WEBVTT - Flying Objects, Super Bowl Ads, Yield Curve, and NYC (Podcast)

0:00:00.800 --> 0:00:04.040
<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside

0:00:04.040 --> 0:00:06.920
<v Speaker 1>my co host Matt Miller. Every business day, we bring

0:00:06.960 --> 0:00:11.520
<v Speaker 1>you interviews from CEOs, market pros, and Bloomberg experts, along

0:00:11.520 --> 0:00:15.600
<v Speaker 1>with essential market moving news. Find the Bloomberg Markets Podcast

0:00:15.600 --> 0:00:18.439
<v Speaker 1>on Apple Podcasts or wherever you listen to podcasts, and

0:00:18.480 --> 0:00:21.840
<v Speaker 1>at Bloomberg dot com slash podcast. Let's get to this

0:00:21.840 --> 0:00:24.520
<v Speaker 1>balloon business, because you know, how is at Colorado in

0:00:24.520 --> 0:00:27.280
<v Speaker 1>the Rocky Mountains ten eleven twelve looking did you see

0:00:27.320 --> 0:00:30.480
<v Speaker 1>any I did not see any balloons, and I can't imagine.

0:00:30.520 --> 0:00:32.840
<v Speaker 1>It's good to be in the balloon business these days.

0:00:33.320 --> 0:00:36.680
<v Speaker 1>Mc mulroy, co founder of the Lobo Institute, joins us.

0:00:36.680 --> 0:00:39.800
<v Speaker 1>He's a former Deputy Assistant Secretary of Defense for the

0:00:39.880 --> 0:00:42.680
<v Speaker 1>Middle East at the US Department of Defense, former Power

0:00:42.720 --> 0:00:45.360
<v Speaker 1>Military Operations officer at this thing called the c I A.

0:00:45.440 --> 0:00:47.319
<v Speaker 1>I'm not sure what those guys are up to. Uh.

0:00:47.360 --> 0:00:49.519
<v Speaker 1>And he was a marine for a very very long time,

0:00:49.560 --> 0:00:52.640
<v Speaker 1>so we thank him for service. Hey, Mick, what is

0:00:52.880 --> 0:00:55.200
<v Speaker 1>up with these balloons? Is this always been a thing,

0:00:55.920 --> 0:00:59.680
<v Speaker 1>but now we're just kind of hearing about it. It's

0:00:59.720 --> 0:01:02.680
<v Speaker 1>a it to be with you guys, balloons have you know,

0:01:02.720 --> 0:01:04.440
<v Speaker 1>ever since we had them have been used in some

0:01:04.520 --> 0:01:07.640
<v Speaker 1>capacity to collect intelligence. Those goes back World War One

0:01:08.480 --> 0:01:11.800
<v Speaker 1>all the way until today obviously, but you know, now

0:01:11.840 --> 0:01:16.760
<v Speaker 1>we're shooting down these haven't been identified yet, these objects.

0:01:16.800 --> 0:01:20.720
<v Speaker 1>Some of those might simply be weather balloons. But um,

0:01:20.760 --> 0:01:22.319
<v Speaker 1>you know, we won't know until we get to these

0:01:22.319 --> 0:01:28.280
<v Speaker 1>remote sites and be able to collect and study the debris. Um. So,

0:01:28.800 --> 0:01:31.880
<v Speaker 1>after such a long stint at the C, I a mick,

0:01:31.959 --> 0:01:39.199
<v Speaker 1>when did you start there? Um? Are there aliens? Well?

0:01:39.280 --> 0:01:42.160
<v Speaker 1>I came right after nine eleven, so I was kind

0:01:42.160 --> 0:01:45.280
<v Speaker 1>of focused on the kind of terrorism issue, not the

0:01:45.600 --> 0:01:47.800
<v Speaker 1>extra dress real issue. So I don't know. I know

0:01:47.880 --> 0:01:51.000
<v Speaker 1>that there are people. Obviously we're taking it more serious.

0:01:51.240 --> 0:01:55.080
<v Speaker 1>We are studying as uh. Pentagon has an office that's

0:01:55.120 --> 0:02:00.640
<v Speaker 1>now looking at what these um anomalies are. You know,

0:02:00.720 --> 0:02:04.400
<v Speaker 1>so I don't want to make a decision. Was only kidding,

0:02:04.800 --> 0:02:08.600
<v Speaker 1>but I assume that these unidentified flying objects are like

0:02:08.720 --> 0:02:11.720
<v Speaker 1>college experiments that have just floated away. It seems so

0:02:11.800 --> 0:02:15.880
<v Speaker 1>much more likely, right And um, now that you think

0:02:15.880 --> 0:02:19.240
<v Speaker 1>about it, if we haven't been looking you know, above

0:02:19.800 --> 0:02:25.360
<v Speaker 1>sixties seventy uh feet, then maybe there is just a

0:02:25.400 --> 0:02:28.160
<v Speaker 1>bunch of debris floating around there, just like there's a

0:02:28.160 --> 0:02:33.800
<v Speaker 1>lot of space debris. Yes, absolutely, Yeah. Talking specifically about

0:02:33.800 --> 0:02:35.799
<v Speaker 1>these objects that we've been shooting down in the last

0:02:35.800 --> 0:02:39.840
<v Speaker 1>few days, I don't think there's any extraterrestrial thing about them.

0:02:39.880 --> 0:02:42.919
<v Speaker 1>I think this is likely either it is a Chinese

0:02:42.960 --> 0:02:45.520
<v Speaker 1>surveillance balloon it's a smaller size that they're using to

0:02:45.560 --> 0:02:48.639
<v Speaker 1>try to probe our defenses, or these things may being

0:02:48.720 --> 0:02:50.920
<v Speaker 1>up there and we just haven't seen them. Now that

0:02:50.960 --> 0:02:55.239
<v Speaker 1>we're looking closer, now that we have a signature based

0:02:55.240 --> 0:02:58.040
<v Speaker 1>on the on the on following the balloon that went

0:02:58.320 --> 0:03:00.480
<v Speaker 1>all the way across the United States, which might have

0:03:00.560 --> 0:03:02.560
<v Speaker 1>been able to find tune our radar so that we

0:03:02.600 --> 0:03:04.880
<v Speaker 1>can see these type of things. It doesn't mean that

0:03:04.960 --> 0:03:08.360
<v Speaker 1>these these are all new. It could be these these

0:03:08.520 --> 0:03:11.520
<v Speaker 1>uh weather balloons. We just don't know. Until we get

0:03:11.520 --> 0:03:15.720
<v Speaker 1>to the debris and do an analysis, we should withhold judgment.

0:03:16.440 --> 0:03:18.320
<v Speaker 1>But if it is the Chinese and it looks like

0:03:18.360 --> 0:03:22.280
<v Speaker 1>to me a deliberate provocation to the United States, So, Mike,

0:03:22.360 --> 0:03:26.520
<v Speaker 1>I mean, we have satellites, lots of satellites. I'm assuming

0:03:26.639 --> 0:03:31.240
<v Speaker 1>China has lots of satellites, aren't satellites better than balloons?

0:03:31.280 --> 0:03:34.440
<v Speaker 1>I mean, isn't balloons so last century? Last on an

0:03:34.440 --> 0:03:38.880
<v Speaker 1>early part of the last century. So that is what

0:03:39.320 --> 0:03:43.720
<v Speaker 1>the common belief is that they Chinese have our satellites

0:03:43.840 --> 0:03:46.000
<v Speaker 1>and as you might imagine, most of them are focused

0:03:46.000 --> 0:03:48.560
<v Speaker 1>on the United States, so they can collect a lot

0:03:48.560 --> 0:03:53.680
<v Speaker 1>of this information via their satellite program. But these balloons,

0:03:53.960 --> 0:03:56.280
<v Speaker 1>they are steerable, they seem to be able to log

0:03:56.360 --> 0:03:58.960
<v Speaker 1>or over areas. They're closer to the ground, so they

0:03:58.960 --> 0:04:03.040
<v Speaker 1>can collect signals intelligence. So there is an advantage to

0:04:03.320 --> 0:04:07.400
<v Speaker 1>having both platforms because you can't do that with satellites.

0:04:07.440 --> 0:04:11.160
<v Speaker 1>They just simply can't just sit right over, say Maelstrom

0:04:11.160 --> 0:04:13.920
<v Speaker 1>Airbase where I am in Montana and stare at our

0:04:14.840 --> 0:04:18.440
<v Speaker 1>I C B M silos. This balloon could do that

0:04:18.560 --> 0:04:21.239
<v Speaker 1>and did do that. So that's uh, that's a concern

0:04:21.279 --> 0:04:23.640
<v Speaker 1>to us. We have to be able to defend ourselves

0:04:24.520 --> 0:04:27.640
<v Speaker 1>from collection of this type of really sensitive information. It

0:04:27.640 --> 0:04:30.960
<v Speaker 1>would be great, um if we were ready to defend ourselves,

0:04:31.000 --> 0:04:32.560
<v Speaker 1>but it seems like what we'd like to do is

0:04:32.560 --> 0:04:34.880
<v Speaker 1>take a week to think about it first. You know,

0:04:35.279 --> 0:04:39.200
<v Speaker 1>we spotted this uh alleged spy balloon when it was

0:04:39.279 --> 0:04:41.920
<v Speaker 1>over Alaska and then waited until it got to the

0:04:41.960 --> 0:04:45.800
<v Speaker 1>Carolinas to shoot it down. Doesn't that seem to you

0:04:46.680 --> 0:04:52.720
<v Speaker 1>a little bit stupid? I mean, if they're collecting intelligence, um,

0:04:52.800 --> 0:04:54.960
<v Speaker 1>we let them have everything they could get and then

0:04:54.960 --> 0:04:58.919
<v Speaker 1>stop them when they got back to the ocean. Yeah,

0:04:58.960 --> 0:05:01.360
<v Speaker 1>that's a really good point. I mean, if you're if

0:05:01.360 --> 0:05:03.400
<v Speaker 1>you're asking me, I want to advise the president to

0:05:03.400 --> 0:05:05.159
<v Speaker 1>shoot it down as soon as we saw it. I

0:05:05.200 --> 0:05:06.960
<v Speaker 1>don't know that we did see it until it was

0:05:07.000 --> 0:05:09.960
<v Speaker 1>actually this was just my speculation until it was down

0:05:10.080 --> 0:05:13.520
<v Speaker 1>in the comminentally United States, and then the military decided

0:05:13.839 --> 0:05:17.080
<v Speaker 1>either it was too dangerous to shoot down over populated

0:05:17.120 --> 0:05:21.280
<v Speaker 1>area or they saw and this has been reported that

0:05:21.360 --> 0:05:25.239
<v Speaker 1>they stopped transmitting information back to China. So the US

0:05:25.480 --> 0:05:28.920
<v Speaker 1>military and intelligence community may have wanted to let it

0:05:28.960 --> 0:05:33.080
<v Speaker 1>go since it wasn't um sending information back to be

0:05:33.160 --> 0:05:35.000
<v Speaker 1>able to collect on what it was doing and how

0:05:35.000 --> 0:05:37.960
<v Speaker 1>it did interesting, and then we shot it down right

0:05:37.960 --> 0:05:41.080
<v Speaker 1>after it got finished. But the Chinese, if it's true

0:05:41.080 --> 0:05:44.800
<v Speaker 1>that they didn't transmit anything, never got the intelligence they

0:05:44.880 --> 0:05:47.080
<v Speaker 1>collected because that went to the bottom of the ocean,

0:05:47.160 --> 0:05:50.679
<v Speaker 1>and we are currently trying to get that up and

0:05:51.200 --> 0:05:54.640
<v Speaker 1>analyze it. Mico, what does this mean about just or

0:05:55.040 --> 0:05:56.960
<v Speaker 1>that doesn't mean anything, or what does it mean about

0:05:57.080 --> 0:06:00.160
<v Speaker 1>US China? You know relations here over the last to

0:06:00.240 --> 0:06:05.400
<v Speaker 1>ten days here, So we're we're hitting a pretty uh

0:06:05.520 --> 0:06:09.320
<v Speaker 1>substantial law. Quite frankly, I don't think it's been my

0:06:09.480 --> 0:06:14.239
<v Speaker 1>knowledge this way until before we normalize relations in nineteen

0:06:14.279 --> 0:06:18.480
<v Speaker 1>seventy nine. So, but these things do happen. We collect

0:06:18.520 --> 0:06:22.320
<v Speaker 1>intelligence on all our adversaries, they collect intelligence on us.

0:06:22.600 --> 0:06:25.840
<v Speaker 1>We try to prevent them from collect intelligence on us

0:06:25.880 --> 0:06:29.680
<v Speaker 1>just like they do. It's it is what nations do. Um.

0:06:29.720 --> 0:06:33.840
<v Speaker 1>It has caused a diplomatic riff. Secretary blinking is canceled,

0:06:33.920 --> 0:06:37.000
<v Speaker 1>is or postponed at least is tripped there. But I

0:06:37.040 --> 0:06:39.599
<v Speaker 1>do think it's important for both countries to realize that

0:06:39.680 --> 0:06:43.400
<v Speaker 1>we're completely intertwined on so many things. Were both superpowers,

0:06:43.440 --> 0:06:48.960
<v Speaker 1>if you will, and we have to maintain diplomatic direct communications.

0:06:48.960 --> 0:06:52.960
<v Speaker 1>Like the idea that they didn't answer Secretary Austin's call

0:06:53.080 --> 0:06:57.400
<v Speaker 1>our Secretary defense is really irresponsible. We need to make

0:06:57.440 --> 0:07:01.880
<v Speaker 1>sure that nothing leads to a broader conflict that neither country,

0:07:02.000 --> 0:07:05.360
<v Speaker 1>uh would one? Right? All right, man, great stuff, good

0:07:05.360 --> 0:07:08.599
<v Speaker 1>to check in with you on this evolving story. Mc mulroy.

0:07:08.600 --> 0:07:10.880
<v Speaker 1>He's a co founder of the Lobo Institute. A lot

0:07:10.960 --> 0:07:13.360
<v Speaker 1>of experience and all the power military stuff. Former power

0:07:13.400 --> 0:07:16.120
<v Speaker 1>Military Operations officer at c I, A former U. S.

0:07:16.160 --> 0:07:20.400
<v Speaker 1>Marine Infantry officer, and former Deputy Assistant Secretary of Defense

0:07:20.440 --> 0:07:22.280
<v Speaker 1>for the Middle East at the U. S. Department of Defense.

0:07:22.320 --> 0:07:26.080
<v Speaker 1>So broad range of experienced. Sara trying to the bottom

0:07:26.120 --> 0:07:28.720
<v Speaker 1>of kind of this balloon issue which has kind of

0:07:28.720 --> 0:07:31.000
<v Speaker 1>comeing become a top story over the last week or so.

0:07:31.040 --> 0:07:33.920
<v Speaker 1>How important is it? Uh, you know, how concerned should

0:07:33.960 --> 0:07:36.760
<v Speaker 1>we be? What does it mean for the future or

0:07:36.800 --> 0:07:39.880
<v Speaker 1>even the immediate future international relationship between the U. S.

0:07:39.920 --> 0:07:42.840
<v Speaker 1>And China. So we'll continue to monitor the reporting. They're

0:07:42.840 --> 0:07:45.840
<v Speaker 1>looking at the markets here SMP up one half of

0:07:45.920 --> 0:07:49.080
<v Speaker 1>one per cent. We'll love more coming up. This is Bloomberg.

0:07:53.360 --> 0:07:55.760
<v Speaker 1>But it was a big night for the Kansas City Chiefs.

0:07:55.760 --> 0:07:57.840
<v Speaker 1>A big night. I think we're gonna find out for America,

0:07:58.040 --> 0:08:00.760
<v Speaker 1>for America, big night for Fox who the broadcast, right,

0:08:00.800 --> 0:08:02.480
<v Speaker 1>So we'll get the ratings later today. I'm sure they're

0:08:02.480 --> 0:08:05.280
<v Speaker 1>gonna be pretty pretty darn good. Question is how big

0:08:05.280 --> 0:08:08.559
<v Speaker 1>a night was it for advertisers who put some big,

0:08:08.600 --> 0:08:11.240
<v Speaker 1>big money to work. Seven million dollars for a thirty

0:08:11.240 --> 0:08:13.720
<v Speaker 1>second spot. Mark Douglas, President and CEO of Mountain Joints,

0:08:13.800 --> 0:08:17.480
<v Speaker 1>is here Mark again for advertisers, this is the biggest

0:08:17.560 --> 0:08:19.480
<v Speaker 1>day of the year for a lot of these folks.

0:08:19.520 --> 0:08:22.720
<v Speaker 1>They put up huge money to reach what is a

0:08:22.800 --> 0:08:26.360
<v Speaker 1>huge audience. What are there you takeaways? Um, well, there

0:08:26.360 --> 0:08:28.280
<v Speaker 1>were a lot of good ads. I mean, I think

0:08:28.280 --> 0:08:30.760
<v Speaker 1>there are a few people going, Um, why did we

0:08:30.880 --> 0:08:34.160
<v Speaker 1>do that? Because you watch a few of the ads

0:08:34.160 --> 0:08:38.559
<v Speaker 1>and you're like, um, who approved that exactly? And then

0:08:38.600 --> 0:08:40.920
<v Speaker 1>spend seven million dollars on top of it to area?

0:08:41.040 --> 0:08:43.160
<v Speaker 1>So how much is seven million dollars for like a

0:08:43.200 --> 0:08:47.760
<v Speaker 1>minute long spot or um? And just you know, five

0:08:47.840 --> 0:08:49.839
<v Speaker 1>years ago was two million dollars, you know. So it's

0:08:49.840 --> 0:08:52.840
<v Speaker 1>just amazing the inflation. And again the second was such

0:08:52.880 --> 0:08:56.320
<v Speaker 1>a spectacle for me, having just come back from living

0:08:56.320 --> 0:08:58.760
<v Speaker 1>in Berlin for the past six years. I'm not used

0:08:58.800 --> 0:09:01.120
<v Speaker 1>to this kind of patriotism him. But then it's patriotism

0:09:01.200 --> 0:09:04.120
<v Speaker 1>on steroids. And then it's almost like a parody of patriotism.

0:09:04.200 --> 0:09:07.000
<v Speaker 1>It's like a circus making fun of how patriotic they are.

0:09:07.040 --> 0:09:09.280
<v Speaker 1>It was pretty crazy, but I guess that's just where

0:09:09.280 --> 0:09:11.200
<v Speaker 1>we are. Well, the NFL knows how to put on

0:09:11.200 --> 0:09:13.439
<v Speaker 1>a good show. I was at last year's Super Bowl,

0:09:13.679 --> 0:09:17.920
<v Speaker 1>and you know, I got Doctor Dre, I got Snoop Dog.

0:09:18.520 --> 0:09:22.839
<v Speaker 1>The halftime show was the game basically last year. So well,

0:09:22.880 --> 0:09:25.640
<v Speaker 1>we Re was apparently very good this year. Yeah, she

0:09:25.720 --> 0:09:27.720
<v Speaker 1>put on a good show. She played all the hits

0:09:27.800 --> 0:09:31.240
<v Speaker 1>and no one was complaining at all. And she she

0:09:31.240 --> 0:09:35.120
<v Speaker 1>she's not afraid of heights. It was like practically the stadium,

0:09:35.280 --> 0:09:38.480
<v Speaker 1>even with child. All right, so let me first get

0:09:38.520 --> 0:09:42.040
<v Speaker 1>your take on how the game went, because I've heard

0:09:42.240 --> 0:09:46.080
<v Speaker 1>a lot of complaints this morning that officials are deciding,

0:09:46.720 --> 0:09:49.719
<v Speaker 1>you know, the outcome with calls that are kind of

0:09:49.760 --> 0:09:53.560
<v Speaker 1>penny any Yeah, that that the call, and right before

0:09:53.679 --> 0:09:56.520
<v Speaker 1>the last score, you know, they scored a field goal,

0:09:56.800 --> 0:09:59.240
<v Speaker 1>and you know, the official I don't think there was

0:09:59.280 --> 0:10:01.480
<v Speaker 1>a hole there, you know, when that's not a sports

0:10:01.520 --> 0:10:04.840
<v Speaker 1>talk show, But I don't think that the defensive corner

0:10:05.000 --> 0:10:09.400
<v Speaker 1>actually held the running back and that basically and created

0:10:09.440 --> 0:10:12.520
<v Speaker 1>the game that basically, I mean Kansas City was already

0:10:12.559 --> 0:10:14.880
<v Speaker 1>pretty close to the goal. Wasn't like they weren't going

0:10:14.920 --> 0:10:16.480
<v Speaker 1>to be able to kick a field goal, but they

0:10:16.520 --> 0:10:18.080
<v Speaker 1>brought got him a lot too. By the way, I

0:10:18.160 --> 0:10:21.839
<v Speaker 1>was rooting for Kansas City only because I think, well,

0:10:21.880 --> 0:10:24.800
<v Speaker 1>Philadelphia fans are the worst fans in the league. I mean,

0:10:24.800 --> 0:10:29.040
<v Speaker 1>they're worse than Ohio State fans. And then, um, my favorite,

0:10:29.200 --> 0:10:31.960
<v Speaker 1>one of my favorite commercials of all time is the

0:10:32.000 --> 0:10:37.160
<v Speaker 1>Snickers commercial when the ground staff is doing the end

0:10:37.280 --> 0:10:40.400
<v Speaker 1>zone in Kansas City and they accidentally right Kansas City chefs.

0:10:41.120 --> 0:10:44.440
<v Speaker 1>They forget the eye. Well, I think I think all

0:10:44.520 --> 0:10:48.040
<v Speaker 1>New Yorkers agree they don't like the Phillies, but you

0:10:48.080 --> 0:10:50.720
<v Speaker 1>know they lit the Empire State Building and their colors

0:10:50.840 --> 0:10:54.720
<v Speaker 1>just a few weeks that it's kind of crazy. So Mark,

0:10:54.760 --> 0:10:57.040
<v Speaker 1>I mean, you buying a thirty second spot for seven

0:10:57.040 --> 0:10:59.240
<v Speaker 1>million dollars, it's just a monster's premium to what you

0:10:59.240 --> 0:11:03.400
<v Speaker 1>would ordinarily pay. Is there when you I mean you're

0:11:03.440 --> 0:11:05.439
<v Speaker 1>in this business, there a payoff? Is there a payoff?

0:11:05.480 --> 0:11:07.560
<v Speaker 1>Is there a payback? I mean, if you're trying, if

0:11:07.600 --> 0:11:11.000
<v Speaker 1>you're in I think there's this fine line between your

0:11:11.160 --> 0:11:14.200
<v Speaker 1>brand that people are starting to know but don't fully

0:11:14.320 --> 0:11:17.640
<v Speaker 1>know yet, and this is your moment. And when I

0:11:17.679 --> 0:11:19.679
<v Speaker 1>look at a lot of ads, I thought that there

0:11:19.720 --> 0:11:22.000
<v Speaker 1>was an ad for pop Corners which was a take

0:11:22.080 --> 0:11:26.160
<v Speaker 1>on Breaking Bad, So there there to give a real

0:11:26.200 --> 0:11:28.600
<v Speaker 1>quick description on the ad. They're basically in the trailer

0:11:29.200 --> 0:11:32.679
<v Speaker 1>and they have devised this new chip to eat and

0:11:32.760 --> 0:11:37.760
<v Speaker 1>it's better than drugs. And the ad ends they're out

0:11:37.760 --> 0:11:40.640
<v Speaker 1>in the desert doing a deal for these pop these

0:11:40.679 --> 0:11:44.240
<v Speaker 1>pop chips. I beg popcorners. I wouldn't have known about

0:11:44.240 --> 0:11:46.679
<v Speaker 1>that project otherwise. And I'm probably gonna try it when

0:11:46.679 --> 0:11:48.480
<v Speaker 1>I go to the supermarket. I'm gonna buy it back.

0:11:48.559 --> 0:11:50.679
<v Speaker 1>And I think I'm gonna try prime. I never heard

0:11:50.679 --> 0:11:53.040
<v Speaker 1>about that, but apparently the kids, it's all the rage.

0:11:53.080 --> 0:11:54.640
<v Speaker 1>It's like a sports drink. I don't know if it's

0:11:54.679 --> 0:11:57.640
<v Speaker 1>any different from Gatorade or uh whatever any of the

0:11:57.679 --> 0:11:59.840
<v Speaker 1>new ones are. But they got a lot of advertising

0:12:00.040 --> 0:12:02.720
<v Speaker 1>terday and apparently they're already huge on social Yeah for sure.

0:12:02.840 --> 0:12:05.400
<v Speaker 1>And then I think the whole night. Um, A lot

0:12:05.440 --> 0:12:09.480
<v Speaker 1>of the best ads were remakes of like shows from

0:12:09.480 --> 0:12:11.960
<v Speaker 1>the two thousands and nineties, so there was, you know,

0:12:12.080 --> 0:12:15.200
<v Speaker 1>basically we just talked about Breaking Bad. There was like

0:12:15.320 --> 0:12:19.480
<v Speaker 1>John Travolta to the musical ads, which was pretty funny. Um,

0:12:19.600 --> 0:12:24.120
<v Speaker 1>the clueless like Alicia Silverstone basically and looking exactly the

0:12:24.200 --> 0:12:28.600
<v Speaker 1>same and shout out to that film. I don't know

0:12:28.720 --> 0:12:31.280
<v Speaker 1>if either of you guys have read Jane Austen's novel,

0:12:31.480 --> 0:12:35.199
<v Speaker 1>but that's basically a redo of Emma. Ok yeah, so

0:12:35.400 --> 0:12:38.920
<v Speaker 1>what a what a good film that it was? Okay

0:12:40.400 --> 0:12:43.800
<v Speaker 1>that clueless And I lived in l A. So you know,

0:12:43.840 --> 0:12:45.880
<v Speaker 1>I kind of as a matter of fact, while John

0:12:45.880 --> 0:12:49.280
<v Speaker 1>Travolta was singing and dancing, I actually think I recognized

0:12:49.320 --> 0:12:52.160
<v Speaker 1>the street in Los Angeles was on filming that. So

0:12:52.200 --> 0:12:54.880
<v Speaker 1>what about this, I mean, as more and more programming

0:12:54.920 --> 0:12:56.800
<v Speaker 1>goes to streaming services, what do you think the NFL

0:12:56.880 --> 0:12:59.439
<v Speaker 1>is going to do with the rights to the big

0:12:59.520 --> 0:13:03.360
<v Speaker 1>rights for the NFL, like during the season, the you know,

0:13:03.720 --> 0:13:06.719
<v Speaker 1>obviously the playoffs, then of course the Super Bowl. Well,

0:13:06.760 --> 0:13:09.760
<v Speaker 1>you know, that's interesting. There's been people who moved all

0:13:09.800 --> 0:13:13.120
<v Speaker 1>over America and if I think basically streaming fits right

0:13:13.120 --> 0:13:15.520
<v Speaker 1>into that if you want, I remember when I moved

0:13:15.520 --> 0:13:17.800
<v Speaker 1>from New York City where I grew up, to California.

0:13:18.240 --> 0:13:20.720
<v Speaker 1>At the time, I was a huge Giants fan, New

0:13:20.800 --> 0:13:23.800
<v Speaker 1>York Giants fans, and like you couldn't really watch them anymore.

0:13:24.160 --> 0:13:26.480
<v Speaker 1>You can do that now on direct TV, but it's

0:13:26.480 --> 0:13:28.960
<v Speaker 1>so much better on streaming and you can watch it

0:13:29.000 --> 0:13:31.600
<v Speaker 1>at any time. Of course you want to watch it live.

0:13:31.960 --> 0:13:35.240
<v Speaker 1>So I think the NFL is really adepted just adapting

0:13:35.360 --> 0:13:37.720
<v Speaker 1>and streaming just fits right in. It actually brings me

0:13:37.760 --> 0:13:40.320
<v Speaker 1>back to Disney. You know, last couple weeks you've been

0:13:40.320 --> 0:13:47.120
<v Speaker 1>talking about, um, the House of Mouse because uh, the

0:13:47.160 --> 0:13:52.240
<v Speaker 1>CEO came back and they had earnings. And with ESPN,

0:13:52.280 --> 0:13:53.880
<v Speaker 1>I feel like they're leaving so much money on the

0:13:53.920 --> 0:13:57.199
<v Speaker 1>table because I'm not gonna get cable just to get ESPN.

0:13:57.280 --> 0:13:59.920
<v Speaker 1>But I also ESPN Plus should be called ESPN My

0:14:00.080 --> 0:14:03.640
<v Speaker 1>this like, it doesn't have anything, So why can't I

0:14:03.760 --> 0:14:05.920
<v Speaker 1>stream that? I would pay them twenty five dollars a

0:14:05.960 --> 0:14:07.839
<v Speaker 1>month if I had all the content. Yeah, I mean

0:14:08.400 --> 0:14:12.120
<v Speaker 1>ESPN is actually a really good example of how basically

0:14:12.160 --> 0:14:15.360
<v Speaker 1>just using the Internet you can basically reproduce a TV network.

0:14:15.840 --> 0:14:18.320
<v Speaker 1>And so there's so much good sports content not on

0:14:18.440 --> 0:14:21.280
<v Speaker 1>the ESPN that I think they have a lot of

0:14:21.280 --> 0:14:23.760
<v Speaker 1>people like why do I need to watch ESPN? And

0:14:23.800 --> 0:14:26.080
<v Speaker 1>they have to adapt, and I agree with you, they

0:14:26.120 --> 0:14:29.080
<v Speaker 1>haven't done a great job, and it's it's a huge opportunity.

0:14:29.080 --> 0:14:31.800
<v Speaker 1>They have the brand they have the following and and

0:14:31.800 --> 0:14:34.960
<v Speaker 1>it needs to happen. So there's so much change on

0:14:35.680 --> 0:14:39.520
<v Speaker 1>the Super Bowl streaming, you know, advertising, it's all changing,

0:14:39.520 --> 0:14:42.440
<v Speaker 1>and I think it's huge opportunities for everyone. Thirty seconds Mark,

0:14:42.480 --> 0:14:45.480
<v Speaker 1>anything to slow this NFL jugging out down in terms

0:14:45.560 --> 0:14:47.520
<v Speaker 1>of just ratings. I mean, they had some issues a

0:14:47.520 --> 0:14:51.160
<v Speaker 1>few years ago, but man, they seem to be just dominant. Well, Ryan,

0:14:51.240 --> 0:14:53.800
<v Speaker 1>and you know, Ryan Reynolds is trying with Wrexham. Maybe

0:14:53.840 --> 0:14:57.360
<v Speaker 1>we can get a few more soccer fans. So I

0:14:57.360 --> 0:15:00.520
<v Speaker 1>think that works way better in Scotland. And here I

0:15:00.520 --> 0:15:05.120
<v Speaker 1>was gonna say, I'll watch Ryan's content, but not if

0:15:05.200 --> 0:15:08.320
<v Speaker 1>it's if I have to watch soccer exactly. That's right.

0:15:08.320 --> 0:15:10.680
<v Speaker 1>I forgot about that. He's big over there. Well all right, yeah, Mark,

0:15:10.720 --> 0:15:12.680
<v Speaker 1>we're going to let you go. Mark Douglas, President CEO

0:15:12.720 --> 0:15:14.960
<v Speaker 1>of of Mountain, joining us live here on our Bloomberg

0:15:15.360 --> 0:15:17.560
<v Speaker 1>Interact a broker studio, just kind of getting a breakdown

0:15:17.600 --> 0:15:20.200
<v Speaker 1>a little bit of the the day after of the Super Bowl. Uh,

0:15:20.720 --> 0:15:23.760
<v Speaker 1>we're gonna get some ratings later today from Nielsen for

0:15:23.880 --> 0:15:26.200
<v Speaker 1>the Fox Network. Presumably those numbers are gonna be pretty

0:15:26.240 --> 0:15:29.800
<v Speaker 1>darn impressive, and that's what advertisers are paying up for again.

0:15:29.960 --> 0:15:33.280
<v Speaker 1>Seven million dollars for thirty second spot is a huge

0:15:33.360 --> 0:15:36.000
<v Speaker 1>premium um, but a lot of those advertisers they think

0:15:36.000 --> 0:15:43.080
<v Speaker 1>it's worth it more. Coming up this is Bloomberg, all right,

0:15:43.120 --> 0:15:46.080
<v Speaker 1>I'm looking at my Bloomberg terminal. I got my two year,

0:15:46.160 --> 0:15:50.800
<v Speaker 1>ten year thing on the bond stuff. I mean it's inverted.

0:15:50.880 --> 0:15:55.200
<v Speaker 1>It's been inverted for a long time. And there's somebody

0:15:55.200 --> 0:15:56.680
<v Speaker 1>out there who thinks that this is kind of a

0:15:56.680 --> 0:15:59.920
<v Speaker 1>big deal. His name is Cam Harvey, uh, Professor Finance

0:16:00.000 --> 0:16:02.960
<v Speaker 1>at the Fucal School of Business at Duke University, and

0:16:03.000 --> 0:16:05.960
<v Speaker 1>he's kind of the go to person on this from

0:16:05.640 --> 0:16:08.520
<v Speaker 1>a research perspective, being one of the leaders on this

0:16:08.560 --> 0:16:11.320
<v Speaker 1>whole topic of looking at the yield curve and Camp I,

0:16:11.320 --> 0:16:14.280
<v Speaker 1>I you know, full disclosure, I may have been on

0:16:14.320 --> 0:16:16.760
<v Speaker 1>the Duke golf course when you talked about this way

0:16:16.760 --> 0:16:18.280
<v Speaker 1>back in the day, so I might have missed it

0:16:18.280 --> 0:16:20.760
<v Speaker 1>a little bit. I was known to do that back

0:16:20.760 --> 0:16:23.360
<v Speaker 1>in my FUCAL days. UM, talk to us about kind

0:16:23.360 --> 0:16:25.400
<v Speaker 1>of how you're looking at this yield curve. What is

0:16:25.400 --> 0:16:27.520
<v Speaker 1>it telling us? What do you think the FETE is

0:16:27.520 --> 0:16:33.040
<v Speaker 1>taking away from this? So it's complicated. Uh So the

0:16:33.120 --> 0:16:37.640
<v Speaker 1>yield curve predicts economic growth, and indeed that was my

0:16:37.920 --> 0:16:42.880
<v Speaker 1>dissertation in six at the University of Chicago. UM. It's

0:16:42.880 --> 0:16:47.960
<v Speaker 1>got a great track record for forecasting recessions. So eight

0:16:48.480 --> 0:16:51.600
<v Speaker 1>of the last eight and then since I published my dissertation,

0:16:52.040 --> 0:16:55.560
<v Speaker 1>it's four be four with no false signals, and now

0:16:55.720 --> 0:17:00.600
<v Speaker 1>it's inverted. And essentially when I look at this, UM,

0:17:00.640 --> 0:17:03.440
<v Speaker 1>I see the model that I proposed, a very simple

0:17:03.480 --> 0:17:06.960
<v Speaker 1>model and with only one thing that you look at,

0:17:07.320 --> 0:17:09.720
<v Speaker 1>and that's the difference between the tenure yield and the

0:17:09.760 --> 0:17:13.520
<v Speaker 1>three months a treature Bill yielled And I think that

0:17:13.680 --> 0:17:17.720
<v Speaker 1>this time around it's giving a false signal. The three

0:17:17.720 --> 0:17:21.920
<v Speaker 1>months ten years spread is uh way inverted, right, I

0:17:21.960 --> 0:17:26.840
<v Speaker 1>mean negative one and one basis points. I can understand, UM,

0:17:26.840 --> 0:17:29.480
<v Speaker 1>and we've talked about this before that now that we

0:17:29.520 --> 0:17:33.439
<v Speaker 1>all know about it, since since you published UM, you know,

0:17:33.480 --> 0:17:35.919
<v Speaker 1>that changes the equation a little bit because all market

0:17:36.000 --> 0:17:39.600
<v Speaker 1>participants under you know, are expecting something or they know

0:17:39.640 --> 0:17:42.960
<v Speaker 1>what they should or could expect when they see this inversion. UM.

0:17:43.200 --> 0:17:45.639
<v Speaker 1>I can understand that if it was only a slight inversion,

0:17:45.680 --> 0:17:49.040
<v Speaker 1>but since it's such a big inversion, doesn't that raise

0:17:49.119 --> 0:17:55.080
<v Speaker 1>red flags? So it is a pretty substantial inversion. So

0:17:55.119 --> 0:17:58.159
<v Speaker 1>I totally agree with you, But again, you need to

0:17:58.240 --> 0:18:02.040
<v Speaker 1>look at the bigger picture here, and every single business

0:18:02.080 --> 0:18:06.320
<v Speaker 1>cycle is different, and this one has a number of

0:18:06.359 --> 0:18:11.840
<v Speaker 1>things that I think, uh, contrasted with other sort of

0:18:11.880 --> 0:18:16.280
<v Speaker 1>business cycles. UH. And one thing that is really unusual

0:18:16.920 --> 0:18:20.399
<v Speaker 1>is the excess demand for labor, where we've got like

0:18:20.440 --> 0:18:24.800
<v Speaker 1>ten million job openings and one point eight job openings

0:18:24.840 --> 0:18:29.000
<v Speaker 1>for every person that's unemployed. Like that is just really unusual.

0:18:29.520 --> 0:18:31.840
<v Speaker 1>And that means that even if we do slow down,

0:18:31.880 --> 0:18:35.480
<v Speaker 1>and I actually believe that we will slow down, but

0:18:35.720 --> 0:18:39.480
<v Speaker 1>dodge a hard landing. So when we slow down, uh,

0:18:39.520 --> 0:18:43.560
<v Speaker 1>there is enough capacity to absorb those that are laid off,

0:18:44.400 --> 0:18:49.959
<v Speaker 1>and that kind of dulls the blow of the slow economy.

0:18:50.320 --> 0:18:54.160
<v Speaker 1>And what do you say about people kind of expecting

0:18:54.760 --> 0:18:59.120
<v Speaker 1>looking at the indicator and the changes behavior. That's what

0:18:59.160 --> 0:19:02.639
<v Speaker 1>we've been seeing. So we see this deeply inverted yield curve.

0:19:03.000 --> 0:19:09.159
<v Speaker 1>We see companies proactively taking measures to trim uh some

0:19:09.240 --> 0:19:12.560
<v Speaker 1>of their workforce to put them in a stronger position

0:19:13.080 --> 0:19:16.080
<v Speaker 1>when we do go into slower growth. They don't need

0:19:16.160 --> 0:19:20.000
<v Speaker 1>to do anything drastic. And I think that that's overall

0:19:20.080 --> 0:19:22.800
<v Speaker 1>good for the economy. So people are looking at it,

0:19:22.840 --> 0:19:27.520
<v Speaker 1>they take it seriously. That's interesting. So so basically, you know,

0:19:27.720 --> 0:19:31.000
<v Speaker 1>a few decades back you said, look, here's a signal,

0:19:31.440 --> 0:19:35.879
<v Speaker 1>UM that shows us, uh that this outcome is is approaching.

0:19:35.920 --> 0:19:39.720
<v Speaker 1>And now that everyone knows about it, companies say, hey, Cam,

0:19:39.760 --> 0:19:43.119
<v Speaker 1>Harvey publishes paper and he's been right the last few times.

0:19:43.160 --> 0:19:45.080
<v Speaker 1>So now that we see this signal, let's make changes

0:19:45.280 --> 0:19:51.040
<v Speaker 1>to avoid this outcome. Yeah, exactly. So it's called risk management.

0:19:51.680 --> 0:19:55.320
<v Speaker 1>And it's not just businesses, but I think consumers too.

0:19:55.680 --> 0:19:58.720
<v Speaker 1>This indicators in their face and with the eight out

0:19:58.760 --> 0:20:02.400
<v Speaker 1>of eate record, um, you take it seriously. And that

0:20:02.480 --> 0:20:06.000
<v Speaker 1>means you don't uh borrow on your credit card to

0:20:06.080 --> 0:20:09.119
<v Speaker 1>take a vacation at this point because you want to

0:20:09.160 --> 0:20:12.240
<v Speaker 1>be careful. So all of this feeds into behavior, this

0:20:12.359 --> 0:20:16.040
<v Speaker 1>risk management, and again the indicator is giving a correct

0:20:16.119 --> 0:20:20.119
<v Speaker 1>signal in my opinion, in terms of slower growth. But

0:20:20.240 --> 0:20:24.440
<v Speaker 1>I do think that we can dodge a recession, assuming

0:20:24.920 --> 0:20:28.760
<v Speaker 1>the Federal Reserve doesn't mess it up. So that kind

0:20:28.760 --> 0:20:30.919
<v Speaker 1>of goes to my next question, Cam. I mean, you know,

0:20:31.119 --> 0:20:33.440
<v Speaker 1>we have a lot of ECO data this week we've

0:20:34.400 --> 0:20:37.680
<v Speaker 1>what do you think the Federal Reserve should do over

0:20:37.680 --> 0:20:41.919
<v Speaker 1>its next couple of meetings, Well, they should pause, and

0:20:42.080 --> 0:20:45.640
<v Speaker 1>indeed they should have paused last time. So inflation over

0:20:45.680 --> 0:20:49.200
<v Speaker 1>the last six months is running at less than two

0:20:49.200 --> 0:20:54.679
<v Speaker 1>percent annualized. Right. So uh, if you look at the

0:20:54.760 --> 0:20:59.040
<v Speaker 1>key drivers of inflation, a third of the c p

0:20:59.200 --> 0:21:02.959
<v Speaker 1>I and four percent of the personal consumption and expenditure,

0:21:03.080 --> 0:21:06.600
<v Speaker 1>a deflator is linked to shelter. And we've already seen

0:21:06.960 --> 0:21:10.720
<v Speaker 1>what's happened to shelter. We've got rents going down, housing

0:21:10.760 --> 0:21:14.879
<v Speaker 1>prices going down, housing starts permits down, so that is

0:21:14.920 --> 0:21:18.440
<v Speaker 1>definitely cooled. It will take a while to work its

0:21:18.480 --> 0:21:23.480
<v Speaker 1>way through into the inflation rate, but I think that

0:21:24.320 --> 0:21:27.640
<v Speaker 1>the time to pause is now, and that they continue

0:21:27.720 --> 0:21:31.639
<v Speaker 1>to raise. Every single time they do this, they heighten

0:21:31.760 --> 0:21:36.520
<v Speaker 1>the probability pushing us into a hard landing recession, and

0:21:36.560 --> 0:21:41.159
<v Speaker 1>that's completely unnecessary. Hey, can let's switch gears a little bit.

0:21:41.200 --> 0:21:44.760
<v Speaker 1>I know in addition to all your someone will work

0:21:44.840 --> 0:21:46.800
<v Speaker 1>on the yield curve and the FED, you've also done

0:21:46.840 --> 0:21:51.359
<v Speaker 1>a lot of work and research on crypto. Um i'd

0:21:51.359 --> 0:21:53.200
<v Speaker 1>love to get I'm just looking a bitcoin here, that's

0:21:53.200 --> 0:21:54.720
<v Speaker 1>just kind of my go to on my screen here

0:21:54.720 --> 0:21:59.159
<v Speaker 1>it's back up above pushing tys per token UM. So

0:21:59.200 --> 0:22:02.280
<v Speaker 1>that's recovered. When people come up to you in a

0:22:02.280 --> 0:22:05.520
<v Speaker 1>cocktail party and ask you your opinion on crypto, give

0:22:05.600 --> 0:22:08.280
<v Speaker 1>us that level of discussion about how you think about it.

0:22:10.080 --> 0:22:12.960
<v Speaker 1>So the way I look at it is the crypto

0:22:13.320 --> 0:22:18.080
<v Speaker 1>is not just bitcoin, uh, it is a whole ecosystem,

0:22:18.160 --> 0:22:22.600
<v Speaker 1>and it is a way to potentially rebuild our financial

0:22:22.600 --> 0:22:29.400
<v Speaker 1>system whereby we can greatly reduce transactions costs, we can

0:22:29.440 --> 0:22:33.600
<v Speaker 1>do many things that we couldn't do before. UH. And

0:22:34.000 --> 0:22:38.120
<v Speaker 1>this idea of tokenizing all stocks, all bonds, all assets

0:22:38.240 --> 0:22:44.639
<v Speaker 1>is very very attractive. So this builds potentially new companies,

0:22:45.240 --> 0:22:48.440
<v Speaker 1>the so called web three revolution that's happening right now,

0:22:49.119 --> 0:22:53.200
<v Speaker 1>and it shouldn't be just focused on bitcoin or doge coin.

0:22:53.880 --> 0:22:57.840
<v Speaker 1>That this is very diverse, and much of what's happening

0:22:58.280 --> 0:23:02.840
<v Speaker 1>is below the radar screen. The financial system that we've

0:23:02.880 --> 0:23:07.040
<v Speaker 1>got essentially hasn't changed that much in a hundred years.

0:23:07.480 --> 0:23:10.960
<v Speaker 1>There's no reason that it should take two days to

0:23:11.000 --> 0:23:15.679
<v Speaker 1>settle a stock transaction. That should be something that happens instantly.

0:23:16.240 --> 0:23:19.920
<v Speaker 1>But there's a thick layer of middle people that makes

0:23:19.960 --> 0:23:24.040
<v Speaker 1>some money from all of these delays well also transfers,

0:23:24.080 --> 0:23:26.560
<v Speaker 1>I should point out can that people uh you know,

0:23:27.040 --> 0:23:30.560
<v Speaker 1>modern consumers still like reverse ability. I don't know what

0:23:30.640 --> 0:23:32.879
<v Speaker 1>the official word is that in business school talk, but

0:23:33.440 --> 0:23:39.120
<v Speaker 1>you know, if you uh send someone money with um,

0:23:39.160 --> 0:23:45.600
<v Speaker 1>you know uh venmo or what's the one ze zell um,

0:23:45.680 --> 0:23:49.120
<v Speaker 1>it happens instantly. That's great, but you can never get

0:23:49.119 --> 0:23:52.360
<v Speaker 1>it back. So if you're scammed or if you decide

0:23:52.400 --> 0:23:54.199
<v Speaker 1>you want to reverse it, you can do that with

0:23:54.280 --> 0:23:56.040
<v Speaker 1>a normal bank. You can do that with like three

0:23:56.119 --> 0:24:00.560
<v Speaker 1>day settlement, but you can't do it with an instant transfer. Yeah,

0:24:00.640 --> 0:24:03.520
<v Speaker 1>so it's definitely true. So they're always trade offs here.

0:24:04.000 --> 0:24:08.879
<v Speaker 1>So there's costs, there's benefits, and within the crypto space,

0:24:09.119 --> 0:24:12.200
<v Speaker 1>everything is final, so you need to be very careful

0:24:12.640 --> 0:24:17.160
<v Speaker 1>if you're sending something to somebody, um that you're sending

0:24:17.200 --> 0:24:21.399
<v Speaker 1>into the right person. And uh, if you're receiving something

0:24:21.640 --> 0:24:23.960
<v Speaker 1>like some goods, then you need to make sure there's

0:24:24.000 --> 0:24:28.320
<v Speaker 1>some sort of escrow system whereby your money is transferred

0:24:28.920 --> 0:24:33.119
<v Speaker 1>into escrow until you're satisfied with the good So so

0:24:33.160 --> 0:24:39.440
<v Speaker 1>again this is again a technology that essentially gets rid

0:24:39.720 --> 0:24:45.439
<v Speaker 1>of the commercial banking infrastructure makes things much easier to

0:24:45.480 --> 0:24:50.240
<v Speaker 1>deal with much faster. It's a technology of financial inclusion. Also,

0:24:50.840 --> 0:24:54.359
<v Speaker 1>you just need a mobile phone and you're banked. So

0:24:54.359 --> 0:24:56.159
<v Speaker 1>so I do think it's a big deal, and I

0:24:56.200 --> 0:25:01.320
<v Speaker 1>do think that it's largely below the radar, and and

0:25:01.320 --> 0:25:04.480
<v Speaker 1>and what it does is it changes the way that

0:25:04.520 --> 0:25:07.879
<v Speaker 1>we interact on the Internet. Also, we're super easy to

0:25:07.920 --> 0:25:10.840
<v Speaker 1>be paid or to pay. You don't need to worry

0:25:10.840 --> 0:25:15.200
<v Speaker 1>about the banks um because of the time. But we'll

0:25:15.200 --> 0:25:18.080
<v Speaker 1>get back on that for sure. Cam Harvey, Professor Finance

0:25:18.160 --> 0:25:25.760
<v Speaker 1>at Duke University. This is Bloomberg. What happens when Florida

0:25:25.800 --> 0:25:29.720
<v Speaker 1>and Texas blacklist Wall Street's largest municipal bond underwriters because

0:25:29.760 --> 0:25:33.680
<v Speaker 1>of their support for environmental, social and governance practice. Our

0:25:33.680 --> 0:25:36.240
<v Speaker 1>next guest has the answer to that, Matt Winkler. He

0:25:36.359 --> 0:25:39.200
<v Speaker 1>is the editor in chief emeritus for Bloomberg News. Hecky

0:25:39.320 --> 0:25:43.080
<v Speaker 1>is the founder of Bloomberg News way back in the day. Matt,

0:25:43.080 --> 0:25:45.520
<v Speaker 1>thanks for joining us here in our Bloomberg Interactive Broker studio.

0:25:45.960 --> 0:25:48.280
<v Speaker 1>So again, what happens to states like Florida and Texas

0:25:48.400 --> 0:25:51.400
<v Speaker 1>that bands And he's really big underwriters because of their

0:25:51.440 --> 0:25:54.199
<v Speaker 1>stance on e s G and I guess other political stuff.

0:25:54.720 --> 0:25:57.280
<v Speaker 1>Great to be with you. Florida and Texas right now,

0:25:57.880 --> 0:26:04.320
<v Speaker 1>which you have perfect triple A ratings, are paying uh.

0:26:05.400 --> 0:26:13.199
<v Speaker 1>In Florida's case, record spreads over inferior California in the market.

0:26:13.280 --> 0:26:17.760
<v Speaker 1>That's what's happening since two Uh. Well, there are a

0:26:17.840 --> 0:26:22.640
<v Speaker 1>number of reasons. But if you exclude, for example, say

0:26:22.760 --> 0:26:28.439
<v Speaker 1>four banks that you've heard of, City Group, Goldman, Sachs, JP, Morgan,

0:26:28.560 --> 0:26:34.280
<v Speaker 1>and Bank America, which account for of all municipal underwriting

0:26:34.359 --> 0:26:37.360
<v Speaker 1>over the past four years, if you exclude them from

0:26:37.359 --> 0:26:40.240
<v Speaker 1>your routine dead underwritings, it stands to reason that you

0:26:40.280 --> 0:26:43.520
<v Speaker 1>may suffer at least a little liquidity and maybe worse

0:26:43.560 --> 0:26:47.960
<v Speaker 1>than that. So that's uh, that's a start. Um. But

0:26:48.720 --> 0:26:54.120
<v Speaker 1>when you exclude underwriters in general, you're taking away an

0:26:54.119 --> 0:26:59.520
<v Speaker 1>opportunity to get the lowest rates the highest prices. It's

0:26:59.560 --> 0:27:05.119
<v Speaker 1>called petitive bidding, and it's uncompetitive. It's interesting because to

0:27:05.160 --> 0:27:07.040
<v Speaker 1>me it seems like it's part of a broader trend,

0:27:07.080 --> 0:27:10.560
<v Speaker 1>maybe funded by all the fiscal spending that we've gotten.

0:27:10.840 --> 0:27:14.480
<v Speaker 1>We saw a study in the UK that shows each

0:27:14.480 --> 0:27:18.680
<v Speaker 1>household paid an extra thousand pounds because of Brexit now

0:27:18.760 --> 0:27:21.200
<v Speaker 1>we're seeing a study with there's a FED economist that

0:27:21.240 --> 0:27:23.719
<v Speaker 1>you site and a u PEN professor saying that Texas,

0:27:23.800 --> 0:27:28.320
<v Speaker 1>for example, paid an extra five million and change because

0:27:28.440 --> 0:27:32.720
<v Speaker 1>of because they shunned banks that they see as unfriendly

0:27:32.800 --> 0:27:35.879
<v Speaker 1>to gunmakers. Yeah, well, it's not a bad analogy. I

0:27:35.880 --> 0:27:37.639
<v Speaker 1>hadn't thought of it that way. But in the case

0:27:37.680 --> 0:27:41.679
<v Speaker 1>of Brexit, as you bring up, Uh, so much of

0:27:41.960 --> 0:27:46.080
<v Speaker 1>EU trade is with the UK, or was before Brexit,

0:27:46.680 --> 0:27:49.439
<v Speaker 1>and now that the UK doesn't have access to that

0:27:49.520 --> 0:27:52.320
<v Speaker 1>trade at least the way it did, it's paying a

0:27:52.400 --> 0:27:57.360
<v Speaker 1>much higher cost as a result. So similarly, with respect

0:27:57.400 --> 0:28:02.159
<v Speaker 1>to Florida and Texas, they're excluding, you know, banks that

0:28:02.320 --> 0:28:08.280
<v Speaker 1>willingly want to compete to give Texas and Florida rate payers,

0:28:08.640 --> 0:28:12.760
<v Speaker 1>if you like citizens, the lowest possible rate, and their

0:28:12.840 --> 0:28:17.200
<v Speaker 1>governors and legislatures are saying, no, uh, we don't want

0:28:17.320 --> 0:28:21.640
<v Speaker 1>you to participate because these banks advocate for gun safety.

0:28:21.680 --> 0:28:26.000
<v Speaker 1>Because these banks acknowledge the importance of gun safety. I

0:28:26.040 --> 0:28:29.200
<v Speaker 1>wouldn't say their lobbyists so much, it's just that their

0:28:29.240 --> 0:28:34.440
<v Speaker 1>policies are we don't believe that people with an unlimited

0:28:34.480 --> 0:28:38.360
<v Speaker 1>supply of weapons should go into elementary schools and cavalierly

0:28:38.800 --> 0:28:42.400
<v Speaker 1>murder children. The banks are saying, you know, we should

0:28:42.720 --> 0:28:47.160
<v Speaker 1>have gun safety laws that protect against that. Texas specifically says,

0:28:47.200 --> 0:28:50.280
<v Speaker 1>if you take that view, we consider that hostile to

0:28:50.360 --> 0:28:54.400
<v Speaker 1>the firearms industry. We're going to exclude you from underwriting

0:28:54.400 --> 0:28:57.920
<v Speaker 1>our bonds. The real question should be among all of

0:28:58.000 --> 0:29:01.800
<v Speaker 1>us is why are Florida and Texas citizens paying so

0:29:01.880 --> 0:29:05.520
<v Speaker 1>much more than California. I mean, if we're all capitalists here,

0:29:05.760 --> 0:29:08.960
<v Speaker 1>how come nobody's asking that question? So I guess, just

0:29:09.000 --> 0:29:11.880
<v Speaker 1>from the perspective of I guess the governor's feel and

0:29:11.920 --> 0:29:14.800
<v Speaker 1>the other elected officials in these states feel like it's

0:29:14.840 --> 0:29:18.240
<v Speaker 1>popular from a political perspective that, if you know, it's

0:29:18.240 --> 0:29:21.200
<v Speaker 1>hard to explain them paying more slightly higher yield on

0:29:21.320 --> 0:29:23.880
<v Speaker 1>the municipal bond across the state. It's hard to explain

0:29:23.920 --> 0:29:27.160
<v Speaker 1>that concept visa v Maybe the political benefits of saying, hey,

0:29:27.160 --> 0:29:29.920
<v Speaker 1>we're standing up to some of these quote unquote woke

0:29:30.000 --> 0:29:33.440
<v Speaker 1>establishments or entities, Well, they're actually doing the very thing

0:29:33.520 --> 0:29:37.520
<v Speaker 1>they're accusing the banks of. They're actually saying, because of

0:29:37.560 --> 0:29:41.160
<v Speaker 1>our ideology, we're gonna get in way of the free market.

0:29:41.400 --> 0:29:44.400
<v Speaker 1>We're going to deprive our voters from getting the best

0:29:44.440 --> 0:29:49.560
<v Speaker 1>possible rates because we think our ideology is superior to

0:29:49.640 --> 0:29:54.200
<v Speaker 1>everybody else's. That's essentially it. Uh. And what is their ideology?

0:29:54.240 --> 0:29:58.480
<v Speaker 1>They don't believe in diversity and exclusion and inclusion. Okay. Uh.

0:29:58.520 --> 0:30:01.440
<v Speaker 1>And we're talking about Florida State where fifty years ago

0:30:02.120 --> 0:30:06.960
<v Speaker 1>very racist policies prevailed. In Texas pretty much the same thing. Okay,

0:30:07.040 --> 0:30:11.720
<v Speaker 1>So these are these are states that formally enslaved people

0:30:12.280 --> 0:30:16.000
<v Speaker 1>and barely got past it just fifty years ago. Has

0:30:16.000 --> 0:30:19.200
<v Speaker 1>there been any change in the political climate since you've

0:30:19.240 --> 0:30:23.880
<v Speaker 1>alda since the murder of so many children in that school? Um,

0:30:24.120 --> 0:30:27.680
<v Speaker 1>has there been any shift? And we just passed, you know,

0:30:27.840 --> 0:30:32.160
<v Speaker 1>a gun control law, so that gives you some indication

0:30:32.280 --> 0:30:35.840
<v Speaker 1>that public sentiment shifted. And if you look at polls,

0:30:35.920 --> 0:30:38.320
<v Speaker 1>which is always a risky proposition, but if you do

0:30:38.360 --> 0:30:42.320
<v Speaker 1>look at polls, most Americans favor gun safety laws. That's

0:30:42.320 --> 0:30:46.120
<v Speaker 1>a popular position. Okay, that's not controversial. What are the

0:30:46.160 --> 0:30:49.640
<v Speaker 1>big investment banks you mentioned Bank of America, you know,

0:30:49.720 --> 0:30:54.200
<v Speaker 1>City and in a couple other golden sacks. What are they?

0:30:54.800 --> 0:30:57.280
<v Speaker 1>I'm sure their bankers want to make be in these

0:30:57.320 --> 0:30:59.560
<v Speaker 1>deals and get paid and do all that kind of stuff.

0:30:59.560 --> 0:31:02.160
<v Speaker 1>But what's been the banks response? Are they're trying to

0:31:02.160 --> 0:31:04.880
<v Speaker 1>work with these states or are they just acknowledging that

0:31:05.040 --> 0:31:08.360
<v Speaker 1>we have a difference. These banks, by the way, like Bloomberg,

0:31:08.760 --> 0:31:13.600
<v Speaker 1>have employees and have customers, and like Bloomberg, their customers

0:31:13.600 --> 0:31:18.920
<v Speaker 1>and their employees believe in diversity and inclusion, believe in justice,

0:31:19.080 --> 0:31:22.880
<v Speaker 1>believe in equality, believe in all kinds of things that

0:31:23.000 --> 0:31:29.240
<v Speaker 1>come under this uh three letter thing called E s G,

0:31:30.080 --> 0:31:34.280
<v Speaker 1>where sustainability is probably the central pillar of it, which

0:31:34.360 --> 0:31:37.600
<v Speaker 1>is climate change is the biggest threat to all of us,

0:31:37.880 --> 0:31:40.720
<v Speaker 1>and these banks are very mindful of that, and they're

0:31:40.720 --> 0:31:45.080
<v Speaker 1>doing everything they can to try try. Is the right

0:31:45.120 --> 0:31:50.440
<v Speaker 1>word be accommodative of sustainability. Um, So there's a lot

0:31:50.480 --> 0:31:54.720
<v Speaker 1>of company here. Remember E s G is the convergence

0:31:55.000 --> 0:31:59.360
<v Speaker 1>of people's preferences in public policy. It's what around the world,

0:31:59.400 --> 0:32:03.280
<v Speaker 1>what recreasingly people want because they want to figure out

0:32:03.320 --> 0:32:07.480
<v Speaker 1>how do we not harm ourselves going forward? Has that

0:32:07.520 --> 0:32:10.800
<v Speaker 1>been borne out also by the investment data I mean

0:32:11.440 --> 0:32:14.000
<v Speaker 1>um for example, inflos into E t f s or

0:32:14.120 --> 0:32:18.440
<v Speaker 1>performance of E s G assets. Okay, so we're talking

0:32:18.440 --> 0:32:22.640
<v Speaker 1>about assets of thirty five trillion dollars. Okay, that's the

0:32:22.720 --> 0:32:25.240
<v Speaker 1>so called E s G pool of money that we're

0:32:25.240 --> 0:32:30.479
<v Speaker 1>talking about as um you know, and that has happened,

0:32:30.520 --> 0:32:34.520
<v Speaker 1>as I said, because around the world, this is where

0:32:34.640 --> 0:32:39.120
<v Speaker 1>investment is increasingly going. UM. It's something that people want

0:32:39.200 --> 0:32:42.040
<v Speaker 1>to do. It's not imposed upon them. They want to

0:32:42.080 --> 0:32:45.120
<v Speaker 1>do it. And this is where both Texas and Florida

0:32:45.280 --> 0:32:51.320
<v Speaker 1>cynically uh try to uh mislead because what they're arguing

0:32:51.360 --> 0:32:54.760
<v Speaker 1>against is something that people want, not something that's being

0:32:54.800 --> 0:32:58.400
<v Speaker 1>imposed upon them. It bears repeating that California only has

0:32:58.400 --> 0:33:03.320
<v Speaker 1>a double A credit rating, UM, and yet pays less

0:33:03.440 --> 0:33:07.640
<v Speaker 1>in interest than triple A credit rated Texas. I mean,

0:33:07.720 --> 0:33:10.920
<v Speaker 1>it's just mind blowing to me, like twenty basis points correct.

0:33:11.520 --> 0:33:13.840
<v Speaker 1>So we talked about Florida and Texas, and those are

0:33:13.880 --> 0:33:16.240
<v Speaker 1>two huge states. Of course, are there other states that

0:33:16.280 --> 0:33:22.800
<v Speaker 1>are looking to follow Texas and Florida. Interns. Look pretty much,

0:33:23.560 --> 0:33:29.160
<v Speaker 1>if you like, every red state is got something going

0:33:29.560 --> 0:33:36.680
<v Speaker 1>that is specifically opposed to uh E s G. Whether

0:33:36.960 --> 0:33:40.760
<v Speaker 1>it's actually been enacted or it's in progress. Uh. We're

0:33:40.760 --> 0:33:44.200
<v Speaker 1>talking about at least half a dozen states already that

0:33:44.320 --> 0:33:47.440
<v Speaker 1>are following Florida and so we see data like this,

0:33:47.960 --> 0:33:51.320
<v Speaker 1>is there a pushback within Florida, within within Texas when

0:33:51.360 --> 0:33:53.840
<v Speaker 1>they see data like you've brought up in your column

0:33:53.840 --> 0:33:57.560
<v Speaker 1>today about the incremental cost. Well, it's probably too early

0:33:57.600 --> 0:34:02.880
<v Speaker 1>to say, because our profession isn't writing the headline. Why

0:34:02.920 --> 0:34:07.120
<v Speaker 1>are the citizens of Florida and Texas paying more on

0:34:07.200 --> 0:34:12.680
<v Speaker 1>their borrowing when lower rated California is paying a lot less? Yeah,

0:34:12.920 --> 0:34:16.120
<v Speaker 1>that's not a recurring headline. All right, interesting, all right,

0:34:16.719 --> 0:34:19.880
<v Speaker 1>great stuff. Really appreciate it. Matt Winkler, uh with his

0:34:20.000 --> 0:34:25.839
<v Speaker 1>he's a emeritus editor guy at Bloomberg's a founder. Have

0:34:25.880 --> 0:34:28.719
<v Speaker 1>you founded anything there? You founded anything? I mean, but

0:34:28.760 --> 0:34:35.040
<v Speaker 1>he's a founder. This Saturday, to take New Jersey Transit

0:34:35.120 --> 0:34:37.040
<v Speaker 1>into the city to go see a Portland Nets game,

0:34:37.239 --> 0:34:42.520
<v Speaker 1>train was packed standing room only Todayturday on Saturday, people

0:34:42.560 --> 0:34:47.239
<v Speaker 1>coming in to see shows, games, restaurants, party, whatever's today.

0:34:47.360 --> 0:34:49.319
<v Speaker 1>I get on the train for my Monday commute. It

0:34:49.400 --> 0:34:52.440
<v Speaker 1>was basically meaning the conductor that was it. Nobody coming

0:34:52.480 --> 0:34:55.359
<v Speaker 1>into work on Monday's, probably Fridays, and who knows what else.

0:34:55.600 --> 0:34:58.480
<v Speaker 1>That's called hybrid working. The question is what's it costing

0:34:58.800 --> 0:35:02.040
<v Speaker 1>the city of New York. Unfortunately, that is the subject

0:35:02.440 --> 0:35:04.719
<v Speaker 1>of the Bloomberg Big Take Story of the day. You

0:35:04.760 --> 0:35:08.879
<v Speaker 1>know these big Take stories really deeply researched and extraordinarily

0:35:08.920 --> 0:35:12.160
<v Speaker 1>well written, real deep dives into these things. Uh, today

0:35:12.400 --> 0:35:14.239
<v Speaker 1>we have Donna Bore Actually he's a senior reporter for

0:35:14.320 --> 0:35:17.879
<v Speaker 1>Bloomberg Industry Group co wrote this article. Here, Donna, what's

0:35:17.920 --> 0:35:21.759
<v Speaker 1>this remote work this hybrid work model? What's it costing Manhattan?

0:35:23.400 --> 0:35:27.120
<v Speaker 1>A whopping twelve point four billion dollars um? It's sort

0:35:27.120 --> 0:35:32.839
<v Speaker 1>of amazing, right, yeah, a year per um, so per worker. Uh.

0:35:33.280 --> 0:35:36.920
<v Speaker 1>We we ended up working with UM researchers out of

0:35:36.960 --> 0:35:42.200
<v Speaker 1>the Work from Home UM Research Group and Jose Maria Berrero,

0:35:42.800 --> 0:35:48.600
<v Speaker 1>who is a finance professor at Mexico's Institute Technological Autonomo

0:35:49.120 --> 0:35:52.680
<v Speaker 1>and has been part of this team. He basically helped

0:35:52.800 --> 0:35:55.720
<v Speaker 1>us to to figure out what this this giant whopping

0:35:55.800 --> 0:36:00.200
<v Speaker 1>number was. So there's a Work from Home Research group.

0:36:00.400 --> 0:36:05.600
<v Speaker 1>Did they ever come into the office. I suspect that

0:36:05.640 --> 0:36:08.840
<v Speaker 1>they do. So this is what how do you calculate

0:36:08.880 --> 0:36:12.359
<v Speaker 1>the costs? Hears this just me not buying, uh, you know,

0:36:12.960 --> 0:36:16.160
<v Speaker 1>a lunch sandwich on Monday's and Fridays and kind of

0:36:16.160 --> 0:36:19.880
<v Speaker 1>add all that up and everything. Yeah, so so what

0:36:19.960 --> 0:36:23.520
<v Speaker 1>happened and and and what Jose's uh that this was

0:36:23.600 --> 0:36:28.000
<v Speaker 1>exclusive data that was provided to Bloomberg News. Essentially, what

0:36:28.040 --> 0:36:31.319
<v Speaker 1>they did is they've been working UM and tracking work

0:36:31.360 --> 0:36:34.160
<v Speaker 1>from home habits uh and and trend lines for quite

0:36:34.280 --> 0:36:38.080
<v Speaker 1>quite some time. And so in they had a survey

0:36:38.080 --> 0:36:40.840
<v Speaker 1>that they asked participants, Hey, so what did you actually

0:36:40.880 --> 0:36:46.360
<v Speaker 1>spend in on meals, shopping, entertainment UM near the workplace?

0:36:46.880 --> 0:36:49.439
<v Speaker 1>And you know, they've been tracking this research long enough

0:36:49.480 --> 0:36:52.239
<v Speaker 1>that they know that this trend line for work from

0:36:52.320 --> 0:36:55.200
<v Speaker 1>home has really become permanent right there. At a moment,

0:36:55.600 --> 0:36:58.080
<v Speaker 1>just even in the last year, there was a sense

0:36:58.120 --> 0:37:01.200
<v Speaker 1>of like, oh, this is stickiness, but actually work from

0:37:01.239 --> 0:37:04.480
<v Speaker 1>home is sort of a permanent phenomenon UM. And in

0:37:04.560 --> 0:37:07.719
<v Speaker 1>Manhattan that's about thirty less. So people are coming in

0:37:07.760 --> 0:37:10.520
<v Speaker 1>about three and a half days a week according to

0:37:10.560 --> 0:37:13.480
<v Speaker 1>their research, and so they were able to scale what

0:37:13.560 --> 0:37:17.200
<v Speaker 1>people were spending back in twenty nineteen UM to what

0:37:17.239 --> 0:37:19.360
<v Speaker 1>it is, you know, based on a three and a

0:37:19.400 --> 0:37:22.400
<v Speaker 1>half day work week. And so what they found was

0:37:22.800 --> 0:37:27.800
<v Speaker 1>Manhattan was leading across twelve major cities, and per worker

0:37:28.160 --> 0:37:31.040
<v Speaker 1>they were spending four thousand, six D sixty one dollars

0:37:31.400 --> 0:37:35.759
<v Speaker 1>less per year, which is added all together with you

0:37:35.760 --> 0:37:38.680
<v Speaker 1>know inward commuters and those that are residents in Manhattan

0:37:38.680 --> 0:37:42.600
<v Speaker 1>that are working there, um a really giant number. So

0:37:43.480 --> 0:37:45.560
<v Speaker 1>my first thought is where's that money going? I mean,

0:37:45.600 --> 0:37:50.360
<v Speaker 1>are consumers banking it? Are they spending you know money

0:37:50.400 --> 0:37:53.840
<v Speaker 1>at a launch place in Summit, New Jersey or you

0:37:53.840 --> 0:37:58.799
<v Speaker 1>know Scarsdale, New York? Um? Are are they looking at

0:37:58.920 --> 0:38:02.880
<v Speaker 1>entertainment options outside of the city. What's who are the

0:38:02.880 --> 0:38:06.319
<v Speaker 1>winners if New York is the loser? Yeah, I mean

0:38:06.360 --> 0:38:08.759
<v Speaker 1>there there are a couple of things going on here, right.

0:38:09.040 --> 0:38:11.880
<v Speaker 1>So you know, throughout doing this reporting, I mean we

0:38:12.000 --> 0:38:14.960
<v Speaker 1>definitely tried to look at was there a displacement of

0:38:15.000 --> 0:38:17.719
<v Speaker 1>the economic shift of spending, right if you weren't coming

0:38:17.719 --> 0:38:21.440
<v Speaker 1>into Manhattan where you then spending greater amounts you know,

0:38:21.520 --> 0:38:24.399
<v Speaker 1>in your neighborhood or in the outer boroughs. I think

0:38:24.440 --> 0:38:28.319
<v Speaker 1>we all saw that once the pandemic hit, people moved outwards, right,

0:38:28.360 --> 0:38:32.440
<v Speaker 1>they left the they left, um, the island of Manhattan. Um.

0:38:32.520 --> 0:38:35.440
<v Speaker 1>What our reporting has shown, and we used a wide

0:38:35.560 --> 0:38:38.799
<v Speaker 1>range of data sources trying to quantify this, is that

0:38:38.880 --> 0:38:43.239
<v Speaker 1>you really do see a significant uptick um in you know,

0:38:43.360 --> 0:38:49.040
<v Speaker 1>bookings for you know, dining out, retail spending, um, you know,

0:38:49.080 --> 0:38:52.680
<v Speaker 1>and so forth, really in different parts of Brooklyn and

0:38:52.680 --> 0:38:56.840
<v Speaker 1>the Bronx outside of Manhattan. Manhattan is really lagged um

0:38:56.880 --> 0:39:00.440
<v Speaker 1>when it comes to consumer spending. The thing that we

0:39:00.480 --> 0:39:04.120
<v Speaker 1>couldn't answer because this is also fluid, right, We were

0:39:04.200 --> 0:39:07.279
<v Speaker 1>just now getting a sense of like what the real

0:39:07.360 --> 0:39:11.040
<v Speaker 1>impact is is that you can see how much Manhattan

0:39:11.120 --> 0:39:14.840
<v Speaker 1>is losing, but it's much harder to quantify what the

0:39:14.880 --> 0:39:17.319
<v Speaker 1>outer boroughs are actually gaining as a result of this.

0:39:17.640 --> 0:39:20.360
<v Speaker 1>You can look at um sales tax revenue and you

0:39:20.360 --> 0:39:22.960
<v Speaker 1>can see an uptick there, but it's gonna take some

0:39:23.040 --> 0:39:25.360
<v Speaker 1>time for us to really get a sense of the

0:39:25.480 --> 0:39:30.400
<v Speaker 1>full economic impact and how much has shifted. So, Donna,

0:39:30.440 --> 0:39:33.120
<v Speaker 1>you have some great data in this uh, in this story,

0:39:33.200 --> 0:39:35.520
<v Speaker 1>as usual in these big take stories, and one I

0:39:35.560 --> 0:39:38.880
<v Speaker 1>liked was just kind of Manhattan office workers are returning,

0:39:38.960 --> 0:39:40.960
<v Speaker 1>just not every day, and you have some foot traffic

0:39:41.040 --> 0:39:44.200
<v Speaker 1>data percentage of you know, kind of normal traffic through

0:39:44.239 --> 0:39:46.399
<v Speaker 1>a lot of famous buildings in New York City. Thirty

0:39:46.480 --> 0:39:49.040
<v Speaker 1>rockeffell Or Plaza, two VC Street where I used to

0:39:49.040 --> 0:39:51.600
<v Speaker 1>work back in the day, two Park Avenue, and the

0:39:51.600 --> 0:39:56.879
<v Speaker 1>bottom line is it's like on a good day. I mean,

0:39:57.000 --> 0:39:59.680
<v Speaker 1>when you talk to these companies, are I mean, are

0:39:59.680 --> 0:40:02.080
<v Speaker 1>we ever gonna go back? Or is this really the

0:40:02.080 --> 0:40:05.960
<v Speaker 1>new normal? Yeah? I think this really is the new normal.

0:40:06.080 --> 0:40:09.080
<v Speaker 1>And you can see that, you know, even though companies

0:40:09.120 --> 0:40:12.759
<v Speaker 1>have tried to impose work from home um sorry, you know,

0:40:12.800 --> 0:40:16.560
<v Speaker 1>in person work policies, is that it's it's really not working.

0:40:16.920 --> 0:40:19.759
<v Speaker 1>I think that because of the lasting effect of the pandemic,

0:40:20.040 --> 0:40:23.200
<v Speaker 1>people's behavior, both when it comes to spending and how

0:40:23.200 --> 0:40:28.120
<v Speaker 1>they live has really become UM entrenched. And so you know,

0:40:28.560 --> 0:40:31.680
<v Speaker 1>we talked to a bunch of people UM doing field work,

0:40:32.120 --> 0:40:35.200
<v Speaker 1>you know, getting a sense of what their weekly routines

0:40:35.239 --> 0:40:38.080
<v Speaker 1>are these days, and everyone really wants to work from

0:40:38.080 --> 0:40:40.600
<v Speaker 1>home on a on a Friday. It's you know, it's

0:40:40.600 --> 0:40:42.880
<v Speaker 1>part of like an extension of of a long weekend.

0:40:42.920 --> 0:40:45.560
<v Speaker 1>They can log off a little bit earlier, and so

0:40:45.760 --> 0:40:48.160
<v Speaker 1>you can really see it in the data that you know,

0:40:48.200 --> 0:40:53.360
<v Speaker 1>Friday's especially UM office attendance like tanks. What's interesting is

0:40:53.640 --> 0:40:56.440
<v Speaker 1>um Linley Lynn, who helped us analyze a lot of

0:40:56.440 --> 0:40:59.560
<v Speaker 1>this data. You know, really a lot of these trends

0:40:59.560 --> 0:41:02.799
<v Speaker 1>are an exceleration of what was already happening. Um, you know,

0:41:02.920 --> 0:41:06.200
<v Speaker 1>consumer spending was already you know a little bit down

0:41:06.239 --> 0:41:08.920
<v Speaker 1>on Mondays and Fridays to begin with. Um, people came

0:41:08.960 --> 0:41:11.200
<v Speaker 1>in a little bit less you know on those days,

0:41:11.239 --> 0:41:14.960
<v Speaker 1>trying to have longer weekends. But really the pandemic has

0:41:15.040 --> 0:41:18.680
<v Speaker 1>just accelerated all of that, and I think that business

0:41:18.680 --> 0:41:21.440
<v Speaker 1>districts are now having to wrestle with what do we

0:41:21.480 --> 0:41:24.640
<v Speaker 1>do next? What does it mean for the infrastructure, for

0:41:24.680 --> 0:41:30.719
<v Speaker 1>the rail and roads. Yeah, I mean the fewer, fewer commuters,

0:41:30.800 --> 0:41:34.560
<v Speaker 1>fewer people like foot traffic, um coming into Manhattan. Obviously

0:41:34.600 --> 0:41:37.920
<v Speaker 1>it's going to translate into you know, less tax revenue,

0:41:38.040 --> 0:41:41.520
<v Speaker 1>less fair revenue. Um. You end up having you know,

0:41:41.719 --> 0:41:44.400
<v Speaker 1>fewer dollars in the coffer that you know eventually end

0:41:44.440 --> 0:41:48.560
<v Speaker 1>up impacting just the vitality and the economic recovery of

0:41:48.600 --> 0:41:51.920
<v Speaker 1>the city. Right if you have less tax revenue coming in,

0:41:52.000 --> 0:41:55.040
<v Speaker 1>whether it's like personal income tax because people have decided

0:41:55.080 --> 0:41:57.160
<v Speaker 1>that they don't want to they don't need to work

0:41:57.160 --> 0:42:00.920
<v Speaker 1>in Manhattan anymore, they can work elsewhere, or less US revenue,

0:42:01.120 --> 0:42:05.840
<v Speaker 1>you know, there's uh, it hurts, big, big, big story,

0:42:05.920 --> 0:42:09.279
<v Speaker 1>big big numbers as well. Remote work is costing in

0:42:09.320 --> 0:42:12.080
<v Speaker 1>Manhattan more than twelve billion dollars a year. That's a

0:42:12.080 --> 0:42:14.319
<v Speaker 1>big Take story. You can find out a Bloomberg dot

0:42:14.360 --> 0:42:17.160
<v Speaker 1>Com slash a Big Take or ni Space Big Take

0:42:17.239 --> 0:42:20.000
<v Speaker 1>go on the Bloomberg terminal. Donna Barak one of the

0:42:20.000 --> 0:42:22.879
<v Speaker 1>reporters joining us here to bring us that story. She's

0:42:22.920 --> 0:42:27.000
<v Speaker 1>a senior reporter. Not here from home today. Why not?

0:42:27.239 --> 0:42:29.440
<v Speaker 1>You can do it. It's a Monday. The kids are

0:42:29.440 --> 0:42:38.440
<v Speaker 1>doing it. This is Bloomberg. Thanks for listening to the

0:42:38.480 --> 0:42:42.400
<v Speaker 1>Bloomberg Markets podcast. You can subscribe and listen to interviews

0:42:42.400 --> 0:42:46.719
<v Speaker 1>with Apple Podcasts or whatever podcast platform you prefer. I'm

0:42:46.719 --> 0:42:51.160
<v Speaker 1>Matt Miller. I'm on Twitter at Matt Miller, three pt

0:42:51.160 --> 0:42:53.760
<v Speaker 1>on Fall Sweey, I'm on Twitter at pt Sweeney. Before

0:42:53.760 --> 0:42:56.600
<v Speaker 1>the podcast. You can always catch us worldwide at Bloomberg

0:42:56.640 --> 0:42:56.879
<v Speaker 1>Radio