1 00:00:03,120 --> 00:00:07,440 Speaker 1: Broadcasting live to New York, Bloomberg eleventh Rio to Washington, 2 00:00:07,520 --> 00:00:12,520 Speaker 1: d C, Bloomberg to Boston, Bloomberg twelve hundreds to San Francisco, 3 00:00:12,640 --> 00:00:17,079 Speaker 1: Bloomberg n to the Country six Channel one nine and 4 00:00:17,239 --> 00:00:21,120 Speaker 1: around the globe the Bloomberg Radio plus Bloomberg dot Com. 5 00:00:21,280 --> 00:00:25,240 Speaker 1: This is Bloomberg Surveillance. Good morning, It is a thirty 6 00:00:25,239 --> 00:00:27,920 Speaker 1: on Wall Street. I Michael McKay along with Tom Keane. 7 00:00:28,520 --> 00:00:31,520 Speaker 1: He can have a indicators spot you by Commonwealth Financial Network. 8 00:00:31,520 --> 00:00:33,640 Speaker 1: When it's time to change the conversation talk with a 9 00:00:33,680 --> 00:00:35,920 Speaker 1: broker dealer r I A that's ready to listen to 10 00:00:35,960 --> 00:00:38,800 Speaker 1: college six for six two three eight or is it 11 00:00:38,880 --> 00:00:42,840 Speaker 1: Commonwealth dot com to learn more? No major an iomic 12 00:00:42,880 --> 00:00:46,199 Speaker 1: indicators today at ten o'clock. The labor market conditions in 13 00:00:46,280 --> 00:00:49,840 Speaker 1: next Jennet Ellen's various things she looks at market still 14 00:00:49,920 --> 00:00:52,120 Speaker 1: pay a whole lot of attention to that supposed to 15 00:00:52,159 --> 00:00:55,080 Speaker 1: improve a little bit. We did have Charlie Evans of 16 00:00:55,120 --> 00:00:58,280 Speaker 1: the Chicago Fed speaking on the economy earlier today on 17 00:00:58,320 --> 00:01:03,280 Speaker 1: a panel with our friends. Seen Lacroix out in jolly London, 18 00:01:04,040 --> 00:01:08,000 Speaker 1: jolly old England. He suggested that he's not ruling out 19 00:01:08,080 --> 00:01:10,800 Speaker 1: June either, that seems to be the question what will 20 00:01:10,840 --> 00:01:14,600 Speaker 1: the numbers say by then? Big number of the week 21 00:01:14,880 --> 00:01:18,640 Speaker 1: for US TOM is retail sales. On Friday, we get 22 00:01:19,560 --> 00:01:22,760 Speaker 1: the report on whether or not Americans are spending and 23 00:01:23,040 --> 00:01:26,080 Speaker 1: the forecast is for a rather large increase eight tenths 24 00:01:26,120 --> 00:01:28,720 Speaker 1: of a percent and the control group of three tents 25 00:01:28,720 --> 00:01:31,040 Speaker 1: of eight percent. And that would be taken certainly as 26 00:01:31,600 --> 00:01:35,840 Speaker 1: good news by the markets, and uh, good news perhaps 27 00:01:36,120 --> 00:01:39,759 Speaker 1: for those who think the Fed may actually go Will 28 00:01:39,840 --> 00:01:43,039 Speaker 1: we get that? Well, let's ask Oliver chen He is 29 00:01:43,160 --> 00:01:47,520 Speaker 1: a senior equity analyst for Research at Cowen and Company. 30 00:01:47,640 --> 00:01:54,560 Speaker 1: Following the retailers, Oliver, the consumer has been the one 31 00:01:55,520 --> 00:02:00,520 Speaker 1: keeping the economy afloat lately. Is that continuing here into 32 00:02:00,640 --> 00:02:04,160 Speaker 1: the second quarter. The chain store sales numbers weren't all 33 00:02:04,200 --> 00:02:07,960 Speaker 1: that impressive last week, But overall, what's it look like? 34 00:02:08,919 --> 00:02:11,960 Speaker 1: We are we are cautiously optimistic, I would say, Um, 35 00:02:11,960 --> 00:02:15,160 Speaker 1: what we do like is the middle to lower income consumer. 36 00:02:15,480 --> 00:02:18,560 Speaker 1: We think they're benefiting from lower unemployment as low as 37 00:02:18,560 --> 00:02:22,160 Speaker 1: well as gas lower gas prices. Who were more cautious 38 00:02:22,240 --> 00:02:25,280 Speaker 1: on the the higher end consumer just because of the 39 00:02:25,360 --> 00:02:28,880 Speaker 1: stronger dollar, the negative effect from the wealth effect and 40 00:02:28,919 --> 00:02:31,640 Speaker 1: the S and P volatility. I would also speak to 41 00:02:31,720 --> 00:02:36,880 Speaker 1: subsectors were concerned about apparel, the continuation of the rise 42 00:02:36,919 --> 00:02:40,480 Speaker 1: of fast fashion as well as primark. UH continues to 43 00:02:40,520 --> 00:02:43,240 Speaker 1: weigh on apparel as well as lack of fashion trends. 44 00:02:43,280 --> 00:02:45,840 Speaker 1: So I think you have to think about where the 45 00:02:45,960 --> 00:02:49,160 Speaker 1: consumer fits in in terms of middle income and lower 46 00:02:49,200 --> 00:02:53,839 Speaker 1: income being stronger, and then also speaking to categories. Categories 47 00:02:53,880 --> 00:02:58,480 Speaker 1: matter as well. So that's interesting. The middle and lower income. 48 00:02:58,520 --> 00:03:01,799 Speaker 1: I mean, they're the angry people who aren't getting a 49 00:03:01,880 --> 00:03:05,440 Speaker 1: hit in life, according to certain presidential candidates, but now 50 00:03:05,440 --> 00:03:09,080 Speaker 1: they're spending more money. Where's the money coming from? Is 51 00:03:09,080 --> 00:03:11,920 Speaker 1: it the gasoline price dividend? Or are they finally getting 52 00:03:12,000 --> 00:03:15,399 Speaker 1: raises a little bit of both. I mean, we've seen 53 00:03:15,440 --> 00:03:20,079 Speaker 1: a lot of employers raise their wages as well, UM, 54 00:03:20,160 --> 00:03:23,679 Speaker 1: so that indicates to us that there's an environment there 55 00:03:23,720 --> 00:03:27,040 Speaker 1: where there there's a competition for labor at the at 56 00:03:27,040 --> 00:03:30,360 Speaker 1: the lower end. So I think you have, UM, you know, 57 00:03:30,440 --> 00:03:34,040 Speaker 1: the signs of this happening as well as the situation 58 00:03:34,080 --> 00:03:38,000 Speaker 1: with lower gas with a few extra dollars in the pocket, UM, 59 00:03:38,040 --> 00:03:40,520 Speaker 1: which enables is spending to happen. I would caution this 60 00:03:40,640 --> 00:03:43,960 Speaker 1: a little bit because the offset is the savings rates. Uh, 61 00:03:44,000 --> 00:03:47,120 Speaker 1: savings rates have you know gone up in terms of 62 00:03:47,160 --> 00:03:51,080 Speaker 1: these consumers also saving. And then also there's a shift 63 00:03:51,120 --> 00:03:54,520 Speaker 1: in terms of Millennials and Generation Z and the newest 64 00:03:54,520 --> 00:03:59,440 Speaker 1: generations thinking a lot about experiences, spending on experiences rather 65 00:03:59,480 --> 00:04:02,480 Speaker 1: than material row items. So it's not um fun and 66 00:04:02,560 --> 00:04:05,600 Speaker 1: games for retailers. And the rise of Amazon is another 67 00:04:05,680 --> 00:04:10,000 Speaker 1: factor to um as online traffic growth so substantially. So 68 00:04:10,360 --> 00:04:12,600 Speaker 1: I know Tom wants to jump in and he definitely 69 00:04:12,600 --> 00:04:14,520 Speaker 1: wants to ask about Amazon, But I was just curious 70 00:04:14,560 --> 00:04:18,239 Speaker 1: when you said the younger generations, you know, they're they're 71 00:04:18,279 --> 00:04:22,200 Speaker 1: spending more on experiences. I'm wondering if they're still buying 72 00:04:22,240 --> 00:04:26,840 Speaker 1: as much stuff because they like stuff. They like clothing too, 73 00:04:26,880 --> 00:04:29,720 Speaker 1: but they're buying it at this disposable fashion places like 74 00:04:29,880 --> 00:04:33,279 Speaker 1: H and M, so they're not spending as much on clothing, 75 00:04:33,400 --> 00:04:37,760 Speaker 1: leaving them more room to spend on experiences. Yeah, we've 76 00:04:37,800 --> 00:04:42,440 Speaker 1: seen a really competitive discounting driven environment and apparel. If 77 00:04:42,440 --> 00:04:44,560 Speaker 1: you think about you know, what you see in stores, 78 00:04:44,680 --> 00:04:47,680 Speaker 1: the friends and family sales, you know, fifty percent off 79 00:04:47,800 --> 00:04:52,160 Speaker 1: is the new off. Just the circular reference here with 80 00:04:52,320 --> 00:04:56,760 Speaker 1: with discounts. So that's happening, and the apparel category has 81 00:04:56,800 --> 00:05:00,520 Speaker 1: been deflationary in light of this circumclances up. But what's 82 00:05:00,520 --> 00:05:02,400 Speaker 1: the level of panic and well, I can't get my 83 00:05:02,480 --> 00:05:06,120 Speaker 1: handle on within fifty off is a level of sweat 84 00:05:06,160 --> 00:05:10,520 Speaker 1: and panic and an overstocked, over inventoried retail. What's the 85 00:05:10,600 --> 00:05:14,960 Speaker 1: level of sweat, Oliver Jen, We'll sweat's a big deal 86 00:05:14,960 --> 00:05:17,240 Speaker 1: because fitness is a big deal. Hell, I don't mean that, 87 00:05:17,440 --> 00:05:21,120 Speaker 1: I mean the level of panic for CFOs. Well, there's 88 00:05:21,160 --> 00:05:24,960 Speaker 1: a little bit of panic here because there's price matching. Furthermore, 89 00:05:25,760 --> 00:05:28,760 Speaker 1: of traffic is on mobile, so you know you'll you'll 90 00:05:28,800 --> 00:05:30,640 Speaker 1: do this too. You'll walk into a store and you'll 91 00:05:30,680 --> 00:05:33,200 Speaker 1: see a sweater and I'll google it on my phone 92 00:05:33,360 --> 00:05:39,120 Speaker 1: to look for the best deal possible. So the added transparency, UH, 93 00:05:39,200 --> 00:05:41,720 Speaker 1: speed and other factors are adding a lot of stress 94 00:05:41,720 --> 00:05:44,320 Speaker 1: in the system. So what do they do. I went 95 00:05:44,400 --> 00:05:46,120 Speaker 1: into you know when you interviewed the CEO of a 96 00:05:46,200 --> 00:05:48,320 Speaker 1: data so I thought of going and buy. I went 97 00:05:48,360 --> 00:05:51,720 Speaker 1: with a fashion forward selection, Oliver Jen. I bought the 98 00:05:51,800 --> 00:05:55,599 Speaker 1: original stand smith sneaker. I mean John Tucker. It's the 99 00:05:55,600 --> 00:05:59,280 Speaker 1: one year in I wore I put it on the 100 00:05:59,680 --> 00:06:03,000 Speaker 1: run g gory keeper of the Amex expense account. We'll 101 00:06:03,040 --> 00:06:06,680 Speaker 1: see that the next month's listening. But Oliver Chen, seriously here, 102 00:06:06,880 --> 00:06:10,280 Speaker 1: how does it Didas or Nike or anybody else adapt 103 00:06:10,279 --> 00:06:14,000 Speaker 1: to my cell phone? Well, it is about brands. It's 104 00:06:14,000 --> 00:06:17,360 Speaker 1: about powerful brands and kind of segmenting the brand across 105 00:06:17,400 --> 00:06:21,200 Speaker 1: different channels so that matters. And then experiences matter too. 106 00:06:21,240 --> 00:06:23,279 Speaker 1: They really got to drive you in the store and 107 00:06:23,320 --> 00:06:25,720 Speaker 1: it has to make sense to you. And it's about curation. 108 00:06:26,240 --> 00:06:29,760 Speaker 1: It's also about what is curation. What is curation the 109 00:06:29,839 --> 00:06:33,400 Speaker 1: cf A curricula. Curation has a lot to do with 110 00:06:33,560 --> 00:06:37,000 Speaker 1: making sure that you're getting a point of view. So 111 00:06:37,520 --> 00:06:39,440 Speaker 1: you want to walk into a store and be wild. 112 00:06:39,800 --> 00:06:41,880 Speaker 1: You want to look at those stand smiths which you 113 00:06:41,920 --> 00:06:46,120 Speaker 1: should wear with the bow ties and it's uh, it's 114 00:06:46,160 --> 00:06:49,440 Speaker 1: the next that really changes your life because the bar 115 00:06:49,560 --> 00:06:53,799 Speaker 1: is higher. Instagram, Snapchat a d D around the consumer. 116 00:06:54,200 --> 00:06:56,560 Speaker 1: We're gonna come back, Oliver Chen with us a very 117 00:06:56,560 --> 00:07:01,400 Speaker 1: important counting companies, brilliant on Amazon. We'll come Michael Barr 118 00:07:01,480 --> 00:07:04,320 Speaker 1: had suggestions for you. He did, I mean, I mean, 119 00:07:04,320 --> 00:07:06,560 Speaker 1: do we curate when we go into the grocery store 120 00:07:06,560 --> 00:07:10,000 Speaker 1: and you have to get a quart of milk. Sadly, yes, yes, 121 00:07:10,040 --> 00:07:12,840 Speaker 1: we when we go get a quart of milk. Futures 122 00:07:12,920 --> 00:07:18,080 Speaker 1: up to town, futures up one. Let's check it out 123 00:07:18,080 --> 00:07:19,880 Speaker 1: with Michael Barr and get the latest World of national 124 00:07:19,880 --> 00:07:22,360 Speaker 1: headlines by time, Thank you very much. Fire officials in 125 00:07:22,400 --> 00:07:25,200 Speaker 1: the Canadian province of Alberta say the forecast for the 126 00:07:25,240 --> 00:07:28,000 Speaker 1: next few days means they can really get in and 127 00:07:28,040 --> 00:07:30,680 Speaker 1: get a handle on a wildfire that has scorched almost 128 00:07:30,800 --> 00:07:35,560 Speaker 1: four hundred thousand acres. Chad Morrison of Alberta Wildfire says 129 00:07:35,560 --> 00:07:39,120 Speaker 1: the next few days are calling for cooler temperatures and 130 00:07:39,360 --> 00:07:42,640 Speaker 1: light rain. The wildfire has sent tens of thousands of 131 00:07:42,680 --> 00:07:46,400 Speaker 1: residents fleeing the oil sands down of Fort McMurray. British 132 00:07:46,440 --> 00:07:49,720 Speaker 1: Prime Minister David Cameron says Britain will be permanently poorer 133 00:07:49,920 --> 00:07:53,000 Speaker 1: if the country leaves the EU. Cameron, in a speech 134 00:07:53,040 --> 00:07:56,720 Speaker 1: today in central London, says asked for the leave campaign, 135 00:07:57,160 --> 00:08:00,160 Speaker 1: they are asking us to take massive risk with the 136 00:08:00,200 --> 00:08:02,960 Speaker 1: future of the economy and the future of our country. 137 00:08:03,200 --> 00:08:06,040 Speaker 1: And yet they called even also the most basic questions. 138 00:08:07,000 --> 00:08:10,560 Speaker 1: What would Britain's relationship be with the EU. If we 139 00:08:10,560 --> 00:08:13,600 Speaker 1: were to leave, will we have a free trade agreement 140 00:08:13,960 --> 00:08:16,880 Speaker 1: or will we fall back on well trade organization rules. 141 00:08:17,640 --> 00:08:21,040 Speaker 1: Iran semi official news agencies says the country has test 142 00:08:21,080 --> 00:08:25,080 Speaker 1: fired another ballistic missile. The agency quoted the Deputy Chief 143 00:08:25,120 --> 00:08:28,080 Speaker 1: of Armed Forces saying the test firing was carried out 144 00:08:28,120 --> 00:08:30,800 Speaker 1: two weeks ago. Global News twenty four hours a day, 145 00:08:30,800 --> 00:08:34,000 Speaker 1: powered by our twenty four hundred journalists more than a 146 00:08:34,040 --> 00:08:37,400 Speaker 1: hundred fifty news bureaus from around the world. Michael bar Night, 147 00:08:37,480 --> 00:08:42,160 Speaker 1: Tom All Right, time now for the land Rover Precipity 148 00:08:42,160 --> 00:08:46,079 Speaker 1: Bloomberg NBC Sports Update. Here's John Stesshon. Thanks Mike Under 149 00:08:46,120 --> 00:08:48,719 Speaker 1: scoring eight runs Saturday, the Yankee Bats returned to their 150 00:08:48,760 --> 00:08:51,080 Speaker 1: quiet ways last not only three hits off Red Sox 151 00:08:51,120 --> 00:08:53,800 Speaker 1: knuckleballer Stephen Wright shut out into the Brett Gardner home 152 00:08:53,880 --> 00:08:56,240 Speaker 1: run of the night. Then Boston hit four home runs 153 00:08:56,240 --> 00:08:59,520 Speaker 1: and won five to one to those homers by David Ortiz, 154 00:08:59,559 --> 00:09:01,880 Speaker 1: having a big season at age forty and any of 155 00:09:01,880 --> 00:09:05,000 Speaker 1: the retirement five homers in six games versus the Yanks. 156 00:09:05,040 --> 00:09:07,719 Speaker 1: He's hid fifty two in his career against them. Big 157 00:09:07,760 --> 00:09:10,240 Speaker 1: Poppy now second on the All time red Sox home 158 00:09:10,360 --> 00:09:13,880 Speaker 1: unless he moved past Carlistremsky trails only Ted Williams Mets 159 00:09:13,880 --> 00:09:16,000 Speaker 1: one four three. In San Diego, Matt Harvey got the win. 160 00:09:16,080 --> 00:09:18,760 Speaker 1: He didn't Homer like bar Tolo Cologne did Saturday, but 161 00:09:18,800 --> 00:09:20,880 Speaker 1: he didn't have two hits of the plate. Cubs again 162 00:09:20,920 --> 00:09:23,800 Speaker 1: being Washington thirteenings, they sweep the series. The Cubs are 163 00:09:24,080 --> 00:09:27,120 Speaker 1: twenty four and six Sanley Cup Playoffs. Tampa Bay all 164 00:09:27,120 --> 00:09:29,040 Speaker 1: over the Islanders for nothing to win the series in 165 00:09:29,080 --> 00:09:37,200 Speaker 1: five games. The Islander captain John Tavaris described in the 166 00:09:37,280 --> 00:09:40,400 Speaker 1: emotion in the room after the season ended, like this 167 00:09:42,000 --> 00:09:44,160 Speaker 1: church believe it's Ober. Obviously you put a lot into it, 168 00:09:44,240 --> 00:09:48,080 Speaker 1: so you know, we didn't accomplish what we settled to do. 169 00:09:48,240 --> 00:09:53,640 Speaker 1: And uh lightning in the East Finals Lebron James NBA 170 00:09:53,679 --> 00:09:55,959 Speaker 1: East Finals for the sixth right year Cleveland with the 171 00:09:56,000 --> 00:09:59,320 Speaker 1: sweep winning in Atlanta one d Oklahoma City over San 172 00:09:59,320 --> 00:10:01,920 Speaker 1: Antonio last at one eleven nineties seven. That series is 173 00:10:02,000 --> 00:10:04,959 Speaker 1: tied into We're at the Bloomberg NBC Sports Unday. I'm 174 00:10:05,040 --> 00:10:09,600 Speaker 1: John's DeCamp. John, thank you so much, greatly appreciate that. Sports. 175 00:10:09,720 --> 00:10:12,640 Speaker 1: Michael McKee, it's getting I mean, for those of you globally, 176 00:10:12,679 --> 00:10:16,199 Speaker 1: Mike and I are having fun with Washington Capitals Pittsburgh Penguins. 177 00:10:16,800 --> 00:10:19,560 Speaker 1: We agree to disagree, even though we both know it's 178 00:10:19,559 --> 00:10:23,600 Speaker 1: great hockey. Yeah, a little fabulous hockey. At any given time. 179 00:10:23,760 --> 00:10:26,920 Speaker 1: Capitals come back on Saturday night, now, Tuesday, tomorrow night 180 00:10:27,240 --> 00:10:29,320 Speaker 1: tonight and they're still done three too, So I gotta 181 00:10:29,320 --> 00:10:32,839 Speaker 1: go to Pittsburgh and win, otherwise people will be saying, 182 00:10:32,880 --> 00:10:35,040 Speaker 1: you know, it's the old Washington cursor. For those of 183 00:10:35,040 --> 00:10:37,360 Speaker 1: you listening in England, it's it's I'm sure there's a 184 00:10:37,400 --> 00:10:42,400 Speaker 1: soccer equivalent of where you have three bankable superstars, iconic 185 00:10:42,520 --> 00:10:47,360 Speaker 1: superstars sometimes on the ice at the same time. You know, uh, 186 00:10:47,679 --> 00:10:51,440 Speaker 1: Capitals and Penguins are a little bit like Manchester City 187 00:10:51,520 --> 00:10:56,160 Speaker 1: Manchester United. Yeah, okay, I'll go with that. That's our 188 00:10:56,200 --> 00:11:01,959 Speaker 1: hockey talk for today. Bloomberg Savannahs. The Sports Report was 189 00:11:01,960 --> 00:11:04,840 Speaker 1: brought to by Landover Precipitate. The Spring sales event is 190 00:11:04,880 --> 00:11:08,680 Speaker 1: happening now. Visit Landover Precipitate dot com, Landover Above and 191 00:11:08,720 --> 00:11:20,360 Speaker 1: Beyond Global business news twenty four hours a day at 192 00:11:20,360 --> 00:11:24,160 Speaker 1: Bloomberg dot Com, the Radio plus Mobil and on your radio. 193 00:11:24,480 --> 00:11:28,520 Speaker 1: This is a Bloomberg Business flash and I'm Karen Moscow. 194 00:11:28,600 --> 00:11:32,400 Speaker 1: This updates brought to you by National Realty Returns on 195 00:11:32,480 --> 00:11:34,559 Speaker 1: cash and rented real estate. Find them at n r 196 00:11:34,640 --> 00:11:37,760 Speaker 1: i a dot net. Krispy Kreme Doughnuts are great to 197 00:11:37,760 --> 00:11:40,719 Speaker 1: be acquired by j a V Holding subsidiary in a 198 00:11:40,800 --> 00:11:43,880 Speaker 1: one point three five billion dollar deal. Shares are up 199 00:11:43,920 --> 00:11:46,680 Speaker 1: more than twenty three percent this morning. Lendon Club is 200 00:11:46,720 --> 00:11:50,160 Speaker 1: down twenty four percent. Founder and chief executive Officer Renauld 201 00:11:50,240 --> 00:11:53,920 Speaker 1: Laplanche resigned after an internal review of loan sales to 202 00:11:53,960 --> 00:11:58,200 Speaker 1: a single investor, and President Scott Sanborn was named acting CEO. 203 00:11:58,720 --> 00:12:02,640 Speaker 1: Valion Pharmaceuticals Inner National, reiterating its revenue and earnings forecast 204 00:12:02,720 --> 00:12:05,000 Speaker 1: for the first quarter, saying it expects to file it's 205 00:12:05,040 --> 00:12:07,720 Speaker 1: ten que by June tenth, ahead of a July thirty 206 00:12:07,760 --> 00:12:11,040 Speaker 1: one deadline, and it's a dead agreement. Stocks rallying, with 207 00:12:11,120 --> 00:12:13,960 Speaker 1: European equities rising from a one month low as they 208 00:12:14,000 --> 00:12:16,480 Speaker 1: shook off a drag from Chinese trade data that weight 209 00:12:16,559 --> 00:12:19,720 Speaker 1: on industrial medals. We checked the markets every fifteen minutes 210 00:12:19,760 --> 00:12:23,240 Speaker 1: throughout the trading day. On Bloomberg SNP E Mini Future 211 00:12:23,280 --> 00:12:25,319 Speaker 1: is higher of one and a half points now e 212 00:12:25,360 --> 00:12:28,800 Speaker 1: mini futures up fifteen, Nasadaki mini futures up eight The 213 00:12:28,920 --> 00:12:31,560 Speaker 1: dacts in Germany's up one and a half percent. Ten 214 00:12:31,640 --> 00:12:34,319 Speaker 1: year treasury up four thirty seconds, the yield one point 215 00:12:34,360 --> 00:12:37,439 Speaker 1: seven six percent. Yield on the two year points seven 216 00:12:37,520 --> 00:12:40,520 Speaker 1: one percent. Nine Max Screwede oil up two ten percent 217 00:12:40,600 --> 00:12:43,040 Speaker 1: or eight cents to forty four seventy three of arrol 218 00:12:43,320 --> 00:12:45,960 Speaker 1: comex gold down one and a half percent or nineteen 219 00:12:45,960 --> 00:12:49,720 Speaker 1: dollars fifty cents to twelve seventy four sixty announced the 220 00:12:49,760 --> 00:12:52,400 Speaker 1: euro and dollar fourteen oh five. The end one oh 221 00:12:52,400 --> 00:12:55,720 Speaker 1: eight point to two. That's a Bloomberg business flash. Tom 222 00:12:55,720 --> 00:12:58,480 Speaker 1: and Mike Karen, thanks so much. This Monday morning. It 223 00:12:58,760 --> 00:13:04,599 Speaker 1: is Wall Street. The following is from Bloomberg View, opinions 224 00:13:04,600 --> 00:13:08,640 Speaker 1: and commentary from Bloomberg columnists. I'm Mark Whitehouse, an editor 225 00:13:08,679 --> 00:13:12,000 Speaker 1: at Bloomberg View. Why are so many people unhappy about 226 00:13:12,040 --> 00:13:15,200 Speaker 1: a US economy that has generated more than twelve million 227 00:13:15,280 --> 00:13:18,679 Speaker 1: jobs over the past five years. One explanation a lot 228 00:13:18,720 --> 00:13:21,360 Speaker 1: of those jobs don't pay very well. The April jobs 229 00:13:21,400 --> 00:13:26,000 Speaker 1: report illustrates a persistent disconnect. Employers have created enough jobs 230 00:13:26,040 --> 00:13:28,480 Speaker 1: to keep the unemployment rate at five percent or lower 231 00:13:28,520 --> 00:13:31,640 Speaker 1: for seven months straight. Yet this ample demand for workers 232 00:13:31,679 --> 00:13:35,280 Speaker 1: hasn't generated the wage growth needed to drive consumer spending 233 00:13:35,520 --> 00:13:38,760 Speaker 1: and the broader economy. What gives one issue is the 234 00:13:38,800 --> 00:13:42,280 Speaker 1: quality of jobs being created. To see this, let's split 235 00:13:42,360 --> 00:13:46,480 Speaker 1: private sector jobs into three wage categories. Low, middle, and high. 236 00:13:46,920 --> 00:13:49,319 Speaker 1: Low wage jobs have accounted for the most growth by 237 00:13:49,360 --> 00:13:52,120 Speaker 1: far since the recession that began in two thousand eight, 238 00:13:52,480 --> 00:13:55,800 Speaker 1: exceeding the prerecession peak by more than four million. High 239 00:13:55,840 --> 00:13:58,840 Speaker 1: wage jobs have recovered two but not as much. The 240 00:13:58,880 --> 00:14:01,640 Speaker 1: middle is by far the worst off, still two hundred 241 00:14:01,640 --> 00:14:04,480 Speaker 1: and fifty thousand jobs short of its pre recession peak. 242 00:14:05,000 --> 00:14:07,439 Speaker 1: So while millions of people have gotten back to work, 243 00:14:07,760 --> 00:14:09,959 Speaker 1: it's not surprising that a lot of them aren't too 244 00:14:09,960 --> 00:14:12,800 Speaker 1: pleased about it. I'm Mark white House. For more of you, 245 00:14:12,960 --> 00:14:15,679 Speaker 1: please go to Bloomberg View dot com or view go 246 00:14:15,840 --> 00:14:19,600 Speaker 1: on the Bloomberg terminal. This has been Bloomberg View and 247 00:14:19,600 --> 00:14:22,960 Speaker 1: Bloomberg View Commentary is can be heard hourly weekdays on 248 00:14:23,080 --> 00:14:26,440 Speaker 1: Bloomberg Radio. Mike. This just in from Montreal. Thirty miles 249 00:14:26,600 --> 00:14:30,600 Speaker 1: north of Montreal, police arrest second man suspected of stealing 250 00:14:30,640 --> 00:14:36,560 Speaker 1: five million bees in Quebec let's go to the details. Victoriaville, Quebec, 251 00:14:36,640 --> 00:14:39,840 Speaker 1: Land of the hockey stick, the Victoriaville five lie, the 252 00:14:39,960 --> 00:14:44,800 Speaker 1: old McKenny curve. Yes, I had dozens of those. Yes. Anyways, 253 00:14:44,800 --> 00:14:49,840 Speaker 1: they have arrested a second of two brothers for stealing 254 00:14:49,880 --> 00:14:53,680 Speaker 1: a hundred eighty Gary shilling like bee hives, each worth 255 00:14:53,760 --> 00:14:57,720 Speaker 1: two hundred thousand dollars or total value. Here's the key sentence. 256 00:14:58,160 --> 00:15:01,560 Speaker 1: The bees have yet to be found. Oh my goodness 257 00:15:01,600 --> 00:15:05,880 Speaker 1: for questioning, I don't know. That's the bees have not 258 00:15:06,040 --> 00:15:13,160 Speaker 1: yet been found. If you can't find the bees, that 259 00:15:13,240 --> 00:15:15,360 Speaker 1: how are you going to charge the game? Exactly? That's 260 00:15:15,400 --> 00:15:17,360 Speaker 1: what I was thinking. Is all of Gary showing on 261 00:15:17,440 --> 00:15:20,160 Speaker 1: in the coming days and weeks to discuss be theft, 262 00:15:20,560 --> 00:15:24,480 Speaker 1: be theft in Canada as well? Right now on the 263 00:15:24,480 --> 00:15:28,040 Speaker 1: theft of retail. Oliver Chen of cow and Oliver give 264 00:15:28,120 --> 00:15:32,320 Speaker 1: us an update on Amazon. The sainted one went into 265 00:15:32,360 --> 00:15:36,440 Speaker 1: Adidas yesterday and she had to try on the shoes 266 00:15:37,040 --> 00:15:40,760 Speaker 1: before we ordered them off the internet. How does the 267 00:15:40,800 --> 00:15:44,680 Speaker 1: Amazon win within that model? Yeah, I think what we 268 00:15:44,760 --> 00:15:48,520 Speaker 1: see at Amazon is a really powerful Amazon Prime customer base, 269 00:15:48,640 --> 00:15:52,080 Speaker 1: and that's forty to fifty million customers part of the 270 00:15:52,120 --> 00:15:56,280 Speaker 1: Amazon prime ecosystem. And then Amazon's a lot about reducing 271 00:15:56,360 --> 00:16:00,520 Speaker 1: friction to the customers. So they had film and centers, 272 00:16:00,520 --> 00:16:05,160 Speaker 1: twenty six sortation centers, so really fulfillment as well as prime. 273 00:16:05,360 --> 00:16:07,880 Speaker 1: And then you think about their focus. They're focused on 274 00:16:08,280 --> 00:16:10,800 Speaker 1: being the number one apparel. We think at Kalen will 275 00:16:10,840 --> 00:16:14,040 Speaker 1: be the number one apparel seller by two thousand seventeen 276 00:16:14,120 --> 00:16:17,640 Speaker 1: and the number two consumables by two eighteen. So how 277 00:16:17,680 --> 00:16:21,680 Speaker 1: do stores compete? Again, it's about brands, private labels. It's 278 00:16:21,720 --> 00:16:26,880 Speaker 1: about leveraging stores as assets to deliver a convenience factor 279 00:16:26,960 --> 00:16:30,240 Speaker 1: to customers. And then it's about touch, look and feel 280 00:16:30,280 --> 00:16:34,280 Speaker 1: of products. So t J x Roth's Treasure Hunt shop 281 00:16:34,320 --> 00:16:38,680 Speaker 1: being experience and off price beauty adult. You really have 282 00:16:38,800 --> 00:16:42,480 Speaker 1: to experience beauty and it's experiential, and then you can't 283 00:16:42,480 --> 00:16:45,400 Speaker 1: really Amazon a six packs. So Planet Fitness is a 284 00:16:45,480 --> 00:16:49,400 Speaker 1: stock that we like as well, limited brands emotional in 285 00:16:49,480 --> 00:16:52,960 Speaker 1: terms of Victoria's Secret. That all matters. But Tom, what 286 00:16:53,080 --> 00:16:56,640 Speaker 1: you're saying about price comparisons is really a challenge that 287 00:16:57,120 --> 00:17:02,920 Speaker 1: isn't easily solvable. Well, is uh? Has Jeff Bezos created 288 00:17:02,960 --> 00:17:06,080 Speaker 1: Fortress Bezos? Can anybody else build an Amazon or is 289 00:17:06,119 --> 00:17:09,000 Speaker 1: it gonna be Amazon and a whole bunch of individual 290 00:17:09,080 --> 00:17:11,760 Speaker 1: stores trying to you know, do enough business on their websites. 291 00:17:12,600 --> 00:17:14,880 Speaker 1: I think that's what we're seeing with the scale here 292 00:17:14,880 --> 00:17:17,680 Speaker 1: in Amazon. UM. John black Linch is our lead analysts 293 00:17:17,680 --> 00:17:21,520 Speaker 1: on Amazon. But what they have here is Amazon Web Services, 294 00:17:21,600 --> 00:17:26,800 Speaker 1: which is subsidizing what what is realistically a lower margin business. 295 00:17:26,800 --> 00:17:30,720 Speaker 1: They have this fulfillment scale which is really unmatched, and 296 00:17:30,800 --> 00:17:34,320 Speaker 1: they have, you know, fifty million prime members. So you 297 00:17:34,359 --> 00:17:37,440 Speaker 1: look at the porter's five forces analysis and what can 298 00:17:37,480 --> 00:17:41,719 Speaker 1: happen here and the objective which scale UM, and you 299 00:17:41,760 --> 00:17:44,320 Speaker 1: really have a lot of combination of fixed and variable 300 00:17:44,359 --> 00:17:49,040 Speaker 1: cost in terms of managing retails. So we'll see more consolidation. 301 00:17:49,480 --> 00:17:52,560 Speaker 1: You know, Guilt Group was bought by Hudson's Bay. UM 302 00:17:52,600 --> 00:17:55,439 Speaker 1: thinking about some of these pure plays and you know, 303 00:17:55,560 --> 00:17:57,600 Speaker 1: it's really the merging of bricks and clicks, and you 304 00:17:57,640 --> 00:18:01,760 Speaker 1: really need to see scale to compete. Well, how if 305 00:18:01,800 --> 00:18:06,640 Speaker 1: you're an individual retailer, how do you think about life 306 00:18:06,640 --> 00:18:10,560 Speaker 1: sting forward? I think life going forward means your store 307 00:18:10,640 --> 00:18:13,359 Speaker 1: really has to offer something special to the consumer because 308 00:18:13,440 --> 00:18:17,480 Speaker 1: the value, the bar for value is that much higher UM, 309 00:18:17,520 --> 00:18:20,480 Speaker 1: and you also have to be very very customer focused. 310 00:18:21,080 --> 00:18:23,480 Speaker 1: So you think about the greatest companies, they are they're 311 00:18:23,520 --> 00:18:29,960 Speaker 1: all in Seattle, Costco, Amazon, Nordstrom customer focus, which means, um, 312 00:18:30,000 --> 00:18:32,639 Speaker 1: you can't be selfish. It means you're thinking hard about 313 00:18:32,720 --> 00:18:36,119 Speaker 1: how to pleasure the consumer in many ways and it 314 00:18:36,200 --> 00:18:39,879 Speaker 1: really solve problems for their lives. Is there too much stuff? 315 00:18:39,920 --> 00:18:42,959 Speaker 1: I mean, when I talked to Oliver Jen Oliver, it 316 00:18:43,000 --> 00:18:46,680 Speaker 1: feels like an airline conversation of eight, nine, ten years ago. 317 00:18:47,400 --> 00:18:51,360 Speaker 1: Is there an adult nous across all the price points 318 00:18:51,880 --> 00:18:57,880 Speaker 1: to do fewer products to possibly drive operating income, stability 319 00:18:57,960 --> 00:19:01,439 Speaker 1: and even growth. I do think that that is something 320 00:19:01,480 --> 00:19:04,840 Speaker 1: companies are trying to figure out in terms of rationalizing 321 00:19:04,880 --> 00:19:08,080 Speaker 1: the number of SKA used. Also, Tom, what you're saying 322 00:19:08,200 --> 00:19:12,200 Speaker 1: is true with respect to the country generally being overmolved. 323 00:19:12,800 --> 00:19:17,560 Speaker 1: So most of our retailers have hit, um uh, somewhat 324 00:19:17,560 --> 00:19:20,160 Speaker 1: of a store saturation point. So it's a lot about 325 00:19:20,240 --> 00:19:23,800 Speaker 1: grooming and refining and the rise of online. The rise 326 00:19:23,840 --> 00:19:28,000 Speaker 1: of mobile happen faster than people expect it. So as 327 00:19:28,040 --> 00:19:32,520 Speaker 1: this happens, um the physical stores become less important. Are 328 00:19:32,680 --> 00:19:35,920 Speaker 1: just become part of an ecosystem. But keep in mind 329 00:19:35,960 --> 00:19:39,760 Speaker 1: stores still matter. They're convenient and you know when you 330 00:19:39,840 --> 00:19:42,040 Speaker 1: when you hop into a Walmart and Target, you're getting 331 00:19:42,040 --> 00:19:44,800 Speaker 1: a lot done quickly. You want to touch some clothes, 332 00:19:44,880 --> 00:19:48,040 Speaker 1: So there's a there's there is a purpose for stores, 333 00:19:48,119 --> 00:19:51,000 Speaker 1: but it's a lot of challenges and rethinking the assortment 334 00:19:51,040 --> 00:19:56,359 Speaker 1: in the square footage space and maximizing productivity across all channels. 335 00:19:57,080 --> 00:20:02,159 Speaker 1: So thirty of holiday sales at at Coles and others 336 00:20:02,200 --> 00:20:05,879 Speaker 1: were fulfilled using store so binline pickup and store ship 337 00:20:05,960 --> 00:20:10,439 Speaker 1: from store distributed order management. They're all factors that matter 338 00:20:10,640 --> 00:20:15,520 Speaker 1: for the incumbent retailers to really play hard here does 339 00:20:16,000 --> 00:20:20,679 Speaker 1: store experience matter in terms of how beautiful you know, 340 00:20:20,720 --> 00:20:23,600 Speaker 1: how it's late, how or is it really about I 341 00:20:23,640 --> 00:20:27,000 Speaker 1: can try it on in the price is low? You 342 00:20:27,000 --> 00:20:30,679 Speaker 1: know when we survey people globally around the world, price 343 00:20:31,160 --> 00:20:35,080 Speaker 1: definitely matters, and everyday low prices is a huge factor. 344 00:20:35,200 --> 00:20:38,560 Speaker 1: But when we think about some of the amazing concepts 345 00:20:38,560 --> 00:20:42,639 Speaker 1: in retail, like like a Lululemon Um, like like aspects 346 00:20:42,640 --> 00:20:45,760 Speaker 1: of north from experience matters because and you also want 347 00:20:45,800 --> 00:20:49,760 Speaker 1: to talk to people, So people matter in terms of 348 00:20:49,840 --> 00:20:52,960 Speaker 1: service and really helping you get what you want done 349 00:20:53,400 --> 00:20:56,359 Speaker 1: and also, um, if you're going to pay extra for 350 00:20:56,440 --> 00:20:59,760 Speaker 1: the for the yoga bottom or for for the dance, 351 00:21:00,040 --> 00:21:03,240 Speaker 1: and you really need to be have an emotional component 352 00:21:03,400 --> 00:21:07,560 Speaker 1: that proves to you that, Um, there's a lifestyle linkage 353 00:21:07,600 --> 00:21:11,399 Speaker 1: here that gets you excited about the about the product 354 00:21:11,480 --> 00:21:13,840 Speaker 1: you're about to put on, whether it be a bra 355 00:21:14,119 --> 00:21:16,960 Speaker 1: or maker board or Yeah, I was worried about that 356 00:21:17,040 --> 00:21:19,879 Speaker 1: this weekend, Oliver chen quickly your single best buy? What 357 00:21:20,000 --> 00:21:23,119 Speaker 1: is it? We like Signette as well, and we like 358 00:21:23,280 --> 00:21:26,080 Speaker 1: Target and we like Coach, but Signette tick r s 359 00:21:26,119 --> 00:21:29,159 Speaker 1: I G. Every kiss begins with K. We think they 360 00:21:29,160 --> 00:21:33,040 Speaker 1: have a great business um, which is bridal focused. You 361 00:21:33,040 --> 00:21:36,800 Speaker 1: can't Amazon away diamond ring and we think he has 362 00:21:36,800 --> 00:21:39,320 Speaker 1: supply chain is very good too. May I quote you 363 00:21:39,400 --> 00:21:47,040 Speaker 1: on that Amazon? And does that mean Tiffany's has got it? Mate? 364 00:21:48,119 --> 00:21:49,879 Speaker 1: We like what Tiffany is doing, but we have a 365 00:21:49,920 --> 00:21:53,280 Speaker 1: market perform in that stock. But it's an iconic brand 366 00:21:53,720 --> 00:21:55,800 Speaker 1: and they have a lot of good vertical integration. We 367 00:21:55,880 --> 00:21:58,480 Speaker 1: like what they're doing with the new t collection in Atlas. 368 00:21:58,840 --> 00:22:03,399 Speaker 1: I love them that you're too much, Oliver En, never 369 00:22:03,480 --> 00:22:05,760 Speaker 1: enough time. We beg you to darken our door here 370 00:22:05,760 --> 00:22:08,680 Speaker 1: at our world headquarters as you go over to Bloomingdale's 371 00:22:08,680 --> 00:22:13,960 Speaker 1: and look at their newly crafted first floor. Look amen, 372 00:22:14,240 --> 00:22:16,920 Speaker 1: we'll get a minute. Oliver Chenna Cowen, thank you so much, 373 00:22:17,000 --> 00:22:22,040 Speaker 1: greatly appreciate it this morning. He's always interesting. Yeah, I'm 374 00:22:22,040 --> 00:22:27,639 Speaker 1: waiting for eighty percent off. Um, well you you haven't 375 00:22:28,200 --> 00:22:30,000 Speaker 1: stocked up on spring fashions yet. Where we