1 00:00:02,120 --> 00:00:05,480 Speaker 1: Global business news twenty four hours a day at Bloomberg 2 00:00:05,519 --> 00:00:08,600 Speaker 1: dot com, the Radio, plus mobile labs and on your radio. 3 00:00:08,880 --> 00:00:12,719 Speaker 1: This is a Bloomberg Business Flash and I'm Karin Moscow. 4 00:00:12,720 --> 00:00:15,000 Speaker 1: This updates brought to you by Sector Spider e t 5 00:00:15,240 --> 00:00:16,720 Speaker 1: F So who I buy a single stock when you 6 00:00:16,720 --> 00:00:20,119 Speaker 1: can invest in the entire sector. Visits sector spd r 7 00:00:20,320 --> 00:00:23,680 Speaker 1: s dot com are called six sector E t F. 8 00:00:24,160 --> 00:00:27,680 Speaker 1: Ford Motors live vehicle sales were twenty in February, while 9 00:00:27,680 --> 00:00:32,360 Speaker 1: Fiat Chrysler automobiles deliveries climbed twelve percent. Both exceeded analysts 10 00:00:32,440 --> 00:00:35,600 Speaker 1: estimates thanks to pay back from January storm promotions tied 11 00:00:35,640 --> 00:00:38,800 Speaker 1: to the President's Day holiday and continued strong demand for sport, 12 00:00:38,880 --> 00:00:42,560 Speaker 1: utility vehicles and pickups. Nissan also beat, while GM sales 13 00:00:42,600 --> 00:00:44,479 Speaker 1: fell one and a half percent last month and that 14 00:00:44,640 --> 00:00:48,960 Speaker 1: missed analysts estimates. U S stocks, meanwhile, are rising amid 15 00:00:49,000 --> 00:00:52,560 Speaker 1: investor optimism about Central bank support. We checked the markets 16 00:00:52,600 --> 00:00:55,600 Speaker 1: every fifteen minutes throughout the trading day on bloomberg S 17 00:00:55,640 --> 00:00:57,920 Speaker 1: and p five half per cent or nine points in 18 00:00:58,800 --> 00:01:01,160 Speaker 1: one Dow Jones and does sterrail average of four tenths 19 00:01:01,160 --> 00:01:03,680 Speaker 1: per cent or sixty seven points to sixteen thousand, five 20 00:01:03,880 --> 00:01:06,319 Speaker 1: d eighty three, the NASTAC up six tenths per cent 21 00:01:06,400 --> 00:01:10,280 Speaker 1: or twenty seven points to five ten your treasury little change. 22 00:01:10,319 --> 00:01:12,440 Speaker 1: He had one point seven three percent yield done a 23 00:01:12,480 --> 00:01:15,920 Speaker 1: two year point seven seven percent Nimax screwed oil down 24 00:01:15,959 --> 00:01:18,280 Speaker 1: one percent or thirty one cents to thirty three forty 25 00:01:18,319 --> 00:01:20,840 Speaker 1: two A barrel Comax gold up half per cent or 26 00:01:20,880 --> 00:01:23,640 Speaker 1: six dollars fifty cents at twelve forties seventy an ounce 27 00:01:24,080 --> 00:01:26,959 Speaker 1: the euro dollar five eight, the end one thirteen point 28 00:01:27,000 --> 00:01:30,400 Speaker 1: oh six, and Honeywell International saying it would no longer 29 00:01:30,480 --> 00:01:34,160 Speaker 1: pursue a combination with United Technologies due to the target 30 00:01:34,160 --> 00:01:37,880 Speaker 1: company's unwillingness to negotiate. That's a Bloomberg business flash. Tom 31 00:01:37,920 --> 00:01:41,199 Speaker 1: and Mike and Karen, thank you so much. Good morning 32 00:01:41,200 --> 00:01:44,440 Speaker 1: everyone in this Super Tuesday from our news bureau in Washington. 33 00:01:44,880 --> 00:01:46,919 Speaker 1: One of our themes today is to speak to people 34 00:01:46,959 --> 00:01:50,560 Speaker 1: with experience, people that have linked to strategy and tactics 35 00:01:50,640 --> 00:01:55,240 Speaker 1: of our economic politics are political economics. Jose par has 36 00:01:55,280 --> 00:01:58,480 Speaker 1: done that. He's worked with Senator Read of Nevada, among others, 37 00:01:58,520 --> 00:02:02,240 Speaker 1: of actually doing something that a lot of people thirty 38 00:02:02,280 --> 00:02:05,760 Speaker 1: years ago weren't sure it was possible, which is organized, 39 00:02:05,840 --> 00:02:09,000 Speaker 1: get out and do the Hispanic vote. We could go 40 00:02:09,160 --> 00:02:12,440 Speaker 1: for three hours today based on what then Weber said 41 00:02:12,520 --> 00:02:17,320 Speaker 1: earlier of Hispanic strong Old Minnesota about the importance of 42 00:02:17,360 --> 00:02:20,960 Speaker 1: the world of the Latino in the Hispanic vote. Give 43 00:02:21,040 --> 00:02:23,960 Speaker 1: us the state of the Latino vote. After what we 44 00:02:24,080 --> 00:02:28,440 Speaker 1: learned in two thousand eight and two thousand twelve, all 45 00:02:28,440 --> 00:02:32,800 Speaker 1: two and two thousand ten, we're also um were seminal years. 46 00:02:33,280 --> 00:02:37,959 Speaker 1: It's obviously been growing by by leaps and bounds participations 47 00:02:37,960 --> 00:02:40,280 Speaker 1: and is now where it should be if it were, 48 00:02:40,760 --> 00:02:43,799 Speaker 1: and this could be a limited Lithmos test here for that. 49 00:02:44,520 --> 00:02:48,720 Speaker 1: For example, in you had about twenty three million eligible 50 00:02:48,800 --> 00:02:52,160 Speaker 1: Hispanic voters. Close to twelve million turned out to the polls, 51 00:02:52,200 --> 00:02:56,079 Speaker 1: so still underperforming, but still were They played a decisive 52 00:02:56,160 --> 00:02:59,800 Speaker 1: role in states like Florida and Nevada to help President 53 00:03:00,000 --> 00:03:06,360 Speaker 1: Imma win, and in we actually had presidential type turnout 54 00:03:07,040 --> 00:03:10,639 Speaker 1: to uh in Nevada to back center reading according to 55 00:03:10,680 --> 00:03:14,120 Speaker 1: the firm Latino Decisions Center read one ninetent of the 56 00:03:14,200 --> 00:03:17,200 Speaker 1: vote that year. Interestingly, if you want to compare that 57 00:03:17,280 --> 00:03:21,839 Speaker 1: year to what's occurring right now, the rhetoric was very much, 58 00:03:22,040 --> 00:03:26,400 Speaker 1: very similar. Sharon angle Uh Center Reads um Fun the 59 00:03:26,440 --> 00:03:31,480 Speaker 1: moment was um base air campaign on immigration, and she 60 00:03:31,560 --> 00:03:34,520 Speaker 1: spent about a third of her TV budget on anti 61 00:03:34,600 --> 00:03:37,880 Speaker 1: immigrant ads, and that contrast between her and Center to 62 00:03:37,920 --> 00:03:42,280 Speaker 1: Read really helped turn the Latino vote out. Well, when 63 00:03:42,320 --> 00:03:44,720 Speaker 1: we speak of the Latino vote, I mean it's people 64 00:03:44,760 --> 00:03:47,960 Speaker 1: from Mexico, people from the Caribbean, people from South America. 65 00:03:48,040 --> 00:03:51,600 Speaker 1: You've got immigrant recent demigrants, and you've got families who've 66 00:03:51,600 --> 00:03:56,080 Speaker 1: been here for generations. So what is the Latino slash 67 00:03:56,120 --> 00:04:01,920 Speaker 1: Hispanic vote? Are there issues that are common to all 68 00:04:02,440 --> 00:04:05,680 Speaker 1: or do we make a mistake by lumping everybody together. Well, 69 00:04:05,720 --> 00:04:08,920 Speaker 1: it is definitely a moving target. And no anybody who 70 00:04:09,000 --> 00:04:12,840 Speaker 1: tells you that they've had the Hispanic both figured out, Um, 71 00:04:12,960 --> 00:04:16,440 Speaker 1: they're they're selling me a bunch of goods. Because it 72 00:04:16,560 --> 00:04:19,120 Speaker 1: is a moving target. Something you need to be measuring 73 00:04:19,160 --> 00:04:21,560 Speaker 1: all the time and something you need to be and 74 00:04:21,680 --> 00:04:24,560 Speaker 1: any public you need to be listening to constantly in 75 00:04:24,680 --> 00:04:26,720 Speaker 1: order to figure out where they are. You have huge 76 00:04:26,720 --> 00:04:30,360 Speaker 1: differences between Florida, for example, and Nevada, even in Florida. 77 00:04:30,600 --> 00:04:32,680 Speaker 1: In Florida you need to micro target, for example, you 78 00:04:32,680 --> 00:04:34,520 Speaker 1: need to talk to the Colombians. You need to talk 79 00:04:34,560 --> 00:04:37,640 Speaker 1: to nic you need to talk to Cubans, and each 80 00:04:37,640 --> 00:04:41,760 Speaker 1: one has different radio stations. For example, they listen to UM. 81 00:04:41,800 --> 00:04:45,920 Speaker 1: How can Mr Trump do so well against a departed 82 00:04:46,000 --> 00:04:50,120 Speaker 1: Bush and a present Rubio in that state given the 83 00:04:50,200 --> 00:04:55,400 Speaker 1: fabulous diversity in Florida advantage? A lot of Americans are 84 00:04:55,440 --> 00:04:57,920 Speaker 1: asking that question. Well, I think the biggest thing here 85 00:04:58,120 --> 00:05:02,840 Speaker 1: is that we're talking about UM a fracturep UM, and 86 00:05:02,880 --> 00:05:05,640 Speaker 1: you're talking about a fraction of the GOOP, which is 87 00:05:05,839 --> 00:05:12,839 Speaker 1: a majority, but not I A a proper big majority 88 00:05:12,960 --> 00:05:16,600 Speaker 1: of the It's not fifty plus of the GOOP field 89 00:05:17,080 --> 00:05:20,440 Speaker 1: or of GOP voters. And uh, I think that's what's 90 00:05:20,480 --> 00:05:22,800 Speaker 1: happening there. And he's turning out. I bet you a 91 00:05:22,800 --> 00:05:26,159 Speaker 1: lot of people in northern Florida, uh, and roll parts 92 00:05:26,200 --> 00:05:29,000 Speaker 1: of Florida which are very similar to Alabama or Georgia 93 00:05:29,360 --> 00:05:34,279 Speaker 1: and it's demographic makeup are there. It is there a 94 00:05:34,360 --> 00:05:37,719 Speaker 1: Latino vote that is committed to one side or another. 95 00:05:37,720 --> 00:05:40,040 Speaker 1: Because the Republican argument coming out of two thousand twelves, 96 00:05:40,080 --> 00:05:44,600 Speaker 1: we need to appeal more because our issues, conservative issues, 97 00:05:44,960 --> 00:05:48,440 Speaker 1: religious issues would appeal to Hispanics on an economic basis 98 00:05:48,440 --> 00:05:51,040 Speaker 1: the Democrats say we can compete. Is the vote still 99 00:05:51,120 --> 00:05:53,320 Speaker 1: up for grabs or has it hardened on one side 100 00:05:53,320 --> 00:05:56,560 Speaker 1: of the not after what Trump has done, and there's 101 00:05:56,560 --> 00:06:01,640 Speaker 1: been an unfortunate trend within the GOP Jack Trump in reality, 102 00:06:01,680 --> 00:06:04,400 Speaker 1: what he did was harn as this trend and used 103 00:06:04,440 --> 00:06:07,760 Speaker 1: his megaphone as a media figure to protect it. Because 104 00:06:07,800 --> 00:06:09,880 Speaker 1: this type of language we've been hearing from Steve King, 105 00:06:10,040 --> 00:06:13,960 Speaker 1: from Moe Brooks, uh from Jan Brewer, and the the 106 00:06:14,000 --> 00:06:17,279 Speaker 1: Arizona Law of of two thousand and ten, which, by 107 00:06:17,320 --> 00:06:19,760 Speaker 1: the way, Marco Rubio back to the time, which meant 108 00:06:19,800 --> 00:06:22,240 Speaker 1: that if you look Latino or sana Latino, you could 109 00:06:22,279 --> 00:06:25,960 Speaker 1: be stopped and that started that turned immigration into an identity. 110 00:06:26,000 --> 00:06:28,560 Speaker 1: Is the background here for Washington, and we've heard this 111 00:06:28,560 --> 00:06:33,400 Speaker 1: from FM Washington listeners over the last few days. Is 112 00:06:33,640 --> 00:06:37,120 Speaker 1: Robert Kagan's important op ed in the Washington Post. He 113 00:06:37,240 --> 00:06:40,719 Speaker 1: is Atrew Brooken's institution and he just wrote a basic 114 00:06:40,800 --> 00:06:45,280 Speaker 1: theme of what you address about the GOP um. The 115 00:06:45,320 --> 00:06:49,120 Speaker 1: president is not only wrong but also anti American, un American, 116 00:06:49,520 --> 00:06:53,880 Speaker 1: non American, and his policies, though barely distinguishable from those 117 00:06:53,880 --> 00:06:57,279 Speaker 1: of previous liberal Democrats such as Michael Ducaca from Mario 118 00:06:57,360 --> 00:07:03,200 Speaker 1: Cuomo are somewhat representative of something subversive. Do they just 119 00:07:03,320 --> 00:07:07,279 Speaker 1: lose all of the minority vote in America with that language? 120 00:07:08,200 --> 00:07:10,440 Speaker 1: I mean they've been pushing that language for a long 121 00:07:10,560 --> 00:07:14,080 Speaker 1: long time now, at least for eight years of Hispanics 122 00:07:14,080 --> 00:07:19,280 Speaker 1: in the Romney election for Mr Romney, about and that 123 00:07:19,440 --> 00:07:21,320 Speaker 1: number and then and and and I would argue that 124 00:07:21,440 --> 00:07:24,040 Speaker 1: problem that number is probably lower because that's based on 125 00:07:24,040 --> 00:07:28,720 Speaker 1: on an exit polling, which tends to under measure minority communities. 126 00:07:29,200 --> 00:07:31,720 Speaker 1: And we talked about Donald Trump obviously is sort of 127 00:07:31,720 --> 00:07:34,520 Speaker 1: the front runner in the Republican side. Suppose you get 128 00:07:34,520 --> 00:07:37,560 Speaker 1: a Hispanic, you get Marco Rubio or Ted Cruz, who 129 00:07:37,640 --> 00:07:40,200 Speaker 1: rests the nomination away from him. How does that change 130 00:07:40,200 --> 00:07:44,160 Speaker 1: the dynamic? I don't think much, because what Trump has 131 00:07:44,200 --> 00:07:47,640 Speaker 1: done is forced the party to tach right in its message, 132 00:07:47,640 --> 00:07:51,360 Speaker 1: on its tone, and forced all these guys to chase 133 00:07:51,440 --> 00:07:56,200 Speaker 1: him as as far as his rhetoric, maybe with uh 134 00:07:57,080 --> 00:08:00,400 Speaker 1: much less crass language until this weekend when Arco will 135 00:08:00,400 --> 00:08:03,920 Speaker 1: be going to for tat with UH with Trump. But um, 136 00:08:04,080 --> 00:08:06,760 Speaker 1: even Jeff Bush, who a lot of people consider a 137 00:08:06,960 --> 00:08:10,840 Speaker 1: very pro immigrant and and somebody steeped deeply in the 138 00:08:11,040 --> 00:08:14,200 Speaker 1: and and Hispanic culture. UH use the term anchor babies 139 00:08:14,200 --> 00:08:16,840 Speaker 1: for example. At some point everybody was trying to catch 140 00:08:16,920 --> 00:08:19,400 Speaker 1: up to Trump, and it's gonna be very hard for 141 00:08:19,440 --> 00:08:22,560 Speaker 1: these guys to come back from that side of the 142 00:08:22,560 --> 00:08:26,200 Speaker 1: side of the spectrum. Secretary Well, I was just gonna say, 143 00:08:26,240 --> 00:08:29,800 Speaker 1: can can Secretary Clinton then take the Hispanic vote for granted? 144 00:08:29,800 --> 00:08:32,840 Speaker 1: They're going to come to her. No, she cannot take 145 00:08:32,840 --> 00:08:37,520 Speaker 1: the vote for granted, because, um, the issue with Hispanics 146 00:08:37,640 --> 00:08:41,800 Speaker 1: is and Democrats and Republicans is not so much whether 147 00:08:42,160 --> 00:08:46,760 Speaker 1: Latinos will become Republicans and vote Republican. The question is 148 00:08:46,800 --> 00:08:50,120 Speaker 1: whether they will stay home. Has happened in the midterm 149 00:08:50,160 --> 00:08:55,599 Speaker 1: of For example, UH, in Nevada we went to a 150 00:08:55,720 --> 00:09:03,160 Speaker 1: participation among Latinos of and we lost even a Latino 151 00:09:03,840 --> 00:09:09,240 Speaker 1: majority district CD four inter So turn out the key, 152 00:09:09,320 --> 00:09:12,160 Speaker 1: and I wrote this on Twitter the other turnout is everything. 153 00:09:12,840 --> 00:09:14,439 Speaker 1: And you need to give the and you need to 154 00:09:14,520 --> 00:09:16,760 Speaker 1: get all people, and you need to give people not 155 00:09:16,880 --> 00:09:19,920 Speaker 1: just the reason to vote against something, but also an 156 00:09:19,920 --> 00:09:22,920 Speaker 1: alternative to vote for. We would love to have you 157 00:09:23,000 --> 00:09:26,360 Speaker 1: come back when we visit than UH where this was 158 00:09:26,440 --> 00:09:30,920 Speaker 1: its perspective working with Senator Read of Nevada on Latino affairs. 159 00:09:30,960 --> 00:09:36,360 Speaker 1: Prospero Latino is a strategic insight organization. Mike. We're gonna 160 00:09:36,360 --> 00:09:39,440 Speaker 1: go to San Francisco. It's something we have not addressed today. 161 00:09:39,800 --> 00:09:43,000 Speaker 1: We're gonna go to San Francisco here in the next hour. Yes, 162 00:09:43,200 --> 00:09:46,080 Speaker 1: Carol Masser and uh Corey Johnson are out of a 163 00:09:46,080 --> 00:09:50,200 Speaker 1: cybersecurity conference. Um, they have Actually they knew that we 164 00:09:50,200 --> 00:09:51,760 Speaker 1: were going to go to them because they've been reading 165 00:09:51,800 --> 00:09:55,160 Speaker 1: our computer messages earlier. They've learned everything they need to 166 00:09:55,280 --> 00:09:58,960 Speaker 1: learn about. They are conference and really front and center 167 00:09:59,000 --> 00:10:01,680 Speaker 1: on Apple. We know, and that is a major issue 168 00:10:01,679 --> 00:10:06,080 Speaker 1: on Capitol Hill today, Uh, with the hearings on Apple. Yeah, Carol, 169 00:10:06,120 --> 00:10:10,000 Speaker 1: good morning, Hey, good morning guys. Um, we do know everything, Um, 170 00:10:10,520 --> 00:10:14,320 Speaker 1: but yeah, this is all about keeping our digital world safe. 171 00:10:14,360 --> 00:10:17,320 Speaker 1: So you've got Google here, Adobe here, You've got the 172 00:10:17,360 --> 00:10:19,400 Speaker 1: carmakers here, and we're gonna be talking to some of 173 00:10:19,440 --> 00:10:21,840 Speaker 1: them just some of the initiatives that are underway to 174 00:10:21,880 --> 00:10:24,880 Speaker 1: protect everything that's going on in the digital space. So 175 00:10:25,320 --> 00:10:27,680 Speaker 1: kind of fascinating, and you're right, it's front and center 176 00:10:28,000 --> 00:10:31,440 Speaker 1: up on Capitol Hill today with Apple there and also 177 00:10:31,480 --> 00:10:34,240 Speaker 1: the Pentagon talking about some of the cybersecurity initiatives they need. 178 00:10:34,280 --> 00:10:36,880 Speaker 1: So we're going to cover it all here from San Francisco. 179 00:10:37,840 --> 00:10:41,600 Speaker 1: Carol Master, thank you so much again. Super Tuesday programming 180 00:10:41,760 --> 00:10:44,960 Speaker 1: all day on Bloomberg Radio to give you perspective we 181 00:10:45,040 --> 00:10:47,800 Speaker 1: hope away from the asteria, and of course important programming 182 00:10:47,840 --> 00:10:52,199 Speaker 1: tonight with Mark Halpern and John Heilman, with all due respect, 183 00:10:52,880 --> 00:10:54,960 Speaker 1: as we begin to look at the returns for the 184 00:10:55,040 --> 00:10:58,640 Speaker 1: many Super Tuesday states. The good news for me and 185 00:10:58,679 --> 00:11:01,440 Speaker 1: Mike we'll be here or tomorrow morning to pick up 186 00:11:01,440 --> 00:11:04,920 Speaker 1: the debris of the various elections that they give you 187 00:11:05,000 --> 00:11:10,679 Speaker 1: perspective forward on the nation's very political economics. From Washington. 188 00:11:10,960 --> 00:11:12,479 Speaker 1: This is Bloomberg's Surveillance