1 00:00:04,760 --> 00:00:08,080 Speaker 1: Welcome to the Bloomberg P and L Podcast. I'm PIM Fox. 2 00:00:08,119 --> 00:00:11,200 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,280 --> 00:00:14,480 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:14,520 --> 00:00:16,880 Speaker 1: you and your money, whether at the grocery store or 5 00:00:16,920 --> 00:00:20,680 Speaker 1: the trading floor. Find the Bloomberg P L Podcast on iTunes, 6 00:00:20,840 --> 00:00:29,040 Speaker 1: SoundCloud and at Bloomberg dot com. All, let's gonna check 7 00:00:29,040 --> 00:00:31,800 Speaker 1: on what's going on in the world of retail. Well, 8 00:00:31,840 --> 00:00:34,159 Speaker 1: I guess we shouldn't even call it necessarily just retail 9 00:00:34,240 --> 00:00:38,920 Speaker 1: because Sears Holdings has become more than just a retail story. 10 00:00:39,120 --> 00:00:41,600 Speaker 1: It is a finance story in a big way. In 11 00:00:41,680 --> 00:00:45,639 Speaker 1: here to tell us More's Bert Flickinger, Managing director Strategic Resource, 12 00:00:45,760 --> 00:00:47,920 Speaker 1: a group. He can be followed on Twitter at Bert 13 00:00:48,040 --> 00:00:53,159 Speaker 1: Underscore Flickinger. Alright, Bert Underscore Flickinger Underscore what's going on 14 00:00:53,240 --> 00:00:56,279 Speaker 1: for us at Sears Holdings Because they just got a 15 00:00:56,320 --> 00:00:59,920 Speaker 1: loan but a credit facility, but they're also closing stores. 16 00:01:00,360 --> 00:01:03,200 Speaker 1: They're closing stores, and the worry, PIM UH to your 17 00:01:03,240 --> 00:01:07,040 Speaker 1: good insight is same store sales or in a free fall, 18 00:01:07,200 --> 00:01:10,960 Speaker 1: declining anywhere from UH seven to ten percent on an 19 00:01:10,959 --> 00:01:15,720 Speaker 1: annualized basis and Typically when someone another department store chain, 20 00:01:15,800 --> 00:01:20,279 Speaker 1: for example Macy's closes stores, uh Macy's same store sales 21 00:01:20,319 --> 00:01:23,839 Speaker 1: will increase in the surviving stores or the remaining stores. 22 00:01:23,840 --> 00:01:26,480 Speaker 1: That's that's not the case with Sears, and it's f 23 00:01:26,640 --> 00:01:29,920 Speaker 1: D Reports and Credit and tell of have reported very 24 00:01:29,959 --> 00:01:32,720 Speaker 1: well for a long time on Sears holdings came out 25 00:01:32,760 --> 00:01:36,440 Speaker 1: of a number of others. It's it's the ones that 26 00:01:36,560 --> 00:01:40,559 Speaker 1: can't rebalance themselves beyond the assets. The other thing FD 27 00:01:40,680 --> 00:01:45,160 Speaker 1: Credit and tel reported those the average Sears um lease 28 00:01:45,480 --> 00:01:47,920 Speaker 1: pays out at about five dollars and fifty cents of 29 00:01:48,000 --> 00:01:51,240 Speaker 1: square foot, and on the open market it's probably worth something. 30 00:01:51,240 --> 00:01:54,240 Speaker 1: We're closer to seventeen to twenty dollars of square foot. So, 31 00:01:54,280 --> 00:01:58,320 Speaker 1: like you said, okay, so sevent square foot versus five 32 00:01:58,360 --> 00:02:01,000 Speaker 1: and a half bucks. Yes, I think we can do 33 00:02:01,040 --> 00:02:03,320 Speaker 1: the math. We could definitely do the math. And we're 34 00:02:03,360 --> 00:02:06,200 Speaker 1: taking the math that Cheektawaga, New York, former home of 35 00:02:06,520 --> 00:02:10,680 Speaker 1: George Westinghouse and Westinghouse in the intersection of the transportation 36 00:02:10,760 --> 00:02:15,040 Speaker 1: border between the US and Canada, Sears is closing its 37 00:02:15,040 --> 00:02:18,920 Speaker 1: store in the GALERIUMI mall profitable store, very good customer 38 00:02:19,040 --> 00:02:22,440 Speaker 1: count but Sears can make millions assigning or flipping that 39 00:02:22,560 --> 00:02:25,480 Speaker 1: lease or selling it back to Galeria as supposed to 40 00:02:25,520 --> 00:02:28,600 Speaker 1: making a few hundred thousand years an operator of that store. 41 00:02:28,600 --> 00:02:31,760 Speaker 1: At the same time, Sears gets to monetize its inventory 42 00:02:31,800 --> 00:02:35,040 Speaker 1: and invest in other more profitable activities rather than retailing. 43 00:02:35,200 --> 00:02:39,680 Speaker 1: Has Sears ever focused on online retailing in the way 44 00:02:39,720 --> 00:02:42,679 Speaker 1: that Walmart says they want to focus on online retailing. 45 00:02:43,080 --> 00:02:47,800 Speaker 1: That's the big opportunity that you're referencing as Sears is 46 00:02:47,880 --> 00:02:51,120 Speaker 1: their online but not near where they need to be. 47 00:02:51,240 --> 00:02:53,720 Speaker 1: And what we saw on our store checks across the 48 00:02:53,760 --> 00:02:59,160 Speaker 1: country from the Carolinas to California is Sears has tremendous 49 00:02:59,280 --> 00:03:04,000 Speaker 1: quality of pair, particularly in lands and so the UH finishings, 50 00:03:04,160 --> 00:03:08,239 Speaker 1: the fifth the fabric, the quality, the value, the color palette. 51 00:03:08,639 --> 00:03:12,840 Speaker 1: UH clearly eclipses Target, UM is on par with Coles 52 00:03:12,880 --> 00:03:16,919 Speaker 1: and the bonton the other moderate UH department store chains. 53 00:03:17,120 --> 00:03:19,480 Speaker 1: But Sears can't get the customer count in. So you 54 00:03:19,520 --> 00:03:21,959 Speaker 1: really have to go back and retail history. And we're 55 00:03:22,000 --> 00:03:27,120 Speaker 1: both retail historians. Is Arthur C. Martinez, CEO of Sacks, 56 00:03:27,160 --> 00:03:31,120 Speaker 1: fith aving Oh, Bob Mettler, president of Robinson May They 57 00:03:31,160 --> 00:03:34,520 Speaker 1: go in with Peter Gerjeski of Young and Rubicam creates 58 00:03:34,560 --> 00:03:37,840 Speaker 1: softer side of Sears and get people coming in to 59 00:03:37,920 --> 00:03:40,800 Speaker 1: buy apparel. The margins are two to three times higher. 60 00:03:41,200 --> 00:03:44,920 Speaker 1: UH Sears wins financially. Metler and Martinez save Sears the 61 00:03:44,960 --> 00:03:47,920 Speaker 1: first time twenty years ago. Lambert to his credits, hired 62 00:03:47,960 --> 00:03:49,800 Speaker 1: a lot of good people. If you could get the 63 00:03:49,840 --> 00:03:52,920 Speaker 1: customers to give him one last chance, and with a 64 00:03:53,000 --> 00:03:56,000 Speaker 1: twenty million dollar secure letter of credit that can go 65 00:03:56,080 --> 00:03:59,120 Speaker 1: to UH two hundred million, that can go to three 66 00:03:59,200 --> 00:04:02,000 Speaker 1: hundred million, this might be the one last chance for 67 00:04:02,120 --> 00:04:05,440 Speaker 1: Sears in twenty seventeen, but it's Larry served from F 68 00:04:05,560 --> 00:04:08,240 Speaker 1: and D and credit until said, if Sears doesn't do 69 00:04:08,280 --> 00:04:11,160 Speaker 1: it this time, they gotta start selling the catch registers 70 00:04:11,160 --> 00:04:13,360 Speaker 1: and cleaning out the cash drawers. All right, let's get 71 00:04:13,360 --> 00:04:15,160 Speaker 1: through a couple of other retailers, because we don't. I 72 00:04:15,520 --> 00:04:18,440 Speaker 1: always want to get your expertise, Neiman Marcus Group burged 73 00:04:18,440 --> 00:04:22,040 Speaker 1: off Goodman, what's going on there? Uh pim the bonds 74 00:04:22,080 --> 00:04:24,880 Speaker 1: are really struggling. The same f D report Credit and 75 00:04:24,960 --> 00:04:27,960 Speaker 1: tell the bonds of trade of the mid seventies are lower. 76 00:04:28,279 --> 00:04:31,360 Speaker 1: So while Sears is trading a triple C plus uh 77 00:04:31,440 --> 00:04:34,320 Speaker 1: Neiman Marcus Burg Doors trading at triple C. And with 78 00:04:34,720 --> 00:04:38,000 Speaker 1: the Trump New York White House, it's really tough to 79 00:04:38,040 --> 00:04:40,760 Speaker 1: get into two of their most profitable stores, Burg Doors 80 00:04:40,760 --> 00:04:44,880 Speaker 1: Men's and Women's on uh fifth Avenue, so that that's 81 00:04:45,200 --> 00:04:49,040 Speaker 1: really problematic, especially after losing almost half a billion dollars 82 00:04:49,040 --> 00:04:52,360 Speaker 1: in the third quarter. Tell us about Jake Crew, Jay Crew, 83 00:04:52,480 --> 00:04:57,120 Speaker 1: uh fall Uh, It's it's gonna be tough. They went 84 00:04:57,160 --> 00:04:59,680 Speaker 1: from the penthouse to the basement and just a few 85 00:04:59,760 --> 00:05:03,799 Speaker 1: years has probably got enamored with beach houses. The qualities 86 00:05:03,880 --> 00:05:06,880 Speaker 1: uneven in the stores, the inventory is wrong, the color 87 00:05:06,960 --> 00:05:11,240 Speaker 1: pellette of what's selling isn't always right in stock. But 88 00:05:11,360 --> 00:05:15,040 Speaker 1: never bet against Mickey Drexler seminal genius of design and 89 00:05:15,080 --> 00:05:19,120 Speaker 1: retail uh and say same with Gena Lyons. So we're 90 00:05:19,120 --> 00:05:22,599 Speaker 1: hoping they come back, but they've dug themselves a big hole. 91 00:05:22,680 --> 00:05:25,119 Speaker 1: So it really depends on the vendors there as well. 92 00:05:25,160 --> 00:05:28,760 Speaker 1: But nine nine percent of the vendors supported Sears. Hopefully 93 00:05:28,800 --> 00:05:32,320 Speaker 1: they'll support j Crew and niemen Bergdorf to the tell 94 00:05:32,320 --> 00:05:34,279 Speaker 1: me about what's going on with J C. Penny is 95 00:05:34,279 --> 00:05:37,360 Speaker 1: that to turnaround that's working. It's a turnaround that's working 96 00:05:37,400 --> 00:05:41,040 Speaker 1: because they threw out Bill Ackman and as proverbial carpet 97 00:05:41,040 --> 00:05:44,040 Speaker 1: baggers from Pershing Square that didn't know the detail and 98 00:05:44,120 --> 00:05:47,360 Speaker 1: rhythm and retail left Penny on death store step another 99 00:05:47,440 --> 00:05:51,160 Speaker 1: sex along Steve said Off X CEO comes in, teams 100 00:05:51,240 --> 00:05:54,400 Speaker 1: up with Mike Aullman. They created dream team around Marvin 101 00:05:54,440 --> 00:05:58,160 Speaker 1: Ellison who got trained by one of the other seminal 102 00:05:58,200 --> 00:06:03,840 Speaker 1: geniuses of retail, Frank Blake, and Penny UH partnership with Sephora. 103 00:06:03,920 --> 00:06:08,320 Speaker 1: They've got five more stores to do for perspective. Sephora 104 00:06:08,320 --> 00:06:11,480 Speaker 1: on the Chansa Liz attracts as many visitors in Paris 105 00:06:11,600 --> 00:06:14,040 Speaker 1: is the Eiffel Tower and the Eiffel Tower as longer 106 00:06:14,040 --> 00:06:18,360 Speaker 1: hours co exclusive with with Disney, Penny dot COM's building 107 00:06:18,400 --> 00:06:21,839 Speaker 1: Penny Homes Building. So Penny is a big comeback as 108 00:06:21,920 --> 00:06:24,520 Speaker 1: his toys or us and both of them were left 109 00:06:24,560 --> 00:06:27,520 Speaker 1: for dead, both the bonds UH and the credit ratings 110 00:06:27,560 --> 00:06:29,479 Speaker 1: just a few years ago. And it's it's great to 111 00:06:29,480 --> 00:06:33,080 Speaker 1: see those Rocky Bellboll type comeback stories. Marvin Ellison at 112 00:06:33,160 --> 00:06:35,200 Speaker 1: j C. Penny doing the job. Stock is up more 113 00:06:36,279 --> 00:06:39,880 Speaker 1: this year. Marvin Ellison's the Rocky Bellball of retail retail 114 00:06:40,279 --> 00:06:44,720 Speaker 1: uh or or the Bob townsendavas Uh we we try 115 00:06:44,800 --> 00:06:46,919 Speaker 1: harder and the win. I want that. Maybe, you know, 116 00:06:46,920 --> 00:06:48,520 Speaker 1: maybe you can print that as a banner for the 117 00:06:48,680 --> 00:06:50,560 Speaker 1: for the new year. Tell me about what's going on 118 00:06:50,600 --> 00:06:53,240 Speaker 1: now at the Macy's because of course that is a 119 00:06:53,240 --> 00:07:00,400 Speaker 1: continuing story, Macy's continuing story UH closing hundred stores, the 120 00:07:00,920 --> 00:07:05,400 Speaker 1: Macy's International and Macy's Bloomingdale looks like it has high potential. UH. 121 00:07:05,560 --> 00:07:09,560 Speaker 1: Macy's has more fashion resources. Bloomingdale seems to be hitting 122 00:07:09,560 --> 00:07:13,080 Speaker 1: on all cylinders. Is we were going through North From stores, 123 00:07:13,120 --> 00:07:16,240 Speaker 1: they seemed to be having a struggle with their associate 124 00:07:16,320 --> 00:07:19,480 Speaker 1: shifting sales, particularly in the Shoot apartment to North from 125 00:07:19,520 --> 00:07:22,720 Speaker 1: dot Com, so the commission sales people got less money 126 00:07:22,760 --> 00:07:25,440 Speaker 1: they were interviewing at Bloomingdale's. We saw the same thing 127 00:07:25,520 --> 00:07:30,280 Speaker 1: at the Neiman Marcus stores in Chicago, UH, California and elsewhere. 128 00:07:30,320 --> 00:07:34,200 Speaker 1: So so it seems like Bloomingdale's and Macy's is recruiting 129 00:07:34,240 --> 00:07:36,960 Speaker 1: the best of the brightest in a shrinking sector and 130 00:07:37,040 --> 00:07:40,520 Speaker 1: ultimately Macy's Bloomingdale's is the consolidator in the winter. All Right, 131 00:07:40,560 --> 00:07:43,360 Speaker 1: Well that's Terry Lundgren at Macy's that shares a Macy's 132 00:07:43,440 --> 00:07:46,280 Speaker 1: up about four percent this year with Jeff Janetta and 133 00:07:46,360 --> 00:07:50,560 Speaker 1: Karen Hoga. Very good leaders, quick ten seconds, Kate Spade, 134 00:07:50,560 --> 00:07:53,400 Speaker 1: get bought or not bought. We'll get bought. It's selling 135 00:07:53,400 --> 00:07:56,440 Speaker 1: in Paris, it's selling in Pasadena, California, in every place 136 00:07:56,480 --> 00:07:59,000 Speaker 1: in between. People love the brand. Thanks very much, We 137 00:07:59,040 --> 00:08:03,960 Speaker 1: love you. Thanks a lot. Managing Director, Strategic Resource Group, 138 00:08:04,360 --> 00:08:20,320 Speaker 1: talking about all things retail, Washington, d C. On January 139 00:08:20,400 --> 00:08:23,600 Speaker 1: the twenty one. Well, that will be a day after 140 00:08:23,720 --> 00:08:27,920 Speaker 1: the inauguration. What will the district leaders wake up to? 141 00:08:28,280 --> 00:08:30,320 Speaker 1: Here to tell us more is David Howell. He is 142 00:08:30,360 --> 00:08:35,040 Speaker 1: the executive vice president and chief information officer for mcinnerney Associates, 143 00:08:35,080 --> 00:08:38,560 Speaker 1: based of course in Washington, d C, which is home 144 00:08:38,600 --> 00:08:41,520 Speaker 1: to Bloomberg one and one oh five point seven h 145 00:08:41,720 --> 00:08:45,679 Speaker 1: D two. David Howell, thank you for being with us. 146 00:08:45,679 --> 00:08:48,120 Speaker 1: Thank you. You are a veteran of the real estate 147 00:08:48,480 --> 00:08:51,520 Speaker 1: industry in the district and in the region, and I 148 00:08:51,559 --> 00:08:53,640 Speaker 1: wonder if you could describe for people that are not 149 00:08:53,880 --> 00:08:57,120 Speaker 1: familiar with it, what is the biggest mistake we all 150 00:08:57,200 --> 00:09:02,440 Speaker 1: make about new administrations coming to Washington. Well, I think 151 00:09:02,440 --> 00:09:06,440 Speaker 1: there's a general um misperception that there's this avalanche of 152 00:09:06,440 --> 00:09:08,600 Speaker 1: new people that come to town that provide a huge 153 00:09:08,600 --> 00:09:11,120 Speaker 1: shot in the arm for our real estate market. UM, 154 00:09:11,280 --> 00:09:13,600 Speaker 1: And that historically has not been the case. We don't 155 00:09:13,600 --> 00:09:15,439 Speaker 1: think it will be the case this time. Either. It 156 00:09:15,480 --> 00:09:17,280 Speaker 1: will be a boost, but it's not a it's not 157 00:09:17,360 --> 00:09:19,680 Speaker 1: a boom, and it's not a boom because just the 158 00:09:19,760 --> 00:09:23,400 Speaker 1: numbers of people that will turn over in the new administration, 159 00:09:23,559 --> 00:09:25,720 Speaker 1: they're not necessarily going to have the money to buy 160 00:09:25,760 --> 00:09:29,400 Speaker 1: new homes. Absolutely. You know, there's roughly four thousand presidentially 161 00:09:29,440 --> 00:09:32,080 Speaker 1: appointed jobs, um. And first of all, they don't all 162 00:09:32,120 --> 00:09:34,679 Speaker 1: happen on day one. It can take as long as 163 00:09:34,679 --> 00:09:37,640 Speaker 1: twelve and eighteen months to fill all those positions. Our 164 00:09:37,679 --> 00:09:41,599 Speaker 1: experience shows, and even thus far with the new Trump administration, 165 00:09:42,160 --> 00:09:44,440 Speaker 1: roughly half the people that will fill those jobs already 166 00:09:44,480 --> 00:09:47,160 Speaker 1: live in the Washington area, and roughly half the ones 167 00:09:47,200 --> 00:09:49,199 Speaker 1: that are coming from out of town are going to 168 00:09:49,320 --> 00:09:52,719 Speaker 1: rent rather than buy. So every sale is a welcome one. 169 00:09:52,840 --> 00:09:56,040 Speaker 1: We we treasure every transaction, UM, but it's generally not 170 00:09:56,160 --> 00:09:59,320 Speaker 1: enough to move the needle in a major way. Fifty 171 00:10:00,040 --> 00:10:04,920 Speaker 1: homes are sold annually in the metro DC area, and 172 00:10:04,960 --> 00:10:07,360 Speaker 1: you've got a population of anywhere from six hundred and 173 00:10:07,480 --> 00:10:10,880 Speaker 1: eighty thousand, and then it swells well over a million 174 00:10:11,920 --> 00:10:14,240 Speaker 1: every day when commuters come in. Tell us some of 175 00:10:14,280 --> 00:10:18,000 Speaker 1: the areas of Washington, d C. That you see are 176 00:10:18,080 --> 00:10:24,800 Speaker 1: thriving and improving, albeit without the effects of a new administration. Sure, 177 00:10:24,880 --> 00:10:28,040 Speaker 1: the district itself, that market has been incredibly hot, where 178 00:10:28,040 --> 00:10:30,440 Speaker 1: the suburban markets have not been quite as hot. So 179 00:10:30,520 --> 00:10:34,880 Speaker 1: the immediate surrounding counties, UM, in cities City of Alexandria, Arlington, Fairfax, 180 00:10:34,920 --> 00:10:38,760 Speaker 1: Montgomery County, in Maryland, Prince George's County, they're all doing 181 00:10:38,840 --> 00:10:41,600 Speaker 1: fairly well, but nowhere near as hot as the district. 182 00:10:41,679 --> 00:10:43,680 Speaker 1: The district's been our hot at market for the last 183 00:10:43,679 --> 00:10:47,960 Speaker 1: several years. UM. Why is that? UM? I think first 184 00:10:47,960 --> 00:10:50,000 Speaker 1: of all, the district's done a very good job in 185 00:10:50,480 --> 00:10:54,880 Speaker 1: UM sort of reorienting themselves to be more attractive to businesses. 186 00:10:55,280 --> 00:10:58,840 Speaker 1: Are like most other major cities, UM, we have enormous 187 00:10:58,880 --> 00:11:01,520 Speaker 1: traffic issues, and I think people are making quality of 188 00:11:01,559 --> 00:11:04,320 Speaker 1: life decisions that they want to live closer to where 189 00:11:04,320 --> 00:11:07,119 Speaker 1: they work and not have to deal with the enormous 190 00:11:07,320 --> 00:11:10,480 Speaker 1: commutes that sometimes suburban drivers and commuters have to deal 191 00:11:10,520 --> 00:11:13,439 Speaker 1: with UM and the district has just become a very 192 00:11:13,520 --> 00:11:16,600 Speaker 1: hip cool place to be, a hip cool place to be. 193 00:11:17,000 --> 00:11:20,079 Speaker 1: But you say that new construction is not keeping up 194 00:11:20,200 --> 00:11:24,280 Speaker 1: with household formation. Why not? Well, first of all, we've 195 00:11:24,320 --> 00:11:27,360 Speaker 1: got a lack of land UM. Like again most of 196 00:11:27,360 --> 00:11:30,920 Speaker 1: the major urban areas, UM is just tougher to find 197 00:11:30,920 --> 00:11:35,400 Speaker 1: places to build UM, and it's it's a challenge to 198 00:11:35,520 --> 00:11:39,240 Speaker 1: get developments through. All the jurisdictions have fairly long development 199 00:11:39,280 --> 00:11:42,120 Speaker 1: processes to go through. And based on the studies that 200 00:11:42,160 --> 00:11:45,800 Speaker 1: we read, UM, there's roughly a shortfall of fifty thousand 201 00:11:46,559 --> 00:11:50,679 Speaker 1: household units UM to keep up with household formation over 202 00:11:50,720 --> 00:11:54,199 Speaker 1: the next five years. So that contributes done ongoing shortage 203 00:11:54,200 --> 00:11:56,760 Speaker 1: of supply, particularly acute in the district. All right, so 204 00:11:56,800 --> 00:12:00,360 Speaker 1: you've got tight inventories. Talk about the expansion of public 205 00:12:00,360 --> 00:12:05,800 Speaker 1: transport and the rehabilitation of public transport in the district. Well, 206 00:12:05,880 --> 00:12:09,120 Speaker 1: it's it's hugely important in our metropolitan area UM, and 207 00:12:09,240 --> 00:12:11,360 Speaker 1: as some of your listeners may have heard, our metro 208 00:12:11,480 --> 00:12:16,880 Speaker 1: system has had some challenges of late, being diplomatic, which 209 00:12:16,920 --> 00:12:21,240 Speaker 1: is appropriate for being in Washington. UM. We've and so 210 00:12:21,480 --> 00:12:24,559 Speaker 1: Metro has kind of got to get get its act together. UM. 211 00:12:24,600 --> 00:12:26,800 Speaker 1: But frankly, I think one of the interesting things we've 212 00:12:26,800 --> 00:12:28,600 Speaker 1: seen it was tinging our agents a couple of weeks 213 00:12:28,640 --> 00:12:31,640 Speaker 1: ago with the safe track issues UM, and those are 214 00:12:31,800 --> 00:12:34,920 Speaker 1: the taking lines down for a period of time where 215 00:12:34,920 --> 00:12:38,319 Speaker 1: they're having to do extended maintenance. People are changing how 216 00:12:38,360 --> 00:12:40,760 Speaker 1: they're commuting UM. One of our agents was saying that 217 00:12:40,800 --> 00:12:43,240 Speaker 1: a lot of her clients have actually just switched to 218 00:12:43,360 --> 00:12:47,360 Speaker 1: Uber because it's more convenient. And when Metro is back 219 00:12:47,720 --> 00:12:50,760 Speaker 1: in its rightful place, UM, they may have a bit 220 00:12:50,760 --> 00:12:53,040 Speaker 1: of a battle getting some of those writers back. As 221 00:12:53,040 --> 00:12:56,840 Speaker 1: they say, necessity the mother of invention. Tell us about 222 00:12:56,880 --> 00:13:00,160 Speaker 1: interest rate increases, what I really have a change on 223 00:13:00,160 --> 00:13:03,200 Speaker 1: on whether people buy or don't buy in the area. 224 00:13:03,720 --> 00:13:05,840 Speaker 1: It certainly does have some impact, you know, with the 225 00:13:06,000 --> 00:13:08,120 Speaker 1: with the rate increase of roughly a half a percent 226 00:13:08,640 --> 00:13:11,439 Speaker 1: over the last six weeks or so, that's taken about 227 00:13:11,559 --> 00:13:14,960 Speaker 1: six percent of buying power away from prospective purchasers. And 228 00:13:15,000 --> 00:13:18,360 Speaker 1: that's certainly UM is a factor. But we've also learned 229 00:13:18,400 --> 00:13:21,720 Speaker 1: that interest rates are a factor and whether someone buys 230 00:13:21,720 --> 00:13:24,439 Speaker 1: a home, they're not the factor by any means. When 231 00:13:24,440 --> 00:13:26,880 Speaker 1: our company started over thirty years ago interest rates for 232 00:13:28,040 --> 00:13:31,320 Speaker 1: people still bought and sold home, so it's it's not 233 00:13:31,559 --> 00:13:34,360 Speaker 1: just that number, but there's no doubt that on the 234 00:13:34,400 --> 00:13:37,120 Speaker 1: short term it has both a real and a psychological 235 00:13:37,120 --> 00:13:39,840 Speaker 1: impact when you lose that buying power and you see 236 00:13:39,920 --> 00:13:42,600 Speaker 1: rates ticking up. UM. One of the things it does 237 00:13:42,640 --> 00:13:44,839 Speaker 1: is it gets some fence sitters off the fence and 238 00:13:44,960 --> 00:13:47,600 Speaker 1: into the market before they feel like they can get 239 00:13:47,640 --> 00:13:49,720 Speaker 1: priced out of the market because rates are too high. 240 00:13:50,360 --> 00:13:53,200 Speaker 1: But because we've had rates low for such a long 241 00:13:53,200 --> 00:13:56,520 Speaker 1: period of time, we don't really know where the psychological 242 00:13:56,559 --> 00:13:59,360 Speaker 1: wall is. UM. If it's five percent, five and a 243 00:13:59,360 --> 00:14:01,720 Speaker 1: half percent of rates get that high, if buyers finally 244 00:14:01,720 --> 00:14:05,199 Speaker 1: really get discouraged. But right now, let's face at four 245 00:14:05,240 --> 00:14:07,079 Speaker 1: person interest rates, which is where they are right now, 246 00:14:07,360 --> 00:14:10,760 Speaker 1: is still from an historical perspective, very low and very attractive. 247 00:14:11,080 --> 00:14:14,520 Speaker 1: Thanks very much, David Howe, Executive vice president, chief information 248 00:14:14,559 --> 00:14:31,400 Speaker 1: Officer McNerney Associates. Sixteen the year marks the beginning of 249 00:14:31,480 --> 00:14:34,600 Speaker 1: the end of hedge funds as we've known them, so 250 00:14:34,760 --> 00:14:37,880 Speaker 1: writes Katherine Burton. Cathy Burton is our hedge fund reporter 251 00:14:38,000 --> 00:14:40,880 Speaker 1: joins us Now for Bloomberg News. Kathy Burton, thank you 252 00:14:40,960 --> 00:14:43,160 Speaker 1: very much for being with us. You're welcome. So tell 253 00:14:43,240 --> 00:14:47,960 Speaker 1: me about agonists. This is really from Milton. It means 254 00:14:48,000 --> 00:14:52,120 Speaker 1: it's about Samson wrestling with adversity and trouble. You say, now, 255 00:14:52,360 --> 00:14:56,840 Speaker 1: the title of your report is hedge fund Agonists. What's 256 00:14:56,840 --> 00:14:59,160 Speaker 1: going on in the hedge fund world? Well, the hedge 257 00:14:59,160 --> 00:15:03,680 Speaker 1: fund world is finally or investors are finally realizing that 258 00:15:03,800 --> 00:15:08,280 Speaker 1: they shouldn't be paying managers to in the normal two 259 00:15:08,320 --> 00:15:12,160 Speaker 1: and twenty as it's known. Uh. Basically, the managers get 260 00:15:12,280 --> 00:15:15,000 Speaker 1: rich off the management fees even if they don't make 261 00:15:15,040 --> 00:15:17,560 Speaker 1: money for their investors, which they haven't been doing for 262 00:15:19,160 --> 00:15:22,720 Speaker 1: several years now. Is that why the theme, at least 263 00:15:22,800 --> 00:15:27,480 Speaker 1: for Robert Mercer's The Hedge Fund Titan Robert Mercer the 264 00:15:27,480 --> 00:15:31,120 Speaker 1: theme for his holiday costume party was villains and Heroes. No, 265 00:15:31,400 --> 00:15:36,840 Speaker 1: I think that's more of a political uh uh, political comment. 266 00:15:37,360 --> 00:15:41,440 Speaker 1: But he's one of the managers who's actually managed to 267 00:15:41,520 --> 00:15:44,480 Speaker 1: make money all these years, all right, So if he's 268 00:15:44,520 --> 00:15:47,280 Speaker 1: managed to make money, then isn't it just a natural 269 00:15:47,560 --> 00:15:51,200 Speaker 1: selection in which those that don't won't have customers, and 270 00:15:51,240 --> 00:15:53,720 Speaker 1: those that do, we'll have customers that are willing to 271 00:15:53,720 --> 00:15:57,000 Speaker 1: pay the fees or not really No, that's exactly what's 272 00:15:57,000 --> 00:16:01,120 Speaker 1: happening now. We're seeing a many more closures UM then 273 00:16:01,160 --> 00:16:04,080 Speaker 1: we have in the past. UH. This year looks to 274 00:16:04,080 --> 00:16:07,440 Speaker 1: be on track to have the most closure since that's 275 00:16:07,480 --> 00:16:12,880 Speaker 1: an innate financial crisis, and people expect to UH, people 276 00:16:12,920 --> 00:16:15,600 Speaker 1: expect that the industry could be cut by as much 277 00:16:15,640 --> 00:16:18,760 Speaker 1: as a quarter over the next year, as much as 278 00:16:18,800 --> 00:16:21,440 Speaker 1: a quarter. What what takes? What took the investors so 279 00:16:21,840 --> 00:16:23,840 Speaker 1: so such a long time to actually do the math 280 00:16:23,920 --> 00:16:27,000 Speaker 1: and and discover that they weren't making the money they 281 00:16:27,000 --> 00:16:30,600 Speaker 1: thought they were. I think what happened is that a 282 00:16:30,640 --> 00:16:33,680 Speaker 1: lot of the money that came in came from pension funds, 283 00:16:33,760 --> 00:16:38,200 Speaker 1: and they didn't start investing until relatively recently. So they 284 00:16:38,800 --> 00:16:41,640 Speaker 1: and they're very slow moving, So they sort of started 285 00:16:41,680 --> 00:16:45,440 Speaker 1: to invest just as returns overall started to fall, and 286 00:16:45,440 --> 00:16:48,680 Speaker 1: so it probably took them five or so years to 287 00:16:48,880 --> 00:16:51,240 Speaker 1: get into the program, to figure out it didn't work, 288 00:16:51,280 --> 00:16:53,840 Speaker 1: and then to get out. That's what's happening now. Well, 289 00:16:53,840 --> 00:16:57,360 Speaker 1: you document that public retirement plans in Kentucky, New York, 290 00:16:57,400 --> 00:17:00,320 Speaker 1: New Jersey, Rhode Island, they pulled the plug. They pulled 291 00:17:00,320 --> 00:17:04,200 Speaker 1: money rather from hedge funds, as did the State University 292 00:17:04,240 --> 00:17:08,199 Speaker 1: in Maryland and other endowments. That's correct, and there are 293 00:17:08,200 --> 00:17:11,360 Speaker 1: other people that are. If they're not cutting their allocations 294 00:17:11,359 --> 00:17:14,480 Speaker 1: the hedge funds, they're definitely cutting the number of managers 295 00:17:14,520 --> 00:17:17,480 Speaker 1: they use. The University of California is doing that, and 296 00:17:17,520 --> 00:17:20,040 Speaker 1: they may also end up cutting their exposure as well 297 00:17:20,600 --> 00:17:24,640 Speaker 1: if they continue this trend. What kinds of hedge funds 298 00:17:24,720 --> 00:17:27,320 Speaker 1: will be left? Just those that perform well in the 299 00:17:27,359 --> 00:17:32,160 Speaker 1: past or have a track record that is measurable in decades. Yes, 300 00:17:32,280 --> 00:17:35,679 Speaker 1: and I think that it's going to be uh the 301 00:17:35,760 --> 00:17:38,720 Speaker 1: smaller funds to a lot of them that are more nimble, 302 00:17:38,800 --> 00:17:41,560 Speaker 1: that are able to make money. Uh. A lot of 303 00:17:41,600 --> 00:17:45,240 Speaker 1: the funds that used to be good are their return 304 00:17:45,359 --> 00:17:51,200 Speaker 1: suffered as they added assets. Now those assets also translated, 305 00:17:51,240 --> 00:17:54,720 Speaker 1: as you described, into fees, and those fees translated into 306 00:17:54,760 --> 00:17:58,400 Speaker 1: things such as higher real estate prices in New York 307 00:17:58,480 --> 00:18:05,720 Speaker 1: City's condos and a sky. That's absolutely correct. Um, the 308 00:18:05,840 --> 00:18:09,640 Speaker 1: number of billionaires on the FORBS four hundred has grown 309 00:18:10,240 --> 00:18:13,000 Speaker 1: a lot amongst the hedge fund set, and those people 310 00:18:13,080 --> 00:18:16,919 Speaker 1: have UM certainly driven up prices of real estate in 311 00:18:17,000 --> 00:18:21,640 Speaker 1: certain buildings and UH, certain art. Yeah. Well, you give 312 00:18:21,640 --> 00:18:25,440 Speaker 1: the example. In two thousand and six, a leven hedge 313 00:18:25,440 --> 00:18:30,000 Speaker 1: fund managers were in the Forbes four hundred. Fast forward 314 00:18:30,040 --> 00:18:36,600 Speaker 1: ten years, that number climbs to twenty seven. Right. So, 315 00:18:37,480 --> 00:18:41,800 Speaker 1: and is it as much a public relations disaster for 316 00:18:41,840 --> 00:18:46,359 Speaker 1: the hedge fund industry as it is a performance issue? Yes, 317 00:18:46,760 --> 00:18:50,119 Speaker 1: that is true because people got tired, especially in the 318 00:18:50,160 --> 00:18:56,280 Speaker 1: public pension sounds where there's unions and uh, teachers and firemen, 319 00:18:56,400 --> 00:18:58,840 Speaker 1: and they don't like to see these guys spending a 320 00:18:58,920 --> 00:19:02,680 Speaker 1: lot of money and their conspicuous consumption um when they're 321 00:19:02,720 --> 00:19:04,960 Speaker 1: not getting much in the way of returns. So they're 322 00:19:04,960 --> 00:19:09,760 Speaker 1: actually connecting the personal behavior of the hedge fund manager 323 00:19:10,359 --> 00:19:13,399 Speaker 1: with the returns that they see when they're just looking 324 00:19:13,400 --> 00:19:18,360 Speaker 1: for an increase in the amount of money they make. Exactly. Yeah. Now, 325 00:19:18,560 --> 00:19:21,320 Speaker 1: just to follow up on these apartments, these trophy real 326 00:19:21,400 --> 00:19:23,240 Speaker 1: estate investments, I wonder if you could just tell us 327 00:19:23,280 --> 00:19:28,280 Speaker 1: about Steve Cohen, who is now running his own family office. 328 00:19:28,760 --> 00:19:32,600 Speaker 1: Just described because he's he's not a dumb bunny. What 329 00:19:32,720 --> 00:19:36,520 Speaker 1: he bought what nine thousand square foot duplex at one 330 00:19:36,560 --> 00:19:40,359 Speaker 1: Beacon Court, that's correct. I think he paid about twenty 331 00:19:40,400 --> 00:19:42,679 Speaker 1: million dollars for it, So even if he sells it 332 00:19:42,720 --> 00:19:47,639 Speaker 1: at the highly reduced UH price of sixty seven million, 333 00:19:47,720 --> 00:19:49,840 Speaker 1: he'll still be making a lot of money. But at 334 00:19:49,840 --> 00:19:51,639 Speaker 1: one point he thought he could get a hundred and 335 00:19:51,680 --> 00:19:55,240 Speaker 1: fifteen million dollars for that apartment. But now I guess 336 00:19:55,440 --> 00:19:57,760 Speaker 1: it's a bargain at sixties sixty seven and a half 337 00:19:57,840 --> 00:20:00,439 Speaker 1: million exactly. So still make a huge off it, but 338 00:20:00,520 --> 00:20:02,240 Speaker 1: not quite as much as he thought he was going 339 00:20:02,320 --> 00:20:04,439 Speaker 1: to make. Just give you about ten seconds. Are there 340 00:20:04,440 --> 00:20:07,120 Speaker 1: any hedge funds that are that are combating this whole 341 00:20:07,160 --> 00:20:10,440 Speaker 1: issue and getting ahead of the game. Uh, certainly, some 342 00:20:10,600 --> 00:20:15,080 Speaker 1: of the quantitative guys are raising money um and people 343 00:20:15,080 --> 00:20:19,159 Speaker 1: like Renaissance Technologies is still putting up huge returns, although 344 00:20:19,160 --> 00:20:21,240 Speaker 1: they don't take a lot in the way that's hoide money. 345 00:20:21,280 --> 00:20:24,679 Speaker 1: But thanks very much. Cathy Burton, our hedge fund reporter 346 00:20:24,760 --> 00:20:28,320 Speaker 1: for Bloomberg News. You can follow her on Twitter at 347 00:20:28,600 --> 00:20:44,480 Speaker 1: Burton Cathy. What to do with your money in ten 348 00:20:44,600 --> 00:20:47,720 Speaker 1: Perhaps nothing, but maybe not. Maybe the dog of the 349 00:20:47,800 --> 00:20:50,320 Speaker 1: Dow theory is the way to go. Let's find out 350 00:20:50,320 --> 00:20:53,280 Speaker 1: from jug Doug Cioca. He is the chief executive officer 351 00:20:53,359 --> 00:20:56,680 Speaker 1: and partner at Cavar Capital Partners, helping to manage a 352 00:20:56,680 --> 00:20:58,680 Speaker 1: little bit more than half a billion dollars. He's based 353 00:20:58,680 --> 00:21:02,199 Speaker 1: in Leawood, Kansas. Doug great to always speak with you, um, 354 00:21:02,520 --> 00:21:05,040 Speaker 1: dogs of the Dow. Why don't we start there because 355 00:21:05,040 --> 00:21:09,200 Speaker 1: that may highlight why the Dow Jones Industrial Average is 356 00:21:09,400 --> 00:21:13,679 Speaker 1: up nearly four this year while the SMP is up 357 00:21:13,680 --> 00:21:17,720 Speaker 1: a little bit more than Yeah, PIM, thanks for having 358 00:21:17,720 --> 00:21:20,120 Speaker 1: me on a happy new year, and I think it's 359 00:21:20,119 --> 00:21:22,240 Speaker 1: been interesting. There seems to be a lot of tax 360 00:21:22,320 --> 00:21:24,840 Speaker 1: loss selling that's taking place in certain sectors of the 361 00:21:24,880 --> 00:21:27,359 Speaker 1: Dow in the SMP. But you know, whether it's in 362 00:21:27,480 --> 00:21:31,159 Speaker 1: staples or healthcare and what we are calling the trailblazers 363 00:21:31,160 --> 00:21:34,320 Speaker 1: of this changing face of retail, right, those companies that 364 00:21:34,359 --> 00:21:37,800 Speaker 1: focus on direct to consumer as opposed to same store sales. 365 00:21:38,440 --> 00:21:41,920 Speaker 1: Seems like some paradigm shifting has caused a little bit 366 00:21:41,960 --> 00:21:46,399 Speaker 1: of consternation in certain sectors that um, we think offer 367 00:21:46,480 --> 00:21:49,480 Speaker 1: some pretty good opportunity going into next year. Right, So 368 00:21:49,560 --> 00:21:53,119 Speaker 1: much of what we're trying to determine from an asset 369 00:21:53,119 --> 00:21:56,560 Speaker 1: allocation perspective is, you know what areas of the stock 370 00:21:56,600 --> 00:22:01,760 Speaker 1: market have pulled forward the prospects of economic and earnings 371 00:22:01,760 --> 00:22:04,880 Speaker 1: per share improvement ahead of it actually materializing it. Can 372 00:22:04,880 --> 00:22:07,080 Speaker 1: you give us some details thats hows some industry goose 373 00:22:07,119 --> 00:22:12,440 Speaker 1: particularly I know industrial stocks, well, industrial stocks, financials, and 374 00:22:12,280 --> 00:22:15,600 Speaker 1: and and energy post election have been on a parabolic 375 00:22:16,320 --> 00:22:19,520 Speaker 1: UH scream higher, which is great. And I think that 376 00:22:19,600 --> 00:22:24,119 Speaker 1: it is embedding some optimism that was dormant for a 377 00:22:24,160 --> 00:22:27,000 Speaker 1: period of several years. And you know, whether it's because 378 00:22:27,119 --> 00:22:28,880 Speaker 1: that the set is going to have the green light 379 00:22:28,960 --> 00:22:31,679 Speaker 1: and be buttressed by underlying economic growth that it feels 380 00:22:31,680 --> 00:22:34,840 Speaker 1: that it can raise rates progressively and that's a very 381 00:22:34,880 --> 00:22:39,560 Speaker 1: positive immediate impact for profitability of banks. Whether this functional 382 00:22:39,600 --> 00:22:42,880 Speaker 1: fiscal policy that we're hopeful will make its way through 383 00:22:42,880 --> 00:22:46,040 Speaker 1: the legislative process is going to be great for industrial 384 00:22:46,640 --> 00:22:50,920 Speaker 1: companies that have seen a pretty significant ebb in their 385 00:22:51,000 --> 00:22:54,680 Speaker 1: order flow um or whether it's it's the energy stocks 386 00:22:54,720 --> 00:22:58,600 Speaker 1: that now feel like, okay, shoot the US, let's join OPEC. 387 00:22:58,760 --> 00:23:01,719 Speaker 1: I mean, we've got enough natural gas, we've got enough energy. 388 00:23:02,080 --> 00:23:04,520 Speaker 1: If if a mom had had hit and poined himself 389 00:23:04,560 --> 00:23:08,480 Speaker 1: the energy president and we've had all these discoveries, can 390 00:23:08,480 --> 00:23:11,480 Speaker 1: Trump then get it effectively transported through pipelines where it 391 00:23:11,480 --> 00:23:13,840 Speaker 1: can actually make a material improvement in the economy and 392 00:23:14,160 --> 00:23:16,679 Speaker 1: bring back the whole manufacturing base that we feel may 393 00:23:16,680 --> 00:23:20,679 Speaker 1: have been abandoned. So are just gonna say, just breaking 394 00:23:20,760 --> 00:23:23,560 Speaker 1: on on energy. I didn't know. I just recently learned 395 00:23:23,600 --> 00:23:25,560 Speaker 1: this that the United States is on a tap to 396 00:23:25,840 --> 00:23:31,679 Speaker 1: pump about eight point eight million barrels of oil a day, correct, 397 00:23:31,720 --> 00:23:35,760 Speaker 1: I mean, we're somewhere around there now, but we're that 398 00:23:35,840 --> 00:23:37,840 Speaker 1: was the level that it was about two years ago. 399 00:23:37,960 --> 00:23:40,320 Speaker 1: Because of course the price of oil having come down, 400 00:23:40,359 --> 00:23:42,600 Speaker 1: a lot of wells have been shut in and so on. 401 00:23:43,160 --> 00:23:45,960 Speaker 1: You know, we're doing We're producing that amount of oil 402 00:23:46,320 --> 00:23:50,680 Speaker 1: with a third of the number of rigs. So the technology, 403 00:23:50,720 --> 00:23:53,720 Speaker 1: I mean, it's just underscores the technology change that has 404 00:23:54,119 --> 00:23:57,520 Speaker 1: gone on in the in the energy business. I agree, 405 00:23:57,520 --> 00:23:59,720 Speaker 1: and it's fascinating. And I think that was one of 406 00:23:59,720 --> 00:24:02,840 Speaker 1: the red the predictions when they were in place of 407 00:24:02,920 --> 00:24:05,600 Speaker 1: Famously Dennis Gartman, I think in February said oil would 408 00:24:05,600 --> 00:24:08,200 Speaker 1: never bring back to forty in his lifetime because it 409 00:24:08,400 --> 00:24:11,240 Speaker 1: wasn't that there was a lack of demand. There was 410 00:24:11,320 --> 00:24:14,840 Speaker 1: an ebulent amount of an amazing amount of supply, and 411 00:24:14,880 --> 00:24:18,520 Speaker 1: that supply was going to be um drilled for in 412 00:24:18,640 --> 00:24:21,919 Speaker 1: mind so efficiently that there would be no reason to 413 00:24:21,960 --> 00:24:24,200 Speaker 1: see such upward pressure on prices at any point in 414 00:24:24,200 --> 00:24:26,480 Speaker 1: the future. So yeah, I think that that plays a 415 00:24:26,520 --> 00:24:31,800 Speaker 1: big part. And the technological progression and efficiency stress is 416 00:24:31,840 --> 00:24:35,400 Speaker 1: across industries, which is really interesting as much as the 417 00:24:35,440 --> 00:24:41,240 Speaker 1: technological and the innovative components are out offshoot of tech. 418 00:24:41,320 --> 00:24:43,320 Speaker 1: The tech the tech industry which has been one of 419 00:24:43,359 --> 00:24:47,840 Speaker 1: the main laggards after the election because of this um 420 00:24:47,960 --> 00:24:51,440 Speaker 1: this theory that Trump hates tech because of the lack 421 00:24:51,520 --> 00:24:55,679 Speaker 1: of very prominence, certainly doesn't hate Twitter in the campaign. No, 422 00:24:56,080 --> 00:24:59,199 Speaker 1: he loves Twitter. So alright, So having so looking at 423 00:24:59,280 --> 00:25:01,240 Speaker 1: let's say you got it us an allocation model, and 424 00:25:01,240 --> 00:25:03,160 Speaker 1: you're saying to yourself, all right, now that I've made 425 00:25:03,200 --> 00:25:08,640 Speaker 1: some gains in energy stocks, I've made some gains in industrials, financials, 426 00:25:08,680 --> 00:25:11,440 Speaker 1: and I need to rebalance, right, this is my discipline. 427 00:25:11,440 --> 00:25:14,119 Speaker 1: I'm going to rebalance my portfolio. What do you have 428 00:25:14,200 --> 00:25:16,120 Speaker 1: to add to do the rebalancing. You have to add 429 00:25:16,119 --> 00:25:18,600 Speaker 1: more tech. You need to have more tech, need to 430 00:25:18,600 --> 00:25:20,960 Speaker 1: add more healthcare, And I think you have to double 431 00:25:21,000 --> 00:25:23,639 Speaker 1: back on some of the staple stocks, no question, I 432 00:25:23,640 --> 00:25:26,320 Speaker 1: mean I think this there is an overreaction in the 433 00:25:26,440 --> 00:25:30,679 Speaker 1: market to some perceived threat of unwinding the globalization efforts 434 00:25:30,720 --> 00:25:34,520 Speaker 1: that tech has really been the primary representation thereof. I 435 00:25:34,560 --> 00:25:38,520 Speaker 1: think there are unfounded concerns about the restrictions on intelectric 436 00:25:38,600 --> 00:25:43,119 Speaker 1: capital mobility for tech companies as well with VISA threat 437 00:25:43,200 --> 00:25:46,480 Speaker 1: propositions and things of that nature that I actually think 438 00:25:46,520 --> 00:25:50,040 Speaker 1: this is far more embarked than it is bite and 439 00:25:50,119 --> 00:25:52,520 Speaker 1: I think for Trump to really extract the benefit of 440 00:25:52,640 --> 00:25:56,480 Speaker 1: becoming the pro economy president, he realizes that tech has 441 00:25:56,520 --> 00:25:59,200 Speaker 1: to be a sidecard to that propulsion. All right, So 442 00:25:59,400 --> 00:26:04,679 Speaker 1: if you are unbalanced in your asset allocation, take a 443 00:26:04,720 --> 00:26:06,800 Speaker 1: look at what you take a look at technology, take 444 00:26:06,840 --> 00:26:10,080 Speaker 1: a look at at healthcare and also biotechnology. I would 445 00:26:10,080 --> 00:26:13,359 Speaker 1: imagine as part of that no, it within healthcare, I 446 00:26:13,400 --> 00:26:19,280 Speaker 1: mean everything throughout the vertical him UM as it relates 447 00:26:19,320 --> 00:26:24,960 Speaker 1: to producing drugs, purchasing drugs, in consuming drugs, that that 448 00:26:24,960 --> 00:26:27,600 Speaker 1: that vertical has been under assault, whether it starts with 449 00:26:27,960 --> 00:26:31,760 Speaker 1: Martin Squarelli in the catapults forward with the epipenda BACCLE 450 00:26:31,920 --> 00:26:34,639 Speaker 1: and UM. Then we're trying to understand what we're in 451 00:26:34,680 --> 00:26:38,119 Speaker 1: the in the in the process of PBM really fits 452 00:26:38,200 --> 00:26:43,919 Speaker 1: and HSU Pharmacy benefit management companies. Correct, We we're just 453 00:26:44,160 --> 00:26:47,439 Speaker 1: I believe we're just talking recently about United Health and 454 00:26:47,480 --> 00:26:51,000 Speaker 1: they have an optim unit that accounts for about of 455 00:26:51,040 --> 00:26:54,560 Speaker 1: their profits and that is basically a technology business and 456 00:26:54,600 --> 00:26:59,160 Speaker 1: it has a pharmacy benefit management UH division within that. 457 00:27:00,000 --> 00:27:02,840 Speaker 1: How many about bonds? If you have gains in bonds, 458 00:27:02,960 --> 00:27:07,080 Speaker 1: should you take them or should you wait? Well, if 459 00:27:07,119 --> 00:27:09,080 Speaker 1: you have gains in bonds and you probably had a 460 00:27:09,200 --> 00:27:13,720 Speaker 1: very strong bond portfolio, given the pullback in bond prices 461 00:27:13,760 --> 00:27:15,840 Speaker 1: that's taken place over the last six or seven weeks, 462 00:27:16,160 --> 00:27:18,560 Speaker 1: we think there's a lot of opportunity in the fixed 463 00:27:18,600 --> 00:27:21,920 Speaker 1: income market just because you had you had a pull 464 00:27:22,000 --> 00:27:25,960 Speaker 1: back very similarly to what took place during the tape 465 00:27:25,960 --> 00:27:29,119 Speaker 1: Re tangion to two thousand thirteen. But it has provided 466 00:27:29,240 --> 00:27:32,720 Speaker 1: entry points that on a spread basis, we've not seen 467 00:27:32,840 --> 00:27:36,439 Speaker 1: really sustainably since maybe before the Great Recession. So we 468 00:27:36,520 --> 00:27:39,600 Speaker 1: still think that again, given that there's been some enthusiasm 469 00:27:39,600 --> 00:27:42,280 Speaker 1: and tenantities rips in some of these market sectors, it 470 00:27:42,320 --> 00:27:44,720 Speaker 1: has been equal in offsetting with the drugging that's taken 471 00:27:44,720 --> 00:27:46,960 Speaker 1: place in some of these bond sectors. There's a lot 472 00:27:47,000 --> 00:27:49,600 Speaker 1: of opportunity, almost like the dogs of the Dow theory, 473 00:27:49,640 --> 00:27:53,280 Speaker 1: and fixed income, particularly in tax exempts or tax exmps, 474 00:27:53,359 --> 00:27:56,399 Speaker 1: have have kind of been a double whammy insomuch as 475 00:27:56,400 --> 00:27:58,800 Speaker 1: people say, Okay, rates are going up, so we gotta 476 00:27:58,840 --> 00:28:00,560 Speaker 1: get out of our current bonds as well as any 477 00:28:00,560 --> 00:28:04,119 Speaker 1: bonds surrogates and taxes are going lower, so the benefit 478 00:28:04,200 --> 00:28:08,320 Speaker 1: tangibly or quantitatively of that exemption is going to fall. 479 00:28:08,880 --> 00:28:12,520 Speaker 1: So if you see that back up multiplied in the 480 00:28:12,640 --> 00:28:15,320 Speaker 1: muni space, we still think that it's there's some very 481 00:28:15,359 --> 00:28:18,480 Speaker 1: good value in there. Thanks very much. Doug Sioca is 482 00:28:18,560 --> 00:28:22,040 Speaker 1: the chief executive and partner at cav Our Capital Partners. 483 00:28:22,640 --> 00:28:31,920 Speaker 1: Joining us from Leewood, Kansas. Thanks for listening to the 484 00:28:31,960 --> 00:28:35,320 Speaker 1: Bloomberg pian L podcast. You can subscribe and listen to 485 00:28:35,359 --> 00:28:40,600 Speaker 1: interviews at iTunes, SoundCloud, or whatever podcast platform you prefer. 486 00:28:40,920 --> 00:28:44,200 Speaker 1: I'm pim Fox. I'm out there on Twitter at pim Fox. 487 00:28:44,480 --> 00:28:47,200 Speaker 1: I'm out there on Twitter at Lisa Abramo. It's one 488 00:28:47,480 --> 00:28:50,160 Speaker 1: before the podcast. You can always catch us worldwide on 489 00:28:50,240 --> 00:28:56,800 Speaker 1: Bloomberg Radio.