1 00:00:02,680 --> 00:00:05,360 Speaker 1: Welcome to the Bloomberg Penl Podcast. I'm Paul swing you 2 00:00:05,400 --> 00:00:07,720 Speaker 1: along with my co host Lisa Brahma Waits. Each day 3 00:00:07,760 --> 00:00:10,280 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,320 --> 00:00:12,560 Speaker 1: you and your money. Whether at the grocery store or 5 00:00:12,600 --> 00:00:15,480 Speaker 1: the trading floor, find a Bloomberg Penl podcast on Apple 6 00:00:15,560 --> 00:00:18,000 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:18,000 --> 00:00:21,400 Speaker 1: at Bloomberg dot com. Right now, we want to shift 8 00:00:21,440 --> 00:00:25,000 Speaker 1: the conversation, Paul, to what is going on in what 9 00:00:25,120 --> 00:00:28,520 Speaker 1: has become the epicenter in some places of the crisis, 10 00:00:28,600 --> 00:00:32,080 Speaker 1: which is nursing homes and health care centers for immuno 11 00:00:32,440 --> 00:00:34,880 Speaker 1: compromised individuals. And there's no one better for us to 12 00:00:34,920 --> 00:00:37,920 Speaker 1: speak to than Shelley's son, chief executive officer and founder 13 00:00:37,920 --> 00:00:41,200 Speaker 1: of bright Star Care, which is a national private duty 14 00:00:41,240 --> 00:00:45,080 Speaker 1: home care and medical staffing franchise. So with a national 15 00:00:45,240 --> 00:00:48,760 Speaker 1: look at some of those more vulnerable individuals, Shelley, can 16 00:00:48,800 --> 00:00:51,360 Speaker 1: you give us a sense of how big of an 17 00:00:51,400 --> 00:00:54,080 Speaker 1: issue the coronavirus and its spread has been for you 18 00:00:54,160 --> 00:00:57,880 Speaker 1: and your staff. Thank you so much. I think for us, 19 00:00:57,920 --> 00:01:00,279 Speaker 1: we we came into the crisis with all of our 20 00:01:00,320 --> 00:01:04,960 Speaker 1: locations joint Commission accredited, so you know, hand hygiene and 21 00:01:05,200 --> 00:01:09,760 Speaker 1: safety protocols were um paramount to our day to day activities. UM. 22 00:01:09,840 --> 00:01:13,800 Speaker 1: So we have had relatively minimal, you know, less than 23 00:01:13,880 --> 00:01:18,920 Speaker 1: five percent impact of our caregiving staff and our clients. 24 00:01:19,040 --> 00:01:22,479 Speaker 1: But it's certainly something with the vulnerable population, the most 25 00:01:22,560 --> 00:01:25,640 Speaker 1: at risk population that we take care of every day, 26 00:01:25,680 --> 00:01:28,679 Speaker 1: that we've tried to make sure that we've taken what 27 00:01:28,760 --> 00:01:32,880 Speaker 1: was a higher standard before and elevated it. We began 28 00:01:33,040 --> 00:01:36,720 Speaker 1: looking at PPE orders back March seventh, you know, back 29 00:01:36,760 --> 00:01:38,920 Speaker 1: the floor. You know, it was really you know, starting 30 00:01:38,959 --> 00:01:42,399 Speaker 1: to affect um our business and we were seeing any 31 00:01:42,480 --> 00:01:46,280 Speaker 1: positive cases at all. UM we were in a four 32 00:01:46,319 --> 00:01:48,800 Speaker 1: week que to get p P and e P pe 33 00:01:49,120 --> 00:01:52,560 Speaker 1: U ordered. We've made available to every frontline worker in 34 00:01:53,360 --> 00:01:56,559 Speaker 1: masks because we believe it is essential when they're going 35 00:01:56,640 --> 00:02:00,000 Speaker 1: in and out of a client's home. There's no way 36 00:02:00,000 --> 00:02:03,200 Speaker 1: and you're providing personal care or skilled care in the 37 00:02:03,280 --> 00:02:06,000 Speaker 1: home that you can be uh six ft apart and 38 00:02:06,040 --> 00:02:09,399 Speaker 1: do that type of care. So making sure that we 39 00:02:09,960 --> 00:02:13,040 Speaker 1: contain UM the virus and not have it spread to 40 00:02:13,080 --> 00:02:16,680 Speaker 1: our most vulnerable, keeping people at home, allowing them to 41 00:02:16,720 --> 00:02:19,480 Speaker 1: recuperate if they get it at home and not further 42 00:02:19,560 --> 00:02:23,080 Speaker 1: over tax our hospital systems. UM. It's how we've really 43 00:02:23,080 --> 00:02:25,200 Speaker 1: tried to lean in and be part of the crisis. 44 00:02:25,600 --> 00:02:28,040 Speaker 1: I think generally what we've seen across the industry is 45 00:02:28,080 --> 00:02:33,320 Speaker 1: where you have much more people coming and going or 46 00:02:33,600 --> 00:02:36,480 Speaker 1: clustering of people. So you've seen nursing homes much harder 47 00:02:36,560 --> 00:02:39,720 Speaker 1: hit UM. And in the homes we had to really 48 00:02:39,840 --> 00:02:43,519 Speaker 1: you know, draw a fineline on those where we had 49 00:02:43,720 --> 00:02:47,679 Speaker 1: UM deployed PPE early UM. But some of the hospice 50 00:02:47,720 --> 00:02:49,600 Speaker 1: and Medicare home health that might be coming in and 51 00:02:49,639 --> 00:02:52,080 Speaker 1: out of the same home or not UH, so we 52 00:02:52,120 --> 00:02:54,359 Speaker 1: required if they were going to that we were educating 53 00:02:54,360 --> 00:02:58,520 Speaker 1: a family on what those UM employees of other agencies 54 00:02:58,560 --> 00:03:00,560 Speaker 1: should have if they're coming in out of the same home. 55 00:03:00,760 --> 00:03:03,240 Speaker 1: So we kept the clients safe, but also our workers 56 00:03:03,400 --> 00:03:05,359 Speaker 1: UM that would be coming in and out of that environment. 57 00:03:05,760 --> 00:03:08,720 Speaker 1: Because the cases that we did see early we're from 58 00:03:08,720 --> 00:03:12,400 Speaker 1: a hospice worker, Medicare home health worker that UH tested 59 00:03:12,440 --> 00:03:15,480 Speaker 1: positive and then we know that our worker had been 60 00:03:15,520 --> 00:03:17,680 Speaker 1: exposed and most of those cases our worker did not 61 00:03:17,760 --> 00:03:22,080 Speaker 1: contract UM. But we increased our standards for the home 62 00:03:22,880 --> 00:03:25,560 Speaker 1: for our caregiver, but also the partners in the care 63 00:03:25,600 --> 00:03:29,639 Speaker 1: continuum that we were alongside up on a daily basis. So, Shelly, 64 00:03:29,680 --> 00:03:33,200 Speaker 1: have you in the home healthcare space seen a surge 65 00:03:33,440 --> 00:03:38,080 Speaker 1: in demand? As you know, this coronavirus puts people in hospital, 66 00:03:38,080 --> 00:03:40,320 Speaker 1: but but then maybe they come out of hospital, or 67 00:03:40,560 --> 00:03:43,680 Speaker 1: maybe people choose home healthcare versus going into what it 68 00:03:43,720 --> 00:03:46,520 Speaker 1: seems to be a much higher risk UH nursing home 69 00:03:46,640 --> 00:03:49,360 Speaker 1: or or ty type of environment. Yeah, I think you've 70 00:03:49,400 --> 00:03:51,840 Speaker 1: seen an interesting trend over six weeks. So I think 71 00:03:51,880 --> 00:03:54,720 Speaker 1: we're starting to see a surge and referrals were at 72 00:03:54,760 --> 00:03:57,080 Speaker 1: all time high the last ten days in terms of 73 00:03:57,160 --> 00:04:01,480 Speaker 1: referrals UM and inquiries for care UH compared to the 74 00:04:01,680 --> 00:04:04,280 Speaker 1: three or four months prior. So I think you're starting 75 00:04:04,320 --> 00:04:08,000 Speaker 1: to see people come through hospital stays, get ready for 76 00:04:08,080 --> 00:04:10,880 Speaker 1: discharge and want to go into a home environment and 77 00:04:10,960 --> 00:04:15,880 Speaker 1: have that care continuing them to rebuild their um UM, 78 00:04:16,160 --> 00:04:19,440 Speaker 1: their ability to ward off anything else UM and and 79 00:04:19,520 --> 00:04:23,120 Speaker 1: safely transitioned to the home. UH. During the early stages 80 00:04:23,160 --> 00:04:26,200 Speaker 1: of the crisis, we UM saw you know, quite a 81 00:04:26,200 --> 00:04:28,279 Speaker 1: few of our clients and we've been tracking it. We've 82 00:04:28,320 --> 00:04:31,760 Speaker 1: had over we service about fifteen to twenty thousand families 83 00:04:31,880 --> 00:04:35,680 Speaker 1: UM in forty states. We had about three hundred four 84 00:04:35,800 --> 00:04:39,960 Speaker 1: hundred clients across the country kind of early stage mid 85 00:04:40,000 --> 00:04:43,560 Speaker 1: March stop care. UM. We've seen about ten to fifteen 86 00:04:43,600 --> 00:04:45,919 Speaker 1: percent of those sents come back because we're tracking that 87 00:04:46,080 --> 00:04:48,480 Speaker 1: as well. UM, where I think people thought it might 88 00:04:48,520 --> 00:04:51,640 Speaker 1: be a two to four week uh scenario and now 89 00:04:51,680 --> 00:04:54,159 Speaker 1: as we look at that and it's more months, maybe 90 00:04:54,200 --> 00:04:57,920 Speaker 1: over a year UM in terms of vaccination and completely 91 00:04:58,200 --> 00:05:00,279 Speaker 1: being able to kind of return safely out to that 92 00:05:00,560 --> 00:05:03,480 Speaker 1: environment for the most at risk population. UH. So I 93 00:05:03,480 --> 00:05:06,400 Speaker 1: think what we saw as original drop off, somebody's starting 94 00:05:06,400 --> 00:05:11,479 Speaker 1: to recover. Shelley, your company has over twenty caregivers and 95 00:05:11,560 --> 00:05:14,359 Speaker 1: four thousand nurses, and you're in one area of the 96 00:05:14,400 --> 00:05:17,720 Speaker 1: economy that may be a bright spot for hiring right 97 00:05:17,720 --> 00:05:21,039 Speaker 1: now of it an unprecedented surge of layoffs, and I'm 98 00:05:21,040 --> 00:05:24,600 Speaker 1: wondering how easy it is for you to find individuals 99 00:05:24,720 --> 00:05:28,160 Speaker 1: to higher at this time and just in general as 100 00:05:28,160 --> 00:05:33,200 Speaker 1: the President seeks to limit some of the immigration going forward. Yeah, 101 00:05:33,200 --> 00:05:35,120 Speaker 1: I think it's a great question. I think, um, you know, 102 00:05:35,240 --> 00:05:38,320 Speaker 1: up until we were able to deploy Ppe, which happened 103 00:05:38,680 --> 00:05:43,279 Speaker 1: last UH last week m beginning UM of the week, 104 00:05:43,360 --> 00:05:45,279 Speaker 1: we were able to start to ploint Ppe. I think 105 00:05:45,279 --> 00:05:47,720 Speaker 1: now it's becoming easier for us to be able to 106 00:05:48,360 --> 00:05:51,080 Speaker 1: give the message that we're able to keep our caregivers 107 00:05:51,120 --> 00:05:54,760 Speaker 1: safe as well as encouraging to come to or back 108 00:05:54,800 --> 00:05:57,320 Speaker 1: to the workforce. But I think that was I think 109 00:05:57,320 --> 00:06:00,680 Speaker 1: that's still a difficult call. Even though there are jobs available, 110 00:06:01,320 --> 00:06:04,520 Speaker 1: many don't have child care for their children. Uh schools 111 00:06:04,560 --> 00:06:08,520 Speaker 1: are closed. Most of our caregivers across the country are 112 00:06:08,560 --> 00:06:14,120 Speaker 1: working moms, oftentimes single moms. Uh so having the desire 113 00:06:14,160 --> 00:06:18,280 Speaker 1: to want to serve and take care of our mos vulnerable, 114 00:06:18,360 --> 00:06:20,400 Speaker 1: but at the same time having your own children to 115 00:06:20,520 --> 00:06:23,440 Speaker 1: deal with and a round four, there's some you know, 116 00:06:23,600 --> 00:06:27,120 Speaker 1: language being introduced in terms of heroes fund um. I 117 00:06:27,120 --> 00:06:30,839 Speaker 1: think that's absolutely critical that we're thinking about our frontline 118 00:06:30,880 --> 00:06:34,200 Speaker 1: healthcare workers. Right now, that language is limited to only 119 00:06:34,240 --> 00:06:37,839 Speaker 1: those that are building the federal, state, local, or tribal governments, 120 00:06:37,839 --> 00:06:40,440 Speaker 1: and we think that that needs to be expanded to 121 00:06:40,520 --> 00:06:44,120 Speaker 1: anyone who's keeping the at risk population from over taxing 122 00:06:44,120 --> 00:06:46,920 Speaker 1: a health system and keeping them safe and reducing the 123 00:06:47,000 --> 00:06:49,240 Speaker 1: number of at risk. And so we'll be looking for 124 00:06:49,320 --> 00:06:51,920 Speaker 1: that in our engagement with our members of Congress for 125 00:06:52,000 --> 00:06:55,200 Speaker 1: round four just quickly here, Shelley, I'm wondering, are you 126 00:06:55,200 --> 00:06:58,480 Speaker 1: finding that you're having to increase the salaries of individuals 127 00:06:58,480 --> 00:07:01,800 Speaker 1: in order to entice that that now we would absolutely 128 00:07:01,800 --> 00:07:03,359 Speaker 1: and we have done that and then rolled out that 129 00:07:03,440 --> 00:07:07,240 Speaker 1: capability to our franchisees probably about three weeks ago, to 130 00:07:07,320 --> 00:07:10,760 Speaker 1: be adding kind of an incentive type of pay. I 131 00:07:10,760 --> 00:07:13,320 Speaker 1: think we've called it kind of a safe, safe safety 132 00:07:13,320 --> 00:07:17,000 Speaker 1: pay uh for our caregivers to encourage them to come 133 00:07:17,000 --> 00:07:19,240 Speaker 1: back when they we do know that they're at home. 134 00:07:19,280 --> 00:07:21,560 Speaker 1: Costs are higher in terms of having to arrange for 135 00:07:21,680 --> 00:07:24,520 Speaker 1: child care that schools are not able to provide today, 136 00:07:24,560 --> 00:07:27,720 Speaker 1: and wanting to be cognizant of that. UM And even 137 00:07:27,760 --> 00:07:30,080 Speaker 1: though you know, the industry kind of banded together and 138 00:07:30,200 --> 00:07:33,200 Speaker 1: was successful in getting an exemption for f f C 139 00:07:33,400 --> 00:07:35,640 Speaker 1: R A at the same time that Saturday night, we 140 00:07:36,000 --> 00:07:38,520 Speaker 1: you know, did you know, declare victory with our franchisees. 141 00:07:38,560 --> 00:07:41,720 Speaker 1: The immediate communication from me to the franchisease UM was 142 00:07:41,800 --> 00:07:44,120 Speaker 1: just because we don't have to pay, it doesn't mean 143 00:07:44,160 --> 00:07:48,680 Speaker 1: we shouldn't if any of our caregivers are symptomatic, um, 144 00:07:48,720 --> 00:07:51,160 Speaker 1: you know, not feeling well or have contracted the virus. 145 00:07:51,160 --> 00:07:52,760 Speaker 1: We should still make sure they're not having to worry 146 00:07:52,800 --> 00:07:55,200 Speaker 1: about where their next meal is going to come from 147 00:07:55,240 --> 00:07:56,920 Speaker 1: and how their families are going to be taken care of. 148 00:07:57,040 --> 00:08:01,240 Speaker 1: So we have stood stood by that position as a 149 00:08:01,320 --> 00:08:04,000 Speaker 1: brand and at the local level buy our franchisees as well. 150 00:08:04,160 --> 00:08:06,480 Speaker 1: So I think we're trying to balance the right things. 151 00:08:06,480 --> 00:08:08,400 Speaker 1: We have a vulnerable population. We need to be able 152 00:08:08,440 --> 00:08:09,800 Speaker 1: to take care of an f f c R A 153 00:08:10,200 --> 00:08:12,720 Speaker 1: exemption was criticals were also being able to do that, 154 00:08:12,920 --> 00:08:14,520 Speaker 1: but at the same time, we want to make sure 155 00:08:14,520 --> 00:08:17,240 Speaker 1: our workers are well protected and we can recruit the 156 00:08:17,320 --> 00:08:20,000 Speaker 1: numbers necessary. That's going to become a challenge as more 157 00:08:20,000 --> 00:08:23,000 Speaker 1: people want to pivot and stay at home. Uh, So 158 00:08:23,080 --> 00:08:25,480 Speaker 1: we're looking for any and all ideas to do that. 159 00:08:25,920 --> 00:08:27,880 Speaker 1: Shelly Son, thank you so much for joining us. Shelley's 160 00:08:27,880 --> 00:08:30,120 Speaker 1: the CEO and founder bright starcare talking about the in 161 00:08:30,240 --> 00:08:35,600 Speaker 1: home care market, which is facing unprecedented demands the population 162 00:08:35,679 --> 00:08:39,280 Speaker 1: deals with the coronavirus. But very interesting to get her 163 00:08:39,360 --> 00:08:46,280 Speaker 1: perspective on in home healthcare. This is Bloomberg. Paul, there's 164 00:08:46,320 --> 00:08:49,319 Speaker 1: a story that caught my attention in the past week. Disney, 165 00:08:49,360 --> 00:08:52,040 Speaker 1: a company that you have tracked for years, stopped paying 166 00:08:52,520 --> 00:08:56,439 Speaker 1: a hundred thousand workers, which is roughly half its workforce, 167 00:08:57,080 --> 00:09:00,280 Speaker 1: laying them off even as it protects executive own as 168 00:09:00,280 --> 00:09:03,120 Speaker 1: schemes and a one and a half billion dollar dividend 169 00:09:03,120 --> 00:09:06,120 Speaker 1: payment due in July. This has raised a lot of 170 00:09:06,160 --> 00:09:09,760 Speaker 1: ire among a lot of people, particularly with respect to 171 00:09:10,440 --> 00:09:14,560 Speaker 1: executive compensation, but also the dividend payment. Should they continue 172 00:09:14,600 --> 00:09:16,760 Speaker 1: to pay a dividend as they lay off tens of 173 00:09:16,840 --> 00:09:19,920 Speaker 1: thousands of workers to go on the public role? This 174 00:09:20,000 --> 00:09:23,160 Speaker 1: is a question in the forefront of many minds, both 175 00:09:23,160 --> 00:09:26,080 Speaker 1: investment minds as well as political ones, and John Tobin 176 00:09:26,120 --> 00:09:28,120 Speaker 1: has been thinking about it as well. He joins us 177 00:09:28,160 --> 00:09:31,560 Speaker 1: now portfolio manager of Epic Investment Partners. And you believe 178 00:09:31,600 --> 00:09:35,600 Speaker 1: that the companies should still maintain their dividends despite some 179 00:09:35,679 --> 00:09:38,400 Speaker 1: of the catastrophic hits to earnings as well as the 180 00:09:38,480 --> 00:09:41,760 Speaker 1: layoffs that we're seeing that are now numbering into the millions. 181 00:09:41,920 --> 00:09:45,480 Speaker 1: Why well, at least I think I'd probbably take a 182 00:09:45,520 --> 00:09:49,400 Speaker 1: more nuanced approach to answering that question. I think our 183 00:09:49,480 --> 00:09:51,080 Speaker 1: view is the way I had expressed it is, we 184 00:09:51,120 --> 00:09:55,680 Speaker 1: expect companies to continue to follow sound capital allocation practices 185 00:09:55,679 --> 00:09:57,960 Speaker 1: and policy and I think we need to look at 186 00:09:58,000 --> 00:10:01,640 Speaker 1: this question. We're on a company by company, situation by 187 00:10:01,640 --> 00:10:06,400 Speaker 1: situation basis. If a company is doing reasonably well and 188 00:10:06,480 --> 00:10:10,240 Speaker 1: maintaining its revenues, earnings, and cash flows, even in this 189 00:10:10,320 --> 00:10:14,559 Speaker 1: episode that we're working our way through, it has a 190 00:10:14,720 --> 00:10:18,520 Speaker 1: commitment to pay dividends that it has promised to investors. 191 00:10:18,559 --> 00:10:20,760 Speaker 1: And that dividend, by the way, is a flow of 192 00:10:20,840 --> 00:10:24,599 Speaker 1: income two investors, so it doesn't go out into the 193 00:10:24,679 --> 00:10:28,840 Speaker 1: void somewhere. Real people are getting that real dividend payment. 194 00:10:28,880 --> 00:10:31,240 Speaker 1: So to cut off the dividend payment is a source 195 00:10:31,280 --> 00:10:34,880 Speaker 1: of income in many cases too many investors and many 196 00:10:34,920 --> 00:10:37,280 Speaker 1: retirees who depend on that source of income. So it's 197 00:10:37,320 --> 00:10:41,439 Speaker 1: not as simple as it seems to be. Gee, times 198 00:10:41,440 --> 00:10:45,920 Speaker 1: are really tough. How can companies justify paying dividends in 199 00:10:45,920 --> 00:10:47,960 Speaker 1: this episode? And I think it's a it's a much 200 00:10:48,000 --> 00:10:54,120 Speaker 1: more complex problem in question than just that. So interesting, 201 00:10:54,240 --> 00:10:56,160 Speaker 1: how do you feel about I mean, there's also some 202 00:10:56,240 --> 00:10:59,680 Speaker 1: discussion about companies john that are receiving I guess some 203 00:10:59,720 --> 00:11:03,400 Speaker 1: of this uh fiscal stimulus. Uh. And then also you know, 204 00:11:04,160 --> 00:11:07,280 Speaker 1: should there be I guess conditions there to that stimulus 205 00:11:07,480 --> 00:11:12,600 Speaker 1: in terms of executive compensation? Or dividends. Um, how do 206 00:11:12,600 --> 00:11:16,680 Speaker 1: you think companies are approaching that and investors? Well, and 207 00:11:16,720 --> 00:11:19,600 Speaker 1: I think that's a perfectly reasonable approach. If your business 208 00:11:20,360 --> 00:11:23,600 Speaker 1: is so fundamentally challenged in this episode that you need 209 00:11:23,679 --> 00:11:27,920 Speaker 1: to apply for government aid, it's not at all unreasonable 210 00:11:27,920 --> 00:11:31,160 Speaker 1: that as a condition for receiving that aid, that you agree, 211 00:11:31,280 --> 00:11:33,280 Speaker 1: at least for a period of time, perhaps for the 212 00:11:33,320 --> 00:11:35,880 Speaker 1: period of time during which you're receiving the aid, to 213 00:11:36,040 --> 00:11:41,240 Speaker 1: halt dividend payments to shareholders, to halt share repurchase programs, 214 00:11:41,360 --> 00:11:45,280 Speaker 1: and to adjust the executive compensation levels. That's not unreasonable. 215 00:11:45,840 --> 00:11:49,880 Speaker 1: What is unreasonable, I would argue, is a mandate or 216 00:11:49,920 --> 00:11:52,760 Speaker 1: a directive to a company that says, regardless of whether 217 00:11:52,840 --> 00:11:56,320 Speaker 1: you apply or need aid, and regardless of whether your 218 00:11:56,320 --> 00:11:59,960 Speaker 1: business judgment tells you that you're generating enough revenues, are 219 00:12:00,080 --> 00:12:03,800 Speaker 1: and cash flow to maintain your promises to your shareholders, 220 00:12:03,920 --> 00:12:08,200 Speaker 1: you should stop anyway. I think that's problematic. That's fair, 221 00:12:08,240 --> 00:12:11,000 Speaker 1: and I think that people are looking at companies that 222 00:12:11,080 --> 00:12:16,119 Speaker 1: are laying off significant swaths of their employees as candidates 223 00:12:16,160 --> 00:12:19,199 Speaker 1: for potentially cutting their dividends. I guess this push pull 224 00:12:19,280 --> 00:12:22,440 Speaker 1: that you talk about maintaining your promise to your shareholders 225 00:12:22,480 --> 00:12:25,800 Speaker 1: and trying to edifire balance shade at a time of 226 00:12:26,000 --> 00:12:30,240 Speaker 1: unprecedented distress. That these two that these two issues are 227 00:12:30,280 --> 00:12:33,160 Speaker 1: are really in stark contrast. I'm curious, from your perspective, 228 00:12:33,160 --> 00:12:35,840 Speaker 1: do you think that shareholders will take a more active 229 00:12:35,880 --> 00:12:40,600 Speaker 1: approach in rewarding companies that act perhaps in a more 230 00:12:40,760 --> 00:12:43,600 Speaker 1: socially responsible I use that word. I hate using it 231 00:12:43,640 --> 00:12:46,120 Speaker 1: because it could mean anything to anyone, but in a 232 00:12:46,200 --> 00:12:49,720 Speaker 1: way that reflects something that that feels right, whatever that 233 00:12:49,800 --> 00:12:53,960 Speaker 1: means to them. Well, that's an interesting question, and I 234 00:12:54,000 --> 00:12:57,160 Speaker 1: suppose that there will be that sentiment out there that 235 00:12:57,160 --> 00:12:59,280 Speaker 1: people will look at a company and say, do I 236 00:12:59,360 --> 00:13:02,040 Speaker 1: like this company? They did the right thing, whatever that 237 00:13:02,320 --> 00:13:05,200 Speaker 1: actually means. But I would also say, from you know, 238 00:13:05,240 --> 00:13:07,880 Speaker 1: from my perspective as a portfolio manager on a strategy 239 00:13:07,920 --> 00:13:11,040 Speaker 1: that invests in companies, that we look for companies that 240 00:13:11,160 --> 00:13:17,880 Speaker 1: have sustainable, growing cash flows, that support sustainable, growing shareholder distributions, 241 00:13:17,920 --> 00:13:20,800 Speaker 1: and we expect those companies to invest in the business 242 00:13:20,840 --> 00:13:24,360 Speaker 1: and grow. We expect those companies to make a decision, 243 00:13:24,400 --> 00:13:27,400 Speaker 1: a capital allocation decision. Can I invest to earnermate a 244 00:13:27,440 --> 00:13:29,840 Speaker 1: return about my cost of capital and to the extent 245 00:13:29,880 --> 00:13:32,920 Speaker 1: that I cannot, then I should return night capital to 246 00:13:32,960 --> 00:13:34,800 Speaker 1: the owners of the business. And those are the kinds 247 00:13:34,800 --> 00:13:37,720 Speaker 1: of companies that were looking for so for me, and 248 00:13:37,760 --> 00:13:41,200 Speaker 1: I think from a sound corporate governance and corporate finance 249 00:13:41,240 --> 00:13:45,400 Speaker 1: standpoint that that should be the driving principle for these 250 00:13:45,440 --> 00:13:50,640 Speaker 1: corporate management teams and rather than doing the right thing 251 00:13:50,960 --> 00:13:57,360 Speaker 1: and cutting dividends just because of the the bad optics 252 00:13:57,400 --> 00:14:00,720 Speaker 1: of paying dividends. So, John, what are some of the 253 00:14:00,760 --> 00:14:03,920 Speaker 1: sectors or companies that you guys are looking at now? 254 00:14:04,040 --> 00:14:07,640 Speaker 1: Given again, just this tremendous dislocation that we've seen in 255 00:14:07,880 --> 00:14:10,280 Speaker 1: the economies and in the markets. We've got some more 256 00:14:10,760 --> 00:14:13,360 Speaker 1: jobless claims today. That just confirms how rough things are 257 00:14:13,360 --> 00:14:17,120 Speaker 1: out there. How are you navigating it? Well, it's it's 258 00:14:17,120 --> 00:14:20,280 Speaker 1: tough to navigate, to be sure. It's it's an unprecedented 259 00:14:20,320 --> 00:14:23,440 Speaker 1: situation that we're in. And our approach as we managed 260 00:14:23,440 --> 00:14:26,600 Speaker 1: the portfolio is to try to look really, really carefully 261 00:14:26,640 --> 00:14:29,480 Speaker 1: at each and every position that we have, an assess 262 00:14:29,760 --> 00:14:35,400 Speaker 1: the company's ongoing cash flow sustainability in this environment, sort 263 00:14:35,400 --> 00:14:37,240 Speaker 1: of weed out the ones that we think are weaker 264 00:14:37,240 --> 00:14:39,440 Speaker 1: and that we need to remove from the portfolio. But 265 00:14:39,480 --> 00:14:42,240 Speaker 1: I will tell you here we are in early days 266 00:14:42,280 --> 00:14:45,920 Speaker 1: of quarterly earnings, and we've already seen I think a 267 00:14:45,920 --> 00:14:49,400 Speaker 1: few companies maybe surprise the market with the degree of 268 00:14:49,440 --> 00:14:52,800 Speaker 1: resilience that they have in their underlying businesses. So, for example, 269 00:14:52,840 --> 00:14:56,720 Speaker 1: over the past week, Johnson and Johnson reported earnings and 270 00:14:56,800 --> 00:15:01,360 Speaker 1: raised their dividend. Procter and Gambell reported earning, maintained guidance 271 00:15:02,000 --> 00:15:06,200 Speaker 1: and raise the dividend. Travelers the insurance company reported recently 272 00:15:06,760 --> 00:15:10,720 Speaker 1: raised the dividend. Lockheed Martin reported and their results were 273 00:15:10,800 --> 00:15:15,240 Speaker 1: quite good. So across the economy, across multiple sectors, we're 274 00:15:15,280 --> 00:15:19,920 Speaker 1: actually seeing companies that are navigating themselves through this difficult 275 00:15:20,360 --> 00:15:24,720 Speaker 1: episode and maybe doing better than then you might expect. 276 00:15:25,880 --> 00:15:27,440 Speaker 1: And John, thanks so much for joining us to really 277 00:15:27,440 --> 00:15:32,000 Speaker 1: appreciate your thoughts and perspectives. John Toman he is portfolio 278 00:15:32,080 --> 00:15:36,320 Speaker 1: manager and senior research analysts for APOC Investment Partners UH 279 00:15:36,400 --> 00:15:38,960 Speaker 1: they have about eighteen billion under management. So some really 280 00:15:39,000 --> 00:15:42,400 Speaker 1: interesting thoughts there, Lisa, as it relates to dividends and 281 00:15:43,280 --> 00:15:47,440 Speaker 1: in some scenarios, John arguing that companies as proper asset 282 00:15:47,440 --> 00:15:51,040 Speaker 1: allocation should continue paying dividends, but clearly there's some some 283 00:15:51,160 --> 00:15:53,600 Speaker 1: issues there as it relates to fiscal stimulus. It's an 284 00:15:53,640 --> 00:15:57,360 Speaker 1: important point because people, real people get those dividends and 285 00:15:57,440 --> 00:15:59,560 Speaker 1: use them for income. But there's a question of what 286 00:15:59,600 --> 00:16:01,920 Speaker 1: it means to get government aid when you lay off 287 00:16:01,960 --> 00:16:04,120 Speaker 1: tens of thousands of workers and send them to the 288 00:16:04,120 --> 00:16:05,840 Speaker 1: public rules. And I think that this is going to 289 00:16:05,880 --> 00:16:07,640 Speaker 1: be a debate in the front and center for a 290 00:16:07,680 --> 00:16:13,520 Speaker 1: long time to come. Let's talk markets right here, and 291 00:16:13,520 --> 00:16:15,880 Speaker 1: there's nobody, nobody better to do that with than our 292 00:16:15,880 --> 00:16:18,760 Speaker 1: good friend Barry Ridholtz. He's a Bloomberg opinion columnists and 293 00:16:18,800 --> 00:16:21,440 Speaker 1: host of Masters in Business on Bloomberg Radio. Is also 294 00:16:21,480 --> 00:16:24,000 Speaker 1: the founder, chairman and chief investment officer of rid Holts 295 00:16:24,040 --> 00:16:27,200 Speaker 1: Wealth Management. So he wears a lot of hats. So, Barry, 296 00:16:27,240 --> 00:16:28,960 Speaker 1: as we take a look at this little snap back 297 00:16:28,960 --> 00:16:31,280 Speaker 1: in the green here today, how do you square that 298 00:16:31,400 --> 00:16:37,040 Speaker 1: with you know, another very sobering jobless claims number of 299 00:16:37,080 --> 00:16:41,200 Speaker 1: four point four million. Yeah, everybody looks at the weekly 300 00:16:41,560 --> 00:16:45,200 Speaker 1: jobless numbers as if it's breaking news and and the 301 00:16:45,240 --> 00:16:49,440 Speaker 1: reality is that really is an amalgam of all fifty states. 302 00:16:49,480 --> 00:16:52,840 Speaker 1: The data they released released during the prior seven days. 303 00:16:53,320 --> 00:16:57,880 Speaker 1: By the time the BLS releases his state. By the 304 00:16:57,880 --> 00:17:02,320 Speaker 1: time the federal government releases the national data, anyone who 305 00:17:02,320 --> 00:17:05,560 Speaker 1: wanted to assemble that from by a state by state 306 00:17:05,600 --> 00:17:09,560 Speaker 1: basis could have done it. So it's kind of old news. 307 00:17:09,600 --> 00:17:13,280 Speaker 1: I know that sounds silly because everybody waits with bated breath, 308 00:17:13,359 --> 00:17:18,600 Speaker 1: but you can really reverse engineer that pretty easily a 309 00:17:18,640 --> 00:17:23,280 Speaker 1: couple of days earlier. Plus, is anybody surprised by this 310 00:17:23,400 --> 00:17:27,040 Speaker 1: data at all? We've We've watched twenty two million people 311 00:17:27,320 --> 00:17:30,800 Speaker 1: file for unemployment for the previous month. Nothing has changed. 312 00:17:30,840 --> 00:17:33,520 Speaker 1: We're still under lockdown. People are still having a hard 313 00:17:33,520 --> 00:17:37,800 Speaker 1: time getting through to their state unemployment office, so we 314 00:17:37,840 --> 00:17:42,160 Speaker 1: know the numbers are probably undercounted because of that challenge. 315 00:17:42,960 --> 00:17:46,119 Speaker 1: As long as we're under lockdown, maybe the starts to 316 00:17:46,160 --> 00:17:50,760 Speaker 1: flatten out to four or three or two million a week. 317 00:17:50,880 --> 00:17:55,159 Speaker 1: But you know, we're somewhere between twenty and of the 318 00:17:55,280 --> 00:17:58,600 Speaker 1: people who had a paying, full time job in March 319 00:17:59,520 --> 00:18:02,920 Speaker 1: no longer to do, and that's a huge number with 320 00:18:03,800 --> 00:18:07,760 Speaker 1: enormous economic ramification. Yeah, I was just looking at a 321 00:18:07,800 --> 00:18:11,600 Speaker 1: Pew survey that shows it about stept forty of US 322 00:18:11,640 --> 00:18:14,320 Speaker 1: adults say that someone in their household has lost a 323 00:18:14,400 --> 00:18:17,520 Speaker 1: job or taken a pay cut to the outbreak. I'm 324 00:18:17,600 --> 00:18:20,159 Speaker 1: just trying to extrapolate this out as we pair this 325 00:18:20,320 --> 00:18:24,760 Speaker 1: dismal data with the optimism and markets as to what 326 00:18:24,880 --> 00:18:27,520 Speaker 1: exactly people are looking to. Is this a bet on 327 00:18:27,560 --> 00:18:30,240 Speaker 1: the Federal Reserve and US government that they will pump 328 00:18:30,400 --> 00:18:34,720 Speaker 1: enough money into markets to inflate asset prices and perhaps 329 00:18:34,920 --> 00:18:36,800 Speaker 1: give a little bit of a lifeline to enough of 330 00:18:36,840 --> 00:18:40,600 Speaker 1: the population to enable a recovery in fairly short order. 331 00:18:42,000 --> 00:18:44,840 Speaker 1: I think it's a couple of different factors depending on 332 00:18:45,000 --> 00:18:48,320 Speaker 1: your time frame. If you're a short term trader, you 333 00:18:48,359 --> 00:18:53,280 Speaker 1: look at the market that falls that create in in 334 00:18:53,400 --> 00:18:57,760 Speaker 1: four weeks, that creates a tremendously oversold condition. Once the 335 00:18:57,840 --> 00:19:01,360 Speaker 1: rubber band gets too stretched too far in one direction, 336 00:19:01,880 --> 00:19:04,680 Speaker 1: We've seen it time and again, it tends to snap back, 337 00:19:05,720 --> 00:19:10,320 Speaker 1: at least part way. On a temporary basis, No markets 338 00:19:10,359 --> 00:19:13,720 Speaker 1: go on a straight line. Every bull market is has 339 00:19:14,080 --> 00:19:18,320 Speaker 1: counter trends, down trends that punctuated, just like every bear 340 00:19:18,440 --> 00:19:21,399 Speaker 1: market has these vicious rallies that that move in the 341 00:19:21,400 --> 00:19:24,960 Speaker 1: opposite direction. So so that's just a short term basis. 342 00:19:25,040 --> 00:19:29,520 Speaker 1: The longer term perspective is we don't think this is 343 00:19:29,560 --> 00:19:33,360 Speaker 1: gonna last forever. We do see signs that we are 344 00:19:33,440 --> 00:19:36,840 Speaker 1: either at or near the peak, if if not past it. 345 00:19:37,000 --> 00:19:40,640 Speaker 1: For from New York. Other states are still on the upswing. 346 00:19:40,760 --> 00:19:43,560 Speaker 1: But you know, there's a little bit of light at 347 00:19:43,560 --> 00:19:46,080 Speaker 1: the end of the tunnel. We just don't know if 348 00:19:46,119 --> 00:19:49,600 Speaker 1: it's daylight or an oncoming train, which is why we 349 00:19:49,640 --> 00:19:53,960 Speaker 1: haven't recovered fully. So it's an interesting barrier, like you 350 00:19:54,040 --> 00:19:56,760 Speaker 1: probably put me into more cautious stance as it relates 351 00:19:56,800 --> 00:20:00,439 Speaker 1: to the duration of these lockdowns and quarrant keens and 352 00:20:00,480 --> 00:20:05,760 Speaker 1: potentially reopening the um you know, the economy, if you will. UM. 353 00:20:05,880 --> 00:20:08,520 Speaker 1: So with that backdrop, is this a market that might 354 00:20:08,560 --> 00:20:12,920 Speaker 1: be just bouncing along for number of months and or 355 00:20:13,200 --> 00:20:17,960 Speaker 1: quarters until we really get that definitive view of Okay, 356 00:20:18,000 --> 00:20:21,280 Speaker 1: we've got the testing, or we've got some antibodies or 357 00:20:21,359 --> 00:20:24,040 Speaker 1: what there's we're closer to that vaccine. Is this something 358 00:20:24,080 --> 00:20:25,680 Speaker 1: that just says this is going to hold this market 359 00:20:25,720 --> 00:20:29,720 Speaker 1: and check well, you know, nobody knows if it's late 360 00:20:29,760 --> 00:20:32,760 Speaker 1: twenty or twenty one or early twenty two that you 361 00:20:32,800 --> 00:20:37,160 Speaker 1: could check off all the boxes. Here, here's the full testing, 362 00:20:37,280 --> 00:20:42,840 Speaker 1: here's the contact tracing, here's the antibody um uh protocol 363 00:20:42,920 --> 00:20:44,760 Speaker 1: that will allow people who don't have it to at 364 00:20:44,840 --> 00:20:48,480 Speaker 1: least develop some form of immunity. Whether it's full or partial, 365 00:20:48,880 --> 00:20:51,000 Speaker 1: we don't know. We don't know about the protocols, the 366 00:20:51,000 --> 00:20:55,160 Speaker 1: therapies that turn this from a potentially fatal disease UH 367 00:20:55,200 --> 00:20:57,920 Speaker 1: to a manageable disease. Look look at things like AIDS. 368 00:20:57,960 --> 00:21:01,120 Speaker 1: You never get curtive AIDS, but it be ums um 369 00:21:01,400 --> 00:21:06,040 Speaker 1: there's a therapeutic that manages it. So whether that's six 370 00:21:06,119 --> 00:21:10,199 Speaker 1: months or a year or two years, the market doesn't say, Okay, 371 00:21:10,240 --> 00:21:13,280 Speaker 1: this is the economy is going to halt and we're 372 00:21:13,280 --> 00:21:17,040 Speaker 1: going to go to zero. It's trying to balance between 373 00:21:17,080 --> 00:21:21,160 Speaker 1: the short term drop of earnings and revenue and what 374 00:21:21,200 --> 00:21:25,879 Speaker 1: were the forecasts for hundred and seventy five dollars on 375 00:21:25,920 --> 00:21:29,280 Speaker 1: the SMP, maybe that drops to pick a number, a 376 00:21:29,359 --> 00:21:32,480 Speaker 1: hundred bucks. Uh. We're all spit bowling when we're trying 377 00:21:32,520 --> 00:21:36,359 Speaker 1: to come up with revenue and profit projections for but 378 00:21:36,800 --> 00:21:43,600 Speaker 1: I think we're all pretty confident that by certainly those 379 00:21:43,720 --> 00:21:47,800 Speaker 1: numbers come back. Now now there's a longer debate to 380 00:21:48,000 --> 00:21:52,959 Speaker 1: be had about profit margins and leverage and how freely 381 00:21:53,320 --> 00:21:56,840 Speaker 1: UH and inexpensively, capital has been h and debt has 382 00:21:56,840 --> 00:21:59,240 Speaker 1: been extended, and what might happen with the corporate tax 383 00:21:59,320 --> 00:22:05,679 Speaker 1: rate postal election. That's a whole different conversation. In the 384 00:22:05,720 --> 00:22:08,200 Speaker 1: front and center for investors is trying to figure out 385 00:22:08,200 --> 00:22:10,679 Speaker 1: what data will look at in order to determine the 386 00:22:10,720 --> 00:22:14,200 Speaker 1: scope and the length of this pandemic of this issue. 387 00:22:14,200 --> 00:22:16,400 Speaker 1: And joining us now as someone who has h an 388 00:22:16,400 --> 00:22:19,560 Speaker 1: interesting take on this, Sam Hendall, president of leven Easterly 389 00:22:19,640 --> 00:22:23,000 Speaker 1: with three point six billion dollars of assets, also the 390 00:22:23,000 --> 00:22:27,480 Speaker 1: founder of Data Minor, which is very important as it 391 00:22:27,560 --> 00:22:31,119 Speaker 1: comes to assessing the current crisis. Sam, As you devise 392 00:22:31,160 --> 00:22:36,000 Speaker 1: an investment strategy, what data are you looking at? Sure? 393 00:22:36,359 --> 00:22:39,520 Speaker 1: At least on Paul, how are you? Um, We're really 394 00:22:39,560 --> 00:22:43,679 Speaker 1: looking at um? You know, UM. Really what we do, 395 00:22:43,720 --> 00:22:47,080 Speaker 1: we're value investors and the most important thing for us 396 00:22:47,320 --> 00:22:50,199 Speaker 1: is talking to companies, talking to the management teams and 397 00:22:50,240 --> 00:22:52,520 Speaker 1: really getting a firm understanding of what's going on in 398 00:22:52,560 --> 00:22:55,480 Speaker 1: their business. And that's on the micro level. On the 399 00:22:55,520 --> 00:22:57,840 Speaker 1: macro level, there are a lot of data points that 400 00:22:57,880 --> 00:23:01,120 Speaker 1: are coming out and you know, I certain they do 401 00:23:01,119 --> 00:23:03,840 Speaker 1: do use Data Minor UM, a company I found with 402 00:23:04,080 --> 00:23:06,840 Speaker 1: to my College roomates about eleven years ago. UM, and 403 00:23:06,880 --> 00:23:10,200 Speaker 1: that company is really on the forefront of UM, getting 404 00:23:10,240 --> 00:23:14,680 Speaker 1: information from social media and about ten thousand other sources. UM. 405 00:23:14,760 --> 00:23:16,760 Speaker 1: Right now, we're we're working with a lot of the 406 00:23:16,760 --> 00:23:18,960 Speaker 1: government agencies who are on the front lines of this. 407 00:23:19,520 --> 00:23:23,359 Speaker 1: And I'm seeing data on outbreaks ahead of time, so 408 00:23:23,600 --> 00:23:26,560 Speaker 1: sort of you know, before the testing hits, what people 409 00:23:26,560 --> 00:23:29,359 Speaker 1: are saying on the ground, UM, and we are using 410 00:23:29,400 --> 00:23:31,760 Speaker 1: that to sort of determine, you know, and I think 411 00:23:31,760 --> 00:23:33,960 Speaker 1: it's a very difficult question how long is it gonna 412 00:23:34,000 --> 00:23:36,439 Speaker 1: take for our for our economy to reopen. So on 413 00:23:36,480 --> 00:23:39,520 Speaker 1: the investment side, UM, we are really talking to our 414 00:23:39,560 --> 00:23:43,040 Speaker 1: companies and not trying to you know, not not really 415 00:23:43,040 --> 00:23:45,760 Speaker 1: trying to to aim and guess what the timing is 416 00:23:45,840 --> 00:23:49,119 Speaker 1: for things to reopen, but still finding good businesses that 417 00:23:49,200 --> 00:23:51,360 Speaker 1: are down in value, chief on a free cash law 418 00:23:51,400 --> 00:23:54,600 Speaker 1: basis and have catalysts to unlock them and some things 419 00:23:54,640 --> 00:23:57,200 Speaker 1: that might be defensive in this time, but also have 420 00:23:57,320 --> 00:24:00,480 Speaker 1: some offensive components that we can take advantage of, you know, 421 00:24:00,880 --> 00:24:04,159 Speaker 1: these companies when the world reopens again. So, Sam, what 422 00:24:04,200 --> 00:24:06,359 Speaker 1: are some of those sectors that you think have some 423 00:24:06,400 --> 00:24:11,040 Speaker 1: of those characteristics characteristics? Sure, I mean, the most defensive 424 00:24:11,080 --> 00:24:16,000 Speaker 1: sector you know, clearly has been consumer staples, healthcare, UM. 425 00:24:16,280 --> 00:24:18,240 Speaker 1: These there are a lot of companies that are actually 426 00:24:18,280 --> 00:24:21,160 Speaker 1: doing well in this environment, and it's unusual. The consumer 427 00:24:21,600 --> 00:24:25,480 Speaker 1: has completely shifted spending. Everyone's staying at home and ordering 428 00:24:25,760 --> 00:24:29,760 Speaker 1: or ordering food in whether it's grocery or even some delivery. 429 00:24:30,160 --> 00:24:32,760 Speaker 1: And they're spending money on telecom, they're spending on the 430 00:24:33,000 --> 00:24:36,240 Speaker 1: on their wireless bills, they're spending on cable and entertainment, 431 00:24:36,600 --> 00:24:38,880 Speaker 1: but a lot of the other consumer discretionary has gone 432 00:24:38,920 --> 00:24:41,480 Speaker 1: out the window. And we're really looking at trying to 433 00:24:41,480 --> 00:24:45,760 Speaker 1: find a combination of defensive defensive sectors and defensive defensive 434 00:24:45,760 --> 00:24:48,560 Speaker 1: stocks within those sectors, but also looking at, you know, 435 00:24:48,600 --> 00:24:51,119 Speaker 1: stocks that have been very hard hit by this, whose 436 00:24:51,119 --> 00:24:54,800 Speaker 1: businesses is impaired in the near term, but who has 437 00:24:54,840 --> 00:24:58,320 Speaker 1: a strong balance sheet and can survive this and has 438 00:24:58,359 --> 00:25:01,320 Speaker 1: a very strong business coming other crisis. So it's a 439 00:25:01,359 --> 00:25:05,199 Speaker 1: combo of really positioning our portfolio to take advantage of 440 00:25:05,240 --> 00:25:07,920 Speaker 1: the companies that are succeeding in this environment, and then 441 00:25:07,960 --> 00:25:10,919 Speaker 1: companies that we think will be the best to bounce 442 00:25:10,920 --> 00:25:14,600 Speaker 1: back UM once things go back to work. I've heard 443 00:25:14,600 --> 00:25:16,159 Speaker 1: a lot of people say that there are going to 444 00:25:16,200 --> 00:25:18,720 Speaker 1: be a lot of opportunities emerging from this crisis, and 445 00:25:18,760 --> 00:25:22,560 Speaker 1: we certainly see a rapidly increasing pace of credit funds 446 00:25:22,600 --> 00:25:25,120 Speaker 1: being raised by the likes of Oak Tree and Fortress. 447 00:25:25,160 --> 00:25:28,240 Speaker 1: I'm trying to understand, though, how you get to a 448 00:25:28,280 --> 00:25:30,680 Speaker 1: place where you can take advantage of these opportunities. Did 449 00:25:30,720 --> 00:25:33,200 Speaker 1: you have excess cash going into this? Are you selling 450 00:25:33,240 --> 00:25:35,840 Speaker 1: existing positions that you think are just going to be 451 00:25:35,840 --> 00:25:39,080 Speaker 1: out of money for a long period of time. Yeah, well, 452 00:25:39,119 --> 00:25:42,600 Speaker 1: we we've certainly shifted our portfolio in a significant way. UM. 453 00:25:42,840 --> 00:25:46,200 Speaker 1: We we really didn't have much exposure to travel names 454 00:25:46,400 --> 00:25:48,920 Speaker 1: or um, you know, the cruise lines or airlines or 455 00:25:48,960 --> 00:25:51,600 Speaker 1: anything like that. Um. But you had a period in 456 00:25:51,920 --> 00:25:54,560 Speaker 1: really mid March, mid to late March which was a 457 00:25:54,600 --> 00:25:58,200 Speaker 1: tremendous amount of chaos and people were selling stocks and 458 00:25:58,240 --> 00:26:01,159 Speaker 1: it was really I I joked, the the computers are 459 00:26:01,200 --> 00:26:04,280 Speaker 1: selling and so you have all this quantitative and algorithmic selling. 460 00:26:04,840 --> 00:26:06,760 Speaker 1: And you know, for people like us who are talking 461 00:26:06,800 --> 00:26:10,240 Speaker 1: to the management teams and understanding the companies, UM, it's 462 00:26:10,280 --> 00:26:12,520 Speaker 1: you know, it's great that when when we talked to 463 00:26:12,560 --> 00:26:15,720 Speaker 1: a company who stock is down, um, and this is 464 00:26:15,800 --> 00:26:18,760 Speaker 1: the case with with Tyson Foods. Have a conversation with 465 00:26:18,840 --> 00:26:20,600 Speaker 1: them and they said, yeah, you know, our business is 466 00:26:20,600 --> 00:26:23,800 Speaker 1: doing great. Um, We're not selling to the prepared food markets, 467 00:26:23,840 --> 00:26:27,080 Speaker 1: but we're selling UM. We we've shifted those supply chains 468 00:26:27,280 --> 00:26:29,480 Speaker 1: and we are you know, selling a lot into the 469 00:26:29,480 --> 00:26:32,480 Speaker 1: grocery store and we can't sell enough chicken to people, um, 470 00:26:32,560 --> 00:26:34,960 Speaker 1: and we can take advantage of that during these you know, 471 00:26:35,080 --> 00:26:38,919 Speaker 1: during these challenging times. So, Sam, I guess one of 472 00:26:38,920 --> 00:26:41,480 Speaker 1: the questions is just from stepping back and looking at 473 00:26:41,520 --> 00:26:45,200 Speaker 1: the markets that had that big plus move peaked trough 474 00:26:45,240 --> 00:26:47,720 Speaker 1: there in that March period that you were just referencing, 475 00:26:47,760 --> 00:26:49,720 Speaker 1: but since then we've had you know, almost a fifty 476 00:26:50,119 --> 00:26:53,000 Speaker 1: retracement back up. How do you how are you viewing 477 00:26:53,000 --> 00:26:55,760 Speaker 1: the market overall? Do you think there's risk that we 478 00:26:55,840 --> 00:27:01,600 Speaker 1: retest loads um in the context of a longer bear market. Yeah, 479 00:27:01,640 --> 00:27:04,280 Speaker 1: I do think that, you know, this is a this 480 00:27:04,359 --> 00:27:07,280 Speaker 1: is not a blip. UM. The the the the change 481 00:27:07,280 --> 00:27:10,840 Speaker 1: in the economy right now and the uncertainty around what's 482 00:27:10,840 --> 00:27:16,160 Speaker 1: happening and the ability for companies to to resume normal operations. UM, 483 00:27:16,200 --> 00:27:18,720 Speaker 1: it's very challenging to figure out. So I don't think 484 00:27:18,760 --> 00:27:22,040 Speaker 1: this is a blip. I think this is you know, similar, 485 00:27:22,160 --> 00:27:24,159 Speaker 1: and it's a very different type of crisis than the 486 00:27:24,160 --> 00:27:26,840 Speaker 1: global financial crisis in two thousand and eight. UM. But 487 00:27:26,960 --> 00:27:29,600 Speaker 1: we are following that playbook here. UM. We're trying to 488 00:27:29,680 --> 00:27:32,800 Speaker 1: hit singles. We're not trying to call the bottom UM 489 00:27:32,880 --> 00:27:36,480 Speaker 1: at leaving Easterly. We're certainly are. Our Our mission is 490 00:27:36,520 --> 00:27:39,080 Speaker 1: to know our companies and we have a concentrated portfolio 491 00:27:39,160 --> 00:27:42,080 Speaker 1: about thirty five to forty names UM that we know 492 00:27:42,240 --> 00:27:45,120 Speaker 1: very well and we know their management teams, and we're 493 00:27:45,359 --> 00:27:49,120 Speaker 1: really looking to UM take advantage of some of these dislocations. 494 00:27:49,119 --> 00:27:51,040 Speaker 1: And my view on the markets, I do think the 495 00:27:51,080 --> 00:27:54,280 Speaker 1: market may have snapped that you know this the the 496 00:27:54,359 --> 00:27:58,840 Speaker 1: sell off was you know, UM without regard to specific companies, 497 00:27:59,240 --> 00:28:02,200 Speaker 1: and now we're seeinging you know some I guess order 498 00:28:02,200 --> 00:28:04,239 Speaker 1: in the chaos where you're seeing the companies that are 499 00:28:04,240 --> 00:28:06,919 Speaker 1: doing a little better start to outperform. That have you 500 00:28:06,960 --> 00:28:09,720 Speaker 1: know that that that have a little bit more of 501 00:28:09,720 --> 00:28:12,640 Speaker 1: of a clear path. But it's still a very uncertain 502 00:28:12,680 --> 00:28:15,359 Speaker 1: time and we're just trying to keep a clear head 503 00:28:15,520 --> 00:28:18,480 Speaker 1: and UM follow our playbook from O. Eight and No. Nine, 504 00:28:18,760 --> 00:28:21,280 Speaker 1: buying those good companies with good balance sheets that are 505 00:28:21,280 --> 00:28:23,920 Speaker 1: down and out of favor, and um, and we think, 506 00:28:23,960 --> 00:28:27,440 Speaker 1: you know, in a long term, whether coronavirus um, you know, 507 00:28:27,560 --> 00:28:30,879 Speaker 1: comes back in in the fall winter, or we're not 508 00:28:30,920 --> 00:28:33,840 Speaker 1: able to open up the economy for a while, that 509 00:28:33,400 --> 00:28:36,280 Speaker 1: they still have enough ballast to be okay during that 510 00:28:36,359 --> 00:28:39,080 Speaker 1: period and they'll do very well whenever the whenever the 511 00:28:39,120 --> 00:28:42,520 Speaker 1: economy opens. We're speaking with Sam Hendel, president of eleven 512 00:28:42,640 --> 00:28:45,880 Speaker 1: Easterly with three point six billion dollars of assets under management. 513 00:28:45,960 --> 00:28:49,160 Speaker 1: Sam uh, It's it's a very tricky times. So much 514 00:28:49,320 --> 00:28:52,440 Speaker 1: of the economy depends on science and on the medical 515 00:28:52,480 --> 00:28:55,840 Speaker 1: community and the fight against the coronavirus, which has put 516 00:28:55,960 --> 00:28:59,600 Speaker 1: investors in this awkward position of having to moonlight as virologist. 517 00:29:00,000 --> 00:29:03,080 Speaker 1: A virologists they try to bet on when the economy 518 00:29:03,280 --> 00:29:07,400 Speaker 1: may reopen. What specific data points are you looking at 519 00:29:07,560 --> 00:29:11,800 Speaker 1: determine that path, given that even medical professionals basically are 520 00:29:11,800 --> 00:29:15,360 Speaker 1: shrugging your shoulders and saying, we just don't know. Yeah, 521 00:29:15,360 --> 00:29:18,840 Speaker 1: And I'm certainly I think everyone's unfortunately moonlighting as a 522 00:29:19,000 --> 00:29:22,640 Speaker 1: as a as as a late night viroologist here. Um, 523 00:29:22,680 --> 00:29:25,000 Speaker 1: but um, you know, we're we're we're we're not trying again, 524 00:29:25,040 --> 00:29:27,160 Speaker 1: we're not trying to call that bottom. But the data 525 00:29:27,200 --> 00:29:29,920 Speaker 1: points I'm looking at, we're looking at a number of 526 00:29:29,960 --> 00:29:33,640 Speaker 1: cases per day hospitalizations, UM. And you see the trend 527 00:29:33,640 --> 00:29:37,520 Speaker 1: line the US has has flattened the curve. UM you're seeing. 528 00:29:37,520 --> 00:29:40,520 Speaker 1: You know, today in New York we have fewer hospitalizations 529 00:29:40,520 --> 00:29:43,400 Speaker 1: than we have yesterday. That's a big positive. And so 530 00:29:43,680 --> 00:29:45,840 Speaker 1: I do view that as a you know, a cautious 531 00:29:45,960 --> 00:29:49,000 Speaker 1: yellow light for maybe being a little more offensive in 532 00:29:49,040 --> 00:29:52,120 Speaker 1: our portfolio. That being said, UM, some of the data 533 00:29:52,160 --> 00:29:55,800 Speaker 1: I'm seeing from from my source at Data Minor, UM, 534 00:29:56,000 --> 00:29:58,920 Speaker 1: I see, you know, really about ten to twelve days 535 00:29:58,960 --> 00:30:01,960 Speaker 1: before the caseload. It's I can see hotspots around the 536 00:30:01,960 --> 00:30:05,080 Speaker 1: country and around the globe. UM. I'm very concerned about 537 00:30:05,080 --> 00:30:08,720 Speaker 1: the South. UM in the US. UM. India could be 538 00:30:08,800 --> 00:30:12,720 Speaker 1: a dramatic humanitarian disaster that we just don't know about yet. 539 00:30:13,160 --> 00:30:16,080 Speaker 1: And you know, some countries in Europe and South Korea 540 00:30:16,080 --> 00:30:19,200 Speaker 1: in particular, have done a great job on testing. We 541 00:30:19,240 --> 00:30:21,120 Speaker 1: haven't done a great job here and we just don't 542 00:30:21,160 --> 00:30:23,880 Speaker 1: have enough tests. And so you know, I think it's 543 00:30:24,000 --> 00:30:26,800 Speaker 1: very challenging for the economy to reopen. And when we're 544 00:30:26,800 --> 00:30:29,560 Speaker 1: flying blind here, and I sort of take the example 545 00:30:29,760 --> 00:30:32,360 Speaker 1: of you know, uh, the meat packing facilities that are 546 00:30:32,360 --> 00:30:34,960 Speaker 1: closed right now. Um, there are three big pork facilities 547 00:30:34,960 --> 00:30:39,080 Speaker 1: that are closed around the country. UM. You know what happens, 548 00:30:39,280 --> 00:30:41,600 Speaker 1: you know, if if we reopened the economy and there's 549 00:30:41,600 --> 00:30:44,240 Speaker 1: a case at a school or at at at at 550 00:30:44,280 --> 00:30:47,040 Speaker 1: a plant facility, what's the path that we take. Are 551 00:30:47,080 --> 00:30:48,959 Speaker 1: we able to test all these employees on a day 552 00:30:49,000 --> 00:30:51,440 Speaker 1: to day basis? And right now we're just not And 553 00:30:51,480 --> 00:30:53,600 Speaker 1: we need to build up that capacity. I think before 554 00:30:53,640 --> 00:30:56,880 Speaker 1: we can really get things moving in a faster way. 555 00:30:56,920 --> 00:31:00,320 Speaker 1: But I think we will open slowly. UM. But I'm 556 00:31:00,360 --> 00:31:03,040 Speaker 1: you know, I'm still cautious about the ability, um to 557 00:31:03,160 --> 00:31:05,080 Speaker 1: do it in a in a way where we have 558 00:31:05,360 --> 00:31:08,880 Speaker 1: procedures in place. I think individual companies are starting to 559 00:31:08,920 --> 00:31:12,680 Speaker 1: put that, you know, are starting to put together plans, um, 560 00:31:12,720 --> 00:31:15,040 Speaker 1: but we probably need a little more on the nationwide 561 00:31:15,040 --> 00:31:17,760 Speaker 1: basis on testing. Hey, Sam, thanks so much for joining us. 562 00:31:17,760 --> 00:31:21,280 Speaker 1: We really appreciate your thoughts there. Sam Hendel, president of 563 00:31:21,400 --> 00:31:25,360 Speaker 1: Levin Easterly joining us on the phone. We appreciate his thoughts. 564 00:31:27,080 --> 00:31:29,320 Speaker 1: Thanks for listening to the Bloomberg P and L podcast. 565 00:31:29,480 --> 00:31:32,120 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts 566 00:31:32,160 --> 00:31:35,280 Speaker 1: or whatever podcast platform you prefer. Paul Sweeney, I'm on 567 00:31:35,280 --> 00:31:37,880 Speaker 1: Twitter at pt Sweeney. I'm Lisa abram Boy. It's I'm 568 00:31:37,880 --> 00:31:40,720 Speaker 1: on Twitter at Lisa A. Bram Woit's One before the Podcast. 569 00:31:40,800 --> 00:31:43,360 Speaker 1: You can always catch us worldwide on Bloomberg Radio