1 00:00:02,440 --> 00:00:09,119 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:09,160 --> 00:00:13,280 Speaker 1: Bloomberg Intelligence podcast. Catch us live weekdays at ten am 3 00:00:13,360 --> 00:00:15,800 Speaker 1: Eastern on Affle Card Playing and Broud Auto with the 4 00:00:15,840 --> 00:00:19,759 Speaker 1: Bloomberg Business app. Listen on demand wherever you get your podcasts, 5 00:00:19,960 --> 00:00:23,480 Speaker 1: or watch us live on YouTube. 6 00:00:23,120 --> 00:00:26,279 Speaker 2: Worn Buffett and Berkshire have I recording some earnings over 7 00:00:26,320 --> 00:00:28,920 Speaker 2: the weekend. The question I always have is how much 8 00:00:28,920 --> 00:00:30,160 Speaker 2: cash do they have on their balantie? 9 00:00:30,160 --> 00:00:33,479 Speaker 3: Everybody always wants to watch that as a contrarian potential indicator. 10 00:00:33,640 --> 00:00:35,120 Speaker 2: Yeah, I just I just don't know what's going on 11 00:00:35,200 --> 00:00:38,239 Speaker 2: over there. But our next guest does. Matt Pelosola. He's 12 00:00:38,280 --> 00:00:41,479 Speaker 2: seen around us covering the insurance business for Bloomberg Intelligence 13 00:00:41,520 --> 00:00:44,480 Speaker 2: during us here in a Bloomberg Interactive Brokers studio, Matt, 14 00:00:44,479 --> 00:00:47,680 Speaker 2: wou'd you take away from the Berkshire's results on Saturday? 15 00:00:48,360 --> 00:00:50,680 Speaker 4: So pult to answer your first question. Three hundred and 16 00:00:50,680 --> 00:00:54,120 Speaker 4: twenty five billion dollars in cash. That's the most they've 17 00:00:54,120 --> 00:00:58,480 Speaker 4: ever had. So when you look at their earnings, there's 18 00:00:58,520 --> 00:01:02,800 Speaker 4: a couple of layers you have to unpeel. First, their 19 00:01:02,840 --> 00:01:08,320 Speaker 4: gap earnings were swayed by investment changes. Buffett himself has said, 20 00:01:08,319 --> 00:01:09,759 Speaker 4: you kind of just throw that out. We don't really 21 00:01:09,800 --> 00:01:11,840 Speaker 4: look at that. It was like twenty six I think 22 00:01:11,880 --> 00:01:14,399 Speaker 4: billion versus an eleven billion loss in the year ago. 23 00:01:14,959 --> 00:01:18,200 Speaker 4: Those numbers are a little bit irrelevant. The next part 24 00:01:18,360 --> 00:01:21,759 Speaker 4: is their earnings from operating companies. Those, if you look 25 00:01:21,760 --> 00:01:23,440 Speaker 4: at just the number they give you, those were down 26 00:01:23,480 --> 00:01:26,720 Speaker 4: about six percent. What happened there, though, was they have 27 00:01:27,360 --> 00:01:29,600 Speaker 4: a lot of yen debt and there was a big 28 00:01:29,640 --> 00:01:33,240 Speaker 4: four x loss in there, so peel that back. The 29 00:01:33,360 --> 00:01:36,760 Speaker 4: operating companies earnings were up a little bit, which was 30 00:01:36,840 --> 00:01:42,640 Speaker 4: less than I expected. The insurance operation had a couple 31 00:01:42,640 --> 00:01:46,760 Speaker 4: of unforeseen negatives in it, and that really turned it down. 32 00:01:47,319 --> 00:01:50,080 Speaker 4: Some of them I don't think are ongoing things, but 33 00:01:50,160 --> 00:01:52,560 Speaker 4: that was really the negative variance was in the insurance 34 00:01:52,600 --> 00:01:53,960 Speaker 4: business something. 35 00:01:54,120 --> 00:01:56,520 Speaker 3: Because we were actually chatting about this earlier. When it 36 00:01:56,560 --> 00:01:59,680 Speaker 3: came to the percent of their cash pilot Berkshire Hathaway 37 00:02:00,080 --> 00:02:02,040 Speaker 3: last time it was around this high. The stock market 38 00:02:02,080 --> 00:02:05,040 Speaker 3: to continued to move on to records over the following 39 00:02:05,040 --> 00:02:07,320 Speaker 3: fifty two weeks, but then the last time on this 40 00:02:07,440 --> 00:02:10,200 Speaker 3: opposite into that the lowest percent of cash he had 41 00:02:10,600 --> 00:02:12,560 Speaker 3: at any time over the past decade was right when 42 00:02:12,560 --> 00:02:15,320 Speaker 3: the S and P five hundred briefly peeged in twenty 43 00:02:15,360 --> 00:02:18,560 Speaker 3: twenty one. So what's your thoughts when ever, you're kind 44 00:02:18,560 --> 00:02:20,880 Speaker 3: of thinking about what this could mean more broadly for 45 00:02:20,960 --> 00:02:24,160 Speaker 3: where like major indexes and equities could potentially be headed. 46 00:02:24,240 --> 00:02:27,720 Speaker 4: Yeah, So, I mean Buffett is a more of a 47 00:02:27,840 --> 00:02:31,160 Speaker 4: time in than timing of the market right clearly, So, 48 00:02:32,840 --> 00:02:37,920 Speaker 4: I don't think he's making big moves on large expectations 49 00:02:37,960 --> 00:02:39,480 Speaker 4: on the market. If you look what happened, they sold 50 00:02:39,560 --> 00:02:42,120 Speaker 4: about twenty two billion dollars worth of Apple stock in 51 00:02:42,120 --> 00:02:45,600 Speaker 4: the quarter. That's along with about nine and a half 52 00:02:45,680 --> 00:02:47,880 Speaker 4: billion worth of Bank of America stock in the quarter. 53 00:02:49,800 --> 00:02:51,360 Speaker 4: I don't think you look at that and say, Okay, 54 00:02:51,360 --> 00:02:53,760 Speaker 4: he's completely parish on everything in the market. I think 55 00:02:53,800 --> 00:02:57,000 Speaker 4: those were, you know, unique things. They were highly concentrated 56 00:02:57,000 --> 00:03:00,440 Speaker 4: in Apple. Their Apple position is down seventy percent from 57 00:03:00,520 --> 00:03:03,880 Speaker 4: its high in terms of the shares they own, so 58 00:03:04,280 --> 00:03:07,360 Speaker 4: I think those things were unique to the stocks they own. 59 00:03:07,800 --> 00:03:11,040 Speaker 4: Buffett has repeatedly talked about taxes going up. I don't 60 00:03:11,040 --> 00:03:14,720 Speaker 4: think it's even an election cycle now, but he's just 61 00:03:14,720 --> 00:03:18,560 Speaker 4: saying even longer term, there's probably only one direction taxes 62 00:03:18,600 --> 00:03:21,640 Speaker 4: are going for us and that's up, so you'd not 63 00:03:21,760 --> 00:03:24,400 Speaker 4: be surprised to see them taking large gains off the board. 64 00:03:25,240 --> 00:03:27,640 Speaker 2: So three and twenty five billion dollars, is there any 65 00:03:27,800 --> 00:03:32,760 Speaker 2: realistic scenario for deploying that capital over a multi year period. 66 00:03:32,960 --> 00:03:35,280 Speaker 4: You know, it's tough. They are limited in how much 67 00:03:35,280 --> 00:03:37,600 Speaker 4: shares they can buy back just on the float. 68 00:03:39,040 --> 00:03:39,720 Speaker 2: We had wrote. 69 00:03:40,240 --> 00:03:43,080 Speaker 4: You know, it's tough to see them doing a tens 70 00:03:43,080 --> 00:03:47,520 Speaker 4: of billion dollar acquisition. There is the ownership in Chubb 71 00:03:47,560 --> 00:03:51,200 Speaker 4: out there, which is, you know, perhaps the megadeal that 72 00:03:51,320 --> 00:03:55,520 Speaker 4: may or may not ever happen if they do something. 73 00:03:55,600 --> 00:03:57,760 Speaker 4: They bought Allegheny, which was an insurance company kind of 74 00:03:57,760 --> 00:03:59,560 Speaker 4: conglomerate a couple of years ago. That was about twelve 75 00:03:59,560 --> 00:04:02,520 Speaker 4: billion dollar. It seems like that's going to be the 76 00:04:02,520 --> 00:04:05,280 Speaker 4: max on what they're going to do. But if I 77 00:04:05,280 --> 00:04:06,960 Speaker 4: could predict a Buffett would do, I'd be on an 78 00:04:07,000 --> 00:04:07,680 Speaker 4: island somewhere. 79 00:04:07,760 --> 00:04:09,600 Speaker 2: So but no dividend. 80 00:04:10,400 --> 00:04:12,360 Speaker 4: There will not be a dividend as long as Warren 81 00:04:12,360 --> 00:04:14,920 Speaker 4: Buffett is sitting in all is that. I mean, I 82 00:04:15,000 --> 00:04:17,760 Speaker 4: think he likes getting them, he doesn't like paying them. 83 00:04:17,800 --> 00:04:21,480 Speaker 4: He says, you know, look, I and I would agree 84 00:04:21,520 --> 00:04:24,919 Speaker 4: with him. I'm better off holding this money than giving it. 85 00:04:25,000 --> 00:04:26,880 Speaker 4: Your return on a divid end is going to be 86 00:04:26,960 --> 00:04:30,160 Speaker 4: less than my return investing it. That probably hasn't been 87 00:04:30,200 --> 00:04:33,240 Speaker 4: true actually recently, but I think that's his mindset. 88 00:04:33,440 --> 00:04:35,600 Speaker 3: You were mentioning about how claims they were years ago 89 00:04:35,680 --> 00:04:38,720 Speaker 3: are costing them more than expected. Walk us through that dynamic. 90 00:04:38,839 --> 00:04:42,000 Speaker 4: Sure, So this is called reserve development. So what happens 91 00:04:42,120 --> 00:04:45,719 Speaker 4: is insurance companies like so for example, Geico, they write auto, 92 00:04:45,960 --> 00:04:47,960 Speaker 4: some home, well not really home, but they'll write auto. 93 00:04:48,520 --> 00:04:50,160 Speaker 4: You're either going to have a car accident in a 94 00:04:50,240 --> 00:04:53,160 Speaker 4: year or you're not. But they'll write some liability business 95 00:04:53,240 --> 00:04:56,280 Speaker 4: where you may have a claim, and that you might 96 00:04:56,320 --> 00:04:59,240 Speaker 4: find out that I claim years into the future. And 97 00:05:00,080 --> 00:05:02,320 Speaker 4: what is happening is you set up a reserve for that, 98 00:05:02,360 --> 00:05:05,880 Speaker 4: and that reserve could be wrong or they're almost always 99 00:05:05,880 --> 00:05:08,080 Speaker 4: wrong right, but it could be wrong too low or 100 00:05:08,080 --> 00:05:11,120 Speaker 4: wrong too high. And what had happened in the quarter 101 00:05:11,279 --> 00:05:15,520 Speaker 4: was those were their reserve for their primary insurance business. 102 00:05:15,920 --> 00:05:19,640 Speaker 4: A specific unit of it was quite wrong, and there's 103 00:05:19,800 --> 00:05:22,360 Speaker 4: there's new management took over that unit, and usually when 104 00:05:22,360 --> 00:05:25,520 Speaker 4: that happens, they add to their reserves. If this was 105 00:05:25,560 --> 00:05:27,960 Speaker 4: If this was just a you know, X Y Z 106 00:05:28,120 --> 00:05:31,880 Speaker 4: insurance company, this would be really bad. But it's Berkshire. 107 00:05:31,880 --> 00:05:35,240 Speaker 4: Their financial strength is so superior to anything you might 108 00:05:35,320 --> 00:05:37,719 Speaker 4: see that it's kind of just a blip. 109 00:05:38,800 --> 00:05:47,840 Speaker 2: I got a invest with Scooter Progressive. Progressive wrote the policy. 110 00:05:46,160 --> 00:05:47,119 Speaker 4: I always wear a helmet. 111 00:05:47,200 --> 00:05:50,080 Speaker 2: That's all I do. Have the helmet. Progressive. Give me 112 00:05:50,120 --> 00:05:52,120 Speaker 2: thirty seconds on Progressive, because so far I'm happy with 113 00:05:52,200 --> 00:05:52,640 Speaker 2: the Yeah. 114 00:05:52,680 --> 00:05:53,200 Speaker 5: I mean, so. 115 00:05:54,839 --> 00:05:58,520 Speaker 4: Berkshire themselves has kind of been saying Progressives eight our 116 00:05:58,600 --> 00:06:03,920 Speaker 4: lunch for the past, you know. Progressive extremely innovative in pricing, 117 00:06:04,640 --> 00:06:06,919 Speaker 4: which allowed them to kind of take a lot of 118 00:06:06,960 --> 00:06:09,160 Speaker 4: market share. State Farms is kind of the big name 119 00:06:09,160 --> 00:06:10,840 Speaker 4: there in auto insurance, and they all State has just 120 00:06:10,880 --> 00:06:13,600 Speaker 4: been picking away, I mean not all State. Progressive has 121 00:06:13,640 --> 00:06:16,559 Speaker 4: been picking away at them the recent spike in auto 122 00:06:16,600 --> 00:06:19,479 Speaker 4: insurance prices. They navigated that a lot better than the 123 00:06:19,480 --> 00:06:21,760 Speaker 4: rest of the industry, which is allowing them to pull 124 00:06:21,839 --> 00:06:26,960 Speaker 4: more share. Geico is shrinking, Progressives growing really best operator 125 00:06:26,960 --> 00:06:28,000 Speaker 4: in the auto insurance space. 126 00:06:28,040 --> 00:06:31,640 Speaker 2: Progressive and actually Choice, my existing insurer, I've got like 127 00:06:31,720 --> 00:06:35,120 Speaker 2: five thousand lines with their pricing was twice where Progressive 128 00:06:35,200 --> 00:06:35,840 Speaker 2: was so I just. 129 00:06:35,800 --> 00:06:36,280 Speaker 3: Like see you. 130 00:06:36,920 --> 00:06:38,560 Speaker 4: They don't know how good of a risk you are. 131 00:06:38,440 --> 00:06:41,680 Speaker 2: Exactly right me the vest mouscooter's cruising the Jersey short 132 00:06:41,720 --> 00:06:44,400 Speaker 2: John Tucker, What that's a view? This is Blonimer. 133 00:06:44,480 --> 00:06:46,839 Speaker 3: You see him, Come and get out of the way. 134 00:06:47,400 --> 00:06:51,279 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 135 00:06:51,360 --> 00:06:54,880 Speaker 1: weekdays at ten am Eastern on applecard Play and Android 136 00:06:54,920 --> 00:06:57,679 Speaker 1: Auto with the Bloomberg Business app. You can also listen 137 00:06:57,800 --> 00:07:00,880 Speaker 1: live on Amazon Alexa from our flagsh New York station 138 00:07:01,240 --> 00:07:04,000 Speaker 1: Just say Alexa playing Bloomberg eleven thirty. 139 00:07:05,040 --> 00:07:07,040 Speaker 2: All right, Jess Metton sitting in for Alex Steel on 140 00:07:07,080 --> 00:07:09,200 Speaker 2: Paul Sweeney. You're live here on a Bloomberg Interactive Brokers 141 00:07:09,240 --> 00:07:12,040 Speaker 2: studio streaming live as well on YouTube dot com. So 142 00:07:12,080 --> 00:07:16,760 Speaker 2: search there for Bloomberg podcast. The election tomorrow obviously one 143 00:07:16,800 --> 00:07:19,320 Speaker 2: of the key issues driving this market for some time. 144 00:07:19,400 --> 00:07:22,440 Speaker 2: It's got the latest analysis here. Mayo Wiley joins us. 145 00:07:22,480 --> 00:07:25,560 Speaker 2: She's president and CEO of the Leadership Conference on Civil 146 00:07:25,600 --> 00:07:29,480 Speaker 2: and Human Rights. Joining us if head that zoom thing here, 147 00:07:29,520 --> 00:07:32,280 Speaker 2: so it comes in handy, Mayo, thank you so much 148 00:07:32,320 --> 00:07:34,840 Speaker 2: for joining us here. I guess what we hear from 149 00:07:35,280 --> 00:07:37,480 Speaker 2: you know a lot of the experts is this is 150 00:07:37,960 --> 00:07:40,080 Speaker 2: too close to call. What are you hearing from some 151 00:07:40,120 --> 00:07:42,320 Speaker 2: of the folks that you talk to. 152 00:07:43,720 --> 00:07:46,800 Speaker 6: Well, certainly, what we know is that voters are going 153 00:07:46,880 --> 00:07:51,640 Speaker 6: to decide the outcome of this election and absolutely cannot 154 00:07:52,160 --> 00:07:53,920 Speaker 6: predict based on the polls. 155 00:07:54,040 --> 00:07:56,800 Speaker 7: What we can say is what we're seeing in. 156 00:07:56,800 --> 00:08:01,040 Speaker 6: The absolute enthusiasm to show up to these holes, even 157 00:08:01,040 --> 00:08:03,800 Speaker 6: in early voting. As we know, election day is tomorrow, 158 00:08:04,360 --> 00:08:08,800 Speaker 6: but I was in Pennsylvania on Saturday where thousands of 159 00:08:08,840 --> 00:08:10,800 Speaker 6: doors were being knocked all over the state. 160 00:08:11,760 --> 00:08:13,800 Speaker 7: Lots of high levels. 161 00:08:13,520 --> 00:08:17,400 Speaker 6: Of turnout across not just Pennsylvania, but other states. We're 162 00:08:17,440 --> 00:08:22,480 Speaker 6: hearing already for Detroit, Michigan, for example, fifty one percent 163 00:08:22,560 --> 00:08:26,080 Speaker 6: turnout for early voting. Michigan is also one of those 164 00:08:26,080 --> 00:08:30,120 Speaker 6: states that has same day registration, meaning people can show 165 00:08:30,200 --> 00:08:32,400 Speaker 6: up at the polls and register to vote and then 166 00:08:32,520 --> 00:08:37,240 Speaker 6: vote tomorrow. So what our own Civil Rights monitor polling 167 00:08:37,320 --> 00:08:40,480 Speaker 6: showed in September that the Leadership Conference did with Brilliant 168 00:08:40,480 --> 00:08:44,800 Speaker 6: Corners was enthusiasm is high on all sides in this 169 00:08:44,880 --> 00:08:47,800 Speaker 6: election and seeing that at the polls. 170 00:08:48,360 --> 00:08:50,760 Speaker 3: Talk to us Maya about what the mood is like 171 00:08:50,880 --> 00:08:55,240 Speaker 3: in some of these key states in these battleground areas well. 172 00:08:55,280 --> 00:08:57,760 Speaker 6: You know, I've been to Milwaukee, I've been to Detroit, 173 00:08:57,840 --> 00:09:02,000 Speaker 6: I was in Pennsylvania. I think the mood is everything 174 00:09:02,200 --> 00:09:06,000 Speaker 6: from completely motivated for folks to show up and have 175 00:09:06,120 --> 00:09:10,280 Speaker 6: their voices heard at the polls, and anxiety. I mean, 176 00:09:10,320 --> 00:09:13,720 Speaker 6: the anxiety is understandable. There is a lot at stake 177 00:09:13,840 --> 00:09:16,280 Speaker 6: in this election. People are feeling it. You know. 178 00:09:16,320 --> 00:09:17,679 Speaker 7: There's also been the. 179 00:09:17,400 --> 00:09:22,280 Speaker 6: Reality of disinformation and the flood both from foreign governments 180 00:09:22,440 --> 00:09:26,840 Speaker 6: like Russia, like China, like Iran trying to sow division 181 00:09:26,960 --> 00:09:32,840 Speaker 6: and confusion, and sadly, some political leaders, some organizational leaders, 182 00:09:32,960 --> 00:09:36,880 Speaker 6: some politicians picking up on that disinformation. So a lot 183 00:09:36,920 --> 00:09:39,840 Speaker 6: of work on the ground across the country to make 184 00:09:39,840 --> 00:09:42,560 Speaker 6: sure that voters know where to vote, how to vote, 185 00:09:42,640 --> 00:09:46,800 Speaker 6: and that their votes count and will be counted. Because 186 00:09:46,840 --> 00:09:51,720 Speaker 6: we do have an exceptionally impressive election system in this 187 00:09:51,800 --> 00:09:54,040 Speaker 6: country we should be proud of and that's a big 188 00:09:54,080 --> 00:09:56,560 Speaker 6: part of the work that people are doing on the ground. 189 00:09:57,320 --> 00:10:00,240 Speaker 2: And Miley, a lot of experts are telling them to 190 00:10:00,360 --> 00:10:02,600 Speaker 2: really be mindful of the turnout, that turnouts can be 191 00:10:02,600 --> 00:10:06,559 Speaker 2: really critical for both sides. Actually, what's your understanding of 192 00:10:07,240 --> 00:10:10,760 Speaker 2: maybe is one side better equipped to get the you know, 193 00:10:10,800 --> 00:10:12,120 Speaker 2: the word out in the turnout going. 194 00:10:13,320 --> 00:10:15,960 Speaker 6: Well, look, certainly it's a turnout election. I would argue 195 00:10:16,000 --> 00:10:18,679 Speaker 6: all elections are actually turnout elections. 196 00:10:18,760 --> 00:10:21,079 Speaker 7: When voters show up, they decide who lead us. 197 00:10:21,080 --> 00:10:23,480 Speaker 6: And so the more voters who show up, the more 198 00:10:23,520 --> 00:10:26,160 Speaker 6: we have a true reading of the country. The voter 199 00:10:26,320 --> 00:10:30,560 Speaker 6: motivation is very high. Turnout is exceptionally high. We're already 200 00:10:30,600 --> 00:10:36,680 Speaker 6: seeing numbers of turnout that are historic. They're approaching twenty 201 00:10:36,760 --> 00:10:40,560 Speaker 6: twenty numbers. Remember President Joe Biden won the most number 202 00:10:40,600 --> 00:10:43,040 Speaker 6: of votes of any president for over one hundred years 203 00:10:43,040 --> 00:10:45,840 Speaker 6: of voting history. This is on part of a historic 204 00:10:45,880 --> 00:10:49,400 Speaker 6: turnout election. I think the point about who does that benefit? 205 00:10:49,800 --> 00:10:53,120 Speaker 7: I mean both sides, all sides are showing up. 206 00:10:53,240 --> 00:10:57,040 Speaker 6: The real question is what do voters want and what's 207 00:10:57,080 --> 00:10:59,719 Speaker 6: a stake? And how many of these voters are new 208 00:10:59,840 --> 00:11:02,840 Speaker 6: votvoters or voters who did not show up in twenty 209 00:11:02,920 --> 00:11:05,520 Speaker 6: twenty or in twenty twenty two. A lot of the 210 00:11:05,600 --> 00:11:08,320 Speaker 6: get out the vote work has been focused in the 211 00:11:08,320 --> 00:11:11,920 Speaker 6: civil rights community and certainly by US at the Leadership Conference, 212 00:11:12,240 --> 00:11:16,440 Speaker 6: of making sure those people who can vote know where 213 00:11:16,480 --> 00:11:19,720 Speaker 6: and how to vote and feel that their vote matters 214 00:11:19,760 --> 00:11:22,840 Speaker 6: and will count, and that's why I think we're seeing 215 00:11:22,920 --> 00:11:24,880 Speaker 6: high turnout as people are feeling that. 216 00:11:25,040 --> 00:11:28,880 Speaker 3: Whenever you're speaking anecdotal lead to Americans across the country, 217 00:11:29,000 --> 00:11:31,800 Speaker 3: what is more specific when it comes to policy proposals 218 00:11:31,840 --> 00:11:33,800 Speaker 3: do they constantly keep bringing up to you? 219 00:11:34,920 --> 00:11:39,800 Speaker 6: Look, people are very concerned obviously about everything from the 220 00:11:39,840 --> 00:11:44,160 Speaker 6: state of our democracy and our freedoms, particularly abortion, but 221 00:11:44,679 --> 00:11:49,400 Speaker 6: in communities of color, criminal justice reform is a huge issue. 222 00:11:49,080 --> 00:11:50,040 Speaker 5: As is education. 223 00:11:50,600 --> 00:11:52,720 Speaker 6: But I think we also know that across the board, 224 00:11:52,880 --> 00:11:55,520 Speaker 6: costs are an issue. And you know, one of the 225 00:11:55,559 --> 00:11:58,719 Speaker 6: things that's been so clear in this campaign is, you know, 226 00:11:58,840 --> 00:12:02,600 Speaker 6: when Kamala Harris speaks about the fact that she is 227 00:12:02,640 --> 00:12:05,080 Speaker 6: not going to drive up the cost of groceries, but 228 00:12:05,160 --> 00:12:12,080 Speaker 6: Donald Trump obviously talking less about costs and more casting aspersions. 229 00:12:12,160 --> 00:12:15,000 Speaker 6: I mean, people are really trying to listen for how 230 00:12:15,120 --> 00:12:19,160 Speaker 6: is my life going to be better? And they're responding 231 00:12:19,280 --> 00:12:22,840 Speaker 6: to where and how They're hearing very clear messages about 232 00:12:22,880 --> 00:12:26,640 Speaker 6: what things they would see and feel in their own 233 00:12:26,679 --> 00:12:29,920 Speaker 6: households and communities. I think that's also why we're seeing 234 00:12:30,000 --> 00:12:33,760 Speaker 6: so many women vote because abortion and access to abortion 235 00:12:33,920 --> 00:12:37,960 Speaker 6: as an issue of healthcare. Reproductive freedom is not just 236 00:12:38,040 --> 00:12:40,520 Speaker 6: reproductive freedom, it's also the ability to get the care 237 00:12:40,600 --> 00:12:43,400 Speaker 6: you need, including if your life is in danger. And 238 00:12:43,440 --> 00:12:46,760 Speaker 6: we're seeing that as a huge motivator and topic of discussion, 239 00:12:47,080 --> 00:12:48,840 Speaker 6: and I think that's part of why we're seeing what 240 00:12:48,880 --> 00:12:53,040 Speaker 6: we saw in that Iowa poll, which showed frankly, that 241 00:12:53,120 --> 00:12:55,440 Speaker 6: women were turning out in droves, and we've seen that 242 00:12:55,640 --> 00:12:59,000 Speaker 6: gender gap so many women engaged in the selection, and. 243 00:12:58,920 --> 00:13:01,760 Speaker 2: That is a big reason, right, Maya, thank you so 244 00:13:01,840 --> 00:13:04,200 Speaker 2: much for joining us. We really appreciate getting some of 245 00:13:04,240 --> 00:13:07,120 Speaker 2: your time. Maya Wiley, she's a president and CEO of 246 00:13:07,120 --> 00:13:10,800 Speaker 2: the Leadership Conference on Civil and Human Rights, giving us 247 00:13:11,040 --> 00:13:15,040 Speaker 2: her peview of again the selection for tomorrow. 248 00:13:15,520 --> 00:13:19,400 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 249 00:13:19,480 --> 00:13:22,199 Speaker 1: weekdays at ten am Eastern on Apple car Playing and 250 00:13:22,320 --> 00:13:25,200 Speaker 1: broun Otto with the Bloomberg Business app. Listen on demand 251 00:13:25,240 --> 00:13:29,559 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 252 00:13:30,679 --> 00:13:34,240 Speaker 2: Katie Kaminski joins us. She's a chief research strategist and 253 00:13:34,320 --> 00:13:40,199 Speaker 2: portfolio managed Alpha Simplex Group, joining us via that Zoom thing. Katie, 254 00:13:41,600 --> 00:13:44,720 Speaker 2: when you look at the markets broadly defined here, what 255 00:13:44,800 --> 00:13:47,440 Speaker 2: are they kind of telling me about the next twenty 256 00:13:47,440 --> 00:13:49,440 Speaker 2: four forty eight hours, or do you just try to 257 00:13:49,520 --> 00:13:52,800 Speaker 2: power through all that stuff and think about longer term? 258 00:13:53,280 --> 00:13:54,480 Speaker 7: Oh, this is tricky. 259 00:13:54,520 --> 00:13:56,640 Speaker 8: I mean, I'd say that as a trend fuller, we 260 00:13:56,760 --> 00:13:58,800 Speaker 8: tend to think about holding the course. 261 00:13:59,440 --> 00:14:00,679 Speaker 7: But it's really hard. 262 00:14:00,760 --> 00:14:03,520 Speaker 8: I mean, you're seeing today some reversal of trends that 263 00:14:03,559 --> 00:14:07,240 Speaker 8: have been following from the last month. Really, yields have 264 00:14:07,400 --> 00:14:10,040 Speaker 8: moved so much, yields have moved so much higher. 265 00:14:10,920 --> 00:14:12,440 Speaker 7: You're seeing the reversal of that today. 266 00:14:12,600 --> 00:14:14,720 Speaker 8: You've seen the dollar had been sort of on a 267 00:14:14,760 --> 00:14:17,079 Speaker 8: tear and then now as reverting again. 268 00:14:17,320 --> 00:14:20,240 Speaker 7: So there's just a lot of uncertainty in the short term. 269 00:14:20,320 --> 00:14:24,280 Speaker 8: So actually powering through is probably a better way to 270 00:14:24,320 --> 00:14:26,000 Speaker 8: sort of handle all of this volatility. 271 00:14:26,320 --> 00:14:28,640 Speaker 3: Katie, I wanted to pick your brain about poly market 272 00:14:28,680 --> 00:14:30,400 Speaker 3: because we've seen it a bit all over the place 273 00:14:30,440 --> 00:14:33,560 Speaker 3: in recent weeks, sometimes favoring at Trump, whereas over the 274 00:14:33,560 --> 00:14:35,680 Speaker 3: weekend you started to see that narrow out and begin 275 00:14:35,760 --> 00:14:40,080 Speaker 3: to favor Harris instead. So as a trading kind of strategy, 276 00:14:40,160 --> 00:14:43,720 Speaker 3: why would an investor use them for a trading strategy 277 00:14:43,720 --> 00:14:46,680 Speaker 3: over polls? And why are they using a betting website 278 00:14:46,680 --> 00:14:49,640 Speaker 3: over polling for judging sentiment because obviously, as we know, 279 00:14:49,800 --> 00:14:52,720 Speaker 3: it's not really correlated to who would actually end up winning. 280 00:14:54,080 --> 00:14:55,640 Speaker 8: Well, this is a good point, and I mean, I 281 00:14:55,640 --> 00:14:59,200 Speaker 8: think it has to do more with market price discovery, 282 00:14:59,240 --> 00:15:01,480 Speaker 8: and I think people a lot of faith in. 283 00:15:03,120 --> 00:15:05,200 Speaker 7: Sort of market pricing of odds. 284 00:15:05,400 --> 00:15:08,560 Speaker 8: But then you know, obviously polling could be sort of 285 00:15:08,560 --> 00:15:12,000 Speaker 8: a different demographic group. So what's really making a lot 286 00:15:12,040 --> 00:15:15,080 Speaker 8: of people, I think even myself, is you see the 287 00:15:15,120 --> 00:15:17,520 Speaker 8: news and it's just flipping back and forth, and there 288 00:15:17,520 --> 00:15:21,400 Speaker 8: are very different outlets pointing to different observations, and that 289 00:15:21,600 --> 00:15:24,240 Speaker 8: just suggests how incredibly uncertain and tight. 290 00:15:24,160 --> 00:15:25,200 Speaker 7: This race really is. 291 00:15:25,840 --> 00:15:29,000 Speaker 8: And people are probably also looking at those areas which 292 00:15:29,120 --> 00:15:32,240 Speaker 8: kind of they're used to, So I think the picture 293 00:15:32,280 --> 00:15:33,040 Speaker 8: is very mixed. 294 00:15:34,040 --> 00:15:37,520 Speaker 2: So Katie, from your perspective and just maybe your equity 295 00:15:37,560 --> 00:15:40,920 Speaker 2: allocation here have you made have you hedged it at all? 296 00:15:41,200 --> 00:15:44,400 Speaker 2: Or are you just position that we're going to be 297 00:15:44,400 --> 00:15:47,240 Speaker 2: fine no matter who's kind of controlling things down there 298 00:15:47,240 --> 00:15:47,800 Speaker 2: in Washington. 299 00:15:49,080 --> 00:15:51,760 Speaker 8: Well, this is a good question because as a trend follower, 300 00:15:51,960 --> 00:15:55,680 Speaker 8: our goal isn't really sort of to add a discretionary 301 00:15:55,760 --> 00:15:59,280 Speaker 8: view on what we do we're just measuring where market 302 00:15:59,360 --> 00:16:03,040 Speaker 8: directions are moving. And you have seen some momentum and 303 00:16:03,080 --> 00:16:05,880 Speaker 8: equities over the last six weeks. But I think the 304 00:16:06,000 --> 00:16:08,720 Speaker 8: biggest thing that people have been focused on is not 305 00:16:08,760 --> 00:16:12,400 Speaker 8: necessarily just equities. It's just how much long bond signals 306 00:16:12,440 --> 00:16:17,280 Speaker 8: have dissipated, even going short in US fixed income in 307 00:16:17,320 --> 00:16:19,840 Speaker 8: some ways. And also how much the dollar has moved, 308 00:16:20,040 --> 00:16:22,480 Speaker 8: but it's a short term moved and things are still 309 00:16:22,560 --> 00:16:26,080 Speaker 8: very mixed. But US equities seem to be the most 310 00:16:26,160 --> 00:16:28,920 Speaker 8: robust signal, which tells you maybe we're going to be 311 00:16:28,960 --> 00:16:30,400 Speaker 8: fine either way, let's hope. 312 00:16:30,400 --> 00:16:33,480 Speaker 3: So when it comes to Congress, in the makeup of 313 00:16:33,520 --> 00:16:36,200 Speaker 3: Congress and particularly gridlock, because when I've been speaking with 314 00:16:36,240 --> 00:16:39,320 Speaker 3: a lot of portfolio managers, especially when they're managing money 315 00:16:39,400 --> 00:16:43,080 Speaker 3: for longer term horizons, they haven't been making big bets 316 00:16:43,120 --> 00:16:45,480 Speaker 3: either way because a lot of times, even if they 317 00:16:45,480 --> 00:16:48,360 Speaker 3: have certain policy proposals, as you know, it would take 318 00:16:48,480 --> 00:16:51,360 Speaker 3: some time here to figure out whether or not those 319 00:16:51,400 --> 00:16:53,320 Speaker 3: would get passed. So how much to you when you're 320 00:16:53,360 --> 00:16:56,640 Speaker 3: thinking about gridlock in Congress, will that make certain trading 321 00:16:56,680 --> 00:16:59,480 Speaker 3: decisions in the coming months or even having to wait 322 00:16:59,520 --> 00:17:01,480 Speaker 3: on that, you know more of what that could look 323 00:17:01,560 --> 00:17:03,080 Speaker 3: like in Congress when you think about the House as 324 00:17:03,080 --> 00:17:03,760 Speaker 3: well as the Senate. 325 00:17:05,040 --> 00:17:06,280 Speaker 7: I think you make a good point. 326 00:17:06,320 --> 00:17:08,679 Speaker 8: It's just if you think about NPV or sort of 327 00:17:08,720 --> 00:17:11,199 Speaker 8: the value of the markets, it's really about weighing the 328 00:17:11,280 --> 00:17:15,919 Speaker 8: different possible outcomes. And even though we're going to have 329 00:17:16,000 --> 00:17:19,080 Speaker 8: at least hopefully some resolution in terms of the election, 330 00:17:19,600 --> 00:17:22,639 Speaker 8: it still is quite a long road for many different policies, 331 00:17:22,720 --> 00:17:27,280 Speaker 8: particularly if you have a gridlock in Congress, and that 332 00:17:27,359 --> 00:17:31,879 Speaker 8: means that status quo is probably closer than sort of 333 00:17:31,880 --> 00:17:35,840 Speaker 8: these extreme scenarios which people are trying to discount and valuate. 334 00:17:36,240 --> 00:17:38,320 Speaker 8: And so I think that that's why if you look 335 00:17:38,359 --> 00:17:42,160 Speaker 8: for the overall trend, equities still remain somewhat positive, because 336 00:17:42,760 --> 00:17:46,000 Speaker 8: the path to all of more extreme policy is actually 337 00:17:46,040 --> 00:17:48,320 Speaker 8: a long one and it could take time to know, 338 00:17:48,400 --> 00:17:50,480 Speaker 8: and we should have more information as that changes. 339 00:17:51,560 --> 00:17:54,520 Speaker 2: Katie. In the world of fixed income, how much credit 340 00:17:54,600 --> 00:17:56,680 Speaker 2: risk are you taking if any of these days? 341 00:17:57,600 --> 00:17:59,639 Speaker 8: So we don't focus on credit risk, but I know 342 00:17:59,720 --> 00:18:03,440 Speaker 8: that's in an area recently that has been very interesting, 343 00:18:03,560 --> 00:18:07,119 Speaker 8: especially with yields higher. I think the fact that you 344 00:18:07,160 --> 00:18:09,840 Speaker 8: didn't see a lot of credit deterioration in August was 345 00:18:09,880 --> 00:18:13,119 Speaker 8: something that surprised me. We're much more focused on the 346 00:18:13,160 --> 00:18:18,240 Speaker 8: directional level of yields, and we've really seen a major 347 00:18:18,359 --> 00:18:24,000 Speaker 8: pivot towards higher, longer, steadier fed reaction, and I think 348 00:18:24,080 --> 00:18:27,320 Speaker 8: that sort of is obviously going to impact credit as well. 349 00:18:27,960 --> 00:18:29,680 Speaker 2: Katie, thank you so much for joining us. We always 350 00:18:29,680 --> 00:18:32,320 Speaker 2: appreciate getting a few minutes of your time. Kati Kaminski. 351 00:18:32,440 --> 00:18:35,640 Speaker 2: She's a chief research strategist and she's a portfolio manager 352 00:18:35,720 --> 00:18:37,879 Speaker 2: over to Alpha Simplex Group. 353 00:18:39,440 --> 00:18:43,320 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 354 00:18:43,400 --> 00:18:46,920 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 355 00:18:46,960 --> 00:18:50,119 Speaker 1: Auto with the Bloomberg Business. You can also listen live 356 00:18:50,240 --> 00:18:53,399 Speaker 1: on Amazon Alexa from our flagship New York station Just 357 00:18:53,480 --> 00:18:56,359 Speaker 1: Say Alexa, play Bloomberg eleven thirty. 358 00:18:57,280 --> 00:19:00,439 Speaker 2: At Bloomberg Interactive Brooks Studio, or streaming live on YouTube 359 00:19:00,480 --> 00:19:03,359 Speaker 2: as well as to check us out there Trump trades, 360 00:19:03,640 --> 00:19:07,520 Speaker 2: which is basically long the dollar, short bonds. Are you 361 00:19:07,600 --> 00:19:09,359 Speaker 2: long the Trump trade? Are you not? It seemed like 362 00:19:09,359 --> 00:19:11,159 Speaker 2: the narrative maybe change a little bit over the weekends 363 00:19:11,200 --> 00:19:13,160 Speaker 2: of new polling. I don't know how if you're a trader, 364 00:19:13,960 --> 00:19:16,400 Speaker 2: you're playing this thing I don't know, but our next 365 00:19:16,440 --> 00:19:19,159 Speaker 2: guest has a great big take story. Honest, you know, 366 00:19:19,200 --> 00:19:21,800 Speaker 2: we love the big take stories coming out of Bloomberg News. 367 00:19:21,800 --> 00:19:25,040 Speaker 2: Great topics, deeply resourced, deeply sourced. 368 00:19:24,840 --> 00:19:27,840 Speaker 3: Always great visuals and charts like the pictures. 369 00:19:27,840 --> 00:19:30,200 Speaker 2: The pictures helped me. Katherine Burton joins us. She's a 370 00:19:30,240 --> 00:19:32,080 Speaker 2: senior reporter for Bloomberg News. She joins us here in 371 00:19:32,119 --> 00:19:36,640 Speaker 2: our Bloomberg Interactive Broker studio. So, Kathy, what are traders 372 00:19:36,680 --> 00:19:38,600 Speaker 2: on Global Wallstreet? What are they trying to do here 373 00:19:38,640 --> 00:19:40,719 Speaker 2: ahead of this election? Are they trying to play it? 374 00:19:40,920 --> 00:19:43,240 Speaker 2: Are they trying to hedge themselves? What are they doing? 375 00:19:43,840 --> 00:19:48,160 Speaker 9: They're trying to do both. Actually, I would say that 376 00:19:48,440 --> 00:19:51,199 Speaker 9: most of the traders have a slight tendency towards the 377 00:19:51,240 --> 00:19:55,080 Speaker 9: Trump trade that has maybe reversed a little bit overnight 378 00:19:55,320 --> 00:19:59,919 Speaker 9: with the new poll that showed Harris ahead and I 379 00:20:01,800 --> 00:20:05,960 Speaker 9: but there's also a lot of hedging going on. People 380 00:20:06,040 --> 00:20:09,680 Speaker 9: are betting on inflation, they're betting on a steeper yield curve, 381 00:20:09,760 --> 00:20:13,119 Speaker 9: and both those things should make money no matter who wins. 382 00:20:13,520 --> 00:20:15,239 Speaker 3: It's interesting because when I've been speaking to a lot 383 00:20:15,280 --> 00:20:18,200 Speaker 3: of portfolio managers who are managing money for longer term. 384 00:20:18,240 --> 00:20:20,480 Speaker 3: They're still kind of on the sidelines and are more 385 00:20:20,520 --> 00:20:22,760 Speaker 3: focused on the Federal Reserve and kind of the direction 386 00:20:22,800 --> 00:20:25,520 Speaker 3: of the economy. But when you're talking to say hedge funds, 387 00:20:25,520 --> 00:20:28,520 Speaker 3: which obviously have a much shorter type of timeframe, what 388 00:20:28,680 --> 00:20:30,400 Speaker 3: is the mood like there, and how exactly are there 389 00:20:30,440 --> 00:20:33,359 Speaker 3: priming their computer models for a moment like this and 390 00:20:33,400 --> 00:20:35,360 Speaker 3: how they're treating because obviously they have a different time 391 00:20:35,400 --> 00:20:37,960 Speaker 3: horizon than they say somebody who's managing money like five 392 00:20:38,000 --> 00:20:39,320 Speaker 3: ten years out right. 393 00:20:39,400 --> 00:20:42,000 Speaker 9: So we spoke to one of those managers who has 394 00:20:42,040 --> 00:20:46,920 Speaker 9: a pretty substantial quant aspect to their portfolio, and they 395 00:20:47,200 --> 00:20:49,920 Speaker 9: did over the past few months, and because it's only 396 00:20:49,920 --> 00:20:52,520 Speaker 9: been a few months since Harris came into the election, 397 00:20:53,440 --> 00:20:56,119 Speaker 9: they've been looking at polls and betting markets and trying 398 00:20:56,119 --> 00:21:00,280 Speaker 9: to put that into their models and isolate how set 399 00:21:00,359 --> 00:21:04,120 Speaker 9: classes move with a rise or a fall in the polls. 400 00:21:05,200 --> 00:21:08,000 Speaker 9: So people have been rejigging their models to try and 401 00:21:08,160 --> 00:21:09,640 Speaker 9: get a better idea of what to do. 402 00:21:10,040 --> 00:21:12,720 Speaker 2: Global Wall Street, I mean, they're getting ready for this thing. 403 00:21:12,800 --> 00:21:15,720 Speaker 2: JPMorgan Chase you report plans to increase staffing in Europe 404 00:21:15,720 --> 00:21:18,280 Speaker 2: and Asia to handle overnight volume and volatility. Glob and 405 00:21:18,400 --> 00:21:21,160 Speaker 2: Sachs expects to have hundreds from its sales and trading 406 00:21:21,200 --> 00:21:23,520 Speaker 2: teams on site in New York well into the night. 407 00:21:23,600 --> 00:21:26,280 Speaker 2: So Global Wall Street they're gear enough for this. It's 408 00:21:26,320 --> 00:21:27,800 Speaker 2: not just gonna wake up and see what happened. 409 00:21:27,960 --> 00:21:31,159 Speaker 9: Yeah. Absolutely, And we have even smaller brokers who have 410 00:21:31,240 --> 00:21:34,840 Speaker 9: never had people overnight before for an election saying that 411 00:21:34,920 --> 00:21:38,000 Speaker 9: this election they might well have to have someone there 412 00:21:38,400 --> 00:21:39,080 Speaker 9: throughout the night. 413 00:21:39,680 --> 00:21:41,600 Speaker 3: Something else I was keeping a close eye on is 414 00:21:41,640 --> 00:21:44,200 Speaker 3: when you're looking at the CFTC data, we get updates 415 00:21:44,240 --> 00:21:47,080 Speaker 3: every Friday at three thirty, so always convenient right before 416 00:21:47,080 --> 00:21:48,679 Speaker 3: the closing bell at the end of the week. But 417 00:21:48,720 --> 00:21:52,320 Speaker 3: hedgephnes were of course betting on bigger price wings coming up, 418 00:21:52,359 --> 00:21:54,840 Speaker 3: probably not surprisingly so when you're looking at large speculators 419 00:21:54,840 --> 00:21:57,600 Speaker 3: turning that long on vic's futures for the first time 420 00:21:57,840 --> 00:22:01,440 Speaker 3: since January of twenty nineteen. And so whenever you're speaking 421 00:22:01,440 --> 00:22:04,400 Speaker 3: with your sources, specifically when you're thinking about the options 422 00:22:04,640 --> 00:22:06,639 Speaker 3: equity side of things, what are they telling you with 423 00:22:06,760 --> 00:22:09,520 Speaker 3: as more specifically of how they're trying to hedge or 424 00:22:09,520 --> 00:22:12,760 Speaker 3: what they're trying to either buy or kind of shy 425 00:22:12,800 --> 00:22:13,800 Speaker 3: away from at this point. 426 00:22:14,119 --> 00:22:18,960 Speaker 9: Yeah, there's definitely been more vics buying because they do 427 00:22:19,080 --> 00:22:22,400 Speaker 9: expect that there's going to be more volatility m hm. 428 00:22:22,520 --> 00:22:25,160 Speaker 9: And also more futures as well. 429 00:22:25,119 --> 00:22:27,080 Speaker 3: Something I was wondering too, because you have such a 430 00:22:27,160 --> 00:22:29,119 Speaker 3: jam packed week and then other events coming up in 431 00:22:29,160 --> 00:22:31,560 Speaker 3: the coming weeks. Two obviously the election, the Federal Reserve, 432 00:22:31,600 --> 00:22:33,800 Speaker 3: we have a thirteen F filing deadline coming up to 433 00:22:34,119 --> 00:22:35,760 Speaker 3: we still have about nine percent of the S and 434 00:22:35,800 --> 00:22:37,679 Speaker 3: P five hundred by market cap reporting. And then of 435 00:22:37,680 --> 00:22:41,120 Speaker 3: course we have Nvidia actually coming up on November twentieth. 436 00:22:41,160 --> 00:22:43,640 Speaker 3: So when you're speaking with them, do they say there's 437 00:22:43,640 --> 00:22:46,800 Speaker 3: a specific event. Obviously we know the elections tomorrow, but 438 00:22:47,119 --> 00:22:50,720 Speaker 3: is there is it harder to decipher one event versus another? 439 00:22:51,119 --> 00:22:51,320 Speaker 6: Yes? 440 00:22:51,480 --> 00:22:52,120 Speaker 7: Absolutely. 441 00:22:52,240 --> 00:22:55,199 Speaker 9: I mean the Fed is really an huge thing, and 442 00:22:56,320 --> 00:23:00,240 Speaker 9: I think more people are looking at what's going to 443 00:23:00,280 --> 00:23:03,000 Speaker 9: happen there than really than anything else, even the election. 444 00:23:03,320 --> 00:23:07,600 Speaker 2: Right, So the popular Trump trade again long the dollars 445 00:23:07,720 --> 00:23:10,800 Speaker 2: short bonds, is that unwinding today a little bit because 446 00:23:10,800 --> 00:23:12,560 Speaker 2: of this new polling data that came out. It does 447 00:23:12,560 --> 00:23:14,320 Speaker 2: it move that short term? 448 00:23:14,560 --> 00:23:15,520 Speaker 7: Yes, it has. 449 00:23:16,119 --> 00:23:19,199 Speaker 9: The last time I left, the dollar was down almost 450 00:23:19,200 --> 00:23:22,760 Speaker 9: a percent. For example, I think crypto is down to yep. 451 00:23:22,720 --> 00:23:25,119 Speaker 2: Yeah, we got a crypto a bitcoined down one percent, 452 00:23:26,080 --> 00:23:28,800 Speaker 2: the Bloomberg Dollar index down about six tens to one percent, 453 00:23:30,920 --> 00:23:33,760 Speaker 2: and the people mind a tenure treasures up to twenty 454 00:23:33,760 --> 00:23:35,800 Speaker 2: four to thirty seconds. So it just day to day 455 00:23:35,800 --> 00:23:36,400 Speaker 2: it seems. 456 00:23:36,280 --> 00:23:39,280 Speaker 9: Like, yeah, absolutely, and what would be really as we 457 00:23:39,320 --> 00:23:43,360 Speaker 9: start getting results, it's going to be even more frequent, right. 458 00:23:43,520 --> 00:23:46,280 Speaker 3: Talk to us about the implied price swings that the 459 00:23:46,280 --> 00:23:48,720 Speaker 3: options markets pricing in the days. 460 00:23:48,440 --> 00:23:55,080 Speaker 10: After the election, meaning what exactly kind of like the elevator, 461 00:23:55,080 --> 00:23:57,560 Speaker 10: so City, for instance, du Kaiser at City he sees 462 00:23:57,800 --> 00:24:00,359 Speaker 10: on actually a Wednesday, So the day after the election, 463 00:24:00,400 --> 00:24:02,560 Speaker 10: the S and P five hundred could swing about one point. 464 00:24:02,359 --> 00:24:05,400 Speaker 3: Eight percent in either direction. But obviously we know we'll 465 00:24:05,440 --> 00:24:08,000 Speaker 3: have the FED decision on Thursday too. But do you 466 00:24:08,080 --> 00:24:10,639 Speaker 3: expect to see heightened kind of volatility, particularly in the 467 00:24:10,720 --> 00:24:13,959 Speaker 3: vis and then in options in futures markets, especially you know, 468 00:24:13,960 --> 00:24:15,960 Speaker 3: in the coming days and then the coming weeks two. 469 00:24:16,000 --> 00:24:17,840 Speaker 2: Oh, yes, particularly in the dollar. 470 00:24:17,960 --> 00:24:20,440 Speaker 9: People have told us that that's something they're really really 471 00:24:20,480 --> 00:24:22,760 Speaker 9: going to be watching because they feel like that's going 472 00:24:22,840 --> 00:24:25,960 Speaker 9: to be something that everyone will be looking on even 473 00:24:26,000 --> 00:24:31,240 Speaker 9: people outside the US because of the trade issues, right such. 474 00:24:31,080 --> 00:24:32,840 Speaker 2: I mean that makes sense, Yeah, but there's also a 475 00:24:32,920 --> 00:24:34,440 Speaker 2: chance that we're not going to know for some time. 476 00:24:34,520 --> 00:24:36,360 Speaker 2: If you know, this thing could drag on for days, 477 00:24:36,359 --> 00:24:39,959 Speaker 2: there could be legal challenges. So are fund managers are 478 00:24:39,960 --> 00:24:43,119 Speaker 2: they kind of positioning themselves for that or is that 479 00:24:43,160 --> 00:24:44,000 Speaker 2: just amount of hedging? 480 00:24:44,040 --> 00:24:46,720 Speaker 9: I guess yes, I think that would that's mostly hedging, 481 00:24:47,119 --> 00:24:49,800 Speaker 9: although some people I think Golden Sachs had a note 482 00:24:49,800 --> 00:24:52,919 Speaker 9: doubt that said that even if we don't have a 483 00:24:53,040 --> 00:24:56,240 Speaker 9: precise decision, that there will be certain things that will 484 00:24:56,359 --> 00:25:00,920 Speaker 9: let lead the market towards a conclusion of Trump or Harris. 485 00:25:01,960 --> 00:25:04,959 Speaker 2: How about just in terms of going forward, I mean 486 00:25:05,000 --> 00:25:06,960 Speaker 2: a lot of folks say, don't worry about who wins 487 00:25:07,320 --> 00:25:10,800 Speaker 2: the White House because it's going to have a gridlocked Congress. 488 00:25:10,600 --> 00:25:13,479 Speaker 3: Right the makeup of Congress. Ye, traders will usually focus 489 00:25:13,520 --> 00:25:13,840 Speaker 3: on that. 490 00:25:13,840 --> 00:25:16,160 Speaker 2: That's interesting too. Are traders are looking at that as well? 491 00:25:16,240 --> 00:25:19,520 Speaker 9: Absolutely? We definitely had people say it does not really 492 00:25:19,600 --> 00:25:23,280 Speaker 9: matter as much who as president, at least in the 493 00:25:23,359 --> 00:25:27,520 Speaker 9: short term, as whether we have a sweep in Congress 494 00:25:27,600 --> 00:25:27,840 Speaker 9: or not. 495 00:25:28,160 --> 00:25:31,280 Speaker 3: And specifically, when you think about policy proposals, whether they 496 00:25:31,520 --> 00:25:35,800 Speaker 3: affect obviously trade if you think about big tech regulation, 497 00:25:36,000 --> 00:25:39,159 Speaker 3: healthcare regulation, or there are particular types of policy proposals 498 00:25:39,160 --> 00:25:41,439 Speaker 3: that those traders are looking at that they want to 499 00:25:41,440 --> 00:25:44,320 Speaker 3: remain gridlock in Congress, so that obviously the status quote 500 00:25:44,320 --> 00:25:46,240 Speaker 3: would stay in place and there would be big changes 501 00:25:46,240 --> 00:25:48,440 Speaker 3: to different policies for those types of industries. 502 00:25:48,880 --> 00:25:51,600 Speaker 9: Yeah, definitely. I mean, I think crypto is one. I 503 00:25:51,640 --> 00:25:54,439 Speaker 9: think clean energy is another one that a lot of 504 00:25:54,440 --> 00:25:55,400 Speaker 9: people are looking at. 505 00:25:56,440 --> 00:25:56,560 Speaker 11: All. 506 00:25:56,640 --> 00:25:58,440 Speaker 2: Right, Catherine, thank you so much for joining us. Katherin 507 00:25:58,480 --> 00:26:01,119 Speaker 2: Burton Burton J'SUS senior report for Bloomberg News, joining us 508 00:26:01,119 --> 00:26:04,040 Speaker 2: here in our Bloomberg Interactive Broker's studio. The Big Takes 509 00:26:04,119 --> 00:26:05,919 Speaker 2: story at on the Bloomberg Trumbo. You can read it 510 00:26:05,960 --> 00:26:06,920 Speaker 2: on the terminal. 511 00:26:06,960 --> 00:26:07,480 Speaker 3: Great stuff. 512 00:26:07,520 --> 00:26:10,680 Speaker 2: Yeah, it's always great stuff. We love having talk about 513 00:26:10,680 --> 00:26:12,840 Speaker 2: these stories, so you can read it on the Bloomberg Tremol. 514 00:26:12,880 --> 00:26:16,360 Speaker 2: You can also go to Bloomberg dot com slash Big Take. 515 00:26:16,400 --> 00:26:18,919 Speaker 2: And it's interesting to see, you know, how the markets 516 00:26:18,920 --> 00:26:22,200 Speaker 2: are reacting to just seemingly daily swings and kind of 517 00:26:22,200 --> 00:26:24,639 Speaker 2: how the polls are moving here when you take a 518 00:26:24,640 --> 00:26:28,760 Speaker 2: look at some broadly traded asset classes like currencies like bonds. 519 00:26:30,359 --> 00:26:34,240 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 520 00:26:34,320 --> 00:26:37,840 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 521 00:26:37,880 --> 00:26:40,639 Speaker 1: Auto with the Bloomberg Business App. You can also listen 522 00:26:40,760 --> 00:26:43,840 Speaker 1: live on Amazon Alexa from our flagship New York station. 523 00:26:44,240 --> 00:26:48,720 Speaker 1: Just say Alexa play Bloomberg eleven thirty. 524 00:26:48,400 --> 00:26:51,240 Speaker 2: Alex Steel will'll be back in a couple of weeks. 525 00:26:51,320 --> 00:26:53,600 Speaker 2: That'll be a good and wonderful thing. We're here in 526 00:26:53,600 --> 00:26:56,720 Speaker 2: our Bloomberg INTERACTI Broker studio, streaming live on YouTube as well. 527 00:26:56,920 --> 00:26:58,600 Speaker 2: All right, I'm going back to that big takes story, 528 00:26:59,200 --> 00:27:01,960 Speaker 2: the trumpet trade, which is long the dollars short, the 529 00:27:02,040 --> 00:27:04,399 Speaker 2: bonds seems to be unwinding a little bit here. I 530 00:27:04,440 --> 00:27:06,879 Speaker 2: wonder if you're if you manage a jillion dollars like 531 00:27:06,880 --> 00:27:09,080 Speaker 2: the good folks at TCW, do do you even care 532 00:27:09,119 --> 00:27:11,399 Speaker 2: about that stuff? For you're looking through to the bigger picture. 533 00:27:11,440 --> 00:27:13,280 Speaker 2: I don't know how they do that stuff there. Rubin 534 00:27:13,520 --> 00:27:16,560 Speaker 2: have anician. He is a general generalist portfolio manager at 535 00:27:16,560 --> 00:27:19,760 Speaker 2: TCW's fixed income group. Rubin, what are you? And you 536 00:27:19,800 --> 00:27:22,119 Speaker 2: know the smart UCLA grads which seems to be you 537 00:27:22,119 --> 00:27:26,720 Speaker 2: guys own TCW. The UCLA School out there. What do 538 00:27:26,760 --> 00:27:28,600 Speaker 2: you guys when you sit around on your Monday morning meeting, 539 00:27:28,680 --> 00:27:30,879 Speaker 2: what do you say about the political backdrop period? Is 540 00:27:30,920 --> 00:27:32,800 Speaker 2: it factor into what you guys do or do you 541 00:27:32,840 --> 00:27:35,679 Speaker 2: just kind of plow through and focus on the building blocks. 542 00:27:37,880 --> 00:27:40,800 Speaker 5: Good morning, Thanks for having me back on the show. 543 00:27:41,880 --> 00:27:46,880 Speaker 12: We are we are not playing the political noise. We're 544 00:27:46,920 --> 00:27:51,200 Speaker 12: looking through the noise, and we're positioning based on our convictions, 545 00:27:51,240 --> 00:27:53,880 Speaker 12: based on our based on the value that we see 546 00:27:53,880 --> 00:27:55,119 Speaker 12: in rates, in duration and. 547 00:27:55,160 --> 00:27:56,240 Speaker 5: Certain parts of the rates. 548 00:27:56,880 --> 00:28:00,800 Speaker 12: And from that perspective, the trade that we all and 549 00:28:00,840 --> 00:28:03,320 Speaker 12: in the last materialized in the last month or so 550 00:28:03,400 --> 00:28:06,480 Speaker 12: since late September, where we've seen rates higher by fifty 551 00:28:06,560 --> 00:28:09,600 Speaker 12: sixty basisponts across the board. We saw it as an 552 00:28:09,600 --> 00:28:12,840 Speaker 12: opportunity to add to our duration explored in the front 553 00:28:12,920 --> 00:28:16,080 Speaker 12: end of the curve and do some other stuff, add 554 00:28:16,119 --> 00:28:19,239 Speaker 12: to some sectors that are that got sold off and 555 00:28:19,320 --> 00:28:24,320 Speaker 12: got you know, hurt by the duration by rates selling off. 556 00:28:26,000 --> 00:28:28,240 Speaker 12: We think that the sell off in rates, I mean, 557 00:28:28,280 --> 00:28:30,080 Speaker 12: as you can see this morning, we see a partial 558 00:28:30,119 --> 00:28:33,080 Speaker 12: reversal ofdea of the cell off that we saw since 559 00:28:33,160 --> 00:28:36,080 Speaker 12: late September, and I think it's a healthy reminder that 560 00:28:36,600 --> 00:28:39,440 Speaker 12: the you know, the we haven't heard if you think 561 00:28:39,480 --> 00:28:41,240 Speaker 12: about it, we haven't heard a lot of new information. 562 00:28:41,320 --> 00:28:43,480 Speaker 12: We knew it was a very close election. As of 563 00:28:43,600 --> 00:28:45,440 Speaker 12: this morning, we know exactly the same that is a 564 00:28:45,520 --> 00:28:46,320 Speaker 12: very close election. 565 00:28:46,680 --> 00:28:48,160 Speaker 5: So we're kind of splitting hair here. 566 00:28:48,600 --> 00:28:51,680 Speaker 12: And we think the markets got ahead of themselves in 567 00:28:52,120 --> 00:28:56,040 Speaker 12: pricing in a very extreme scenario and very high probability 568 00:28:56,120 --> 00:28:57,160 Speaker 12: of the Republican sweep. 569 00:28:57,240 --> 00:28:59,600 Speaker 5: So we saw it as an opportunity. 570 00:28:59,000 --> 00:29:04,239 Speaker 12: To express of our trades and our trades that are 571 00:29:04,240 --> 00:29:05,320 Speaker 12: based on the value. 572 00:29:05,080 --> 00:29:07,320 Speaker 3: That we've seen rates heading into some of these big 573 00:29:07,400 --> 00:29:10,160 Speaker 3: key events this week. What do you think speculative positioning 574 00:29:10,200 --> 00:29:12,080 Speaker 3: in the bond market is telling us. 575 00:29:14,400 --> 00:29:14,640 Speaker 5: Well? 576 00:29:14,680 --> 00:29:17,160 Speaker 12: Within the speculative positioning in the bar bond market, and 577 00:29:17,200 --> 00:29:19,160 Speaker 12: of course it's hard to decipher how much of this 578 00:29:19,800 --> 00:29:21,920 Speaker 12: sell off in We think the sell off that we've 579 00:29:21,960 --> 00:29:24,959 Speaker 12: seen in the last four or five weeks is driven 580 00:29:25,040 --> 00:29:27,640 Speaker 12: by a some better than expected data that we saw, 581 00:29:27,720 --> 00:29:30,600 Speaker 12: especially in the first half of October, which we would 582 00:29:30,600 --> 00:29:33,560 Speaker 12: recommend to take with a grain of salt, and then 583 00:29:33,760 --> 00:29:36,320 Speaker 12: some of it was the Republican momentum. 584 00:29:37,000 --> 00:29:37,920 Speaker 5: And it's telling you. 585 00:29:37,840 --> 00:29:40,680 Speaker 12: That investors are pricing in a very high Again, we 586 00:29:40,760 --> 00:29:43,320 Speaker 12: saw a partial reversal of that this morning, But generally speaking, 587 00:29:43,760 --> 00:29:46,400 Speaker 12: we think the data tells you that investors are pricing 588 00:29:46,440 --> 00:29:50,200 Speaker 12: in very high probability of a Republican sweep, and add 589 00:29:50,240 --> 00:29:55,920 Speaker 12: that a very high probability of some extreme, some extreme agenda. 590 00:29:55,560 --> 00:29:58,760 Speaker 5: Being enacted and implemented conditional on. 591 00:29:58,720 --> 00:30:02,600 Speaker 12: That Republicans, which we think is certainly a scenario, but 592 00:30:02,640 --> 00:30:05,480 Speaker 12: we think that the weight assigned to that scenario is 593 00:30:05,560 --> 00:30:08,320 Speaker 12: much higher than it's just the fuck end. 594 00:30:08,320 --> 00:30:10,800 Speaker 5: What we're seeing this morning is probly healthy reminder of that. 595 00:30:12,000 --> 00:30:14,480 Speaker 2: I'm looking at the end go function on the Bloomberg Turberton. 596 00:30:14,560 --> 00:30:17,880 Speaker 2: I see the best performing fixed income category. It's for 597 00:30:18,040 --> 00:30:21,960 Speaker 2: being US corporate high yielded almost seven and a half percent. There, 598 00:30:22,320 --> 00:30:24,680 Speaker 2: what's your call on a high yeld market? I thought 599 00:30:24,680 --> 00:30:29,400 Speaker 2: we were concerned about recessions, so. 600 00:30:31,200 --> 00:30:34,320 Speaker 12: We think that we are in a heart lending camp. 601 00:30:34,360 --> 00:30:38,400 Speaker 12: We remain in heart lending camp. But you know, we 602 00:30:38,520 --> 00:30:41,760 Speaker 12: have seen spreads compressed in credit in general. We have 603 00:30:41,800 --> 00:30:44,600 Speaker 12: seen spreads compressed across the board, both the investment grade 604 00:30:44,600 --> 00:30:47,520 Speaker 12: and below and high yield. In fact, if you look 605 00:30:47,560 --> 00:30:51,600 Speaker 12: at the spreads against their historical against their history. They 606 00:30:51,640 --> 00:30:55,840 Speaker 12: are currently comfortably in the top fifth percentile. Generally speaking, 607 00:30:55,880 --> 00:30:58,920 Speaker 12: if you look at investment grade credit spreads, they are 608 00:30:58,960 --> 00:31:02,400 Speaker 12: in the top one first percentile, meaning spreads have been 609 00:31:02,760 --> 00:31:05,440 Speaker 12: wider than where they are now ninety nine percent of 610 00:31:05,480 --> 00:31:08,040 Speaker 12: the times. The stats are a little better for high 611 00:31:08,080 --> 00:31:12,360 Speaker 12: yield but similar. So we think the market is, you know, 612 00:31:12,400 --> 00:31:16,520 Speaker 12: the market is very optimistic about the economic scenarios and 613 00:31:16,560 --> 00:31:20,560 Speaker 12: outcomes and is not pricing, it's not compensating investors sufficiently 614 00:31:20,600 --> 00:31:26,360 Speaker 12: for the potential volatility associated with the worst economic outcomes 615 00:31:26,120 --> 00:31:27,120 Speaker 12: than the market is. 616 00:31:27,040 --> 00:31:29,800 Speaker 3: Currently pressing in When you're going into a pivotal week 617 00:31:29,840 --> 00:31:33,520 Speaker 3: with a barrage of different events here, what is some 618 00:31:33,640 --> 00:31:37,080 Speaker 3: of the questions that your clients are asking you. 619 00:31:40,000 --> 00:31:42,240 Speaker 5: Well, the I mean, it's what you would expect. 620 00:31:42,240 --> 00:31:44,760 Speaker 12: It's the questions that the market that you know your 621 00:31:44,840 --> 00:31:46,840 Speaker 12: guests are asking you, or you're asking your guests. 622 00:31:46,960 --> 00:31:49,000 Speaker 5: It's what will be the politics, what will. 623 00:31:48,800 --> 00:31:50,680 Speaker 12: Be the outcome of the election, and what that really 624 00:31:50,720 --> 00:31:52,680 Speaker 12: means for the economy and. 625 00:31:52,560 --> 00:31:54,040 Speaker 5: What that really means for the markets. 626 00:31:54,760 --> 00:31:58,200 Speaker 12: And we think that there is apparently a lot of extrapolation, 627 00:31:58,280 --> 00:32:01,120 Speaker 12: there's some there's a lot of uncertainly that's probably an understatement, 628 00:32:01,160 --> 00:32:04,360 Speaker 12: and there's some fear and there is also some extrapolation 629 00:32:04,400 --> 00:32:08,040 Speaker 12: from twenty sixteen experience in terms of rates and what 630 00:32:08,160 --> 00:32:10,600 Speaker 12: the election will mean for rates. And we do think 631 00:32:10,680 --> 00:32:13,520 Speaker 12: that that those parallels that are being drawn by some 632 00:32:13,640 --> 00:32:20,600 Speaker 12: investors at least are probably, you know, not justified, because 633 00:32:21,400 --> 00:32:24,440 Speaker 12: we're sitting at a very different in a very different environment. 634 00:32:24,480 --> 00:32:27,320 Speaker 12: We're sitting in a different regime in twenty sixteen. In 635 00:32:27,360 --> 00:32:29,520 Speaker 12: late twenty sixteen, as you remember, the FET had just 636 00:32:29,600 --> 00:32:32,880 Speaker 12: embarked upon interest rate hiking path. 637 00:32:33,640 --> 00:32:35,280 Speaker 5: We had just come out of the. 638 00:32:35,360 --> 00:32:40,440 Speaker 12: Twenty fifteen sixteen mini prices and energy and commodities. This 639 00:32:40,600 --> 00:32:43,920 Speaker 12: time around, we think we're late cycle. The FAT has started. 640 00:32:43,960 --> 00:32:47,360 Speaker 12: It's cutting an interest rate cutting cycle. So it's a 641 00:32:47,440 --> 00:32:49,960 Speaker 12: very different environment and there should be a lot of 642 00:32:50,040 --> 00:32:53,320 Speaker 12: caution in extrapolating from twenty sixteen experience. 643 00:32:53,560 --> 00:32:55,200 Speaker 2: All right, Rubin, thanks so much for your time. I 644 00:32:55,200 --> 00:32:56,960 Speaker 2: always appreciate getting a few minutes of your time to 645 00:32:56,960 --> 00:32:59,840 Speaker 2: talk about these bond markets. Rubin, have an Asian general 646 00:33:00,160 --> 00:33:03,680 Speaker 2: portfolio manager at tc TCW's fixed income group. They're based 647 00:33:03,720 --> 00:33:07,200 Speaker 2: out there in Los Angeles, California. 648 00:33:07,600 --> 00:33:11,480 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 649 00:33:11,560 --> 00:33:15,120 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 650 00:33:15,120 --> 00:33:17,880 Speaker 1: Auto with the Bloomberg Business app. You can also listen 651 00:33:18,000 --> 00:33:21,120 Speaker 1: live on Amazon Alexa from our flagship New York station 652 00:33:21,480 --> 00:33:24,520 Speaker 1: Just Say Alexa playing Bloomberg eleven thirty. 653 00:33:25,640 --> 00:33:27,960 Speaker 2: Jess Meant sitting in for Alex Steele and Paul Sweney. 654 00:33:27,960 --> 00:33:30,080 Speaker 2: You're live here in on our Bloomerg Interactive Broker's studio, 655 00:33:30,080 --> 00:33:32,320 Speaker 2: streaming live on YouTube as well. I'd say one of 656 00:33:32,400 --> 00:33:35,400 Speaker 2: the best resources that we have at Bloomberg for our 657 00:33:35,440 --> 00:33:40,400 Speaker 2: clients is Bloomberg and EF originally known as New Energy Finance. 658 00:33:41,000 --> 00:33:44,320 Speaker 2: They're the team within Bloomberg that tracks and analyzes the 659 00:33:44,440 --> 00:33:47,040 Speaker 2: energy transition. They cover everything, and they do it on 660 00:33:47,080 --> 00:33:50,160 Speaker 2: a global basis and all that contents on the Bloomberg terminal. 661 00:33:50,200 --> 00:33:52,880 Speaker 2: Great stuff. Yajoe s Kenny joins us. She's head of 662 00:33:53,080 --> 00:33:57,760 Speaker 2: Energy Storage for Bloomberg n EF. Where are we ya, YOEI? 663 00:33:58,160 --> 00:34:03,320 Speaker 2: In terms of energy storage? Who's doing it? Well? Where 664 00:34:03,360 --> 00:34:05,160 Speaker 2: are we in the game? How much more do we 665 00:34:05,200 --> 00:34:07,560 Speaker 2: have to go in terms of the technology for energy storage? 666 00:34:07,720 --> 00:34:10,680 Speaker 11: All right, Well, thank you for having me today. So 667 00:34:11,160 --> 00:34:13,480 Speaker 11: I'm here to tell you a little bit about energy storage, 668 00:34:13,520 --> 00:34:17,520 Speaker 11: and a lot about clean power. So just for some context, 669 00:34:17,600 --> 00:34:19,440 Speaker 11: and we're going to talk about some of the analysis 670 00:34:19,480 --> 00:34:22,320 Speaker 11: that we actually published around the clean energy market outlook 671 00:34:22,400 --> 00:34:26,120 Speaker 11: specifically look at the US for some context. There's just 672 00:34:26,200 --> 00:34:28,839 Speaker 11: been a lot of investment that's been pouring into clean 673 00:34:28,840 --> 00:34:32,359 Speaker 11: power segments. We've seen a lot of that accelerated over 674 00:34:32,400 --> 00:34:35,280 Speaker 11: the last I guess two years, and since the Inflation 675 00:34:35,360 --> 00:34:38,799 Speaker 11: Reduction Act passed, facilitating a lot of new investments into 676 00:34:38,800 --> 00:34:41,759 Speaker 11: win solar and storage sectors, which are the sectors that 677 00:34:41,800 --> 00:34:46,240 Speaker 11: we cover in that particular report. There's about there's about 678 00:34:46,239 --> 00:34:50,120 Speaker 11: three hundred billion dollars invested across these sectors, so win solar, 679 00:34:50,160 --> 00:34:54,920 Speaker 11: storage and other clean transportation and other sectors in twenty 680 00:34:54,960 --> 00:34:58,319 Speaker 11: twenty three. That's about twenty two percent higher than we 681 00:34:58,360 --> 00:35:00,799 Speaker 11: saw in previous years. And then what we're doing this 682 00:35:00,880 --> 00:35:03,080 Speaker 11: report is to have a twenty thirty five view, so 683 00:35:03,120 --> 00:35:06,360 Speaker 11: in the next decade, what do we investments and capacity 684 00:35:06,520 --> 00:35:10,560 Speaker 11: editions look like around these clean sectors. There is actually 685 00:35:10,600 --> 00:35:13,239 Speaker 11: a lot that's that's bound to happen in terms of 686 00:35:13,360 --> 00:35:17,000 Speaker 11: just what's committed to date happening over the next few years, 687 00:35:17,680 --> 00:35:20,160 Speaker 11: and that's likely to unlock a lot more investment over 688 00:35:20,200 --> 00:35:22,600 Speaker 11: the twenty thirty five period. I can tell you a 689 00:35:22,640 --> 00:35:24,040 Speaker 11: little bit more about that if you want to hear 690 00:35:24,080 --> 00:35:24,440 Speaker 11: about it. 691 00:35:24,600 --> 00:35:26,640 Speaker 2: Well, I guess one of the risks is just political 692 00:35:26,719 --> 00:35:29,319 Speaker 2: risks to those numbers, to that type of investment. If 693 00:35:29,360 --> 00:35:30,920 Speaker 2: we get a change in Congress, if we get to 694 00:35:30,960 --> 00:35:33,239 Speaker 2: change in the White House more towards re Republican is 695 00:35:33,239 --> 00:35:36,120 Speaker 2: there are there risks to some of those moneies that 696 00:35:36,160 --> 00:35:38,000 Speaker 2: have already been committed or earmarked. 697 00:35:38,880 --> 00:35:41,799 Speaker 11: Yeah, So what we did, I guess the way we 698 00:35:41,840 --> 00:35:43,759 Speaker 11: think about it is to look at what is our 699 00:35:43,800 --> 00:35:46,960 Speaker 11: expectation in the market out to twenty thirty five. So 700 00:35:47,000 --> 00:35:49,759 Speaker 11: for some context, our expectation in terms of our forecast 701 00:35:49,800 --> 00:35:53,600 Speaker 11: for winds, solar and storage installations is about one point 702 00:35:53,680 --> 00:35:58,239 Speaker 11: one tarrawat of new yeah, new capacity editions out to 703 00:35:58,280 --> 00:36:03,319 Speaker 11: twenty thirty five. Context, in the US power grid, as 704 00:36:03,360 --> 00:36:05,440 Speaker 11: of the end of twenty twenty three, there was about 705 00:36:05,480 --> 00:36:10,200 Speaker 11: one point two trawat of cumulative installed power generation capacity. 706 00:36:10,480 --> 00:36:13,400 Speaker 11: So essentially we're about doubling in terms of capacity and 707 00:36:13,440 --> 00:36:16,200 Speaker 11: the grid out to twenty thirty five. But that addition 708 00:36:16,360 --> 00:36:18,560 Speaker 11: is just from when solar and storage, which is really 709 00:36:18,600 --> 00:36:21,960 Speaker 11: impressive in terms of the risk factors to your question. 710 00:36:22,719 --> 00:36:26,120 Speaker 11: So the way we were investigating that in the report, 711 00:36:26,200 --> 00:36:28,319 Speaker 11: or analyze that in the report is to try to 712 00:36:28,320 --> 00:36:31,520 Speaker 11: think about us in the worst case scenario. So there's 713 00:36:31,560 --> 00:36:33,640 Speaker 11: a lot of investment that's already been committed at the 714 00:36:33,680 --> 00:36:36,239 Speaker 11: back of the investment tax credits and some of the 715 00:36:36,280 --> 00:36:39,720 Speaker 11: other incentives in the Inflation Reduction Act, but we wanted 716 00:36:39,719 --> 00:36:43,040 Speaker 11: to look at, Okay, so what happens if these incentives, 717 00:36:43,080 --> 00:36:47,720 Speaker 11: So the investment tax credit actually gets repealed right away, 718 00:36:48,000 --> 00:36:50,279 Speaker 11: which is of course a worst case scenario. It's not 719 00:36:50,400 --> 00:36:52,680 Speaker 11: our expectation of what will happen, but it gives us 720 00:36:52,680 --> 00:36:57,200 Speaker 11: some benchmark of what could happen. And under that scenario, 721 00:36:57,200 --> 00:36:59,640 Speaker 11: it's about a seventeen percent decline, so it's a fifth 722 00:36:59,680 --> 00:37:02,920 Speaker 11: of of capacity that gets dropped or not built in 723 00:37:02,960 --> 00:37:06,719 Speaker 11: the twenty thirty five time frame. One additional component is 724 00:37:06,880 --> 00:37:09,840 Speaker 11: like if that actually were to happen, is that projects 725 00:37:09,840 --> 00:37:12,440 Speaker 11: would try to rush to try to be built before 726 00:37:12,520 --> 00:37:15,960 Speaker 11: that step down happens, which could happen in the end 727 00:37:15,960 --> 00:37:18,560 Speaker 11: of twenty twenty six or the end of twenty twenty five. 728 00:37:19,040 --> 00:37:22,120 Speaker 11: So essentially there's a rush to build a decline in 729 00:37:22,160 --> 00:37:24,160 Speaker 11: the market, and then the market picks up up again, 730 00:37:24,280 --> 00:37:26,279 Speaker 11: but not at the same rate or not to the 731 00:37:26,280 --> 00:37:29,160 Speaker 11: same degree as it would in a non repeal scenario. 732 00:37:29,320 --> 00:37:30,359 Speaker 11: So that's how we looked at. 733 00:37:30,239 --> 00:37:33,120 Speaker 3: That walk us through the key fundamentals that you think 734 00:37:33,160 --> 00:37:35,400 Speaker 3: have helped build the industry. 735 00:37:35,520 --> 00:37:39,080 Speaker 11: Absolutely, so I think we're obviously in an acceleration mode 736 00:37:39,080 --> 00:37:41,839 Speaker 11: at the moment. It's almost like certain key elements are 737 00:37:41,920 --> 00:37:44,680 Speaker 11: keeping the market from growing as quickly as it could. 738 00:37:45,239 --> 00:37:48,200 Speaker 11: But in terms of the fundamentals in the past, major 739 00:37:48,239 --> 00:37:50,960 Speaker 11: one is the fact that the cost of wind, solar, 740 00:37:50,960 --> 00:37:54,080 Speaker 11: and storage and batteries has come down significantly over the 741 00:37:54,120 --> 00:37:58,440 Speaker 11: last decades. That's really made the cost of these technologies 742 00:37:58,480 --> 00:38:03,200 Speaker 11: competitive against conventional generation, conventional fossil fuel generators in the 743 00:38:03,280 --> 00:38:06,680 Speaker 11: US that would be trying to displace gas, and we 744 00:38:06,760 --> 00:38:08,719 Speaker 11: do see in most of the markets of the US 745 00:38:08,800 --> 00:38:11,600 Speaker 11: wind and solar are competitive against gas. Of course, they 746 00:38:11,600 --> 00:38:14,520 Speaker 11: don't deliver energy at all, like twenty four to seven, 747 00:38:14,600 --> 00:38:18,000 Speaker 11: and that's where batteries comes in. So the cost of batteries, 748 00:38:18,320 --> 00:38:21,920 Speaker 11: like specifically Liteman batteries has fallen by more than ninety 749 00:38:21,920 --> 00:38:24,360 Speaker 11: percent over the last decade, which is significant. 750 00:38:24,480 --> 00:38:27,239 Speaker 2: How's the US doing quote some really big numbers here 751 00:38:27,400 --> 00:38:30,680 Speaker 2: in terms of investment in tara watts and all those. 752 00:38:31,120 --> 00:38:33,160 Speaker 2: How are we versus the rest of the world in 753 00:38:33,239 --> 00:38:35,520 Speaker 2: terms of, you know, just in terms of really embracing 754 00:38:35,880 --> 00:38:36,680 Speaker 2: cleaner energy. 755 00:38:37,400 --> 00:38:40,560 Speaker 11: Yeah, so on a country level basis, the US is 756 00:38:40,560 --> 00:38:43,840 Speaker 11: probably second in terms of stacked investments in these sectors. 757 00:38:44,200 --> 00:38:46,880 Speaker 11: That's because China is really the giant in terms of 758 00:38:46,920 --> 00:38:50,760 Speaker 11: attracting new investment into win, solar, and even batteries segments. 759 00:38:51,680 --> 00:38:53,239 Speaker 11: And there is a bit of a pickup game in 760 00:38:53,280 --> 00:38:55,000 Speaker 11: terms of some of the key segments in terms of 761 00:38:55,080 --> 00:38:58,319 Speaker 11: the manufacturing side, so the supply chain and trying to 762 00:38:58,320 --> 00:39:00,800 Speaker 11: invest that and bring that into the US. With mixed 763 00:39:00,960 --> 00:39:04,880 Speaker 11: levels of comparative success across different sectors. 764 00:39:05,080 --> 00:39:08,880 Speaker 3: What should we expect for wind and solar capacity build 765 00:39:09,000 --> 00:39:11,560 Speaker 3: in twenty twenty five for those forecasts. 766 00:39:11,719 --> 00:39:14,520 Speaker 11: Yeah, so we're expecting most of them to grow. That's 767 00:39:14,520 --> 00:39:18,600 Speaker 11: certainly true for solar and storage. When when more or 768 00:39:18,719 --> 00:39:24,640 Speaker 11: less keeping keeping a pace, generally, our expectation is that 769 00:39:24,680 --> 00:39:27,400 Speaker 11: there will be more investment going in. And that's because 770 00:39:27,840 --> 00:39:30,080 Speaker 11: there's just a lot of projects in the pipeline that 771 00:39:30,120 --> 00:39:34,600 Speaker 11: are essentially contracted to meet utility demands. So a lot 772 00:39:34,640 --> 00:39:37,480 Speaker 11: of the US utilities have been you know, contracting work 773 00:39:37,600 --> 00:39:40,960 Speaker 11: in power because they, as I said, they're cheaper, but 774 00:39:41,040 --> 00:39:44,160 Speaker 11: also because they might have some specific goals in order 775 00:39:44,239 --> 00:39:48,920 Speaker 11: to decarbonize. I guess. The other factors is just the 776 00:39:49,000 --> 00:39:51,080 Speaker 11: corporate side, so a lot of the you know, the 777 00:39:51,080 --> 00:39:54,680 Speaker 11: Amazons and Googles, these companies have increasingly also been looking 778 00:39:54,680 --> 00:39:58,960 Speaker 11: for cleaner portfolios of energy generation to be meeting their demand. 779 00:39:59,640 --> 00:40:03,960 Speaker 2: Yeah, Sacchini head energy Storage at Bloomberg at an EF, 780 00:40:03,960 --> 00:40:06,359 Speaker 2: thanks so much for joining us here. Again. The good 781 00:40:06,360 --> 00:40:08,680 Speaker 2: folks at the Bloomberg a ne EF, they look at 782 00:40:09,120 --> 00:40:12,320 Speaker 2: the I guess within Bloomberg they really track and analyze 783 00:40:12,320 --> 00:40:15,040 Speaker 2: the energy transition on a global scale. So they're really 784 00:40:15,080 --> 00:40:18,319 Speaker 2: doing some cutting edge work there, which is a keen 785 00:40:18,360 --> 00:40:20,840 Speaker 2: importance to a lot of folks, including the Bloomberg criminal 786 00:40:21,239 --> 00:40:23,640 Speaker 2: customers out there, So we appreciate getting a few minutes 787 00:40:23,840 --> 00:40:24,920 Speaker 2: of their time every week. 788 00:40:25,160 --> 00:40:29,640 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apples, Spotify, 789 00:40:29,880 --> 00:40:33,080 Speaker 1: and anywhere else you get your podcasts. Listen live each 790 00:40:33,080 --> 00:40:36,480 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot com, 791 00:40:36,560 --> 00:40:39,959 Speaker 1: the iHeartRadio app tune In, and the Bloomberg Business app. 792 00:40:40,080 --> 00:40:43,200 Speaker 1: You can also watch US live every weekday on YouTube 793 00:40:43,320 --> 00:40:45,160 Speaker 1: and always on the Bloomberg terminal