1 00:00:02,480 --> 00:00:10,480 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. This is the Bloomberg 2 00:00:10,520 --> 00:00:13,720 Speaker 1: Daybreak Asia podcast. I'm Doug Prisner. You can join Brian 3 00:00:13,800 --> 00:00:16,640 Speaker 1: Curtis and myself for the stories making news and moving 4 00:00:16,680 --> 00:00:19,560 Speaker 1: markets in the Apec region. You can subscribe to the 5 00:00:19,600 --> 00:00:23,080 Speaker 1: show anywhere you get your podcast and always on Bloomberg Radio, 6 00:00:23,320 --> 00:00:26,120 Speaker 1: the Bloomberg Terminal, and the Bloomberg Business app. 7 00:00:26,960 --> 00:00:30,080 Speaker 2: That poll by Bloomberg News and Morning Consult that came 8 00:00:30,120 --> 00:00:33,879 Speaker 2: out just recently with Donald Trump leading President Biden by 9 00:00:33,880 --> 00:00:35,960 Speaker 2: only a couple of percentage points. Joining us for some 10 00:00:36,040 --> 00:00:39,559 Speaker 2: discussion of this is Jody Schneider, political news director for 11 00:00:39,640 --> 00:00:43,159 Speaker 2: Bloomberg Television and Radio. How do you see it? 12 00:00:44,600 --> 00:00:46,680 Speaker 3: Yeah, I think you know, a lot of things can 13 00:00:46,720 --> 00:00:49,879 Speaker 3: be happening at the same time. So while we're all 14 00:00:50,120 --> 00:00:53,680 Speaker 3: very focused on the debate and his presidence, per performance 15 00:00:53,680 --> 00:00:56,360 Speaker 3: in the debate and what that could mean, there were 16 00:00:56,400 --> 00:00:59,840 Speaker 3: other things perhaps happening in those states, you know, over 17 00:00:59,840 --> 00:01:02,880 Speaker 3: the period he may have visited in those states. So 18 00:01:03,200 --> 00:01:06,000 Speaker 3: that's the kind of thing that could sway some people 19 00:01:06,040 --> 00:01:09,400 Speaker 3: and also the people who are who might have had 20 00:01:09,440 --> 00:01:13,800 Speaker 3: a pre election to vote for President Biden, even with 21 00:01:13,959 --> 00:01:16,400 Speaker 3: the poor performance in the debate. They may have been 22 00:01:17,480 --> 00:01:20,880 Speaker 3: pushed even more to that because of Donald Trump's performance 23 00:01:20,920 --> 00:01:24,160 Speaker 3: in terms of the more than thirty lives he told 24 00:01:24,240 --> 00:01:27,440 Speaker 3: on the stage, according to some accounts some counts of 25 00:01:28,120 --> 00:01:30,240 Speaker 3: what he said. So I think there's a number of 26 00:01:30,280 --> 00:01:33,640 Speaker 3: things going on there, but it's certainly interesting now. The 27 00:01:33,680 --> 00:01:37,759 Speaker 3: one the swing state poll that does show Biden trailing 28 00:01:37,800 --> 00:01:41,760 Speaker 3: the most in Pennsylvania done by seven points, and that's 29 00:01:41,800 --> 00:01:43,920 Speaker 3: going to be very problematic for him if he can't 30 00:01:43,959 --> 00:01:45,640 Speaker 3: start making up some of that gap. 31 00:01:45,959 --> 00:01:48,920 Speaker 1: Chody, I'm wondering if these data in any way change 32 00:01:49,040 --> 00:01:52,480 Speaker 1: some of the private conversation within the Democratic Party. I 33 00:01:52,520 --> 00:01:57,480 Speaker 1: know that Hakim Jeffries was speaking with some congressional Democrats today. 34 00:01:57,960 --> 00:02:00,280 Speaker 1: There are still a lot of folks that want Biden 35 00:02:00,320 --> 00:02:03,240 Speaker 1: to step aside as the nominee. I mean, this number 36 00:02:03,280 --> 00:02:05,440 Speaker 1: in and of itself really is not going to do 37 00:02:05,480 --> 00:02:07,680 Speaker 1: a lot, I would imagine to change that conversation. 38 00:02:08,800 --> 00:02:13,280 Speaker 3: Yeah, so we're seeing more Democrats, congressional Democrats come forward 39 00:02:13,320 --> 00:02:17,120 Speaker 3: and publicly say, well or certainly in a meeting with 40 00:02:17,280 --> 00:02:21,320 Speaker 3: Hackem Jeffries, that they want Joe Biden to step aside. 41 00:02:21,639 --> 00:02:25,960 Speaker 3: And these so called defections now include several Democratic leaders 42 00:02:26,000 --> 00:02:28,520 Speaker 3: of House committees. So that's the signal that even some 43 00:02:28,639 --> 00:02:31,440 Speaker 3: in the party who in the past have supported Joe 44 00:02:31,480 --> 00:02:33,840 Speaker 3: Biden want a new person at the top of the ticket. 45 00:02:34,680 --> 00:02:38,320 Speaker 3: This includes people like Gerald Nadler of New York, Adam 46 00:02:38,360 --> 00:02:42,440 Speaker 3: Smith of Washington State, Mark Takano of California, according to 47 00:02:42,440 --> 00:02:45,320 Speaker 3: people familiar with that discussion today. 48 00:02:46,560 --> 00:02:49,600 Speaker 2: So in the breakdown of the states, they're surprising, as 49 00:02:49,600 --> 00:02:53,680 Speaker 2: you mentioned, with Pennsylvania trailing by seven percentage points, but 50 00:02:53,840 --> 00:02:58,760 Speaker 2: leading in Wisconsin and Michigan, some pretty big states as well. 51 00:02:59,000 --> 00:03:03,280 Speaker 2: Anything really out from these individual states in your mind. 52 00:03:04,360 --> 00:03:06,600 Speaker 3: Yeah, So those three states you mentioned, of course, are 53 00:03:06,639 --> 00:03:09,560 Speaker 3: what we call the blue Wall states that effectively Joe 54 00:03:09,600 --> 00:03:13,320 Speaker 3: Biden needs to win to be able to become president. 55 00:03:13,560 --> 00:03:17,480 Speaker 3: Hillary Clinton lost those three states by small margins, but 56 00:03:17,560 --> 00:03:21,200 Speaker 3: she lost them in twenty sixteen. Joe Biden won them 57 00:03:21,240 --> 00:03:23,960 Speaker 3: in twenty twenty, and there's been a lot of talk 58 00:03:24,000 --> 00:03:28,240 Speaker 3: about if he doesn't get enough kind of voter enthusiasm 59 00:03:28,560 --> 00:03:31,079 Speaker 3: turnout in those states, he could lose them. So it's 60 00:03:31,160 --> 00:03:34,520 Speaker 3: really key in Pennsylvania's key, that's where he was born. 61 00:03:34,680 --> 00:03:37,120 Speaker 3: We saw him go there today try to kind of 62 00:03:37,200 --> 00:03:40,200 Speaker 3: rally the troops, and he did meet with him. Was 63 00:03:40,280 --> 00:03:44,720 Speaker 3: that the sitting senator's running Bob Casey was running for reelection, 64 00:03:45,160 --> 00:03:48,360 Speaker 3: has been up in the polls, and John Fetterman the 65 00:03:48,440 --> 00:03:51,480 Speaker 3: other senator from that state. So he's getting support there 66 00:03:51,960 --> 00:03:55,000 Speaker 3: from the party. But it's you that's the place he's 67 00:03:55,080 --> 00:03:57,280 Speaker 3: really going to need to do well. He spent a 68 00:03:57,320 --> 00:04:00,560 Speaker 3: lot of time there and being down seven points is 69 00:04:00,680 --> 00:04:02,240 Speaker 3: not a good sign at the stance of the game. 70 00:04:02,480 --> 00:04:04,280 Speaker 1: I'm going to go out on a limb here. I mean, 71 00:04:04,400 --> 00:04:06,880 Speaker 1: if the people that were surveyed as a part of 72 00:04:06,920 --> 00:04:12,040 Speaker 1: this morning Console Bloomberg News poll, we're aware of mister 73 00:04:12,080 --> 00:04:17,440 Speaker 1: Biden's or President Biden's issues during the debate, we don't 74 00:04:17,440 --> 00:04:20,920 Speaker 1: see maybe a tremendous amount of movement in the polling. 75 00:04:20,960 --> 00:04:24,200 Speaker 1: I'm wondering, is there a way to look through Biden 76 00:04:24,600 --> 00:04:27,640 Speaker 1: in and of himself and to see Kamala Harris as 77 00:04:27,680 --> 00:04:30,359 Speaker 1: a part of that ticket. Does this in any way 78 00:04:30,440 --> 00:04:33,680 Speaker 1: reflect mild positivity on Harris at all? 79 00:04:34,839 --> 00:04:37,880 Speaker 3: I'm not so sure, and we kind of ask that directly. 80 00:04:38,160 --> 00:04:40,880 Speaker 3: I think part of what is probably going on here, 81 00:04:41,320 --> 00:04:44,120 Speaker 3: and again to Gregory's point, there could be several things 82 00:04:44,160 --> 00:04:48,000 Speaker 3: going on here is that there is a real concern 83 00:04:48,120 --> 00:04:52,440 Speaker 3: among brothers, among Democrats, and Joe Biden has been saying 84 00:04:52,440 --> 00:04:55,960 Speaker 3: this all along, that he is the best person to 85 00:04:56,200 --> 00:04:58,720 Speaker 3: beat Donald Trump. There's a lot of thinking in the 86 00:04:58,760 --> 00:05:01,800 Speaker 3: party still that that's the case. Now. Some of these 87 00:05:02,240 --> 00:05:05,159 Speaker 3: House members and others who are saying you should be replaced, 88 00:05:05,880 --> 00:05:08,520 Speaker 3: clearly don't think that, but a lot of people do 89 00:05:08,560 --> 00:05:11,039 Speaker 3: think that it's very late in the game to be 90 00:05:11,080 --> 00:05:14,159 Speaker 3: making a change. If it was Kamala Harris, her polling 91 00:05:14,240 --> 00:05:17,760 Speaker 3: hasn't been very strong. There's some thinking that she would 92 00:05:17,800 --> 00:05:20,520 Speaker 3: be a likely successor. She's on the ticket already, she's 93 00:05:20,560 --> 00:05:23,640 Speaker 3: been vetted, and they would be able to continue the 94 00:05:23,720 --> 00:05:26,680 Speaker 3: campaign as it were in terms of the money. If 95 00:05:26,720 --> 00:05:29,720 Speaker 3: it's somebody else, that kind of throws the party into chaos, 96 00:05:29,760 --> 00:05:33,000 Speaker 3: at least for a period of time, And the thinking 97 00:05:33,120 --> 00:05:36,200 Speaker 3: is that that makes them vulnerable, more vulnerable to perhaps 98 00:05:36,200 --> 00:05:38,120 Speaker 3: bigger losses against Ella Trump. 99 00:05:38,600 --> 00:05:41,840 Speaker 2: Another that you mentioned just touched on briefly, and Greg 100 00:05:41,880 --> 00:05:44,680 Speaker 2: talked about as well as the issue of democracy now 101 00:05:44,760 --> 00:05:47,880 Speaker 2: rivaling immigration, how that could play into Biden's hands. 102 00:05:48,800 --> 00:05:52,920 Speaker 3: Yeah, and there's some of the party, then, some very 103 00:05:53,080 --> 00:05:55,800 Speaker 3: prominent people in the party are saying that President Biden 104 00:05:55,839 --> 00:05:59,640 Speaker 3: should focus on the issues where Donald Trump is vulnerable. 105 00:06:00,160 --> 00:06:02,720 Speaker 3: So much of the talk since a week ago Thursday 106 00:06:03,000 --> 00:06:05,480 Speaker 3: has been about that debate performance, so that he needs 107 00:06:05,520 --> 00:06:09,479 Speaker 3: to change the message back to things like reproductive rights, 108 00:06:09,520 --> 00:06:12,560 Speaker 3: back to what they've done to health the economy. 109 00:06:12,720 --> 00:06:15,480 Speaker 2: Yeah, Jody, thank you for joining us. Jody Schneider, a 110 00:06:15,560 --> 00:06:26,160 Speaker 2: political news director for Bloomberg TV and Radio. Nancy Davis, 111 00:06:26,160 --> 00:06:31,039 Speaker 2: Founder and portfolio manager of Quadratic Capital Management, Nancy, we 112 00:06:31,160 --> 00:06:32,960 Speaker 2: like to stir things up a little bit, so true 113 00:06:33,000 --> 00:06:36,919 Speaker 2: or false, It's evident to everyone except the FED that 114 00:06:37,040 --> 00:06:40,520 Speaker 2: the tide has turned on the economy and on jobs, 115 00:06:41,080 --> 00:06:44,160 Speaker 2: and the FED is behind the curve now in signaling 116 00:06:44,160 --> 00:06:45,039 Speaker 2: a cut in rates. 117 00:06:45,240 --> 00:06:51,240 Speaker 4: True or false, It's hard to say because the obviously 118 00:06:51,320 --> 00:06:55,960 Speaker 4: the jobs number on Friday, especially the revisions were much weaker. 119 00:06:56,839 --> 00:07:00,320 Speaker 4: But the Fed's balance sheet is still ginormous. You know, 120 00:07:00,360 --> 00:07:03,520 Speaker 4: they really were just kind of only hiking policy rates 121 00:07:03,520 --> 00:07:07,760 Speaker 4: and not really you know, the quantitative tightening that we've experienced, 122 00:07:07,839 --> 00:07:12,560 Speaker 4: especially with the bailout around Silicon Valley Bank March last year, 123 00:07:13,040 --> 00:07:15,920 Speaker 4: you know, still has kept the supply of money alive 124 00:07:16,000 --> 00:07:19,360 Speaker 4: and well, so I think you know, I'm kind of 125 00:07:19,360 --> 00:07:23,760 Speaker 4: going to go with inflation is definitely priced to fall 126 00:07:23,880 --> 00:07:27,400 Speaker 4: to two percent. Everyone is very confident that PAL has 127 00:07:27,440 --> 00:07:31,320 Speaker 4: got this and can start rate cuts, but I don't 128 00:07:31,320 --> 00:07:33,320 Speaker 4: know if it's the right thing to do yet, TVD. 129 00:07:33,720 --> 00:07:36,960 Speaker 1: Why do you say that, Well, there's so much. 130 00:07:36,800 --> 00:07:39,880 Speaker 4: Money out there still with the amount of balance sheet. 131 00:07:40,480 --> 00:07:43,960 Speaker 4: The quantitative tightening that they did do was really small. 132 00:07:44,840 --> 00:07:49,000 Speaker 4: They've actually reduced the caps entirely, for you know, in 133 00:07:49,040 --> 00:07:52,920 Speaker 4: the last recent meeting. They're still allowing mortgages to roll off, 134 00:07:52,960 --> 00:07:55,800 Speaker 4: but it's still tiny compared to the amount of q 135 00:07:56,200 --> 00:07:59,960 Speaker 4: that was done even the eight weeks after the start 136 00:08:00,240 --> 00:08:03,559 Speaker 4: of the COVID pandemic in the US. I'm talking March 137 00:08:03,600 --> 00:08:06,320 Speaker 4: twenty twenty, and that eight weeks after the start of COVID, 138 00:08:06,560 --> 00:08:10,280 Speaker 4: Remember the Fed came out, PAL cut interest rates all 139 00:08:10,560 --> 00:08:14,840 Speaker 4: you know, Sunday evening for the Asian Open right in 140 00:08:14,920 --> 00:08:18,600 Speaker 4: the right in March twenty twenty, and there was more 141 00:08:18,680 --> 00:08:21,240 Speaker 4: QE done in that eight week period than there was 142 00:08:21,440 --> 00:08:27,120 Speaker 4: in the nine previous years of QI. So the balance 143 00:08:27,120 --> 00:08:29,960 Speaker 4: sheet is still enormous, and they've really only been kind 144 00:08:29,960 --> 00:08:33,840 Speaker 4: of tightening policy on one side with policy rates and 145 00:08:33,880 --> 00:08:38,480 Speaker 4: the yield curve has been inverted longer than ever ever 146 00:08:38,520 --> 00:08:42,000 Speaker 4: in our history, of our lifetime. So you know, the market, 147 00:08:42,200 --> 00:08:44,040 Speaker 4: you know, there's still a lot of supply of money 148 00:08:44,080 --> 00:08:46,960 Speaker 4: out there, even though inflation expectations have fallen. 149 00:08:47,280 --> 00:08:49,440 Speaker 2: Yeah, and you can also argue that the jobs report 150 00:08:49,559 --> 00:08:53,400 Speaker 2: wasn't exactly weak even though the unemployment rate ticked up 151 00:08:53,400 --> 00:08:55,720 Speaker 2: to four point one percent. That's a rounding thing. It 152 00:08:55,800 --> 00:08:59,600 Speaker 2: was four point zero five four, so really just smacked 153 00:08:59,600 --> 00:09:01,920 Speaker 2: doub in the middle between four and four point one. 154 00:09:02,440 --> 00:09:07,400 Speaker 4: And then also the private sector was weak. The government 155 00:09:07,520 --> 00:09:10,480 Speaker 4: numbers looked really strong, but I think you know, if 156 00:09:10,559 --> 00:09:13,640 Speaker 4: you you know, put a skeptic had ons as a 157 00:09:13,679 --> 00:09:17,880 Speaker 4: Bureau of Labor Statistics, the revisions from the last jobs report, 158 00:09:17,960 --> 00:09:22,520 Speaker 4: which looked super hot, were massive, and the private sector 159 00:09:22,559 --> 00:09:25,920 Speaker 4: is showing weakness. So that's what I mean by weakness. 160 00:09:26,679 --> 00:09:29,439 Speaker 1: Where do you see yields going between now and the 161 00:09:29,559 --> 00:09:30,280 Speaker 1: end of the year. 162 00:09:31,880 --> 00:09:34,840 Speaker 4: Well, the yield curve in the US is much more 163 00:09:34,840 --> 00:09:37,960 Speaker 4: inverted than anywhere else in the world. If you look 164 00:09:38,000 --> 00:09:41,920 Speaker 4: at you know, say Japan's two tens swap curve, you know, 165 00:09:41,920 --> 00:09:45,680 Speaker 4: on your Bloomberg terminal, you can see it's positive sixty 166 00:09:46,040 --> 00:09:50,000 Speaker 4: two basis points right now the US, the two tens 167 00:09:50,040 --> 00:09:54,880 Speaker 4: SOFA curve in dollars is negative sixty, So it's literally, 168 00:09:55,120 --> 00:09:59,160 Speaker 4: you know, same same sixty number, but exactly the opposite. 169 00:10:00,000 --> 00:10:02,840 Speaker 4: And I think that that's really a sign of how 170 00:10:02,920 --> 00:10:07,080 Speaker 4: much the market does believe that the FED is going 171 00:10:07,120 --> 00:10:10,840 Speaker 4: to be cutting rates because people are buying duration. But 172 00:10:10,920 --> 00:10:14,520 Speaker 4: there's a lot of expectations that, you know, inflation is 173 00:10:14,520 --> 00:10:18,160 Speaker 4: the thing in the past, and I'm not convinced even 174 00:10:18,160 --> 00:10:20,080 Speaker 4: though it's being priced into markets that way. 175 00:10:20,840 --> 00:10:23,960 Speaker 2: We had a little discussion earlier about artificial intelligence and 176 00:10:24,000 --> 00:10:27,800 Speaker 2: whether or not it's something that is allowing companies to 177 00:10:28,000 --> 00:10:31,920 Speaker 2: monetize as some of the excitement about the theme. We 178 00:10:31,960 --> 00:10:35,120 Speaker 2: had a downgrade on Nvidia that was from one research 179 00:10:35,200 --> 00:10:37,760 Speaker 2: or in New Street, But then we also had Samsung's 180 00:10:37,840 --> 00:10:41,640 Speaker 2: very strong earnings on Friday, a fifteen full jump in 181 00:10:41,760 --> 00:10:45,760 Speaker 2: operating profit. When you look at artificial intelligence and the 182 00:10:45,800 --> 00:10:48,160 Speaker 2: earnings of some of the top companies, is that enough 183 00:10:48,200 --> 00:10:51,640 Speaker 2: to kind of outweigh whatever we see from the FED. 184 00:10:53,559 --> 00:10:53,839 Speaker 3: Well. 185 00:10:54,080 --> 00:10:56,560 Speaker 4: I do think there's been a huge rise really since 186 00:10:56,559 --> 00:11:00,520 Speaker 4: the financial crisis with systematics strategies, and I feel like 187 00:11:00,600 --> 00:11:04,679 Speaker 4: the AI models, many of them are momentum based, and 188 00:11:04,760 --> 00:11:07,480 Speaker 4: so they're just kind of magnifying the theme that we've 189 00:11:07,520 --> 00:11:11,280 Speaker 4: already had, which is kind of essentially buy what's going 190 00:11:11,400 --> 00:11:14,480 Speaker 4: up and sell what's going down. And you know, I 191 00:11:14,520 --> 00:11:17,560 Speaker 4: don't know, you know, obviously everybody wants a lot of 192 00:11:17,640 --> 00:11:21,800 Speaker 4: different portfolio styles in your portfolio, but having kind of 193 00:11:21,840 --> 00:11:26,920 Speaker 4: that group bank around, you know, systematic only, and AI 194 00:11:27,120 --> 00:11:31,120 Speaker 4: is sort of an extension of being systematic. I don't 195 00:11:31,200 --> 00:11:34,480 Speaker 4: love all kind of the momentum out there because some 196 00:11:34,520 --> 00:11:38,319 Speaker 4: of these the valuations have gotten crazy. And then there's 197 00:11:38,320 --> 00:11:41,200 Speaker 4: some you know, pockets of value in the market, but 198 00:11:41,480 --> 00:11:44,320 Speaker 4: some people are saying that small caps are over, that 199 00:11:44,360 --> 00:11:47,960 Speaker 4: it's not even an asset class anymore, and inflation expectations 200 00:11:48,000 --> 00:11:49,880 Speaker 4: are all you know, right around. If you look at 201 00:11:49,920 --> 00:11:52,480 Speaker 4: Breake Evens on Bloomberg, on your Bloomberg terminal, you can 202 00:11:52,520 --> 00:11:55,640 Speaker 4: see they're all right, you know, hugging in the US 203 00:11:55,760 --> 00:11:59,800 Speaker 4: around two percent. So there are pockets of value, but 204 00:11:59,840 --> 00:12:02,880 Speaker 4: it's not stuff that's been going up. It's stuff that's 205 00:12:02,920 --> 00:12:03,679 Speaker 4: been going down. 206 00:12:03,920 --> 00:12:05,360 Speaker 1: I just want to be clear, at least in my 207 00:12:05,440 --> 00:12:07,560 Speaker 1: own mind. I mean, when we're talking about AI, you 208 00:12:07,679 --> 00:12:10,199 Speaker 1: seem to pick up on the theme of using artificial 209 00:12:10,200 --> 00:12:14,040 Speaker 1: intelligence and trading strategies. And yes, there has been a 210 00:12:14,080 --> 00:12:17,080 Speaker 1: lot written about the degree to which AI will impact 211 00:12:17,240 --> 00:12:21,520 Speaker 1: banking and financial services in a meaningful way. But I 212 00:12:21,559 --> 00:12:24,200 Speaker 1: think what I heard Brian kind of getting at was 213 00:12:24,240 --> 00:12:27,280 Speaker 1: this idea that we're going to see such an increase 214 00:12:27,280 --> 00:12:31,680 Speaker 1: in worker productivity that that will necessarily as a result 215 00:12:31,679 --> 00:12:35,280 Speaker 1: of the application of AI, will that will necessarily make 216 00:12:35,360 --> 00:12:38,720 Speaker 1: it easier for the FED to become accommodative. Are we 217 00:12:38,800 --> 00:12:40,480 Speaker 1: on the same paychere? I just want to make sure 218 00:12:40,520 --> 00:12:42,960 Speaker 1: that I'm understanding where we are in the conversation. 219 00:12:44,040 --> 00:12:46,120 Speaker 4: Well, I guess it's all about timing, because if we 220 00:12:46,240 --> 00:12:50,000 Speaker 4: just play that forward and productivity increases a ton, let's 221 00:12:50,120 --> 00:12:53,200 Speaker 4: just say that happens. Eventually, there are going to be 222 00:12:53,240 --> 00:12:55,440 Speaker 4: a lot less humans that are going to be needed 223 00:12:55,480 --> 00:12:59,079 Speaker 4: to do the same job. Right, the circle comes kind 224 00:12:59,080 --> 00:13:01,000 Speaker 4: of full force, and we're going to have a problem 225 00:13:01,040 --> 00:13:04,040 Speaker 4: with the unemployment rate going higher. So I think we 226 00:13:04,120 --> 00:13:05,720 Speaker 4: do have to keep in mind that the FED has 227 00:13:05,800 --> 00:13:10,440 Speaker 4: dual mandates and AI might increase productivity in the short term, 228 00:13:10,679 --> 00:13:13,240 Speaker 4: but it also might mean that people are going to 229 00:13:13,240 --> 00:13:18,000 Speaker 4: be you know, look at many countries and regions that 230 00:13:18,080 --> 00:13:23,200 Speaker 4: have had technology disrupt the labor force and really cause chaos. 231 00:13:23,280 --> 00:13:25,360 Speaker 4: So it might be good in the short term, but 232 00:13:25,400 --> 00:13:29,679 Speaker 4: I think long term it could potentially be something that 233 00:13:30,520 --> 00:13:32,280 Speaker 4: people should be concerned about. 234 00:13:33,880 --> 00:13:37,840 Speaker 2: If we could also broaden the conversation to France, because 235 00:13:37,880 --> 00:13:41,679 Speaker 2: it's a really big story. This morning, money managers had 236 00:13:41,720 --> 00:13:45,040 Speaker 2: fretted about the right in France. Now they'll be fretting 237 00:13:45,120 --> 00:13:49,560 Speaker 2: about the left. How should American investors be approaching this? 238 00:13:51,480 --> 00:13:54,520 Speaker 4: It was definitely a surprise. I think everybody was really 239 00:13:54,559 --> 00:14:01,640 Speaker 4: concerned with the right leading, and she actually came in third. 240 00:14:02,480 --> 00:14:05,880 Speaker 4: From what I've seen over the weekend, you know, I 241 00:14:06,480 --> 00:14:09,920 Speaker 4: think the currency is definitely something to watch. You know, 242 00:14:10,000 --> 00:14:13,440 Speaker 4: the dollar has been really strong. The end has been 243 00:14:13,559 --> 00:14:17,520 Speaker 4: very weak, but it is it is a surprise to see. 244 00:14:18,160 --> 00:14:20,360 Speaker 4: That's how how the voters came out. 245 00:14:21,320 --> 00:14:23,400 Speaker 1: Last question before we let you go has to do 246 00:14:23,560 --> 00:14:28,640 Speaker 1: with politics, geopolitics. We referenced the French election. We've got 247 00:14:28,640 --> 00:14:31,920 Speaker 1: an election here in the US in a couple of months. 248 00:14:32,000 --> 00:14:34,360 Speaker 1: I mean, do you have a view what are the 249 00:14:34,720 --> 00:14:37,280 Speaker 1: signals that you're getting when you look at market pricing, 250 00:14:37,280 --> 00:14:40,040 Speaker 1: whether it's the bond market, whether it's the equity market. 251 00:14:40,720 --> 00:14:43,160 Speaker 1: Is there anything that concerns you as we get closer 252 00:14:43,200 --> 00:14:45,800 Speaker 1: to the election, Are you getting signals right now that 253 00:14:45,840 --> 00:14:47,360 Speaker 1: are maybe a little cautionary. 254 00:14:49,080 --> 00:14:53,080 Speaker 4: Well, nobody's worried about the election when you just look 255 00:14:53,120 --> 00:14:57,640 Speaker 4: at the data of the volatility markets, volatility especially things 256 00:14:57,680 --> 00:15:00,480 Speaker 4: like you know, you would expect rate volatility. When we 257 00:15:00,560 --> 00:15:04,720 Speaker 4: started twenty twenty four, we had over six cuts priced 258 00:15:04,720 --> 00:15:07,640 Speaker 4: in from the Fed this year, and those have been 259 00:15:07,720 --> 00:15:11,360 Speaker 4: you know, evaporated over the course of all this strong 260 00:15:11,440 --> 00:15:13,400 Speaker 4: data in the first you know, half of the year, 261 00:15:14,480 --> 00:15:18,880 Speaker 4: so volatility has fallen dramatically. Interest rate ball is down 262 00:15:18,920 --> 00:15:22,920 Speaker 4: about thirty percent year to date, which which really kind of, 263 00:15:23,000 --> 00:15:24,800 Speaker 4: you know, doesn't make a ton of sense when you 264 00:15:24,800 --> 00:15:28,280 Speaker 4: look at the fundamentals and the fiscal situation and even 265 00:15:28,440 --> 00:15:32,480 Speaker 4: you know, there's no election premiums, it's pretty pretty complacent. 266 00:15:32,680 --> 00:15:35,880 Speaker 4: So maybe maybe the news over the weekend with France 267 00:15:36,000 --> 00:15:38,240 Speaker 4: is sort of, you know, going to remind people that 268 00:15:38,320 --> 00:15:42,080 Speaker 4: you can't really predict outcomes and you have to be 269 00:15:42,160 --> 00:15:45,640 Speaker 4: diversified to be prepared for any sort of scenario because 270 00:15:45,640 --> 00:15:47,640 Speaker 4: nobody has a crystal ball. 271 00:15:47,680 --> 00:15:51,480 Speaker 1: Shucks, Nancy, thank you so much for joining us. I 272 00:15:51,600 --> 00:15:54,400 Speaker 1: was hoping that you might have one Nancy Davis, their 273 00:15:54,600 --> 00:15:59,840 Speaker 1: founder portfolio manager at Quadratic Capital Management, joining from Greenwich, Connecticut. 274 00:16:05,600 --> 00:16:09,000 Speaker 2: We're joined by Eric Stirner, chief investment officer at a 275 00:16:09,160 --> 00:16:13,080 Speaker 2: Fallen Wealth Management. So interesting time. The jobs report in 276 00:16:13,080 --> 00:16:17,080 Speaker 2: the US leaves people questioning a little bit the second 277 00:16:17,120 --> 00:16:19,680 Speaker 2: side of the FED mandate. How do you think that 278 00:16:20,040 --> 00:16:23,720 Speaker 2: FED Chief J. Powell will calibrate his arguments in front 279 00:16:23,760 --> 00:16:25,240 Speaker 2: of Congress this week? 280 00:16:26,720 --> 00:16:30,800 Speaker 5: Yeah? Well, thanks for having me. And like you said, 281 00:16:30,840 --> 00:16:35,800 Speaker 5: the FED dual mandate to promote maximum employment and stable 282 00:16:35,840 --> 00:16:39,120 Speaker 5: prices is coming more into balance. Before it was all 283 00:16:39,160 --> 00:16:42,560 Speaker 5: about inflation and the job market is so hot. Now 284 00:16:42,600 --> 00:16:45,520 Speaker 5: we're really seeing some cooling here. And even we've heard 285 00:16:45,560 --> 00:16:48,400 Speaker 5: some FED talk, well much FED talk over the last 286 00:16:48,400 --> 00:16:52,880 Speaker 5: few weeks, and some officials expressing concern about the softening 287 00:16:52,960 --> 00:16:57,520 Speaker 5: labor market. I mean, we see the unemployment rate up 288 00:16:57,520 --> 00:16:59,680 Speaker 5: to four point one percent. You know, it's still a 289 00:16:59,720 --> 00:17:03,160 Speaker 5: great unemployment rate, but the highest has been since October 290 00:17:03,200 --> 00:17:08,000 Speaker 5: twenty twenty one. And even the Jultu report showed one 291 00:17:08,000 --> 00:17:12,040 Speaker 5: point two to job vacancies for every unemployed person in May, 292 00:17:12,080 --> 00:17:14,960 Speaker 5: which is the lowest ratio since twenty twenty one. So 293 00:17:15,560 --> 00:17:18,560 Speaker 5: I think there is more of a balance there. And 294 00:17:19,000 --> 00:17:21,360 Speaker 5: I also think the good news as far as being 295 00:17:21,400 --> 00:17:24,280 Speaker 5: optimistic of potentially two rate cuts for this year, is 296 00:17:24,720 --> 00:17:28,840 Speaker 5: really the lone sticking point in inflation is shelter, and 297 00:17:29,119 --> 00:17:32,919 Speaker 5: Powell's acknowledged the housing shortage that the US has and 298 00:17:33,000 --> 00:17:35,720 Speaker 5: it's going to take years to normalize. So if that's 299 00:17:35,720 --> 00:17:39,480 Speaker 5: the last sticky component, you know, I think that could 300 00:17:39,560 --> 00:17:42,520 Speaker 5: pave the way to two rate cuts later this year. 301 00:17:43,119 --> 00:17:45,320 Speaker 1: Is it possible that the first cut would come as 302 00:17:45,320 --> 00:17:46,160 Speaker 1: soon as September? 303 00:17:46,200 --> 00:17:50,240 Speaker 5: In year view, that's what I believe. I know that 304 00:17:50,600 --> 00:17:54,120 Speaker 5: there's some chatter that we get a great CPI report 305 00:17:54,600 --> 00:17:57,720 Speaker 5: this week that potentially July is back on the table. 306 00:17:58,119 --> 00:18:00,480 Speaker 5: I'm not buying that. I think this as we can 307 00:18:00,520 --> 00:18:03,280 Speaker 5: get one is September and then potentially a second one 308 00:18:03,320 --> 00:18:03,960 Speaker 5: in December. 309 00:18:05,320 --> 00:18:08,120 Speaker 2: So what I was thinking was that maybe we all 310 00:18:08,160 --> 00:18:10,720 Speaker 2: know that Jaypal kind of leans a little bit towards 311 00:18:10,760 --> 00:18:13,439 Speaker 2: the dutish side, but he's had to stay firm and 312 00:18:13,480 --> 00:18:15,600 Speaker 2: the FED has stayed firm the five hundred and fifty 313 00:18:15,600 --> 00:18:17,920 Speaker 2: basis points. He's there and has been there for a 314 00:18:17,960 --> 00:18:21,280 Speaker 2: long time. But it seems like that it's turning now 315 00:18:21,480 --> 00:18:24,119 Speaker 2: and it seems like this week, if he doesn't show 316 00:18:24,760 --> 00:18:31,760 Speaker 2: some likeliness to alter the message that yet rate cuts 317 00:18:31,800 --> 00:18:34,640 Speaker 2: are coming and it might be September, We'll still watch 318 00:18:34,680 --> 00:18:37,720 Speaker 2: the data. What if he doesn't indicate that, I feel like, 319 00:18:37,800 --> 00:18:39,520 Speaker 2: you know, you could you could see some selling in 320 00:18:39,560 --> 00:18:41,720 Speaker 2: the stock market that people would just say, look, the 321 00:18:41,720 --> 00:18:44,080 Speaker 2: Fed's behind the curve. They missed it on the upside, 322 00:18:44,080 --> 00:18:45,680 Speaker 2: they're going to miss it on the downside. 323 00:18:46,960 --> 00:18:50,440 Speaker 5: Yeah, that's certainly the fear in the markets right now 324 00:18:50,560 --> 00:18:55,040 Speaker 5: because I mean, we're seeing retail sales cool, consumer spending cool, 325 00:18:55,560 --> 00:18:58,520 Speaker 5: and I think there is you know, some concerns out 326 00:18:58,560 --> 00:19:01,520 Speaker 5: there and at that it's going to hold on tighter 327 00:19:01,720 --> 00:19:04,160 Speaker 5: than it does and that's it doesn't have a great 328 00:19:04,200 --> 00:19:09,640 Speaker 5: track record as far as executing a soft landing. Uh. 329 00:19:10,119 --> 00:19:12,240 Speaker 5: I think Pale is also kind of trying to learn 330 00:19:12,280 --> 00:19:15,119 Speaker 5: from some of the mistakes I call the mistakes in 331 00:19:15,160 --> 00:19:18,720 Speaker 5: the past that you know, anytime he's said anything over 332 00:19:18,720 --> 00:19:21,800 Speaker 5: the last year and a half that's slightly dubbished, the 333 00:19:21,880 --> 00:19:25,160 Speaker 5: markets sometimes could just take off with that and and 334 00:19:25,200 --> 00:19:27,919 Speaker 5: really loosing financial conditions. So I think he's trying to 335 00:19:27,960 --> 00:19:31,720 Speaker 5: balance that too and hold his cards tight just uh, 336 00:19:31,840 --> 00:19:34,959 Speaker 5: for for that reason, But it will be interesting to 337 00:19:35,000 --> 00:19:38,320 Speaker 5: hear more comments directly from Powell. I think Powell does 338 00:19:38,359 --> 00:19:42,680 Speaker 5: want to cut rates in September, and you know, the 339 00:19:42,960 --> 00:19:45,280 Speaker 5: data will will tell the story. But clearly the last 340 00:19:45,359 --> 00:19:48,800 Speaker 5: few months, even though we had a few unexpected surprises 341 00:19:48,800 --> 00:19:51,600 Speaker 5: of the upside and inflation in the first quarter, we've 342 00:19:51,640 --> 00:19:54,879 Speaker 5: seen a lot of uh, you know, cooler inflation reports 343 00:19:54,880 --> 00:19:58,040 Speaker 5: and cooler labor market reports to go along with it. 344 00:19:58,119 --> 00:20:00,240 Speaker 5: So I think, uh, I think we are definitely set 345 00:20:00,320 --> 00:20:03,560 Speaker 5: up to the first cut coming in September. 346 00:20:03,800 --> 00:20:05,879 Speaker 1: So you're a wealth manager and I'm going to bet 347 00:20:05,880 --> 00:20:08,480 Speaker 1: to that most of your clients are higher net worth. 348 00:20:08,880 --> 00:20:11,119 Speaker 1: What's the signal that you're getting as we get closer 349 00:20:11,119 --> 00:20:14,560 Speaker 1: to this election, particularly everything that's been in the news 350 00:20:14,600 --> 00:20:16,560 Speaker 1: now after that presidential debate. 351 00:20:17,960 --> 00:20:22,959 Speaker 5: Yeah, well, what I tend to tell my clients is election. 352 00:20:23,080 --> 00:20:26,800 Speaker 5: The stock market performance in election years is right on 353 00:20:26,920 --> 00:20:30,919 Speaker 5: par with its performance in non election years. But but 354 00:20:31,000 --> 00:20:36,119 Speaker 5: the one consistent characteristic that election years have is the 355 00:20:37,200 --> 00:20:40,399 Speaker 5: elevated volatility, and we haven't really seen that in equity markets. 356 00:20:40,400 --> 00:20:42,239 Speaker 5: We've seen that in the fixed income markets, but not 357 00:20:42,280 --> 00:20:45,200 Speaker 5: in equity market so far this year. And I think 358 00:20:45,240 --> 00:20:47,880 Speaker 5: we are going to see increased volatility. I think we're 359 00:20:47,880 --> 00:20:50,679 Speaker 5: starting to see that now. And even you know, after 360 00:20:50,720 --> 00:20:53,800 Speaker 5: that last debate, we saw our treasury yields go up 361 00:20:53,840 --> 00:20:59,520 Speaker 5: because concerns about the potentially Trump's tax cuts and increased spending. 362 00:20:59,640 --> 00:21:04,080 Speaker 5: Not that either candidate really has an answer to the 363 00:21:04,119 --> 00:21:07,920 Speaker 5: growing deficit, but I just remind my clients that that 364 00:21:08,080 --> 00:21:11,199 Speaker 5: you know, there's gonna it's gonna be bumpy, but but 365 00:21:11,400 --> 00:21:14,960 Speaker 5: typically the market will take off after November, but you 366 00:21:15,040 --> 00:21:18,720 Speaker 5: spend that uncertainty is behind us. So I just tell 367 00:21:18,760 --> 00:21:20,919 Speaker 5: them to stay disciplined to their plan and try to 368 00:21:21,040 --> 00:21:25,200 Speaker 5: uh keep their political views in the in the voting polls. 369 00:21:24,920 --> 00:21:29,360 Speaker 2: And even if even if August is sometimes a rough period. 370 00:21:29,760 --> 00:21:32,560 Speaker 2: Uh So, you know, the AI trade has been one 371 00:21:32,560 --> 00:21:34,720 Speaker 2: of the biggest themes of the year. We've had plenty 372 00:21:34,720 --> 00:21:37,560 Speaker 2: of days lately where Nvidia has been selling off because 373 00:21:37,560 --> 00:21:40,159 Speaker 2: of AI, and you know, Apple and Amazon have been 374 00:21:40,160 --> 00:21:43,879 Speaker 2: gaining because of AI. Uh So, you know, it shows 375 00:21:43,880 --> 00:21:46,240 Speaker 2: that people are are quite unsure here. How do you 376 00:21:46,240 --> 00:21:47,000 Speaker 2: feel about AI? 377 00:21:48,359 --> 00:21:51,400 Speaker 5: Yeah, I mean, it's it's an incredible story and it's 378 00:21:51,520 --> 00:21:55,320 Speaker 5: going to really increase productivity across so many different sectors, 379 00:21:55,359 --> 00:21:58,840 Speaker 5: and it's carried the market for the last, you know, 380 00:21:59,520 --> 00:22:03,000 Speaker 5: eighteen months, and I think it's important to maintain some 381 00:22:03,080 --> 00:22:07,240 Speaker 5: exposure to those megatacks. But the good news is that 382 00:22:07,600 --> 00:22:09,400 Speaker 5: I think we're going to see a lot more broadening 383 00:22:09,560 --> 00:22:10,119 Speaker 5: in the market. 384 00:22:10,280 --> 00:22:13,920 Speaker 2: Eric Sterner, a Chief investment officer at a Pollen Wealth Management. 385 00:22:15,720 --> 00:22:18,639 Speaker 1: This has been the Bloomberg Daybreak Asia podcast, bringing you 386 00:22:18,720 --> 00:22:21,840 Speaker 1: the stories making news and moving markets in the Asia Pacific. 387 00:22:22,320 --> 00:22:25,440 Speaker 1: Visit the Bloomberg Podcast channel on YouTube to get more 388 00:22:25,480 --> 00:22:29,080 Speaker 1: episodes of this and other shows from Bloomberg. Subscribe to 389 00:22:29,119 --> 00:22:32,919 Speaker 1: the podcast on Apple, Spotify, or anywhere else you listen, 390 00:22:33,000 --> 00:22:36,080 Speaker 1: and always on Bloomberg Radio, the Bloomberg Terminal, and the 391 00:22:36,119 --> 00:22:37,200 Speaker 1: Bloomberg Business App.