1 00:00:00,720 --> 00:00:03,720 Speaker 1: This is Bloomberg Business Week. I'm Carol Masser and I'm 2 00:00:03,800 --> 00:00:06,320 Speaker 1: Jason Kelly. We're right here every day bringing you the 3 00:00:06,400 --> 00:00:11,160 Speaker 1: latest news from the world's of business and finance, plus technology, politics, economics, 4 00:00:11,240 --> 00:00:14,280 Speaker 1: all harnessing the power of Business Week reporters and editors. 5 00:00:14,440 --> 00:00:16,439 Speaker 1: And of course Carol that's part of a team of 6 00:00:16,520 --> 00:00:20,439 Speaker 1: twenty seven hundred journalists and analysts more than a hundred 7 00:00:20,480 --> 00:00:23,280 Speaker 1: and twenty countries and Jason. You can download Bloomberg Business 8 00:00:23,280 --> 00:00:26,239 Speaker 1: Week on iTunes, SoundCloud, bl Bloomberg dot com. You can 9 00:00:26,280 --> 00:00:28,600 Speaker 1: also listen to our radio show at two pm Eastern 10 00:00:28,680 --> 00:00:31,560 Speaker 1: on Bloomberg Radio every weekday, or watch us on YouTube 11 00:00:31,600 --> 00:00:36,320 Speaker 1: by searching Bloomberg Global News. So much to get to, 12 00:00:36,479 --> 00:00:39,640 Speaker 1: but let's understand what's going on in the trade today, 13 00:00:39,760 --> 00:00:42,239 Speaker 1: what we have to look forward to this week, Scarlett, 14 00:00:42,320 --> 00:00:44,440 Speaker 1: we are going to set the business week agenda. We've 15 00:00:44,479 --> 00:00:47,000 Speaker 1: got Gina Martin Adams with this, chief equity strategist for 16 00:00:47,000 --> 00:00:49,640 Speaker 1: Bloomberg Intelligence. She joins us from New Jersey. As to 17 00:00:49,680 --> 00:00:53,840 Speaker 1: Stave Wilson, stocks editor for Bloomberg. He's also in the 18 00:00:53,880 --> 00:00:58,240 Speaker 1: Garden States. So Dave quickly set the stage for us. Uh, 19 00:00:58,240 --> 00:01:01,840 Speaker 1: what's underneath this trade. Well, you look at the eleven 20 00:01:01,880 --> 00:01:04,559 Speaker 1: main industry groups in the SMP five hundred and it 21 00:01:04,560 --> 00:01:09,319 Speaker 1: it looks rather familiar technology stocks of leading the way. 22 00:01:09,440 --> 00:01:12,440 Speaker 1: Uh you know, you look at the consumer discretionary category, 23 00:01:12,440 --> 00:01:16,080 Speaker 1: which is basically Amazon dot Com and it's up. You know, 24 00:01:16,280 --> 00:01:20,200 Speaker 1: so kind of a familiar story. Communications services, which is 25 00:01:20,560 --> 00:01:24,360 Speaker 1: you know, Facebook and U Alphabet, the owner of Google 26 00:01:24,959 --> 00:01:29,000 Speaker 1: also higher and you know it's really their week, those 27 00:01:29,080 --> 00:01:32,360 Speaker 1: kinds of companies because you know, you you talk about 28 00:01:32,440 --> 00:01:36,360 Speaker 1: the four trillion dollar companies in the SMP five hundred 29 00:01:36,400 --> 00:01:40,280 Speaker 1: based on market value, you have three of them, Uh, 30 00:01:40,319 --> 00:01:44,200 Speaker 1: you know, reporting on the same day coming up on Thursday. 31 00:01:44,200 --> 00:01:48,640 Speaker 1: I'm calling it a triple a afternoon because you get Alphabet, 32 00:01:49,000 --> 00:01:51,800 Speaker 1: you know, the owner of Google, and Amazon dot Com 33 00:01:51,840 --> 00:01:54,040 Speaker 1: and Apple. It just goes to show you what kind 34 00:01:54,080 --> 00:01:57,160 Speaker 1: of week it's gonna be. Uh. You know, something like 35 00:01:57,200 --> 00:02:01,120 Speaker 1: a third of the SNP five companies were warning today, 36 00:02:01,160 --> 00:02:03,400 Speaker 1: pretty quiet on that front, but it really does pick 37 00:02:03,480 --> 00:02:06,640 Speaker 1: up tomorrow and carries through the rest of the week. 38 00:02:06,800 --> 00:02:09,800 Speaker 1: So you know, it isn't just about the Fed policymakers 39 00:02:09,800 --> 00:02:12,240 Speaker 1: getting together. It's about what companies are gonna have to 40 00:02:12,280 --> 00:02:15,639 Speaker 1: say on their results. Absolutely. Technology is going to be 41 00:02:15,720 --> 00:02:18,280 Speaker 1: front and center this week. But it's interesting because when 42 00:02:18,320 --> 00:02:21,000 Speaker 1: I look at the most actively traded stocks by value 43 00:02:21,000 --> 00:02:23,760 Speaker 1: and I look at foreign common stocks, nine out of 44 00:02:23,760 --> 00:02:27,000 Speaker 1: the ten most actively traded stocks are all gold miners 45 00:02:27,080 --> 00:02:30,359 Speaker 1: or precious metals miners, and that speaks to the rally 46 00:02:30,400 --> 00:02:33,800 Speaker 1: that we've seen in gold prices Gina. Material stocks are 47 00:02:33,880 --> 00:02:36,359 Speaker 1: certainly in favor right now as people continue to bid 48 00:02:36,480 --> 00:02:39,520 Speaker 1: gold and silver prices higher. Do we have any sense 49 00:02:39,560 --> 00:02:44,120 Speaker 1: of whether this will be reflected in their earnings? Probably not. 50 00:02:44,480 --> 00:02:46,520 Speaker 1: I mean, I think it's a bit early to expect 51 00:02:46,600 --> 00:02:49,440 Speaker 1: that the companies are actually going to produce earnings results 52 00:02:49,480 --> 00:02:51,600 Speaker 1: as a results of the price action in gold. So 53 00:02:51,639 --> 00:02:54,760 Speaker 1: I do think that the materials sector is most likely 54 00:02:54,800 --> 00:02:56,760 Speaker 1: to be one of the weaker sectors within the S 55 00:02:56,840 --> 00:03:00,720 Speaker 1: and P five in terms of actual output um from 56 00:03:00,760 --> 00:03:04,720 Speaker 1: an earnings perspective. That said, I do think that if 57 00:03:04,720 --> 00:03:07,920 Speaker 1: you start looking at value names in the SMP five hundred, 58 00:03:08,040 --> 00:03:10,760 Speaker 1: you could have an opportunity for a lot of beats 59 00:03:10,760 --> 00:03:13,200 Speaker 1: to expectations. So if you think about the sort of 60 00:03:13,280 --> 00:03:17,519 Speaker 1: value styles in a broader set, I've got fifteen stocks 61 00:03:17,520 --> 00:03:20,360 Speaker 1: on a list of stocks in our high Value Bucket 62 00:03:20,400 --> 00:03:22,919 Speaker 1: as well as the SMP five hundred peer Value Index 63 00:03:23,000 --> 00:03:25,920 Speaker 1: that report this week. All of them are expected to 64 00:03:25,960 --> 00:03:29,880 Speaker 1: have just really really weak earnings, just kind of tremendous declines, 65 00:03:29,960 --> 00:03:33,560 Speaker 1: some of them even with negative earnings, and as a group, 66 00:03:33,639 --> 00:03:36,880 Speaker 1: they're starting to experience positive estimate revision, which is very 67 00:03:37,000 --> 00:03:40,040 Speaker 1: different than what Dave was talking about. With the big 68 00:03:40,200 --> 00:03:46,280 Speaker 1: heavyweight tech companies facing a completely alternative with higher expectations 69 00:03:46,840 --> 00:03:49,840 Speaker 1: going into their earnings, it's less likely that they can 70 00:03:49,920 --> 00:03:53,040 Speaker 1: sustain those expectations, where some of the value stocks actually 71 00:03:53,120 --> 00:03:55,760 Speaker 1: might be able to beat um very very low forecasts. 72 00:03:56,480 --> 00:04:00,360 Speaker 1: And so, Gina, I believe you told us last this 73 00:04:00,400 --> 00:04:03,520 Speaker 1: is the single biggest, big, busiest, excuse me week for 74 00:04:03,560 --> 00:04:07,080 Speaker 1: earnings right this quarter, this week that we're headed into it. Yeah, 75 00:04:07,560 --> 00:04:09,200 Speaker 1: there's not going to be any rest for the weary 76 00:04:09,240 --> 00:04:11,920 Speaker 1: this week. Yeah. So, any I mean, what's the key 77 00:04:12,040 --> 00:04:15,320 Speaker 1: theme for you beyond what you were just describing and 78 00:04:15,880 --> 00:04:20,560 Speaker 1: the tech importance here? Yeah, So it's a combination of things. 79 00:04:20,560 --> 00:04:22,240 Speaker 1: I mean, I think one thing that happened last week 80 00:04:22,279 --> 00:04:25,160 Speaker 1: that really quite frankly surprised us is for the first 81 00:04:25,160 --> 00:04:27,040 Speaker 1: time in a long time, despite the fact that every 82 00:04:27,080 --> 00:04:30,320 Speaker 1: tech stock that reported earnings last week beat expectations. Price 83 00:04:30,360 --> 00:04:33,880 Speaker 1: performance was negative. So I think I want to watch 84 00:04:33,960 --> 00:04:37,760 Speaker 1: that really carefully. Can sticks tech stocks actually live up 85 00:04:37,760 --> 00:04:39,880 Speaker 1: to expectations? Are heavily gotten a little bit ahead of 86 00:04:39,880 --> 00:04:42,320 Speaker 1: our skis, and investors are going to sell the news 87 00:04:42,320 --> 00:04:44,359 Speaker 1: on both tech as well as healthcare and some of 88 00:04:44,400 --> 00:04:48,920 Speaker 1: the grossy stocks. UM, the opposite may occur with respective value. 89 00:04:49,040 --> 00:04:52,320 Speaker 1: I think beyond earning season, there's more than just earnings. 90 00:04:52,360 --> 00:04:54,000 Speaker 1: Even though this is the heaviest week of earnings and 91 00:04:54,040 --> 00:04:56,520 Speaker 1: next week is the second heaviest week, we're obviously also 92 00:04:56,560 --> 00:04:59,120 Speaker 1: contending with the FED policy meeting this week, and we're 93 00:04:59,120 --> 00:05:02,680 Speaker 1: contending with the fiscal package, which we keep bumping around 94 00:05:03,320 --> 00:05:06,200 Speaker 1: UM as a possibility or not a possibility, And you know, 95 00:05:06,240 --> 00:05:08,960 Speaker 1: I think that that has the prospect of creating a 96 00:05:09,000 --> 00:05:11,960 Speaker 1: little bit of turmoil for stocks as well. So, Dave, 97 00:05:12,080 --> 00:05:14,960 Speaker 1: when we talk about the FED meeting this week, do 98 00:05:15,000 --> 00:05:18,400 Speaker 1: you sense a change in tone or in sentiment when 99 00:05:18,440 --> 00:05:20,880 Speaker 1: it comes to what the Fed will likely say? Obviously, 100 00:05:21,000 --> 00:05:24,320 Speaker 1: the environment around US has worsened with the increase of 101 00:05:24,320 --> 00:05:27,640 Speaker 1: cases across much of the United States. UM. How much 102 00:05:27,720 --> 00:05:30,800 Speaker 1: of that is reflected in people's expectations of what they 103 00:05:30,800 --> 00:05:33,800 Speaker 1: expect to hear from J. Powell. You know, I haven't 104 00:05:33,880 --> 00:05:36,800 Speaker 1: really run across a whole lot on that score at 105 00:05:36,839 --> 00:05:40,000 Speaker 1: this point, you know, I mean, given that there's sort 106 00:05:40,040 --> 00:05:43,159 Speaker 1: of a policy direction that's been set, you know, near 107 00:05:43,240 --> 00:05:46,400 Speaker 1: zero interest rates and and and some bond bind though 108 00:05:46,440 --> 00:05:50,600 Speaker 1: they backed off lately in terms of actual purchases, you know, 109 00:05:50,680 --> 00:05:52,960 Speaker 1: trying to throw money at the economy where they can. 110 00:05:53,760 --> 00:05:56,400 Speaker 1: I And it does seem like, if anything, they'll try 111 00:05:56,400 --> 00:05:59,960 Speaker 1: and redouble those efforts. But at least the policy direction 112 00:06:00,040 --> 00:06:03,240 Speaker 1: has been set, and what we may get Wednesday just 113 00:06:03,360 --> 00:06:06,440 Speaker 1: were sort of reinforced where we are when it comes 114 00:06:06,480 --> 00:06:09,479 Speaker 1: to what the Fed's up to. Right, all right, Well, 115 00:06:09,480 --> 00:06:11,640 Speaker 1: thank you both so much. You know, Martin Adam's chief 116 00:06:11,640 --> 00:06:15,400 Speaker 1: equity strategist for Bloomberg Intelligence. She joined us from New Jersey, 117 00:06:15,400 --> 00:06:18,720 Speaker 1: as did Dave Wilson, stocks editor. This is Bloomberg Business Week. 118 00:06:18,920 --> 00:06:21,479 Speaker 1: We are keeping an eye obviously on the virus, those 119 00:06:21,520 --> 00:06:25,480 Speaker 1: cases continuing to rise across the country, and testing Scarlett 120 00:06:25,640 --> 00:06:30,120 Speaker 1: certainly front of mind, and we need to understand how 121 00:06:30,160 --> 00:06:33,320 Speaker 1: it works, where it works, when it works, and how 122 00:06:33,320 --> 00:06:35,400 Speaker 1: it's all going to be executed. We got the perfect 123 00:06:35,400 --> 00:06:39,320 Speaker 1: person to talk about that, Neil D. Crescenzo Crescenso, did 124 00:06:39,360 --> 00:06:43,640 Speaker 1: I say that right now? All right, thank you, I 125 00:06:43,680 --> 00:06:46,800 Speaker 1: appreciate it. Uh you're the CEO of Change Health here 126 00:06:46,839 --> 00:06:50,160 Speaker 1: joining us on the phone from San Francisco. Uh, so 127 00:06:50,240 --> 00:06:53,120 Speaker 1: tell us about testing here, like, where are we? How 128 00:06:53,160 --> 00:06:55,880 Speaker 1: should we be thinking about it? Especially when it comes 129 00:06:55,880 --> 00:07:00,599 Speaker 1: to a typical local community. How's it happening? Well, Jason, 130 00:07:00,640 --> 00:07:02,719 Speaker 1: I think you made a very important point is that 131 00:07:02,760 --> 00:07:06,240 Speaker 1: there really is maybe not a typical community. There's a 132 00:07:06,240 --> 00:07:09,480 Speaker 1: lot of different types of communities in this country. And 133 00:07:09,480 --> 00:07:12,600 Speaker 1: what you know, people didn't really perhaps realized prior to 134 00:07:12,640 --> 00:07:16,880 Speaker 1: the pandemic that only about of lab orders are actually 135 00:07:16,920 --> 00:07:21,080 Speaker 1: submitted electronically today, and as you can imagine, that's particularly 136 00:07:21,120 --> 00:07:24,920 Speaker 1: challenging in a rural or per community. So, um, what 137 00:07:25,080 --> 00:07:28,200 Speaker 1: we really focus on with our network, where you know, 138 00:07:28,280 --> 00:07:32,440 Speaker 1: we move around about fifteen billion healthcare transactions per year, 139 00:07:32,480 --> 00:07:36,160 Speaker 1: were the largest clinical, financial administrative networks in the country, 140 00:07:36,360 --> 00:07:39,040 Speaker 1: is really helping the doctors ordered these lab tests and 141 00:07:39,080 --> 00:07:41,320 Speaker 1: making sure that people can get them in the most 142 00:07:41,360 --> 00:07:46,240 Speaker 1: convenient and fast fast process possible. In order of course, critically, 143 00:07:46,240 --> 00:07:49,280 Speaker 1: as we've heard, particularly recently to get their results back, 144 00:07:49,320 --> 00:07:52,880 Speaker 1: and so we've made access to our nationwide lab network 145 00:07:52,960 --> 00:07:56,880 Speaker 1: free for all positions, and we have over fourteen hundred 146 00:07:56,960 --> 00:07:59,720 Speaker 1: labs and over a hundred providing COVID testing on the 147 00:07:59,760 --> 00:08:03,760 Speaker 1: net work. Neil, is there a difference between people going 148 00:08:03,800 --> 00:08:06,920 Speaker 1: to their primary doctor or to an urgent care center 149 00:08:07,040 --> 00:08:10,280 Speaker 1: or to the hospital to get COVID tests, because I 150 00:08:10,320 --> 00:08:12,840 Speaker 1: remember reading that ultimately they all get process at the 151 00:08:12,880 --> 00:08:16,640 Speaker 1: same couple of labs. Well, I think Scott don's a 152 00:08:16,640 --> 00:08:19,040 Speaker 1: great question, because whe does that really come down to. 153 00:08:19,120 --> 00:08:22,440 Speaker 1: It comes down to convenience and people's comfort level with 154 00:08:22,600 --> 00:08:25,320 Speaker 1: either maybe their primary care physician or an urgent care 155 00:08:25,360 --> 00:08:28,080 Speaker 1: center they're familiar with, where some other site, whether it's 156 00:08:28,080 --> 00:08:31,960 Speaker 1: a Walgreens of CBS, etcetera. UM, And you know, right 157 00:08:32,000 --> 00:08:35,160 Speaker 1: now we've got about thirty six states that are testing 158 00:08:35,280 --> 00:08:39,120 Speaker 1: less than the recommended level with the c d C. 159 00:08:39,440 --> 00:08:42,040 Speaker 1: So unless people go in to get tested, they're clearly 160 00:08:42,040 --> 00:08:44,000 Speaker 1: not going to get the results, and we're not gonna 161 00:08:44,040 --> 00:08:46,079 Speaker 1: be able to impact not only the testing rates, but 162 00:08:46,160 --> 00:08:51,160 Speaker 1: the positivity rates through treatment and contact tracing afterwards. That 163 00:08:51,280 --> 00:08:55,760 Speaker 1: spend such a challenge in many states, and so if 164 00:08:55,800 --> 00:08:58,320 Speaker 1: people have a choice of where to go. Where should 165 00:08:58,360 --> 00:09:01,880 Speaker 1: they go? Well, I think it really comes down to 166 00:09:01,960 --> 00:09:05,120 Speaker 1: the individual. Uh, you know, I think that the testing 167 00:09:05,200 --> 00:09:09,480 Speaker 1: is getting obviously continued to have different sites, additional types 168 00:09:09,520 --> 00:09:11,680 Speaker 1: of sites, and it's going to come down to, you know, 169 00:09:11,720 --> 00:09:13,839 Speaker 1: what people are able to do in terms of the 170 00:09:14,080 --> 00:09:17,800 Speaker 1: convenience for them what they're dealing with in their personal lives, 171 00:09:17,800 --> 00:09:20,760 Speaker 1: but making sure that it's done in a way that 172 00:09:20,840 --> 00:09:24,040 Speaker 1: the results are provided back to them as fast as possible, 173 00:09:24,280 --> 00:09:27,000 Speaker 1: and utilizing the lab network that we and others have 174 00:09:27,080 --> 00:09:29,640 Speaker 1: had in place, you know, frankly for decades, but it 175 00:09:29,720 --> 00:09:32,960 Speaker 1: just wasn't really of course, operating at this level and 176 00:09:32,960 --> 00:09:35,080 Speaker 1: with this degree of focus. You know, one of the 177 00:09:35,120 --> 00:09:37,960 Speaker 1: things that's important for people to realize is one are 178 00:09:37,960 --> 00:09:40,160 Speaker 1: the key priorities over the next few months is also 179 00:09:40,200 --> 00:09:41,760 Speaker 1: going to be trying to figure out how to get 180 00:09:41,800 --> 00:09:44,920 Speaker 1: at home testing. One of the things we focused on 181 00:09:45,000 --> 00:09:47,400 Speaker 1: is connecting our network to be sort of fast growing 182 00:09:47,400 --> 00:09:50,600 Speaker 1: companies like you do tests that provide home tests. But 183 00:09:50,679 --> 00:09:54,160 Speaker 1: we're now seeing the industry leaders like Mayo, Clinical Labs, 184 00:09:54,240 --> 00:09:57,360 Speaker 1: Lab Core Quests, the big lab companies as they're often 185 00:09:57,400 --> 00:10:00,280 Speaker 1: thought of, beginning to develop these tests. You can imagine 186 00:10:00,360 --> 00:10:02,720 Speaker 1: the paradigm shift will have if we're able to get 187 00:10:02,840 --> 00:10:06,559 Speaker 1: at home testing that's reliable, that will really facilitate people, 188 00:10:06,600 --> 00:10:08,880 Speaker 1: particularly trying to get back to work or kids going 189 00:10:08,880 --> 00:10:11,320 Speaker 1: to school. Well, speaking of kids going back to school, 190 00:10:11,520 --> 00:10:14,439 Speaker 1: um for students who are going back to university of campuses. 191 00:10:14,559 --> 00:10:16,800 Speaker 1: Jason and I were talking earlier about how some schools 192 00:10:16,800 --> 00:10:20,400 Speaker 1: will say that they will be testing students what fairly 193 00:10:20,440 --> 00:10:24,040 Speaker 1: frequently twice a week for instance, What kind of what 194 00:10:24,120 --> 00:10:26,880 Speaker 1: kind of problems or challenges do you foresee in being 195 00:10:26,920 --> 00:10:29,760 Speaker 1: able to execute that not just on one campus but 196 00:10:29,960 --> 00:10:33,160 Speaker 1: across the nation. Yeah, it's really a lot of the 197 00:10:33,240 --> 00:10:36,000 Speaker 1: challenges we've seen Scarlett throughout the pandemic, which is really 198 00:10:36,000 --> 00:10:39,200 Speaker 1: one of infrastructure. I think all of these universities will 199 00:10:39,320 --> 00:10:41,920 Speaker 1: point out that they weren't really set up or contemplating 200 00:10:42,000 --> 00:10:44,560 Speaker 1: doing this ever in the past, and so you know, 201 00:10:44,559 --> 00:10:46,440 Speaker 1: what we really look at is how can we take 202 00:10:46,760 --> 00:10:50,200 Speaker 1: infrastructure we've had in place for the traditional settings and 203 00:10:50,280 --> 00:10:54,120 Speaker 1: expand them these sorts of settings, including universities. You know, 204 00:10:54,360 --> 00:10:57,880 Speaker 1: down in Florida and the pandemic started, they have sixty 205 00:10:57,880 --> 00:11:01,319 Speaker 1: seven counties with clinics that wanted to obviously leverage is 206 00:11:01,400 --> 00:11:03,640 Speaker 1: part of the testing, and just in a few days 207 00:11:03,679 --> 00:11:06,199 Speaker 1: we connected them with the commercial labs because we had 208 00:11:06,200 --> 00:11:08,920 Speaker 1: most of the infrastructure in place to help with the 209 00:11:09,080 --> 00:11:12,000 Speaker 1: challenges that they continue to have, like many of these 210 00:11:12,000 --> 00:11:15,440 Speaker 1: hotspots states in Florida, and I think you know, universities 211 00:11:15,520 --> 00:11:17,640 Speaker 1: very unusually as you can imagine, are now having to 212 00:11:17,679 --> 00:11:20,760 Speaker 1: contemplate how they do that as well prior to school starting. 213 00:11:21,800 --> 00:11:25,320 Speaker 1: And so last question for you and Neil, what's the 214 00:11:25,480 --> 00:11:28,120 Speaker 1: sort of technology solution that sort of sticks with us 215 00:11:28,320 --> 00:11:30,800 Speaker 1: here now that all of this tech has been thrown 216 00:11:30,800 --> 00:11:33,640 Speaker 1: I mean your background was having a big job over 217 00:11:33,679 --> 00:11:37,720 Speaker 1: the health sector at Oracle. I do wonder how how 218 00:11:37,720 --> 00:11:40,280 Speaker 1: our lives going to be different even beyond COVID testing 219 00:11:40,320 --> 00:11:42,040 Speaker 1: when it comes to tech. Only got about a minute 220 00:11:42,080 --> 00:11:46,120 Speaker 1: left here. Well, there's gonna be a lot more digital data, Jason, 221 00:11:46,200 --> 00:11:48,720 Speaker 1: that's going to be used for variety of purposes. So 222 00:11:48,760 --> 00:11:52,720 Speaker 1: I'd say it's really three things. More data, more connectivity, 223 00:11:52,840 --> 00:11:57,280 Speaker 1: and the interoperability around that data and connectivity to enable 224 00:11:57,400 --> 00:12:00,560 Speaker 1: people to basically better maintain or improve health or in 225 00:12:00,600 --> 00:12:04,480 Speaker 1: this case, deal with a crisis situation like the pandemic. Right, 226 00:12:04,720 --> 00:12:07,360 Speaker 1: A lot to learn, We're going to be dealing with 227 00:12:07,400 --> 00:12:09,679 Speaker 1: this a lot. I have a feeling, especially in this 228 00:12:09,760 --> 00:12:11,880 Speaker 1: race to a vaccine, we've got to get tested to 229 00:12:12,040 --> 00:12:13,880 Speaker 1: get back to work, as you point out, and back 230 00:12:13,880 --> 00:12:18,200 Speaker 1: to school. Neil D. Crescenso is the CEO of Change Healthcare, 231 00:12:18,280 --> 00:12:21,520 Speaker 1: joiningus on the phone from San Francisco. This is Bloomberg 232 00:12:21,559 --> 00:12:24,680 Speaker 1: Business Week. But let's get into the world of sports. 233 00:12:24,800 --> 00:12:28,800 Speaker 1: John Stashower joins us Bloomberg sports reporter on the remote 234 00:12:28,840 --> 00:12:33,280 Speaker 1: line from Connecticut. Alright, so, John, we saw some baseball 235 00:12:33,360 --> 00:12:37,160 Speaker 1: over the weekend. We're gonna see less baseball tonight. How 236 00:12:37,200 --> 00:12:42,160 Speaker 1: in danger is the baseball season given these positive tests 237 00:12:42,160 --> 00:12:44,640 Speaker 1: with the Miami Marlins. Yeah, we don't never really know. 238 00:12:44,760 --> 00:12:47,240 Speaker 1: I think we have to wait for more test results. 239 00:12:47,240 --> 00:12:50,400 Speaker 1: I think we're at eleven Miami Marlins players right now. 240 00:12:50,400 --> 00:12:52,160 Speaker 1: There was I think the report of twelve. Least I 241 00:12:52,160 --> 00:12:54,480 Speaker 1: heard was eleven plus a couple of coaches. One player. 242 00:12:55,160 --> 00:12:57,680 Speaker 1: First positive tests I guess last Friday, and it's spread 243 00:12:57,679 --> 00:13:00,120 Speaker 1: through the team and they are still in Philadelphi. Few 244 00:13:00,120 --> 00:13:02,760 Speaker 1: of the Marlins were supposed to come home last night 245 00:13:03,280 --> 00:13:05,360 Speaker 1: or then this morning. They still haven't done it. They're 246 00:13:05,360 --> 00:13:07,560 Speaker 1: winning on these test results. I mean, if it stays 247 00:13:07,640 --> 00:13:10,680 Speaker 1: right there at eleven Miami Marlins. You know that these 248 00:13:10,840 --> 00:13:14,040 Speaker 1: teams have extra players at an alternate campsite, they can 249 00:13:14,040 --> 00:13:17,160 Speaker 1: bring them up. But who knows. You know, they played 250 00:13:17,160 --> 00:13:20,000 Speaker 1: the Braves last week in Atlanta, and the Braves were 251 00:13:20,000 --> 00:13:21,840 Speaker 1: in New York they played the Mets. Now the Mets 252 00:13:21,840 --> 00:13:24,320 Speaker 1: are in Boston to play the Red Socks. So who 253 00:13:24,360 --> 00:13:26,200 Speaker 1: knows how one long this how much this thing can 254 00:13:26,240 --> 00:13:29,160 Speaker 1: spread around. So John, eleven out of a squad of 255 00:13:29,200 --> 00:13:32,880 Speaker 1: how many and therefore doesn't mean that the Braves need 256 00:13:32,920 --> 00:13:34,480 Speaker 1: to get tested as well, and the Phillies need to 257 00:13:34,480 --> 00:13:37,520 Speaker 1: get tested too, Yeah, I would think absolutely. And you know, 258 00:13:37,559 --> 00:13:40,280 Speaker 1: as we just talked about, there's thirty. Normally our team 259 00:13:40,320 --> 00:13:42,360 Speaker 1: in Pastors has had twenty five. They were gonna expand 260 00:13:42,360 --> 00:13:46,720 Speaker 1: it to twenty six. Anyway, they're starting with thirty players, uh, 261 00:13:46,760 --> 00:13:49,320 Speaker 1: and then they have like another thirty, Like there's no 262 00:13:49,400 --> 00:13:52,000 Speaker 1: minor leagues this year, but they have like a reserves 263 00:13:52,040 --> 00:13:54,920 Speaker 1: of about thirty players. So yeah, they can replace these 264 00:13:54,960 --> 00:13:58,280 Speaker 1: eleven players with with other players. But yeah, we have 265 00:13:58,400 --> 00:14:01,040 Speaker 1: to wait on the test results. Are they more Marlins, 266 00:14:01,080 --> 00:14:04,280 Speaker 1: like you said, the Braves, the Phillies, the Phillies was 267 00:14:04,280 --> 00:14:06,880 Speaker 1: supposed to host the Yankees tonight. That game has been 268 00:14:06,920 --> 00:14:09,840 Speaker 1: postponed because the Yankees would have been going into the 269 00:14:09,880 --> 00:14:13,400 Speaker 1: locker room that the Marlins had just used this past weekend. 270 00:14:13,440 --> 00:14:15,880 Speaker 1: So they didn't want that to happen, obviously, and obviously 271 00:14:15,880 --> 00:14:17,520 Speaker 1: there's a ton of money on the line. I mean, 272 00:14:17,520 --> 00:14:19,720 Speaker 1: not to be too cross about it here, John, I mean, 273 00:14:19,800 --> 00:14:22,200 Speaker 1: baseball basically sort of limped over the finish line to 274 00:14:22,280 --> 00:14:26,760 Speaker 1: get these sixty games. They opted not to bubble themselves 275 00:14:26,880 --> 00:14:30,280 Speaker 1: as some of the other leagues have done, and a 276 00:14:30,280 --> 00:14:31,920 Speaker 1: lot of folks have a lot to lose players and 277 00:14:31,920 --> 00:14:35,600 Speaker 1: owners alike here if we if this season doesn't go on, 278 00:14:36,320 --> 00:14:38,760 Speaker 1: Oh there's no question about it, and a lot of surprise. 279 00:14:38,840 --> 00:14:41,040 Speaker 1: We haven't heard yet from the commissioner around Manford, but 280 00:14:41,080 --> 00:14:44,040 Speaker 1: I assume we will at some point today that you know, 281 00:14:44,080 --> 00:14:46,640 Speaker 1: maybe he's waiting on these these test results. But it's 282 00:14:46,640 --> 00:14:48,360 Speaker 1: a good point you make about the bubble because the 283 00:14:48,360 --> 00:14:51,400 Speaker 1: other sports are doing that. The hockey players have arrived 284 00:14:51,400 --> 00:14:55,320 Speaker 1: in Canada, they're getting ready to have playoff games this weekend. Um. 285 00:14:55,560 --> 00:14:58,000 Speaker 1: The NBA players are in this bubble in Orlando. The 286 00:14:58,080 --> 00:15:00,880 Speaker 1: latest test results from NBA players were no positive tests, 287 00:15:00,920 --> 00:15:04,640 Speaker 1: so Baseball talked about doing the bubble changed their mind. 288 00:15:05,320 --> 00:15:07,200 Speaker 1: Some people thought maybe they were thought they were smart 289 00:15:07,200 --> 00:15:09,119 Speaker 1: because they were going to go to Florida and Arizona, 290 00:15:09,320 --> 00:15:11,240 Speaker 1: two places you don't want to be right now. But 291 00:15:11,880 --> 00:15:14,480 Speaker 1: no bubble, a lot of travel and you know, that's 292 00:15:14,480 --> 00:15:16,960 Speaker 1: why the Toronto the Canadian government didn't let the Blue 293 00:15:17,000 --> 00:15:20,080 Speaker 1: Jays play in Toronto because they didn't want players traveling 294 00:15:20,360 --> 00:15:22,880 Speaker 1: in and out of the country. And my understanding John 295 00:15:22,880 --> 00:15:25,800 Speaker 1: as well, is that these Marlin's players got tested before 296 00:15:25,880 --> 00:15:28,080 Speaker 1: they played their game against the Phillies, right and then 297 00:15:28,120 --> 00:15:31,000 Speaker 1: they got their results after the game. So they went 298 00:15:31,040 --> 00:15:35,640 Speaker 1: into that game presumably eleven of them um testing positive. 299 00:15:36,080 --> 00:15:39,920 Speaker 1: And right now, in terms of context, the league is 300 00:15:39,960 --> 00:15:42,560 Speaker 1: trying to play when the case number in the country 301 00:15:42,760 --> 00:15:45,520 Speaker 1: is higher than when sports overall shut down in March. 302 00:15:45,800 --> 00:15:48,920 Speaker 1: It's pretty stunning when you think about the broader picture. Well, 303 00:15:48,960 --> 00:15:51,040 Speaker 1: I mean, if you think back to when this all started, 304 00:15:51,040 --> 00:15:54,400 Speaker 1: they remember those one NBA player who tested positive, and 305 00:15:54,400 --> 00:15:56,880 Speaker 1: it was all like, oh my god, you know, and 306 00:15:56,920 --> 00:15:59,960 Speaker 1: now yeah, they're they're playing with with all kinds of 307 00:16:00,000 --> 00:16:04,400 Speaker 1: players having the virus testing positive. Um, you know, they 308 00:16:04,400 --> 00:16:06,720 Speaker 1: were the report. Originally, as of this morning, there was 309 00:16:06,760 --> 00:16:10,240 Speaker 1: that four Marlins had tested positive, and you could argue 310 00:16:10,240 --> 00:16:12,360 Speaker 1: maybe they shouldn't have played a game yesterday, actually won 311 00:16:12,360 --> 00:16:15,040 Speaker 1: the game yesterday in Philadelphia, But then they got more 312 00:16:15,080 --> 00:16:19,280 Speaker 1: test results and now we're up to eleven. And I 313 00:16:19,360 --> 00:16:22,560 Speaker 1: have to think Roger Goodella and others in the National 314 00:16:22,600 --> 00:16:26,920 Speaker 1: Football League or watching this in a very very worried way, John, Oh, yeah, absolutely, 315 00:16:26,960 --> 00:16:30,360 Speaker 1: football is a big question mark. They can't have a bubble, 316 00:16:30,440 --> 00:16:32,360 Speaker 1: you know. I mean, there's just too man two large 317 00:16:32,360 --> 00:16:35,760 Speaker 1: a roster, so many coaches and all that, so you know, 318 00:16:35,800 --> 00:16:38,320 Speaker 1: it's such a contact sport and some of the college 319 00:16:38,360 --> 00:16:41,360 Speaker 1: players where we're having workouts and we were hearing about, 320 00:16:41,680 --> 00:16:44,960 Speaker 1: you know, dozens of positive tests as a result of that. 321 00:16:45,000 --> 00:16:47,280 Speaker 1: College football as a whole other story, you know, with 322 00:16:47,320 --> 00:16:49,080 Speaker 1: the kids who are not if they may not even 323 00:16:49,120 --> 00:16:52,360 Speaker 1: have classes and they really have football games. So I'm 324 00:16:52,360 --> 00:16:54,720 Speaker 1: sure the NFL is gonna try. You talked before about 325 00:16:54,800 --> 00:16:56,960 Speaker 1: the money involved, So the NFL is gonna give it 326 00:16:57,000 --> 00:16:58,720 Speaker 1: a go, but I think there's a lot of questions 327 00:16:58,760 --> 00:17:01,280 Speaker 1: about whether it'll work. All right, John stash Our, We're 328 00:17:01,320 --> 00:17:04,000 Speaker 1: gonna leave it there. Thank you so much. Great context 329 00:17:04,119 --> 00:17:07,200 Speaker 1: and keeping us up to date on a story scarlet 330 00:17:07,240 --> 00:17:09,440 Speaker 1: that obviously all of us are watching. You and I 331 00:17:09,480 --> 00:17:12,040 Speaker 1: are big sports fans, and it was great to see 332 00:17:12,040 --> 00:17:15,400 Speaker 1: baseball back. But who knows, maybe short lived, or maybe 333 00:17:15,480 --> 00:17:17,680 Speaker 1: they will find a way through this hard to say. 334 00:17:17,840 --> 00:17:21,240 Speaker 1: You're listening to Bloomberg business Week, Well, let's dive into 335 00:17:21,920 --> 00:17:25,800 Speaker 1: the magazine if we can. Bloomberg business Week, this is 336 00:17:25,800 --> 00:17:29,639 Speaker 1: a story that's on the Bloomberg and at Bloomberg dot com. 337 00:17:29,840 --> 00:17:32,080 Speaker 1: One of our phase him a parmer. She joins us 338 00:17:32,320 --> 00:17:34,800 Speaker 1: on the phone from New York City, along with Joel Weber, 339 00:17:34,880 --> 00:17:38,720 Speaker 1: the editor of Bloomberg Business Week. He joins us from Massachusetts. 340 00:17:39,240 --> 00:17:41,320 Speaker 1: You know, I love talking about hedge funds and fees 341 00:17:41,400 --> 00:17:43,479 Speaker 1: and money in Wall Street. Joel so te this up 342 00:17:43,480 --> 00:17:48,479 Speaker 1: for us. Uh So, the moment that um Nischanch, who 343 00:17:48,560 --> 00:17:50,880 Speaker 1: was one of the UH co authors on this kind 344 00:17:50,880 --> 00:17:52,840 Speaker 1: of spoke up about it, I was like, oh, please 345 00:17:52,880 --> 00:17:56,840 Speaker 1: tell me more. And obviously the two and twenty UH 346 00:17:56,960 --> 00:18:00,680 Speaker 1: business model has been a mainstay of the hedge funds 347 00:18:00,760 --> 00:18:04,359 Speaker 1: in this industry. UM, but we're we're beginning to see 348 00:18:04,800 --> 00:18:08,679 Speaker 1: UH that get trimmed and um and it's not just 349 00:18:08,760 --> 00:18:11,280 Speaker 1: a little trimming. It's a big trim him. And what 350 00:18:11,320 --> 00:18:15,200 Speaker 1: did you guys discover as you dug into the numbers 351 00:18:15,200 --> 00:18:19,240 Speaker 1: behind the story? Yeah, so UM in our story, we 352 00:18:19,240 --> 00:18:22,680 Speaker 1: we're looking at the fee changes over see hedgebund sees 353 00:18:22,720 --> 00:18:25,000 Speaker 1: them falling for a number of years. But what we're 354 00:18:25,000 --> 00:18:27,879 Speaker 1: seeing now is not only are they continuing to fall, 355 00:18:28,080 --> 00:18:31,040 Speaker 1: but you're seeing a lot of UM creative things that 356 00:18:31,280 --> 00:18:36,359 Speaker 1: hedge funds are offering more concessions UM, such things as 357 00:18:36,640 --> 00:18:39,760 Speaker 1: one funds offering to cover all investor losses that's almost 358 00:18:39,880 --> 00:18:42,679 Speaker 1: never heard of UM. One fund is doing away with 359 00:18:42,720 --> 00:18:45,919 Speaker 1: performance fees until they hit a threshold. Some firms are 360 00:18:46,000 --> 00:18:49,119 Speaker 1: lowering their fees in exchange for locking up capital for 361 00:18:49,160 --> 00:18:52,280 Speaker 1: more time. And what this is reflective of is UM 362 00:18:53,240 --> 00:18:55,680 Speaker 1: a decline and some of the assets that we're seeing 363 00:18:55,680 --> 00:18:57,840 Speaker 1: as investors have been pulling away from hedge funds a 364 00:18:57,880 --> 00:19:03,320 Speaker 1: little bit and demand doing uh lower fees as performances 365 00:19:03,359 --> 00:19:05,840 Speaker 1: away and just hasn't compared to the kind of returns 366 00:19:05,920 --> 00:19:08,480 Speaker 1: we were seeing twenty years ago. Okay, so when we 367 00:19:08,600 --> 00:19:11,240 Speaker 1: talk about two and twenty, is two percent management fees 368 00:19:11,240 --> 00:19:14,000 Speaker 1: and is the cut of profits? A lot of people 369 00:19:14,040 --> 00:19:16,440 Speaker 1: have said that two and twenty has been out of 370 00:19:16,720 --> 00:19:19,200 Speaker 1: play for a long time. There have been modifications to that. 371 00:19:19,600 --> 00:19:21,680 Speaker 1: But in your story how much you also talk about 372 00:19:21,720 --> 00:19:26,480 Speaker 1: this one or thirty fee model. What does that even mean? Yeah, 373 00:19:26,560 --> 00:19:30,040 Speaker 1: so one or thirty it's been champion by an L 374 00:19:30,119 --> 00:19:33,000 Speaker 1: Born And basically what it means is in a good year, 375 00:19:33,040 --> 00:19:36,800 Speaker 1: as a fun you could charge of the performance and 376 00:19:37,240 --> 00:19:39,800 Speaker 1: no assets, no fees on the asset side. But in 377 00:19:39,880 --> 00:19:42,400 Speaker 1: a bad year you would charge just one percent of assets. 378 00:19:42,720 --> 00:19:46,120 Speaker 1: And what that does is it equals it equals out 379 00:19:46,520 --> 00:19:48,399 Speaker 1: um the fees that you can charge and makes them 380 00:19:48,440 --> 00:19:51,879 Speaker 1: more attractive to potential investors. And this has become increasingly 381 00:19:52,000 --> 00:19:55,440 Speaker 1: popular with a number of hedge funds, and it's becoming 382 00:19:55,600 --> 00:19:58,600 Speaker 1: um something that I think allocators are asking for too. 383 00:20:00,480 --> 00:20:02,879 Speaker 1: So him UM when when you think about, you know, 384 00:20:03,119 --> 00:20:07,800 Speaker 1: how long the hedge fund industry has gotten UM gotten 385 00:20:08,359 --> 00:20:10,240 Speaker 1: you know away with this this has been really the 386 00:20:12,080 --> 00:20:15,960 Speaker 1: normal for for decades now, UM. And obviously this has 387 00:20:16,080 --> 00:20:21,320 Speaker 1: some profound impact UM, especially for investors. Uh So we're 388 00:20:21,560 --> 00:20:25,960 Speaker 1: investors actually saying about this change in tactic because I 389 00:20:26,000 --> 00:20:27,760 Speaker 1: mean it seems almost like it could have happened a 390 00:20:27,840 --> 00:20:31,280 Speaker 1: decade ago. UM at this point, UM, you know, is 391 00:20:31,320 --> 00:20:33,919 Speaker 1: it is it all happening too late? And and how 392 00:20:34,040 --> 00:20:37,800 Speaker 1: sticky is this money ultimately going to be among institutional 393 00:20:38,000 --> 00:20:42,000 Speaker 1: institutional investors. Well, investors I think are happy. UM, they 394 00:20:42,080 --> 00:20:45,600 Speaker 1: are able to negotiate and get better sees. The bigger 395 00:20:45,720 --> 00:20:48,560 Speaker 1: the allocator is, the more influence they have, the better 396 00:20:48,600 --> 00:20:51,640 Speaker 1: fees they can negotiate for themselves. UM. Even the numbers 397 00:20:51,680 --> 00:20:55,080 Speaker 1: that we've mentioned in our story, UM, an allocator could 398 00:20:55,560 --> 00:20:58,840 Speaker 1: an investor could demand an even more preferential treatment for 399 00:20:58,880 --> 00:21:02,000 Speaker 1: themselves if they have a big ticket investment investment that 400 00:21:02,040 --> 00:21:07,080 Speaker 1: they're making. UM. And etaties have been declining as hedge been. 401 00:21:07,119 --> 00:21:09,320 Speaker 1: Performance has been souring if we look at it as 402 00:21:09,359 --> 00:21:11,719 Speaker 1: a whole. But I think investors over the past few 403 00:21:11,800 --> 00:21:14,720 Speaker 1: years have been getting particularly frustrated. And as we're seeing 404 00:21:14,840 --> 00:21:17,680 Speaker 1: this year, UM, this this environment has been hard of 405 00:21:17,760 --> 00:21:20,280 Speaker 1: funds to trade in. Their performance hasn't been so great 406 00:21:20,359 --> 00:21:22,320 Speaker 1: and if you look broadly across the space, there has 407 00:21:22,359 --> 00:21:25,720 Speaker 1: been some outliers, but UM, you're seeing it's just a 408 00:21:26,000 --> 00:21:31,120 Speaker 1: much much difficult fundraising environment. Is particularly for smaller managers. UM. 409 00:21:32,000 --> 00:21:34,399 Speaker 1: Some of the money has gone towards the bigger funds. 410 00:21:34,880 --> 00:21:37,680 Speaker 1: As you know, it's once you get to being a 411 00:21:37,880 --> 00:21:41,000 Speaker 1: twenty billion dollar fund um, it's it's a lot harder 412 00:21:41,040 --> 00:21:45,120 Speaker 1: to lose that stature. But for a small expense, we're 413 00:21:45,440 --> 00:21:47,080 Speaker 1: just kind of working their way up and trying to 414 00:21:47,160 --> 00:21:49,879 Speaker 1: gain assets. It's an incredibly difficult time. Those are the 415 00:21:49,920 --> 00:21:53,200 Speaker 1: ones that especially are having to rethink about rethink their 416 00:21:53,240 --> 00:21:56,800 Speaker 1: CE model and their fee structure. So, Emma, when you 417 00:21:57,119 --> 00:22:00,720 Speaker 1: look at this story, that sort of really nice data 418 00:22:00,800 --> 00:22:04,760 Speaker 1: driven trend story against a lot of the breaking news 419 00:22:04,920 --> 00:22:07,080 Speaker 1: great scoops that you've had over the past couple of 420 00:22:07,200 --> 00:22:10,960 Speaker 1: years around big investors saying, you know what big hedge 421 00:22:11,040 --> 00:22:12,760 Speaker 1: and investors thing, I'm just going to do the family 422 00:22:12,840 --> 00:22:15,520 Speaker 1: office thing, or I'm gonna shut it down a little bit. 423 00:22:15,720 --> 00:22:21,280 Speaker 1: I mean, those have to be somehow synthesized, right, Yes, 424 00:22:21,560 --> 00:22:24,840 Speaker 1: And we've seen especially that this year and last year, 425 00:22:25,200 --> 00:22:28,399 Speaker 1: a number of firms pivots from being a big name 426 00:22:28,480 --> 00:22:31,399 Speaker 1: hedge funds into a family offers. If we look at 427 00:22:31,440 --> 00:22:35,520 Speaker 1: John Paulson just just this month, I believe um and 428 00:22:35,640 --> 00:22:37,720 Speaker 1: so that is that does speak to the broader trend 429 00:22:37,760 --> 00:22:40,120 Speaker 1: that we're seeing. Also, a lot of big names hedge 430 00:22:40,119 --> 00:22:42,439 Speaker 1: funds like called to the Jones firm and Alan Howard, 431 00:22:42,680 --> 00:22:45,000 Speaker 1: they've had to cut fees in recent years. So you 432 00:22:45,080 --> 00:22:50,080 Speaker 1: are seeing UM, the old school guard, the big titans 433 00:22:50,119 --> 00:22:53,240 Speaker 1: of the industry also facing this reckoning that we're seeing 434 00:22:53,280 --> 00:22:55,800 Speaker 1: in the space, UM having to adjust, having to be 435 00:22:55,920 --> 00:23:00,200 Speaker 1: more creative as particularly fundamental firms that haven't adapt into 436 00:23:00,240 --> 00:23:04,440 Speaker 1: becoming more quantitative or included more unique trading methods, they've 437 00:23:04,440 --> 00:23:06,840 Speaker 1: struggled if they have failed to do that, and that 438 00:23:06,960 --> 00:23:08,760 Speaker 1: has also been part of the factors if we look 439 00:23:08,800 --> 00:23:11,240 Speaker 1: at some of the firms that have closed down or 440 00:23:11,320 --> 00:23:13,920 Speaker 1: only traded their own internal lasts as well. You know, 441 00:23:14,040 --> 00:23:17,919 Speaker 1: the thing that reminds me of the bigger picture here 442 00:23:18,040 --> 00:23:20,000 Speaker 1: is that hedge funds really never got their mojo back 443 00:23:20,040 --> 00:23:23,800 Speaker 1: after the financial crisis. UM the central bank intervention increased 444 00:23:23,840 --> 00:23:26,760 Speaker 1: all the correlation between the different assets, that reduced volatility. 445 00:23:27,000 --> 00:23:29,639 Speaker 1: Yet we did have volatility in the first quarter of 446 00:23:29,720 --> 00:23:32,120 Speaker 1: this year and it was not a good first quarter 447 00:23:32,200 --> 00:23:34,760 Speaker 1: for hedge funds. Why not? Why was the volatility not 448 00:23:34,840 --> 00:23:38,080 Speaker 1: the right kind of volatility? Right? So you had been 449 00:23:38,119 --> 00:23:40,959 Speaker 1: focused on a specific kind of volatility, and sometimes if 450 00:23:41,000 --> 00:23:45,679 Speaker 1: it's too short term and to unexpected, they don't. They 451 00:23:45,760 --> 00:23:49,000 Speaker 1: find out a lot harder to trade, especially systematic funds. 452 00:23:49,000 --> 00:23:51,159 Speaker 1: At a computer driven UM, they did a little bit 453 00:23:51,240 --> 00:23:53,719 Speaker 1: more time to catch up with the spikes and volatility. 454 00:23:53,760 --> 00:23:56,040 Speaker 1: And so if it's over a short lip and then 455 00:23:56,119 --> 00:23:58,919 Speaker 1: at random spurts, that's a lot harder to trade than 456 00:23:59,000 --> 00:24:01,480 Speaker 1: a longer period of vlatility over a couple of months, 457 00:24:01,800 --> 00:24:07,040 Speaker 1: which then you can um to make more opportunistic trades. UM. 458 00:24:07,280 --> 00:24:09,840 Speaker 1: If it's a sudden shock, as we've seen, that has 459 00:24:09,880 --> 00:24:11,840 Speaker 1: been a lot harder. So that's why I think you've 460 00:24:11,840 --> 00:24:15,360 Speaker 1: seen a lot of struggles in March, which most fun 461 00:24:15,560 --> 00:24:18,320 Speaker 1: firms did did terribly that that month. And if you 462 00:24:18,359 --> 00:24:21,880 Speaker 1: look at our chart UM and our story we take, 463 00:24:22,000 --> 00:24:25,600 Speaker 1: we have a line graph that shows the SMP as 464 00:24:25,640 --> 00:24:29,040 Speaker 1: it as it compares to a hedgebunt performance, and since 465 00:24:29,080 --> 00:24:31,879 Speaker 1: two thousands and eight you'll see broadly that hedgegunt to 466 00:24:31,880 --> 00:24:35,439 Speaker 1: have trailed the SMP increasingly with a broader spread UM 467 00:24:35,640 --> 00:24:38,680 Speaker 1: compared to prior to two thousand and eight. Yeah, sort 468 00:24:38,720 --> 00:24:40,800 Speaker 1: of defeats the whole purpose of all those fees if 469 00:24:40,840 --> 00:24:42,920 Speaker 1: you ask me, all right, hemm a parmer, thank you 470 00:24:42,960 --> 00:24:45,000 Speaker 1: so much. Great piece of reporting. Check it out on 471 00:24:45,040 --> 00:24:48,239 Speaker 1: the Bloomberg and at Bloomberg dot com, not surprisingly one 472 00:24:48,280 --> 00:24:50,760 Speaker 1: of the most read. Hemma headgund reporter for Bloomberg on 473 00:24:50,840 --> 00:24:53,240 Speaker 1: the phone from New York City. Follow her at Parmar 474 00:24:53,520 --> 00:24:56,280 Speaker 1: Hemma for all of her scoops. Our thanks as well 475 00:24:56,359 --> 00:24:58,680 Speaker 1: to Joel Webber, editor of Bloomberg Business Week. He joined 476 00:24:58,760 --> 00:25:06,639 Speaker 1: us from Massachusett. It's a journal, yeah, but you let 477 00:25:06,680 --> 00:25:11,520 Speaker 1: me drive. Oh no, no, no, no, honey, please, I'll 478 00:25:11,560 --> 00:25:14,800 Speaker 1: do the right vel et me. I want to try it. 479 00:25:17,480 --> 00:25:30,560 Speaker 1: Just drive, baby, good questions trying. This is the Drive 480 00:25:30,680 --> 00:25:35,600 Speaker 1: to the Globe. Thanks. We'll try us on Bluebird Radio. 481 00:25:36,200 --> 00:25:38,200 Speaker 1: And it is time for the Drive to the Clothes 482 00:25:38,280 --> 00:25:41,000 Speaker 1: on this Monday afternoon. Jason Kelley and Scarlet Food here 483 00:25:41,119 --> 00:25:43,760 Speaker 1: with you, and we're joined by Bert White, chief investment 484 00:25:43,800 --> 00:25:47,400 Speaker 1: officer of LPL Financial, on the phone from Charlotte. Burt, 485 00:25:47,480 --> 00:25:49,600 Speaker 1: really nice to have you with us. First of all, 486 00:25:50,000 --> 00:25:52,639 Speaker 1: what's going on down in Charlotte. I'm guessing it is 487 00:25:52,840 --> 00:25:54,639 Speaker 1: probably about as hot as it is here in the 488 00:25:54,720 --> 00:25:58,159 Speaker 1: New York City area. But how's everything going with virus 489 00:25:58,280 --> 00:26:01,879 Speaker 1: cases and all that has it field there? Well, it 490 00:26:02,200 --> 00:26:05,480 Speaker 1: is hot, and the good news is that air conditioning 491 00:26:05,680 --> 00:26:08,640 Speaker 1: is helping when you're staying at home. But no doubt 492 00:26:08,680 --> 00:26:11,639 Speaker 1: about it, there is, uh, you know, an upward trend 493 00:26:11,800 --> 00:26:14,760 Speaker 1: of of nervousness around some of the cases that are 494 00:26:14,800 --> 00:26:17,200 Speaker 1: coming through in this regional area of the South in 495 00:26:17,440 --> 00:26:21,719 Speaker 1: general has been a little bit quick to to reopen. Um. 496 00:26:21,880 --> 00:26:24,200 Speaker 1: It's all that quick reopening and now we're beginning to 497 00:26:24,240 --> 00:26:27,520 Speaker 1: start to see an increase in cases, and so being careful, 498 00:26:27,680 --> 00:26:31,320 Speaker 1: is is really what's happening here? Then down here in Charlotte, Well, 499 00:26:31,400 --> 00:26:33,040 Speaker 1: it sounds like you're doing well, and I'm glad to 500 00:26:33,119 --> 00:26:36,080 Speaker 1: hear that that's the case. Um. When you look at 501 00:26:36,119 --> 00:26:38,280 Speaker 1: what's happening around you and then you look at the 502 00:26:38,320 --> 00:26:40,960 Speaker 1: stock market, is it is there disconnect or does it 503 00:26:41,040 --> 00:26:45,119 Speaker 1: make sense to you? Well, I've never seen the market, 504 00:26:45,520 --> 00:26:49,159 Speaker 1: the stock market and the economy be as disparate um 505 00:26:49,280 --> 00:26:52,560 Speaker 1: in their absolute results. Um. I do think that's the 506 00:26:52,600 --> 00:26:55,920 Speaker 1: real watch out for investors though. I think investors want 507 00:26:55,960 --> 00:26:58,160 Speaker 1: to look at things and determine whether or not it's 508 00:26:58,240 --> 00:27:01,320 Speaker 1: good or it's bad. You know, like so far earnings 509 00:27:01,440 --> 00:27:05,040 Speaker 1: is down year every year? Is that good or is 510 00:27:05,080 --> 00:27:07,480 Speaker 1: that bad? And so the reality is that's not the 511 00:27:07,560 --> 00:27:10,080 Speaker 1: metric the market nor the economy sort of looks at 512 00:27:10,280 --> 00:27:13,280 Speaker 1: it's really is it better or worse? And I think 513 00:27:13,400 --> 00:27:16,680 Speaker 1: by and large from the market, dow and the economic view, 514 00:27:16,840 --> 00:27:20,240 Speaker 1: things are getting better both and so to some degree 515 00:27:20,280 --> 00:27:23,920 Speaker 1: the metric that matters most is actually in harmony between 516 00:27:24,000 --> 00:27:27,240 Speaker 1: the market and UM and the economy. It's just the 517 00:27:27,320 --> 00:27:30,600 Speaker 1: absolute levels that are so disparate that's really got things 518 00:27:30,720 --> 00:27:34,119 Speaker 1: pretty uh pretty confusing. And so Bert, how big of 519 00:27:34,160 --> 00:27:37,480 Speaker 1: a role does the FED play here? That don't fight 520 00:27:37,560 --> 00:27:41,640 Speaker 1: the FED mantra? The market by all accounts, at least 521 00:27:41,680 --> 00:27:46,280 Speaker 1: partially was up today. Given a sentiment around what we 522 00:27:46,960 --> 00:27:49,800 Speaker 1: may hear may not hear candidly from j. Pale and 523 00:27:49,880 --> 00:27:53,840 Speaker 1: his colleagues on Wednesday, where does the FED fit into 524 00:27:53,920 --> 00:27:58,119 Speaker 1: this equation? I think the FED, frankly is the is 525 00:27:58,200 --> 00:28:01,439 Speaker 1: the most important, uh way, and the most important words 526 00:28:02,080 --> 00:28:04,560 Speaker 1: right now, that's the backstop right now. That is the 527 00:28:04,640 --> 00:28:08,040 Speaker 1: first relay runner. You know, oftentimes try to talk about 528 00:28:08,080 --> 00:28:11,359 Speaker 1: these recoveries as being relay races um and what you 529 00:28:11,440 --> 00:28:14,040 Speaker 1: need is you actually need to have a strong runner, 530 00:28:14,080 --> 00:28:16,120 Speaker 1: and then they got to pass the baton to somebody else. 531 00:28:16,640 --> 00:28:19,840 Speaker 1: And the FED is always the first runner in these recoveries, 532 00:28:19,920 --> 00:28:22,359 Speaker 1: always the first runner, and They've run hard and they've 533 00:28:22,440 --> 00:28:24,800 Speaker 1: run long. And what I think you're going to hear 534 00:28:24,840 --> 00:28:26,800 Speaker 1: the FED stay, which they have been saying the last 535 00:28:26,840 --> 00:28:29,440 Speaker 1: few meetings, is it's time for someone else to take 536 00:28:29,520 --> 00:28:31,920 Speaker 1: this baton, and they're trying. They've been trying to give 537 00:28:31,960 --> 00:28:35,080 Speaker 1: this baton really the fiscal policy, and by and large 538 00:28:35,240 --> 00:28:38,000 Speaker 1: they've run pretty well, and we'll probably see some more 539 00:28:38,080 --> 00:28:40,720 Speaker 1: running there. My guess is you will hear pal and 540 00:28:40,800 --> 00:28:43,480 Speaker 1: you will hear the FED say that they are going 541 00:28:43,560 --> 00:28:45,640 Speaker 1: to continue to be very dubbish. They're going to continue 542 00:28:45,680 --> 00:28:49,040 Speaker 1: to support this. I think they're gonna hint to low rates, 543 00:28:49,560 --> 00:28:52,320 Speaker 1: uh for longer. I don't know what you know. We've 544 00:28:52,360 --> 00:28:54,280 Speaker 1: been saying that the FED is lower for longer. I 545 00:28:54,280 --> 00:28:56,680 Speaker 1: don't know what longer than longer is whatever that is, 546 00:28:56,800 --> 00:28:59,240 Speaker 1: that is what they're lower. And so I think you're 547 00:28:59,240 --> 00:29:01,800 Speaker 1: gonna hear more of that news. Yeah, people have interpreted 548 00:29:01,840 --> 00:29:05,240 Speaker 1: that to mean lower forever or at least in our lifetime. UM. 549 00:29:05,600 --> 00:29:08,440 Speaker 1: I like the analogy of passing the baton to fiscal policy, 550 00:29:08,680 --> 00:29:12,080 Speaker 1: and we've seen how fiscal policymakers are are kind of 551 00:29:12,120 --> 00:29:14,239 Speaker 1: stumbling getting out of the gate. They can't quite get there. 552 00:29:14,520 --> 00:29:17,240 Speaker 1: We know the Republicans will be proposing something in the 553 00:29:17,320 --> 00:29:20,280 Speaker 1: next hour or two. Um, what does it mean in 554 00:29:20,480 --> 00:29:23,960 Speaker 1: terms of how much it's going to affect day to 555 00:29:24,040 --> 00:29:26,160 Speaker 1: day trading over the next couple of weeks, Because we're 556 00:29:26,160 --> 00:29:28,920 Speaker 1: probably not going to get any kind of agreement today tomorrow, 557 00:29:29,000 --> 00:29:31,200 Speaker 1: but this will be something that's negotiated on. We're gonna 558 00:29:31,240 --> 00:29:33,320 Speaker 1: get lots of headlines that will conflict with each other, 559 00:29:33,760 --> 00:29:35,520 Speaker 1: and it's you know, we're gonna go through all the 560 00:29:35,560 --> 00:29:38,880 Speaker 1: machinations before something eventually happens. Is the stock market going 561 00:29:38,920 --> 00:29:40,560 Speaker 1: to be held hostage to that or do people just 562 00:29:40,680 --> 00:29:42,880 Speaker 1: look past that and assume something's going to come out 563 00:29:42,920 --> 00:29:45,360 Speaker 1: of it. We'll just we'll just go ahead and and 564 00:29:45,880 --> 00:29:49,240 Speaker 1: and price in the fact that it will get resolved. Well, 565 00:29:49,400 --> 00:29:51,160 Speaker 1: I think the stock market is going to try to 566 00:29:51,400 --> 00:29:54,959 Speaker 1: bully a bit of a response. I wouldn't be surprised if, um, 567 00:29:55,200 --> 00:29:58,560 Speaker 1: if the market doesn't get some of the more positive, gearing, 568 00:29:58,760 --> 00:30:01,880 Speaker 1: forward looking rhetoric on this. It doesn't look good, it 569 00:30:02,000 --> 00:30:03,960 Speaker 1: doesn't look positive, it doesn't look like it's going to 570 00:30:04,000 --> 00:30:06,080 Speaker 1: happen in the next week or two. I think you'll 571 00:30:06,080 --> 00:30:08,840 Speaker 1: see the market through a slight temper tantrum wouldn't be 572 00:30:08,880 --> 00:30:12,280 Speaker 1: surprised if you see a couple of sharp down days 573 00:30:12,680 --> 00:30:15,240 Speaker 1: as the market just sort of sends its message that 574 00:30:15,400 --> 00:30:17,680 Speaker 1: this is really important. This is the next runner in 575 00:30:17,720 --> 00:30:19,680 Speaker 1: this relay race. It's got to step up and do that. 576 00:30:20,360 --> 00:30:22,880 Speaker 1: And right now I think sometimes watching them needs to 577 00:30:22,920 --> 00:30:25,600 Speaker 1: be shaken just a bit. They've got to shake that 578 00:30:25,680 --> 00:30:27,920 Speaker 1: sugar tree just a bit. And the market is not 579 00:30:28,000 --> 00:30:30,080 Speaker 1: afraid to do that. You saw it do that in March. 580 00:30:30,160 --> 00:30:31,960 Speaker 1: You saw it do it in April, you saw do 581 00:30:32,040 --> 00:30:34,240 Speaker 1: it something may it will do it if it needs to. 582 00:30:34,720 --> 00:30:37,160 Speaker 1: I think you'll probably see that happen. If um, if 583 00:30:37,200 --> 00:30:39,160 Speaker 1: the rehed rick that comes out of Washington is the 584 00:30:39,240 --> 00:30:42,440 Speaker 1: positive before looking so Bert, I think some of the 585 00:30:42,480 --> 00:30:44,520 Speaker 1: research that you and your team have done, you know, 586 00:30:44,640 --> 00:30:48,880 Speaker 1: talk about this swoosh, this Nike swoosh shape recovery. Um, 587 00:30:49,280 --> 00:30:51,920 Speaker 1: has that sort of been your consistent view or how 588 00:30:52,040 --> 00:30:55,000 Speaker 1: has that evolved over time? And what does the latest 589 00:30:55,080 --> 00:30:57,920 Speaker 1: round of earnings tell you about that in terms of 590 00:30:57,960 --> 00:31:02,920 Speaker 1: your confidence there? Yeah, that's that's been our view really 591 00:31:03,120 --> 00:31:05,960 Speaker 1: through the outfit. You know, the reality is we've felt 592 00:31:06,040 --> 00:31:10,320 Speaker 1: more confident around the direction and the slope that has 593 00:31:10,360 --> 00:31:13,040 Speaker 1: been where we've been largely most confident. I think trying 594 00:31:13,080 --> 00:31:15,640 Speaker 1: to trying to get levels in timing is harder, UM. 595 00:31:15,800 --> 00:31:18,760 Speaker 1: But I think direction and slope has been really where 596 00:31:18,760 --> 00:31:21,680 Speaker 1: we've been most confident. And we're still seeing this, uh, 597 00:31:21,800 --> 00:31:25,880 Speaker 1: this Nike swoop type of move. The reality is coming 598 00:31:25,920 --> 00:31:29,960 Speaker 1: off bottoms and extremes. It is relatively common to get 599 00:31:30,040 --> 00:31:33,080 Speaker 1: a very fast, sharp move UM, but I think here 600 00:31:33,120 --> 00:31:35,000 Speaker 1: going forward, it's going to be a lot harder for 601 00:31:35,080 --> 00:31:38,480 Speaker 1: those next games, UM, both in economic games and others. 602 00:31:38,760 --> 00:31:41,400 Speaker 1: And on top of that, UM, you've got a fair 603 00:31:41,440 --> 00:31:44,400 Speaker 1: amount of concern around the election, and then also the 604 00:31:44,560 --> 00:31:46,840 Speaker 1: increase in some of the cases we've seen here um 605 00:31:47,160 --> 00:31:49,800 Speaker 1: after some of these early reopenings, and so all that 606 00:31:49,960 --> 00:31:52,360 Speaker 1: mixed together, I think the next part of this recovery 607 00:31:52,440 --> 00:31:54,880 Speaker 1: is going to be the harder part of this recovery UM, 608 00:31:55,040 --> 00:31:58,520 Speaker 1: and therefore sort of lends itself to slower growth but 609 00:31:58,640 --> 00:32:01,480 Speaker 1: still an upward trajectory. Okay, slower growth but still an 610 00:32:01,560 --> 00:32:04,120 Speaker 1: upper trajectory. Is that better or worse than what we 611 00:32:04,160 --> 00:32:06,800 Speaker 1: can expect from Europe? Because there's been a lot more 612 00:32:06,880 --> 00:32:10,000 Speaker 1: talk about how Europe might provide better opportunities right now, 613 00:32:10,120 --> 00:32:12,920 Speaker 1: especially after all those countries managed to come together and 614 00:32:13,080 --> 00:32:16,959 Speaker 1: unanimously agree on the seven hundred fifty billion euro rescue package. 615 00:32:17,160 --> 00:32:19,000 Speaker 1: The Republicans can't figure out what they want to do, 616 00:32:19,120 --> 00:32:22,000 Speaker 1: but you have twenty countries in Europe coming up with 617 00:32:22,040 --> 00:32:26,440 Speaker 1: a solution in thirty seconds or less. Fert Well, I 618 00:32:26,520 --> 00:32:29,080 Speaker 1: think in thirty seconds or less. The reality is that 619 00:32:29,240 --> 00:32:32,400 Speaker 1: that Europe's got some other issues. They've got deficit, They've 620 00:32:32,440 --> 00:32:34,640 Speaker 1: got a ton of populism that's going to continue to 621 00:32:34,720 --> 00:32:36,920 Speaker 1: drive that, and so we think that's going to continue 622 00:32:36,960 --> 00:32:39,680 Speaker 1: to weigh on growth there. Um, we think the United 623 00:32:39,760 --> 00:32:42,080 Speaker 1: States and to some degree China are really the two 624 00:32:42,120 --> 00:32:44,640 Speaker 1: places that you're going to see the quickest bounce back 625 00:32:44,680 --> 00:32:47,680 Speaker 1: here economically. All Right, you nailed it. Great job. Thank 626 00:32:47,720 --> 00:32:50,800 Speaker 1: you so much for White, chief investment officer for LPL Financial. 627 00:32:50,880 --> 00:32:54,320 Speaker 1: Joinus on the phone from Charlotte. Stay safe down there, 628 00:32:54,440 --> 00:32:57,240 Speaker 1: Stay safe and cool. Uh. The same can be said 629 00:32:57,560 --> 00:32:59,640 Speaker 1: for those of us here in the Northeast right now. 630 00:32:59,680 --> 00:33:03,480 Speaker 1: Record temperatures sweeping through New York and Boston as we 631 00:33:03,600 --> 00:33:06,160 Speaker 1: heard for days to come to Jason, I know, no, 632 00:33:06,880 --> 00:33:10,520 Speaker 1: it's it's unrelenting. It's unrelenting. Thanks so much for listening 633 00:33:10,560 --> 00:33:13,520 Speaker 1: to Bloomberg. Business Week, Download the podcast on iTunes, SoundCloud, 634 00:33:13,560 --> 00:33:16,280 Speaker 1: Bloomberg dot com, or wherever you get your podcasts. And 635 00:33:16,360 --> 00:33:18,280 Speaker 1: of course you can always listen to our radio show 636 00:33:18,320 --> 00:33:21,040 Speaker 1: at two pm Eastern on Bloomberg Radio, or watch us 637 00:33:21,040 --> 00:33:23,320 Speaker 1: on YouTube by searching Bloomberg Global News