1 00:00:09,880 --> 00:00:13,880 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keene Jay Leie. 2 00:00:13,960 --> 00:00:17,560 Speaker 1: We bring you insight from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,520 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,600 --> 00:00:27,440 Speaker 1: Bloomberg dot Com, and of course, on the Bloomberg from 5 00:00:27,440 --> 00:00:30,000 Speaker 1: New York City. Good morning to you Wall on the 6 00:00:30,040 --> 00:00:32,760 Speaker 1: Bloomberg Radio and on Bloomberg TV. I'm really happy to 7 00:00:32,760 --> 00:00:36,280 Speaker 1: say that the National Economic Councils Director Larry Cutlow joins 8 00:00:36,360 --> 00:00:38,760 Speaker 1: us now in reaction to the payrolls report. Larry always 9 00:00:38,760 --> 00:00:42,080 Speaker 1: great to get your thoughts on payrolls Thursday this time around, 10 00:00:42,120 --> 00:00:44,159 Speaker 1: and I think everyone just wants the initial reaction to 11 00:00:44,159 --> 00:00:46,240 Speaker 1: the job's report and what it means for the next 12 00:00:46,320 --> 00:00:49,960 Speaker 1: fiscal package. How did these numbers shape the fiscal effort 13 00:00:49,960 --> 00:00:53,840 Speaker 1: in Washington over the next several weeks. Well, look, first 14 00:00:53,880 --> 00:00:57,160 Speaker 1: of all, it's as spectacular number and it helps the 15 00:00:57,200 --> 00:01:01,840 Speaker 1: overall situation enormously, So you know, that's really the key point. 16 00:01:02,080 --> 00:01:04,280 Speaker 1: We've created a lot of jobs in the last couple 17 00:01:04,319 --> 00:01:07,720 Speaker 1: of months, and the trends continue. I want to say 18 00:01:07,760 --> 00:01:11,480 Speaker 1: one thing I was listening to that earlier conversation. I 19 00:01:11,520 --> 00:01:16,039 Speaker 1: don't think people understand that relationship. The rescue package that 20 00:01:16,200 --> 00:01:20,280 Speaker 1: the President led with bipartisan support and Congress, and the 21 00:01:20,360 --> 00:01:24,680 Speaker 1: p p P that Secretary manution Uh fostered and implemented. 22 00:01:25,280 --> 00:01:29,399 Speaker 1: It's the temporary layoffs, John, it's the furloughs that are 23 00:01:29,440 --> 00:01:34,600 Speaker 1: coming down. We kept people connected to their employers. Okay, 24 00:01:34,760 --> 00:01:38,319 Speaker 1: they did receive assistance, but we kept them connected so 25 00:01:38,400 --> 00:01:42,479 Speaker 1: that as the economy reopened and the businesses reopened, roughly 26 00:01:43,360 --> 00:01:46,160 Speaker 1: of small business reopened. So we saw it again today. 27 00:01:46,400 --> 00:01:49,680 Speaker 1: I mean, sixty three and a half percent of unemployed 28 00:01:50,120 --> 00:01:54,320 Speaker 1: now are temporary workers. That number was seventy and was 29 00:01:54,440 --> 00:01:58,160 Speaker 1: seven point seven million. I don't see why that trend 30 00:01:58,280 --> 00:02:01,480 Speaker 1: can continue. That's the point making I don't. I'm not sure. 31 00:02:01,480 --> 00:02:05,280 Speaker 1: It's like an intellectual disconnect why that trend can continue. 32 00:02:05,440 --> 00:02:08,200 Speaker 1: A lot of temporary layer us will go back to work. 33 00:02:08,520 --> 00:02:10,079 Speaker 1: I think a lot of people believe you can't extra 34 00:02:10,200 --> 00:02:12,360 Speaker 1: polay this out too far because we've had to slow 35 00:02:12,360 --> 00:02:15,639 Speaker 1: down or reverse the reopenings elsewhere, Larry, and for that reason, 36 00:02:15,680 --> 00:02:18,000 Speaker 1: many people think more help is needed. This is what 37 00:02:18,040 --> 00:02:19,760 Speaker 1: the President had to say in the last twenty four 38 00:02:19,760 --> 00:02:22,919 Speaker 1: hours when he was asked about more direct payments for individuals. 39 00:02:22,960 --> 00:02:25,160 Speaker 1: He said, I support it, but it has to be 40 00:02:25,200 --> 00:02:28,799 Speaker 1: done properly, and I support actually larger numbers than the Democrats. 41 00:02:28,960 --> 00:02:31,640 Speaker 1: So that doesn't sound like a consideration anymore. It sounds 42 00:02:31,680 --> 00:02:35,000 Speaker 1: like the President's made a decision. It's not a fair characterization. 43 00:02:35,080 --> 00:02:38,520 Speaker 1: Larry Well, No, I don't think final decision has been 44 00:02:38,520 --> 00:02:42,600 Speaker 1: made at all. Uh. President has always favored that, but 45 00:02:42,760 --> 00:02:45,040 Speaker 1: he wants it to be done in a very smart way, 46 00:02:45,040 --> 00:02:47,880 Speaker 1: in in a targeted way. So I think the shape 47 00:02:47,880 --> 00:02:50,200 Speaker 1: of any kind of package is still very much up 48 00:02:50,240 --> 00:02:53,400 Speaker 1: in the air. Look, he has emphasized a number of 49 00:02:53,440 --> 00:02:58,360 Speaker 1: programs now again, negotiations won't formally begin until after the 50 00:02:58,400 --> 00:03:01,880 Speaker 1: recess to life worth recess. He's talked about payroll tax cut. 51 00:03:02,520 --> 00:03:07,720 Speaker 1: He's talked about reemployment benefits and bonuses because we don't 52 00:03:07,760 --> 00:03:10,799 Speaker 1: like the six hundred dollars plus up on unemployment. It's 53 00:03:10,800 --> 00:03:15,040 Speaker 1: a disincentive to work. He's talked about helping the restaurant industry, 54 00:03:15,360 --> 00:03:20,160 Speaker 1: the tourism ministry, the entertainment industry with better business write offs. 55 00:03:20,360 --> 00:03:24,040 Speaker 1: He's talked about capital gains, He's talked about investment rite offs. 56 00:03:24,160 --> 00:03:26,800 Speaker 1: There's still a very large package here, and you know, 57 00:03:26,840 --> 00:03:29,720 Speaker 1: we won't know until we go into these negotiations. So 58 00:03:30,080 --> 00:03:33,520 Speaker 1: he's right, Uh, everything's on the table. Where many things 59 00:03:33,520 --> 00:03:35,840 Speaker 1: are on the table. It's just a question of shaping 60 00:03:35,840 --> 00:03:38,880 Speaker 1: it and do it smart. I thought the original rescue 61 00:03:38,880 --> 00:03:41,920 Speaker 1: package was very smart. I don't know if everything has 62 00:03:41,960 --> 00:03:45,360 Speaker 1: to apply all over again, we'll see. We assess the economy, 63 00:03:45,480 --> 00:03:48,080 Speaker 1: that's the key point. Well, let's assess the dates up. 64 00:03:48,240 --> 00:03:51,080 Speaker 1: What's the evidence of the enhanced unemployment benefits of being 65 00:03:51,120 --> 00:03:55,600 Speaker 1: a disincentive through sense of work? Well, right now, I 66 00:03:55,640 --> 00:03:59,480 Speaker 1: can only give you anecdotal evidence. I hear this a 67 00:03:59,520 --> 00:04:02,680 Speaker 1: lot of his Here this secretary minution, here's this um 68 00:04:02,840 --> 00:04:07,640 Speaker 1: Jane Scalia at labor. So many business people have said 69 00:04:07,680 --> 00:04:11,760 Speaker 1: to us, particularly the smaller business, particularly some sense the 70 00:04:11,800 --> 00:04:15,880 Speaker 1: most vulnerable to the pandemic, the restaurants, the small stores 71 00:04:15,880 --> 00:04:20,560 Speaker 1: and shops. They can't hire people back because the unemployment 72 00:04:20,560 --> 00:04:24,440 Speaker 1: benefits are very generous. Now, I happen to think the 73 00:04:24,520 --> 00:04:29,479 Speaker 1: generous unemployment package was probably a good thing at the 74 00:04:29,520 --> 00:04:33,159 Speaker 1: beginning of this pandemic when we put it, when we 75 00:04:33,200 --> 00:04:36,480 Speaker 1: put it on the table in mid March and late March. Okay, 76 00:04:36,640 --> 00:04:39,280 Speaker 1: working with the p p P program pay or protection. 77 00:04:39,520 --> 00:04:42,880 Speaker 1: I think the unemployment compensation could be a good thing. 78 00:04:43,120 --> 00:04:46,040 Speaker 1: But now that moment has passed, we're moving into the 79 00:04:46,080 --> 00:04:50,239 Speaker 1: reopening and as these numbers shows spectacular job numbers, people 80 00:04:50,279 --> 00:04:52,799 Speaker 1: are starting to move back. They want to go to work. 81 00:04:53,040 --> 00:04:54,560 Speaker 1: So I think we have to look at this a 82 00:04:54,560 --> 00:04:59,320 Speaker 1: little differently now, and I think reemployment benefits probably will 83 00:04:59,400 --> 00:05:01,919 Speaker 1: help fill the bill, and those two have to be 84 00:05:02,000 --> 00:05:06,200 Speaker 1: targeted to the right people who maybe we're having trouble 85 00:05:06,240 --> 00:05:09,200 Speaker 1: getting a job or competing with the unemployment at six 86 00:05:09,760 --> 00:05:12,039 Speaker 1: It will be a better story for the small businesses. 87 00:05:12,240 --> 00:05:14,839 Speaker 1: It will be more manageable. They'll be able to afford people. 88 00:05:15,120 --> 00:05:18,200 Speaker 1: That's the key point, Larry. Unfortunately, you were the team 89 00:05:18,240 --> 00:05:20,520 Speaker 1: have only given me another sixty seconds for this interview, 90 00:05:20,520 --> 00:05:22,479 Speaker 1: which is unfortunate because I have so much to cover 91 00:05:22,560 --> 00:05:24,599 Speaker 1: with you. So let me get to China. A caught 92 00:05:24,640 --> 00:05:27,080 Speaker 1: up with Ambassador Bolton in the last twenty four hours 93 00:05:27,080 --> 00:05:28,960 Speaker 1: in the Wall Street Journal. In the last couple of weeks, 94 00:05:28,960 --> 00:05:32,039 Speaker 1: he referred to Secretary Manuchin as a panda hugger. You 95 00:05:32,120 --> 00:05:34,839 Speaker 1: came off lightly. You were called a free trader, but 96 00:05:34,880 --> 00:05:37,560 Speaker 1: he said there is an intellectually fractured approach to fit 97 00:05:37,600 --> 00:05:40,800 Speaker 1: all things China. He said that the president was leaning 98 00:05:40,880 --> 00:05:44,400 Speaker 1: on President g to get the best possible outcome, to 99 00:05:44,560 --> 00:05:47,800 Speaker 1: lean on States and by soybeans, etcetera, to help him 100 00:05:47,839 --> 00:05:50,440 Speaker 1: win an election. They were his words that the president 101 00:05:50,440 --> 00:05:52,559 Speaker 1: of the United States was leaning on a foreign leader 102 00:05:52,600 --> 00:05:56,039 Speaker 1: to help win the election. Now, Larry, my question is, 103 00:05:56,120 --> 00:05:58,400 Speaker 1: at the moment with Hong Kongan, the news and the 104 00:05:58,480 --> 00:06:00,760 Speaker 1: likes of Secretary Pompeio, go and get that, I'm making 105 00:06:00,760 --> 00:06:02,359 Speaker 1: a lot of noise about how hot you will be 106 00:06:02,360 --> 00:06:05,320 Speaker 1: on China. How can we take that seriously? When a 107 00:06:05,320 --> 00:06:08,880 Speaker 1: former employee of this administration is gona around saying the 108 00:06:08,880 --> 00:06:11,680 Speaker 1: older president wants is the president she to help him 109 00:06:11,680 --> 00:06:15,080 Speaker 1: win the next election, Well, I'll just say I haven't 110 00:06:15,120 --> 00:06:18,640 Speaker 1: read Mrs Bolton's book. Uh. Many people who were at 111 00:06:18,680 --> 00:06:23,360 Speaker 1: that dinner in Japan completely disagree and say that that 112 00:06:23,440 --> 00:06:27,080 Speaker 1: was an unfactual remark. Okay, that's what I know. Uh, 113 00:06:27,160 --> 00:06:30,279 Speaker 1: China is a huge problem. We are engaging with them 114 00:06:30,279 --> 00:06:33,320 Speaker 1: on trade, but what they are doing in Hong Kong 115 00:06:33,800 --> 00:06:37,360 Speaker 1: as well as other problems, becomes a larger and larger 116 00:06:37,560 --> 00:06:42,920 Speaker 1: difficulty in our relations. As Secretary Pompeio and National Security 117 00:06:42,960 --> 00:06:46,640 Speaker 1: Advisor O'Brien have said time and time again, I want 118 00:06:46,640 --> 00:06:50,120 Speaker 1: to pivot to a much better story. July one, the 119 00:06:50,240 --> 00:06:53,120 Speaker 1: U s m c A trade deal went into place. 120 00:06:53,480 --> 00:06:58,080 Speaker 1: That is a hugely important, pro growth, job creating trade 121 00:06:58,080 --> 00:07:02,160 Speaker 1: deal which will help agg worker and farmers and manufacturers 122 00:07:02,360 --> 00:07:05,320 Speaker 1: and the blue collar boom can re arise. We've got 123 00:07:05,320 --> 00:07:10,600 Speaker 1: currency stability, We've got intellectual property protections. It's a tremendous deal. 124 00:07:10,680 --> 00:07:13,280 Speaker 1: I don't know why it doesn't get more coverage. The 125 00:07:13,360 --> 00:07:15,880 Speaker 1: leaders are probably gonna come here next week to celebrate 126 00:07:15,880 --> 00:07:18,480 Speaker 1: it with President Trump. U s m c A is 127 00:07:18,520 --> 00:07:21,640 Speaker 1: a solid winner and it will be pro growth and 128 00:07:21,760 --> 00:07:25,200 Speaker 1: by the bye it will add to growth next year after. 129 00:07:25,320 --> 00:07:27,680 Speaker 1: I think we have a strong second half and that's 130 00:07:27,720 --> 00:07:30,720 Speaker 1: looking forward and I don't see anything reasons block that. 131 00:07:31,040 --> 00:07:34,280 Speaker 1: As long as people know, and I'll end with this, John, 132 00:07:34,920 --> 00:07:40,360 Speaker 1: people know they must exercise best practices. Don't forget the guidelines. Okay, 133 00:07:40,440 --> 00:07:46,400 Speaker 1: the masks, the distancing, the testing, and the personal hygiene 134 00:07:46,640 --> 00:07:52,000 Speaker 1: are important to mitigate this higher flashpoint in the Southwest. 135 00:07:52,040 --> 00:07:55,160 Speaker 1: It's not necessarily nationwide. It's a few states in the Southwest. 136 00:07:55,600 --> 00:07:59,880 Speaker 1: Use those mitigation best practices and we will get out 137 00:07:59,880 --> 00:08:02,600 Speaker 1: of that more as and we will grow this economy 138 00:08:02,640 --> 00:08:05,760 Speaker 1: and spectacular fashion. Larry, I'm not sure how we got 139 00:08:05,760 --> 00:08:07,680 Speaker 1: from leaning on foreign leaders to wearing a mask, but 140 00:08:07,680 --> 00:08:10,239 Speaker 1: I'm pleased that is the administration's approach at the moment 141 00:08:10,280 --> 00:08:12,800 Speaker 1: to where a mask. Larry. I would talk about U S. 142 00:08:12,920 --> 00:08:15,120 Speaker 1: M c A, but unfortunately, because of your team, I've 143 00:08:15,120 --> 00:08:16,800 Speaker 1: got to cut this interview short and hopefully we can 144 00:08:16,840 --> 00:08:19,040 Speaker 1: pick up where we end this another time in the 145 00:08:19,040 --> 00:08:21,840 Speaker 1: next couple of weeks. Larry, count love that National Economic 146 00:08:21,880 --> 00:08:30,560 Speaker 1: Council Director. Right now, we have to look systemically at 147 00:08:30,600 --> 00:08:34,880 Speaker 1: the systematic, multi strategy approach of black rock, and we 148 00:08:34,920 --> 00:08:37,800 Speaker 1: can do that with Jeffrey Rosenberg. He joins us now 149 00:08:38,080 --> 00:08:41,960 Speaker 1: hugely prodigious on the dynamics of the market and how 150 00:08:42,000 --> 00:08:46,120 Speaker 1: it folds back into fixed income. Jeff, let me get 151 00:08:46,120 --> 00:08:49,480 Speaker 1: out front of your next July note. What is the 152 00:08:49,559 --> 00:08:54,000 Speaker 1: distinction right now in bond dynamics that has your attention 153 00:08:54,280 --> 00:08:56,880 Speaker 1: well on the on the bond dynamic side, away from 154 00:08:56,920 --> 00:09:00,840 Speaker 1: the payroll report. You know, it's it's really about yesterday's news, 155 00:09:00,840 --> 00:09:05,160 Speaker 1: and it's about the discussion around yield curve control or 156 00:09:05,200 --> 00:09:07,840 Speaker 1: what the FED wants to call it. Yield curve targeting 157 00:09:07,880 --> 00:09:10,840 Speaker 1: because the front end of the yield curve is pinned 158 00:09:10,840 --> 00:09:13,560 Speaker 1: at zero. There's no doubt about that. The uncertainty in 159 00:09:13,559 --> 00:09:16,080 Speaker 1: the bond market is about the shape of the yield 160 00:09:16,160 --> 00:09:20,079 Speaker 1: curve as you move further out in the maturity. That's 161 00:09:20,120 --> 00:09:24,160 Speaker 1: really where monetary policy and the uncertainty is centered, because 162 00:09:24,240 --> 00:09:28,920 Speaker 1: you have these two great unprecedented pressures on that curve. 163 00:09:28,960 --> 00:09:32,360 Speaker 1: On the one side, the fiscal policy that Jonathan just 164 00:09:32,400 --> 00:09:37,000 Speaker 1: talked about, UH support for the economy, for financial markets 165 00:09:37,040 --> 00:09:40,040 Speaker 1: is being funded in the treasury market, and it is 166 00:09:40,080 --> 00:09:44,120 Speaker 1: an historic expansion in the amount of supply of debt. 167 00:09:44,160 --> 00:09:46,440 Speaker 1: On the other side is the FED that it's set 168 00:09:46,480 --> 00:09:51,680 Speaker 1: up till now for markets functioning. They're going to expand 169 00:09:51,679 --> 00:09:55,080 Speaker 1: the balance sheet to maintain that market functioning. So we're 170 00:09:55,080 --> 00:09:57,800 Speaker 1: going to start to pivot away from that market functioning 171 00:09:57,840 --> 00:10:03,120 Speaker 1: conversation to a conversation around chewy, around l steps, around 172 00:10:03,440 --> 00:10:06,720 Speaker 1: further accommodation, and so in the bond market, that's where 173 00:10:06,720 --> 00:10:09,480 Speaker 1: all the uncertainty lies. It's about the ship in the curve, 174 00:10:09,640 --> 00:10:12,440 Speaker 1: about yield curve targeting. When the market moves, you do 175 00:10:12,480 --> 00:10:15,040 Speaker 1: more data checks for your futures. Up thirty seven Dow 176 00:10:15,200 --> 00:10:17,360 Speaker 1: futures up. It's a round number, so I'll mention it 177 00:10:17,800 --> 00:10:21,240 Speaker 1: four zero zero up, four hundred points right up, buttressed 178 00:10:21,240 --> 00:10:23,880 Speaker 1: on twenty six thousand on the DALLA. The VIX comes 179 00:10:23,880 --> 00:10:27,360 Speaker 1: in a big stick one point six six points twenty 180 00:10:27,400 --> 00:10:31,160 Speaker 1: six point nine six on the VIX. Jeff Rosenberg's bond 181 00:10:31,160 --> 00:10:34,720 Speaker 1: markets asleep UH to year yield point one six percent. 182 00:10:35,000 --> 00:10:37,560 Speaker 1: Jeff doesn't care about the ten year or the thirty year. 183 00:10:37,640 --> 00:10:41,040 Speaker 1: I look, Jeff Rosenberg at the bond dynamics here and 184 00:10:41,080 --> 00:10:45,960 Speaker 1: come on, equity market up looking out to two thousand 185 00:10:46,080 --> 00:10:49,000 Speaker 1: twenty one. Is there a risk here that the bond 186 00:10:49,040 --> 00:10:52,160 Speaker 1: market looks out to two thousand twenty one and all 187 00:10:52,200 --> 00:10:56,680 Speaker 1: of a sudden it's yield up, price lower. Possibly. You know, 188 00:10:56,760 --> 00:10:59,480 Speaker 1: we're talking about the back end of the curve, and 189 00:10:59,480 --> 00:11:01,720 Speaker 1: that's what you know where you're just highlighting there's no 190 00:11:01,840 --> 00:11:03,920 Speaker 1: movement in the front end of the curve because that's 191 00:11:03,920 --> 00:11:06,640 Speaker 1: all pinned. You know, it is really going to be 192 00:11:06,760 --> 00:11:11,600 Speaker 1: about whether or not we've had success on the virus 193 00:11:12,200 --> 00:11:16,440 Speaker 1: and the combination of fiscal and monetary policy getting success 194 00:11:16,440 --> 00:11:20,240 Speaker 1: around inflation expectations. Very hard to see that today at 195 00:11:20,360 --> 00:11:24,199 Speaker 1: historical levels of inflation and inflation expectations. But if you're 196 00:11:24,200 --> 00:11:27,080 Speaker 1: going to have a scenario where you could have the 197 00:11:27,120 --> 00:11:30,400 Speaker 1: bond market up and the equity market up, getting back 198 00:11:30,440 --> 00:11:33,400 Speaker 1: to a little bit of inflation could be a positive. 199 00:11:33,480 --> 00:11:37,480 Speaker 1: It's a tricky conversation because there could be a slippery 200 00:11:37,480 --> 00:11:40,480 Speaker 1: slope from a little bit of inflation being good to 201 00:11:40,960 --> 00:11:44,520 Speaker 1: a little bit of inflation being uh, not good. And 202 00:11:44,600 --> 00:11:48,640 Speaker 1: so that's going to be that further out one dynamic, 203 00:11:49,080 --> 00:11:51,760 Speaker 1: certainly not the dynamic today in terms of inflation and 204 00:11:51,800 --> 00:11:56,160 Speaker 1: inflation fears. But remember this is the goal fighting inflation 205 00:11:56,400 --> 00:11:59,600 Speaker 1: from below, meaning we have too little inflation. So if 206 00:11:59,640 --> 00:12:02,240 Speaker 1: there's good to be higher interest rates, it might be 207 00:12:02,320 --> 00:12:05,559 Speaker 1: welcomed by the Fed in a little bit steeper of 208 00:12:05,920 --> 00:12:09,960 Speaker 1: a curve pricing in a little bit higher inflation expectation. Jeff, 209 00:12:09,960 --> 00:12:11,840 Speaker 1: In a day like today, we're getting all this data 210 00:12:12,080 --> 00:12:14,640 Speaker 1: with respect to the US labor market, would you trade 211 00:12:14,679 --> 00:12:16,920 Speaker 1: on any of it? You know? I think that Mike 212 00:12:17,000 --> 00:12:20,880 Speaker 1: McKee had the framing of the data exactly right, that 213 00:12:21,200 --> 00:12:24,640 Speaker 1: this is old news. It's good news, but it's news 214 00:12:24,679 --> 00:12:27,640 Speaker 1: that it was already reflected in prices and we've moved 215 00:12:27,679 --> 00:12:31,760 Speaker 1: beyond the kind of early June market to in a 216 00:12:31,880 --> 00:12:35,760 Speaker 1: high frequency basis really having the debate in market prices 217 00:12:35,880 --> 00:12:38,240 Speaker 1: about the next payroll reports, which is, if you look 218 00:12:38,280 --> 00:12:41,440 Speaker 1: at this one, you know the biggest category of improvement 219 00:12:41,720 --> 00:12:45,120 Speaker 1: is leisure and hospitality. It was down over seven million 220 00:12:45,520 --> 00:12:48,079 Speaker 1: in in in April, it was up in May, it's 221 00:12:48,240 --> 00:12:51,560 Speaker 1: up today over two million. That's going to go down 222 00:12:52,000 --> 00:12:55,520 Speaker 1: in July if these shutdowns, if the spread of the 223 00:12:55,600 --> 00:13:00,520 Speaker 1: virus remains uncontained, and that's what the markets focused on 224 00:13:00,640 --> 00:13:02,719 Speaker 1: in the high frequency data. So I think this is 225 00:13:02,760 --> 00:13:05,360 Speaker 1: a little bit of good news, but not news to 226 00:13:05,440 --> 00:13:08,160 Speaker 1: move the market. So, Jeff, this is what surprises me. 227 00:13:08,240 --> 00:13:10,280 Speaker 1: You're saying it was priced in and people are looking 228 00:13:10,280 --> 00:13:13,800 Speaker 1: to the potential bad news going forward. The higher frequency 229 00:13:13,880 --> 00:13:16,920 Speaker 1: data that we got the eight thirty release was the 230 00:13:16,960 --> 00:13:19,600 Speaker 1: initial jobless claims data, which was worse than expected with 231 00:13:19,600 --> 00:13:22,160 Speaker 1: more than one point four million jobless claims coming in 232 00:13:22,480 --> 00:13:26,360 Speaker 1: and with the ongoing UH the ongoing claims also coming 233 00:13:26,400 --> 00:13:29,760 Speaker 1: in higher than expected. Why is the market focusing more 234 00:13:29,880 --> 00:13:32,760 Speaker 1: on the upside surprise in the June jobs report when 235 00:13:32,800 --> 00:13:36,840 Speaker 1: that is farther backward looking than the initial jobless claims, 236 00:13:36,880 --> 00:13:40,360 Speaker 1: which point towards an acceleration of reclosure. Well, you know, 237 00:13:40,480 --> 00:13:42,360 Speaker 1: it's a it's a it's a great question. I think 238 00:13:42,400 --> 00:13:47,079 Speaker 1: it's really important to remember just the scope of flows 239 00:13:47,200 --> 00:13:51,120 Speaker 1: that we're talking about here. So these are unprecedented leads, 240 00:13:51,520 --> 00:13:55,120 Speaker 1: large flows into the labor market and out of the 241 00:13:55,160 --> 00:13:57,240 Speaker 1: labor market. So when you're looking at that four point 242 00:13:57,280 --> 00:14:01,680 Speaker 1: eight million number, that's a net number her of maybe 243 00:14:01,760 --> 00:14:07,040 Speaker 1: fifteen million uh leaving uh and and and or ten 244 00:14:07,080 --> 00:14:10,800 Speaker 1: million leaving and fifteen million entering. And so these are 245 00:14:10,960 --> 00:14:15,000 Speaker 1: really really large gross flows. And inside of that, the 246 00:14:15,080 --> 00:14:18,960 Speaker 1: scope of uncertainty is just you know, we are we 247 00:14:19,080 --> 00:14:22,040 Speaker 1: really don't know what to expect. Remember the range in 248 00:14:22,080 --> 00:14:26,080 Speaker 1: the Bloomberg survey was was was minus five thousand plus 249 00:14:26,200 --> 00:14:29,520 Speaker 1: nine million. I mean, no one really knows how to 250 00:14:29,600 --> 00:14:33,440 Speaker 1: forecast these flows in employment. So to one point four 251 00:14:33,520 --> 00:14:37,960 Speaker 1: to seven on initial jobless claims versus you know that survey, 252 00:14:38,000 --> 00:14:40,560 Speaker 1: it's within the margin of error. And that's why you're 253 00:14:40,560 --> 00:14:43,280 Speaker 1: not really seeing a market reacting to that higher initial 254 00:14:43,400 --> 00:14:47,280 Speaker 1: jobless claims. It's more the story of this report, which 255 00:14:47,360 --> 00:14:52,000 Speaker 1: is the story of June economy, reopening flows back into 256 00:14:52,160 --> 00:14:56,080 Speaker 1: into the economy, big increases in retail, leisure and hospitality. 257 00:14:56,360 --> 00:15:00,560 Speaker 1: The change, as Jonathan highlighted, the decline in hourly earnings 258 00:15:00,640 --> 00:15:04,280 Speaker 1: is a reflection of the labor force starting to redistribute 259 00:15:04,320 --> 00:15:08,320 Speaker 1: back to the lower wage workers that were most harm 260 00:15:08,440 --> 00:15:11,040 Speaker 1: So all of that is consistent with what I think 261 00:15:11,080 --> 00:15:14,040 Speaker 1: we were pricing in back in early June. Jeff rozen 262 00:15:14,120 --> 00:15:16,360 Speaker 1: very one final question, and I'll keep it sort of 263 00:15:16,360 --> 00:15:21,520 Speaker 1: philosophic here on a sleepy summer Thursday. The Powell put 264 00:15:22,040 --> 00:15:25,120 Speaker 1: has never been more putty than the put is right now. 265 00:15:25,880 --> 00:15:28,880 Speaker 1: Is this a normal bond market? I mean, it's almost 266 00:15:28,920 --> 00:15:32,320 Speaker 1: like the systems rigged by central bank action. Are you 267 00:15:32,440 --> 00:15:37,400 Speaker 1: working systematically within a normal bond market? No, it's a 268 00:15:37,440 --> 00:15:40,960 Speaker 1: really good question, Tom, And you know you read the 269 00:15:41,000 --> 00:15:44,960 Speaker 1: Minute and they talk a lot about the historical precedence. 270 00:15:45,200 --> 00:15:48,920 Speaker 1: So it's it's not normal in any sense of what 271 00:15:49,000 --> 00:15:52,240 Speaker 1: we thought of as normal functioning of the bond markets. 272 00:15:52,280 --> 00:15:56,880 Speaker 1: We have had experiences with yield curve control, with financial 273 00:15:56,880 --> 00:15:59,680 Speaker 1: repression in the United States. It was the aftermath of 274 00:15:59,720 --> 00:16:02,680 Speaker 1: World War Two up until the fifty one Treasury Set accord. 275 00:16:03,520 --> 00:16:06,760 Speaker 1: That is the period that is more like where we 276 00:16:06,840 --> 00:16:09,360 Speaker 1: are today. So when you think about the treasury market 277 00:16:09,400 --> 00:16:13,200 Speaker 1: and you think about the functioning of risk free rates 278 00:16:13,240 --> 00:16:16,960 Speaker 1: in our financial markets as a base for understanding financial 279 00:16:17,000 --> 00:16:21,520 Speaker 1: market pricing, you really have to reassess your assumptions from 280 00:16:21,520 --> 00:16:23,840 Speaker 1: a systematic point of view. We have to re look 281 00:16:23,960 --> 00:16:28,240 Speaker 1: at what's in the data, what's underlying the data that 282 00:16:28,280 --> 00:16:32,680 Speaker 1: we see, and how that changes. When the fundamental underpinnings 283 00:16:32,680 --> 00:16:36,040 Speaker 1: of the structure of the Treasury rates are now really 284 00:16:36,160 --> 00:16:39,440 Speaker 1: pinned that zero the zero lower bound, and we're going 285 00:16:39,480 --> 00:16:41,840 Speaker 1: to debate over the next couple of months how far 286 00:16:41,960 --> 00:16:45,320 Speaker 1: out that control or that targeting moves out. The correpect 287 00:16:45,360 --> 00:16:49,040 Speaker 1: to answer your questions, is absolutely a very different environment 288 00:16:49,120 --> 00:16:52,520 Speaker 1: than anything in the in the post different one environment. 289 00:16:52,720 --> 00:16:59,720 Speaker 1: Jeff Rosenberg of black Rock, thank you so much. Today 290 00:17:00,080 --> 00:17:02,760 Speaker 1: it's all about the jobs data coming in much better 291 00:17:02,920 --> 00:17:05,840 Speaker 1: than expected. Let's dig a little bit deeper with Jay 292 00:17:05,920 --> 00:17:09,919 Speaker 1: Bryson Wells Fargo Chief Economists. I'll speak slowly, Ja for you, 293 00:17:09,960 --> 00:17:13,320 Speaker 1: because I know you're a graduate and a PhD graduate 294 00:17:13,440 --> 00:17:15,880 Speaker 1: of the University of North Carolina at Chapel Hill as 295 00:17:15,920 --> 00:17:18,800 Speaker 1: a Dukie here as a Dukey alumni, I'll speak a 296 00:17:18,800 --> 00:17:21,600 Speaker 1: little bit slowly, okay for you, doctor, So Jay, thanks 297 00:17:21,640 --> 00:17:25,159 Speaker 1: so much for we really appreciate it. What do you 298 00:17:25,280 --> 00:17:27,680 Speaker 1: make of this job's data here? Is this just kind 299 00:17:27,680 --> 00:17:30,520 Speaker 1: of catching up as we kind of reopened here or 300 00:17:30,560 --> 00:17:33,960 Speaker 1: do you see anything a little bit deeper in there? Well? 301 00:17:34,000 --> 00:17:37,560 Speaker 1: So yes, there is uh some catching up that to 302 00:17:38,040 --> 00:17:42,240 Speaker 1: be done here. Um. Recall that we lost between you know, 303 00:17:42,359 --> 00:17:45,720 Speaker 1: February and April, we lost twenty two million jobs. Um. 304 00:17:45,760 --> 00:17:49,760 Speaker 1: Now we have gotten about seven million backs. So you know, 305 00:17:49,960 --> 00:17:53,200 Speaker 1: as the economy reopened in you know, in May and 306 00:17:53,240 --> 00:17:56,000 Speaker 1: in June, this is what you're kind of seeing, you 307 00:17:56,040 --> 00:17:59,000 Speaker 1: know here. Um. I think it's gonna be interesting when 308 00:17:59,000 --> 00:18:01,600 Speaker 1: we get to the July report because you know, if 309 00:18:01,600 --> 00:18:05,159 Speaker 1: there's any bad news here at this morning, and I 310 00:18:05,160 --> 00:18:07,720 Speaker 1: don't want to stress that, but you know, initial jobless 311 00:18:07,720 --> 00:18:11,560 Speaker 1: claims remain high, continuing jobless claims remain high, and we 312 00:18:11,640 --> 00:18:14,720 Speaker 1: all know that some states have started to go into 313 00:18:14,760 --> 00:18:19,520 Speaker 1: reverse um recently in terms of reopening, and so these 314 00:18:19,680 --> 00:18:24,440 Speaker 1: big employment games are probably behind us at this point. 315 00:18:25,040 --> 00:18:27,240 Speaker 1: Jab Ryson with us, and wonderful to have you with us, 316 00:18:27,320 --> 00:18:30,840 Speaker 1: Jay today. Futures up forty Futures continue to advance up 317 00:18:30,880 --> 00:18:35,160 Speaker 1: four thousand, sixteen in the Dow, almost in two big 318 00:18:35,200 --> 00:18:38,600 Speaker 1: figures in the vix point six A Jay when I 319 00:18:38,600 --> 00:18:41,040 Speaker 1: saw the numbers, and I get the idea that this 320 00:18:41,119 --> 00:18:42,760 Speaker 1: is as good a get as it gets. And now 321 00:18:43,160 --> 00:18:46,200 Speaker 1: we really learned the cost of this pandemic. Great will 322 00:18:46,240 --> 00:18:51,200 Speaker 1: economists over the weekend, particularly Wells Fargo. Will they readjust 323 00:18:51,440 --> 00:18:55,040 Speaker 1: the level the percentage of unemployment rate we're gonna see 324 00:18:55,080 --> 00:18:57,919 Speaker 1: at the end of the year, or will they just 325 00:18:57,960 --> 00:19:02,080 Speaker 1: simply bring it in closer? These are better numbers. Is 326 00:19:02,119 --> 00:19:07,360 Speaker 1: the recovery of December now the recovery of October? Well, yeah, 327 00:19:07,520 --> 00:19:10,200 Speaker 1: I think Tom that there is something to be said 328 00:19:10,240 --> 00:19:11,720 Speaker 1: of that. I mean, it's interesting when you look at 329 00:19:11,760 --> 00:19:17,520 Speaker 1: the technical details here. What what the uh BLS has 330 00:19:17,600 --> 00:19:21,000 Speaker 1: been saying is that there's been people who have been 331 00:19:21,000 --> 00:19:26,480 Speaker 1: misclassified up until this point. That is, when the BLS 332 00:19:26,600 --> 00:19:30,680 Speaker 1: calls these people and ask them questions, these people were saying, yes, 333 00:19:30,680 --> 00:19:33,920 Speaker 1: I'm on, I didn't work, Um, I didn't work this 334 00:19:33,960 --> 00:19:37,160 Speaker 1: week because of quote other reasons. And you know it's 335 00:19:37,160 --> 00:19:39,719 Speaker 1: because of the pandemic. They were they were furlowed from 336 00:19:39,760 --> 00:19:43,880 Speaker 1: their jobs. And and so when you calculate the unemployment rate, 337 00:19:44,000 --> 00:19:49,360 Speaker 1: these people were considered to be employed, um, but they 338 00:19:49,440 --> 00:19:53,120 Speaker 1: really weren't. They were really furloughed um, and so there 339 00:19:53,160 --> 00:19:55,720 Speaker 1: was some sense that that was that was bringing down 340 00:19:55,720 --> 00:19:59,080 Speaker 1: the unemployment rate by too much. And what we we've 341 00:19:59,200 --> 00:20:03,480 Speaker 1: learned with this June report is that misclassification error is 342 00:20:03,520 --> 00:20:08,240 Speaker 1: a lot lower. So this eleven point one percent unemployment 343 00:20:08,359 --> 00:20:11,320 Speaker 1: rate seems to be closer to you know, the quote 344 00:20:11,320 --> 00:20:15,399 Speaker 1: true unemployment rate at this point, and so we're probably 345 00:20:15,400 --> 00:20:17,840 Speaker 1: not going to get a bounce back up. And so yeah, 346 00:20:17,920 --> 00:20:21,680 Speaker 1: I would think that we we are already pretty low 347 00:20:21,720 --> 00:20:23,399 Speaker 1: in terms of our unemployment rate at the end of 348 00:20:23,440 --> 00:20:24,879 Speaker 1: the year. So I don't know if we're going to 349 00:20:24,960 --> 00:20:26,800 Speaker 1: be making a lot of adjustments than that, but I 350 00:20:26,840 --> 00:20:30,600 Speaker 1: could see other shops bringing their unemployment rate numbers down. 351 00:20:31,000 --> 00:20:34,240 Speaker 1: Those sirens, you hear, folks, we welcome all of you worldwide. 352 00:20:34,280 --> 00:20:37,960 Speaker 1: That is the North Carolina State Police running to the 353 00:20:38,000 --> 00:20:40,879 Speaker 1: rescue of how we have someone from Duke and North Carolina. 354 00:20:41,160 --> 00:20:45,720 Speaker 1: And at the same time, those sirens are that's right, 355 00:20:45,800 --> 00:20:48,280 Speaker 1: just a little you know, trying to prevent a little 356 00:20:48,280 --> 00:20:51,480 Speaker 1: bit of a issue here. Jay. You know, it's interesting here, 357 00:20:52,200 --> 00:20:56,040 Speaker 1: what is your sense of kind of the underlying health 358 00:20:56,240 --> 00:20:59,359 Speaker 1: of the labor market here. I mean, again, we kind 359 00:20:59,359 --> 00:21:02,000 Speaker 1: of had a couple months here where we came back 360 00:21:02,040 --> 00:21:04,840 Speaker 1: better than expected. But as we shake out to the 361 00:21:04,840 --> 00:21:06,280 Speaker 1: other side of this thing, but it looks like we're 362 00:21:06,280 --> 00:21:09,520 Speaker 1: having some significant resurgence and some key markets, I think 363 00:21:09,520 --> 00:21:13,639 Speaker 1: about California, Texas, Florida, those are key labor markets. Do 364 00:21:13,680 --> 00:21:17,160 Speaker 1: you expect to see kind of some less than good 365 00:21:17,160 --> 00:21:19,920 Speaker 1: news over the next month or two. Yeah, so, I 366 00:21:19,960 --> 00:21:21,720 Speaker 1: far I was given a letter of grade. You know, 367 00:21:21,720 --> 00:21:24,680 Speaker 1: the unemployment or the tough of the economy, the labor 368 00:21:24,720 --> 00:21:27,520 Speaker 1: market back in February would have been in a where 369 00:21:27,520 --> 00:21:29,440 Speaker 1: are we now, We're you know, kind of at a 370 00:21:29,560 --> 00:21:32,280 Speaker 1: sea And I understand that because he is a really 371 00:21:32,320 --> 00:21:35,399 Speaker 1: good grade there, but you know, for most of us, 372 00:21:35,440 --> 00:21:39,560 Speaker 1: kind of bediocre. And you know, so, um, we have, 373 00:21:39,840 --> 00:21:43,000 Speaker 1: as we said earlier, we have gotten the bounce uh 374 00:21:43,040 --> 00:21:48,040 Speaker 1: from furlough workers coming back, but there are probably millions 375 00:21:48,080 --> 00:21:51,840 Speaker 1: of businesses that aren't coming back. They've closed for good, 376 00:21:52,520 --> 00:21:55,560 Speaker 1: and those key people aren't going to go back to 377 00:21:55,600 --> 00:21:58,919 Speaker 1: a job anytime soon. And so you know, by the 378 00:21:59,040 --> 00:22:01,359 Speaker 1: end of next year, you know, we're still thinking the 379 00:22:01,400 --> 00:22:04,840 Speaker 1: unemployment rate's going to be at six percent um and 380 00:22:04,840 --> 00:22:07,600 Speaker 1: in February was three point five percent. I mean, we're 381 00:22:07,600 --> 00:22:10,560 Speaker 1: not going back to that anytime soon. And so yeah, 382 00:22:10,640 --> 00:22:12,439 Speaker 1: you know, we're moving in the right traction. Things are 383 00:22:12,440 --> 00:22:16,439 Speaker 1: getting are better, but there's still gonna be millions of 384 00:22:16,480 --> 00:22:18,680 Speaker 1: Americans who are going to be unemployed, and they're probably 385 00:22:18,680 --> 00:22:20,920 Speaker 1: going to be unemployed for a long period of time. 386 00:22:21,240 --> 00:22:23,040 Speaker 1: It's too short a time, Ja Brison, we gotta do 387 00:22:23,080 --> 00:22:26,720 Speaker 1: this again soon, Jay Brison, Wills Fargo, Thank you so much. 388 00:22:30,680 --> 00:22:32,639 Speaker 1: This is a year you could pack it in. But 389 00:22:32,720 --> 00:22:36,320 Speaker 1: that was never the spirit of Arthur Fiedler. And I'm 390 00:22:36,320 --> 00:22:39,520 Speaker 1: gonna go back, folks to my childhood. Keith Lockhart doesn't 391 00:22:39,560 --> 00:22:42,720 Speaker 1: know this, but I was weaned, absolutely weaned on the 392 00:22:42,840 --> 00:22:46,920 Speaker 1: Boston Pops. I would sit in Swellesley Hills. My grandparents 393 00:22:46,920 --> 00:22:50,720 Speaker 1: had that eighteen twelve Tchaikovsky overture from the I think 394 00:22:50,760 --> 00:22:53,200 Speaker 1: it was a Minnesota Orchestra, and I was ordered a 395 00:22:53,240 --> 00:22:56,920 Speaker 1: gunpoint to listen to it six times a day around July. 396 00:22:57,880 --> 00:23:03,800 Speaker 1: And then something happened. Arthur learned from institution he had 397 00:23:03,840 --> 00:23:08,640 Speaker 1: the audacity to get old Paul. This was like Williams 398 00:23:08,640 --> 00:23:12,359 Speaker 1: to his dream Ski. It was that bad. I have 399 00:23:12,440 --> 00:23:17,640 Speaker 1: the clearest memory of Keith, who he came in under 400 00:23:17,680 --> 00:23:22,160 Speaker 1: the greatest pressure of anybody. I'm sure of anybody maybe 401 00:23:22,160 --> 00:23:25,560 Speaker 1: when Bernstein was thrown up New York Philharmonic. Other than that, No, 402 00:23:25,800 --> 00:23:28,840 Speaker 1: this was the toughest shoes to fill in the history 403 00:23:28,840 --> 00:23:32,639 Speaker 1: of classical music. And Keith Lockhart absolutely nailed it with 404 00:23:32,640 --> 00:23:35,440 Speaker 1: the Boston Pops twenty some years ago. We're throwing you 405 00:23:35,480 --> 00:23:38,840 Speaker 1: can join us right now. Keith, what was it like 406 00:23:39,000 --> 00:23:44,919 Speaker 1: the first Pops when you had to step into those shoes? Hi, 407 00:23:45,040 --> 00:23:47,800 Speaker 1: Tom High, Paul. Uh, you left out that other guy, 408 00:23:47,920 --> 00:23:50,920 Speaker 1: John Williams in between Arthur and Mike. He went off 409 00:23:50,920 --> 00:23:54,919 Speaker 1: the Hollywood made both well, you know, but he whatever 410 00:23:54,960 --> 00:23:59,879 Speaker 1: happened to John Williams exactly. Um, it was my first season, 411 00:24:01,000 --> 00:24:04,680 Speaker 1: so this would have been fourth of July, and uh, 412 00:24:05,320 --> 00:24:07,040 Speaker 1: it all went by on a blur. I started in 413 00:24:07,119 --> 00:24:09,840 Speaker 1: May with concerts. I did probably thirty five cons just 414 00:24:09,880 --> 00:24:11,840 Speaker 1: before the fourth of July, but I don't remember any 415 00:24:11,840 --> 00:24:13,800 Speaker 1: of them because I was just too busy, you know, 416 00:24:13,880 --> 00:24:16,560 Speaker 1: watching my world turn upside down. But I came out 417 00:24:16,600 --> 00:24:18,320 Speaker 1: to the fourth I think it's really the first moment 418 00:24:18,359 --> 00:24:20,560 Speaker 1: I noticed, because I walked out on to that stage 419 00:24:20,560 --> 00:24:24,760 Speaker 1: on the hatshell and saw a sea of people and 420 00:24:24,880 --> 00:24:26,880 Speaker 1: even the people I couldn't see because you can't see 421 00:24:26,920 --> 00:24:29,159 Speaker 1: five dred people. They can't all sit close enough for 422 00:24:29,160 --> 00:24:32,160 Speaker 1: you to see them. Um, and you could feel like 423 00:24:32,240 --> 00:24:36,080 Speaker 1: the humanity that that that incredible concentration. And I walked 424 00:24:36,080 --> 00:24:38,320 Speaker 1: out on that dads briskly to the center to take 425 00:24:38,320 --> 00:24:41,600 Speaker 1: a bow, and I was thinking to myself, WHOA, what 426 00:24:41,680 --> 00:24:45,480 Speaker 1: have you done now? Yeah, you look at this, Keith. 427 00:24:45,520 --> 00:24:47,680 Speaker 1: And of course this year is so different, folks. We've 428 00:24:47,720 --> 00:24:50,720 Speaker 1: pieced together the greatest hits of before because you can't 429 00:24:50,720 --> 00:24:53,720 Speaker 1: cut the crowd together as well, what do you do 430 00:24:53,920 --> 00:24:56,280 Speaker 1: with the orchestra? I mean, what do you do this 431 00:24:56,359 --> 00:24:59,720 Speaker 1: year to keep the cellos away from the violins because 432 00:24:59,760 --> 00:25:02,800 Speaker 1: of the pandemic, and how are you going to handle that? Well? 433 00:25:02,800 --> 00:25:05,439 Speaker 1: This year we are not there's no live there's no 434 00:25:05,560 --> 00:25:07,880 Speaker 1: live performance in the Bust Pops. There's no way we 435 00:25:07,920 --> 00:25:10,360 Speaker 1: you know, we announced it about a month ago, but honestly, 436 00:25:10,920 --> 00:25:13,080 Speaker 1: you know, by late March we're looking at each other, going, 437 00:25:13,119 --> 00:25:15,440 Speaker 1: this thing gonna happen. You know, nobody is going to 438 00:25:15,520 --> 00:25:18,359 Speaker 1: green light five people in the audience and eighty people 439 00:25:18,400 --> 00:25:21,400 Speaker 1: on a tiny stage. People on a tiny stage. So 440 00:25:21,480 --> 00:25:23,399 Speaker 1: we started looking at what to do, and we decided 441 00:25:23,480 --> 00:25:25,920 Speaker 1: to do a retrospective concert that will air on Bloomberg 442 00:25:25,960 --> 00:25:28,840 Speaker 1: at eight o'clock on fourth of July on all your platforms, 443 00:25:29,440 --> 00:25:33,000 Speaker 1: and uh it is some of the best moments, the 444 00:25:33,000 --> 00:25:36,000 Speaker 1: greatest guest artists we've had over the last three years 445 00:25:36,000 --> 00:25:37,960 Speaker 1: of content, which really gives us an a list like 446 00:25:37,960 --> 00:25:40,080 Speaker 1: you wouldn't believe because we could never have ordered to 447 00:25:40,119 --> 00:25:42,800 Speaker 1: have all those people on the same year. But it's 448 00:25:42,880 --> 00:25:47,639 Speaker 1: new introductions that I have done along with the Bloomberg 449 00:25:47,680 --> 00:25:50,840 Speaker 1: hosts for the telecast. We shot them on a early 450 00:25:50,920 --> 00:25:54,680 Speaker 1: empty hat shell a week ago to put into the show, 451 00:25:54,920 --> 00:25:57,720 Speaker 1: and some new content that is reflective of the time 452 00:25:57,760 --> 00:26:00,119 Speaker 1: we're in recording of some of the heroes that has 453 00:26:00,160 --> 00:26:02,800 Speaker 1: done virtually with all the orcs to members in their 454 00:26:02,800 --> 00:26:07,439 Speaker 1: basements and they knew socially distance performance between me and 455 00:26:07,640 --> 00:26:10,320 Speaker 1: an amazing gospel singer name Bernice King that I hope 456 00:26:10,400 --> 00:26:13,439 Speaker 1: will really stick in people's minds. Keith, how how are 457 00:26:13,480 --> 00:26:15,800 Speaker 1: your musicians faring here? I mean it's been you know, 458 00:26:15,840 --> 00:26:18,200 Speaker 1: several months here. They've obviously not been able to get 459 00:26:18,200 --> 00:26:20,720 Speaker 1: together as an orchestra. How are you keeping in touch 460 00:26:20,760 --> 00:26:24,720 Speaker 1: with them? How are they doing? What's going on there? Well, 461 00:26:25,080 --> 00:26:27,360 Speaker 1: this is, you know, the tough time for a lot 462 00:26:27,400 --> 00:26:30,480 Speaker 1: of people. But the performing arts industry has been particularly 463 00:26:30,880 --> 00:26:33,760 Speaker 1: badly hit because there is simply no outlet, no viable 464 00:26:33,800 --> 00:26:37,320 Speaker 1: outlet right now. People talk about coming back and having 465 00:26:37,400 --> 00:26:39,600 Speaker 1: capacity controls in the houses and things like that, but 466 00:26:39,600 --> 00:26:42,400 Speaker 1: you've gotta understand that the arts were a marginal business 467 00:26:42,920 --> 00:26:47,119 Speaker 1: at best um before all of this, and you can't 468 00:26:47,440 --> 00:26:50,000 Speaker 1: make the numbers work at a thirty percent house capacity. 469 00:26:50,880 --> 00:26:54,280 Speaker 1: So we have a situation the the Boston Symphony and 470 00:26:54,480 --> 00:26:57,639 Speaker 1: Boston Pops have hunkered down. There have been furloughs on 471 00:26:57,680 --> 00:27:00,680 Speaker 1: the staff, and they agreed to reduction of all those 472 00:27:00,760 --> 00:27:04,199 Speaker 1: full time players. But the people you normally see on 473 00:27:04,600 --> 00:27:08,080 Speaker 1: the um Esplat on the fourth of July are all 474 00:27:08,119 --> 00:27:10,280 Speaker 1: freelancers who work for us, and they have all been 475 00:27:10,840 --> 00:27:13,000 Speaker 1: uh loose for the moment. So it is it's a 476 00:27:13,160 --> 00:27:16,360 Speaker 1: very it's a very difficult time in some cases, an 477 00:27:16,359 --> 00:27:19,639 Speaker 1: existentially difficult time for a lot of my colleagues and friends. 478 00:27:19,920 --> 00:27:22,120 Speaker 1: She's a lock hard to look worldwide. And of course, 479 00:27:22,119 --> 00:27:27,080 Speaker 1: the leadership of the Boston Symphony for years, I mean truly, folks, decades, 480 00:27:27,119 --> 00:27:30,679 Speaker 1: if not generations. If you're a read Grammophone magazine or 481 00:27:30,680 --> 00:27:33,679 Speaker 1: the others of the classical industry. Right now, what do 482 00:27:33,720 --> 00:27:37,679 Speaker 1: we need to do to get the kids engaged in 483 00:27:38,080 --> 00:27:41,920 Speaker 1: the expanse of classical music? What is your with all 484 00:27:41,920 --> 00:27:44,840 Speaker 1: your experience, all of our listeners want to know how 485 00:27:44,880 --> 00:27:47,440 Speaker 1: to get I get my kids interested in this? What's 486 00:27:47,480 --> 00:27:51,080 Speaker 1: the lock our prescription? Well, I would to say two things. 487 00:27:51,200 --> 00:27:54,040 Speaker 1: One of them is that the whole industry, especially us 488 00:27:54,080 --> 00:27:57,359 Speaker 1: at the Boston Pops, have really taken a giant step 489 00:27:57,400 --> 00:28:00,359 Speaker 1: forward in terms of our virtual presence and our ability 490 00:28:00,440 --> 00:28:04,080 Speaker 1: to reach people virtually. The online presence of the Boston 491 00:28:04,119 --> 00:28:08,119 Speaker 1: Pops and the Boston Symphony has grown immensely, uh, you know, 492 00:28:08,200 --> 00:28:11,439 Speaker 1: many fold over these last three months. And that's a 493 00:28:11,480 --> 00:28:14,040 Speaker 1: tool that we can continue to use to bring people 494 00:28:14,119 --> 00:28:16,760 Speaker 1: to live performance, which is our ultimate goal. And it's 495 00:28:16,800 --> 00:28:19,879 Speaker 1: obviously a tool by which our younger people get the 496 00:28:19,920 --> 00:28:24,119 Speaker 1: vast majority of their stimulation, good or bad. Um. And 497 00:28:24,200 --> 00:28:26,240 Speaker 1: the other thing I'd say to everybody, and this is 498 00:28:26,240 --> 00:28:28,040 Speaker 1: in the face of you know, a lot of school 499 00:28:28,080 --> 00:28:30,320 Speaker 1: distances are gonna have a hard time with this. People 500 00:28:30,359 --> 00:28:34,479 Speaker 1: are gonna be laying off specialists. Participation is the biggest uh, 501 00:28:34,960 --> 00:28:39,200 Speaker 1: is the biggest key to a and an audience of 502 00:28:39,240 --> 00:28:42,080 Speaker 1: people who are interested in in the great things like 503 00:28:42,200 --> 00:28:45,680 Speaker 1: the performing arts and like music. Giving your kid via 504 00:28:45,720 --> 00:28:47,720 Speaker 1: one lessons when they asked for them, supporting them when 505 00:28:47,720 --> 00:28:49,400 Speaker 1: they want to play the trumpet, having them play in 506 00:28:49,400 --> 00:28:52,080 Speaker 1: the school band, the school orchestrasting in the choir. It's 507 00:28:52,160 --> 00:28:55,120 Speaker 1: just like baseball wouldn't survive if none of us had 508 00:28:55,120 --> 00:28:58,760 Speaker 1: ever played baseball. Uh, you know it's Uh, it's something 509 00:28:58,800 --> 00:29:00,720 Speaker 1: you really have to have an appreciate creation for what's 510 00:29:00,760 --> 00:29:02,520 Speaker 1: going on on the stage to really be eager to 511 00:29:02,560 --> 00:29:04,840 Speaker 1: find out more about what's in it. So I would 512 00:29:04,840 --> 00:29:06,880 Speaker 1: say that when people are looking at the easy things 513 00:29:06,920 --> 00:29:09,240 Speaker 1: to cut, like arts programs, that they should think very 514 00:29:09,240 --> 00:29:12,520 Speaker 1: carefully about that. From Arthur Fiedler to John Williams to 515 00:29:12,600 --> 00:29:15,560 Speaker 1: Keith Lockhart, thank you so much, Keith Lockhart. We really 516 00:29:15,560 --> 00:29:18,200 Speaker 1: look forward to the Blostom pop across all of the 517 00:29:18,200 --> 00:29:22,320 Speaker 1: Bloomberg platforms. Thanks for listening to the Bloomberg Surveillance podcast. 518 00:29:22,680 --> 00:29:27,720 Speaker 1: Subscribe and listen to interviews on Apple Podcasts, SoundCloud, or 519 00:29:27,760 --> 00:29:32,080 Speaker 1: whichever podcast platform you prefer. I'm on Twitter at Tom 520 00:29:32,200 --> 00:29:36,080 Speaker 1: Keane Before the podcast, you can always catch us worldwide. 521 00:29:36,520 --> 00:29:37,600 Speaker 1: I'm Bloomberg Radio,