1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,640 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,079 Speaker 1: at Bloomberg dot com slash podcast. All right, let's switch 7 00:00:22,120 --> 00:00:25,439 Speaker 1: gears from the markets a little bit talk about pay 8 00:00:25,480 --> 00:00:28,480 Speaker 1: and the pay gaps, the gender pay gaps. We've heard 9 00:00:28,480 --> 00:00:31,920 Speaker 1: a lot about this issue. It's not getting better by 10 00:00:31,960 --> 00:00:34,360 Speaker 1: many standards, and maybe the pandemic made it even worse. 11 00:00:34,360 --> 00:00:36,880 Speaker 1: And it's certainly affecting all parts of the economy and 12 00:00:36,920 --> 00:00:40,599 Speaker 1: that includes uh NBA's as well. A Lissa Sangster joins us, 13 00:00:40,600 --> 00:00:43,319 Speaker 1: the CEO of Forte Foundation and Lista, thanks so much 14 00:00:43,320 --> 00:00:46,080 Speaker 1: for joining us here. So talk to us about the 15 00:00:46,240 --> 00:00:49,320 Speaker 1: NBA market. Um, I'm on the board of the NBA 16 00:00:49,760 --> 00:00:52,280 Speaker 1: School at Dukes, so I kind of know the day 17 00:00:52,280 --> 00:00:55,040 Speaker 1: to hear. But just share with us, what's the difference 18 00:00:55,120 --> 00:00:59,160 Speaker 1: the pay gender gap for NBA students when they get 19 00:00:59,200 --> 00:01:03,880 Speaker 1: out and then made even later in their career. Sure, 20 00:01:03,960 --> 00:01:06,080 Speaker 1: that's great. I I'd love to say that, you know, 21 00:01:06,120 --> 00:01:09,240 Speaker 1: we're seeing improvement across the board, but of course every 22 00:01:09,319 --> 00:01:12,479 Speaker 1: road has its thorn. UM And on the bright side, 23 00:01:12,520 --> 00:01:15,839 Speaker 1: we're seeing NBA gender pay gap overall shrinks from around 24 00:01:16,720 --> 00:01:20,800 Speaker 1: two years ago to about now so between men and women. 25 00:01:20,840 --> 00:01:23,080 Speaker 1: I'm not saying the GAP's gone, but it definitely has 26 00:01:23,280 --> 00:01:29,000 Speaker 1: um improved. And where is that improvement impetus coming from. 27 00:01:29,120 --> 00:01:33,080 Speaker 1: Is that on companies that these graduates are applying for. 28 00:01:33,400 --> 00:01:36,600 Speaker 1: Is it NBA schools themselves trying to help even things 29 00:01:36,600 --> 00:01:41,360 Speaker 1: out UM? You know, I think it's a combination of factors. 30 00:01:41,440 --> 00:01:44,160 Speaker 1: I think we're seeing more women in the NBA pipeline 31 00:01:44,440 --> 00:01:47,680 Speaker 1: pursuing these UM top careers, so I think you're seeing 32 00:01:47,720 --> 00:01:51,240 Speaker 1: them have access to more of those high paying salaries UM. 33 00:01:51,440 --> 00:01:53,800 Speaker 1: And I think you're seeing companies pay more attention to 34 00:01:53,840 --> 00:01:56,160 Speaker 1: it over the last few years about how they're advancing 35 00:01:56,680 --> 00:01:59,720 Speaker 1: UM employees internally and making sure that there is equitable 36 00:01:59,760 --> 00:02:03,920 Speaker 1: advance intimate across all of those top paying jobs. You know, Lissa, 37 00:02:04,200 --> 00:02:07,200 Speaker 1: one of the issue things that I've seen experienced personally 38 00:02:07,200 --> 00:02:11,840 Speaker 1: in my career having managed people UM, is that oftentimes, 39 00:02:11,919 --> 00:02:15,160 Speaker 1: you know NBA's will male and female will come in 40 00:02:15,200 --> 00:02:20,000 Speaker 1: at a similar or the exact same compensation package. UM, 41 00:02:20,040 --> 00:02:23,040 Speaker 1: But then things go arrive from there. Uh that's where 42 00:02:23,040 --> 00:02:25,560 Speaker 1: the women will lag in future years. And so when 43 00:02:25,560 --> 00:02:28,560 Speaker 1: you get to the partner or managing director level, there 44 00:02:28,639 --> 00:02:32,560 Speaker 1: is by far there's not a fair representation what are 45 00:02:32,600 --> 00:02:34,399 Speaker 1: the challenges there and what are some of the ways 46 00:02:34,400 --> 00:02:38,680 Speaker 1: to address those? Sure, So UM, I definitely think different 47 00:02:38,760 --> 00:02:41,960 Speaker 1: choices are made, and so I think there's kind of 48 00:02:41,960 --> 00:02:46,080 Speaker 1: a combination of uh decisions by the companies and also 49 00:02:46,120 --> 00:02:49,560 Speaker 1: by the individuals pursuing opportunities. And so I think we 50 00:02:49,680 --> 00:02:52,760 Speaker 1: see in our research that women end up several years 51 00:02:52,840 --> 00:02:56,280 Speaker 1: later having fewer direct reports, they have had fewer promotions 52 00:02:56,320 --> 00:02:59,880 Speaker 1: than their male counterparts. And so UM exactly what the 53 00:03:00,040 --> 00:03:03,799 Speaker 1: find all that UM is not specifically clear. Like I said, 54 00:03:03,800 --> 00:03:06,160 Speaker 1: it is a combination of things. But I also think 55 00:03:06,200 --> 00:03:09,720 Speaker 1: that women are often motivated by UM their impact on 56 00:03:10,040 --> 00:03:13,679 Speaker 1: the organization there UM, they're motivated by kind of the 57 00:03:13,760 --> 00:03:17,639 Speaker 1: value that they see that they're contributing. Their less motivated 58 00:03:17,680 --> 00:03:21,000 Speaker 1: by achieving that top salary and that being the indicator 59 00:03:21,040 --> 00:03:23,320 Speaker 1: of their success. And so I think that you see 60 00:03:23,360 --> 00:03:27,079 Speaker 1: women making maybe very different choices about which path they 61 00:03:27,080 --> 00:03:29,639 Speaker 1: take in their career, and often it might be walking 62 00:03:29,680 --> 00:03:31,800 Speaker 1: away from a top salary at a big company and 63 00:03:31,840 --> 00:03:33,880 Speaker 1: going to a smaller company where they feel like they 64 00:03:33,960 --> 00:03:37,560 Speaker 1: have bigger impact, maybe not as big as pay. If 65 00:03:37,600 --> 00:03:39,240 Speaker 1: we kind of step back and take a look at 66 00:03:39,280 --> 00:03:43,040 Speaker 1: the thirty thousand foot view, an NBA isn't cheap, right. 67 00:03:43,080 --> 00:03:45,000 Speaker 1: It costs you a lot of money to invest in 68 00:03:45,080 --> 00:03:51,120 Speaker 1: getting that additional education. Does it still pay off? It 69 00:03:51,240 --> 00:03:54,000 Speaker 1: definitely doesn't and your long term career earnings and in 70 00:03:54,080 --> 00:03:56,480 Speaker 1: the opportunities that are available to you. And so I 71 00:03:56,520 --> 00:03:59,280 Speaker 1: think that often what you see, especially in these full 72 00:03:59,280 --> 00:04:02,320 Speaker 1: time programs you mentioned Duke students are coming through this 73 00:04:02,360 --> 00:04:05,760 Speaker 1: program as career switchers, and they're looking to pivot in 74 00:04:05,800 --> 00:04:08,280 Speaker 1: their career and go into something that they would not 75 00:04:08,360 --> 00:04:11,600 Speaker 1: have had an access to normally without that NBA experience 76 00:04:11,680 --> 00:04:15,760 Speaker 1: or pathway. So it's opportunity to top jobs working for 77 00:04:16,560 --> 00:04:21,400 Speaker 1: very important companies and places that they can do amazing things. 78 00:04:21,400 --> 00:04:24,680 Speaker 1: And so those opportunities aren't always available to you without 79 00:04:24,720 --> 00:04:26,880 Speaker 1: that pivot. And I will say that one of the 80 00:04:26,960 --> 00:04:31,360 Speaker 1: things Sporting Foundation does is supply scholarships through our Business 81 00:04:31,360 --> 00:04:35,120 Speaker 1: School for women pursuing those MBAs so they are given 82 00:04:35,200 --> 00:04:39,760 Speaker 1: opportunities those top women candidate to pursue these nbas with 83 00:04:39,880 --> 00:04:45,200 Speaker 1: a substantial scholarship support. So listen, can you give us 84 00:04:45,240 --> 00:04:47,919 Speaker 1: maybe some examples or an example of an industry or 85 00:04:47,920 --> 00:04:51,520 Speaker 1: a company that's doing this well that it's narrowing that 86 00:04:51,720 --> 00:04:57,680 Speaker 1: gender pay pay gap UM. I think that, uh that 87 00:04:57,760 --> 00:05:00,000 Speaker 1: I well, I don't know that I have a specific 88 00:05:00,000 --> 00:05:04,039 Speaker 1: a company or industry. I would say those the companies 89 00:05:04,040 --> 00:05:07,520 Speaker 1: that are out there working UM at this you know, 90 00:05:07,560 --> 00:05:10,440 Speaker 1: a graduation you mentioned, they're all on parity, but as 91 00:05:10,440 --> 00:05:13,640 Speaker 1: they progress through their career. I think the monitoring of 92 00:05:13,720 --> 00:05:16,560 Speaker 1: that is probably something that's the bigger companies are doing 93 00:05:16,600 --> 00:05:20,479 Speaker 1: better because they are required to pay attention to these 94 00:05:20,480 --> 00:05:24,880 Speaker 1: things from external forces UM and and additionally, they are 95 00:05:25,240 --> 00:05:28,560 Speaker 1: very internally committed to diversity, equity and inclusion, and so 96 00:05:28,640 --> 00:05:32,400 Speaker 1: they have big operations inside that are actually monitoring this. 97 00:05:32,880 --> 00:05:35,640 Speaker 1: And honestly, those who are monitoring it are the ones 98 00:05:35,680 --> 00:05:38,120 Speaker 1: that are going to be seeing this success. That doesn't 99 00:05:38,160 --> 00:05:40,520 Speaker 1: mean that they can eliminate all of the other factors 100 00:05:40,560 --> 00:05:42,800 Speaker 1: in terms of decision making by the women, but they 101 00:05:42,839 --> 00:05:47,839 Speaker 1: are looking at how they advance UM diverse UM employees 102 00:05:47,920 --> 00:05:51,520 Speaker 1: through that pipeline into leadership. All right, lista, thank you 103 00:05:51,600 --> 00:05:54,880 Speaker 1: so much, we appreciate it. Listened Sankster, CEO Forte Foundation, 104 00:05:54,920 --> 00:05:58,240 Speaker 1: talk about the gender pay gap. That is an issue 105 00:05:58,279 --> 00:06:01,320 Speaker 1: clearly for a lot of businesses and a lot of people, 106 00:06:01,880 --> 00:06:08,560 Speaker 1: including MBA's Consumer confidence came out for the month of September. 107 00:06:08,920 --> 00:06:12,920 Speaker 1: Still a pretty good number, but below expectations. Let's check 108 00:06:12,960 --> 00:06:16,080 Speaker 1: in with Lynn Franco, Director of Economic Indicators and Surveys 109 00:06:16,120 --> 00:06:19,360 Speaker 1: at the Conference Board to break down this data. So Lynn, 110 00:06:19,560 --> 00:06:22,120 Speaker 1: again a little bit less than what Wall Street was expecting, 111 00:06:22,120 --> 00:06:26,080 Speaker 1: but still a decent number. Help us put into context. Yes, 112 00:06:26,279 --> 00:06:28,360 Speaker 1: I mean, you know, we had a decline in confidence 113 00:06:28,360 --> 00:06:30,480 Speaker 1: and it's actually sort of going on a downward trend 114 00:06:30,520 --> 00:06:33,320 Speaker 1: for the last three months. But a lot of this 115 00:06:33,400 --> 00:06:36,839 Speaker 1: is really doing really the result of the delta variant, 116 00:06:36,880 --> 00:06:40,159 Speaker 1: which has really sort of been this dark cloud over consumers. 117 00:06:40,200 --> 00:06:44,479 Speaker 1: It continues to dampen optimism, but there's still optimistic enough 118 00:06:44,520 --> 00:06:46,760 Speaker 1: that they feel that the recovery is going to continue 119 00:06:46,800 --> 00:06:49,839 Speaker 1: not only for the remainder this year, but into two 120 00:06:49,880 --> 00:06:52,240 Speaker 1: as well. I find the dig around the labor market 121 00:06:52,240 --> 00:06:55,600 Speaker 1: particularly interesting. We were just listening to FED chairman Jerome 122 00:06:55,640 --> 00:06:57,880 Speaker 1: Pale testifying on Capitol Hill in front of the Senate 123 00:06:57,880 --> 00:07:01,640 Speaker 1: about how participate is still really low. There's a lot 124 00:07:01,640 --> 00:07:03,920 Speaker 1: of jobs out there, but not necessarily enough people to 125 00:07:03,960 --> 00:07:05,839 Speaker 1: fill them. And I see that in the survey, fifty 126 00:07:05,920 --> 00:07:09,840 Speaker 1: six of consumers said that jobs are plentiful. So people 127 00:07:09,840 --> 00:07:13,360 Speaker 1: know there's jobs out there, Yes, they do. And I 128 00:07:13,400 --> 00:07:15,480 Speaker 1: think what we're seeing is that some of these labor 129 00:07:15,520 --> 00:07:20,440 Speaker 1: shortages are in sort of you know, gu collar type jobs. Um. 130 00:07:20,560 --> 00:07:23,480 Speaker 1: Some of that is due a to you know, inability 131 00:07:23,520 --> 00:07:27,240 Speaker 1: to find labor. There's still some fears about COVID, there's 132 00:07:27,280 --> 00:07:31,040 Speaker 1: still some childcare issues which are preventing women in particular 133 00:07:31,080 --> 00:07:33,520 Speaker 1: from getting back into the labor force. So there are 134 00:07:33,600 --> 00:07:36,920 Speaker 1: some challenges um that we are still facing, and a 135 00:07:36,960 --> 00:07:40,200 Speaker 1: lot of those are delta related. So I think as 136 00:07:40,240 --> 00:07:43,800 Speaker 1: we begin to sort of hopefully see the variant retreat 137 00:07:43,840 --> 00:07:46,080 Speaker 1: a bit, I think we're seeing at least some indications 138 00:07:46,120 --> 00:07:49,040 Speaker 1: maybe that you know, the levels are starting to come down, 139 00:07:49,400 --> 00:07:51,960 Speaker 1: that will continue to recover, and that you know, the 140 00:07:52,000 --> 00:07:55,640 Speaker 1: employment growth will be a little bit more robust. And 141 00:07:56,800 --> 00:08:00,840 Speaker 1: the Expectations Index, which is based on consumers term outlook 142 00:08:00,880 --> 00:08:04,000 Speaker 1: for income, business and labor market conditions that fell to 143 00:08:04,120 --> 00:08:07,720 Speaker 1: eighty six point six from eight. Is that concerning to you. 144 00:08:08,880 --> 00:08:10,520 Speaker 1: I think what we're just saying here is a very 145 00:08:10,560 --> 00:08:14,200 Speaker 1: cautious consumer, right, So we've seen a little bit of 146 00:08:14,720 --> 00:08:17,800 Speaker 1: a decline in their expectations for the economy over the 147 00:08:17,800 --> 00:08:21,920 Speaker 1: short term jobs in particular, also a little less so 148 00:08:22,040 --> 00:08:24,760 Speaker 1: in income. So that's good news because we expect to 149 00:08:24,840 --> 00:08:28,320 Speaker 1: consumers to continue to spend and support economic growth. I 150 00:08:28,360 --> 00:08:30,200 Speaker 1: think it's going to be very important to see what 151 00:08:30,240 --> 00:08:32,719 Speaker 1: happens over the next month or two because I think 152 00:08:32,720 --> 00:08:36,360 Speaker 1: we've shifted gears from a very optimistic consumer early in 153 00:08:36,400 --> 00:08:39,240 Speaker 1: the summer to a more cautious optimistic heading into the fall. 154 00:08:40,040 --> 00:08:43,120 Speaker 1: How do inflation expectations factor into this as well, because 155 00:08:43,160 --> 00:08:45,760 Speaker 1: to this point, consumers have been pretty tolerant of the 156 00:08:45,760 --> 00:08:47,840 Speaker 1: fact that prices have been going up because of higher 157 00:08:47,840 --> 00:08:50,760 Speaker 1: input costs. But at a certain level, I would imagine 158 00:08:50,760 --> 00:08:53,320 Speaker 1: that they're going to become less tolerant in that Fears 159 00:08:53,320 --> 00:08:58,360 Speaker 1: around inflation with effect behavior, right, you know, generally tend 160 00:08:58,480 --> 00:09:01,720 Speaker 1: to impact a consumer sub perceptions of earning power, and 161 00:09:01,720 --> 00:09:04,720 Speaker 1: we would see that sort of in the income expectations. 162 00:09:04,880 --> 00:09:09,480 Speaker 1: Are interest rate expectations actually fell, So that's good news. 163 00:09:09,720 --> 00:09:13,480 Speaker 1: It's still elevated, um, but it's it's fallen off a 164 00:09:13,480 --> 00:09:15,720 Speaker 1: little bit, and so far we really haven't seen it 165 00:09:15,840 --> 00:09:22,120 Speaker 1: have a major impact on spending. Supplemental unemployment benefits began 166 00:09:22,160 --> 00:09:26,720 Speaker 1: expiring for a lot of people in early September. How 167 00:09:26,760 --> 00:09:29,880 Speaker 1: did that factor into the data or the expectations data? 168 00:09:31,440 --> 00:09:35,760 Speaker 1: I think you know, it really factors into perhaps income expectations, 169 00:09:36,240 --> 00:09:39,200 Speaker 1: but we didn't take a hard hit there in terms 170 00:09:39,240 --> 00:09:43,040 Speaker 1: of employment expectations. That's pretty much following business conditions, right. 171 00:09:43,120 --> 00:09:46,080 Speaker 1: We need better business conditions and in order to generate 172 00:09:46,320 --> 00:09:49,720 Speaker 1: more employment. So I think you know, in both ways, 173 00:09:49,760 --> 00:09:53,000 Speaker 1: consumers are just a little bit cautious. They've probably hit 174 00:09:53,040 --> 00:09:56,000 Speaker 1: the pause button temporarily, but we don't think this is 175 00:09:56,080 --> 00:09:59,760 Speaker 1: sort of a continued downward trend. All right, Lynn, thank 176 00:09:59,760 --> 00:10:01,760 Speaker 1: you so which we appreciate that. Linn Franco, Director of 177 00:10:01,800 --> 00:10:05,000 Speaker 1: Economic Indicators and Surveys at the conference board on the 178 00:10:05,040 --> 00:10:08,080 Speaker 1: consumer confidence data out this morning for the month of September. 179 00:10:10,559 --> 00:10:13,040 Speaker 1: That was Secretary of the Treasuric Jenny Yelling, along with 180 00:10:13,040 --> 00:10:18,560 Speaker 1: FED Chairman j Palell testimony in front of members of Congress. Uh, 181 00:10:18,640 --> 00:10:20,000 Speaker 1: let's get a little bit of a recap there, we 182 00:10:20,000 --> 00:10:23,200 Speaker 1: can do it that the Bloomberg's Economics editor Michael McKee. Michael, 183 00:10:23,200 --> 00:10:27,400 Speaker 1: first of all, why are these two individuals testifying in 184 00:10:27,440 --> 00:10:29,920 Speaker 1: front of Congress? Why are they bringing their testimony? This 185 00:10:30,000 --> 00:10:32,720 Speaker 1: is a relic of the Cares Act. When the Care's 186 00:10:32,720 --> 00:10:35,400 Speaker 1: Act was passed, it required the Secretary of the Treasury 187 00:10:35,400 --> 00:10:37,760 Speaker 1: and the Fed Chairman to come up to Capitol Hill 188 00:10:37,840 --> 00:10:40,240 Speaker 1: quarterly and report on how things are going in terms 189 00:10:40,240 --> 00:10:43,240 Speaker 1: of spending out the money and the rescue programs that 190 00:10:43,240 --> 00:10:44,800 Speaker 1: they had in place. So it's a bit of a 191 00:10:44,840 --> 00:10:47,240 Speaker 1: relic now since most of the money has been distributed, 192 00:10:47,600 --> 00:10:50,200 Speaker 1: but it's still in place, so so they are there. 193 00:10:51,080 --> 00:10:53,960 Speaker 1: Obviously this is used in part to do some political 194 00:10:54,040 --> 00:10:56,440 Speaker 1: posturing on the behalf of these senators. A lot of 195 00:10:56,480 --> 00:10:59,800 Speaker 1: debate on the fiscal conversation that doesn't necessarily have bearing 196 00:10:59,840 --> 00:11:03,319 Speaker 1: for the Fed Chairman. But asked about the debt ceiling 197 00:11:03,760 --> 00:11:05,800 Speaker 1: was the Treasury secretary and she warned about it being 198 00:11:06,000 --> 00:11:09,800 Speaker 1: potentially disastrous if it isn't raised, saying that these are 199 00:11:09,840 --> 00:11:12,439 Speaker 1: bills that are already due for money that's already been spent. 200 00:11:13,360 --> 00:11:15,440 Speaker 1: Why does the market seem to not care about it? Then, 201 00:11:15,440 --> 00:11:18,640 Speaker 1: at this point, because we've been through this before and 202 00:11:18,840 --> 00:11:21,120 Speaker 1: a number of times over the past couple of decades, 203 00:11:21,160 --> 00:11:24,120 Speaker 1: and Congress has always extended the debt ceiling at the 204 00:11:24,240 --> 00:11:27,560 Speaker 1: very last minute. It's a political football. Both sides like 205 00:11:27,679 --> 00:11:31,079 Speaker 1: to attack the other side for being profligant. Uh, they 206 00:11:31,120 --> 00:11:34,040 Speaker 1: only want to spend money when they're in power, and 207 00:11:34,040 --> 00:11:36,080 Speaker 1: when they're not in power, they want to cut back 208 00:11:36,120 --> 00:11:39,240 Speaker 1: on spending because they think it makes them look better politically. 209 00:11:39,240 --> 00:11:41,319 Speaker 1: So that's what's going on. It's just, as you mentioned, 210 00:11:41,320 --> 00:11:44,160 Speaker 1: a political debate, and the market is fairly convinced that 211 00:11:44,240 --> 00:11:47,480 Speaker 1: they will settle this because they always have. And meanwhile, 212 00:11:47,480 --> 00:11:51,880 Speaker 1: on the sidelines, the commentators, as they usually do, say well, gee, 213 00:11:51,880 --> 00:11:54,880 Speaker 1: this time could be different. Well what could be a 214 00:11:54,920 --> 00:11:56,760 Speaker 1: little bit different this time is it's all kind of 215 00:11:56,760 --> 00:12:01,920 Speaker 1: tied in with the fiscal stimulus legislation, the spending plan 216 00:12:02,320 --> 00:12:05,440 Speaker 1: that Congress is also looking at, the taxation plan to 217 00:12:05,480 --> 00:12:08,680 Speaker 1: pay for it. Could this all get tied up? Is 218 00:12:08,679 --> 00:12:11,600 Speaker 1: this something that the market maybe should be more concerned about. Well, 219 00:12:12,240 --> 00:12:14,120 Speaker 1: if if we get to that point, the market will 220 00:12:14,160 --> 00:12:17,440 Speaker 1: suddenly become concerned. It is it is a little more 221 00:12:17,480 --> 00:12:19,440 Speaker 1: problematic this time. There's a little bit of a Rube 222 00:12:19,440 --> 00:12:21,800 Speaker 1: Goldberg effect of how they're going to have to do this. 223 00:12:21,880 --> 00:12:28,199 Speaker 1: Because the Democrats put forth a combined continuing Resolution to 224 00:12:28,240 --> 00:12:31,439 Speaker 1: keep the government funded and debt sailing last night, Republicans 225 00:12:31,440 --> 00:12:33,800 Speaker 1: wouldn't even let them have a vote on it. And 226 00:12:33,920 --> 00:12:37,120 Speaker 1: so now the Democrats have to decide are they going 227 00:12:37,160 --> 00:12:40,080 Speaker 1: to take out the Continuing Resolution and vote on that separately, 228 00:12:40,160 --> 00:12:42,680 Speaker 1: which they probably will, which still leaves the debt limit. 229 00:12:42,760 --> 00:12:45,680 Speaker 1: Republicans still say they will not allow the Democrats to 230 00:12:45,760 --> 00:12:48,920 Speaker 1: vote on extending it, and so the Democrats can put 231 00:12:49,000 --> 00:12:52,400 Speaker 1: it into the Continuing Resolution or rather continue into the 232 00:12:52,440 --> 00:12:56,080 Speaker 1: reconciliation bill that holds the Biden plan. But the problem 233 00:12:56,120 --> 00:12:57,839 Speaker 1: with that is then they need to pass a new 234 00:12:57,880 --> 00:13:00,480 Speaker 1: budget first with that as an instruction, and then they 235 00:13:00,520 --> 00:13:03,079 Speaker 1: need to go through a whole the whole day of 236 00:13:03,120 --> 00:13:05,360 Speaker 1: what they call vote rama, where anybody is allowed to 237 00:13:05,800 --> 00:13:09,319 Speaker 1: offer amendments. And so it will take time for that 238 00:13:09,400 --> 00:13:11,760 Speaker 1: to happen. And I think that's why Janet Yellen put 239 00:13:11,760 --> 00:13:15,160 Speaker 1: a date on at this time, because she's saying, basically, um, guys, 240 00:13:15,200 --> 00:13:17,200 Speaker 1: don't screw around. This is how much if you're gonna 241 00:13:17,240 --> 00:13:19,120 Speaker 1: do this, is how much time you have? Yeah, that's 242 00:13:19,120 --> 00:13:21,520 Speaker 1: all on the fiscal side, Mike on the monetary policy side, 243 00:13:21,559 --> 00:13:24,920 Speaker 1: and those who have the ability to decide monetary policy 244 00:13:25,160 --> 00:13:29,200 Speaker 1: center shared. Brown asked both Yelling and pal about diversity 245 00:13:29,200 --> 00:13:31,040 Speaker 1: on the FED Board of Governors and whether it's time 246 00:13:31,080 --> 00:13:33,719 Speaker 1: to have a black woman and especially in light of 247 00:13:33,760 --> 00:13:36,599 Speaker 1: the resignations of Rose and Grenham Kaplan yesterday in the 248 00:13:36,640 --> 00:13:38,520 Speaker 1: wake of the trading scandal, how could we be looking 249 00:13:38,520 --> 00:13:41,439 Speaker 1: at a different FED going forward. Well, I think you're 250 00:13:41,440 --> 00:13:43,720 Speaker 1: going to see in the search committees for both Dallas 251 00:13:43,760 --> 00:13:46,880 Speaker 1: and Boston a strong effort to find minorities, whether it's 252 00:13:46,920 --> 00:13:50,440 Speaker 1: a black or whether it's a woman, it could be Hispanic, 253 00:13:51,040 --> 00:13:54,240 Speaker 1: uh and Alis in particular would be a sort of 254 00:13:54,280 --> 00:13:57,439 Speaker 1: logical move. So I think you're going to see that, 255 00:13:57,720 --> 00:14:00,559 Speaker 1: and I think the FED Board will try to influence 256 00:14:00,679 --> 00:14:04,240 Speaker 1: that the FED has historically been a refuge of old 257 00:14:04,240 --> 00:14:07,840 Speaker 1: white males, and as was pointed out, there are very 258 00:14:07,880 --> 00:14:11,520 Speaker 1: few black economists at the board. And I think Congress 259 00:14:11,559 --> 00:14:13,480 Speaker 1: is going to continue to keep the pressure on and 260 00:14:13,800 --> 00:14:17,880 Speaker 1: we will see some changes in a historic day yesterday. 261 00:14:17,920 --> 00:14:19,480 Speaker 1: You know it's not every day you see two FED 262 00:14:19,520 --> 00:14:24,760 Speaker 1: presidents step down. Is this going to change the way 263 00:14:24,840 --> 00:14:28,600 Speaker 1: the FED man, you know, it puts people onto the 264 00:14:28,600 --> 00:14:32,880 Speaker 1: board or just or tracts talent. It could. I think 265 00:14:32,920 --> 00:14:34,720 Speaker 1: what you'll see is the FED put in place a 266 00:14:34,800 --> 00:14:38,760 Speaker 1: much more robust set of ethics requirements. Perhaps anybody coming 267 00:14:38,800 --> 00:14:41,840 Speaker 1: in would be required to put their holdings in a 268 00:14:41,880 --> 00:14:46,040 Speaker 1: blind trust something like that, uh, which you know you 269 00:14:46,080 --> 00:14:49,320 Speaker 1: can easily argue should have been done before. What they 270 00:14:49,360 --> 00:14:53,280 Speaker 1: don't want to do is completely keep anybody who's made 271 00:14:53,320 --> 00:14:57,720 Speaker 1: any money off the board, because yes, the board needs diversity, 272 00:14:57,720 --> 00:14:59,720 Speaker 1: but that also means they need some people with market 273 00:14:59,760 --> 00:15:03,040 Speaker 1: ex variants and so uh you know Rob kaplan K 274 00:15:03,160 --> 00:15:05,040 Speaker 1: from Goldvin Sachs, he was one of the strong market 275 00:15:05,080 --> 00:15:08,640 Speaker 1: voices and that's a loss for them at this point. Yea, 276 00:15:08,800 --> 00:15:12,400 Speaker 1: all right. Michael McKee, economics editor for Bloomberg TV and Radio, 277 00:15:12,400 --> 00:15:18,080 Speaker 1: thank you so much for your thoughts. We appreciate that. Well, 278 00:15:18,120 --> 00:15:20,600 Speaker 1: just about twenty minutes ago, Kaylee and I were just 279 00:15:20,640 --> 00:15:23,800 Speaker 1: sitting here chatting, saying, boy, the supply chain, this is 280 00:15:23,840 --> 00:15:26,600 Speaker 1: a big issue, the challenges we're facing on a global scale. 281 00:15:26,640 --> 00:15:28,920 Speaker 1: And uh, I wonder to what extent that they're contributing 282 00:15:28,920 --> 00:15:30,520 Speaker 1: to some of this inflation we're seeing out there and 283 00:15:30,520 --> 00:15:32,880 Speaker 1: I said, we need to get smarter on what's going 284 00:15:32,960 --> 00:15:34,800 Speaker 1: on out there with the ships and the trains and 285 00:15:34,840 --> 00:15:39,040 Speaker 1: the trucks. And luckily we have Bloomberg Intelligence with us, 286 00:15:39,040 --> 00:15:40,880 Speaker 1: and they have the experts on all these industries. At 287 00:15:40,960 --> 00:15:45,200 Speaker 1: lea classical he's the senior transport logistics and shipping analysts, 288 00:15:45,200 --> 00:15:50,000 Speaker 1: one of the most popular analysts these days at Bloomberg Intelligence. Solely, 289 00:15:50,320 --> 00:15:52,800 Speaker 1: I'm looking at map go on my term and I 290 00:15:52,880 --> 00:15:55,320 Speaker 1: see a bunch of cargo ships anchored off the coast 291 00:15:55,320 --> 00:15:57,880 Speaker 1: of Los Angeles. And then even if they get their 292 00:15:57,920 --> 00:16:00,880 Speaker 1: cargo unloaded, then the trucks have to get the containers 293 00:16:00,880 --> 00:16:03,600 Speaker 1: and the railroads have to get the containers. Give us 294 00:16:03,640 --> 00:16:06,520 Speaker 1: an overview of how bad things are out there in 295 00:16:06,600 --> 00:16:10,760 Speaker 1: terms of global shipping, global logistics. UH, and how do 296 00:16:10,800 --> 00:16:15,000 Speaker 1: we get here? The supply chains are truly gummed up? 297 00:16:15,040 --> 00:16:18,720 Speaker 1: And you know the how we got to this point, 298 00:16:19,440 --> 00:16:23,880 Speaker 1: which the shocks to the system have really been unprecedented 299 00:16:24,280 --> 00:16:27,680 Speaker 1: and just one after the other. I mean, obviously economy 300 00:16:27,720 --> 00:16:31,360 Speaker 1: shut down with the pandemic, and then China recovered quicker 301 00:16:31,640 --> 00:16:34,440 Speaker 1: and earlier than the US, and that created a lot 302 00:16:34,480 --> 00:16:38,280 Speaker 1: of imbalances. UH. And the trans specific trade. So there 303 00:16:38,320 --> 00:16:42,720 Speaker 1: were ships coming to the southern California and other points 304 00:16:43,240 --> 00:16:47,160 Speaker 1: unloading um containers, but there were no empty containers to 305 00:16:47,160 --> 00:16:51,720 Speaker 1: bring back, and that created a capacity crunch on the water. 306 00:16:52,200 --> 00:16:55,720 Speaker 1: And also the container liner industry has a long history 307 00:16:55,760 --> 00:16:59,760 Speaker 1: of just being completely irrational players. They got a little 308 00:16:59,800 --> 00:17:02,360 Speaker 1: this a plan during this down cycle and they took 309 00:17:02,400 --> 00:17:05,720 Speaker 1: some ships out uh and they slowly brought them back, 310 00:17:06,400 --> 00:17:10,520 Speaker 1: so that created um also some some choke points uh. 311 00:17:10,520 --> 00:17:12,960 Speaker 1: And then it was like one black swan after the next. 312 00:17:13,040 --> 00:17:16,040 Speaker 1: You know, you had the the the ever given blocking 313 00:17:16,080 --> 00:17:20,040 Speaker 1: this to West Canal. Um. You had, um, you just 314 00:17:20,359 --> 00:17:23,400 Speaker 1: one thing after that, you had the rail industry embraced 315 00:17:23,440 --> 00:17:27,440 Speaker 1: something called precisions scattering railroading, which is really just six 316 00:17:27,480 --> 00:17:31,679 Speaker 1: stigma for the rails, and that impacted service, probably not 317 00:17:31,800 --> 00:17:34,199 Speaker 1: in the best way as well, because they were you know, 318 00:17:34,280 --> 00:17:37,960 Speaker 1: taking assets off of their network and then when demand 319 00:17:38,040 --> 00:17:40,800 Speaker 1: came up, you know, they were slow to bring back 320 00:17:40,800 --> 00:17:43,639 Speaker 1: those assets. UM. You know, you have you have huge 321 00:17:43,720 --> 00:17:46,520 Speaker 1: log jams in Chicago, which has always been a problem 322 00:17:47,000 --> 00:17:50,160 Speaker 1: UM and the rails have been doing what they can 323 00:17:50,680 --> 00:17:53,520 Speaker 1: uh to kind of alleviate those choke points and not 324 00:17:53,560 --> 00:17:56,240 Speaker 1: to just to to to ramble on too long, but 325 00:17:56,400 --> 00:18:00,240 Speaker 1: really it's all about available labor. Um. You know, every 326 00:18:00,280 --> 00:18:04,000 Speaker 1: transportation company is facing a labor shortage. Uh. You know 327 00:18:04,040 --> 00:18:07,400 Speaker 1: your listeners might remember last week when FedEx released their earnings, 328 00:18:07,920 --> 00:18:11,840 Speaker 1: they pointed out about four fifty million dollars of a headwind. Um. 329 00:18:11,880 --> 00:18:14,440 Speaker 1: That's a lot of coin. Uh. And that's just trying 330 00:18:14,480 --> 00:18:17,960 Speaker 1: to find enough people to deliver the packages. And when 331 00:18:17,960 --> 00:18:20,600 Speaker 1: they have holes in their system, you know, it creates 332 00:18:20,600 --> 00:18:23,800 Speaker 1: a much less efficient network for them. So Lee is 333 00:18:23,840 --> 00:18:25,639 Speaker 1: basically what you're telling us here that it is a 334 00:18:25,640 --> 00:18:28,920 Speaker 1: lot easier to create kinks in the supply chain than 335 00:18:28,960 --> 00:18:32,720 Speaker 1: it is to smooth them back out. Yeah, and and 336 00:18:32,720 --> 00:18:35,359 Speaker 1: and and that is a because we're more of you know, 337 00:18:35,480 --> 00:18:39,119 Speaker 1: it's for digital globalization. I mean, we're still a global economy. 338 00:18:39,400 --> 00:18:42,280 Speaker 1: The nikes that you might be wearing are being manufactured 339 00:18:42,280 --> 00:18:45,760 Speaker 1: in Vietnam or in China. And with China's zero tolerance 340 00:18:46,240 --> 00:18:49,920 Speaker 1: towards COVID outbreaks, you know you're seeing them shutting down 341 00:18:50,040 --> 00:18:54,240 Speaker 1: terminals at various ports, very busy ports, and that's creating 342 00:18:54,320 --> 00:18:56,840 Speaker 1: headwinds as well. And then you know when you have 343 00:18:57,040 --> 00:18:59,679 Speaker 1: on the U S side, Um, you know, you just 344 00:18:59,680 --> 00:19:03,040 Speaker 1: don't have enough people to to kind of face that backlog. 345 00:19:03,119 --> 00:19:04,840 Speaker 1: I mean, I read the other day on Bloomberg there 346 00:19:04,880 --> 00:19:07,960 Speaker 1: was something like seventy eight ships waiting outside of l 347 00:19:08,000 --> 00:19:11,480 Speaker 1: A Long Beach. These are unprecedented times, uh, and it's 348 00:19:11,480 --> 00:19:14,439 Speaker 1: gonna take a long time, you know, our call for 349 00:19:14,920 --> 00:19:17,359 Speaker 1: UM rates on at least on the liner side. You know, 350 00:19:17,440 --> 00:19:19,159 Speaker 1: we believe things will get a little better into the 351 00:19:19,240 --> 00:19:22,840 Speaker 1: Chinese New Year, but rates will remain a like at 352 00:19:22,880 --> 00:19:26,359 Speaker 1: these unsustainable levels probably through the first half of the 353 00:19:26,440 --> 00:19:30,680 Speaker 1: year and then kind of moderate uh into the second half. UM. 354 00:19:30,760 --> 00:19:33,200 Speaker 1: And then you have on on the roadside. For trucking 355 00:19:33,200 --> 00:19:36,320 Speaker 1: in North America, the spot rates are up something like 356 00:19:37,119 --> 00:19:41,160 Speaker 1: this year, contractual rates are up double digits. UM. They 357 00:19:41,160 --> 00:19:43,399 Speaker 1: have pricing power because they can't find the people to 358 00:19:43,480 --> 00:19:46,560 Speaker 1: drive the trucks to deliver the stuff. So when you 359 00:19:46,600 --> 00:19:49,639 Speaker 1: talk to these transportation companies, whether the big shipping companies 360 00:19:49,640 --> 00:19:52,200 Speaker 1: are the rails and trucks, is this a supply chain 361 00:19:52,200 --> 00:19:55,240 Speaker 1: problem that's going to go into next year? I mean 362 00:19:55,359 --> 00:19:59,600 Speaker 1: hard stop. Yeah, It's it's gonna be uh an impact. 363 00:19:59,600 --> 00:20:03,399 Speaker 1: I mean I think that it will moderate, you know, um, 364 00:20:03,440 --> 00:20:05,359 Speaker 1: you know, and but that's assuming a lot of things. 365 00:20:05,359 --> 00:20:09,359 Speaker 1: That's assuming not another black Swan event or another you know, 366 00:20:09,840 --> 00:20:14,160 Speaker 1: variant of the coronavirus which could shut down whether it's manufacturing, 367 00:20:14,520 --> 00:20:17,719 Speaker 1: um or or reports. And then you also have right now, 368 00:20:17,760 --> 00:20:19,560 Speaker 1: I mean you have another kind of crazy thing. We're 369 00:20:19,560 --> 00:20:23,440 Speaker 1: talking about China having not enough power, um so they 370 00:20:23,480 --> 00:20:26,680 Speaker 1: have to manage their economy and they might close the manufacturing. 371 00:20:26,760 --> 00:20:29,240 Speaker 1: So you know, if you're expecting you know, some furniture 372 00:20:29,400 --> 00:20:32,959 Speaker 1: from from China, you might have to wait another month. Alright, Lee, 373 00:20:33,000 --> 00:20:35,320 Speaker 1: thanks so much for jumping on with us. Really appreciated. 374 00:20:35,359 --> 00:20:37,680 Speaker 1: This is a global issue. It as a one that's 375 00:20:37,680 --> 00:20:40,840 Speaker 1: been developing since the pandemic began, and it doesn't appear 376 00:20:40,880 --> 00:20:45,240 Speaker 1: to be uh easing anytime soon. Lee Classgow, Senior Transport 377 00:20:45,280 --> 00:20:48,159 Speaker 1: Logistics and Shipping Annals from Bloomberg Intelligence. He joins us 378 00:20:48,200 --> 00:20:51,800 Speaker 1: on the phone from Bloomberg's Princeton office. Uh and Kaylee, 379 00:20:51,880 --> 00:20:54,160 Speaker 1: this is something you know. I'm sure it's earnings coming 380 00:20:54,200 --> 00:20:57,080 Speaker 1: up here. Once again, we're going to have companies probably 381 00:20:57,480 --> 00:21:01,720 Speaker 1: blaming this using as an excuse perhaps for the weather. Right, Yeah, 382 00:21:01,800 --> 00:21:03,760 Speaker 1: but I think we're going to see some serious margin 383 00:21:03,800 --> 00:21:07,040 Speaker 1: pressures coming in, which is to be expected that profit 384 00:21:07,080 --> 00:21:09,760 Speaker 1: margins would contract. It's what a lot of analysts, strategists 385 00:21:09,760 --> 00:21:12,359 Speaker 1: are expecting. But when you talk about those higher input costs, 386 00:21:12,400 --> 00:21:15,920 Speaker 1: higher freight costs, higher labor costs, all that is cost 387 00:21:16,080 --> 00:21:18,320 Speaker 1: and is it transit where That's going to be the 388 00:21:18,440 --> 00:21:21,680 Speaker 1: big question. Thanks for listening to the Bloomberg Markets podcast. 389 00:21:22,040 --> 00:21:25,280 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 390 00:21:25,400 --> 00:21:29,280 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 391 00:21:29,320 --> 00:21:33,520 Speaker 1: on Twitter at Matt Miller. Put on false Sweeney. I'm 392 00:21:33,520 --> 00:21:36,159 Speaker 1: on Twitter at pt Sweeney before the podcast. You can 393 00:21:36,200 --> 00:21:38,440 Speaker 1: always catch us worldwide at Bloomberg Radio