1 00:00:02,840 --> 00:00:07,440 Speaker 1: Broadcasting live to New York, Bloomberg to Washington, d C, 2 00:00:07,680 --> 00:00:12,920 Speaker 1: bloomber to Boston, Bloomberg twelve Honors, to San Francisco, Bloomberg 3 00:00:13,760 --> 00:00:18,200 Speaker 1: to the Country, Channel one, and around the globe the 4 00:00:18,239 --> 00:00:22,840 Speaker 1: Bloomberg Radio plus Habit Bloomberg dot Com. This is Bloomberk Surveillance. 5 00:00:23,880 --> 00:00:25,680 Speaker 1: Good morning, and it's say thirty on Wall Street. And 6 00:00:25,800 --> 00:00:28,920 Speaker 1: Michael McKee along with Tom Keen, are economic indicators brought 7 00:00:28,920 --> 00:00:31,160 Speaker 1: to you by Commonwealth Financial Network. When it's time to 8 00:00:31,240 --> 00:00:33,800 Speaker 1: change the conversation, talk with the broker dealer r A 9 00:00:33,920 --> 00:00:35,960 Speaker 1: A that's ready to listen call eight six six four 10 00:00:36,080 --> 00:00:38,640 Speaker 1: six two three six three eight or is it Commonwealth 11 00:00:38,680 --> 00:00:42,640 Speaker 1: dot com to learn more? Already people are expecting a 12 00:00:42,720 --> 00:00:46,199 Speaker 1: disappointing first quarter GDP number and Vitey l Judas the 13 00:00:46,200 --> 00:00:49,520 Speaker 1: trade numbers out right now aren't going to help now, Michael, 14 00:00:49,520 --> 00:00:52,640 Speaker 1: they'll lead them more disappointment. The trade deficit widening in 15 00:00:52,720 --> 00:00:56,200 Speaker 1: February to forty seven point one billion dollars more than 16 00:00:56,320 --> 00:00:59,960 Speaker 1: forecast of prior month January revised a bit wider. Here's 17 00:01:00,040 --> 00:01:02,480 Speaker 1: one thing that stands out and filters in the GDP 18 00:01:02,920 --> 00:01:06,960 Speaker 1: capital goods exports basically business investment dropping to the lowest 19 00:01:07,160 --> 00:01:10,720 Speaker 1: since November eleven. Again, the Commerce Department reporting the trade 20 00:01:10,760 --> 00:01:14,920 Speaker 1: deficit February widening to forty seven point one billion dollars, 21 00:01:14,959 --> 00:01:18,240 Speaker 1: more than forecast at the first Word Desk Company delt Judice. 22 00:01:18,319 --> 00:01:20,360 Speaker 1: Let's go back to New York. Of anything so much, 23 00:01:20,640 --> 00:01:22,920 Speaker 1: it is a jumble. An investment is one of the 24 00:01:22,920 --> 00:01:26,000 Speaker 1: themes to speak to Abby Joseph Cohen about. She is 25 00:01:26,000 --> 00:01:29,400 Speaker 1: with Goldman Sachs, and there is of course the idea 26 00:01:29,440 --> 00:01:32,640 Speaker 1: of her framing the equity markets, but the economic backdrop 27 00:01:33,240 --> 00:01:36,760 Speaker 1: to the equity markets is just as important. Michael. Somebody 28 00:01:36,800 --> 00:01:40,040 Speaker 1: who has been maybe more visible than I've seen in 29 00:01:40,240 --> 00:01:43,880 Speaker 1: ages out of Carnegie Mellon and Temper is when c 30 00:01:44,120 --> 00:01:48,440 Speaker 1: Evans of Chicago, Charles Evans speaking last night talking about 31 00:01:48,440 --> 00:01:52,080 Speaker 1: the difficulty of making policy and the difficulty for markets 32 00:01:52,120 --> 00:01:54,920 Speaker 1: given all of the uncertainty in the world right now. 33 00:01:55,720 --> 00:01:58,040 Speaker 1: It's it's it's hard to know what risk might be 34 00:01:58,160 --> 00:02:00,360 Speaker 1: hitting us. That's why you know. I just that we're 35 00:02:00,400 --> 00:02:02,760 Speaker 1: in a period where there are more uncertainties than you 36 00:02:02,760 --> 00:02:06,000 Speaker 1: would normally expected. I think the UH, the EU, I 37 00:02:06,040 --> 00:02:09,840 Speaker 1: think UH refugees coming into the EU. I think the 38 00:02:09,880 --> 00:02:14,520 Speaker 1: Brexit question, decelerating growth in China? How how you know 39 00:02:14,600 --> 00:02:17,320 Speaker 1: comfortably is that kind of take place? Just a whole 40 00:02:17,320 --> 00:02:20,520 Speaker 1: host of issues. If Andy stool so this the U 41 00:02:20,600 --> 00:02:22,440 Speaker 1: S election, let's and I'll get away from that. So 42 00:02:22,520 --> 00:02:24,440 Speaker 1: how does that fix to you? How does that figure 43 00:02:24,480 --> 00:02:25,959 Speaker 1: out and figure in your thinking? I think it's a 44 00:02:26,040 --> 00:02:29,240 Speaker 1: large uncertainty around that too. Um. You know there's a 45 00:02:29,280 --> 00:02:32,400 Speaker 1: lot of different candidates positions there, and I think businesses 46 00:02:32,400 --> 00:02:35,639 Speaker 1: are probably weighing what that means for growth going forward, 47 00:02:35,639 --> 00:02:38,200 Speaker 1: and you know how the administrations would play out. So 48 00:02:38,200 --> 00:02:41,680 Speaker 1: it's just natural uncertainty that comes with elections. Charles Evans 49 00:02:41,720 --> 00:02:46,520 Speaker 1: interviewed on Bloomberg Television Asia by Rashad Salomon. Tom, Well, 50 00:02:46,520 --> 00:02:48,840 Speaker 1: there it is, and that brings in Emmy Joseph Cohen 51 00:02:49,000 --> 00:02:52,679 Speaker 1: from Abby have you ever seen it like this? It's 52 00:02:52,760 --> 00:02:55,520 Speaker 1: if we all assume it's not in the textbooks, negative 53 00:02:55,560 --> 00:02:58,720 Speaker 1: interest rates and what you've heard from Cherry yelling at 54 00:02:58,720 --> 00:03:02,079 Speaker 1: the Economic Club of New York from President Evans, there, 55 00:03:02,200 --> 00:03:05,639 Speaker 1: have you ever seen a jumble as we are now 56 00:03:05,680 --> 00:03:09,240 Speaker 1: in our theory? Now, Tom, I very much like the 57 00:03:09,280 --> 00:03:12,920 Speaker 1: expression you just used, which is a jumble for those 58 00:03:12,960 --> 00:03:15,720 Speaker 1: of us who start out as being counters, you know, 59 00:03:15,800 --> 00:03:19,040 Speaker 1: actually looking at the data and so on. We get 60 00:03:19,080 --> 00:03:22,880 Speaker 1: a story of a picture narrative in the United States 61 00:03:23,120 --> 00:03:29,959 Speaker 1: which is reasonably good. US domestic economy showing sustainable economic growth, 62 00:03:30,000 --> 00:03:33,160 Speaker 1: which is terrific. We're seeing improvements in the labor markets 63 00:03:33,200 --> 00:03:37,000 Speaker 1: and so on. The biggest jumble right now does appear 64 00:03:37,040 --> 00:03:42,480 Speaker 1: to be, let's call it, the geopolitical environment, uh, specifically 65 00:03:42,600 --> 00:03:45,320 Speaker 1: outside the United States. I'll come to the US in 66 00:03:45,360 --> 00:03:48,440 Speaker 1: just a moment. But the time that you spent this 67 00:03:48,480 --> 00:03:52,440 Speaker 1: morning on Greece, for example, and Brexit UM and negative 68 00:03:52,480 --> 00:03:54,880 Speaker 1: interest rates at the top of my list of things 69 00:03:54,960 --> 00:03:57,880 Speaker 1: that we don't quite know how they work out really 70 00:03:57,920 --> 00:04:03,080 Speaker 1: do represent um some new UH and something that investors 71 00:04:03,160 --> 00:04:07,160 Speaker 1: are dramatically puzzling through. The good news about the United 72 00:04:07,200 --> 00:04:10,440 Speaker 1: States is that our central bank made a very conscious 73 00:04:10,440 --> 00:04:14,240 Speaker 1: decision during the financial crisis and the severe recession to 74 00:04:14,320 --> 00:04:17,800 Speaker 1: stay away from negative interest rates for very good reasons. 75 00:04:18,440 --> 00:04:20,400 Speaker 1: But you know, at the top of the list here 76 00:04:20,839 --> 00:04:23,880 Speaker 1: of things that we can't count and we can't calculate 77 00:04:24,040 --> 00:04:27,440 Speaker 1: and we can't model terribly well, of course, UH, the 78 00:04:27,520 --> 00:04:32,800 Speaker 1: impact of the current political scene domestically surrounding the presidential election. 79 00:04:34,320 --> 00:04:38,760 Speaker 1: What do you think is most likely to prove of 80 00:04:38,800 --> 00:04:43,520 Speaker 1: those things to be something that has a lasting effect. Uh, 81 00:04:43,600 --> 00:04:46,920 Speaker 1: if you could tell me today how the election was 82 00:04:46,960 --> 00:04:49,400 Speaker 1: going to turn out, then we might be able to 83 00:04:49,640 --> 00:04:53,600 Speaker 1: judge that. UM. I was very interested in the discussion 84 00:04:53,640 --> 00:04:57,640 Speaker 1: you had earlier this morning about how the Republican nomination 85 00:04:57,680 --> 00:05:01,520 Speaker 1: process may turn out. UM. I'd in an interview first 86 00:05:01,520 --> 00:05:05,200 Speaker 1: week of January in which I was asked who are 87 00:05:05,240 --> 00:05:07,159 Speaker 1: the who are the nominee is going to be? And 88 00:05:07,200 --> 00:05:10,000 Speaker 1: I indicated I thought it would be Mrs Clinton, but 89 00:05:10,080 --> 00:05:13,880 Speaker 1: also Paul Ryan UM trying to give the sense of 90 00:05:13,920 --> 00:05:17,400 Speaker 1: a contested convention. UM. That does now seem to be 91 00:05:17,400 --> 00:05:22,760 Speaker 1: an increasingly likely scenario. From an economic standpoint, the thing 92 00:05:22,839 --> 00:05:26,880 Speaker 1: that I am concerned about, particularly outside the United States, 93 00:05:26,920 --> 00:05:29,839 Speaker 1: are negative interest rates. You know that that made the 94 00:05:29,920 --> 00:05:33,040 Speaker 1: decision to stay away from negative rates here because they 95 00:05:33,080 --> 00:05:35,680 Speaker 1: thought it would be very disruptive. They were concerned about 96 00:05:35,720 --> 00:05:40,119 Speaker 1: the impact on contracts, for example, and on money market 97 00:05:40,200 --> 00:05:42,560 Speaker 1: mutual funds and so on, and so one of the 98 00:05:42,680 --> 00:05:45,400 Speaker 1: things we're all watching carefully is whether the move to 99 00:05:45,480 --> 00:05:50,520 Speaker 1: negative interest rates in Europe and Japan has actually been effective. 100 00:05:51,160 --> 00:05:53,720 Speaker 1: And I would say the jury is still owed. Uh, 101 00:05:53,880 --> 00:05:58,880 Speaker 1: negative interest rates have um something that occurs with him, 102 00:05:58,960 --> 00:06:03,200 Speaker 1: and that is movement lower in the currency of those 103 00:06:03,279 --> 00:06:09,440 Speaker 1: nations UM. And one question is whether the somewhat better 104 00:06:09,520 --> 00:06:12,680 Speaker 1: pace of economic growth in Europe now is that related 105 00:06:12,720 --> 00:06:16,320 Speaker 1: to the decline in the euro relative to the dollar 106 00:06:16,440 --> 00:06:19,080 Speaker 1: over the last several quarters or is it something else. 107 00:06:19,480 --> 00:06:23,320 Speaker 1: The other case to watch, of course, as Japan, where 108 00:06:23,320 --> 00:06:26,560 Speaker 1: the focus of Albynamics in terms of moving to negative 109 00:06:26,560 --> 00:06:30,640 Speaker 1: interest rates was to push up the rate of inflation. 110 00:06:30,720 --> 00:06:34,680 Speaker 1: They're very concerned about ongoing disinflation. And one of the 111 00:06:34,720 --> 00:06:37,920 Speaker 1: interesting anecdotes over the last couple of weeks is that 112 00:06:38,000 --> 00:06:42,359 Speaker 1: the group of labor unions that represent workers in Japan 113 00:06:42,960 --> 00:06:48,320 Speaker 1: actually lowered their wage requests UM and cited negative interest 114 00:06:48,400 --> 00:06:51,640 Speaker 1: rates is the reason for it. So in this particular case, 115 00:06:51,760 --> 00:06:55,360 Speaker 1: it had the opposite impact. UH. Clearly, if they're asking 116 00:06:55,440 --> 00:06:59,839 Speaker 1: for for lower wage increase, that's not inflationary. Let's come back. 117 00:07:00,000 --> 00:07:03,039 Speaker 1: It'd be Joseph Cohen calling the Republican and Democratic race 118 00:07:03,040 --> 00:07:06,480 Speaker 1: in January, I might point out MS Cohen called the 119 00:07:06,520 --> 00:07:10,040 Speaker 1: Washington Capitals to be the best team in hockey. She 120 00:07:10,160 --> 00:07:12,920 Speaker 1: did that in August of last year. We are in 121 00:07:13,120 --> 00:07:20,240 Speaker 1: awe and out of the news. In New York, Michael Barr, Tom, Mike, 122 00:07:20,280 --> 00:07:22,480 Speaker 1: thank you very much. Donald Trump says he would make 123 00:07:22,520 --> 00:07:25,600 Speaker 1: Mexico pay for a border wall by blocking billions of 124 00:07:25,640 --> 00:07:30,080 Speaker 1: dollars in payments and immigrants sent back to Mexico. According 125 00:07:30,120 --> 00:07:32,520 Speaker 1: to a report in The Washington Post, the Republican front 126 00:07:32,600 --> 00:07:35,040 Speaker 1: runner would force Mexico to pay for the ball by 127 00:07:35,160 --> 00:07:39,440 Speaker 1: threatening to stop remittances until the nation made a one 128 00:07:39,480 --> 00:07:42,320 Speaker 1: time payment of five to ten billion dollars to the US. 129 00:07:42,960 --> 00:07:46,840 Speaker 1: Voters had to polls today in Wisconsin's primaries. Republican Ted 130 00:07:46,920 --> 00:07:49,440 Speaker 1: Cruz leads in polling in the state. Cruz had a 131 00:07:49,560 --> 00:07:54,560 Speaker 1: rally last night in Wacasha. All across Wisconsin, all across 132 00:07:54,640 --> 00:07:59,440 Speaker 1: this country, people are waking up and help is on 133 00:07:59,520 --> 00:08:03,400 Speaker 1: the way. Cruis and Marca Shaw for the Democrats. Bernie 134 00:08:03,400 --> 00:08:07,280 Speaker 1: Sanders leads and polling in Wisconsin. Villanova University students are 135 00:08:07,280 --> 00:08:09,280 Speaker 1: getting a holiday today after their team when the n 136 00:08:09,280 --> 00:08:12,920 Speaker 1: C double a men's basketball tournament. The university canceled classes 137 00:08:13,000 --> 00:08:16,400 Speaker 1: as students celebrated in Many fans behaved and they were 138 00:08:16,400 --> 00:08:20,200 Speaker 1: full of joy. Some fans celebrated on Knucklehead Street police 139 00:08:20,240 --> 00:08:23,280 Speaker 1: say six people were arrested, twenty five were injured in 140 00:08:23,320 --> 00:08:26,200 Speaker 1: the celebrations, and one of those arrested was accused of 141 00:08:26,240 --> 00:08:30,280 Speaker 1: assaulting a state police horse. Global News twenty You know 142 00:08:30,360 --> 00:08:35,000 Speaker 1: it's nowhere to go after that. Back to you, guys, Chris. 143 00:08:35,400 --> 00:08:38,679 Speaker 1: Chris Whalen was out on Central Park South last night 144 00:08:39,200 --> 00:08:42,320 Speaker 1: riding one of those carriacters out the horse, riding one 145 00:08:42,360 --> 00:08:47,760 Speaker 1: of those carriages around. Why can't we say, from the 146 00:08:48,040 --> 00:08:51,280 Speaker 1: Vaca Sports let's bring in John's talking about the game, 147 00:08:51,360 --> 00:08:53,199 Speaker 1: not the horse. Well a should be the one guy 148 00:08:53,240 --> 00:08:55,560 Speaker 1: who should be forced to go to class today. All right, 149 00:08:55,640 --> 00:08:57,720 Speaker 1: we made the Finnish to last night's n C Double 150 00:08:57,760 --> 00:09:01,480 Speaker 1: A Final in Houston. So stunning. Wasn't just the championship 151 00:09:01,480 --> 00:09:04,400 Speaker 1: winning three pointer at the buzzer by Villanova's Chris Jenkins. 152 00:09:04,480 --> 00:09:06,920 Speaker 1: It's what happened to get to that point. North Carolina 153 00:09:06,960 --> 00:09:09,800 Speaker 1: was down ten with under five minutes ago. They got 154 00:09:09,800 --> 00:09:13,800 Speaker 1: even in remarkable fashion. Heye talking to three here all 155 00:09:13,920 --> 00:09:19,480 Speaker 1: have hey, just this answer from funny Free here rights 156 00:09:19,559 --> 00:09:24,760 Speaker 1: at home four point seven seconds to go. Mark this 157 00:09:25,080 --> 00:09:28,840 Speaker 1: page ties the title game. That's somebody call it was 158 00:09:28,880 --> 00:09:31,880 Speaker 1: the first Tyson's forty six all Westwood one on the call, 159 00:09:31,960 --> 00:09:35,040 Speaker 1: but the turning most outstanding player, Ryan rchi Diakano, handed 160 00:09:35,040 --> 00:09:38,560 Speaker 1: off to Jenkins. He hit the shot that we replayed forever. 161 00:09:39,080 --> 00:09:42,000 Speaker 1: Noba won seventy seven seventy four. Jenkins will probably never 162 00:09:42,080 --> 00:09:45,240 Speaker 1: have to pay for him another meal in Philadelphia, so 163 00:09:45,360 --> 00:09:47,079 Speaker 1: to the Third Tribe, but the Rangers nailed down a 164 00:09:47,080 --> 00:09:50,000 Speaker 1: playoff birth Port two at Columbus. However, captain Ryan mccuttough 165 00:09:50,320 --> 00:09:52,760 Speaker 1: left the game locked the shot. Upper body injury will 166 00:09:52,760 --> 00:09:55,959 Speaker 1: be reevaluated. Today Islanders won five two over Tampa Bay. 167 00:09:55,960 --> 00:09:58,200 Speaker 1: It'll be cold but a day late. Yankees and Astros 168 00:09:58,480 --> 00:10:00,480 Speaker 1: set to start the season today at the Stadium in 169 00:10:00,520 --> 00:10:03,559 Speaker 1: game two for the matches this afternoon in Kansas City 170 00:10:03,600 --> 00:10:07,640 Speaker 1: with the Bloomberg NBC Sports Update. I'm John's John, Thanks 171 00:10:07,679 --> 00:10:09,720 Speaker 1: so much, Mike. Did you watch any of the swarry 172 00:10:09,920 --> 00:10:13,960 Speaker 1: last night? Yes, we know one had to had to 173 00:10:14,000 --> 00:10:16,960 Speaker 1: tune in. It was It was quite an any I mean, 174 00:10:17,080 --> 00:10:20,320 Speaker 1: twenty two seconds left Villanova up by three and then 175 00:10:20,960 --> 00:10:24,800 Speaker 1: uh North Carolina ties it on that amazing three point 176 00:10:24,800 --> 00:10:27,360 Speaker 1: shot and then who who could have figured what happened 177 00:10:27,400 --> 00:10:31,040 Speaker 1: at the end? Marvell Technology. We covered this this morning 178 00:10:31,360 --> 00:10:37,280 Speaker 1: because Mike they they've shown the CEO the door. Thanks 179 00:10:37,280 --> 00:10:39,920 Speaker 1: to zero Heads for bringing up to Bloomberg headline. We 180 00:10:40,000 --> 00:10:42,520 Speaker 1: missed things here. Folks were so busy and there's so 181 00:10:42,600 --> 00:10:46,800 Speaker 1: much news flow. Seven thousand Tuner employees domiciled out of 182 00:10:46,840 --> 00:10:53,520 Speaker 1: Hamilton's Bermuda in Marvell Technology uh the CEO president employment 183 00:10:54,120 --> 00:11:03,120 Speaker 1: terminated by board Bloomberg Surveillance. Bloomberg's aveillance brought you by Untucked. 184 00:11:03,120 --> 00:11:05,080 Speaker 1: Think your shirt is too long to wear untucked? It 185 00:11:05,120 --> 00:11:08,480 Speaker 1: probably is. Untucket has solved this, making shirts designed to 186 00:11:08,480 --> 00:11:13,360 Speaker 1: be worn untucked. Visit untucket dot com and use the 187 00:11:13,360 --> 00:11:19,600 Speaker 1: code w BBR for global business news twenty four hours 188 00:11:19,600 --> 00:11:22,720 Speaker 1: a day. If Bloomberg dot Com the Radio plus Mobile 189 00:11:22,760 --> 00:11:26,080 Speaker 1: act and on your radio. This is a Bloomberg business 190 00:11:26,120 --> 00:11:29,360 Speaker 1: flash and I'm car in Moscow. This update has brought 191 00:11:29,360 --> 00:11:33,199 Speaker 1: to you by Bentley Universities. Prepared You project or Millennials 192 00:11:33,240 --> 00:11:36,079 Speaker 1: ready for the workplace that prepared you research study has 193 00:11:36,200 --> 00:11:39,439 Speaker 1: answers that might surprise you. Visit Bentley dot E d 194 00:11:39,600 --> 00:11:44,200 Speaker 1: U slash prepared to download an infographic overview. America's trade 195 00:11:44,200 --> 00:11:46,920 Speaker 1: deficit widen in February to s six month high as 196 00:11:46,960 --> 00:11:49,520 Speaker 1: an increase in imports exceeded a more modest pickup and 197 00:11:49,559 --> 00:11:52,920 Speaker 1: shipments overseas. The gap increased two point six percent to 198 00:11:53,000 --> 00:11:56,160 Speaker 1: forty seven point one billion dollars from a revised forty 199 00:11:56,200 --> 00:11:59,160 Speaker 1: five point nine billion in January at ten o'clock Wall 200 00:11:59,200 --> 00:12:01,600 Speaker 1: Street time to get the Jolts Jobs reports the end 201 00:12:01,640 --> 00:12:04,360 Speaker 1: jumping to a seventeen month high. Government bonds are climbing 202 00:12:04,400 --> 00:12:08,120 Speaker 1: is increasing. Concern that global economic growth is faltering stokes 203 00:12:08,120 --> 00:12:11,240 Speaker 1: demand for haven assets. Stocks are falling around the world. 204 00:12:11,440 --> 00:12:14,040 Speaker 1: To check the markets every fifteen minutes throughout the trading 205 00:12:14,120 --> 00:12:17,720 Speaker 1: day on Bloomberg SNP EVENI futures down eighteen points downie 206 00:12:17,720 --> 00:12:20,240 Speaker 1: Many futures down a hundred twenty nine and Nasdaki many 207 00:12:20,320 --> 00:12:23,520 Speaker 1: futures down thirty four decks. In Germany's down two point 208 00:12:23,800 --> 00:12:26,360 Speaker 1: or two and a half percent. Ten Your treasury up 209 00:12:26,360 --> 00:12:29,520 Speaker 1: twelve thirty seconds, the yield one point seven two percent. Now, 210 00:12:29,559 --> 00:12:31,600 Speaker 1: I'm ex scrude oil down eight tenths per cent or 211 00:12:31,600 --> 00:12:34,120 Speaker 1: twenty nine cents to thirty five forty one A barrel 212 00:12:34,360 --> 00:12:37,240 Speaker 1: comes gold is up one point four percent, or seventeen 213 00:12:37,280 --> 00:12:40,480 Speaker 1: dollars fifty cents at twelve thirty six eighty announced the 214 00:12:40,559 --> 00:12:43,480 Speaker 1: euro a dollar thirteen seventy seven, the yen one ten 215 00:12:43,559 --> 00:12:46,520 Speaker 1: point five nine. That's a Bloomberg Business Flash, Tom and 216 00:12:46,600 --> 00:12:50,600 Speaker 1: Mike Karen, thanks so much. It is on Wall Street. 217 00:12:51,840 --> 00:12:55,400 Speaker 1: The following is from Bloomberg View. Opinions and commentary from 218 00:12:55,400 --> 00:12:59,960 Speaker 1: Bloomberg columnists. I'm Justin Fox, columnist for Bloomberg View. We've 219 00:13:00,040 --> 00:13:02,720 Speaker 1: been hearing a lot about the growth of the gig economy. 220 00:13:03,000 --> 00:13:06,600 Speaker 1: Now we actually have some numbers. Two economists, replicating a 221 00:13:06,640 --> 00:13:09,319 Speaker 1: survey that the government stopped doing in two thousand five 222 00:13:09,440 --> 00:13:12,320 Speaker 1: due to funding constraints, have found that the share of 223 00:13:12,440 --> 00:13:16,720 Speaker 1: US workers in alternative work arrangements rose from ten point 224 00:13:16,840 --> 00:13:20,320 Speaker 1: one percent and two thousand five to fifteen point eight 225 00:13:20,320 --> 00:13:23,480 Speaker 1: percent and two thousand fifteen. This accounted for all the 226 00:13:23,520 --> 00:13:26,520 Speaker 1: net employment growth in the US over those years. These 227 00:13:26,520 --> 00:13:31,319 Speaker 1: alternative workers are independent contractors, on call workers, and workers 228 00:13:31,320 --> 00:13:35,319 Speaker 1: provided by contract firms and temporary help agencies. Few are 229 00:13:35,320 --> 00:13:38,400 Speaker 1: getting their gigs via online platforms such as Uber or 230 00:13:38,400 --> 00:13:41,760 Speaker 1: task Grabbit. That shouldn't be too surprising. This survey aimed 231 00:13:41,760 --> 00:13:45,520 Speaker 1: to identify people with alternative work arrangements in their main jobs, 232 00:13:45,840 --> 00:13:48,560 Speaker 1: and other studies have found that most people selling services 233 00:13:48,559 --> 00:13:51,840 Speaker 1: in the online gig economy are moonlighting. What is a 234 00:13:51,880 --> 00:13:54,960 Speaker 1: little surprising is that workers fifty five and older and 235 00:13:54,960 --> 00:13:57,960 Speaker 1: those with college educations are much more likely to be 236 00:13:58,000 --> 00:14:00,960 Speaker 1: in alternative work arrangements than others. The growth of the 237 00:14:01,000 --> 00:14:04,079 Speaker 1: gay economy is being driven not so much by struggling 238 00:14:04,120 --> 00:14:08,320 Speaker 1: millennials as by well educated sixty year olds. I'm justin Fox, 239 00:14:08,360 --> 00:14:12,199 Speaker 1: a columnist for Bloomberg View. For more Bloomberg opinion and commentary, 240 00:14:12,280 --> 00:14:15,120 Speaker 1: please got a Bloomberg View dot com or view, go 241 00:14:15,440 --> 00:14:19,040 Speaker 1: on the Bloomberg terminal. This has been Bloomberg View and 242 00:14:19,040 --> 00:14:23,400 Speaker 1: Bloomerview commentaries come here in hourly weekdays. I'm Bloomberg Radio. 243 00:14:23,440 --> 00:14:27,160 Speaker 1: Abbe Joseph Cohen with us with Golden Sachs obviously uh. 244 00:14:27,320 --> 00:14:31,480 Speaker 1: She is institute president and senior investment strategist for them. 245 00:14:31,520 --> 00:14:35,160 Speaker 1: Abbey um, let's cut through the mathematics of the c 246 00:14:35,400 --> 00:14:39,200 Speaker 1: f A institute. Let's cut through the reaction functions. I 247 00:14:39,200 --> 00:14:42,680 Speaker 1: love Glenn Hubbard's question to chere yelling on reaction functions 248 00:14:42,720 --> 00:14:46,080 Speaker 1: the other day, and let's talk about common sense. Would 249 00:14:46,080 --> 00:14:50,080 Speaker 1: you please explain how I can retain ownership of shares 250 00:14:50,800 --> 00:14:55,560 Speaker 1: or acquire shares this morning? And an iconic American blue 251 00:14:55,640 --> 00:15:00,400 Speaker 1: chip seventeen billion in revenues, trading at twenty five times earnings, 252 00:15:00,840 --> 00:15:03,920 Speaker 1: with a two percent yield, two point two percent yield, 253 00:15:04,360 --> 00:15:08,320 Speaker 1: and it's dividend growth to seven point five Yet everybody 254 00:15:08,400 --> 00:15:12,120 Speaker 1: loves it. Why are we buying these consumer stocks and 255 00:15:12,280 --> 00:15:16,160 Speaker 1: pricing them to perfection? We're doing that, Tom, and that's 256 00:15:16,160 --> 00:15:19,560 Speaker 1: a wonderful question because people are nervous. You know, as 257 00:15:19,600 --> 00:15:22,520 Speaker 1: we spoke about earlier, there's a whole long list of 258 00:15:22,560 --> 00:15:25,640 Speaker 1: things that are troubling people. Some of it related to 259 00:15:25,680 --> 00:15:28,880 Speaker 1: the economy, some of it related to the political environment, 260 00:15:28,920 --> 00:15:31,360 Speaker 1: and some of it related to the rest of the world. 261 00:15:31,720 --> 00:15:34,360 Speaker 1: But the valuation work that we do, which we think 262 00:15:34,440 --> 00:15:38,800 Speaker 1: is an important part of industry selection and stock selection, 263 00:15:39,280 --> 00:15:42,480 Speaker 1: shows that there is now there's very wide diversions before 264 00:15:42,800 --> 00:15:46,000 Speaker 1: between the so called safe names and the ones that 265 00:15:46,120 --> 00:15:50,000 Speaker 1: depend upon some economic growth UM, and our feeling is 266 00:15:50,040 --> 00:15:53,400 Speaker 1: that that's where you go for the opportunity UM. You know, 267 00:15:53,440 --> 00:15:56,680 Speaker 1: there's a way to use evaluation model to reverse engineer it. 268 00:15:57,080 --> 00:16:00,440 Speaker 1: If you assume, for example, that today's price is correct, 269 00:16:01,080 --> 00:16:03,920 Speaker 1: you can then solve it and say, okay, what is 270 00:16:03,960 --> 00:16:07,880 Speaker 1: the five year earnings growth number that would make today's 271 00:16:07,920 --> 00:16:10,880 Speaker 1: price the right number. And by the way, in March 272 00:16:10,920 --> 00:16:14,240 Speaker 1: two thousand nine, which turned out to be the bottom 273 00:16:14,480 --> 00:16:17,960 Speaker 1: of the bearer market, the overall SMP five hundred was 274 00:16:18,040 --> 00:16:21,840 Speaker 1: trading as if five year earnings growth each and every 275 00:16:21,920 --> 00:16:25,080 Speaker 1: year would be a minus eight to minus ten. So, 276 00:16:25,120 --> 00:16:27,880 Speaker 1: if you use the same sort of analysis today, which 277 00:16:27,920 --> 00:16:31,360 Speaker 1: of the industries and sectors that look most attractive because 278 00:16:31,560 --> 00:16:35,120 Speaker 1: what's being priced in is negative earnings growth And at 279 00:16:35,120 --> 00:16:41,120 Speaker 1: the top of the list would be names like financials, industrials, UH, telecom, 280 00:16:41,120 --> 00:16:46,960 Speaker 1: and healthcare. Well, if you're looking at those, how long 281 00:16:47,000 --> 00:16:49,640 Speaker 1: is it going to take to get to, you know, 282 00:16:49,760 --> 00:16:54,560 Speaker 1: the point where it's worthwhile? UM? Also very interesting question, 283 00:16:54,760 --> 00:16:58,320 Speaker 1: and I will turn it back to you and say 284 00:16:58,480 --> 00:17:04,119 Speaker 1: when will people being nervous about item number one the 285 00:17:04,280 --> 00:17:08,800 Speaker 1: presidential election? And with history basically shows is that as 286 00:17:08,840 --> 00:17:13,119 Speaker 1: you approach November and as it becomes increasingly clear who's 287 00:17:13,160 --> 00:17:16,400 Speaker 1: going to win, markets tend to calm down, and they 288 00:17:16,400 --> 00:17:22,160 Speaker 1: tend to take on a longer time horizon. By the way, UM, usually, 289 00:17:22,320 --> 00:17:25,479 Speaker 1: but not all the time, in the United States, the 290 00:17:25,760 --> 00:17:30,199 Speaker 1: candidate with the most popular support becomes president UM, and 291 00:17:30,280 --> 00:17:34,560 Speaker 1: so most people feel increasingly good about the environment because 292 00:17:34,760 --> 00:17:38,080 Speaker 1: most people are supporting the winner. UM. The other thing, 293 00:17:38,119 --> 00:17:40,360 Speaker 1: of course, that is very much up in the air 294 00:17:40,640 --> 00:17:46,000 Speaker 1: is the global economy. UM. We are UM a bulwark 295 00:17:46,280 --> 00:17:49,399 Speaker 1: of strong growth in the United States. It's on a 296 00:17:49,440 --> 00:17:53,680 Speaker 1: relative basis UM. And the concerns that we have really 297 00:17:53,840 --> 00:17:59,119 Speaker 1: related to Europe UM, Latin America and some parts of Asia. 298 00:17:59,240 --> 00:18:01,480 Speaker 1: But there's a hard matter. Have you one more question 299 00:18:01,520 --> 00:18:03,320 Speaker 1: and will let you go. I just created a chart 300 00:18:03,359 --> 00:18:08,119 Speaker 1: for tomorrow's television show which shows the miracle of US 301 00:18:08,240 --> 00:18:12,520 Speaker 1: nominal GDP since the ugliness of OH eight, as compared 302 00:18:12,560 --> 00:18:16,399 Speaker 1: to the animal spirit nominal GDP of the Eurozone. Do 303 00:18:16,440 --> 00:18:20,439 Speaker 1: you buy the value of these troubled economies or do 304 00:18:20,480 --> 00:18:23,240 Speaker 1: you go with the creative destruction of the United States 305 00:18:23,560 --> 00:18:27,040 Speaker 1: where yeah, it's recovered, but there's further to go. Which 306 00:18:27,040 --> 00:18:30,560 Speaker 1: way is it? My preference, UM is the US, And 307 00:18:30,680 --> 00:18:33,439 Speaker 1: some of my Goldman SAX colleagues may disagree with me. 308 00:18:33,920 --> 00:18:35,480 Speaker 1: But when I take a look at some of these 309 00:18:35,520 --> 00:18:38,120 Speaker 1: other nations, I say, you know what, they're dealing with 310 00:18:38,200 --> 00:18:43,080 Speaker 1: some longer term structural issues. Their potential economic growth has 311 00:18:43,119 --> 00:18:46,160 Speaker 1: been hurt by their failure to invest in the future. 312 00:18:46,560 --> 00:18:50,200 Speaker 1: They have very slow population growth, UM, and they they're 313 00:18:50,240 --> 00:18:54,080 Speaker 1: not as innovative as as is the United States, So 314 00:18:54,280 --> 00:18:57,080 Speaker 1: I I always come back UM to the US. The 315 00:18:57,119 --> 00:18:59,240 Speaker 1: other thing I would point to is that we have 316 00:18:59,320 --> 00:19:03,280 Speaker 1: had much more effective government policy. Our FED and other 317 00:19:03,320 --> 00:19:07,200 Speaker 1: regulators really took a tough love approach during the financial 318 00:19:07,240 --> 00:19:10,600 Speaker 1: crisis in early stages of the recession. That's just now 319 00:19:10,680 --> 00:19:14,320 Speaker 1: happening in some of these other countries, and that does 320 00:19:14,400 --> 00:19:16,560 Speaker 1: have a problem. What I would love to see in 321 00:19:16,600 --> 00:19:19,840 Speaker 1: the US, though, is more effective use of fiscal policy. 322 00:19:20,200 --> 00:19:23,280 Speaker 1: Let's take advantage of these low interestrates to do things 323 00:19:23,359 --> 00:19:26,919 Speaker 1: like build and rebuild our infrastructure. And it's not just 324 00:19:26,960 --> 00:19:30,159 Speaker 1: the roads and the bridges, it's also high speed broadband 325 00:19:30,200 --> 00:19:33,680 Speaker 1: access for everyone. Here Abby Joseph Cohen on tough love. 326 00:19:33,800 --> 00:19:36,639 Speaker 1: She learned all that from Barry Trots of the Washington Capitals. 327 00:19:36,640 --> 00:19:38,720 Speaker 1: We know she did that. We'll have her back on 328 00:19:38,880 --> 00:19:42,400 Speaker 1: as the Stanley Cup comes through, and uh get her 329 00:19:42,440 --> 00:19:45,600 Speaker 1: hockey update here on the Hockey Network. Ms Cohn is 330 00:19:45,640 --> 00:19:51,160 Speaker 1: with Goldman Sex Mike Valiant headlines which are like so 331 00:19:51,240 --> 00:19:57,480 Speaker 1: what except the stock moves nice up plus move Valiant 332 00:19:57,720 --> 00:20:01,240 Speaker 1: shares at the moment of since it wasn't as much 333 00:20:01,240 --> 00:20:05,159 Speaker 1: as sevented immediate reaction to a release from Valiant and 334 00:20:05,320 --> 00:20:09,720 Speaker 1: saying a special board committee found no additional accounting issues 335 00:20:09,760 --> 00:20:12,719 Speaker 1: at the company that would require more restatements. It plans 336 00:20:12,720 --> 00:20:15,480 Speaker 1: to file its annual report. Remember it had been delayed 337 00:20:15,960 --> 00:20:20,200 Speaker 1: on or before. It is a rounding era after the 338 00:20:20,320 --> 00:20:24,879 Speaker 1: drop in the middle of March from seventy down to 339 00:20:25,760 --> 00:20:30,479 Speaker 1: six and the last oh a couple of weeks. Then 340 00:20:30,600 --> 00:20:33,840 Speaker 1: excuse me, the last ten trading days have really been 341 00:20:33,960 --> 00:20:38,520 Speaker 1: ugly for Valiant. Not dramatic. Nevertheless, this is a stock 342 00:20:39,080 --> 00:20:42,160 Speaker 1: that couldn't find a bid. It does this morning because 343 00:20:42,200 --> 00:20:48,120 Speaker 1: Mike mentions up over TENET one is the active pre marketing. 344 00:20:48,760 --> 00:20:52,399 Speaker 1: We'll see where that goes twenty nine. Excuse me. That 345 00:20:52,440 --> 00:20:55,520 Speaker 1: gets it back to evaluation of Oh, I'm gonna call 346 00:20:55,600 --> 00:21:03,640 Speaker 1: it marche. We'll see once the stock opens and it's 347 00:21:03,680 --> 00:21:06,800 Speaker 1: about we've got Abbie Joseph Cohen on Love or Hater. 348 00:21:06,960 --> 00:21:10,600 Speaker 1: Everybody loves to hear from Ms Joseph Cohen. You go, 349 00:21:10,720 --> 00:21:13,400 Speaker 1: should we cut off amby Joseph to talk about Valiant? 350 00:21:13,520 --> 00:21:16,160 Speaker 1: But this time we make the decision because we did 351 00:21:16,160 --> 00:21:20,520 Speaker 1: get a Valiant stock move in the stock. It has 352 00:21:20,560 --> 00:21:25,320 Speaker 1: been a big news the NFL is apparently confirming the 353 00:21:25,359 --> 00:21:28,399 Speaker 1: Twitter deal, but they're still not telling us what is it, 354 00:21:28,600 --> 00:21:31,159 Speaker 1: what they're going to pay for this. They're not going 355 00:21:31,200 --> 00:21:34,400 Speaker 1: to pay, but what is it little tweets? He has 356 00:21:35,560 --> 00:21:37,800 Speaker 1: no They're going to on the moment apparently on the 357 00:21:37,880 --> 00:21:41,639 Speaker 1: moments uh part of the app, they're going to stream 358 00:21:41,680 --> 00:21:44,200 Speaker 1: the game and then side by side you can watch 359 00:21:44,720 --> 00:21:49,240 Speaker 1: tweets about the game. Um, we know that NBC paide 360 00:21:51,440 --> 00:21:54,199 Speaker 1: billion dollars for rights for the next five years or 361 00:21:54,240 --> 00:21:57,600 Speaker 1: so too to carry this, So I mean this is 362 00:21:57,640 --> 00:22:03,000 Speaker 1: a this is an expensive game to get into million 363 00:22:03,040 --> 00:22:05,879 Speaker 1: a game NBC InCom CBS. You wonder where all this 364 00:22:06,320 --> 00:22:10,440 Speaker 1: million again five years because like in hockey, NBC Sports 365 00:22:10,480 --> 00:22:13,480 Speaker 1: has the game or MSG or this, that or the 366 00:22:13,520 --> 00:22:15,320 Speaker 1: other thing. And you want to get an Apple TV 367 00:22:15,440 --> 00:22:19,560 Speaker 1: and you can Bloomberg surveillance on Twitter. We're actually we're there. 368 00:22:19,680 --> 00:22:27,119 Speaker 1: We're streaming on streaming. I say on Twitter, we pay them. 369 00:22:27,240 --> 00:22:28,680 Speaker 1: It's Bloomberg surveillance.