1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penel Podcast. I'm Paul swing you. 2 00:00:05,360 --> 00:00:07,640 Speaker 1: Along with my co host Lisa Brahma Wicks. Each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money, whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,960 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:23,680 Speaker 1: at Bloomberg dot com. A big question in today's market, 8 00:00:23,760 --> 00:00:27,480 Speaker 1: how do you trade? By tweet? The question as markets 9 00:00:27,760 --> 00:00:31,080 Speaker 1: get Royal to buy a series of competing headlines, joining 10 00:00:31,160 --> 00:00:33,920 Speaker 1: us down to discuss Matt Mainly, managing director in equity 11 00:00:33,920 --> 00:00:36,839 Speaker 1: strategist at Miller, tay Back and Company. Matt, how do 12 00:00:36,880 --> 00:00:42,760 Speaker 1: you trade around? Tweets the very any Ey? That's for 13 00:00:42,840 --> 00:00:45,520 Speaker 1: darn sure. Uh. And it's it's, you know, they say, 14 00:00:45,600 --> 00:00:47,960 Speaker 1: trying to trade around in an investor around And of 15 00:00:47,960 --> 00:00:50,160 Speaker 1: course you got to keep that kind of longer term 16 00:00:51,040 --> 00:00:53,280 Speaker 1: view off things. But the one, the one thing that 17 00:00:53,400 --> 00:00:55,760 Speaker 1: concerns me a little bit about the the short term 18 00:00:55,880 --> 00:00:58,720 Speaker 1: or i say, over the next a month or two, 19 00:00:59,320 --> 00:01:03,200 Speaker 1: is the no matter what the president tweets, we have 20 00:01:03,320 --> 00:01:06,400 Speaker 1: more than just the trade issued it to face with 21 00:01:06,680 --> 00:01:09,280 Speaker 1: what's going on in Hong Kong. There's no question we're 22 00:01:09,280 --> 00:01:11,800 Speaker 1: also seeing a slowdown in the economy and and and 23 00:01:11,959 --> 00:01:15,040 Speaker 1: earnings growth. Uh. And you know, so there's several different 24 00:01:15,040 --> 00:01:18,200 Speaker 1: issues that UH creating a headwind for the market. And 25 00:01:18,200 --> 00:01:20,679 Speaker 1: you know, we're six six percent from the all time high, 26 00:01:20,720 --> 00:01:23,479 Speaker 1: which really isn't that much of a decline, uh, given 27 00:01:23,480 --> 00:01:25,520 Speaker 1: the the you know, the stretch valuations and stuff that 28 00:01:25,520 --> 00:01:28,520 Speaker 1: we saw before. So I don't think this trade issue 29 00:01:28,520 --> 00:01:30,800 Speaker 1: is gonna go away as it is. Uh. So I 30 00:01:30,800 --> 00:01:32,640 Speaker 1: think we probably have some more downside here, all right, 31 00:01:32,640 --> 00:01:35,880 Speaker 1: how much more downside? Well? But you know, it's funny, 32 00:01:35,880 --> 00:01:39,120 Speaker 1: given given what the uh's going on right now, I 33 00:01:39,120 --> 00:01:41,440 Speaker 1: could say, you know, she's a normal eight to ten 34 00:01:41,480 --> 00:01:44,240 Speaker 1: percent correction would be in the cards, and that would 35 00:01:44,280 --> 00:01:46,200 Speaker 1: not be a big deal. The one little problem we 36 00:01:46,240 --> 00:01:49,040 Speaker 1: do have, though, of course, is that today's mechanized tradings, 37 00:01:49,040 --> 00:01:51,440 Speaker 1: with all the high frequency traders and the al goes 38 00:01:51,520 --> 00:01:54,280 Speaker 1: and and things like that, that we tend to overshoot 39 00:01:54,760 --> 00:01:57,600 Speaker 1: when the month's momentum gets going in either direction. So 40 00:01:57,680 --> 00:02:00,000 Speaker 1: this could become more of a a tend of fifty 41 00:02:00,120 --> 00:02:04,800 Speaker 1: percent correction. UH. Again based on that kind of artificial movement. 42 00:02:04,920 --> 00:02:07,600 Speaker 1: All right, So let's cue the FED reaction function here 43 00:02:07,640 --> 00:02:10,720 Speaker 1: and wonder going forward how much the FED is going 44 00:02:10,760 --> 00:02:14,200 Speaker 1: to respond to a possible decline of ten in US 45 00:02:14,320 --> 00:02:18,600 Speaker 1: equities and whether it will matter. So what's your expectation there? Yeah, 46 00:02:18,680 --> 00:02:20,080 Speaker 1: I mean, it's one thing I've been saying for a 47 00:02:20,120 --> 00:02:22,400 Speaker 1: long time is that you know, the FED is definitely 48 00:02:22,639 --> 00:02:27,160 Speaker 1: data dependent and economically dependent, but they've also proven even 49 00:02:27,200 --> 00:02:29,200 Speaker 1: more so in the last few years or last year 50 00:02:29,240 --> 00:02:31,480 Speaker 1: or so, that there are a very market dependent So 51 00:02:31,520 --> 00:02:33,400 Speaker 1: I do think that will have an impact. Now if 52 00:02:33,400 --> 00:02:36,959 Speaker 1: we get that ten to fifteent correction, Uh, that will 53 00:02:37,000 --> 00:02:40,320 Speaker 1: I think get another two rate cuts this year instead 54 00:02:40,320 --> 00:02:42,920 Speaker 1: of just one. And if it gets even deeper than that, 55 00:02:42,960 --> 00:02:44,920 Speaker 1: if we see the same kind of a turmoil we 56 00:02:44,919 --> 00:02:47,680 Speaker 1: saw on the fourth quarter of last year, I think 57 00:02:47,680 --> 00:02:51,400 Speaker 1: there's a good chance that they could reignite a que program. Wow, 58 00:02:51,520 --> 00:02:55,560 Speaker 1: reignite a qui program as soon as this year. I mean, 59 00:02:56,440 --> 00:03:00,440 Speaker 1: by early next year, if we think things become bad. 60 00:03:00,760 --> 00:03:02,200 Speaker 1: I think that's a good chance of that. But to 61 00:03:02,240 --> 00:03:03,960 Speaker 1: what end, right, I mean, we're looking at thirty year 62 00:03:04,000 --> 00:03:07,440 Speaker 1: treasury yields that are all time lows, benchmark yields around 63 00:03:07,440 --> 00:03:10,080 Speaker 1: the board are pretty low. What's the goal here? How 64 00:03:10,160 --> 00:03:14,280 Speaker 1: much is that going to actually ignite growth? Well, I mean, 65 00:03:14,440 --> 00:03:17,840 Speaker 1: as UH as we always us. As a strategist, I 66 00:03:17,880 --> 00:03:20,880 Speaker 1: gotta sit there and say, oh, what what should distinguish 67 00:03:20,960 --> 00:03:22,639 Speaker 1: between what they should do and what they will do? 68 00:03:22,840 --> 00:03:24,760 Speaker 1: So what I've just described as what I think they 69 00:03:24,760 --> 00:03:26,560 Speaker 1: will do, should they do it, I don't know what 70 00:03:26,600 --> 00:03:28,680 Speaker 1: what kind of end that kind of brings it brings in. 71 00:03:28,760 --> 00:03:32,760 Speaker 1: I mean to me, bear markets and and and recessions, 72 00:03:32,880 --> 00:03:35,360 Speaker 1: especially the normal ones we have. But everybody's afraid that 73 00:03:35,400 --> 00:03:37,880 Speaker 1: the last two were so bad that gosh, we're gonna 74 00:03:37,920 --> 00:03:41,680 Speaker 1: have another fift a bearn market. Well, usually they're mild 75 00:03:41,720 --> 00:03:46,200 Speaker 1: recessions in twenty bearer markets, they're normal. Those things are healthy. 76 00:03:46,520 --> 00:03:49,200 Speaker 1: Why the fed fields that we can't go have one 77 00:03:49,240 --> 00:03:52,280 Speaker 1: of those is beyond me. I think would be healthy 78 00:03:52,320 --> 00:03:54,400 Speaker 1: if we did that. However, I do think that they 79 00:03:54,640 --> 00:03:57,720 Speaker 1: do feel it's important to keep the this uh expansion going, 80 00:03:57,760 --> 00:03:59,360 Speaker 1: and that's why I think that's what they'll do. All right, 81 00:03:59,360 --> 00:04:02,520 Speaker 1: So I'm gonna talk stical perspective. Which equity index has 82 00:04:02,560 --> 00:04:05,760 Speaker 1: the most upside of the most downside? Well, the one thing, 83 00:04:05,920 --> 00:04:08,160 Speaker 1: the one I'm watching the most closely right now. You know, 84 00:04:08,320 --> 00:04:11,040 Speaker 1: Dave Wilson just talked about it was the Russell two thousand. Uh. 85 00:04:11,160 --> 00:04:13,440 Speaker 1: You know, it's been an important leading indicator for the 86 00:04:13,480 --> 00:04:16,760 Speaker 1: stock market, uh for you know, for many years, but 87 00:04:16,839 --> 00:04:18,840 Speaker 1: even especially last year, and we saw it it turned 88 00:04:18,839 --> 00:04:21,200 Speaker 1: down before the rest of the market did before you 89 00:04:21,400 --> 00:04:23,600 Speaker 1: that in that fourth quarter of correction. Uh. So what 90 00:04:23,720 --> 00:04:26,520 Speaker 1: I'll be looking for is, right now it's testing it's 91 00:04:26,640 --> 00:04:29,920 Speaker 1: June lows, uh, and so any further downside from there 92 00:04:30,360 --> 00:04:32,840 Speaker 1: will give it a key lower low and probably indicate 93 00:04:32,880 --> 00:04:34,640 Speaker 1: that the rest of the markets heading a little bit 94 00:04:34,720 --> 00:04:36,840 Speaker 1: lower as well. You know, as I said, into that 95 00:04:36,880 --> 00:04:41,040 Speaker 1: tent to percent correction territory, and uh, the Russell tends 96 00:04:41,080 --> 00:04:43,400 Speaker 1: to uh see a bit of a wider, wider swings. 97 00:04:43,440 --> 00:04:45,280 Speaker 1: So I think that's probably got more downside than than 98 00:04:45,360 --> 00:04:49,000 Speaker 1: the SMP. And which industry do you think, which sector 99 00:04:49,200 --> 00:04:51,080 Speaker 1: of the market do you think is is poised to 100 00:04:51,640 --> 00:04:55,440 Speaker 1: uh most underperform going forward? Well, it's uh, I'm afraid 101 00:04:55,440 --> 00:04:57,000 Speaker 1: it's gonna have to be. You know, there's some of 102 00:04:57,080 --> 00:04:59,640 Speaker 1: the chip stocks and the semiconductor I'm sorry in the 103 00:04:59,680 --> 00:05:02,920 Speaker 1: text box. Overall, Uh, they've had the biggest move, uh, 104 00:05:03,400 --> 00:05:05,480 Speaker 1: you know, and therefore they probably give us the biggest 105 00:05:05,520 --> 00:05:08,120 Speaker 1: down side. Again, I'm not certainly not calling for what 106 00:05:08,200 --> 00:05:11,160 Speaker 1: we saw in two thousand or anything like that. In fact, 107 00:05:11,200 --> 00:05:14,000 Speaker 1: I think this will present some great opportunities. And if 108 00:05:14,040 --> 00:05:17,600 Speaker 1: the Fed does indeed step back on the accelerator, Uh, 109 00:05:17,680 --> 00:05:19,960 Speaker 1: if people have a little extra cashiy on the sidelines 110 00:05:20,160 --> 00:05:23,320 Speaker 1: that they raised now to take advantage of an overshoot 111 00:05:23,320 --> 00:05:26,800 Speaker 1: to the downside, UH, they're gonna be Uh. They're gonna 112 00:05:26,800 --> 00:05:31,040 Speaker 1: profit very well in next year the longer term. Matt Maylie, 113 00:05:31,080 --> 00:05:33,080 Speaker 1: thank you so much for being with us. Matt Maylee 114 00:05:33,160 --> 00:05:35,839 Speaker 1: is managing director and equity strategist at Miller take Back 115 00:05:36,000 --> 00:05:39,640 Speaker 1: and Company. Taking a look at how technical indicators point 116 00:05:39,680 --> 00:05:56,440 Speaker 1: to further downside ahead. Question Walmart shares surging even after 117 00:05:56,760 --> 00:06:00,839 Speaker 1: Macie's came out with worse than expected results. Looking around, 118 00:06:01,120 --> 00:06:04,359 Speaker 1: what is the state of the US consumer? How are 119 00:06:04,480 --> 00:06:06,800 Speaker 1: retailers faring? We are so lucky to have with us. 120 00:06:06,839 --> 00:06:10,280 Speaker 1: Bert flicking Jar, managing director at Strategic Resource Group, joining 121 00:06:10,360 --> 00:06:12,560 Speaker 1: us here in our interactive broker studios. Let's start with 122 00:06:12,640 --> 00:06:16,320 Speaker 1: Walmart shares jumping the most in a year. UH. Solid 123 00:06:16,400 --> 00:06:19,800 Speaker 1: growth in their e commerce business, solid growth when it 124 00:06:19,880 --> 00:06:24,000 Speaker 1: comes to consumers not seeing a huge impact by tariffs. 125 00:06:24,080 --> 00:06:26,160 Speaker 1: Give us your sense, what's the most important thing we 126 00:06:26,240 --> 00:06:28,840 Speaker 1: need to focus on in these earnings. Most important thing, 127 00:06:29,000 --> 00:06:32,680 Speaker 1: Lisa is Walmart has the best CEO anywhere in worldwide 128 00:06:32,760 --> 00:06:36,080 Speaker 1: retail and the best leadership team since Sam Walton started 129 00:06:36,120 --> 00:06:42,080 Speaker 1: the company and ran it from so in that Doug 130 00:06:42,200 --> 00:06:45,800 Speaker 1: McMillan believes in doing doing what's right. So, for example, 131 00:06:46,160 --> 00:06:51,480 Speaker 1: in solar sustainability, environmental Walmart wasn't there under prior leadership. 132 00:06:51,800 --> 00:06:55,720 Speaker 1: Walmart is up there with Amazon and Target as being 133 00:06:56,040 --> 00:06:58,960 Speaker 1: the best in solar power. What's the implication for the 134 00:06:59,040 --> 00:07:01,840 Speaker 1: consumer and the comp penny is Walmart's able to pay 135 00:07:01,960 --> 00:07:06,719 Speaker 1: higher prices, higher wages to its workers through the savings 136 00:07:06,800 --> 00:07:09,840 Speaker 1: and the money it's making through environmental and sustainable solar 137 00:07:10,080 --> 00:07:13,760 Speaker 1: and lowering prices to shoppers. Everybody's winning. Let's let's dig 138 00:07:13,800 --> 00:07:17,480 Speaker 1: a little bit further into salaries or wages, you know, 139 00:07:17,600 --> 00:07:20,080 Speaker 1: hourly wages. Walmart has come under a lot of attack 140 00:07:20,200 --> 00:07:23,320 Speaker 1: traditionally for not paying people that much or having people 141 00:07:23,360 --> 00:07:24,960 Speaker 1: on in a part time basis so they don't have 142 00:07:25,040 --> 00:07:28,520 Speaker 1: to pay them benefits. Uh, there have been a salary 143 00:07:28,840 --> 00:07:32,880 Speaker 1: increases or wage increases, hourly wage increases. How has that 144 00:07:33,000 --> 00:07:36,720 Speaker 1: affected their business? It's affected the business in terms of 145 00:07:37,080 --> 00:07:43,280 Speaker 1: higher workers satisfaction, higher productivity, higher retention, greater consumer satisfaction 146 00:07:43,400 --> 00:07:47,920 Speaker 1: scores through consumer reports, dot Com, etcetera. So Walmart that 147 00:07:48,080 --> 00:07:51,960 Speaker 1: was criticized for raising prices because Mr Sam or Sam Walton, 148 00:07:52,000 --> 00:07:55,240 Speaker 1: the founder wrote in his book My Story, he always 149 00:07:55,280 --> 00:07:58,320 Speaker 1: paid workers as little as they could. His son on 150 00:07:58,440 --> 00:08:01,800 Speaker 1: the four anniversary of the Walmart profit sharing plan, blew 151 00:08:01,920 --> 00:08:05,240 Speaker 1: up the plan, and Doug McMillan was for the last 152 00:08:05,320 --> 00:08:10,080 Speaker 1: five years record comparison and same store sales since he 153 00:08:10,240 --> 00:08:13,160 Speaker 1: started because he believes in doing what's right for the worker, 154 00:08:13,480 --> 00:08:16,040 Speaker 1: which is right for the shopper and right for the community. 155 00:08:16,240 --> 00:08:18,760 Speaker 1: And has there been a less political pressure on Walmart 156 00:08:18,840 --> 00:08:23,320 Speaker 1: as a result, there's been less political power. McMillan, who's 157 00:08:23,400 --> 00:08:27,840 Speaker 1: this son of a Vietnam veteran army doctor, took it 158 00:08:27,960 --> 00:08:34,199 Speaker 1: upon himself to discontinue automatic and semi automatic weapons years ago. So, 159 00:08:34,320 --> 00:08:39,280 Speaker 1: in addition to solar sustainability, discontinuing merchandise with the Confederate flag, 160 00:08:39,880 --> 00:08:43,520 Speaker 1: and raising shoppers standards of living through the lowest prices 161 00:08:43,600 --> 00:08:47,520 Speaker 1: Walmart's had in ten years and establishing co low price 162 00:08:47,640 --> 00:08:51,920 Speaker 1: leadership with Winco lowest in the US. Walmart's winning for 163 00:08:52,000 --> 00:08:56,200 Speaker 1: the worker, the shopper and really helping to drive the economy. 164 00:08:56,240 --> 00:08:58,520 Speaker 1: In the stock market today, as you said, Walmart's up 165 00:08:58,559 --> 00:09:02,000 Speaker 1: almost five pc, the S and P Retail Index, the 166 00:09:02,240 --> 00:09:05,040 Speaker 1: x RT on the Bloomberg's down almost one percent. So 167 00:09:05,160 --> 00:09:09,280 Speaker 1: Walmart's really breaking through very clearly. The Walmart earnings inspired 168 00:09:09,320 --> 00:09:11,920 Speaker 1: you on multiple levels. Let's move on to something that 169 00:09:12,240 --> 00:09:14,280 Speaker 1: maybe a little less inspiring, but at least isn't as 170 00:09:14,320 --> 00:09:16,280 Speaker 1: bad as some people have been expecting. We're talking j C. 171 00:09:16,400 --> 00:09:20,320 Speaker 1: Penny came out with less bad results than people hadn't 172 00:09:20,320 --> 00:09:23,360 Speaker 1: been expecting. What stands out to you, Lisa's you've reported 173 00:09:23,400 --> 00:09:27,160 Speaker 1: well for a long time is Penny's major debt maturities 174 00:09:27,520 --> 00:09:32,679 Speaker 1: come up in three Penny has dynamic new leadership. If 175 00:09:32,720 --> 00:09:36,000 Speaker 1: they get enough time and financial forbearance, they can turn 176 00:09:36,080 --> 00:09:40,640 Speaker 1: the company around. But with declining earnings and same store sales, 177 00:09:40,960 --> 00:09:43,480 Speaker 1: they really have to do it between the fourth quarter 178 00:09:43,960 --> 00:09:47,480 Speaker 1: and into the next fiscal years, you've reported because the 179 00:09:47,600 --> 00:09:51,439 Speaker 1: debt covenants and credit lines and terms could be tightened otherwise. Yeah, 180 00:09:51,520 --> 00:09:53,720 Speaker 1: it really remains to be seen whether they'll be patients 181 00:09:53,760 --> 00:09:56,280 Speaker 1: among bond investors when it comes to this name, I 182 00:09:56,320 --> 00:09:59,160 Speaker 1: want to broaden out generally to see what all of 183 00:09:59,240 --> 00:10:02,760 Speaker 1: the earnings and the economic data means about the US consumer. 184 00:10:03,120 --> 00:10:05,960 Speaker 1: Time again, economists come out, they say businesses are pulling 185 00:10:05,960 --> 00:10:08,160 Speaker 1: back their spending, but still the U s consumer is 186 00:10:08,200 --> 00:10:12,040 Speaker 1: in a good state, solid continues to spend. The retail 187 00:10:12,080 --> 00:10:15,199 Speaker 1: sales figures better than expected. Do you think that this 188 00:10:15,360 --> 00:10:19,199 Speaker 1: is sort of lagging lagging indicator that will slow down 189 00:10:19,360 --> 00:10:20,760 Speaker 1: based on what we're seeing, or do you think that 190 00:10:20,840 --> 00:10:23,839 Speaker 1: this is an accurate read of where we're at. It's bifurcated. 191 00:10:23,920 --> 00:10:27,960 Speaker 1: Is you reference Macy's department and specialty stores all struggling. 192 00:10:28,040 --> 00:10:31,640 Speaker 1: What we're seeing is that combat denominator. All the retailers 193 00:10:31,679 --> 00:10:35,080 Speaker 1: are winning or low price t j X, Amazon, all 194 00:10:35,200 --> 00:10:38,920 Speaker 1: the Walmart target, b J's costco, and they're all using 195 00:10:39,040 --> 00:10:43,040 Speaker 1: solar to pay more in terms of worker compensation and 196 00:10:43,120 --> 00:10:46,640 Speaker 1: lower prices. So with the lower prices they profitably increased 197 00:10:46,679 --> 00:10:50,240 Speaker 1: market share, while the twentieth century proverbial Roman empires of 198 00:10:50,280 --> 00:10:53,080 Speaker 1: retail are crumbling. So what does that mean? I mean 199 00:10:53,120 --> 00:10:56,959 Speaker 1: if if if the low cost retailers are doing best. 200 00:10:57,600 --> 00:11:01,520 Speaker 1: Is that bearished? Does that mean at the consumer isn't 201 00:11:01,559 --> 00:11:04,720 Speaker 1: doing that well because they gravitating to the lowest price items, 202 00:11:04,840 --> 00:11:07,440 Speaker 1: or does it mean that people just simply can compare 203 00:11:07,480 --> 00:11:10,200 Speaker 1: prices and want a go deal. It's your referencing, Lisa, 204 00:11:10,280 --> 00:11:13,920 Speaker 1: consumers can compare prices. But as you've reported this week 205 00:11:14,040 --> 00:11:18,319 Speaker 1: and on on the Bloombergh debt for seniors between the 206 00:11:18,360 --> 00:11:22,839 Speaker 1: ages of fifty to seventy of increased seventy to UH 207 00:11:23,000 --> 00:11:25,679 Speaker 1: and as a result, those are the sweet spot for 208 00:11:25,760 --> 00:11:29,240 Speaker 1: the department stores. So they're really careful in terms of spending. 209 00:11:29,320 --> 00:11:31,319 Speaker 1: So instead of going to the department store, they go 210 00:11:31,440 --> 00:11:35,600 Speaker 1: to Burlington, t J Max, Marshalls. And consumers, as you said, 211 00:11:35,679 --> 00:11:39,320 Speaker 1: so well, whether it's price discovery, whether it's Walmart, dot Com, 212 00:11:39,679 --> 00:11:43,079 Speaker 1: Amazon or Ali Baba are getting the lowest prices and 213 00:11:43,520 --> 00:11:46,560 Speaker 1: buying online or buying off price. So when we talk 214 00:11:46,559 --> 00:11:48,839 Speaker 1: about Walmart, we have to look ahead to Target. To 215 00:11:49,240 --> 00:11:52,880 Speaker 1: Target used to be called TARJ by some because it 216 00:11:53,040 --> 00:11:58,079 Speaker 1: caters to a little bit higher end consumer than Walmart. 217 00:11:58,200 --> 00:12:01,439 Speaker 1: So there seems to be a battle forest between Walmart 218 00:12:01,480 --> 00:12:05,520 Speaker 1: and Target. Who's winning? Uh, Walmart's winning, but there's an 219 00:12:05,520 --> 00:12:08,599 Speaker 1: opportunity for both Target and Walmart with the liquidation of 220 00:12:09,120 --> 00:12:14,280 Speaker 1: toys are us is that they both have much more 221 00:12:14,480 --> 00:12:18,439 Speaker 1: room and should have more space for selling toys as 222 00:12:18,480 --> 00:12:21,720 Speaker 1: well as with a record number of rescue pets, puppies 223 00:12:21,800 --> 00:12:25,080 Speaker 1: and cats being adopted UH growing two to three times 224 00:12:25,160 --> 00:12:28,080 Speaker 1: more than the birth rate for children in the US. UH, 225 00:12:28,280 --> 00:12:31,120 Speaker 1: pet toys and accessories are going up. In the common 226 00:12:31,160 --> 00:12:35,720 Speaker 1: denominatory they both have is solar, their thirty nuclear plants 227 00:12:35,760 --> 00:12:39,040 Speaker 1: being decommissioned, and even more coal. So they're locking in 228 00:12:39,160 --> 00:12:42,600 Speaker 1: their power rates number two operating costs at half at 229 00:12:42,640 --> 00:12:46,600 Speaker 1: the price for the next twenty years and pouring those 230 00:12:46,720 --> 00:12:50,800 Speaker 1: savings back back into the shopper and their stores and innovation, 231 00:12:50,920 --> 00:12:54,199 Speaker 1: while the rest of retails like Fred flint Stone and 232 00:12:54,400 --> 00:12:57,000 Speaker 1: Slate Rock Quarry just watching the world go by. I 233 00:12:57,120 --> 00:12:59,199 Speaker 1: think it won't change, so just quickly here to tie 234 00:12:59,240 --> 00:13:01,679 Speaker 1: this all together and put a bow on it. I'm wondering, 235 00:13:01,800 --> 00:13:03,439 Speaker 1: taking a look at the earnings we've gotten out of 236 00:13:03,440 --> 00:13:06,160 Speaker 1: the retail sector so far, the retail economic data that 237 00:13:06,200 --> 00:13:09,160 Speaker 1: we got out this morning, how would you characterize the 238 00:13:09,200 --> 00:13:12,040 Speaker 1: state of the U s consumer? UH Dick and Esque 239 00:13:12,080 --> 00:13:14,240 Speaker 1: best of times and worst of times from tail of 240 00:13:14,280 --> 00:13:18,880 Speaker 1: two cities. Best of times Walmart, Target Costco, all the 241 00:13:19,800 --> 00:13:23,480 Speaker 1: t j Ax, Burlington, the off price linked retailers. Worst 242 00:13:23,520 --> 00:13:26,680 Speaker 1: of times for the department stores, food stores, drug stores 243 00:13:26,720 --> 00:13:29,800 Speaker 1: and specialty stores. Burke Flickinger always wonderful having you. Thank 244 00:13:29,840 --> 00:13:32,080 Speaker 1: you great to team up. Please thank you for Flickinger, 245 00:13:32,160 --> 00:13:34,880 Speaker 1: Managing director at Strategic Resource Group, joining us here in 246 00:13:34,960 --> 00:13:39,160 Speaker 1: our Bloomberg Interactive Broker studio is taking a look at Walmart. 247 00:13:50,480 --> 00:13:53,559 Speaker 1: It may become the biggest initial public offering in the 248 00:13:53,640 --> 00:13:58,600 Speaker 1: chemicals space. China National Chemical is looking to potentially spinoffs 249 00:13:58,679 --> 00:14:01,920 Speaker 1: in Genta. Uh in it with a listing here to 250 00:14:02,040 --> 00:14:05,920 Speaker 1: discuss what this could mean. Why now? Jason Miner, Senior 251 00:14:05,960 --> 00:14:09,880 Speaker 1: Global Coupicals analysts for Bloomberg Intelligence. So, Jason, China National 252 00:14:09,960 --> 00:14:14,200 Speaker 1: Chemical Corporation purchased in Genta back in seen. Why are 253 00:14:14,240 --> 00:14:17,599 Speaker 1: they doing this now? Well, the timing is key. So 254 00:14:17,720 --> 00:14:20,760 Speaker 1: remember where this is a market that hasn't grown much 255 00:14:21,040 --> 00:14:23,400 Speaker 1: over the last few years, which led to all the restruction. 256 00:14:23,480 --> 00:14:26,680 Speaker 1: We had down DuPont merge and put together Cortiva, which 257 00:14:26,720 --> 00:14:29,040 Speaker 1: is one of the big competitors Buyer mon Santo and 258 00:14:29,160 --> 00:14:31,680 Speaker 1: we all know there have been some challenges there. Uh, 259 00:14:31,760 --> 00:14:33,880 Speaker 1: and then this year we had a massive amount of flooding. 260 00:14:33,960 --> 00:14:36,680 Speaker 1: I think they're looking for a chance to bring this 261 00:14:36,840 --> 00:14:39,440 Speaker 1: out into the capital markets, and when they time it, 262 00:14:39,520 --> 00:14:41,720 Speaker 1: they'll have to play around with when they might get 263 00:14:41,760 --> 00:14:45,320 Speaker 1: a rebound. So with corn prices below five, well below 264 00:14:45,360 --> 00:14:48,000 Speaker 1: five dollars and playing with four dollars today, those kind 265 00:14:48,040 --> 00:14:50,280 Speaker 1: of heady earnings growth days of the past have been 266 00:14:50,840 --> 00:14:53,280 Speaker 1: a long forgotten memory for a while. Clearly there's some 267 00:14:53,400 --> 00:14:56,360 Speaker 1: capital to come from the market for an interesting idea 268 00:14:56,440 --> 00:14:58,880 Speaker 1: like this um, but timing it has to do with 269 00:14:58,920 --> 00:15:00,560 Speaker 1: when we could get a bounce from what's been a 270 00:15:00,640 --> 00:15:03,560 Speaker 1: tough time. So we're talking about pesticides, right, We're talking 271 00:15:03,600 --> 00:15:05,680 Speaker 1: about both pesticides and seeds, and that's sort of the 272 00:15:05,720 --> 00:15:08,240 Speaker 1: interesting thing. You used to have one company makes seeds 273 00:15:08,280 --> 00:15:10,280 Speaker 1: and the other make the pesticides. And over the last 274 00:15:10,360 --> 00:15:14,040 Speaker 1: few years we created these three new bundles. The Cyngenta 275 00:15:14,200 --> 00:15:16,480 Speaker 1: KEM China story is one where we put it all together. 276 00:15:16,560 --> 00:15:19,800 Speaker 1: No one's ever proved that that actually works very well. Uh. 277 00:15:19,920 --> 00:15:22,840 Speaker 1: So these new pesticide and seed companies, there are really 278 00:15:23,000 --> 00:15:25,680 Speaker 1: three of them globally. Uh. They're all trying to find 279 00:15:25,720 --> 00:15:29,040 Speaker 1: their way forward. Uh, sort of an unproven model. What's 280 00:15:29,080 --> 00:15:31,560 Speaker 1: the what's the theory behind some of these tie ups 281 00:15:31,680 --> 00:15:34,200 Speaker 1: and sort of Uh some of the speculation about why 282 00:15:34,280 --> 00:15:37,080 Speaker 1: it might not work well. The theory is the one 283 00:15:37,160 --> 00:15:41,120 Speaker 1: stop shop. Actually, Um, you used to have a bunch 284 00:15:41,160 --> 00:15:43,160 Speaker 1: of people visiting the farmers. Some of them are selling 285 00:15:43,200 --> 00:15:45,880 Speaker 1: them seed and some of them are selling them spray. Uh. 286 00:15:46,040 --> 00:15:49,120 Speaker 1: The idea is under pressure and with a lot more 287 00:15:49,200 --> 00:15:51,760 Speaker 1: digital tools coming to the market, that you really want 288 00:15:51,760 --> 00:15:54,000 Speaker 1: to circle that farmer and offer them an app they 289 00:15:54,040 --> 00:15:56,880 Speaker 1: can put on their tablet that recommends all sorts of 290 00:15:56,960 --> 00:16:01,400 Speaker 1: things from the seed to the spray. The challenges doesn't 291 00:16:01,480 --> 00:16:04,960 Speaker 1: hurt innovation because, um, you're not necessary. You don't necessarily 292 00:16:05,040 --> 00:16:07,160 Speaker 1: want one company who thinks of the app and the 293 00:16:07,240 --> 00:16:10,280 Speaker 1: seed and the spray when deciding what to commercialize. More 294 00:16:10,360 --> 00:16:13,600 Speaker 1: competition might bring more innovation. That's the concern now. When 295 00:16:13,640 --> 00:16:17,680 Speaker 1: it comes to China National Chemical Corporation, its purchase of 296 00:16:17,800 --> 00:16:20,440 Speaker 1: c Genta was one of the biggest by a Chinese 297 00:16:20,480 --> 00:16:24,680 Speaker 1: company of an overseas of an overseas firm in history. 298 00:16:25,040 --> 00:16:28,960 Speaker 1: I'm trying to understand whether this was part of their playbook, 299 00:16:29,040 --> 00:16:31,640 Speaker 1: part of their mindset when they bought c Genta that 300 00:16:31,680 --> 00:16:34,080 Speaker 1: they were going to list it at some point in 301 00:16:34,120 --> 00:16:36,840 Speaker 1: the not so distant future. So they had said that 302 00:16:37,480 --> 00:16:39,800 Speaker 1: in the past, and I think the challenges a lot 303 00:16:39,880 --> 00:16:41,480 Speaker 1: of it has to be seen through the lens of 304 00:16:41,560 --> 00:16:44,840 Speaker 1: food security. China's crop yields are in many cases half 305 00:16:44,920 --> 00:16:47,720 Speaker 1: those of the rest of the world, and biotechnology, of 306 00:16:47,760 --> 00:16:51,120 Speaker 1: which Centa was just one of three global platforms, is 307 00:16:51,200 --> 00:16:54,880 Speaker 1: a key way to boost food security UH and to 308 00:16:55,000 --> 00:16:58,080 Speaker 1: boost those yields UM. The challenge with the idea of 309 00:16:58,120 --> 00:17:01,880 Speaker 1: the I p O. It does international legitimacy, it creates 310 00:17:01,960 --> 00:17:05,760 Speaker 1: confidence from the buyer's and Genta's footprint is obviously far 311 00:17:05,880 --> 00:17:07,960 Speaker 1: outside of China. They've got a lot of sales in 312 00:17:08,040 --> 00:17:10,919 Speaker 1: a lot of countries. UH. It certainly raises some capital 313 00:17:11,000 --> 00:17:13,919 Speaker 1: to pay back UM the way that they funded it UM, 314 00:17:14,000 --> 00:17:16,600 Speaker 1: but whether or not it's all about earnings growth is 315 00:17:16,680 --> 00:17:18,879 Speaker 1: the challenge, because again, part of the play here was 316 00:17:19,040 --> 00:17:21,760 Speaker 1: probably to help China boost its food security.