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 --> 00:00:29,480 Speaker 1: SoundCloud and at Bloomberg dot com. While the trucks began 7 00:00:29,720 --> 00:00:34,360 Speaker 1: arriving before daybreak on Monday outside of Federal Building in 8 00:00:34,479 --> 00:00:38,920 Speaker 1: Orange County, the trucks were carrying thousands and thousands of 9 00:00:39,000 --> 00:00:43,080 Speaker 1: applications for H one B VISs. Well, this year it 10 00:00:43,120 --> 00:00:45,559 Speaker 1: might be just slightly different for many of the companies 11 00:00:45,560 --> 00:00:48,839 Speaker 1: seeking to hire people under the H one B VISA program. 12 00:00:48,920 --> 00:00:51,040 Speaker 1: And here to tell us about it is A rag Rana, 13 00:00:51,159 --> 00:00:54,160 Speaker 1: our senior analyst of Software and I T Services for 14 00:00:54,280 --> 00:00:58,400 Speaker 1: Bloomberg Intelligence. On a rag Let's begin with a definition 15 00:00:58,440 --> 00:01:01,560 Speaker 1: of what the H one B one VISA program is 16 00:01:01,600 --> 00:01:04,760 Speaker 1: designed to do and then tell us about some of 17 00:01:04,800 --> 00:01:09,200 Speaker 1: the confrontations around this program. Yeah, the basic premises that 18 00:01:09,240 --> 00:01:12,520 Speaker 1: if you are looking for a highly skilled person and 19 00:01:12,800 --> 00:01:15,640 Speaker 1: you are not able to find it locally, then you 20 00:01:15,640 --> 00:01:18,720 Speaker 1: would use this program to bring somebody from outside. Now 21 00:01:18,800 --> 00:01:22,080 Speaker 1: this is also used for students extensively. It's all and 22 00:01:22,640 --> 00:01:26,760 Speaker 1: but the biggest controversy I would say is that the 23 00:01:26,800 --> 00:01:29,600 Speaker 1: opponents of this plan are saying that this these visas 24 00:01:29,600 --> 00:01:32,880 Speaker 1: are being used by i T services companies from India 25 00:01:33,160 --> 00:01:36,319 Speaker 1: to bring largely from India and other areas, also to 26 00:01:36,440 --> 00:01:39,440 Speaker 1: bring um, you know, engineers at a much lower cost 27 00:01:39,520 --> 00:01:42,960 Speaker 1: and displaced workers. So that's really the controversy or the 28 00:01:43,120 --> 00:01:47,400 Speaker 1: or the issue around it. So that so just to 29 00:01:47,440 --> 00:01:50,760 Speaker 1: put this into perspectives of the use of administration under 30 00:01:50,800 --> 00:01:55,400 Speaker 1: President Trump just made a change to basically double check essentially, 31 00:01:55,400 --> 00:01:59,400 Speaker 1: if I'm understanding this correctly, applicants to get h one 32 00:01:59,480 --> 00:02:03,680 Speaker 1: P visas. How much does this shift change the game? 33 00:02:04,480 --> 00:02:06,720 Speaker 1: This one does not change you know, a whole lot 34 00:02:06,800 --> 00:02:09,200 Speaker 1: in my view. If when we looked at this thing 35 00:02:09,240 --> 00:02:11,359 Speaker 1: after the elections, we thought there would be a lot 36 00:02:11,400 --> 00:02:15,679 Speaker 1: more stricter regulations, maybe on the you know, on the 37 00:02:15,760 --> 00:02:19,640 Speaker 1: on the salary minimums or possibly you know, something which 38 00:02:19,680 --> 00:02:21,760 Speaker 1: we saw a couple of years ago. There was a 39 00:02:22,080 --> 00:02:24,200 Speaker 1: there was a clock call called the class called the 40 00:02:24,240 --> 00:02:28,320 Speaker 1: outplacement clause, which prevented companies I T outsourcing companies to 41 00:02:29,120 --> 00:02:31,480 Speaker 1: bring in people and then put it at somebody else's 42 00:02:32,280 --> 00:02:34,880 Speaker 1: site to work. But none of those things have happened. 43 00:02:34,880 --> 00:02:38,120 Speaker 1: And in fact, UM, you know, perhaps they're still working on, 44 00:02:38,520 --> 00:02:40,640 Speaker 1: you know, coming up with a new order for the 45 00:02:40,680 --> 00:02:44,120 Speaker 1: next filing season, but for this filing season, which you 46 00:02:44,160 --> 00:02:46,720 Speaker 1: know is ongoing right now, it doesn't look like it's 47 00:02:46,720 --> 00:02:48,920 Speaker 1: going to have that big of an effect. Just to 48 00:02:48,960 --> 00:02:52,880 Speaker 1: put it into context, sixty five thousand, h one b 49 00:02:53,400 --> 00:02:57,919 Speaker 1: visas are available to workers that have bachelor's degrees. Twenty 50 00:02:58,040 --> 00:03:02,280 Speaker 1: thousand additional visas are available with those with master's degrees. 51 00:03:02,800 --> 00:03:05,919 Speaker 1: But I like the number of people that applied last year, 52 00:03:06,280 --> 00:03:11,240 Speaker 1: two hundred and thirty six thousand people applied for what 53 00:03:11,320 --> 00:03:15,360 Speaker 1: are arguably eighty five thousand places. Yeah, one of the 54 00:03:15,400 --> 00:03:17,280 Speaker 1: things I think this will happen this time would be 55 00:03:17,919 --> 00:03:20,519 Speaker 1: kind of a mixed shift in the in the kind 56 00:03:20,560 --> 00:03:24,079 Speaker 1: of applications that go in UM. In the prior years, 57 00:03:24,120 --> 00:03:26,640 Speaker 1: a large portion of these applications were made by I 58 00:03:26,720 --> 00:03:30,519 Speaker 1: T services companies, but this time they have said themselves 59 00:03:30,520 --> 00:03:32,320 Speaker 1: that they're not going to be filing for a lot 60 00:03:32,360 --> 00:03:35,800 Speaker 1: of these visas UM, which will give let's say that 61 00:03:35,840 --> 00:03:39,960 Speaker 1: the you know, the likes of Microsoft, Apple, Google, uh, 62 00:03:40,040 --> 00:03:42,640 Speaker 1: you know, more visas to file from, so their portion 63 00:03:42,720 --> 00:03:45,840 Speaker 1: of this whole pool may increase into this season compared 64 00:03:45,840 --> 00:03:48,840 Speaker 1: to the last several seasons. Do we have visibility into 65 00:03:49,080 --> 00:03:52,640 Speaker 1: just how dominant with respect to H one visas the 66 00:03:52,840 --> 00:03:57,880 Speaker 1: lower wage kind of more road to workers are in 67 00:03:57,920 --> 00:03:59,960 Speaker 1: other words, how much how many of these jobs, how 68 00:04:00,000 --> 00:04:01,640 Speaker 1: many of these visas are going to people who are 69 00:04:01,680 --> 00:04:04,880 Speaker 1: doing work that isn't as specialized as you would think 70 00:04:05,080 --> 00:04:08,600 Speaker 1: given the parameters set out by by the idea. At least, 71 00:04:08,840 --> 00:04:12,920 Speaker 1: you know, the salary minimum is about sixty dollars or so, 72 00:04:12,920 --> 00:04:15,680 Speaker 1: so it's not really anything a below that. Usually a 73 00:04:15,680 --> 00:04:18,760 Speaker 1: lot of them have technology background or a science background, 74 00:04:19,040 --> 00:04:20,599 Speaker 1: so you would have you know, some kind of a 75 00:04:20,600 --> 00:04:23,840 Speaker 1: bachelor's degree for sure. Now it could be people with finance, 76 00:04:23,920 --> 00:04:26,080 Speaker 1: or it could be actually any degree. But one of 77 00:04:26,080 --> 00:04:28,200 Speaker 1: the things that happens, and I don't think people realize 78 00:04:28,240 --> 00:04:30,640 Speaker 1: this when you're when you're filing for an h N and 79 00:04:30,600 --> 00:04:33,000 Speaker 1: and B, you have to go through a labor certification process, 80 00:04:33,000 --> 00:04:36,359 Speaker 1: which means for that particular job posting, you have to 81 00:04:36,400 --> 00:04:39,800 Speaker 1: go to the Department of Labors database to see how 82 00:04:39,920 --> 00:04:42,400 Speaker 1: much is that person getting paid, and you have to 83 00:04:42,440 --> 00:04:45,080 Speaker 1: make sure it's not below that certain amount. Now, let's 84 00:04:45,080 --> 00:04:47,280 Speaker 1: say that you know, I'm just making this up. Let's 85 00:04:47,279 --> 00:04:50,480 Speaker 1: say software engineer one is getting paid somewhere between seventy 86 00:04:50,480 --> 00:04:53,839 Speaker 1: five and eighty five thou dollars. The company might decide 87 00:04:53,880 --> 00:04:56,080 Speaker 1: to pay that person on the lower end, but they 88 00:04:56,080 --> 00:04:59,280 Speaker 1: can't just pay them twenty dollars and you know completely, 89 00:05:00,279 --> 00:05:03,040 Speaker 1: you know, bypass the whole system. That's not possible. And 90 00:05:03,080 --> 00:05:05,479 Speaker 1: for a lot of the I T services companies, even 91 00:05:05,520 --> 00:05:07,480 Speaker 1: if they pay at the lower end, let's say between 92 00:05:07,480 --> 00:05:10,720 Speaker 1: this band, if you add the visa application cost and 93 00:05:10,760 --> 00:05:13,400 Speaker 1: the cost to bring them from an offshore location to 94 00:05:13,440 --> 00:05:16,520 Speaker 1: the US, the net cost is the same. The big 95 00:05:16,560 --> 00:05:19,680 Speaker 1: issue over here is, at least for engineering and science, 96 00:05:19,839 --> 00:05:22,080 Speaker 1: we have a massive shortage of those people in the US. 97 00:05:22,800 --> 00:05:27,560 Speaker 1: You also have a shortage of those people in research institutions. Correct, absolutely, 98 00:05:27,720 --> 00:05:31,000 Speaker 1: But there are certain nonprofits and other areas they can 99 00:05:31,000 --> 00:05:34,040 Speaker 1: actually fall into a different visa category, so they might 100 00:05:34,040 --> 00:05:36,679 Speaker 1: not be, you know, part of that same pool. Top 101 00:05:36,720 --> 00:05:42,000 Speaker 1: recipients of these visas are Tata Consultancy Services, Infosis, and 102 00:05:42,480 --> 00:05:46,040 Speaker 1: whip Pro, all based in India. Although I will say 103 00:05:46,120 --> 00:05:48,840 Speaker 1: it's very hard to know who the real beneficiaries are 104 00:05:48,880 --> 00:05:51,919 Speaker 1: because those are outsourcing companies and it's unclear where exactly 105 00:05:51,960 --> 00:05:55,839 Speaker 1: they're going to place some of their staff. Correct. I 106 00:05:55,839 --> 00:05:57,520 Speaker 1: mean they could end up at a big bank or 107 00:05:57,560 --> 00:05:59,440 Speaker 1: you know somewhere or something like that. So there are 108 00:05:59,440 --> 00:06:02,840 Speaker 1: two pieces of it. One is large banks have been 109 00:06:02,880 --> 00:06:06,239 Speaker 1: outsourcing their ID divisions for multiple yers for fifteen twenty 110 00:06:06,279 --> 00:06:08,720 Speaker 1: years now, so they're skeleton you know, they're on I 111 00:06:08,800 --> 00:06:12,080 Speaker 1: T departments on a skeleton basis, and some of these 112 00:06:12,080 --> 00:06:16,279 Speaker 1: companies are working on their behalf. Second thing, there is 113 00:06:16,279 --> 00:06:18,800 Speaker 1: a ratio of what we call an onshore offshore ratio, 114 00:06:19,440 --> 00:06:24,039 Speaker 1: where if you have a legacy I T project, that 115 00:06:24,120 --> 00:06:26,200 Speaker 1: work is done in an in a low cost country 116 00:06:26,240 --> 00:06:30,080 Speaker 1: and thirty in the high cost One of the unintended 117 00:06:30,120 --> 00:06:33,119 Speaker 1: consequence of something like this could be you could ship 118 00:06:33,200 --> 00:06:36,159 Speaker 1: all of that work off shore because with communications with 119 00:06:36,240 --> 00:06:39,480 Speaker 1: high connectivity, you really don't need to be sitting at 120 00:06:39,480 --> 00:06:42,920 Speaker 1: that client's location to do some work. Now, if you're 121 00:06:42,920 --> 00:06:46,280 Speaker 1: looking at some emerging technology work, whether cloud or analytics, 122 00:06:46,320 --> 00:06:49,640 Speaker 1: you would still require a high on site presence. But 123 00:06:50,120 --> 00:06:54,480 Speaker 1: if pressure like this continues, I expect a lot portion 124 00:06:54,560 --> 00:06:58,440 Speaker 1: of some legacy work to go more offshore. Than then 125 00:06:58,480 --> 00:07:02,160 Speaker 1: then what's intended to so may have unintended consequences, maybe 126 00:07:02,240 --> 00:07:05,159 Speaker 1: the exact opposite of what the current administration is hoping 127 00:07:05,200 --> 00:07:07,599 Speaker 1: to do with the H one b vs A program. Yes, 128 00:07:07,600 --> 00:07:09,360 Speaker 1: because I don't think any bank is going to spend 129 00:07:09,400 --> 00:07:12,400 Speaker 1: more money on it than they are currently doing right now, 130 00:07:12,680 --> 00:07:14,400 Speaker 1: that that growth rate is not going to be very 131 00:07:14,400 --> 00:07:16,560 Speaker 1: good operate, But just to be clear, to reiterate your 132 00:07:16,560 --> 00:07:21,120 Speaker 1: point from earlier, this particular change won't necessarily move the 133 00:07:21,120 --> 00:07:23,920 Speaker 1: needle that much, but it's sort of proceeds. What could 134 00:07:24,000 --> 00:07:27,200 Speaker 1: be something that would be more substantial, substantive and have 135 00:07:27,440 --> 00:07:30,120 Speaker 1: a more significant effect. Correct, Yeah, that could be. That's possible. 136 00:07:30,360 --> 00:07:32,920 Speaker 1: An Grana, thank you so much for joining us. Always 137 00:07:32,920 --> 00:07:35,800 Speaker 1: a pleasure on our Granda is senior analyst of software 138 00:07:35,840 --> 00:07:51,360 Speaker 1: and I T Services here at Bloomberg Intelligence. A battle 139 00:07:51,520 --> 00:07:55,800 Speaker 1: against Amazon in the vending machine business. Tom Mern is 140 00:07:55,840 --> 00:07:58,880 Speaker 1: the founder and the chief executive of Via Touch Media, 141 00:07:59,000 --> 00:08:02,120 Speaker 1: and he joins us now to explain his effort to 142 00:08:03,120 --> 00:08:06,360 Speaker 1: push Amazon aside. Tom Urin, thanks very much for being 143 00:08:06,360 --> 00:08:09,080 Speaker 1: with us. Thank you, good morning, good morning. You know, 144 00:08:09,120 --> 00:08:11,840 Speaker 1: I was looking at some information about vending machines because 145 00:08:11,840 --> 00:08:14,280 Speaker 1: this is the topic at hand, and I noted. You know, 146 00:08:14,360 --> 00:08:18,120 Speaker 1: Japan of course has this love of vending machines, and 147 00:08:18,720 --> 00:08:22,080 Speaker 1: you can buy Umbrella's eggs, surgical masks, you can even 148 00:08:22,120 --> 00:08:25,480 Speaker 1: buy puppies from a vending machine. Now, I know you're 149 00:08:25,480 --> 00:08:32,640 Speaker 1: not gonna go this far, but okay, right headline, right headline, 150 00:08:32,840 --> 00:08:36,200 Speaker 1: tell us about your your business and how you put 151 00:08:36,240 --> 00:08:39,079 Speaker 1: this together and what you're trying to accomplish. Oh sure, 152 00:08:39,200 --> 00:08:42,000 Speaker 1: so we You know, we're a local New York company 153 00:08:42,040 --> 00:08:47,600 Speaker 1: doing Manhattan and Connecticut and Long Island UM for years, 154 00:08:47,800 --> 00:08:52,480 Speaker 1: so a lot of experience in major companies City Bank, Goldman, Sachs, 155 00:08:52,559 --> 00:08:55,720 Speaker 1: Home Depot, Costco UM. So you know, we get a 156 00:08:55,720 --> 00:08:59,839 Speaker 1: lot of feedback from what people wanted and the old 157 00:09:00,040 --> 00:09:02,760 Speaker 1: experience and vending where you kind of have to bend 158 00:09:02,760 --> 00:09:05,440 Speaker 1: down put your hand through a door. Uh, that's not 159 00:09:05,559 --> 00:09:09,080 Speaker 1: what people liked anymore. They were looking more for the 160 00:09:09,160 --> 00:09:11,160 Speaker 1: experience they get every day they can open a door, 161 00:09:11,440 --> 00:09:14,160 Speaker 1: pick up a product, look at it, then decide if 162 00:09:14,160 --> 00:09:15,840 Speaker 1: they want to buy it, you know, not have to 163 00:09:15,880 --> 00:09:18,000 Speaker 1: be stuck with what you know, they pushed the button. 164 00:09:18,520 --> 00:09:24,320 Speaker 1: So we developed technology where through biometrics, through your thumb 165 00:09:25,160 --> 00:09:27,760 Speaker 1: or Apple pay, you can open the door, look at 166 00:09:27,760 --> 00:09:30,840 Speaker 1: the item, decide if you like it. If you close 167 00:09:30,920 --> 00:09:33,480 Speaker 1: the door, you've now purchased it. And then we also 168 00:09:33,559 --> 00:09:36,360 Speaker 1: added media where when you pick up an item, we 169 00:09:36,440 --> 00:09:39,080 Speaker 1: deliver content about the item in your hand. So you're 170 00:09:39,120 --> 00:09:41,000 Speaker 1: not seeing media about things you don't care about, your 171 00:09:41,000 --> 00:09:43,760 Speaker 1: seeing media about the item you've picked up. So, Tom, 172 00:09:43,800 --> 00:09:46,559 Speaker 1: I mean, is this is this what's old is new again? 173 00:09:46,600 --> 00:09:48,280 Speaker 1: I mean, is this sort of like a return of 174 00:09:48,320 --> 00:09:52,400 Speaker 1: the automat where all of a sudden there's this future 175 00:09:52,440 --> 00:09:54,480 Speaker 1: of the new real world of just you know these 176 00:09:54,520 --> 00:09:57,400 Speaker 1: doors line wall to wall doors that you could open 177 00:09:57,480 --> 00:10:00,720 Speaker 1: up and get stuff. Uh, I mean, I guess in 178 00:10:00,720 --> 00:10:03,920 Speaker 1: one respect, yes, you know, sometimes returning to old is 179 00:10:04,320 --> 00:10:07,480 Speaker 1: what what works. But when we take the Internet of 180 00:10:07,559 --> 00:10:11,679 Speaker 1: Things and bring technology and today to it. So the 181 00:10:11,840 --> 00:10:14,720 Speaker 1: difference between that on this one, if you use your thumb, 182 00:10:14,760 --> 00:10:16,960 Speaker 1: we know it's you. We say like two would say hi, 183 00:10:17,120 --> 00:10:18,760 Speaker 1: it does say. It says hi hi Tom, when I 184 00:10:18,800 --> 00:10:21,320 Speaker 1: opened the door, and then it kind of remembers over 185 00:10:21,440 --> 00:10:24,200 Speaker 1: time which you buy and it makes different offers based 186 00:10:24,240 --> 00:10:27,160 Speaker 1: on it. It's an IoT device, so it's connected all 187 00:10:27,160 --> 00:10:30,920 Speaker 1: the time. And that's our lease of version, our Vicky version, 188 00:10:30,960 --> 00:10:34,679 Speaker 1: which comes out in August, has artificial intelligence in it 189 00:10:34,720 --> 00:10:36,319 Speaker 1: where as you pick, but you can have a two 190 00:10:36,320 --> 00:10:38,720 Speaker 1: way conversation about the item. So I don't think the 191 00:10:38,720 --> 00:10:41,760 Speaker 1: automats did that give us a little detail of how 192 00:10:41,840 --> 00:10:45,480 Speaker 1: much the machines cost and how they're all networked and 193 00:10:45,600 --> 00:10:49,839 Speaker 1: connected to your supply chain. Okay, so, uh, they are 194 00:10:49,920 --> 00:10:52,320 Speaker 1: all network there on the you know, the web based, 195 00:10:52,800 --> 00:10:57,360 Speaker 1: so they do communicate to each other. Um, they retail 196 00:10:57,400 --> 00:11:00,319 Speaker 1: for seven thousand. If somebody bought one, and I am 197 00:11:00,559 --> 00:11:03,360 Speaker 1: they dropped a little five thousand. How much interest have 198 00:11:03,480 --> 00:11:07,760 Speaker 1: you got? How many? How big is your business? Um? Well, 199 00:11:07,840 --> 00:11:10,280 Speaker 1: my present vending business is about forty million in sales 200 00:11:10,880 --> 00:11:16,760 Speaker 1: UM in this category. Um, it's we're getting calls worldwide. Um, 201 00:11:16,880 --> 00:11:18,760 Speaker 1: there's no one that we brought it to. In the 202 00:11:18,760 --> 00:11:21,520 Speaker 1: prototype version, we sold a quarter million of prototypes and 203 00:11:21,520 --> 00:11:24,800 Speaker 1: we didn't even want to sell them. UM. Quarter million dollars, 204 00:11:24,840 --> 00:11:28,800 Speaker 1: not a quarter million units and just gathering information, research 205 00:11:28,840 --> 00:11:33,319 Speaker 1: and development, um and any when we've brought it, they 206 00:11:33,360 --> 00:11:38,800 Speaker 1: want it food as a vending machine item, specifically coffee. 207 00:11:39,559 --> 00:11:43,240 Speaker 1: Is that the high margin business you want to be in? Uh, well, 208 00:11:43,320 --> 00:11:45,720 Speaker 1: we're looking to change it. It's like autal retail. So 209 00:11:45,760 --> 00:11:48,480 Speaker 1: it's a great question. Coffee is definitely something we're interested in, 210 00:11:48,559 --> 00:11:52,000 Speaker 1: like selling curis and things like that, so people can 211 00:11:52,280 --> 00:11:54,920 Speaker 1: UM swipe their card or again, like I said, you'll 212 00:11:54,960 --> 00:11:58,199 Speaker 1: be able to UM look at the machine and it 213 00:11:58,240 --> 00:12:00,600 Speaker 1: will recognize your eye believe or not. The door open, 214 00:12:01,120 --> 00:12:03,280 Speaker 1: So we want to we want to be able to 215 00:12:03,320 --> 00:12:06,200 Speaker 1: open it during let the let the supplier decide what 216 00:12:06,200 --> 00:12:09,640 Speaker 1: they want to sell. UM. You know curates disappear in 217 00:12:09,679 --> 00:12:12,920 Speaker 1: our machine. They would not because as you take it out, 218 00:12:12,960 --> 00:12:15,640 Speaker 1: you paid for it. So the things that get left 219 00:12:15,679 --> 00:12:18,719 Speaker 1: out in the past UM will be now counted. It 220 00:12:18,800 --> 00:12:23,280 Speaker 1: Autal inventories itself through cameras and sensors, so it virtually 221 00:12:23,320 --> 00:12:26,480 Speaker 1: eliminates stuff. So Tom, how big do you think this 222 00:12:26,520 --> 00:12:30,959 Speaker 1: business could get? UM in the billions? So it's not 223 00:12:30,960 --> 00:12:33,160 Speaker 1: going to take on Amazon, but it might be a 224 00:12:33,240 --> 00:12:37,600 Speaker 1: way for some investors to or some some retailers to 225 00:12:37,880 --> 00:12:41,520 Speaker 1: at least uh cater to people's wish to just get 226 00:12:41,559 --> 00:12:43,480 Speaker 1: stuff on demand to and sort of be able to 227 00:12:43,559 --> 00:12:44,679 Speaker 1: pull it out and not have to deal with a 228 00:12:44,720 --> 00:12:48,360 Speaker 1: human being. Yes, it's it's that, or you can it 229 00:12:48,440 --> 00:12:51,160 Speaker 1: can take on Amazon in a way that the unit. 230 00:12:51,240 --> 00:12:54,280 Speaker 1: Since they're online, you can see what inventories wear and 231 00:12:54,360 --> 00:12:57,040 Speaker 1: we can direct you so you don't have to wait overnight. 232 00:12:57,080 --> 00:12:58,440 Speaker 1: You don't have to wait till the next day. Do 233 00:12:58,520 --> 00:13:01,480 Speaker 1: I have it? What's the close unit? Where can I 234 00:13:01,480 --> 00:13:04,840 Speaker 1: pick it up? Um? Not? Not? You know, not everybody 235 00:13:04,880 --> 00:13:07,800 Speaker 1: can get a package delivered to them they're not home. 236 00:13:08,280 --> 00:13:10,760 Speaker 1: You know, there's a large population. Even New York City 237 00:13:10,840 --> 00:13:14,240 Speaker 1: doesn't have dormant um. So it opens a whole new 238 00:13:14,280 --> 00:13:17,559 Speaker 1: market of um. You know, maybe I want to pick 239 00:13:17,640 --> 00:13:20,160 Speaker 1: up something and not, you know, not everybody know I'm 240 00:13:20,160 --> 00:13:23,480 Speaker 1: getting it. It's a surprise gift or something. So uh, 241 00:13:23,840 --> 00:13:27,280 Speaker 1: it enables the small guy to go into business, you know. 242 00:13:27,679 --> 00:13:30,000 Speaker 1: Tom Martin, thank you so much for joining us, founder 243 00:13:30,040 --> 00:13:33,720 Speaker 1: and chief executive officer of via Touch Media based in 244 00:13:33,720 --> 00:13:35,800 Speaker 1: New York City. Talking about the vending machine and we're 245 00:13:35,800 --> 00:13:38,360 Speaker 1: all going to see automats springing up all of it. 246 00:13:38,440 --> 00:13:41,840 Speaker 1: I just like the name, Lisa tam you said. Now 247 00:13:54,000 --> 00:13:57,720 Speaker 1: you know. In December, then President Barack Obama he signed 248 00:13:57,800 --> 00:14:00,920 Speaker 1: legislation that ended in nearly forty year ban on the 249 00:14:01,000 --> 00:14:04,040 Speaker 1: export of crude oil from the United States. The US 250 00:14:04,120 --> 00:14:08,120 Speaker 1: currently produces over nine million barrels of oil a day. 251 00:14:08,360 --> 00:14:10,600 Speaker 1: And here tell us more about the oil and energy 252 00:14:10,679 --> 00:14:13,199 Speaker 1: sector is John Grotten. He is a director of equity 253 00:14:13,240 --> 00:14:17,120 Speaker 1: research at a thrive Vent asset Management, helping to manage 254 00:14:17,200 --> 00:14:20,680 Speaker 1: more than fifteen billion dollars. He's based in Minneapolis, but 255 00:14:20,720 --> 00:14:23,400 Speaker 1: he joins us here in our studio. John, thank you 256 00:14:23,480 --> 00:14:26,240 Speaker 1: very much for being with us. Give people the picture 257 00:14:26,360 --> 00:14:29,880 Speaker 1: of the US oil production and how it fits in 258 00:14:29,920 --> 00:14:34,640 Speaker 1: to the different refinery It's parts of the story because 259 00:14:34,680 --> 00:14:38,920 Speaker 1: it's different kinds of crude require different kinds of refining processes. 260 00:14:39,120 --> 00:14:42,560 Speaker 1: That's right, Pam, thank you for having me. US production 261 00:14:42,640 --> 00:14:45,880 Speaker 1: is incredibly important right now to global balances. During the 262 00:14:45,880 --> 00:14:48,960 Speaker 1: down cycle that started in two thousand fourteen and continue 263 00:14:49,000 --> 00:14:51,920 Speaker 1: through two thousand and sixteen, production dropped off over one 264 00:14:51,920 --> 00:14:54,720 Speaker 1: million barrels per day. That is now starting to rebound. 265 00:14:55,160 --> 00:14:58,200 Speaker 1: Demand globally is robust. It's up one point for million 266 00:14:58,200 --> 00:15:00,240 Speaker 1: barrels per day, and we expect that to go for ward. 267 00:15:00,600 --> 00:15:03,640 Speaker 1: In the US, supply is an important component to make 268 00:15:03,640 --> 00:15:08,160 Speaker 1: sure that demand is is adequately compensated for. There is 269 00:15:08,160 --> 00:15:10,560 Speaker 1: some concern amongst investors, and this is one reason why 270 00:15:10,720 --> 00:15:13,080 Speaker 1: energy stocks have not been terrific so far this year 271 00:15:13,600 --> 00:15:16,400 Speaker 1: is that we're growing production too fast. We'll see how 272 00:15:16,440 --> 00:15:19,040 Speaker 1: that goes. Some of the data that's been shared so 273 00:15:19,080 --> 00:15:21,920 Speaker 1: far from the Department of Energy it doesn't look to 274 00:15:21,960 --> 00:15:24,280 Speaker 1: be as robust as some of the companies are talking about. 275 00:15:24,840 --> 00:15:28,200 Speaker 1: So we do have demand growth that will continue. We 276 00:15:28,240 --> 00:15:31,800 Speaker 1: can talk about OPEC separately, but to your question directly, 277 00:15:32,240 --> 00:15:34,680 Speaker 1: the US supply is very, very important. You do bring 278 00:15:34,760 --> 00:15:37,680 Speaker 1: up an important point also, though there's different kinds of cruise, 279 00:15:37,680 --> 00:15:41,000 Speaker 1: there's actually dozens of different varieties and they have different characteristics. 280 00:15:42,280 --> 00:15:46,480 Speaker 1: Our refining system is optimized to to burn and distill 281 00:15:46,840 --> 00:15:50,400 Speaker 1: more complicated, heavier crudes, whereas most of our new production 282 00:15:50,480 --> 00:15:52,680 Speaker 1: is like crudes. And that's one reason why we are 283 00:15:52,720 --> 00:15:56,400 Speaker 1: exporting for the first time in decades is that we 284 00:15:56,520 --> 00:15:59,800 Speaker 1: produced the wrong kind of crude for what our refineries you. 285 00:16:00,480 --> 00:16:02,200 Speaker 1: So it's a little bit of an odd dynamic that 286 00:16:02,200 --> 00:16:04,720 Speaker 1: we're both an importer and an exporter at the same time. 287 00:16:05,120 --> 00:16:07,400 Speaker 1: And that's the key reason why that the difference in 288 00:16:07,720 --> 00:16:12,040 Speaker 1: crude that that our refiners require. Yeah, Jason Shanker of 289 00:16:12,080 --> 00:16:15,000 Speaker 1: Prestige Economics actually wrote a column for bloom Review on 290 00:16:15,080 --> 00:16:17,560 Speaker 1: exactly this issue, that perhaps we're looking at the wrong 291 00:16:17,680 --> 00:16:20,840 Speaker 1: inventory data because of just what you're talking about. That 292 00:16:20,920 --> 00:16:24,680 Speaker 1: people overestimate just how much the stockpiles have grown and 293 00:16:24,720 --> 00:16:27,120 Speaker 1: aren't considering exactly what you're talking about, which is the 294 00:16:27,200 --> 00:16:30,520 Speaker 1: light crude um. You know you oversee about fifteen billion 295 00:16:30,600 --> 00:16:33,960 Speaker 1: dollars of assets at thrive in right um. How are 296 00:16:34,000 --> 00:16:37,360 Speaker 1: you positioning and how have you changed your position with 297 00:16:37,400 --> 00:16:41,240 Speaker 1: respect to energy related companies in the wake of some 298 00:16:41,320 --> 00:16:43,880 Speaker 1: of the bouncing around of the oil price this year, 299 00:16:43,920 --> 00:16:47,760 Speaker 1: as well as so such diverse speculation with some people 300 00:16:47,760 --> 00:16:49,720 Speaker 1: saying it's poised for another crash and other people saying 301 00:16:49,720 --> 00:16:52,560 Speaker 1: we're headed toward eighty dollars a barrel. To be precise, 302 00:16:52,640 --> 00:16:54,920 Speaker 1: the fifteen billion dollars is for a mutual fine group 303 00:16:55,120 --> 00:16:57,840 Speaker 1: Thriving Financial and total has over one billion dollars in 304 00:16:57,880 --> 00:17:00,440 Speaker 1: asset under management. As far as what we're doing an 305 00:17:00,520 --> 00:17:04,240 Speaker 1: energy we are positively biased towards it. We are an 306 00:17:04,320 --> 00:17:07,199 Speaker 1: investment organization. We look out two and three years, not 307 00:17:07,320 --> 00:17:10,160 Speaker 1: two in three months, and with that especially our view 308 00:17:10,160 --> 00:17:14,280 Speaker 1: of where supply demand will be in twenties favorable. Having 309 00:17:14,280 --> 00:17:16,920 Speaker 1: said that, we don't get too far away from our benchmarks. 310 00:17:17,359 --> 00:17:19,920 Speaker 1: So most of our work. Especially in some of our 311 00:17:20,240 --> 00:17:23,679 Speaker 1: our balanced funds. We tend to stay close to sector 312 00:17:23,720 --> 00:17:27,440 Speaker 1: neutral and we fancy ourselves stock stock pickers, and our 313 00:17:27,440 --> 00:17:30,600 Speaker 1: own attribution show that's that's where we've done bestins picking stocks. 314 00:17:31,000 --> 00:17:33,920 Speaker 1: So we do have a positive energy view. But having 315 00:17:33,960 --> 00:17:37,119 Speaker 1: said that, we don't make a massive bet in any sector. 316 00:17:37,560 --> 00:17:41,920 Speaker 1: That's just our how we managed funds regardless of the sector. 317 00:17:42,280 --> 00:17:45,360 Speaker 1: Increases in production in this high quality crew that you're 318 00:17:45,400 --> 00:17:48,600 Speaker 1: talking about comes mainly where from Texas, from the Permian 319 00:17:48,680 --> 00:17:51,280 Speaker 1: and the Eagle Forward basin. If you're an investor and 320 00:17:51,320 --> 00:17:53,920 Speaker 1: you want to participate, what do you do? That's correct. 321 00:17:54,000 --> 00:17:57,280 Speaker 1: The biggest increases are from the Permian basin. Activity will 322 00:17:57,320 --> 00:17:59,479 Speaker 1: pick up in the Eagleford in South Texas as well 323 00:17:59,520 --> 00:18:01,320 Speaker 1: as the Box in Shail in North Dakota, close to 324 00:18:01,320 --> 00:18:04,560 Speaker 1: our hometown. But the Permian really is a driver, and 325 00:18:04,560 --> 00:18:06,919 Speaker 1: the reason for that is it's been around for fifty 326 00:18:07,040 --> 00:18:10,200 Speaker 1: plus years, but it's a layer cake of different geologic 327 00:18:10,320 --> 00:18:12,560 Speaker 1: formations that are still being explored. So we still have 328 00:18:12,640 --> 00:18:15,560 Speaker 1: the upside for companies that operate there. That's less of 329 00:18:15,600 --> 00:18:18,640 Speaker 1: the case in Eagleford and Baking. Every oil play has 330 00:18:18,680 --> 00:18:22,879 Speaker 1: a life cycle, whether it's ontore offshore conventional unconventional baking. 331 00:18:23,000 --> 00:18:24,960 Speaker 1: Eagle Ford are further along in that life cycle, but 332 00:18:25,000 --> 00:18:27,760 Speaker 1: Permian it's still early. So two of our favorite exploration 333 00:18:27,800 --> 00:18:30,800 Speaker 1: companies do operate in the Permian. One Pioneer Natural Resources, 334 00:18:31,000 --> 00:18:34,959 Speaker 1: second Parsley Energy. Curious thing is the CEO of Parsley 335 00:18:35,080 --> 00:18:37,560 Speaker 1: Energy is the son of the chairman of Pioneer Natural 336 00:18:37,600 --> 00:18:40,240 Speaker 1: Resources and the family has been working in the basin 337 00:18:40,320 --> 00:18:44,240 Speaker 1: for literally since nineteen sixty six. Predecessor organizations a Pioneer, 338 00:18:44,720 --> 00:18:47,040 Speaker 1: so they have an advantage in that they have worked there, 339 00:18:47,440 --> 00:18:50,720 Speaker 1: they know the rocks better, they have cheap releases. Some 340 00:18:50,800 --> 00:18:53,639 Speaker 1: other companies are paying thirty to thirty five thou dollars 341 00:18:53,640 --> 00:18:56,800 Speaker 1: per acre for rights to drill. Pioneer doesn't have an 342 00:18:56,840 --> 00:18:58,919 Speaker 1: issue because they've already been there, so they have a 343 00:18:58,920 --> 00:19:01,439 Speaker 1: permanent advantage and there's a key reason why that's one 344 00:19:01,480 --> 00:19:04,199 Speaker 1: of our favorite companies. John, you know you live, you 345 00:19:04,240 --> 00:19:07,160 Speaker 1: said near North Dakota and some of the drilling boom 346 00:19:07,200 --> 00:19:09,879 Speaker 1: that we we here talk about, how has the area 347 00:19:10,000 --> 00:19:13,919 Speaker 1: changed in the past ten years? Um Western North Dakota, 348 00:19:13,960 --> 00:19:18,120 Speaker 1: it's completely different. UM rigcount went from twenty riggs drilling 349 00:19:18,119 --> 00:19:21,159 Speaker 1: for oil to two back to twenty, so it was 350 00:19:21,240 --> 00:19:26,160 Speaker 1: a Western boom town. Unfortunately, this industry always cycles. Some 351 00:19:26,200 --> 00:19:29,360 Speaker 1: people talk about new normals of lower prices. We don't 352 00:19:29,359 --> 00:19:32,440 Speaker 1: accept that argument. Energy is all as a cyclical industry, 353 00:19:32,440 --> 00:19:36,000 Speaker 1: and now we're coming out of one of those down cycles. 354 00:19:36,119 --> 00:19:39,760 Speaker 1: So the backing will pick up from where it is currently. 355 00:19:39,880 --> 00:19:43,159 Speaker 1: Recounts are increasing, but that one, like I said, the 356 00:19:43,200 --> 00:19:46,679 Speaker 1: life cycle of what's available in the backing is a 357 00:19:46,720 --> 00:19:49,840 Speaker 1: little bit longer in the tooth, and when that happens, 358 00:19:49,840 --> 00:19:51,879 Speaker 1: the rocks can only give you so much oil. It 359 00:19:51,920 --> 00:19:55,280 Speaker 1: doesn't matter how much better the technology gets. The industry 360 00:19:55,359 --> 00:19:59,080 Speaker 1: is fantastic. The engineers are brilliant, the scientists are brilliant. 361 00:19:59,480 --> 00:20:02,120 Speaker 1: Even the guys out the rake hands, drilling wheels, they're 362 00:20:02,119 --> 00:20:04,720 Speaker 1: always getting better and better. But there's you can't squeeze 363 00:20:04,720 --> 00:20:06,879 Speaker 1: blood from a turn up, and you're running out of 364 00:20:06,920 --> 00:20:10,520 Speaker 1: time with um in the back in particularly what opportunity 365 00:20:10,560 --> 00:20:13,280 Speaker 1: remains there. You can't squeeze a blood out of a 366 00:20:13,320 --> 00:20:15,199 Speaker 1: sugar beet. I used to live in farther North Dakota, 367 00:20:15,240 --> 00:20:18,160 Speaker 1: and I've heard a lot from my former co workers 368 00:20:18,280 --> 00:20:20,879 Speaker 1: how much it has changed. So it's interesting. I wonder 369 00:20:20,920 --> 00:20:23,600 Speaker 1: how the boom and the bust and you know, has 370 00:20:23,640 --> 00:20:26,240 Speaker 1: has affected the whole area. Really fascinating stuff. Thank you 371 00:20:26,280 --> 00:20:29,280 Speaker 1: so much for joining us, John Grotten, director of equity 372 00:20:29,320 --> 00:20:43,600 Speaker 1: researcher Thrive into Asset Management. We're spending a lot of 373 00:20:43,600 --> 00:20:46,640 Speaker 1: time talking about US and job growth there and political 374 00:20:46,760 --> 00:20:50,320 Speaker 1: developments here in South Africa. There is a and has 375 00:20:50,359 --> 00:20:53,639 Speaker 1: been a pretty dramatic situation unfolding with a quite a 376 00:20:53,640 --> 00:20:57,680 Speaker 1: bit of political turmoil going on there and SMP downgrading 377 00:20:57,880 --> 00:21:01,000 Speaker 1: that nation to junk. This matter are is tremendously to 378 00:21:01,200 --> 00:21:04,160 Speaker 1: the global bond markets, since this country has one point 379 00:21:04,200 --> 00:21:07,680 Speaker 1: seven trillion dollars of outstanding obligations. To get better perspective 380 00:21:07,880 --> 00:21:09,320 Speaker 1: on what the implications are, I want to bring in 381 00:21:09,440 --> 00:21:12,600 Speaker 1: Damien Sassaur, who is a fixed income strategist for Bloomberg 382 00:21:12,680 --> 00:21:15,720 Speaker 1: Intelligence and is here with us. Uh Damien, what do 383 00:21:15,760 --> 00:21:17,479 Speaker 1: you make of this? I mean, do you do you 384 00:21:17,520 --> 00:21:20,560 Speaker 1: think that the market was just surprised by some of 385 00:21:20,560 --> 00:21:22,919 Speaker 1: the political turmoil? Why? Why was there such a rapid 386 00:21:22,960 --> 00:21:26,200 Speaker 1: sell off in the bonds and uh as a pretty 387 00:21:26,200 --> 00:21:29,320 Speaker 1: substantial move in the currency as well. Yeah no, I mean, 388 00:21:29,320 --> 00:21:31,159 Speaker 1: thank you lie so well. Um, I don't think the 389 00:21:31,160 --> 00:21:33,120 Speaker 1: markets with that surprise. Quite frankly, I think a lot 390 00:21:33,160 --> 00:21:35,480 Speaker 1: of this was priced in. I think what did surprise 391 00:21:35,760 --> 00:21:39,560 Speaker 1: UM bond investors, certainly hard currency Emerging market bond investors, 392 00:21:39,560 --> 00:21:41,959 Speaker 1: is that SMP maintained its negative outlook and then just 393 00:21:42,359 --> 00:21:45,879 Speaker 1: today this morning, Moody's UM put put the country on 394 00:21:45,920 --> 00:21:48,360 Speaker 1: review for they put them on negative credit watch. So 395 00:21:49,040 --> 00:21:51,240 Speaker 1: that implies that at some point of the next one 396 00:21:51,280 --> 00:21:54,480 Speaker 1: to three months Moody's as well maybe downgrading UM the 397 00:21:54,680 --> 00:21:58,040 Speaker 1: country's UM issue or ratings. So so, yeah, I think 398 00:21:58,119 --> 00:22:01,800 Speaker 1: markets are trying to digest the at that, you know, fundamentally, 399 00:22:01,880 --> 00:22:05,720 Speaker 1: the economic situation in South Africa's deteriorating. The President of 400 00:22:05,760 --> 00:22:12,960 Speaker 1: South Africa, Jacob Zuma, fired the finance minister, Prava Gord him. 401 00:22:13,040 --> 00:22:16,720 Speaker 1: Why did that take place and what are the implications? Sure, well, 402 00:22:16,760 --> 00:22:20,239 Speaker 1: I mean Gordon UM and Zuma had been feuding for 403 00:22:20,280 --> 00:22:23,959 Speaker 1: some time UM. I think, you know, more recently it 404 00:22:24,040 --> 00:22:26,560 Speaker 1: was over the management of state owned companies and quite 405 00:22:26,560 --> 00:22:30,920 Speaker 1: frankly the affordability of nuclear power plants. UM. But far 406 00:22:31,000 --> 00:22:32,639 Speaker 1: be it from me to kind of comment on that. 407 00:22:32,720 --> 00:22:35,760 Speaker 1: I think what is sort of you know, being kind 408 00:22:35,800 --> 00:22:39,320 Speaker 1: of pushed under the rug is the replacement. Melussy Gegaba 409 00:22:39,560 --> 00:22:41,840 Speaker 1: was the former Home Affairs minister and she has very 410 00:22:41,840 --> 00:22:45,199 Speaker 1: little experience in finance. And so now it's about, you know, 411 00:22:45,240 --> 00:22:49,800 Speaker 1: the credibility of the South African government and of the 412 00:22:49,800 --> 00:22:53,040 Speaker 1: the finest ministry to you know, implement policy, you know, 413 00:22:53,119 --> 00:22:57,280 Speaker 1: Davy And I'm struck by this sort of divergence, divergence 414 00:22:57,400 --> 00:22:59,800 Speaker 1: in sentiment between what's going on right now in South 415 00:22:59,800 --> 00:23:04,520 Speaker 1: after Africa and the repercussions in the nation's securities, paired 416 00:23:04,520 --> 00:23:07,760 Speaker 1: with the incredible rush to emerging market stat which we've 417 00:23:07,760 --> 00:23:10,399 Speaker 1: seen pretty dramatically this year. It's been a record quarter 418 00:23:10,480 --> 00:23:14,720 Speaker 1: of issuance for emerging markets debt selling dollar bonds this quarter. 419 00:23:15,800 --> 00:23:17,359 Speaker 1: Can you square the two? I mean, our people just 420 00:23:17,440 --> 00:23:21,560 Speaker 1: overly exuberant right now. Um, well, yeah, March was a 421 00:23:21,560 --> 00:23:23,920 Speaker 1: blowout month. Um on the hard currency side. I think 422 00:23:23,920 --> 00:23:25,760 Speaker 1: you saw something on the order of ninety billion in 423 00:23:26,080 --> 00:23:29,040 Speaker 1: hard currency indexceligible new issues come to market. I mean 424 00:23:29,119 --> 00:23:32,520 Speaker 1: that is a record I think was the previous record. 425 00:23:33,000 --> 00:23:35,160 Speaker 1: But by and large, yeah, I mean it's just been 426 00:23:35,640 --> 00:23:38,760 Speaker 1: demand has been their risk sentiment is uh is on. 427 00:23:38,920 --> 00:23:41,760 Speaker 1: Animal spirits are are there, But is this gonna scare 428 00:23:41,760 --> 00:23:44,439 Speaker 1: it is this going to scare people away? Um, you know, 429 00:23:44,800 --> 00:23:47,520 Speaker 1: as SNP and the rating agencies take it, they give 430 00:23:47,560 --> 00:23:50,360 Speaker 1: it as well. Um, just this morning they upgraded Argentina 431 00:23:50,440 --> 00:23:52,600 Speaker 1: from B minus to single B. I think there's talk 432 00:23:52,640 --> 00:23:55,840 Speaker 1: now with tax amnesty that Indonesia's UM perhaps going to 433 00:23:55,920 --> 00:23:58,280 Speaker 1: be upgraded by SNP and the Nazi distant futures. So 434 00:23:58,760 --> 00:24:00,439 Speaker 1: you know, I think, you know, you out a kind 435 00:24:00,480 --> 00:24:04,720 Speaker 1: of um differentiate between certain countries where fundamentals are weakening 436 00:24:04,760 --> 00:24:07,280 Speaker 1: and others where they're improving. They mean, one of the 437 00:24:07,320 --> 00:24:09,879 Speaker 1: pictures that we look at is the bank stocks in 438 00:24:10,080 --> 00:24:14,639 Speaker 1: South Africa they got killed earlier today declined based on 439 00:24:14,720 --> 00:24:18,879 Speaker 1: this S and P global ratings cut. Is there a 440 00:24:18,920 --> 00:24:22,600 Speaker 1: bargain perhaps because I understand that the capital cushion that 441 00:24:22,680 --> 00:24:27,680 Speaker 1: the banks have is substantial. Well, the problem, I guess, um, 442 00:24:27,760 --> 00:24:29,960 Speaker 1: in terms of from a from a fixed income investor 443 00:24:30,520 --> 00:24:35,000 Speaker 1: standpoint is you just have to look back with African Bank, 444 00:24:35,240 --> 00:24:37,840 Speaker 1: which was, you know, one of the largest issuers of 445 00:24:37,880 --> 00:24:40,880 Speaker 1: credit to low and middle income households in South Africa, 446 00:24:40,920 --> 00:24:42,840 Speaker 1: and when they went bankrupt, that left a lot of 447 00:24:42,840 --> 00:24:44,760 Speaker 1: foreign investors with a bad taste in their mouth. I 448 00:24:44,800 --> 00:24:48,200 Speaker 1: think and so Standard Bank, ned Bank, Ran Merchant. I 449 00:24:48,240 --> 00:24:52,280 Speaker 1: mean they're all some wonderful, you know, very conservative, high, 450 00:24:52,720 --> 00:24:56,159 Speaker 1: highly regarded banks in South Africa and that sector. I 451 00:24:56,240 --> 00:24:58,920 Speaker 1: mean I haven't looked. I'm sure there is value there, um, 452 00:24:58,960 --> 00:25:03,080 Speaker 1: but you know, from a fundamental standpoint, you know, household 453 00:25:03,640 --> 00:25:06,680 Speaker 1: leverage has gone down, but public debt in South Africa 454 00:25:06,920 --> 00:25:08,960 Speaker 1: is at the highest point since the turn of the century. 455 00:25:08,960 --> 00:25:12,200 Speaker 1: It's fifty percent of GDP. So speaking about that, I mean, 456 00:25:12,400 --> 00:25:16,240 Speaker 1: is there a potential opportunity uh in South African local 457 00:25:16,280 --> 00:25:19,400 Speaker 1: currency debt with yields above nine point two percent that's 458 00:25:19,480 --> 00:25:24,199 Speaker 1: up from eight point five percent earlier in March. Um, Yeah, no, 459 00:25:24,320 --> 00:25:28,480 Speaker 1: so I mean yields have definitely um rocketed higher. Uh 460 00:25:28,520 --> 00:25:30,160 Speaker 1: you know the ten ure I think it's forty pct 461 00:25:30,200 --> 00:25:32,320 Speaker 1: over where it was just five trading days ago. It's 462 00:25:32,320 --> 00:25:34,639 Speaker 1: almost half a percentage point. Yeah, yeah, I mean at 463 00:25:34,640 --> 00:25:36,720 Speaker 1: almost nine percent, and I think at a touch nine 464 00:25:36,720 --> 00:25:40,120 Speaker 1: percent at some point. So, so certainly there was opportunity, 465 00:25:40,160 --> 00:25:43,240 Speaker 1: but not without its fair share of risk. Well that risk. 466 00:25:43,359 --> 00:25:46,640 Speaker 1: Also it should take into account what the gold industry, 467 00:25:46,680 --> 00:25:49,680 Speaker 1: because isn't that really what underpins South Africa's Uh, that 468 00:25:49,800 --> 00:25:53,600 Speaker 1: is an excellent point. The a a depreciating rand, which 469 00:25:53,600 --> 00:25:56,040 Speaker 1: is what we're seeing right now, is actually good for 470 00:25:56,080 --> 00:25:59,199 Speaker 1: South African mining companies, right because they export you know, 471 00:25:59,280 --> 00:26:02,840 Speaker 1: platinum dissold in dollars and their costs are in rand. 472 00:26:04,119 --> 00:26:06,919 Speaker 1: So you're talking about the many idiosyncratic stories. Are there 473 00:26:06,960 --> 00:26:09,679 Speaker 1: any other flashpoints for political risk that you're seeing right 474 00:26:09,720 --> 00:26:12,119 Speaker 1: now that you're kind of watching more closely in the 475 00:26:12,160 --> 00:26:16,320 Speaker 1: wake of South Africa's issues? So within South Africa, I 476 00:26:16,359 --> 00:26:18,440 Speaker 1: mean I think you I mean, my goodness, you've had 477 00:26:18,440 --> 00:26:21,320 Speaker 1: some of the large labor unions calling on Zooma to resign. Um, 478 00:26:21,400 --> 00:26:23,679 Speaker 1: you've had the former president you know, calling for that 479 00:26:23,720 --> 00:26:27,719 Speaker 1: as well. Um, you've got labor strikes, you've got power outages. Um, 480 00:26:27,760 --> 00:26:30,120 Speaker 1: you've got South African corporates which quite frankly or finding 481 00:26:30,119 --> 00:26:33,560 Speaker 1: more opportunities abroad just because the operating conditions locally are 482 00:26:33,560 --> 00:26:36,399 Speaker 1: so challenging. And so look, you know it's going to 483 00:26:36,480 --> 00:26:39,160 Speaker 1: take some time for you know, whoever is in power 484 00:26:39,160 --> 00:26:41,480 Speaker 1: to right the ship. And I think we have in December. Um. 485 00:26:41,520 --> 00:26:43,239 Speaker 1: I think that, in fact, is what zoom is kind 486 00:26:43,240 --> 00:26:46,280 Speaker 1: of priming for by sort of surrounding himself with people 487 00:26:46,320 --> 00:26:50,359 Speaker 1: that he trusts hence the outsting of Gordon. But yeah, 488 00:26:50,400 --> 00:26:51,960 Speaker 1: you know, we'll see, we'll see how things kind of 489 00:26:51,960 --> 00:26:53,600 Speaker 1: play through the end of the year. UM. The a 490 00:26:53,680 --> 00:26:56,440 Speaker 1: n C is not altogether happy with um where things 491 00:26:56,440 --> 00:26:58,240 Speaker 1: are at right now, though. I want to thank you 492 00:26:58,320 --> 00:27:00,600 Speaker 1: very much for spending time with us. Staying and Sassaur 493 00:27:00,840 --> 00:27:05,240 Speaker 1: is a fixed income strategist for Bloomberg Intelligence, providing a 494 00:27:05,359 --> 00:27:08,120 Speaker 1: unique in real time research and context for a variety 495 00:27:08,119 --> 00:27:11,840 Speaker 1: of industries, also markets and government factors that affect business. 496 00:27:17,680 --> 00:27:20,600 Speaker 1: Thanks for listening to the Bloomberg pen L podcast. You 497 00:27:20,600 --> 00:27:24,680 Speaker 1: can subscribe and listen to interviews at iTunes, SoundCloud, or 498 00:27:24,800 --> 00:27:28,880 Speaker 1: whatever podcast platform you prefer. I'm pim Fox. I'm out 499 00:27:28,880 --> 00:27:31,720 Speaker 1: there on Twitter at pim Fox. I'm out there on 500 00:27:31,760 --> 00:27:35,040 Speaker 1: Twitter at Lisa Abramo. It's one before the podcast. You 501 00:27:35,040 --> 00:27:37,680 Speaker 1: can always catch us worldwide on Bloomberg Radio.