1 00:00:05,120 --> 00:00:09,200 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane. Along 2 00:00:09,240 --> 00:00:13,080 Speaker 1: with Jonathan Ferrell and Lisa Brownwitz Jay Ley, we bring 3 00:00:13,119 --> 00:00:17,159 Speaker 1: you insight from the best and economics, finance, investment, and 4 00:00:17,280 --> 00:00:23,280 Speaker 1: international relations. Find Bloomberg Surveillance on Apple Podcast, Suncloud, Bloomberg 5 00:00:23,360 --> 00:00:29,920 Speaker 1: dot com, and of course on the Bloomberg Terminal. The 6 00:00:30,080 --> 00:00:34,040 Speaker 1: grand experiment John at Goldman Sachs many many years ago 7 00:00:34,600 --> 00:00:38,480 Speaker 1: was to say, Abbey, Joseph, Abbey, Joseph Cohen, we can 8 00:00:38,560 --> 00:00:40,479 Speaker 1: hire her and she can make a name of it. 9 00:00:40,560 --> 00:00:45,600 Speaker 1: On Women's International International Women's Day, It's very important that 10 00:00:45,720 --> 00:00:48,200 Speaker 1: we speak and get the current thoughts of Abbe Joseph 11 00:00:48,280 --> 00:00:53,760 Speaker 1: Cohen of Goldman Sachs advisory director and their senior investment strategist. Abby, 12 00:00:53,840 --> 00:00:57,240 Speaker 1: you have seen this too many times before, the angst 13 00:00:57,440 --> 00:01:01,680 Speaker 1: of the ambiguity up we go almost the fear of 14 00:01:01,800 --> 00:01:07,360 Speaker 1: economic and GDP success. How do equities react when you 15 00:01:07,400 --> 00:01:12,600 Speaker 1: get a surge in g d P as we anticipate. Well, Tom, 16 00:01:12,720 --> 00:01:15,240 Speaker 1: first of all, thank you very much for including me 17 00:01:15,880 --> 00:01:19,480 Speaker 1: today in the discussion. Uh. It is an important day 18 00:01:19,480 --> 00:01:23,200 Speaker 1: in an important week for women. Um. You are asking 19 00:01:23,360 --> 00:01:26,880 Speaker 1: exactly the right question about the markets uh. And that 20 00:01:27,080 --> 00:01:30,800 Speaker 1: is this um is it good news or bad news 21 00:01:30,840 --> 00:01:34,080 Speaker 1: for the economy to be recovering, And I would say 22 00:01:34,240 --> 00:01:38,160 Speaker 1: it is good news. Now. We are seeing, of course, 23 00:01:38,200 --> 00:01:43,040 Speaker 1: this very significant rotation in terms of views. Those stocks 24 00:01:43,080 --> 00:01:47,520 Speaker 1: that have performed extremely well only because interest rates were 25 00:01:47,560 --> 00:01:51,760 Speaker 1: down uh and low may have a problem, but there 26 00:01:51,760 --> 00:01:55,800 Speaker 1: are plenty of other opportunities in the equity market as 27 00:01:55,880 --> 00:01:58,960 Speaker 1: we do see a rotation towards those stocks that do 28 00:01:59,080 --> 00:02:02,160 Speaker 1: better when we feel work comfortable with the pace of 29 00:02:02,200 --> 00:02:06,160 Speaker 1: economic recovery and hopefully over the next couple of years 30 00:02:06,440 --> 00:02:10,400 Speaker 1: true economic expansion. UH. These of course include the small 31 00:02:10,440 --> 00:02:13,920 Speaker 1: cap names, also the value names where there's been this 32 00:02:14,000 --> 00:02:17,600 Speaker 1: wide gap in things like pe ratios and so on. 33 00:02:18,120 --> 00:02:22,000 Speaker 1: We're also seeing an improvement in stocks that are great sensitive. 34 00:02:22,040 --> 00:02:25,320 Speaker 1: There are some security some companies that do better when 35 00:02:25,360 --> 00:02:28,120 Speaker 1: interest rates are a little bit higher, and we of 36 00:02:28,160 --> 00:02:32,720 Speaker 1: course are seeing some movement now in those seens that 37 00:02:32,760 --> 00:02:35,640 Speaker 1: do better when we come out of lockdown. And the 38 00:02:35,680 --> 00:02:39,640 Speaker 1: good news on the vaccine UH will I think be helpful. 39 00:02:39,680 --> 00:02:43,720 Speaker 1: And of course those areas include things like restaurants and accommodation. 40 00:02:43,880 --> 00:02:46,160 Speaker 1: I mean, I'm not going to mince words. Goldman Sachs 41 00:02:46,160 --> 00:02:48,760 Speaker 1: has been out front on a bull call. Constant has 42 00:02:48,840 --> 00:02:52,600 Speaker 1: led the way to sp xtree. What does the gloom 43 00:02:52,639 --> 00:02:58,040 Speaker 1: crew get wrong? Well, the the argument behind this really 44 00:02:58,200 --> 00:03:02,920 Speaker 1: great outlook from from David is also based upon the 45 00:03:03,560 --> 00:03:07,280 Speaker 1: above consensus for you from Jon hot Sis, our chief economist, 46 00:03:07,600 --> 00:03:10,359 Speaker 1: who believes that this year the US will see g 47 00:03:10,560 --> 00:03:14,080 Speaker 1: d P of close to seven percent, and it's even 48 00:03:14,160 --> 00:03:17,880 Speaker 1: better fourth quarter over fourth quarter, basically about seven point 49 00:03:18,000 --> 00:03:21,520 Speaker 1: seven percent. And that's based upon let's say four factors. 50 00:03:21,960 --> 00:03:26,480 Speaker 1: Number one, this very robust fiscal package. Number two, the 51 00:03:26,520 --> 00:03:31,720 Speaker 1: Fed staying basically friendly, UH. Number three, UH, the virus 52 00:03:31,760 --> 00:03:36,040 Speaker 1: to press sectors beginning to rebound. And also let's remember 53 00:03:36,120 --> 00:03:39,200 Speaker 1: that there's an awful lot of pent up savings in 54 00:03:39,240 --> 00:03:43,520 Speaker 1: the economy. UH, the average consumer balance sheet and again 55 00:03:43,560 --> 00:03:46,280 Speaker 1: I'm looking at the media and there are many exceptions, 56 00:03:46,600 --> 00:03:51,280 Speaker 1: but the average exactly actually looking good. Debt balances are down, 57 00:03:51,440 --> 00:03:54,160 Speaker 1: savings are up. And when people feel a little bit 58 00:03:54,200 --> 00:03:57,640 Speaker 1: better about the outlook, UH, they'll start to to move 59 00:03:57,720 --> 00:04:00,880 Speaker 1: forward um and and start set think. And that's great 60 00:04:00,960 --> 00:04:03,880 Speaker 1: for the economy. But you asked about the gloom crowd, 61 00:04:04,320 --> 00:04:06,720 Speaker 1: and I think with the gloom crowd keeps coming back 62 00:04:06,760 --> 00:04:10,080 Speaker 1: to is that there could be an uptick in inflation. 63 00:04:10,640 --> 00:04:14,880 Speaker 1: Wouldn't be surprising. That's built into Yahn's forecast as well. 64 00:04:15,560 --> 00:04:19,040 Speaker 1: But let's look at inflation as being a function of 65 00:04:19,040 --> 00:04:21,960 Speaker 1: two different things. Number One, there are some special factors 66 00:04:22,240 --> 00:04:25,640 Speaker 1: happening this year. Maybe it's the energy prices and so on. 67 00:04:26,160 --> 00:04:30,400 Speaker 1: And there's also, of course that quick rebound um in 68 00:04:30,520 --> 00:04:33,839 Speaker 1: prices from the very depressed levels that we saw in 69 00:04:33,920 --> 00:04:38,680 Speaker 1: some sectors. But the second important reason that inflation may 70 00:04:38,720 --> 00:04:41,880 Speaker 1: move up a little bit um is that we are 71 00:04:41,920 --> 00:04:45,080 Speaker 1: seeing an improved economy, and I think that's great news. 72 00:04:45,080 --> 00:04:47,520 Speaker 1: You know, it's the opposite side of the coin. On 73 00:04:47,520 --> 00:04:50,320 Speaker 1: one side, the economy is doing better. On the other side, 74 00:04:50,600 --> 00:04:54,360 Speaker 1: prices are not quite so depressed. The Goldman Sax forecast 75 00:04:54,440 --> 00:04:57,280 Speaker 1: on cp I does show it moving up from about 76 00:04:57,320 --> 00:05:00,480 Speaker 1: a one point one last year to two point five 77 00:05:00,560 --> 00:05:07,360 Speaker 1: this year. But we're looking at CPI that by historical levels, 78 00:05:07,400 --> 00:05:10,880 Speaker 1: that is not a problematic level for inflation, and by 79 00:05:10,920 --> 00:05:13,839 Speaker 1: the way, that is the FEDS target level for inflation. 80 00:05:14,120 --> 00:05:17,080 Speaker 1: About I think you've seen it all, and many people 81 00:05:17,120 --> 00:05:19,120 Speaker 1: come on this program and they try and look to 82 00:05:19,240 --> 00:05:21,599 Speaker 1: history to find a parallel with the moment we're in 83 00:05:21,680 --> 00:05:25,240 Speaker 1: right now. How original is this moment and what makes 84 00:05:25,240 --> 00:05:28,200 Speaker 1: it unique? That's a great question. And I think what 85 00:05:28,360 --> 00:05:32,599 Speaker 1: makes it unique is that none of us, regardless of 86 00:05:32,640 --> 00:05:35,520 Speaker 1: how long we've been in the markets, have seen a 87 00:05:35,560 --> 00:05:41,880 Speaker 1: pandemic inspired recession, UM bear market, and now of course 88 00:05:42,040 --> 00:05:46,960 Speaker 1: the recovery. And what pleases us in terms of what 89 00:05:47,080 --> 00:05:51,600 Speaker 1: might happen is that we are seeing policies that are 90 00:05:51,640 --> 00:05:56,000 Speaker 1: aimed at providing relief. So we've had a friendly federal 91 00:05:56,040 --> 00:05:59,080 Speaker 1: Reserve and other central banks are doing what they can 92 00:05:59,160 --> 00:06:01,800 Speaker 1: as well. And now, of course we have this very 93 00:06:01,839 --> 00:06:06,680 Speaker 1: meaningful relief package coming in the form of fiscal policy. 94 00:06:07,120 --> 00:06:10,960 Speaker 1: And I think it's important not to categorize this totally 95 00:06:11,040 --> 00:06:14,480 Speaker 1: is a stimulus package, because it's not. It's a relief 96 00:06:14,520 --> 00:06:17,800 Speaker 1: package aimed at getting us out of the hole. And 97 00:06:17,960 --> 00:06:21,039 Speaker 1: the next important thing to be watching is what the 98 00:06:21,120 --> 00:06:26,080 Speaker 1: Congress can pass and the President can sign with regard 99 00:06:26,160 --> 00:06:30,719 Speaker 1: to really moving us forward UM, and that would include UM, 100 00:06:30,760 --> 00:06:35,840 Speaker 1: you know, things like the infrastructure reform, things like addressing 101 00:06:35,920 --> 00:06:38,960 Speaker 1: some of the big issues in the labor markets, UM 102 00:06:39,120 --> 00:06:43,559 Speaker 1: and UH. There are some underlying problems that really must 103 00:06:43,600 --> 00:06:46,640 Speaker 1: meet must be addressed, and are not quite addressed yet, 104 00:06:47,120 --> 00:06:49,839 Speaker 1: even in this very large package that we expect to 105 00:06:49,880 --> 00:06:53,039 Speaker 1: be assigned into law later this week. I mean, that's 106 00:06:53,120 --> 00:06:55,880 Speaker 1: on the fundamental side, or it's become the fundamentals in 107 00:06:55,960 --> 00:06:59,320 Speaker 1: terms of fiscal support. There's also a question on the 108 00:06:59,320 --> 00:07:02,440 Speaker 1: technical side what that means in markets we've seen coming 109 00:07:02,480 --> 00:07:05,000 Speaker 1: into this year. This year is different also because the 110 00:07:05,040 --> 00:07:07,960 Speaker 1: global reflation trade trade has not come along with a 111 00:07:07,960 --> 00:07:11,000 Speaker 1: weeker dollar. In fact, the dollar is stronger against every 112 00:07:11,040 --> 00:07:15,080 Speaker 1: single emerging markets currency major one out there a year 113 00:07:15,120 --> 00:07:17,120 Speaker 1: a year to date, and we're looking today at the 114 00:07:17,120 --> 00:07:19,280 Speaker 1: biggest cell off of the ms c I Emerging Market 115 00:07:19,280 --> 00:07:22,400 Speaker 1: Currency Index versus the dollar going back to last March. 116 00:07:22,640 --> 00:07:25,160 Speaker 1: How does that alter your views going forward or do 117 00:07:25,200 --> 00:07:27,880 Speaker 1: you think that this is the indication of a different 118 00:07:27,880 --> 00:07:30,720 Speaker 1: regime where the dollar can strength and yields can rise 119 00:07:31,120 --> 00:07:32,840 Speaker 1: and that doesn't come along with the rest of the 120 00:07:32,880 --> 00:07:35,520 Speaker 1: rest of the world improving at the same pace. Yea, 121 00:07:36,000 --> 00:07:39,840 Speaker 1: So let's let's step back for just a moment um. 122 00:07:39,840 --> 00:07:43,480 Speaker 1: When we do currency forecast, obviously we're looking at all 123 00:07:43,520 --> 00:07:47,560 Speaker 1: the same factors that other people are, but one factor 124 00:07:47,640 --> 00:07:51,120 Speaker 1: really has dominated since the beginning of the pandemic, and 125 00:07:51,200 --> 00:07:54,239 Speaker 1: that is the safe haven nature of the US dollar 126 00:07:54,880 --> 00:07:58,560 Speaker 1: as the world's reserve currency UM, and if anything, that 127 00:07:58,600 --> 00:08:02,760 Speaker 1: has been somewhat in anst UM over the recent past, 128 00:08:03,160 --> 00:08:07,000 Speaker 1: in part because the United States UM has been able 129 00:08:07,040 --> 00:08:10,680 Speaker 1: to take somewhat more aggressive measures than other nations in 130 00:08:11,120 --> 00:08:14,480 Speaker 1: coming out and we also are now looking a little 131 00:08:14,520 --> 00:08:16,960 Speaker 1: bit better in terms of vaccination rate and so on. 132 00:08:17,600 --> 00:08:22,160 Speaker 1: What happens going forward in will be a function not 133 00:08:22,280 --> 00:08:25,280 Speaker 1: just of US, but it's two of all currencies. What 134 00:08:25,440 --> 00:08:29,560 Speaker 1: happens to other nations UM. So far we have seen 135 00:08:30,280 --> 00:08:33,880 Speaker 1: some disappointment with regard to some of the emerging economies. 136 00:08:34,480 --> 00:08:37,080 Speaker 1: But one thing we should all be watching is whether 137 00:08:37,480 --> 00:08:41,679 Speaker 1: an improved tone in US economic activity will help bring 138 00:08:41,760 --> 00:08:45,560 Speaker 1: our trading partners along with US. And that certainly would 139 00:08:45,600 --> 00:08:48,080 Speaker 1: be a good new scenario. You know, John, you mentioned 140 00:08:48,080 --> 00:08:50,360 Speaker 1: that last week. I mean one final question, if we 141 00:08:50,480 --> 00:08:52,960 Speaker 1: can on this day as we look to women like 142 00:08:53,040 --> 00:08:55,160 Speaker 1: you that were out front. You know this and I 143 00:08:55,200 --> 00:08:59,160 Speaker 1: know this from the CFA Institute that securities research lead 144 00:08:59,200 --> 00:09:02,840 Speaker 1: the way, whether we're Abby Joseph Cohen, Luis Humata, what 145 00:09:02,960 --> 00:09:07,280 Speaker 1: Sally Crocheck did at Bernstein, and the wonderful Alice bb Longley, 146 00:09:07,320 --> 00:09:10,520 Speaker 1: who I read religiously years ago. I believe it at 147 00:09:10,640 --> 00:09:14,560 Speaker 1: d l J. How do we impart what securities research 148 00:09:14,679 --> 00:09:21,200 Speaker 1: did with women over to other parts of the financial industry, Tom, 149 00:09:21,280 --> 00:09:26,160 Speaker 1: It's a vexing question. What we basically see in financial 150 00:09:26,240 --> 00:09:30,320 Speaker 1: services and some other industries as well, is that there 151 00:09:30,360 --> 00:09:33,559 Speaker 1: may be a large number of women coming in at 152 00:09:33,559 --> 00:09:36,560 Speaker 1: the bottom end of that pyramid, and we all have 153 00:09:36,679 --> 00:09:39,480 Speaker 1: to do better, not just in financial services but other 154 00:09:39,600 --> 00:09:44,000 Speaker 1: industries in enhancing that pipeline. So, for example, we do 155 00:09:44,120 --> 00:09:48,120 Speaker 1: see that women are well represented in the number of industries, 156 00:09:48,720 --> 00:09:51,360 Speaker 1: but as you move up, say to the VP level 157 00:09:51,520 --> 00:09:55,440 Speaker 1: or the empty level, that's where we see uh flattening out. 158 00:09:55,760 --> 00:09:58,600 Speaker 1: And by the way, while we can point to problems 159 00:09:58,679 --> 00:10:01,840 Speaker 1: here in the US, it's worse in most other countries. 160 00:10:02,440 --> 00:10:06,480 Speaker 1: Um and and so they're looking to us interestingly to 161 00:10:06,520 --> 00:10:09,520 Speaker 1: get things better. But let me spend just one more moment, 162 00:10:09,600 --> 00:10:12,520 Speaker 1: you know, we we tend to think about these professional 163 00:10:12,640 --> 00:10:16,200 Speaker 1: white collar jobs. The real problem for many women in 164 00:10:17,640 --> 00:10:20,800 Speaker 1: this has not been a good year for women who 165 00:10:20,800 --> 00:10:24,160 Speaker 1: are really on the front line, those who are heavily 166 00:10:24,200 --> 00:10:29,240 Speaker 1: represented in some of those virus afflicted sectors, including restaurants 167 00:10:29,240 --> 00:10:33,280 Speaker 1: and accommodation, but also in state and local governments where 168 00:10:33,320 --> 00:10:37,640 Speaker 1: women tend to be overrepresented by numbers in physitions like 169 00:10:37,800 --> 00:10:41,520 Speaker 1: teachers and social workers. And over the last year, state 170 00:10:41,559 --> 00:10:45,680 Speaker 1: and local governments have in fact reduced jobs by something 171 00:10:45,720 --> 00:10:50,480 Speaker 1: like nine hundred thousand, and that affects women much more dramatically. 172 00:10:50,880 --> 00:10:54,000 Speaker 1: The labor force rate for women now is much lower 173 00:10:54,000 --> 00:10:57,080 Speaker 1: than for men. If you look at adults, it's about 174 00:10:57,960 --> 00:11:02,960 Speaker 1: participation for men, it's only for women, and this has 175 00:11:03,040 --> 00:11:07,080 Speaker 1: long term consequences in terms of potential scarring of the 176 00:11:07,160 --> 00:11:10,880 Speaker 1: labor force, especially for women. I'll be really important issues 177 00:11:11,120 --> 00:11:12,920 Speaker 1: and we appreciate your time coming on this probably around 178 00:11:12,920 --> 00:11:15,160 Speaker 1: this morning to share them. Abbe Joseph coming that of 179 00:11:15,240 --> 00:11:24,160 Speaker 1: Gellman sax An International Women's Day. We have been flattered 180 00:11:24,200 --> 00:11:27,800 Speaker 1: by how our team has gotten us some important voices. 181 00:11:27,840 --> 00:11:31,840 Speaker 1: Abby Joseph Cohen on the Marcus Elizabeth economy in China 182 00:11:32,320 --> 00:11:36,199 Speaker 1: and now Deborah Fuller from the number one microbiology platform 183 00:11:36,240 --> 00:11:39,720 Speaker 1: in America that is all known as a University of 184 00:11:39,760 --> 00:11:43,360 Speaker 1: Washington and their School of Medicine and Microbiology, where she 185 00:11:43,480 --> 00:11:47,280 Speaker 1: provides important research leadership. Were thrilled she could bring us 186 00:11:47,360 --> 00:11:50,120 Speaker 1: up to date on the pandemic. Deborah Fuller, there's so 187 00:11:50,120 --> 00:11:53,040 Speaker 1: many looking at the clear and present. You and your 188 00:11:53,160 --> 00:11:56,360 Speaker 1: leadership at Washington are trying to figure out where we'll 189 00:11:56,400 --> 00:11:59,600 Speaker 1: be on COVID two years from now, five years from now, 190 00:12:00,000 --> 00:12:03,240 Speaker 1: and even indeed out the two thousand thirty one. How 191 00:12:03,280 --> 00:12:06,679 Speaker 1: do we prepare for the next virus? Right? So, right 192 00:12:06,760 --> 00:12:09,680 Speaker 1: now we uh, we're doing great against the current viruses, 193 00:12:09,720 --> 00:12:13,360 Speaker 1: but as we can see that, we're constantly battling new 194 00:12:13,440 --> 00:12:17,080 Speaker 1: variants that are coming out Already the manufacturers Jane J. 195 00:12:17,280 --> 00:12:21,040 Speaker 1: Mcdonna Viiser, they're updating their vaccines to combat the next 196 00:12:21,080 --> 00:12:23,200 Speaker 1: one to come. And so we're we're gonna enter in 197 00:12:23,200 --> 00:12:26,200 Speaker 1: the cycle that would be similar to two flu, where 198 00:12:26,240 --> 00:12:28,640 Speaker 1: we're just going to have to constantly get another update 199 00:12:28,720 --> 00:12:31,400 Speaker 1: and and always lingering in the background would be uh, 200 00:12:31,520 --> 00:12:33,920 Speaker 1: the potential that a new variant could emerge, It could 201 00:12:33,920 --> 00:12:36,960 Speaker 1: cause yet another pandemic. That's the case for flu, and 202 00:12:37,000 --> 00:12:39,839 Speaker 1: that's the case for coronaviruses. So what we're working on 203 00:12:40,000 --> 00:12:44,760 Speaker 1: is really thinking about the future, is really about developing 204 00:12:44,880 --> 00:12:48,480 Speaker 1: what we would call hand coronavirus vaccine, one that would 205 00:12:48,520 --> 00:12:51,960 Speaker 1: be able to induce immune responses against parts of the 206 00:12:52,040 --> 00:12:55,600 Speaker 1: virus that are very conserved and and allow us to 207 00:12:55,679 --> 00:12:59,000 Speaker 1: have immunity against not just the current variants, but future 208 00:12:59,040 --> 00:13:02,240 Speaker 1: variants to come in and provide us protection against the 209 00:13:02,280 --> 00:13:06,120 Speaker 1: future pandemics. Are we constrained because we don't have an 210 00:13:06,120 --> 00:13:11,120 Speaker 1: efficacious vaccine that can go worldwide and particularly to worldwide 211 00:13:11,160 --> 00:13:15,120 Speaker 1: impoverished areas that we don't need the refrigeration or the 212 00:13:15,200 --> 00:13:19,040 Speaker 1: fanciness of m RNA vaccines. Do we need to get 213 00:13:19,080 --> 00:13:23,439 Speaker 1: to a basic vaccine? Absolutely. I have always said that 214 00:13:23,480 --> 00:13:26,400 Speaker 1: the ideal pandemic vaccine is one that could be UH 215 00:13:26,880 --> 00:13:30,280 Speaker 1: stored at room temperature and administered in a single shot 216 00:13:30,320 --> 00:13:33,560 Speaker 1: and ideally self administered. That is really the way to 217 00:13:34,720 --> 00:13:39,400 Speaker 1: effectively and rapidly distribute and get a vaccine quickly worldwide, 218 00:13:39,440 --> 00:13:43,160 Speaker 1: in into core as well as wealthy countries. That's another 219 00:13:43,200 --> 00:13:45,680 Speaker 1: area that we're working on. We're working on a room 220 00:13:45,679 --> 00:13:50,040 Speaker 1: temperature stable UH nucleic acid vaccine that's actually based on 221 00:13:50,160 --> 00:13:53,200 Speaker 1: DNA rather than RNA, because that's much more stable and 222 00:13:53,280 --> 00:13:56,160 Speaker 1: when that can be self administered without a need on syringe. 223 00:13:56,360 --> 00:13:58,320 Speaker 1: It's about to say self administered with a needle might 224 00:13:58,400 --> 00:14:00,880 Speaker 1: be a different proposition, DOT or full or perhaps people 225 00:14:00,880 --> 00:14:03,800 Speaker 1: wouldn't be that excited about that. There is There is 226 00:14:03,800 --> 00:14:06,120 Speaker 1: a question though, whether the mr and A technology is 227 00:14:06,200 --> 00:14:09,440 Speaker 1: shortened the time from the discovery of how to combat 228 00:14:09,520 --> 00:14:12,360 Speaker 1: a new strain of either coronavirus or some other virus 229 00:14:12,720 --> 00:14:16,360 Speaker 1: to actually getting vaccines rolled out into people's arms. How 230 00:14:16,440 --> 00:14:21,000 Speaker 1: much have we shortened the vaccine rollout? Oh substantially? With 231 00:14:21,320 --> 00:14:23,840 Speaker 1: the RNA vaccines as well as the new viral vector 232 00:14:23,920 --> 00:14:27,920 Speaker 1: vaccines that Jane j is developing, enables really rapid update 233 00:14:27,960 --> 00:14:31,080 Speaker 1: because you only need the sequence of whatever variant is 234 00:14:31,160 --> 00:14:36,000 Speaker 1: emerging to Traditionally, vaccines would take eight nine months to update. 235 00:14:36,200 --> 00:14:39,680 Speaker 1: With these new technologies, we're looking at eight nine weeks 236 00:14:39,760 --> 00:14:41,400 Speaker 1: to be able to update and then roll out a 237 00:14:41,440 --> 00:14:45,200 Speaker 1: new version. Dr Fuller, How different are these vaccines from 238 00:14:45,200 --> 00:14:47,680 Speaker 1: one another? Base of this idea that a lot of 239 00:14:47,680 --> 00:14:50,600 Speaker 1: officials are trying to prevent people from vaccine shopping, and 240 00:14:50,680 --> 00:14:55,280 Speaker 1: yet there have been different efficacy rates, right they The 241 00:14:55,320 --> 00:14:58,480 Speaker 1: efficacy rates are really based on the fact that the 242 00:14:59,160 --> 00:15:02,920 Speaker 1: vaccines were at really different times. The Madonna Advisor m 243 00:15:03,000 --> 00:15:05,960 Speaker 1: RNA vaccines were tested when the first variants emerged, and 244 00:15:06,280 --> 00:15:10,120 Speaker 1: these vaccines, all three vaccines, were designed to combat that 245 00:15:10,160 --> 00:15:15,000 Speaker 1: initial variant. So so the the RNA vaccines were actually 246 00:15:15,240 --> 00:15:18,680 Speaker 1: the world variant with stacked in favor of making those 247 00:15:18,720 --> 00:15:21,480 Speaker 1: look actually better because when you have a vaccine that 248 00:15:21,560 --> 00:15:24,160 Speaker 1: is a better match to the current variant, you're going 249 00:15:24,200 --> 00:15:26,600 Speaker 1: to get better efficacy. So J and J by the 250 00:15:26,640 --> 00:15:29,400 Speaker 1: time they got to their clinical trial, the variants had emerged, 251 00:15:29,440 --> 00:15:32,520 Speaker 1: and so the differences I think in efficacy really can't 252 00:15:32,560 --> 00:15:35,600 Speaker 1: interpret that to mean that to one vaccine is better 253 00:15:35,680 --> 00:15:38,040 Speaker 1: than the other. What's really important is if you look 254 00:15:38,080 --> 00:15:41,160 Speaker 1: at real lot, real world impact, what we're seeing is 255 00:15:41,200 --> 00:15:44,160 Speaker 1: all three of these vaccines have a profound impact and 256 00:15:44,240 --> 00:15:48,600 Speaker 1: protecting against severe disease and death. I mean we're closed 257 00:15:48,600 --> 00:15:53,040 Speaker 1: to protection from death. And that's really what's important. That's 258 00:15:53,040 --> 00:15:55,440 Speaker 1: what we're after with vaccines is to get it to 259 00:15:55,480 --> 00:15:57,720 Speaker 1: a point where we don't have to be afraid of 260 00:15:57,800 --> 00:16:00,440 Speaker 1: the high mortality rate of this virus. To that point, 261 00:16:00,440 --> 00:16:02,600 Speaker 1: it's very close. Don't thanks few times today, don't to 262 00:16:02,680 --> 00:16:04,760 Speaker 1: Debora full of that, the University of Washington School of 263 00:16:04,760 --> 00:16:14,160 Speaker 1: Medicine professor. There is a point, is Liz Goldenberg lectured 264 00:16:14,200 --> 00:16:17,080 Speaker 1: me years ago, where you switch from yield to a 265 00:16:17,160 --> 00:16:21,400 Speaker 1: price analysis. Cathy Jones at Schwab Center for Financial Research, 266 00:16:21,440 --> 00:16:24,040 Speaker 1: and knows this very well. She watches the flows of 267 00:16:24,080 --> 00:16:26,920 Speaker 1: what people are doing with their money. And Cathy, I 268 00:16:27,040 --> 00:16:29,800 Speaker 1: calculate from the end of August, I have a tenure 269 00:16:29,880 --> 00:16:33,360 Speaker 1: yield down a good amount in price, eight point three 270 00:16:33,400 --> 00:16:36,560 Speaker 1: percent down in price. Are we heading for a bond 271 00:16:36,760 --> 00:16:40,400 Speaker 1: bear market? You know? I think we could be over 272 00:16:40,440 --> 00:16:43,960 Speaker 1: the long run. I certainly think that the lows that 273 00:16:44,000 --> 00:16:47,640 Speaker 1: we've put in UH, those very very low yields around 274 00:16:47,640 --> 00:16:50,280 Speaker 1: half of one percent on the ten year or I 275 00:16:50,400 --> 00:16:53,000 Speaker 1: think a third of one percent of the tenure UH 276 00:16:53,160 --> 00:16:57,080 Speaker 1: is probably the low for a long time. But bear 277 00:16:57,200 --> 00:17:00,880 Speaker 1: market is you know, price over time or yield over time. 278 00:17:01,040 --> 00:17:04,000 Speaker 1: So we're looking out two to five years down the read. Yeah, 279 00:17:04,040 --> 00:17:06,240 Speaker 1: I think that yields continue to go higher as long 280 00:17:06,280 --> 00:17:11,600 Speaker 1: as the economy does recover from the COVID COVID nineteen crisis, 281 00:17:11,680 --> 00:17:14,879 Speaker 1: as it continues to do. But the magnitude of the 282 00:17:14,960 --> 00:17:19,400 Speaker 1: move from here is not likely to be nearly as 283 00:17:19,520 --> 00:17:22,359 Speaker 1: fast or as great I think in the next leg 284 00:17:22,760 --> 00:17:25,960 Speaker 1: as it has been from that previous flow. Kathy, we 285 00:17:25,960 --> 00:17:28,080 Speaker 1: discussed so many times about how self limiting a move 286 00:17:28,160 --> 00:17:29,600 Speaker 1: high would be because of the amount of debt that 287 00:17:29,640 --> 00:17:32,040 Speaker 1: we've added to this economy. I remember in and around 288 00:17:32,080 --> 00:17:35,639 Speaker 1: one percent talking about one maybe it was maybe it 289 00:17:35,680 --> 00:17:38,399 Speaker 1: was one fifty, one sixty Right now, where is it 290 00:17:38,440 --> 00:17:42,240 Speaker 1: in your mind? Well, you know, one sixty was our 291 00:17:42,280 --> 00:17:44,720 Speaker 1: target coming into the year, and now that we're here, 292 00:17:44,760 --> 00:17:46,639 Speaker 1: we do start to see a little bit of that 293 00:17:46,720 --> 00:17:51,080 Speaker 1: pushback from the risk markets and risk assets. But certainly 294 00:17:51,160 --> 00:17:53,800 Speaker 1: yields are not so high that we're going to see 295 00:17:53,800 --> 00:17:58,000 Speaker 1: a huge economic deterioration from here unless unless we start 296 00:17:58,080 --> 00:18:00,560 Speaker 1: to see credit spread blow out or something like that. 297 00:18:00,840 --> 00:18:04,639 Speaker 1: You know, you push up towards positive real rate and 298 00:18:04,720 --> 00:18:08,720 Speaker 1: the two percent plus area, and then we're probably going 299 00:18:08,760 --> 00:18:12,040 Speaker 1: to see a negative feedback loop work its way through. 300 00:18:12,119 --> 00:18:14,720 Speaker 1: You know, you have a lot of companies, the smaller, 301 00:18:15,440 --> 00:18:19,640 Speaker 1: low rated, unrated companies, the zombie companies that have been 302 00:18:19,760 --> 00:18:22,879 Speaker 1: rolling over debt for a long time. Their ability to 303 00:18:22,920 --> 00:18:25,560 Speaker 1: continue to do that if rates push up another forty 304 00:18:25,560 --> 00:18:28,840 Speaker 1: fifty basis points is going to be challenged. Wait, that's important. 305 00:18:29,000 --> 00:18:31,640 Speaker 1: Another forty fifty basis points. That's all it would take 306 00:18:31,800 --> 00:18:34,160 Speaker 1: for some of these companies to face true financing pressures. 307 00:18:34,200 --> 00:18:37,800 Speaker 1: You're talking about in the high yield space in particular, Yeah, 308 00:18:38,040 --> 00:18:41,600 Speaker 1: we just did an analysis of some of the zombie companies. 309 00:18:41,720 --> 00:18:44,760 Speaker 1: That's hard to get really good data, but a lot 310 00:18:44,760 --> 00:18:48,280 Speaker 1: of have been really living on fumes. And so you know, 311 00:18:48,320 --> 00:18:51,080 Speaker 1: if you if you look at the private debt area, 312 00:18:51,200 --> 00:18:55,199 Speaker 1: the really low rated UM bonds, they're going to be 313 00:18:55,320 --> 00:18:59,920 Speaker 1: challenged unless unless the conditions changed in terms of revenue. 314 00:19:00,000 --> 00:19:02,000 Speaker 1: Well from here, the reason why this is such an 315 00:19:02,040 --> 00:19:04,320 Speaker 1: important point, Cathy, is because people have come on this 316 00:19:04,359 --> 00:19:06,600 Speaker 1: show and others and said that the real rate risk 317 00:19:06,760 --> 00:19:10,119 Speaker 1: is for rates increasing, right, is duration and not credit 318 00:19:10,160 --> 00:19:12,679 Speaker 1: because credit looks good given the backdrop that we have 319 00:19:12,760 --> 00:19:15,239 Speaker 1: in the easy financing conditions. Are you saying that that 320 00:19:15,359 --> 00:19:18,119 Speaker 1: story is changing, that credit is starting to matter that 321 00:19:18,240 --> 00:19:21,480 Speaker 1: much more because as you get that rise and interest rates, 322 00:19:21,680 --> 00:19:24,280 Speaker 1: some of these credits are that much more sensitive to 323 00:19:24,400 --> 00:19:28,679 Speaker 1: any tightening, let alone forty fifty basis points. Well, I 324 00:19:28,720 --> 00:19:31,520 Speaker 1: think you have to differentiate between saying, you know, investment 325 00:19:31,560 --> 00:19:35,400 Speaker 1: grade where we've seen a sell off from the investment 326 00:19:35,440 --> 00:19:39,760 Speaker 1: grade market basically because of duration, not credit risk. Right, 327 00:19:39,800 --> 00:19:42,679 Speaker 1: And we're not worried about i G. Even in the 328 00:19:42,760 --> 00:19:45,560 Speaker 1: higher rated part of hill, We're not worried as much 329 00:19:45,680 --> 00:19:49,520 Speaker 1: because you know, this is a potent um combination of 330 00:19:49,680 --> 00:19:55,119 Speaker 1: easy fiscal a very accommodative monetary policy, and very expansive 331 00:19:55,119 --> 00:19:57,800 Speaker 1: fiscal policy. That's good for credit. But when you get 332 00:19:57,800 --> 00:20:00,600 Speaker 1: into the lower rated credit where are you've seen this 333 00:20:00,920 --> 00:20:05,440 Speaker 1: big build up of debt and the lack of earnings 334 00:20:05,480 --> 00:20:08,080 Speaker 1: that we've seen. Unless they start to kick in on 335 00:20:08,119 --> 00:20:10,920 Speaker 1: those earnings, we're going to see some deterioration there. Well, Kathy, 336 00:20:11,000 --> 00:20:12,719 Speaker 1: we have to talk about the next logical question then, 337 00:20:12,760 --> 00:20:15,399 Speaker 1: and that's the maturity wall funding requirements, And from what 338 00:20:15,400 --> 00:20:17,400 Speaker 1: we've seen in the last twelve months is an extension 339 00:20:17,400 --> 00:20:19,760 Speaker 1: of the average maturity for so many of these companies 340 00:20:20,000 --> 00:20:23,280 Speaker 1: because funding conditions have been so good. It's there a 341 00:20:23,400 --> 00:20:26,439 Speaker 1: maturity wall on the horizon. I haven't heard about it. 342 00:20:26,480 --> 00:20:30,720 Speaker 1: Do you see it? Yeah? I don't have an askment 343 00:20:30,760 --> 00:20:33,520 Speaker 1: of maturity wall that we're particularly worried about at this 344 00:20:33,600 --> 00:20:36,119 Speaker 1: stage of the game. Um, you know, there is a 345 00:20:36,160 --> 00:20:38,359 Speaker 1: lot of that build up and we're certainly going to 346 00:20:39,320 --> 00:20:42,400 Speaker 1: face some financing problems down the road, but I think 347 00:20:42,400 --> 00:20:45,000 Speaker 1: it continues to get pushed out, so that's not something 348 00:20:45,000 --> 00:20:48,439 Speaker 1: we're worried about for this year or even early next year. Kathy. 349 00:20:48,600 --> 00:20:50,920 Speaker 1: Always good to see you as always Kathy Jones of 350 00:20:50,960 --> 00:20:59,400 Speaker 1: the SWAB Center for Financial Research. We've been the great 351 00:20:59,440 --> 00:21:02,280 Speaker 1: privilege of talking to those within the Ethan Harris shop 352 00:21:02,280 --> 00:21:05,240 Speaker 1: at Bank of American Securities. As we mentioned with Dr 353 00:21:05,320 --> 00:21:08,840 Speaker 1: Harris the other day, Michelle Meyer has been absolutely brilliant 354 00:21:08,840 --> 00:21:11,320 Speaker 1: over the years and the pulse of the American economy. 355 00:21:11,600 --> 00:21:14,399 Speaker 1: She joined us here with their leadership and not only 356 00:21:14,440 --> 00:21:19,199 Speaker 1: that but her symbolism of International Women's Day and getting 357 00:21:19,200 --> 00:21:22,680 Speaker 1: it done. Michelle, you know we have followed followed your 358 00:21:22,720 --> 00:21:26,600 Speaker 1: career and it's always narrow questions about this and that. 359 00:21:26,760 --> 00:21:29,560 Speaker 1: I want to give you a broader question. What is 360 00:21:29,600 --> 00:21:35,280 Speaker 1: the quality of US seven point three percent economic growth? 361 00:21:35,640 --> 00:21:38,240 Speaker 1: What's the makeup of that big number you have Q 362 00:21:38,480 --> 00:21:42,320 Speaker 1: four to Q four. Thanks Tom, and thanks for the 363 00:21:42,440 --> 00:21:45,639 Speaker 1: question having me on today on an important day. UM So, 364 00:21:45,680 --> 00:21:48,760 Speaker 1: when you think about the drivers of US economic growth, 365 00:21:48,800 --> 00:21:52,680 Speaker 1: and particularly this year with a studying we're forecasting seven 366 00:21:52,680 --> 00:21:54,679 Speaker 1: point three percent growth, when you measured on that Q 367 00:21:54,840 --> 00:21:57,320 Speaker 1: four of a Q four basis, we think a lot 368 00:21:57,400 --> 00:21:59,480 Speaker 1: of it has to do with the consumer. It has 369 00:21:59,520 --> 00:22:02,119 Speaker 1: to do with the resolve of the consumer to spend 370 00:22:02,480 --> 00:22:05,440 Speaker 1: and the ability of the consumer to spend. I mean, 371 00:22:05,760 --> 00:22:08,760 Speaker 1: this is a household sector that is sitting on very 372 00:22:08,800 --> 00:22:11,679 Speaker 1: strong balance sheets, that is sitting on a lot of 373 00:22:11,760 --> 00:22:14,280 Speaker 1: dry powder in terms of the amount of cash that 374 00:22:14,400 --> 00:22:17,280 Speaker 1: is accumulated and more to come um, which as a 375 00:22:17,280 --> 00:22:20,639 Speaker 1: result of the latest stimulus spill um and and the 376 00:22:20,680 --> 00:22:23,879 Speaker 1: consumer has already engaged, it's proven to be resilient, and 377 00:22:23,920 --> 00:22:26,439 Speaker 1: we think there's a lot more to come um in 378 00:22:26,480 --> 00:22:29,600 Speaker 1: the coming months and quarters as the economy continues to 379 00:22:29,600 --> 00:22:32,119 Speaker 1: move forward and it's reopening. Michelle, do you think that 380 00:22:32,160 --> 00:22:34,840 Speaker 1: the concerns have been overstated that people have been holding 381 00:22:34,920 --> 00:22:38,360 Speaker 1: cash simply to pay down debt going forward that's been deferred. 382 00:22:39,800 --> 00:22:42,640 Speaker 1: I think that has been overblown on an aggregate basis. 383 00:22:42,680 --> 00:22:45,640 Speaker 1: I'm sure that is happening on a on a micro level, 384 00:22:45,680 --> 00:22:47,879 Speaker 1: and you certainly see that in some of the narratives 385 00:22:47,880 --> 00:22:50,040 Speaker 1: and in the anecdotes that are out there, but you're 386 00:22:50,080 --> 00:22:52,240 Speaker 1: not seeing that on aggregate. I mean, when you think 387 00:22:52,280 --> 00:22:55,440 Speaker 1: about the debt levels, we don't have that much debt 388 00:22:55,520 --> 00:22:59,800 Speaker 1: to pay down. It's not the the two thousand eight period, 389 00:23:00,119 --> 00:23:02,760 Speaker 1: or you had very very very much the case that 390 00:23:02,840 --> 00:23:05,440 Speaker 1: there was access debt, you needed to deleverage. Households need 391 00:23:05,480 --> 00:23:08,199 Speaker 1: to clean up their balance sheets. It's not the case today. 392 00:23:08,240 --> 00:23:13,200 Speaker 1: We entered this crisis, this pandemic with pretty low debt ratios, 393 00:23:13,440 --> 00:23:18,160 Speaker 1: historically low financial obligations ratios. Um And I think yes, 394 00:23:18,240 --> 00:23:20,480 Speaker 1: some will we go Some of that excess cash will 395 00:23:20,520 --> 00:23:23,120 Speaker 1: be going to pay down debt, but the majority will 396 00:23:23,160 --> 00:23:25,760 Speaker 1: be able to be used in some form, to be 397 00:23:25,800 --> 00:23:27,560 Speaker 1: able to be kind of pumped back into the economy 398 00:23:27,640 --> 00:23:30,159 Speaker 1: via spending. Well, the economy have the same sort of 399 00:23:30,200 --> 00:23:33,040 Speaker 1: composition when people start pumping their money back in other word, 400 00:23:33,119 --> 00:23:38,520 Speaker 1: services goods, given that that dynamic has shifted quite a 401 00:23:38,560 --> 00:23:40,760 Speaker 1: bit during the pandemic. In other words, are we going 402 00:23:40,800 --> 00:23:42,560 Speaker 1: back to normal or is this going to be a 403 00:23:42,560 --> 00:23:45,879 Speaker 1: new normal with perhaps more goods and fewer services just 404 00:23:45,920 --> 00:23:48,680 Speaker 1: in general? Well, I don't think we Yeah, I don't 405 00:23:48,680 --> 00:23:50,080 Speaker 1: think we should assume that we're going to go back 406 00:23:50,080 --> 00:23:52,480 Speaker 1: to the economy as it looked prior to the pandemic. 407 00:23:52,560 --> 00:23:55,159 Speaker 1: Too much has changed in the world and in the 408 00:23:55,160 --> 00:23:58,520 Speaker 1: economy in the last year, um And, I mean certainly 409 00:23:58,560 --> 00:24:01,440 Speaker 1: the the embrace of more to technology, the embrace of 410 00:24:01,480 --> 00:24:05,640 Speaker 1: an online retailer that has now you know, shown itself 411 00:24:05,680 --> 00:24:10,240 Speaker 1: through a variety of different categories and sectors, to spend um. 412 00:24:10,359 --> 00:24:12,840 Speaker 1: But you know, when you think about the basket spend 413 00:24:12,920 --> 00:24:16,240 Speaker 1: right when the pandemic hit, Yes, people were predominantly spending 414 00:24:16,240 --> 00:24:19,960 Speaker 1: on goods because they couldn't spend on leisure and other 415 00:24:20,000 --> 00:24:22,560 Speaker 1: types of services. Once they are able to spend on 416 00:24:22,640 --> 00:24:24,960 Speaker 1: leisure and services, there will be a certain amount of 417 00:24:24,960 --> 00:24:28,040 Speaker 1: demand that shows through for those categories, but that will 418 00:24:28,080 --> 00:24:30,439 Speaker 1: be the equilibrium either. Right. We have to get past 419 00:24:30,480 --> 00:24:32,679 Speaker 1: that pent up demand and then we'll figure out what 420 00:24:32,760 --> 00:24:35,159 Speaker 1: that right balance is between goods and services. Michelle, do 421 00:24:35,200 --> 00:24:37,159 Speaker 1: you know what's so original about this moment? I'd love 422 00:24:37,200 --> 00:24:40,240 Speaker 1: to get some insight into your conversations with clients. The 423 00:24:40,320 --> 00:24:43,320 Speaker 1: bulls and bears both agree on whether data is going 424 00:24:43,359 --> 00:24:47,000 Speaker 1: to be in about four months. They just disagree on 425 00:24:47,040 --> 00:24:49,040 Speaker 1: how they think the fetes going to respond to it 426 00:24:49,440 --> 00:24:51,800 Speaker 1: in the months after that. When you speak to clients, 427 00:24:51,840 --> 00:24:54,399 Speaker 1: how many of them just roughly just throw out a number, 428 00:24:54,600 --> 00:24:56,639 Speaker 1: how many of them are convinced by the FETs reaction 429 00:24:56,720 --> 00:24:59,560 Speaker 1: function when data actually starts to pick up aggressively, when 430 00:24:59,560 --> 00:25:03,040 Speaker 1: inflation and starts to pick up too. You know, I 431 00:25:03,080 --> 00:25:05,200 Speaker 1: would say the majority of the clients we talked to 432 00:25:05,760 --> 00:25:08,679 Speaker 1: UM have an appreciation for the fence reaction function in 433 00:25:08,720 --> 00:25:13,159 Speaker 1: that they recognize it is different than the prior cycle, 434 00:25:13,280 --> 00:25:15,680 Speaker 1: that this is not a FED that is looking to normalize. 435 00:25:15,720 --> 00:25:17,720 Speaker 1: This is not a FED that's going to hike upon 436 00:25:17,800 --> 00:25:20,320 Speaker 1: a falling unemployment rate, And it's not a FAT that's 437 00:25:20,320 --> 00:25:22,480 Speaker 1: going to hike when they start to sniff out inflation. 438 00:25:22,520 --> 00:25:25,239 Speaker 1: They are going to wait until the unemployment rate is 439 00:25:25,320 --> 00:25:29,679 Speaker 1: below estimates of NERO, until you've reached that maximum employment measure. 440 00:25:29,840 --> 00:25:33,560 Speaker 1: They're gonna wait until you properly have inflation. But here's 441 00:25:33,680 --> 00:25:36,240 Speaker 1: here's the Here's I think the distinction where there's a debate. 442 00:25:36,320 --> 00:25:39,119 Speaker 1: It's what's the level of inflation? Right? So is it 443 00:25:39,240 --> 00:25:40,920 Speaker 1: that they need to say two percent inflation and they're 444 00:25:40,920 --> 00:25:42,840 Speaker 1: going to want to get going, or will theF that 445 00:25:43,040 --> 00:25:46,560 Speaker 1: actually be able to tolerate something above two percent for 446 00:25:46,600 --> 00:25:48,159 Speaker 1: a period of time. And that's where I think you 447 00:25:48,200 --> 00:25:50,679 Speaker 1: do have a little bit of a disagreement amongst market 448 00:25:50,680 --> 00:25:52,919 Speaker 1: participants that want to try to urge the FED along 449 00:25:52,920 --> 00:25:55,600 Speaker 1: in their hiking cycle. And John, do you really really 450 00:25:55,640 --> 00:25:59,320 Speaker 1: important question four months out? It's not only about the FED. 451 00:25:59,800 --> 00:26:03,560 Speaker 1: It's this disagreement about the makeup of the American economy. 452 00:26:03,680 --> 00:26:06,919 Speaker 1: It's raging debate and the darkts have changed, Michelle, the 453 00:26:06,960 --> 00:26:09,639 Speaker 1: targets in the labor market change. For this Federal Reserve 454 00:26:09,720 --> 00:26:12,120 Speaker 1: and for market participants, we have to change what we're 455 00:26:12,160 --> 00:26:15,320 Speaker 1: looking at too. It's not about aggregant numbers. It's about disparity. 456 00:26:15,440 --> 00:26:18,359 Speaker 1: By definition, does not just mean Michelle, the Fed moves 457 00:26:18,440 --> 00:26:23,320 Speaker 1: much later than they would have otherwise in previous cycles. Yes, 458 00:26:23,359 --> 00:26:25,639 Speaker 1: that is exactly what the Fed is trying to communicate, 459 00:26:25,680 --> 00:26:28,320 Speaker 1: and I think for very good reasons. They're saying, it's 460 00:26:28,359 --> 00:26:30,639 Speaker 1: not just about getting that you three, that aggregate and 461 00:26:30,680 --> 00:26:33,600 Speaker 1: measure of the employment rate down. It's much more than that. 462 00:26:33,640 --> 00:26:35,919 Speaker 1: Maximum employment is to be able to get people to 463 00:26:35,960 --> 00:26:37,719 Speaker 1: re engage in the labor force. So look at these 464 00:26:37,720 --> 00:26:41,520 Speaker 1: broader measures. I've include labor force participation rates. It's about 465 00:26:41,560 --> 00:26:45,880 Speaker 1: getting the unemploymer rate down across income, racial and income. 466 00:26:46,359 --> 00:26:48,840 Speaker 1: They said income divides, right, So it's it's broad based, 467 00:26:48,880 --> 00:26:52,000 Speaker 1: it's complete. And the key to that is that it 468 00:26:52,040 --> 00:26:56,239 Speaker 1: will make it sustainable. Right, if you have an unemployment rate, 469 00:26:56,280 --> 00:26:58,760 Speaker 1: if you have a labor market that's tight enough across 470 00:26:58,800 --> 00:27:01,800 Speaker 1: the board, it could last, It could it could feed 471 00:27:01,880 --> 00:27:04,359 Speaker 1: upon itself, and you can have a much stronger and 472 00:27:04,359 --> 00:27:08,919 Speaker 1: more persistent recovery. What percent of the agony here the 473 00:27:09,040 --> 00:27:14,280 Speaker 1: job agony forward is restaurants, bars, hospitality, What percent of 474 00:27:14,320 --> 00:27:17,800 Speaker 1: it is pandemic jobs, and what percent is the greater 475 00:27:17,840 --> 00:27:22,960 Speaker 1: American economy jobs. So there's a lot of room for 476 00:27:23,040 --> 00:27:26,399 Speaker 1: expansions still in those categories leisure in hospitality, and we 477 00:27:26,440 --> 00:27:28,560 Speaker 1: saw that in the last jobs report the majority of 478 00:27:28,640 --> 00:27:31,200 Speaker 1: jobs creed in the private sector were in leisure on hospitality, 479 00:27:31,240 --> 00:27:33,800 Speaker 1: which was a payback from the decline we have seen 480 00:27:33,840 --> 00:27:37,000 Speaker 1: in December of January and those categories. So, um, as 481 00:27:37,040 --> 00:27:41,040 Speaker 1: economy reopens, you naturally will get a big jump in 482 00:27:41,440 --> 00:27:44,840 Speaker 1: job creation in those categories. Will it get all the 483 00:27:44,840 --> 00:27:47,760 Speaker 1: way back to pre pandemic levels. I think that's debatable. 484 00:27:47,800 --> 00:27:51,199 Speaker 1: There probably will be some inevitable scarring in those in 485 00:27:51,240 --> 00:27:54,120 Speaker 1: those sectors, but yes, you will have certainly a good 486 00:27:54,160 --> 00:27:56,679 Speaker 1: amount of job creation there. The key, though, I think, 487 00:27:56,800 --> 00:27:58,560 Speaker 1: is what comes next as you know that tom right, 488 00:27:58,640 --> 00:28:01,840 Speaker 1: once you get past that just kind of mechanical reopening swing, 489 00:28:02,240 --> 00:28:04,760 Speaker 1: what does the economy look like. What's the momentum for growth, 490 00:28:04,800 --> 00:28:07,040 Speaker 1: and that I think will ultimately be field void. How 491 00:28:07,119 --> 00:28:10,800 Speaker 1: much consumers are spending and how that this naturally feeds 492 00:28:10,800 --> 00:28:14,920 Speaker 1: back into broad based business investment, which then feeds back 493 00:28:14,920 --> 00:28:17,119 Speaker 1: into the labor market through your job creations. So you 494 00:28:17,160 --> 00:28:20,240 Speaker 1: need to get to that positive feedback loop ultimately, UM, 495 00:28:20,280 --> 00:28:22,159 Speaker 1: to get to get a better appreciation of what the 496 00:28:22,200 --> 00:28:24,320 Speaker 1: economy looks like after this ALF set and done. Is 497 00:28:24,320 --> 00:28:26,000 Speaker 1: it too early to do? Right? Hot? Guess is? Do 498 00:28:26,000 --> 00:28:31,120 Speaker 1: you have a right hot guest at this point? Miche three? Four? Yeah, Um, 499 00:28:31,320 --> 00:28:34,120 Speaker 1: so we're in the camp that the FEDS first site 500 00:28:34,119 --> 00:28:36,720 Speaker 1: will be in three more likely in the second half, 501 00:28:36,720 --> 00:28:39,920 Speaker 1: in the first half, but that's you know, still up 502 00:28:39,920 --> 00:28:42,760 Speaker 1: to up to the data. Frankly, Um, you know, to 503 00:28:42,880 --> 00:28:45,080 Speaker 1: get the FETE to hike before that. To get the 504 00:28:45,080 --> 00:28:48,000 Speaker 1: FETE to think about a hike next year, you know, 505 00:28:49,080 --> 00:28:52,200 Speaker 1: a lot would have to go very, very very right. 506 00:28:52,240 --> 00:28:54,360 Speaker 1: And again we are forecasting a lot to go right. 507 00:28:54,400 --> 00:28:57,080 Speaker 1: We are forecasting a very strong economy. But I think 508 00:28:57,120 --> 00:28:59,760 Speaker 1: for the FETE to feel comfortable a lift off that quick, 509 00:29:00,000 --> 00:29:04,320 Speaker 1: they would need to see the inflation cycle really really 510 00:29:04,400 --> 00:29:07,800 Speaker 1: speed up, Inflation expectations move up in a meaningful way. 511 00:29:08,280 --> 00:29:12,880 Speaker 1: UM wage growth showing signs again of increasing across the board, 512 00:29:13,280 --> 00:29:15,520 Speaker 1: and that would convince them that inflation will be able 513 00:29:15,560 --> 00:29:17,520 Speaker 1: to take off, and I'm just not convinced that will 514 00:29:17,560 --> 00:29:20,120 Speaker 1: happen by the end of next year. Michelle tremendous as 515 00:29:20,120 --> 00:29:22,800 Speaker 1: always and good to see a michellema of Banks America 516 00:29:22,880 --> 00:29:31,920 Speaker 1: Securities on this better Outlook, this better economy. This is 517 00:29:31,920 --> 00:29:36,400 Speaker 1: a joy. Very Grant is with bursting and UH with 518 00:29:36,560 --> 00:29:40,760 Speaker 1: the senior portfolio manager responsible investing, and she brings to 519 00:29:40,800 --> 00:29:43,040 Speaker 1: the job and this concludes the s G and the 520 00:29:43,080 --> 00:29:46,959 Speaker 1: rest of it. She brings to the job a prodigious 521 00:29:47,160 --> 00:29:52,280 Speaker 1: resume and ability and all the different aspects of investing, 522 00:29:52,400 --> 00:29:55,880 Speaker 1: including with the CFA Institute in her work years ago 523 00:29:56,000 --> 00:29:59,480 Speaker 1: on the study of shorting and such. She's just immensely 524 00:29:59,520 --> 00:30:03,120 Speaker 1: accomp We're thrilled to a a value Grant. Whether it's your valerie. 525 00:30:03,560 --> 00:30:08,680 Speaker 1: When did you realize on International Women's Day? Did it 526 00:30:08,720 --> 00:30:11,920 Speaker 1: was a little bit challenging for women? Did that happen 527 00:30:12,040 --> 00:30:15,080 Speaker 1: early on or did that happen when you walked through 528 00:30:15,120 --> 00:30:19,720 Speaker 1: the door of the house at Sally Crawchuck Built. Oh 529 00:30:19,800 --> 00:30:25,520 Speaker 1: my goodness, well, good morning everyone. Um. I would say that, 530 00:30:25,880 --> 00:30:28,600 Speaker 1: you know, that was sort of a realization for me 531 00:30:28,920 --> 00:30:32,920 Speaker 1: as a young girl, but it's not something that I 532 00:30:32,920 --> 00:30:38,800 Speaker 1: paid a lot of attention to or view necessarily as 533 00:30:38,800 --> 00:30:42,040 Speaker 1: something to slow me down. And that's because of my mother. 534 00:30:43,160 --> 00:30:47,920 Speaker 1: My mother was a very unconventional person in many ways. 535 00:30:47,920 --> 00:30:51,360 Speaker 1: She was a mathematician by training, and she worked for 536 00:30:51,400 --> 00:30:55,040 Speaker 1: the U. S Department of Defense as an operations research analyst. 537 00:30:55,600 --> 00:31:00,240 Speaker 1: So she was extremely smart and had a quite unconventional 538 00:31:00,400 --> 00:31:03,640 Speaker 1: career for a woman at that time. And so I 539 00:31:03,680 --> 00:31:05,760 Speaker 1: saw her, you know, get up and do what she 540 00:31:05,880 --> 00:31:07,720 Speaker 1: was doing, and I said, well, I'm gonna do what 541 00:31:07,720 --> 00:31:10,760 Speaker 1: I'm gonna do, and um, I just repeat it from there, 542 00:31:10,800 --> 00:31:13,560 Speaker 1: so to speak. How do we extend that? Or Lisa 543 00:31:13,600 --> 00:31:16,360 Speaker 1: Abramoins was telling me this morning of the challenges that 544 00:31:16,480 --> 00:31:19,680 Speaker 1: her Chicago, of everybody in the room was a guy 545 00:31:19,760 --> 00:31:22,600 Speaker 1: except her, and some of the fancy math she did. 546 00:31:22,640 --> 00:31:25,040 Speaker 1: I think of, you know what Sally Cratchuck did at 547 00:31:25,120 --> 00:31:29,080 Speaker 1: your Alliance Bernstein then Sanford Bernstein and building out their 548 00:31:29,120 --> 00:31:34,120 Speaker 1: research capability. How do we get more women doing what 549 00:31:34,200 --> 00:31:38,840 Speaker 1: young Valerie Grant did, which is doing math, doing statistics. 550 00:31:38,920 --> 00:31:42,120 Speaker 1: How do we how do we jump start that? Well? 551 00:31:42,160 --> 00:31:47,400 Speaker 1: I think that really just making the the the learning 552 00:31:47,440 --> 00:31:53,480 Speaker 1: experience perhaps more accessible and more engaging. And then also 553 00:31:53,520 --> 00:31:55,080 Speaker 1: I think there's a lot of work to be done 554 00:31:55,160 --> 00:31:59,400 Speaker 1: just to talk about how fun and how enjoyable a 555 00:31:59,480 --> 00:32:03,480 Speaker 1: career in finance can be. I think sometimes that's overlooked. 556 00:32:03,520 --> 00:32:06,000 Speaker 1: People talk about the struggles and the challenges, but it's 557 00:32:06,000 --> 00:32:10,160 Speaker 1: actually a really fun job interesting. Every day is different 558 00:32:10,200 --> 00:32:12,640 Speaker 1: and new, and so I think we have to begin 559 00:32:12,760 --> 00:32:16,200 Speaker 1: to convey that part of it more um and encourage 560 00:32:16,200 --> 00:32:18,880 Speaker 1: women to to stick with it and to find their 561 00:32:19,040 --> 00:32:22,680 Speaker 1: find their spot. My colleague Paul Sweeney has been miserable 562 00:32:22,720 --> 00:32:27,600 Speaker 1: every single day financial career. Yeah, Valerie, you know, I 563 00:32:27,640 --> 00:32:29,800 Speaker 1: worked at twenty years on Wall Street as a research 564 00:32:29,840 --> 00:32:32,160 Speaker 1: channelis and then I helped build the research department here 565 00:32:32,200 --> 00:32:35,040 Speaker 1: a Bloomberg for about ten years. And what I found was, 566 00:32:35,520 --> 00:32:38,920 Speaker 1: you know, some of those incoming classes of analysts, whether 567 00:32:38,920 --> 00:32:40,880 Speaker 1: it's going into into the investment bank where they hire 568 00:32:40,880 --> 00:32:43,160 Speaker 1: a couple hundred kids every year at a school or 569 00:32:43,320 --> 00:32:46,680 Speaker 1: m MBA programs, they look pretty diverse. The statistics are 570 00:32:46,720 --> 00:32:48,920 Speaker 1: pretty darn good. But then when you get seven to 571 00:32:49,000 --> 00:32:52,440 Speaker 1: ten years later, when you start talking managing director or partner, 572 00:32:53,040 --> 00:32:57,440 Speaker 1: not so diverse anymore. It's it's that interim period where uh, 573 00:32:57,800 --> 00:33:01,440 Speaker 1: women and other minorities seem to fall out of the workforce. 574 00:33:01,480 --> 00:33:05,720 Speaker 1: It seems like you know that that's true. I think 575 00:33:05,760 --> 00:33:08,000 Speaker 1: that there is certainly less diversity at the top of 576 00:33:08,000 --> 00:33:11,440 Speaker 1: the house, so to speak. We are seeing some progress. 577 00:33:11,760 --> 00:33:15,040 Speaker 1: I have my actually Harvard Business Field classmate, Jane Fraser 578 00:33:15,120 --> 00:33:18,920 Speaker 1: over at City running a major financial institution. There are 579 00:33:18,960 --> 00:33:23,560 Speaker 1: several other women. Uh the Sunda Brown Ducket who just 580 00:33:23,800 --> 00:33:26,640 Speaker 1: was named CEO at t I a A Is another example. 581 00:33:27,040 --> 00:33:30,920 Speaker 1: So there are some examples of that glass ceiling being shattered. 582 00:33:31,280 --> 00:33:34,440 Speaker 1: But I do think it's important for organizations to take 583 00:33:34,480 --> 00:33:37,000 Speaker 1: a close look at their culture. They have to look 584 00:33:37,040 --> 00:33:40,880 Speaker 1: at pay equity. They have to look at pay equity, 585 00:33:41,000 --> 00:33:42,960 Speaker 1: and I repeat that at third time. They have to 586 00:33:43,040 --> 00:33:47,680 Speaker 1: look at pay equity because that's a signal. It says 587 00:33:47,760 --> 00:33:50,360 Speaker 1: to a young woman or a person of color, or 588 00:33:50,440 --> 00:33:53,800 Speaker 1: quite frankly, to white men, you'll be treated fairly here. 589 00:33:54,760 --> 00:33:57,400 Speaker 1: Everybody has a fair shot. And I think that's something 590 00:33:57,440 --> 00:34:01,920 Speaker 1: that the financial services UM industry, if you will, could 591 00:34:01,960 --> 00:34:04,640 Speaker 1: do a better job on transparency, on pay equity, and 592 00:34:04,720 --> 00:34:07,920 Speaker 1: also just you know, making sure that they're um they 593 00:34:07,920 --> 00:34:11,600 Speaker 1: are actually enforcing those types of policies and practices is 594 00:34:11,719 --> 00:34:14,919 Speaker 1: very important as a motivating factor. Yeah, all right, let's 595 00:34:14,920 --> 00:34:19,040 Speaker 1: shift to the markets, Valerie. You know we're hearing more 596 00:34:19,080 --> 00:34:23,120 Speaker 1: and more about E s G investing, environmental social governance. 597 00:34:23,640 --> 00:34:27,960 Speaker 1: Bloomberg certainly features a lot of data on the terminal 598 00:34:28,040 --> 00:34:31,520 Speaker 1: to help investors with their investing looking at E s G. 599 00:34:32,040 --> 00:34:35,200 Speaker 1: Talk to us about how you view uh this part 600 00:34:35,400 --> 00:34:41,080 Speaker 1: of you know, portfolio management. I think that responsible investing, 601 00:34:41,440 --> 00:34:45,040 Speaker 1: or the integration of environmental, social and governance factors into 602 00:34:45,120 --> 00:34:48,400 Speaker 1: traditional approaches to investing is one of the most exciting 603 00:34:48,520 --> 00:34:52,239 Speaker 1: areas in asset management right now. Um. I think that 604 00:34:52,280 --> 00:34:55,560 Speaker 1: what we've seen, particularly over the last couple of years 605 00:34:55,719 --> 00:35:00,600 Speaker 1: is just an acceleration and focus on issues like climb change, 606 00:35:01,040 --> 00:35:06,720 Speaker 1: diversity and inclusion, pay equity, which we've already discussed, worker safety, 607 00:35:07,200 --> 00:35:10,279 Speaker 1: and data privacy and security, and all of these used 608 00:35:10,320 --> 00:35:13,960 Speaker 1: to be considered ancillary issues. But I think what investors 609 00:35:13,960 --> 00:35:17,360 Speaker 1: have realized is that they often have a direct impact 610 00:35:17,800 --> 00:35:20,040 Speaker 1: on equity values. And then if you look at the 611 00:35:20,080 --> 00:35:23,200 Speaker 1: fixed income side of the house, there there are consequences 612 00:35:23,239 --> 00:35:26,080 Speaker 1: there as well in terms of the credit worthiness of 613 00:35:26,520 --> 00:35:30,280 Speaker 1: some of the issuers out there. So, um, it's exciting 614 00:35:30,400 --> 00:35:33,400 Speaker 1: and I'm I'm happy to be part of it. Valerie 615 00:35:33,400 --> 00:35:36,640 Speaker 1: when I look at E. S. G and you know 616 00:35:36,840 --> 00:35:40,400 Speaker 1: it's all the rage. Let's be honest, all our radar, 617 00:35:40,520 --> 00:35:44,920 Speaker 1: Valerie Grants radar, my radar, Paul Sweeney's radars up. Because 618 00:35:44,920 --> 00:35:48,399 Speaker 1: when every something is the rage, it usually doesn't turn 619 00:35:48,440 --> 00:35:52,360 Speaker 1: out good. Are you concerned that it's so in that 620 00:35:52,440 --> 00:35:56,719 Speaker 1: it could be challenging? I don't think so, because the 621 00:35:57,040 --> 00:36:00,840 Speaker 1: reality is that they're still lot of work to be 622 00:36:00,880 --> 00:36:04,080 Speaker 1: done in terms of even just basic levels of disclosure, 623 00:36:04,160 --> 00:36:09,000 Speaker 1: corporate disclosure on material, environmental, social and governance issues. I 624 00:36:09,040 --> 00:36:12,520 Speaker 1: think that the data currently is still very uneven. So 625 00:36:12,680 --> 00:36:14,480 Speaker 1: for those of you have been in the investing business 626 00:36:14,520 --> 00:36:17,480 Speaker 1: a long time, you can probably remember back in the 627 00:36:17,520 --> 00:36:20,960 Speaker 1: old days when the data even on basic financial performance 628 00:36:21,040 --> 00:36:25,160 Speaker 1: perhaps was very inconsistently reported. So I think there's still 629 00:36:25,200 --> 00:36:30,520 Speaker 1: a lot of opportunity for both fundamental approaches and systematic 630 00:36:30,560 --> 00:36:36,080 Speaker 1: approaches in responsible investing. And I just think that the 631 00:36:36,239 --> 00:36:40,120 Speaker 1: demand will continue for some time. Yeah, not enough time, 632 00:36:40,239 --> 00:36:42,640 Speaker 1: very Grant. We have to get you on again. Thank 633 00:36:42,640 --> 00:36:45,200 Speaker 1: you so much for joining us with Alliance Bernstein and 634 00:36:45,239 --> 00:36:49,920 Speaker 1: really running all of their responsible investing operations. Just hugely 635 00:36:50,000 --> 00:36:54,440 Speaker 1: qualified value. Grant. Thank you so much. This is the 636 00:36:54,480 --> 00:36:59,120 Speaker 1: Bloomberg Surveillance Podcast. Thanks for listening. Join us live weekdays 637 00:36:59,160 --> 00:37:02,600 Speaker 1: from seven to two Nami Eastern on Bloomberg Radio and 638 00:37:02,760 --> 00:37:07,040 Speaker 1: on Bloomberg Television each day from six to nine am 639 00:37:07,080 --> 00:37:10,840 Speaker 1: for insight from the best in economics, finance, investment, and 640 00:37:10,920 --> 00:37:17,480 Speaker 1: international relations. And subscribe to the Surveillance podcast on Apple podcast, SoundCloud, 641 00:37:17,640 --> 00:37:21,200 Speaker 1: Bloomberg dot com, and of course, on the terminal. I'm 642 00:37:21,280 --> 00:37:23,960 Speaker 1: Tom Keene, and this is Bloomberg