caros, Thank you, thank you. I got 26 00:01:20,000 --> 00:01:22,959 Speaker 1: a needed break and it's good to be back. But 27 00:01:23,040 --> 00:01:25,479 Speaker 1: I do feel like so many of the same stories 28 00:01:25,760 --> 00:01:29,240 Speaker 1: that I left are still here, understandably, So how do 29 00:01:29,280 --> 00:01:32,600 Speaker 1: you see the way forward when it comes to this pandemic? 30 00:01:32,680 --> 00:01:35,160 Speaker 1: You and I UH and Tim and our team have 31 00:01:35,319 --> 00:01:39,880 Speaker 1: been talking to you a lot. What's next here? So 32 00:01:40,000 --> 00:01:42,200 Speaker 1: there's a big debate about the third dost or the 33 00:01:42,360 --> 00:01:45,640 Speaker 1: or the booster dose for COVID, and you know who, 34 00:01:45,760 --> 00:01:48,320 Speaker 1: what and when is really the question. A lot of 35 00:01:48,320 --> 00:01:52,480 Speaker 1: this data is based on Israel, where you know, they 36 00:01:52,640 --> 00:01:55,720 Speaker 1: had a relationship with the fiser and they got their 37 00:01:55,800 --> 00:01:59,760 Speaker 1: vaccines very early, really December in January. It's not earlier 38 00:02:00,280 --> 00:02:03,480 Speaker 1: last year, so it's been almost a year. And what 39 00:02:03,520 --> 00:02:06,920 Speaker 1: they are noting is really the effectiveness of the vaccine 40 00:02:06,960 --> 00:02:12,919 Speaker 1: is dropping from about to about and that's both due 41 00:02:12,919 --> 00:02:16,280 Speaker 1: to dropping antibody levels, which we know happens after a while, 42 00:02:16,400 --> 00:02:19,400 Speaker 1: and also mutations, you know in the virus. This was 43 00:02:19,440 --> 00:02:22,160 Speaker 1: to the alpha variant. The delta variant actually has a 44 00:02:22,200 --> 00:02:27,200 Speaker 1: different confirmation of the spike protein, and so based on 45 00:02:27,280 --> 00:02:29,960 Speaker 1: a number of issues, including a much higher viral load 46 00:02:30,280 --> 00:02:35,320 Speaker 1: of with delta, people are asymptomatic and often have very 47 00:02:35,440 --> 00:02:38,760 Speaker 1: very high levels. So that's really what we're seeing, and 48 00:02:40,200 --> 00:02:42,720 Speaker 1: concern about transfer. I mean, in other words, you're not 49 00:02:42,760 --> 00:02:48,000 Speaker 1: getting sick, but you're now have ability to pass COVID around. Yes, 50 00:02:48,080 --> 00:02:51,000 Speaker 1: I think that's certainly one of the elements. So that's 51 00:02:51,040 --> 00:02:53,960 Speaker 1: really what we're seeing in Israel, and really what we're 52 00:02:54,000 --> 00:02:56,919 Speaker 1: seeing here is that the majority of people who've been 53 00:02:57,000 --> 00:02:59,760 Speaker 1: vaccinated are not getting very sick at all. A small 54 00:03:00,040 --> 00:03:02,799 Speaker 1: sent are and in Israel and here as well, the 55 00:03:02,960 --> 00:03:06,200 Speaker 1: small percent of people who've been vaccinated. Actually in Israel 56 00:03:06,200 --> 00:03:10,280 Speaker 1: it's about half the hospitalized patients had two vaccines. They 57 00:03:10,320 --> 00:03:14,600 Speaker 1: typically have heart disease or lung disease, diabetes, hypertension, they 58 00:03:14,600 --> 00:03:19,560 Speaker 1: have a number of other issues, and so it is 59 00:03:19,680 --> 00:03:22,160 Speaker 1: likely if we're going to do a booster, it should 60 00:03:22,240 --> 00:03:26,160 Speaker 1: be in those susceptible groups. You know, we know that 61 00:03:26,240 --> 00:03:29,360 Speaker 1: the third vaccine really does raise antibodies. The question is 62 00:03:29,400 --> 00:03:33,480 Speaker 1: doesn't change anything? Will it really change hospitalization and death rates? 63 00:03:33,480 --> 00:03:36,040 Speaker 1: So that's really the question. And then the question also 64 00:03:36,080 --> 00:03:38,840 Speaker 1: comes up, what about side effects or potential side effects 65 00:03:39,320 --> 00:03:41,240 Speaker 1: months or years down the line. So what do you 66 00:03:41,280 --> 00:03:44,240 Speaker 1: make of the meeting today of the FDA advisors and 67 00:03:44,280 --> 00:03:46,880 Speaker 1: what will come out of it? How fast can we 68 00:03:46,960 --> 00:03:50,840 Speaker 1: expect decisions to be made by the Biden administration and 69 00:03:50,880 --> 00:03:56,800 Speaker 1: then guidance given to the bulk of the country. You know, candidly, 70 00:03:56,840 --> 00:04:00,280 Speaker 1: I think we need more data. We really should have 71 00:04:00,480 --> 00:04:02,960 Speaker 1: been all along the way doing a variety of our 72 00:04:03,040 --> 00:04:06,840 Speaker 1: own studies, both on the MR and A vaccines and 73 00:04:06,960 --> 00:04:13,160 Speaker 1: patient populations, monoclonal antibodies, UM other drugs and other treatments, 74 00:04:13,240 --> 00:04:15,320 Speaker 1: you know, for COVID, we we really should be a 75 00:04:15,440 --> 00:04:18,880 Speaker 1: leader instead of relying on other data. My bet is 76 00:04:18,920 --> 00:04:22,000 Speaker 1: that they are going to say it's absolutely reasonable for 77 00:04:22,080 --> 00:04:26,440 Speaker 1: people the IMMO compromised people with underlying diseases, but I 78 00:04:26,480 --> 00:04:29,919 Speaker 1: think they're going to wait on advising it for a 79 00:04:29,960 --> 00:04:32,000 Speaker 1: big group of people. First of all, we know a 80 00:04:32,080 --> 00:04:35,240 Speaker 1: lot of people now really have very high endibody levels, 81 00:04:35,320 --> 00:04:37,200 Speaker 1: you know, and what we don't know is we'll even 82 00:04:37,320 --> 00:04:42,440 Speaker 1: higher antibody levels really make a significant difference. We before 83 00:04:42,520 --> 00:04:46,080 Speaker 1: we subject people to the potential risk of a third vaccine, 84 00:04:46,400 --> 00:04:50,680 Speaker 1: we really should know. Does a higher antibody level really 85 00:04:50,920 --> 00:04:53,200 Speaker 1: change an outcome? That's really the question. This is a 86 00:04:53,240 --> 00:04:56,040 Speaker 1: really big week with so many people going back to school, 87 00:04:57,320 --> 00:05:00,760 Speaker 1: So what are you expecting for the next buple of weeks. 88 00:05:00,839 --> 00:05:03,680 Speaker 1: Does that mean that there may be a lot more cases? 89 00:05:03,720 --> 00:05:07,280 Speaker 1: And does that um really start to change the calculus 90 00:05:07,279 --> 00:05:11,080 Speaker 1: of how people think about this disease. You know, even 91 00:05:11,120 --> 00:05:13,880 Speaker 1: though we're getting closer to what we used to think 92 00:05:13,920 --> 00:05:20,400 Speaker 1: of her immunity is right vaccinations. Seventy Americans have had 93 00:05:20,520 --> 00:05:23,119 Speaker 1: at least one vaccine. There's a group of about fifty 94 00:05:23,200 --> 00:05:27,160 Speaker 1: or sixty million people who you know, remain unvaccinated, although 95 00:05:27,200 --> 00:05:30,040 Speaker 1: slowly that seeming to chip down. I think we are 96 00:05:30,120 --> 00:05:32,800 Speaker 1: going to continue to see a rise in COVID cases 97 00:05:32,880 --> 00:05:36,360 Speaker 1: really in the unvaccinated, and I think everyone ultimately is 98 00:05:36,400 --> 00:05:39,440 Speaker 1: going to be exposed to delta. It's highly contagious, but 99 00:05:39,480 --> 00:05:42,680 Speaker 1: I think most people who are vaccinated will have either 100 00:05:42,760 --> 00:05:44,919 Speaker 1: minimal or no symptoms. They'll have a cost, they'll have 101 00:05:44,960 --> 00:05:46,800 Speaker 1: a cold, and if they don't get tested, they may 102 00:05:46,839 --> 00:05:50,160 Speaker 1: never even really know. And I think eventually we will 103 00:05:50,200 --> 00:05:53,960 Speaker 1: all build up antibodies to that, and unless there's a 104 00:05:54,000 --> 00:05:57,800 Speaker 1: new mutation, I think we will sort of learn to 105 00:05:57,920 --> 00:06:01,120 Speaker 1: live with delta, you know, one that group of fifty 106 00:06:01,160 --> 00:06:03,359 Speaker 1: million people you know, wind up getting it. Now. Of 107 00:06:03,360 --> 00:06:07,359 Speaker 1: course there will be some hospitalizations and deaths in the unvaccinated, 108 00:06:07,720 --> 00:06:10,760 Speaker 1: but that at this point is a relatively small percent 109 00:06:10,839 --> 00:06:14,640 Speaker 1: of the population. Well, and it is interesting. I thought 110 00:06:14,640 --> 00:06:17,840 Speaker 1: the point you made about a third dose. We don't 111 00:06:17,839 --> 00:06:20,760 Speaker 1: necessarily know all the side effects of getting one, and 112 00:06:20,800 --> 00:06:23,640 Speaker 1: that's just something to consider as they as they move forward. 113 00:06:23,720 --> 00:06:27,279 Speaker 1: Certainly regulators, Um, Dr Lusbader, sit tight, We'll come back. 114 00:06:27,360 --> 00:06:29,640 Speaker 1: Dr Ian los Bader, where you're talking with on this 115 00:06:29,680 --> 00:06:31,840 Speaker 1: Friday's clinical professor of medicine over at n y U 116 00:06:31,920 --> 00:06:34,400 Speaker 1: Landgoing Medical Center on the phone in New York City? 117 00:06:34,400 --> 00:06:37,200 Speaker 1: Are you ready Shinale to get a third booster? I 118 00:06:37,279 --> 00:06:40,360 Speaker 1: would like it as soon as possible, like him would 119 00:06:40,360 --> 00:06:42,920 Speaker 1: be like, I want it yesterday. UM. I do like 120 00:06:42,960 --> 00:06:46,159 Speaker 1: that they're gathering more information because I think we're getting 121 00:06:46,160 --> 00:06:49,120 Speaker 1: pieces from different parties, and you know, we know, right 122 00:06:49,279 --> 00:06:53,200 Speaker 1: data is important to really understanding maybe what's to come. Definitely, 123 00:06:53,200 --> 00:06:55,440 Speaker 1: what's the best move? Definitely, but people are back in 124 00:06:55,520 --> 00:06:58,520 Speaker 1: full force. It definitely feels like it definitely feels it. 125 00:06:58,760 --> 00:07:01,200 Speaker 1: Are you are listening to Bloomberg this week on this Friday, 126 00:07:01,240 --> 00:07:03,840 Speaker 1: Carol Masser, Shinali Bassik, and we'll be back in just 127 00:07:03,920 --> 00:07:08,840 Speaker 1: a moment right here on Bloomberg Radio. Let's get right 128 00:07:08,880 --> 00:07:11,600 Speaker 1: back to Dr Ian los Beta, clinical professor of Medicine 129 00:07:11,640 --> 00:07:13,880 Speaker 1: at n y U Landgown, still with us on the 130 00:07:13,920 --> 00:07:16,800 Speaker 1: phone in New York City. So Dr ls Beder, one 131 00:07:16,840 --> 00:07:19,640 Speaker 1: thing that really caught my attention when you said, you know, 132 00:07:19,720 --> 00:07:22,240 Speaker 1: we don't know the side effects of a third possible dose. 133 00:07:22,240 --> 00:07:25,320 Speaker 1: I mean we are still learning in real time about 134 00:07:25,360 --> 00:07:28,880 Speaker 1: these vaccines and about you know, the impact it has 135 00:07:28,920 --> 00:07:31,520 Speaker 1: on our body. What are the concerns that kind of 136 00:07:31,560 --> 00:07:38,560 Speaker 1: an overdosing of a COVID vaccine could mean? So, you know, 137 00:07:38,640 --> 00:07:41,480 Speaker 1: everything in life is a risk and a benefit ratio 138 00:07:41,840 --> 00:07:47,200 Speaker 1: whatever decisions we make, and certainly being unprotected against COVID 139 00:07:47,840 --> 00:07:50,840 Speaker 1: is not a smart thing to do, because we do 140 00:07:50,920 --> 00:07:53,640 Speaker 1: know that about a third of patients have long COVID, 141 00:07:54,000 --> 00:07:56,360 Speaker 1: so we do our best to protect the issue was 142 00:07:56,440 --> 00:08:01,960 Speaker 1: raised about influenza absolutely. Flu shots, although not perfectly effective, 143 00:08:02,040 --> 00:08:04,600 Speaker 1: certainly can be very helpful. You know, we're starting to 144 00:08:04,640 --> 00:08:07,520 Speaker 1: give that now, so that's important. We certainly know the 145 00:08:07,560 --> 00:08:11,880 Speaker 1: two vaccines are really reduced of for COVID, certainly reduced 146 00:08:11,880 --> 00:08:16,800 Speaker 1: the risk of death and hospitalization. We don't know that 147 00:08:16,920 --> 00:08:20,320 Speaker 1: much about the third vaccine. We certainly know a small 148 00:08:20,400 --> 00:08:23,120 Speaker 1: percentage of people who get the m R and A 149 00:08:23,240 --> 00:08:30,160 Speaker 1: shots um can have other issues myocarditis, pericardius or neurologic issues. Yes, 150 00:08:30,240 --> 00:08:33,880 Speaker 1: it is a very small number, and overall, the the 151 00:08:33,920 --> 00:08:38,280 Speaker 1: benefit of the vaccine over overrides really the risks. But 152 00:08:38,400 --> 00:08:42,719 Speaker 1: people should know that these are not risk free vaccines. Importantly, 153 00:08:43,679 --> 00:08:47,559 Speaker 1: side effects can occur. Importantly, Also, the vaccines are different 154 00:08:47,679 --> 00:08:51,800 Speaker 1: and differences are emerging across them. How do you parse 155 00:08:52,840 --> 00:08:55,520 Speaker 1: what's most important when it comes to the differences between 156 00:08:55,520 --> 00:08:59,679 Speaker 1: the vaccines themselves. So at this point, um, it does 157 00:08:59,760 --> 00:09:03,319 Speaker 1: little like the Maderna m R and A vaccines really 158 00:09:03,360 --> 00:09:08,200 Speaker 1: do give a little bit longer lasting protection. Part of 159 00:09:08,240 --> 00:09:11,719 Speaker 1: that might be the time interval, right, So initially we 160 00:09:11,720 --> 00:09:14,560 Speaker 1: were giving a three week interval between a fiser and 161 00:09:14,600 --> 00:09:17,600 Speaker 1: four weeks with the Maderna. It does turn out that 162 00:09:17,720 --> 00:09:20,520 Speaker 1: maybe that gap between the first two shots really can 163 00:09:20,559 --> 00:09:25,560 Speaker 1: give you longer lasting protection. J and J initially did 164 00:09:25,679 --> 00:09:28,360 Speaker 1: not have numbers quite as high, but over time it 165 00:09:28,440 --> 00:09:31,080 Speaker 1: does seem to help. And that also seems to be 166 00:09:31,160 --> 00:09:34,440 Speaker 1: boosted if you give an MR and a vaccine several 167 00:09:34,480 --> 00:09:37,679 Speaker 1: weeks or months after the the J and J. So 168 00:09:37,760 --> 00:09:40,720 Speaker 1: it does look like for the majority of people, of 169 00:09:40,800 --> 00:09:45,240 Speaker 1: healthy people, they are pretty well protected. I want to say, 170 00:09:45,400 --> 00:09:48,880 Speaker 1: whither without approval At this point, people can go into 171 00:09:49,280 --> 00:09:54,479 Speaker 1: you know, local pharmacies. I've got patients who get their vaccines. 172 00:09:54,920 --> 00:09:58,040 Speaker 1: It really so there's no one preventing that. But it 173 00:09:58,120 --> 00:10:00,880 Speaker 1: really has to be a recommendation B on the science 174 00:10:00,960 --> 00:10:03,480 Speaker 1: behind it. And I don't think we really know other 175 00:10:03,559 --> 00:10:07,000 Speaker 1: than saying that vulnerable people elderly diabetes, I mean it 176 00:10:07,040 --> 00:10:11,360 Speaker 1: was suppressed. They're the risk of getting delta and complications 177 00:10:11,360 --> 00:10:14,559 Speaker 1: are much higher than your average person who's otherwise healthy, 178 00:10:14,600 --> 00:10:18,360 Speaker 1: who's who has already had two vaccines. Kitty Gratfeld was 179 00:10:18,400 --> 00:10:21,160 Speaker 1: on with me yesterday at Bloomberg and she she only 180 00:10:21,200 --> 00:10:23,319 Speaker 1: actually talked about people she knows. You just walked into 181 00:10:23,320 --> 00:10:26,079 Speaker 1: pharmacies and like, I need a shot. It was a 182 00:10:26,160 --> 00:10:28,520 Speaker 1: third shot, and they just did it. It happened to 183 00:10:28,520 --> 00:10:30,760 Speaker 1: me in front of me the other day, did it, Yes, 184 00:10:30,920 --> 00:10:34,839 Speaker 1: so we know it's happening. Well, go ahead, people if 185 00:10:34,840 --> 00:10:37,200 Speaker 1: they want to get it, you know you can do it. 186 00:10:37,440 --> 00:10:40,040 Speaker 1: And people who don't want vaccines, you know. Obviously we're 187 00:10:40,040 --> 00:10:45,040 Speaker 1: not yet forcing people to do that in the United States. Um, 188 00:10:45,120 --> 00:10:47,800 Speaker 1: but I think we should wait for more data. And 189 00:10:47,840 --> 00:10:50,559 Speaker 1: I don't think there's an emergency at this point. If 190 00:10:50,559 --> 00:10:53,560 Speaker 1: you're otherwise healthy, it is not a panic to get 191 00:10:53,960 --> 00:10:56,800 Speaker 1: a third booster at this time. Hey, real quickly thirty 192 00:10:56,800 --> 00:10:59,360 Speaker 1: seconds here? You know, China can't seem to get a break. 193 00:10:59,440 --> 00:11:02,160 Speaker 1: There is so where where there's tons of people, lots 194 00:11:02,160 --> 00:11:05,079 Speaker 1: of vaccines have been given out. They contract data points 195 00:11:05,120 --> 00:11:10,000 Speaker 1: like no other uh probably country. Their problems tell tell 196 00:11:10,040 --> 00:11:12,400 Speaker 1: you what about this virus? And again just got about 197 00:11:12,400 --> 00:11:15,559 Speaker 1: thirty seconds. Well, I'm not sure how effective the sign 198 00:11:15,559 --> 00:11:19,040 Speaker 1: of VAC vaccine really is and they maybe having other 199 00:11:19,120 --> 00:11:22,080 Speaker 1: mutations that they're not testing for. We need to do 200 00:11:22,120 --> 00:11:25,080 Speaker 1: a better job. In general. There are new nasal vaccines 201 00:11:25,120 --> 00:11:27,280 Speaker 1: for COVID that are being worked on. There are a 202 00:11:27,320 --> 00:11:29,760 Speaker 1: lot of different approaches that we really need to make 203 00:11:29,800 --> 00:11:33,600 Speaker 1: efforts that may be equally or more effective for new mutations. 204 00:11:33,880 --> 00:11:37,000 Speaker 1: The data out of China could be a new mutation 205 00:11:37,160 --> 00:11:40,120 Speaker 1: or could just be a less effective vaccine. All right, good, 206 00:11:40,520 --> 00:11:43,120 Speaker 1: great always Ian, thank you, thank you, thank you. Have 207 00:11:43,160 --> 00:11:46,240 Speaker 1: a wonderful and safe weekend. Dr Ian las Bader, clinical 208 00:11:46,280 --> 00:11:48,200 Speaker 1: Professor of Medicine at n y U Land, going on 209 00:11:48,240 --> 00:11:49,600 Speaker 1: the phone in New York City. The more I learned, 210 00:11:49,600 --> 00:11:51,679 Speaker 1: the more I feel like I don't know, but he helps. 211 00:11:53,440 --> 00:11:56,200 Speaker 1: He does help clarify a lot. Though. You're listening to 212 00:11:56,280 --> 00:12:00,320 Speaker 1: Bloomberg Business Week with Carol Messer and Bloomberg Quick Takes 213 00:12:00,360 --> 00:12:05,080 Speaker 1: Tim Stinovic on Bloomberg Radio. Well, you know we often 214 00:12:05,160 --> 00:12:07,920 Speaker 1: reference something being a great business school case study. We 215 00:12:07,960 --> 00:12:11,240 Speaker 1: to that a lot here on Bloomberg Business Week. Case 216 00:12:11,240 --> 00:12:14,160 Speaker 1: studies now part of business school's efforts to improve diversity. 217 00:12:14,960 --> 00:12:17,240 Speaker 1: Let's get into it. It's all part of the coverage 218 00:12:17,280 --> 00:12:19,439 Speaker 1: of Bloomberg Business Weeks annual survey and coverage of the 219 00:12:19,480 --> 00:12:21,800 Speaker 1: world's top NBA program. So let's get into it with 220 00:12:21,920 --> 00:12:24,640 Speaker 1: Bloomberg Business Week, getor Joe Weber here in our Interactive 221 00:12:24,640 --> 00:12:28,040 Speaker 1: broker studio, and also with us Bloomberg News Higher Education 222 00:12:28,080 --> 00:12:30,360 Speaker 1: Finance reporter Janet Lauren on the phone, in New York 223 00:12:30,400 --> 00:12:33,160 Speaker 1: City case studies right at the heart of like getting 224 00:12:33,160 --> 00:12:36,040 Speaker 1: an m b A. And yet yeah, well, and it 225 00:12:36,120 --> 00:12:38,160 Speaker 1: is a topic that we think about it the magazine 226 00:12:38,200 --> 00:12:40,440 Speaker 1: a lot. I like in some of our our most 227 00:12:40,480 --> 00:12:43,640 Speaker 1: noteworthy stories to to sort of our version case studies. 228 00:12:43,679 --> 00:12:45,959 Speaker 1: And so I thought this was a really interesting story, 229 00:12:46,280 --> 00:12:48,920 Speaker 1: um that Janet was able to contribute to the package. 230 00:12:48,960 --> 00:12:51,880 Speaker 1: Because you go to business school, what do you what 231 00:12:51,920 --> 00:12:59,000 Speaker 1: do you learn? Yeah? That's to me. Yeah, well, the 232 00:12:59,000 --> 00:13:03,080 Speaker 1: case studies really the DNA of that experience, right, and 233 00:13:03,320 --> 00:13:06,920 Speaker 1: as you as we've all known for the past uh 234 00:13:07,000 --> 00:13:08,959 Speaker 1: from all of our amazing reporting from the past year, 235 00:13:08,960 --> 00:13:10,640 Speaker 1: it's like, all right, this is a lot of white 236 00:13:10,640 --> 00:13:13,440 Speaker 1: and male stuff, right, so so let's shake up the 237 00:13:13,480 --> 00:13:15,640 Speaker 1: case study, right, So Janale, what does that end up 238 00:13:15,679 --> 00:13:18,360 Speaker 1: looking like? Oh? Well, what's so interesting? And I'm curious 239 00:13:18,400 --> 00:13:21,199 Speaker 1: to see what Janet found here. But to the point, 240 00:13:21,600 --> 00:13:22,640 Speaker 1: there are a lot of you know, if you're going 241 00:13:22,720 --> 00:13:25,600 Speaker 1: into retail, you will find more case studies where women 242 00:13:25,640 --> 00:13:28,320 Speaker 1: have become the CEO turned things around. But when it 243 00:13:28,360 --> 00:13:31,679 Speaker 1: comes to other more hardcore areas of finance where women 244 00:13:31,720 --> 00:13:35,000 Speaker 1: have not really dominated yet, like quant finance, I mean 245 00:13:35,200 --> 00:13:38,280 Speaker 1: even the class. It was like two women in most 246 00:13:38,320 --> 00:13:41,680 Speaker 1: of my classes. So and very few case studies that 247 00:13:41,720 --> 00:13:44,600 Speaker 1: involved women because the women have not risen to the 248 00:13:44,600 --> 00:13:47,200 Speaker 1: CEO level in those industries yet. So, Janet, how are 249 00:13:47,200 --> 00:13:50,960 Speaker 1: they changing this? Well, it doesn't have to be the 250 00:13:51,040 --> 00:13:54,640 Speaker 1: CEO to be a compelling character in a case study. 251 00:13:54,720 --> 00:13:58,280 Speaker 1: For example, the one we mentioned in our story was 252 00:13:58,440 --> 00:14:03,520 Speaker 1: rosal And Fox of John Dear, the tractor agriculture manufacturer UM. 253 00:14:03,559 --> 00:14:06,680 Speaker 1: And she was the first black woman manager of a factory, 254 00:14:07,080 --> 00:14:09,280 Speaker 1: and that was a compelling enough reason for Harvard to 255 00:14:09,360 --> 00:14:12,160 Speaker 1: feature her as a case study. That's why that was interesting. 256 00:14:12,200 --> 00:14:15,760 Speaker 1: I think I always think about case studies as being 257 00:14:16,400 --> 00:14:19,720 Speaker 1: these huge big blow ups or problems or or you know, 258 00:14:19,760 --> 00:14:23,160 Speaker 1: it's usually involving the C suite and the CEO or something. 259 00:14:23,600 --> 00:14:26,840 Speaker 1: But as you point out, there are some really great 260 00:14:26,920 --> 00:14:31,040 Speaker 1: stories case studies and lessons to be learned by people UM. 261 00:14:31,080 --> 00:14:35,920 Speaker 1: Certainly diversity UH and diverse people maybe lower on UH 262 00:14:36,320 --> 00:14:39,880 Speaker 1: you know, the career ladder, but they're still leaders and 263 00:14:40,120 --> 00:14:43,560 Speaker 1: still facing challenges, and they're still dealing with with issues 264 00:14:43,560 --> 00:14:46,400 Speaker 1: and problems, and it's you know, you can learn as 265 00:14:46,480 --> 00:14:49,240 Speaker 1: much from somebody who may not be the CEO by 266 00:14:49,280 --> 00:14:51,480 Speaker 1: listening to their experience. And if you read the case 267 00:14:51,520 --> 00:14:54,160 Speaker 1: study of Rosalind Fox, you know you could hear about 268 00:14:54,280 --> 00:14:57,520 Speaker 1: the isolation she you know, she experienced while living in 269 00:14:57,520 --> 00:15:00,440 Speaker 1: a small town of in Wisconsin a six months people. 270 00:15:00,840 --> 00:15:03,080 Speaker 1: And she was recruited by John Dear and you know 271 00:15:03,120 --> 00:15:04,920 Speaker 1: that was one of the things she was concerned about 272 00:15:04,920 --> 00:15:08,040 Speaker 1: in going and taking the job. In another case studying 273 00:15:08,080 --> 00:15:11,320 Speaker 1: we mentioned UM. Stanford, in addition to Harvard, has been 274 00:15:11,320 --> 00:15:14,080 Speaker 1: doing a lot of outreach and just asking their alumni 275 00:15:14,160 --> 00:15:18,840 Speaker 1: and asking faculty members to reach out and find other 276 00:15:19,120 --> 00:15:24,080 Speaker 1: UM potential protagonists with diverse backgrounds. And Stanford featured you know, 277 00:15:24,080 --> 00:15:26,960 Speaker 1: a woman who runs a car dealership, a black woman 278 00:15:26,960 --> 00:15:29,840 Speaker 1: who runs a car dealership in Dayton, Ohio. Um, and 279 00:15:29,880 --> 00:15:33,560 Speaker 1: she's the second generation running that card dealership. And uh, 280 00:15:33,600 --> 00:15:36,040 Speaker 1: you know that was an interesting case study for Stanford, 281 00:15:36,640 --> 00:15:39,520 Speaker 1: you know, which bears mentioning. Stanford number one in our 282 00:15:39,760 --> 00:15:45,720 Speaker 1: tanking of NBA UH NBA schools, UH programs. Um. Yeah, 283 00:15:45,760 --> 00:15:49,400 Speaker 1: I here's my big question. So so interesting Stanford number 284 00:15:49,400 --> 00:15:52,600 Speaker 1: one in networking, number one in compensation, such great things, 285 00:15:52,680 --> 00:15:54,680 Speaker 1: but they're not among the top ten when it comes 286 00:15:54,720 --> 00:15:56,920 Speaker 1: to diversity. I don't want to be super tough on 287 00:15:56,960 --> 00:15:58,720 Speaker 1: these business schools because I've got to say they're not 288 00:15:58,760 --> 00:16:01,960 Speaker 1: doing horrible, all right, I mean they are top twenty. 289 00:16:02,080 --> 00:16:03,720 Speaker 1: I've got to say, when I went to business school, 290 00:16:03,800 --> 00:16:05,960 Speaker 1: I was more pleased with the diversity than I wasn't 291 00:16:05,960 --> 00:16:10,560 Speaker 1: even in college. So Joel, how did I mean, how 292 00:16:10,600 --> 00:16:14,120 Speaker 1: did you guys even think about how to approach diversity 293 00:16:14,120 --> 00:16:16,720 Speaker 1: in these programs as you guys did this for the 294 00:16:16,760 --> 00:16:20,480 Speaker 1: first time. Well, the it's all driven by survey, right, 295 00:16:20,520 --> 00:16:24,000 Speaker 1: and so it ends up being thousands and thousands and 296 00:16:24,200 --> 00:16:28,280 Speaker 1: thousands of surveys, and that is our data point, right, like, 297 00:16:29,040 --> 00:16:32,680 Speaker 1: whatever those responses are what we build that around recognizing 298 00:16:32,720 --> 00:16:35,360 Speaker 1: that this was such an important thing that we wanted 299 00:16:35,360 --> 00:16:39,520 Speaker 1: to actually help acknowledge in the schools are recognized that 300 00:16:39,560 --> 00:16:42,240 Speaker 1: there's a challenge here, but they're also doing things about it. 301 00:16:42,320 --> 00:16:45,440 Speaker 1: And that's what we effectively, you know, centered the survey 302 00:16:45,520 --> 00:16:49,320 Speaker 1: questions on UM. But you know what what that ties into, 303 00:16:49,400 --> 00:16:52,240 Speaker 1: I think is also what this article of Janet's reflect 304 00:16:52,280 --> 00:16:55,680 Speaker 1: which is that case study about John Dear didn't come 305 00:16:55,680 --> 00:16:58,200 Speaker 1: from a professor, right when did you come from? Janet? 306 00:16:58,840 --> 00:17:02,520 Speaker 1: It came from a student, and that students said I 307 00:17:02,560 --> 00:17:05,360 Speaker 1: want to be reflected in these case studies. And she 308 00:17:06,280 --> 00:17:09,480 Speaker 1: she spoke up and she suggested Rosalind Fox. Rosalind was 309 00:17:09,520 --> 00:17:12,360 Speaker 1: not her manager, but she was someone who mentored her 310 00:17:12,880 --> 00:17:15,720 Speaker 1: at John Deere and Low and behold she became a 311 00:17:15,840 --> 00:17:20,040 Speaker 1: case study. And Harvard is mandating and it's required first 312 00:17:20,080 --> 00:17:24,720 Speaker 1: year NBA courses that every every course have a protagonist 313 00:17:24,800 --> 00:17:27,960 Speaker 1: with a diverse background. So what I like about that 314 00:17:28,040 --> 00:17:30,440 Speaker 1: she just shows this relationship that I think the business 315 00:17:30,440 --> 00:17:34,560 Speaker 1: schools are really they're leaning into their own students, right, 316 00:17:34,640 --> 00:17:36,800 Speaker 1: and they recognize that their own students can help them 317 00:17:36,800 --> 00:17:40,080 Speaker 1: solve these problems, and that surfaces new material that they 318 00:17:40,080 --> 00:17:42,520 Speaker 1: wouldn't otherwise have been able to have. So I just 319 00:17:42,560 --> 00:17:45,760 Speaker 1: thought that was a really really clever insight into what 320 00:17:45,920 --> 00:17:49,040 Speaker 1: makes business schools also special, right, And like we we've 321 00:17:49,040 --> 00:17:51,240 Speaker 1: gotten to so many of these business schools together, and 322 00:17:51,280 --> 00:17:53,879 Speaker 1: it's like that network that is the network effect, right 323 00:17:54,160 --> 00:17:56,680 Speaker 1: for all these people together, and you you talk about 324 00:17:56,680 --> 00:17:59,440 Speaker 1: the problems and solutions and you create better leaders out 325 00:17:59,440 --> 00:18:01,600 Speaker 1: of it, right, Exactly What's interesting We talked about brands 326 00:18:01,640 --> 00:18:03,600 Speaker 1: all the time and how customers are pushing brands and 327 00:18:03,640 --> 00:18:06,879 Speaker 1: companies right to be were diverse or were sensitive to 328 00:18:06,920 --> 00:18:10,520 Speaker 1: the environment. What's interesting, though, Janet is a student pushing this, 329 00:18:11,080 --> 00:18:13,600 Speaker 1: you know, to get a more diverse case study. Yet 330 00:18:13,800 --> 00:18:16,520 Speaker 1: in your story you point out that it might be 331 00:18:16,640 --> 00:18:21,119 Speaker 1: unclear whether professors will embrace it equally. What did you 332 00:18:21,119 --> 00:18:24,240 Speaker 1: hear about that? So? Um so the professor that I 333 00:18:24,280 --> 00:18:27,080 Speaker 1: spoke with at U C. L A. Had talked about how, 334 00:18:27,200 --> 00:18:29,280 Speaker 1: you know, like a decade ago, you know, in a 335 00:18:29,359 --> 00:18:32,879 Speaker 1: psychology course, he had brought in um diverse people in 336 00:18:33,000 --> 00:18:35,920 Speaker 1: his in his discussions and case studies, and he said 337 00:18:35,960 --> 00:18:39,080 Speaker 1: students were wondering, well, why why are you Why are 338 00:18:39,119 --> 00:18:42,280 Speaker 1: you including this? It doesn't really feel relevant. And now 339 00:18:42,359 --> 00:18:45,439 Speaker 1: a decade later, you know, students are really asking for it. 340 00:18:45,480 --> 00:18:47,720 Speaker 1: But the question is book, If you're a business school 341 00:18:47,760 --> 00:18:50,919 Speaker 1: professor and you've been teaching a class for decades, you 342 00:18:50,960 --> 00:18:53,439 Speaker 1: know you that add more work for you to change 343 00:18:53,440 --> 00:18:55,960 Speaker 1: out your case studies. You know, it's a lot of 344 00:18:56,000 --> 00:18:59,679 Speaker 1: work to find case studies to to you know, have 345 00:19:00,000 --> 00:19:02,639 Speaker 1: to teach them, and they may not want to switch 346 00:19:02,720 --> 00:19:05,800 Speaker 1: up their courses if you know you've got an oldie, 347 00:19:05,800 --> 00:19:08,720 Speaker 1: but goody, you know who who's going to replace that? 348 00:19:08,960 --> 00:19:11,680 Speaker 1: And it takes effort on that time unto students keep 349 00:19:11,720 --> 00:19:13,960 Speaker 1: answering these surveys that you're doing, Joel and saying this 350 00:19:14,040 --> 00:19:15,920 Speaker 1: is what we want. You know, that's exactly right. And 351 00:19:16,119 --> 00:19:20,400 Speaker 1: and it's also why we've continued to just champion this 352 00:19:20,400 --> 00:19:23,800 Speaker 1: this ranking because like the students end up being the 353 00:19:23,840 --> 00:19:27,119 Speaker 1: engine that drives it, they become alumni. The alumni also 354 00:19:27,240 --> 00:19:29,480 Speaker 1: are a big part of who do takes part in 355 00:19:29,480 --> 00:19:32,080 Speaker 1: these surveys. The more you do that, the more it 356 00:19:32,160 --> 00:19:34,960 Speaker 1: actually helps everything. Joe, Well, we're gonna have more offshoots 357 00:19:34,960 --> 00:19:38,080 Speaker 1: of certainly the Business Week coverage in the magazine that's 358 00:19:38,160 --> 00:19:40,080 Speaker 1: in weeks to come. Joe Weber, thank you so much. 359 00:19:40,119 --> 00:19:42,520 Speaker 1: Have a great weekend. Editor Bloomberg Business Week. Here in 360 00:19:42,560 --> 00:19:45,320 Speaker 1: our studio, Janet Laura and check her out at Janet 361 00:19:45,359 --> 00:19:48,600 Speaker 1: Lauren on Twitter, Higher education finance reporter at Bloomberg News. 362 00:19:48,600 --> 00:19:51,440 Speaker 1: You can find her story too at business week dot com. 363 00:19:51,560 --> 00:19:55,600 Speaker 1: This is Bloomberg Business Week with Carol Masser and Bloomberg 364 00:19:55,680 --> 00:19:59,840 Speaker 1: Quick Takes. Tim Stinovic on Bloomberg Radio. Let's get in 365 00:20:00,040 --> 00:20:02,800 Speaker 1: to it. Our check on the cryptocurrency world. We've got 366 00:20:02,840 --> 00:20:05,720 Speaker 1: a company that is developing digital tools to merge the 367 00:20:05,760 --> 00:20:08,840 Speaker 1: traditional capital markets and crypto assets here to tell us 368 00:20:08,880 --> 00:20:11,080 Speaker 1: more and Jale and I've been talking behind the scenes. 369 00:20:11,080 --> 00:20:13,280 Speaker 1: We have a million questions for Alec Flenberg you see 370 00:20:13,359 --> 00:20:16,920 Speaker 1: of Nimbus. He's on the phone in New York City, Alex. UM, 371 00:20:17,119 --> 00:20:19,360 Speaker 1: so great to have you here with Shinali and myself. 372 00:20:19,400 --> 00:20:22,280 Speaker 1: First of all, I've been reading about your company, and 373 00:20:22,320 --> 00:20:24,680 Speaker 1: I'm going to be quite honest with you. UM, I'm 374 00:20:24,720 --> 00:20:28,280 Speaker 1: a little confused, so tell me exactly what you guys do. 375 00:20:29,520 --> 00:20:32,280 Speaker 1: So so good afternoon, ladies, and thank you so much 376 00:20:32,359 --> 00:20:35,280 Speaker 1: for having me on the show. It's a real pleasure. UM. 377 00:20:35,320 --> 00:20:36,960 Speaker 1: And I hope and I hope. Well, I think there's 378 00:20:37,000 --> 00:20:39,040 Speaker 1: only a ten minute segment, so a million questions going 379 00:20:39,119 --> 00:20:40,760 Speaker 1: to be pretty tough. Try to speak. Well, have you 380 00:20:40,800 --> 00:20:44,760 Speaker 1: back again, UM, So what do we do? We we 381 00:20:44,880 --> 00:20:51,119 Speaker 1: are firmly fixed in providing solutions within the decentralized finance space. 382 00:20:51,880 --> 00:20:55,480 Speaker 1: What does that really just mean in layman's terms, all 383 00:20:55,520 --> 00:20:58,040 Speaker 1: of the things that we've been doing, uh, you know, 384 00:20:58,160 --> 00:21:02,879 Speaker 1: in the centralized standard eyes general uh financial services space 385 00:21:02,920 --> 00:21:06,760 Speaker 1: and the lending space. UM, in the traditional trading space, 386 00:21:07,480 --> 00:21:09,600 Speaker 1: we're going to be looking to do exactly the same 387 00:21:09,600 --> 00:21:14,280 Speaker 1: things and leveraging what the team's you know, multiple decades. 388 00:21:14,800 --> 00:21:17,400 Speaker 1: I would say at least every every single leader on 389 00:21:17,560 --> 00:21:20,080 Speaker 1: this team has at least three decades in the UH 390 00:21:20,280 --> 00:21:25,399 Speaker 1: centralized you know, standardized financial services space. So we're looking 391 00:21:25,440 --> 00:21:28,439 Speaker 1: to bring that experience to the decentralized space. What does 392 00:21:28,480 --> 00:21:32,760 Speaker 1: that mean. Yeah, So decentralized finance. One way, I try 393 00:21:32,800 --> 00:21:34,760 Speaker 1: to explain it to people and tell me how you 394 00:21:34,800 --> 00:21:37,879 Speaker 1: make the comparison. The centralized finance reminds me a lot 395 00:21:37,920 --> 00:21:40,920 Speaker 1: of peer to peer lending, where there's a human being 396 00:21:40,960 --> 00:21:44,520 Speaker 1: on the other side somewhere. Um, how does this actually work? 397 00:21:45,080 --> 00:21:48,080 Speaker 1: And how do you compare it to just peer to 398 00:21:48,119 --> 00:21:51,240 Speaker 1: peer lending like we've seen the last several years, right, 399 00:21:51,240 --> 00:21:53,720 Speaker 1: So so so peer to peer lending. So peer to 400 00:21:53,760 --> 00:21:56,720 Speaker 1: peer lending is one component of the centralized finance, right 401 00:21:56,840 --> 00:21:59,439 Speaker 1: and and that's also how we've we're starting, you know, 402 00:21:59,680 --> 00:22:02,960 Speaker 1: from the tools designs that we're implementing. So we're we're 403 00:22:02,960 --> 00:22:06,399 Speaker 1: actually provided two main apps, right, One that's for lending 404 00:22:06,400 --> 00:22:09,120 Speaker 1: and borrowing h with you know, through peer to peer 405 00:22:09,560 --> 00:22:13,119 Speaker 1: UH and also the exchange of currency off exchange so 406 00:22:13,160 --> 00:22:15,440 Speaker 1: that we don't have any fees associated with it. And 407 00:22:15,560 --> 00:22:19,480 Speaker 1: also because we're not an exchange. We're doing it off exchange. Um, 408 00:22:19,600 --> 00:22:21,879 Speaker 1: it's impossible to hack us, right, So, so there's a 409 00:22:21,880 --> 00:22:25,439 Speaker 1: great risk metrics there. But from a peer to peer perspective, uh, 410 00:22:25,720 --> 00:22:30,800 Speaker 1: there's very little difference between what decentralized finances and peer 411 00:22:30,800 --> 00:22:34,520 Speaker 1: to peer is providing versus what the last two decades 412 00:22:34,640 --> 00:22:38,920 Speaker 1: of the lending clubs and and the prospers uh that 413 00:22:39,040 --> 00:22:41,480 Speaker 1: they've done. Except they've done it off change and we're 414 00:22:41,480 --> 00:22:44,160 Speaker 1: doing it on change. So why is it better? Why 415 00:22:44,200 --> 00:22:50,280 Speaker 1: is it better? So I'll tell you sees ultimately, Ultimately, ultimately, 416 00:22:50,840 --> 00:22:54,760 Speaker 1: if we think about all of the decentralized activity that 417 00:22:54,800 --> 00:22:58,040 Speaker 1: we've seen over the last twenty or so years, starting 418 00:22:58,080 --> 00:22:59,959 Speaker 1: from you know, I mean you know mean no long 419 00:23:00,000 --> 00:23:01,680 Speaker 1: we're having to call a broker in order to get 420 00:23:01,680 --> 00:23:04,919 Speaker 1: an executioner to get a quote. Right. Uh, When when 421 00:23:05,080 --> 00:23:07,960 Speaker 1: that deessentralization happened and we started being able to trade 422 00:23:08,000 --> 00:23:10,119 Speaker 1: from our phones and our laptops without having to me 423 00:23:10,240 --> 00:23:14,560 Speaker 1: that call. Remember, transparency uh was it was a big 424 00:23:14,600 --> 00:23:17,040 Speaker 1: part of that. But also primarily it was the spees 425 00:23:17,119 --> 00:23:19,240 Speaker 1: I drove that if I don't if I don't have 426 00:23:19,280 --> 00:23:21,320 Speaker 1: to use a broker, I can do the same things 427 00:23:21,320 --> 00:23:23,840 Speaker 1: without those seas, and that's driving this industry as wend 428 00:23:23,960 --> 00:23:28,359 Speaker 1: so magical lower fees per peer learning. But the reality 429 00:23:28,440 --> 00:23:31,560 Speaker 1: too is there's a lot of risk involved. How do 430 00:23:31,640 --> 00:23:34,240 Speaker 1: you get comfortable with lending and barrowing two people you 431 00:23:34,280 --> 00:23:37,960 Speaker 1: don't know without actually insurance? By the way, like, where's 432 00:23:37,960 --> 00:23:42,280 Speaker 1: the oversight? Who? All? Right? Right? So I'm very happy 433 00:23:42,280 --> 00:23:44,600 Speaker 1: he said that because Look, one of the thing, one 434 00:23:44,600 --> 00:23:46,720 Speaker 1: of the reasons I keep harping on the fact that 435 00:23:47,240 --> 00:23:51,800 Speaker 1: the leadership of this team has spent their lifetime, you know, 436 00:23:51,800 --> 00:23:54,359 Speaker 1: I've spent twenty seven years in the in the you know, 437 00:23:54,400 --> 00:23:58,000 Speaker 1: in the real standardized you know, centralized financial services. The 438 00:23:58,040 --> 00:24:00,320 Speaker 1: reason I keep harping on that is because you're there 439 00:24:00,400 --> 00:24:04,359 Speaker 1: is a tremendous amount of risk, inherent risk in doing 440 00:24:04,400 --> 00:24:07,880 Speaker 1: it on chain or off chain. Right. The reason why 441 00:24:07,920 --> 00:24:10,520 Speaker 1: it's so important to pick products that are being developed 442 00:24:10,600 --> 00:24:14,000 Speaker 1: by folks with our level of experience is that we're 443 00:24:14,040 --> 00:24:18,440 Speaker 1: not looking to dethrone traditional finance, right, We're not looking 444 00:24:18,440 --> 00:24:21,760 Speaker 1: There are no you know, to us, you know, the standardized, generalized, 445 00:24:21,800 --> 00:24:25,520 Speaker 1: centralized banking sector. They're not the enemy. And let's let's 446 00:24:25,520 --> 00:24:28,439 Speaker 1: be realistic, ladies, you know, just because we're calling it 447 00:24:28,520 --> 00:24:31,760 Speaker 1: a disruption. Just because we're calling it as an industry 448 00:24:32,119 --> 00:24:37,160 Speaker 1: decentralization move doesn't mean that this traditional banking institutions and 449 00:24:37,400 --> 00:24:41,040 Speaker 1: alternative assets institutions are not going into the space. They 450 00:24:41,080 --> 00:24:43,200 Speaker 1: are going to go into the space very very heavily, 451 00:24:43,240 --> 00:24:46,240 Speaker 1: and they bring with them a tremendous amount of experience 452 00:24:46,520 --> 00:24:50,000 Speaker 1: and and liquidity. So we're actually providing that level of 453 00:24:50,080 --> 00:24:54,280 Speaker 1: experience and oversight to the community as well. Alex just 454 00:24:54,400 --> 00:24:56,480 Speaker 1: quickly got about forty twonds left here. I mean, my 455 00:24:56,560 --> 00:24:59,680 Speaker 1: understanding is you guys are moving towards a listing on 456 00:24:59,680 --> 00:25:02,040 Speaker 1: on with American Stock Exchange. So is the plan or 457 00:25:02,080 --> 00:25:05,480 Speaker 1: maybe is it ultimately that you end up being linked up, 458 00:25:05,520 --> 00:25:09,160 Speaker 1: bought out by merged with one of the traditional financial 459 00:25:09,160 --> 00:25:12,600 Speaker 1: Wall Street houses. And again just quickly so so I'll 460 00:25:12,600 --> 00:25:15,520 Speaker 1: tell you, being a compliance officer for many years, there's 461 00:25:15,560 --> 00:25:18,240 Speaker 1: no way that I could actually even speak to that. 462 00:25:18,359 --> 00:25:19,800 Speaker 1: But I am going to tell you that you are 463 00:25:19,880 --> 00:25:22,720 Speaker 1: right that we are. We are moving very heavily uh 464 00:25:22,760 --> 00:25:25,280 Speaker 1: to bring in a k y C n m L 465 00:25:25,480 --> 00:25:29,480 Speaker 1: and get registered in the state or for for global purposes, 466 00:25:29,600 --> 00:25:31,280 Speaker 1: all right, because we do feel that there's a good 467 00:25:31,280 --> 00:25:33,800 Speaker 1: balance to actually do that but but yeah, that's that's 468 00:25:33,840 --> 00:25:35,560 Speaker 1: certainly the direction of all right, we still have nine 469 00:25:36,920 --> 00:25:39,200 Speaker 1: thousand questions to ask you, but we'll do that next time. 470 00:25:39,240 --> 00:25:42,000 Speaker 1: Alex thinks so much. Alex Lemberg, CEO at Nimbus, on 471 00:25:42,080 --> 00:25:50,479 Speaker 1: the phone in New York City. I'm a journal now, 472 00:25:50,560 --> 00:25:55,600 Speaker 1: but you let me drive. No, no, no, all right, please, 473 00:25:55,680 --> 00:26:13,800 Speaker 1: I'll do the right I want to try question. This 474 00:26:14,280 --> 00:26:17,440 Speaker 1: is the drive to the globe. Give thanks, We'll try 475 00:26:17,600 --> 00:26:21,359 Speaker 1: us down on Bloomberg Radio. Let's get to it. We've 476 00:26:21,400 --> 00:26:25,520 Speaker 1: just got about ten nine minutes left in today's trading session. 477 00:26:25,560 --> 00:26:28,639 Speaker 1: We're hovering around our worst levels of the day. We 478 00:26:28,680 --> 00:26:30,480 Speaker 1: are on track for a second down week when it 479 00:26:30,480 --> 00:26:33,399 Speaker 1: comes to US equities. Let's get to it with Ryan Kelly, 480 00:26:33,480 --> 00:26:36,879 Speaker 1: Senior VP portfolio manager at Hennessey Funds with us on 481 00:26:36,920 --> 00:26:39,399 Speaker 1: the phone in Raleigh, North Carolina. Among the funds he 482 00:26:39,400 --> 00:26:42,080 Speaker 1: helps manage, the Hennessy Gas Utility Fund up about eleven 483 00:26:42,520 --> 00:26:45,400 Speaker 1: year to date, putting it in the eighty second percentile 484 00:26:45,520 --> 00:26:48,960 Speaker 1: among its peers. That's according to Bloomberg Data. Ryan, the 485 00:26:49,119 --> 00:26:51,640 Speaker 1: energy story is certainly one that we've been watching this week. 486 00:26:51,680 --> 00:26:56,440 Speaker 1: How are you and how do you see that? Group? Hi? Good, 487 00:26:56,440 --> 00:26:58,800 Speaker 1: to be on again. Good to hear from you and 488 00:27:00,240 --> 00:27:04,960 Speaker 1: the group. Utility group has certainly been lagging this year 489 00:27:06,000 --> 00:27:08,720 Speaker 1: last year as well, but that's usually the time when 490 00:27:09,520 --> 00:27:12,040 Speaker 1: we think it starts to get a little bit more interesting. UM. 491 00:27:12,080 --> 00:27:15,720 Speaker 1: This is a group that we like for many reasons. Uh. 492 00:27:16,000 --> 00:27:19,600 Speaker 1: It has good dividend yields, it has a nice long 493 00:27:19,760 --> 00:27:24,800 Speaker 1: term uh projection of earnings, it's pretty stable earnings. These 494 00:27:24,800 --> 00:27:27,879 Speaker 1: are companies that we need no matter what. It's a 495 00:27:28,000 --> 00:27:32,359 Speaker 1: central part of the economy. UM. And yes, they have 496 00:27:32,440 --> 00:27:35,439 Speaker 1: been sort of pushed to the side last year and 497 00:27:35,480 --> 00:27:38,960 Speaker 1: this year, but this also makes it at this point 498 00:27:39,359 --> 00:27:42,600 Speaker 1: much more compelling valuation. They're trading at about a three 499 00:27:42,680 --> 00:27:47,439 Speaker 1: multiple discount to the SMP five. Generally they actually trade 500 00:27:47,520 --> 00:27:52,520 Speaker 1: just slight premium to the SMP. But you know, there's 501 00:27:52,560 --> 00:27:54,560 Speaker 1: been so much money going into all the other sectors 502 00:27:54,560 --> 00:27:56,399 Speaker 1: of the market and too. You know, last year is 503 00:27:56,440 --> 00:28:01,120 Speaker 1: all about large cap it was about technology. Uh. This year, Uh, 504 00:28:01,240 --> 00:28:04,160 Speaker 1: some of the sectors that really got hammered last year, 505 00:28:04,640 --> 00:28:08,320 Speaker 1: such as financials and energy, they've come flying back this year. 506 00:28:09,280 --> 00:28:11,840 Speaker 1: But you know, something like utilities, we think it is 507 00:28:11,880 --> 00:28:15,040 Speaker 1: still a really good long term holding for long term investors, 508 00:28:15,119 --> 00:28:18,159 Speaker 1: So how much are you rushing the safety now? You 509 00:28:18,200 --> 00:28:21,320 Speaker 1: made this comment about how these are companies that will 510 00:28:21,359 --> 00:28:23,920 Speaker 1: do well no matter what. We've seen a few days 511 00:28:23,960 --> 00:28:26,640 Speaker 1: of slight full pullbacks in SMP in the last week 512 00:28:26,760 --> 00:28:32,200 Speaker 1: or so. Are you looking for safety now? Well? I think, UM, 513 00:28:32,240 --> 00:28:34,040 Speaker 1: you know, we've seen a little pullback, we're still only 514 00:28:34,080 --> 00:28:36,080 Speaker 1: about two and a half percent off the highs give 515 00:28:36,160 --> 00:28:39,120 Speaker 1: or take. UM. This is such a resilient market. It's 516 00:28:39,160 --> 00:28:41,720 Speaker 1: it's hard to to tell, you know, if we are 517 00:28:41,760 --> 00:28:44,160 Speaker 1: going to have that next big correction that everybody talks 518 00:28:44,200 --> 00:28:46,720 Speaker 1: about UM. And you know we've seen it again and 519 00:28:46,800 --> 00:28:48,800 Speaker 1: again for the last year. Ever, every time that there's 520 00:28:48,800 --> 00:28:51,239 Speaker 1: a pullback, it takes on average five days to hit 521 00:28:51,280 --> 00:28:55,080 Speaker 1: a new high UM. So UM, you know, things seem 522 00:28:55,080 --> 00:28:57,760 Speaker 1: a little different maybe this time, but potentially not. No, 523 00:28:57,920 --> 00:29:00,360 Speaker 1: this is more of UM. I like to talk about 524 00:29:00,400 --> 00:29:03,240 Speaker 1: utilities in this space a little bit more long term 525 00:29:03,320 --> 00:29:07,280 Speaker 1: right now, in that we are entering there is a 526 00:29:07,360 --> 00:29:11,000 Speaker 1: defensive side, which you mentioned, but we're entering really the 527 00:29:11,080 --> 00:29:14,960 Speaker 1: first endings i'd say, of a very very long term 528 00:29:15,440 --> 00:29:21,320 Speaker 1: transformative UM expansion for many of these companies UM driven 529 00:29:21,400 --> 00:29:27,080 Speaker 1: by clean energy, driven by new technologies driven by electrification. 530 00:29:27,240 --> 00:29:29,400 Speaker 1: If we are going to get to a space a 531 00:29:30,160 --> 00:29:35,040 Speaker 1: place where we have you know, say, um, many more 532 00:29:35,040 --> 00:29:37,280 Speaker 1: electric vehicles on the on the road, and many more 533 00:29:37,280 --> 00:29:41,320 Speaker 1: appliances being you know, you using electricity. I've seen studies 534 00:29:41,320 --> 00:29:43,080 Speaker 1: that show that we're going to need an electrical grid 535 00:29:43,120 --> 00:29:46,000 Speaker 1: which is two times bigger than it is right now, 536 00:29:46,080 --> 00:29:49,400 Speaker 1: which means what good things for natural gas? It means 537 00:29:49,400 --> 00:29:50,959 Speaker 1: it means good things for a few things we have 538 00:29:51,000 --> 00:29:53,720 Speaker 1: in this fund. We have utilities in general, so it's 539 00:29:53,800 --> 00:29:57,520 Speaker 1: really good for electric utilities. This is a long term 540 00:29:57,720 --> 00:30:01,680 Speaker 1: runway of growth and utilities in general, whether it's natural 541 00:30:01,720 --> 00:30:05,280 Speaker 1: gas or electric. Um. These are the companies that when 542 00:30:05,320 --> 00:30:09,280 Speaker 1: they invest in their infrastructure. This infrastructure a huge word 543 00:30:09,360 --> 00:30:13,800 Speaker 1: right now. When Capex goes up, longer term earnings per 544 00:30:13,800 --> 00:30:16,400 Speaker 1: share go up, but it causes growth rate and earnings 545 00:30:16,400 --> 00:30:19,560 Speaker 1: per share when they have to spend more to reinvest 546 00:30:19,560 --> 00:30:22,600 Speaker 1: in our infrastructure and to get bigger. Is there right? 547 00:30:22,680 --> 00:30:25,440 Speaker 1: One thing I do wonder though increasingly Snolly knows it. 548 00:30:25,600 --> 00:30:27,440 Speaker 1: She covers it, She talks about it all the time 549 00:30:27,440 --> 00:30:29,960 Speaker 1: about you know, e s G on Wall Street among 550 00:30:30,040 --> 00:30:32,440 Speaker 1: institutional investors, you know, looking for kind of a greener 551 00:30:32,480 --> 00:30:36,240 Speaker 1: way forward, greener it's a little vague I think right now, 552 00:30:36,520 --> 00:30:38,800 Speaker 1: because there aren't really true standards out there when it 553 00:30:38,840 --> 00:30:41,440 Speaker 1: comes to regulators and what it means. But I mean, 554 00:30:41,560 --> 00:30:44,360 Speaker 1: do you see in the near future that you're gonna 555 00:30:44,400 --> 00:30:47,320 Speaker 1: have to pivot more because institutional investors will demand it. 556 00:30:47,400 --> 00:30:51,680 Speaker 1: Investors will demand it that your investments reflect a cleaner 557 00:30:51,720 --> 00:30:56,480 Speaker 1: way forward when it comes to the impact on the environment. Well, 558 00:30:56,520 --> 00:30:58,760 Speaker 1: I mean, I think there's certainly that that that pressure 559 00:30:59,080 --> 00:31:01,880 Speaker 1: that's happening already, and that that's not only from institutional 560 00:31:01,880 --> 00:31:05,600 Speaker 1: investors and other investors, it's also from the companies themselves. UM, 561 00:31:05,640 --> 00:31:10,760 Speaker 1: many utilities themselves. Uh. They are pushing for whether or 562 00:31:10,840 --> 00:31:13,800 Speaker 1: not the government is or you know, politically we're moving 563 00:31:13,840 --> 00:31:16,719 Speaker 1: that way or not. They are pushing for net zero 564 00:31:16,840 --> 00:31:20,640 Speaker 1: type emissions by twenty fifty duke energy down in my area, 565 00:31:20,680 --> 00:31:24,240 Speaker 1: for instance. So that movement is happening, and that does 566 00:31:24,360 --> 00:31:27,880 Speaker 1: mean a whole lot of investment for many decades to come. 567 00:31:28,640 --> 00:31:32,960 Speaker 1: I think personally, the way that we believe is that, um, 568 00:31:32,560 --> 00:31:35,120 Speaker 1: it's going to be really hard to go to straight 569 00:31:35,160 --> 00:31:38,680 Speaker 1: on full renewables, and natural gas is a very good 570 00:31:38,720 --> 00:31:43,880 Speaker 1: complementary energy source to renewables, because you know, there are 571 00:31:43,880 --> 00:31:47,960 Speaker 1: certain times when we have to have a large scale 572 00:31:48,600 --> 00:31:53,840 Speaker 1: quickly turned on electricity generation, and natural gas is a 573 00:31:53,960 --> 00:31:57,240 Speaker 1: very good way to do that. You know you own 574 00:31:57,280 --> 00:32:02,160 Speaker 1: Berkshire as well. For me, Caroline, I love watching the 575 00:32:02,200 --> 00:32:04,800 Speaker 1: Berkshire bets. What do you want? What do you want 576 00:32:04,800 --> 00:32:08,560 Speaker 1: Warren Buffett to be doing with all that extra money? Well, 577 00:32:08,560 --> 00:32:11,760 Speaker 1: it's an interesting question. So, UM, the the way that 578 00:32:11,840 --> 00:32:15,360 Speaker 1: this fund is run, it is a fund which is 579 00:32:15,400 --> 00:32:21,040 Speaker 1: primarily invested in any company, most of companies that are 580 00:32:21,240 --> 00:32:25,720 Speaker 1: natural gas distribution companies. Now Berkshire Hathaway obviously does not 581 00:32:25,760 --> 00:32:29,120 Speaker 1: sound like one at all, Um, but they have a 582 00:32:29,280 --> 00:32:32,840 Speaker 1: very large company within their structure called min American, which 583 00:32:32,880 --> 00:32:36,240 Speaker 1: is a utility company and energy company. So that's why 584 00:32:36,240 --> 00:32:38,800 Speaker 1: it's in the fund. UM, and it happens to be, 585 00:32:39,240 --> 00:32:41,920 Speaker 1: you know, market cap weighted funds, so it's UM one 586 00:32:41,960 --> 00:32:45,760 Speaker 1: of the largest holdings in the stand. Well, good to 587 00:32:45,800 --> 00:32:47,840 Speaker 1: get some time with you. This is certainly a topic 588 00:32:47,880 --> 00:32:50,920 Speaker 1: we've been talking a lot about more generally when it 589 00:32:50,960 --> 00:32:53,440 Speaker 1: comes to energy and just kind of watching several hotspots 590 00:32:53,440 --> 00:32:56,360 Speaker 1: around the world when it comes to energy crunches. Ryan, 591 00:32:56,360 --> 00:32:58,640 Speaker 1: Thank you so much. Ryan, Kelly, He's portfolio manager at 592 00:32:58,680 --> 00:33:02,520 Speaker 1: Hennessy Funds on the from Raleigh. Thanks for listening to 593 00:33:02,560 --> 00:33:06,120 Speaker 1: Bloomberg Business Week. Download the podcast on iTunes, SoundCloud, or 594 00:33:06,160 --> 00:33:08,320 Speaker 1: Bloomberg dot com, and you can also listen to our 595 00:33:08,400 --> 00:33:11,040 Speaker 1: radio show at two pm Eastern on Bloomberg Radio or 596 00:33:11,040 --> 00:33:13,720 Speaker 1: watch us on YouTube. Search to Bloomberg Global News