1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,880 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business app. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,040 Speaker 1: us live on YouTube. 6 00:00:27,320 --> 00:00:30,320 Speaker 2: Joining us now he is the Mayor of New York City. 7 00:00:30,400 --> 00:00:33,680 Speaker 2: We have a two hour conversation to squeeze into a 8 00:00:33,680 --> 00:00:37,280 Speaker 2: polite twenty minutes. And there are many many taught us 9 00:00:37,400 --> 00:00:39,760 Speaker 2: to talk of. I want to talk of the immediate news. 10 00:00:40,640 --> 00:00:43,159 Speaker 2: My father came home to College Point Long Island. In 11 00:00:43,200 --> 00:00:46,960 Speaker 2: the distance was LaGuardia. What a celebration for New York 12 00:00:46,960 --> 00:00:51,720 Speaker 2: the rebuilding of LaGuardia. Halfway there is Bayside High School 13 00:00:52,159 --> 00:00:54,320 Speaker 2: where you used to darken the door, and let's not 14 00:00:54,440 --> 00:00:57,279 Speaker 2: mince words, it was a challenge Mayor Adams. 15 00:00:57,000 --> 00:00:57,960 Speaker 3: A few years ago. 16 00:00:58,240 --> 00:01:01,640 Speaker 2: I want you to speak right now to the teachers 17 00:01:01,720 --> 00:01:04,800 Speaker 2: of Bayside High School who went with the other guy 18 00:01:04,920 --> 00:01:06,759 Speaker 2: yesterday in their union endorsement. 19 00:01:07,240 --> 00:01:09,760 Speaker 4: Well, when you look at what we were able to 20 00:01:09,840 --> 00:01:15,440 Speaker 4: accomplish here in the city, we've outpaced the state, and 21 00:01:15,480 --> 00:01:18,200 Speaker 4: reading and math got so much more to do. But 22 00:01:18,280 --> 00:01:22,800 Speaker 4: also we're developing the fullness of our children, teaching them meditation, 23 00:01:23,000 --> 00:01:26,960 Speaker 4: breathing exercises, healthier food to eat, so our children are 24 00:01:27,000 --> 00:01:30,280 Speaker 4: not only academically smart, but we want them to be 25 00:01:30,280 --> 00:01:33,360 Speaker 4: emotionally intelligent. And at the same time of what we 26 00:01:33,440 --> 00:01:36,200 Speaker 4: have done in our educational system for one hundred and 27 00:01:36,240 --> 00:01:40,320 Speaker 4: thirty thousand children in pre K three K of the 28 00:01:40,640 --> 00:01:45,720 Speaker 4: universal after School program and paid our teachers a dawn 29 00:01:45,880 --> 00:01:49,280 Speaker 4: Good union contract to make sure that they're having a 30 00:01:49,400 --> 00:01:50,400 Speaker 4: wage that they deserve. 31 00:01:50,600 --> 00:01:53,920 Speaker 2: My youngest child, afterthought, went to a school with eleven 32 00:01:54,040 --> 00:01:58,120 Speaker 2: languages in first grade. You have Ackman and Lobe wall 33 00:01:58,160 --> 00:02:02,800 Speaker 2: Street support. They talked charter schools, Can you reaffirm here 34 00:02:03,440 --> 00:02:07,920 Speaker 2: a better education system away from union dynamics and the 35 00:02:07,960 --> 00:02:08,960 Speaker 2: silliness of it all. 36 00:02:09,320 --> 00:02:12,480 Speaker 4: It's so important when you think about when a parent 37 00:02:12,680 --> 00:02:15,520 Speaker 4: drops their child off to school, they're not asking if 38 00:02:15,560 --> 00:02:17,680 Speaker 4: it's a charter school, if it's a baroq, if it's 39 00:02:17,680 --> 00:02:20,920 Speaker 4: a body school. They want a quality education in a 40 00:02:20,960 --> 00:02:21,840 Speaker 4: safe environment. 41 00:02:22,040 --> 00:02:23,600 Speaker 5: And that is what we've produced. 42 00:02:23,919 --> 00:02:26,560 Speaker 4: And you know, union heads don't always speak on behalf 43 00:02:26,560 --> 00:02:30,160 Speaker 4: of the rank and file teachers population of I know 44 00:02:30,360 --> 00:02:33,680 Speaker 4: those teachers appreciate what I have done as the mayor 45 00:02:33,919 --> 00:02:37,160 Speaker 4: and what this administration has done, and many of those 46 00:02:37,160 --> 00:02:38,520 Speaker 4: teachers will be voting for me. 47 00:02:39,360 --> 00:02:39,880 Speaker 5: Mister mayor. 48 00:02:40,120 --> 00:02:44,080 Speaker 6: What statement were the Democratic voters making when they selected 49 00:02:44,080 --> 00:02:47,320 Speaker 6: mister Mandani in the primary? Maybe here in New York 50 00:02:47,360 --> 00:02:48,760 Speaker 6: City certainly, but maybe even n Ashley. 51 00:02:49,639 --> 00:02:51,920 Speaker 4: Let's let's examine this, and I think that's something that 52 00:02:52,240 --> 00:02:56,800 Speaker 4: has been not really understood. Nine percent of voters voted, 53 00:02:57,000 --> 00:02:59,400 Speaker 4: nine percent, ninety one percent. 54 00:02:59,680 --> 00:03:00,880 Speaker 5: They have yet to speak. 55 00:03:01,480 --> 00:03:05,960 Speaker 4: Two point five million Democrats, a million independents, of several 56 00:03:06,040 --> 00:03:10,000 Speaker 4: hundred thousand Republicans. This is the moment when we're going 57 00:03:10,080 --> 00:03:13,000 Speaker 4: to see what New Yorkers want. Do you want someone 58 00:03:13,040 --> 00:03:16,480 Speaker 4: who just fund defunded, just band police departments. Do you 59 00:03:16,480 --> 00:03:19,919 Speaker 4: want someone that's telling high end commerners to leave our 60 00:03:19,960 --> 00:03:23,959 Speaker 4: city without understandity economics that they bring. Do you want 61 00:03:23,960 --> 00:03:27,400 Speaker 4: to stop our progress and one of the healthiest economies 62 00:03:27,440 --> 00:03:31,640 Speaker 4: we've ever had and public safety? He wants to empty 63 00:03:31,760 --> 00:03:35,160 Speaker 4: Reikers Island, seventy four hundred of the most dangerous people 64 00:03:35,160 --> 00:03:37,760 Speaker 4: in our city. He wants to empty Rykers Island and 65 00:03:37,800 --> 00:03:40,480 Speaker 4: have them come back to the communities that they offended. 66 00:03:40,720 --> 00:03:43,040 Speaker 5: And so New Yorkers are going to be able to 67 00:03:43,120 --> 00:03:44,440 Speaker 5: hear clear. 68 00:03:44,360 --> 00:03:46,840 Speaker 4: Messages of what the future looks like and what that 69 00:03:46,880 --> 00:03:48,720 Speaker 4: future looks like under him. 70 00:03:49,040 --> 00:03:52,720 Speaker 6: Current polling Slingshot strategies have mister Moundani at first at 71 00:03:52,760 --> 00:03:55,320 Speaker 6: thirty five percent of the vote, Governor Cuomo second at 72 00:03:55,320 --> 00:03:58,120 Speaker 6: twenty five percent, mister Sliov fourteen percent, and you at 73 00:03:58,120 --> 00:04:00,600 Speaker 6: eleven percent. What does that poll tell you? What do 74 00:04:00,640 --> 00:04:02,360 Speaker 6: you need to do to change those? 75 00:04:03,080 --> 00:04:07,120 Speaker 4: It tells me to listen to polls twenty one They 76 00:04:07,200 --> 00:04:12,960 Speaker 4: had me thirteen percent behind Andrew Yang, thirteen percent behind 77 00:04:13,000 --> 00:04:15,720 Speaker 4: Andrew Yang. And we're not calling him, but you may. 78 00:04:15,560 --> 00:04:17,760 Speaker 3: Not find Governor of Cuomo. What do you need? Have 79 00:04:17,839 --> 00:04:19,360 Speaker 3: you spoken to Governor Cuomo yet? 80 00:04:19,400 --> 00:04:22,960 Speaker 5: In this communicated with him several times. 81 00:04:23,520 --> 00:04:26,640 Speaker 4: Andrew has a history of doing things when it comes 82 00:04:26,640 --> 00:04:29,599 Speaker 4: down to African American candidates. He did it to Carl 83 00:04:29,640 --> 00:04:31,880 Speaker 4: McCall when he ran for governor. He did it to 84 00:04:32,000 --> 00:04:36,200 Speaker 4: David bat Patterson when he who spoke recently exactly he 85 00:04:36,279 --> 00:04:39,679 Speaker 4: did it. He did it to Charlie King when Charlie 86 00:04:39,760 --> 00:04:42,119 Speaker 4: King ran for ag He did it to Keith Wright. 87 00:04:42,560 --> 00:04:46,040 Speaker 5: He has a history and I think that reporting or no. 88 00:04:46,360 --> 00:04:49,120 Speaker 4: Sabotage in the racing trying to compel them to get 89 00:04:49,120 --> 00:04:52,559 Speaker 4: out of the race. He underestimated Eric Adams, a former 90 00:04:52,640 --> 00:04:55,880 Speaker 4: cop that knows what a bully looks like. And I 91 00:04:55,920 --> 00:04:59,680 Speaker 4: am going to complete this race. My campaign has just started. 92 00:05:00,080 --> 00:05:03,520 Speaker 4: I have not been campaigning and not have an opportunity 93 00:05:03,600 --> 00:05:04,320 Speaker 4: to speak to voters. 94 00:05:04,360 --> 00:05:05,200 Speaker 3: You're going to complete this. 95 00:05:05,279 --> 00:05:07,760 Speaker 2: Let's be clear for us, particularly for our national audience. 96 00:05:07,880 --> 00:05:10,279 Speaker 2: Eric Adams with us here at this interesting time for 97 00:05:10,360 --> 00:05:13,719 Speaker 2: the city and a course for the nation is well. 98 00:05:13,760 --> 00:05:17,360 Speaker 2: Thank you for joining Bloomberg surveillance on television in radio, 99 00:05:17,520 --> 00:05:20,560 Speaker 2: Mayor Adams. But the critical distinction here is the timeline 100 00:05:20,920 --> 00:05:25,520 Speaker 2: to the election. When does the Adams Cuomo tension need 101 00:05:25,560 --> 00:05:29,680 Speaker 2: to get fixed to come to an efficacious outcome for 102 00:05:29,760 --> 00:05:31,880 Speaker 2: the people against mister mcdonnie. 103 00:05:31,960 --> 00:05:32,960 Speaker 5: Think about this for a moment. 104 00:05:33,800 --> 00:05:37,200 Speaker 4: Andrew knew that Madonnie was going to be on the 105 00:05:37,200 --> 00:05:39,239 Speaker 4: ballot on a Brokens family party line. 106 00:05:39,320 --> 00:05:39,800 Speaker 5: He knew that. 107 00:05:40,520 --> 00:05:43,160 Speaker 4: He knew I was going to be as a Democrat 108 00:05:43,520 --> 00:05:46,839 Speaker 4: on my own line. He knew that, so why would 109 00:05:46,839 --> 00:05:51,440 Speaker 4: he also do an independent line. He created this scenario 110 00:05:51,720 --> 00:05:54,919 Speaker 4: because he thought by doing so, he can force me. 111 00:05:55,440 --> 00:05:59,799 Speaker 2: Saying that Andrew Croomo created mister Mucdoni's campaign. 112 00:06:00,120 --> 00:06:04,839 Speaker 4: He created this scenario that created an opportunity to divide 113 00:06:04,920 --> 00:06:09,279 Speaker 4: the vote instead of being unified around Madonni. This was 114 00:06:09,400 --> 00:06:13,920 Speaker 4: his creation and it's typical of how he creates these scenarios. 115 00:06:14,160 --> 00:06:15,560 Speaker 5: We're not going to succumb to that. 116 00:06:15,720 --> 00:06:18,799 Speaker 4: He had his chance, twenty five million dollars he spent, 117 00:06:19,160 --> 00:06:22,360 Speaker 4: he got his message out, he didn't campaign, he didn't 118 00:06:22,400 --> 00:06:23,920 Speaker 4: go out and interact with voters. 119 00:06:24,160 --> 00:06:25,040 Speaker 5: He created it. 120 00:06:25,320 --> 00:06:28,440 Speaker 4: Now it's time for me to have an opportunity and 121 00:06:28,480 --> 00:06:30,080 Speaker 4: we will win and beat him. 122 00:06:30,360 --> 00:06:32,760 Speaker 6: Has Governor Cuomo asked you not to run, or if 123 00:06:32,800 --> 00:06:34,360 Speaker 6: you asked Governor Cuomo not to. 124 00:06:34,320 --> 00:06:38,320 Speaker 4: Run both when he spoke, we both interacted and I 125 00:06:38,360 --> 00:06:40,159 Speaker 4: said you should step aside. 126 00:06:39,800 --> 00:06:41,360 Speaker 5: For the good of this city. 127 00:06:42,320 --> 00:06:44,480 Speaker 4: We both agreed the city were move in the wrong 128 00:06:44,560 --> 00:06:47,559 Speaker 4: direction under the primary winner, and I think he should 129 00:06:47,560 --> 00:06:48,279 Speaker 4: do the right thing. 130 00:06:49,080 --> 00:06:51,120 Speaker 6: If he doesn't do the right thing. From your perspective, 131 00:06:51,120 --> 00:06:52,520 Speaker 6: would you run as a Republican? 132 00:06:53,560 --> 00:06:58,200 Speaker 4: No, Curtis lee Or is a Republican primary winner. He's 133 00:06:58,240 --> 00:07:00,479 Speaker 4: the winner of that party. It's too late to switch 134 00:07:01,000 --> 00:07:04,520 Speaker 4: that right now. I'm going to give votes from all 135 00:07:04,600 --> 00:07:07,080 Speaker 4: New Yorkers because when New York is one safe street. 136 00:07:07,200 --> 00:07:09,840 Speaker 4: They're not asking if they're a Democrat or Republican. They 137 00:07:09,880 --> 00:07:11,000 Speaker 4: want their street safe. 138 00:07:11,080 --> 00:07:14,000 Speaker 2: The constant, the Mayor of our interviews and Surveillance, has 139 00:07:14,000 --> 00:07:17,200 Speaker 2: been committed to talking about this debate. But it's national 140 00:07:17,520 --> 00:07:21,239 Speaker 2: ramifications and you mentioned it earlier. The New York Police 141 00:07:21,240 --> 00:07:24,160 Speaker 2: Department is a general rule. I'm speaking as an amateur. 142 00:07:24,560 --> 00:07:28,160 Speaker 2: We're three thousand down on the body count of the 143 00:07:28,160 --> 00:07:30,560 Speaker 2: New York Police Department. What are you going to do 144 00:07:30,720 --> 00:07:34,440 Speaker 2: day one on a second term mayor to get the 145 00:07:34,720 --> 00:07:37,760 Speaker 2: NYPD back to a forward motion. 146 00:07:38,120 --> 00:07:40,720 Speaker 4: Well, that urgency can't happen on the re election is 147 00:07:40,720 --> 00:07:44,520 Speaker 4: happening now. We're in the place to bring on four 148 00:07:44,680 --> 00:07:48,760 Speaker 4: thousand more offices by way they're starting now. We have 149 00:07:48,800 --> 00:07:51,560 Speaker 4: a class that's in now. By the end of the year, 150 00:07:52,120 --> 00:07:55,280 Speaker 4: we're going to be substantially higher. And part of the 151 00:07:55,360 --> 00:07:58,080 Speaker 4: problem is a lot of the large classes. We saw 152 00:07:58,480 --> 00:08:01,760 Speaker 4: a lttrition, We saw a lot of offices retirement. That 153 00:08:01,880 --> 00:08:04,480 Speaker 4: is why I was imperative as the mayor that I 154 00:08:04,560 --> 00:08:08,000 Speaker 4: settled a good contract with our union members. 155 00:08:08,280 --> 00:08:10,400 Speaker 2: Eric Adams with us here the Mayor of New York City. 156 00:08:10,400 --> 00:08:13,840 Speaker 2: Welcome all your nationwide. How you listen on your commute. 157 00:08:13,880 --> 00:08:17,840 Speaker 2: Good Morning ninety FM and Washington ninety two nine FM 158 00:08:17,880 --> 00:08:20,440 Speaker 2: in Boston, of course, Bloomberg eleven three to zero here 159 00:08:20,480 --> 00:08:24,040 Speaker 2: in New York on YouTube, our new digital platform. Mayor 160 00:08:24,120 --> 00:08:28,240 Speaker 2: Adams watches every day. Subscribe to Bloomberg Podcast. 161 00:08:28,320 --> 00:08:30,840 Speaker 6: Paul, mister Mary, let's talk about immigration right off the 162 00:08:30,840 --> 00:08:33,080 Speaker 6: tip of Manhattan. We've got the Statue of Liberty that 163 00:08:33,200 --> 00:08:36,839 Speaker 6: means a lot to a lot of New Yorkers. How 164 00:08:36,880 --> 00:08:40,000 Speaker 6: do you think about immigration in this city and maybe 165 00:08:40,000 --> 00:08:43,040 Speaker 6: how does that different from what President Trump thinks about Well, 166 00:08:44,000 --> 00:08:44,440 Speaker 6: and you're. 167 00:08:44,360 --> 00:08:48,560 Speaker 4: Right, that statue represents a lot, and particularly when you 168 00:08:48,600 --> 00:08:51,520 Speaker 4: look at the fact that my nineteen year uncle died 169 00:08:51,600 --> 00:08:55,840 Speaker 4: to protect the right of being an American and Vietnam War. 170 00:08:56,320 --> 00:08:59,480 Speaker 4: But think about this one moment coming here. You should 171 00:08:59,480 --> 00:09:04,199 Speaker 4: not be inflicting violence on undocumented New Yorkers or documented 172 00:09:04,280 --> 00:09:08,160 Speaker 4: New Yorkers. We manage a humanitarian crisis with two hundred 173 00:09:08,160 --> 00:09:11,400 Speaker 4: and thirty seven thousand microcin or silmce seecret and I 174 00:09:11,520 --> 00:09:14,199 Speaker 4: once slept on our streets. Every one of those children 175 00:09:14,280 --> 00:09:17,080 Speaker 4: were educated in our school system. And I'm going to 176 00:09:17,400 --> 00:09:20,600 Speaker 4: coordinate with federal authorities to go after those who are 177 00:09:20,720 --> 00:09:23,839 Speaker 4: dangerous at the Veniceth whaling gang members we took down 178 00:09:24,440 --> 00:09:28,760 Speaker 4: that were selling drugs, forcing women into prostitution who were undocumented. 179 00:09:29,520 --> 00:09:33,000 Speaker 4: The law does not allow us to collaborate for civil enforcement. 180 00:09:33,120 --> 00:09:35,840 Speaker 4: We won't do that, but we will collaborate to go 181 00:09:35,880 --> 00:09:36,800 Speaker 4: after dangerous people. 182 00:09:36,960 --> 00:09:39,840 Speaker 2: I should mention again Good Morning on Bloomberg Television with 183 00:09:39,920 --> 00:09:42,680 Speaker 2: Katie Greifeld in Snli Bassk as. 184 00:09:42,520 --> 00:09:44,360 Speaker 3: Well Mary Adams. Here's the headline. 185 00:09:44,440 --> 00:09:46,400 Speaker 2: I talked to Laura Aamais and this is just so 186 00:09:47,000 --> 00:09:51,400 Speaker 2: important within her expertise of this city. The LA Times 187 00:09:51,840 --> 00:09:57,040 Speaker 2: heavily armed immigration agents to send on LA's MacArthur Park. 188 00:09:57,320 --> 00:10:00,360 Speaker 2: If I'm having a beverage at the Sunset Tower Hotel, 189 00:10:00,520 --> 00:10:03,880 Speaker 2: I look across the opulence of LA to a really 190 00:10:04,080 --> 00:10:07,280 Speaker 2: tough part of town. And the other day we saw 191 00:10:08,000 --> 00:10:14,560 Speaker 2: military enforcement wrapped around these deportations and ice marching across 192 00:10:14,880 --> 00:10:19,440 Speaker 2: MacArthur Park in Los Angeles. The critics to you will say, 193 00:10:19,480 --> 00:10:22,720 Speaker 2: you're in Trump's back pocket. How are you going to 194 00:10:22,800 --> 00:10:27,080 Speaker 2: push against the president and his administration? If we have 195 00:10:27,200 --> 00:10:28,800 Speaker 2: those tensions in New York. 196 00:10:29,000 --> 00:10:31,000 Speaker 4: You know, one of the best saying is if you 197 00:10:31,720 --> 00:10:34,760 Speaker 4: tell a lie long enough, you think it's true, but 198 00:10:34,800 --> 00:10:37,480 Speaker 4: we need to deal with the facts here. We took 199 00:10:37,520 --> 00:10:41,760 Speaker 4: this administration to court on things we thought were wrong, 200 00:10:42,160 --> 00:10:45,839 Speaker 4: more than any mayor in the country, more than any 201 00:10:45,920 --> 00:10:47,040 Speaker 4: mayor in the country. 202 00:10:47,440 --> 00:10:48,000 Speaker 5: But when I. 203 00:10:48,080 --> 00:10:52,080 Speaker 4: Needed the President to lift the stop broke order on 204 00:10:52,200 --> 00:10:55,640 Speaker 4: a multi billion dollar wind farm project in Sunset Park, 205 00:10:56,240 --> 00:10:59,240 Speaker 4: fifteen hundred union jobs, five hundred thousand homes would have 206 00:10:59,280 --> 00:11:03,280 Speaker 4: benefited from I flew to Washington, had a healthy conversation 207 00:11:03,400 --> 00:11:07,080 Speaker 4: with him. He lifted the stopbroke order. Same relationship I 208 00:11:07,120 --> 00:11:10,160 Speaker 4: had with President Biden. Ten trips to Washington, two meetings 209 00:11:10,200 --> 00:11:12,960 Speaker 4: with the President to deal with law enforcement officer. I 210 00:11:13,080 --> 00:11:16,320 Speaker 4: nicknamed myself the Biden of Brooklyn. I work with presidents 211 00:11:16,320 --> 00:11:18,560 Speaker 4: out on war. With presidents. I have to deliver for 212 00:11:18,679 --> 00:11:21,680 Speaker 4: the City of New York, and it would be irresponsible 213 00:11:21,679 --> 00:11:22,720 Speaker 4: for any mayor not to do that. 214 00:11:22,760 --> 00:11:25,839 Speaker 2: But under the granularity of the selection in this it's 215 00:11:25,880 --> 00:11:28,520 Speaker 2: like Lindsey in the nineteen eighties or something I got 216 00:11:28,559 --> 00:11:31,760 Speaker 2: it can't keep tracking. Is Adam's an independent and Democrat 217 00:11:31,840 --> 00:11:32,559 Speaker 2: or Republican? 218 00:11:32,640 --> 00:11:34,560 Speaker 3: What is wait, we don't know this. 219 00:11:34,920 --> 00:11:39,120 Speaker 2: He's an independent mayor Adams. My team is listening to 220 00:11:39,200 --> 00:11:44,600 Speaker 2: this interview and there has to be a clarification of 221 00:11:44,640 --> 00:11:47,600 Speaker 2: your relationship with the President of the United States. When 222 00:11:47,640 --> 00:11:48,360 Speaker 2: will we see that. 223 00:11:48,679 --> 00:11:49,840 Speaker 5: I think you're seeing it now. 224 00:11:50,080 --> 00:11:54,120 Speaker 4: You're seeing a mayor that's defending and fighting for his 225 00:11:54,280 --> 00:11:57,560 Speaker 4: city in a responsible way. New York City is the 226 00:11:57,760 --> 00:12:02,240 Speaker 4: largest city in America. And if you're going to be 227 00:12:02,400 --> 00:12:05,680 Speaker 4: the mayor of that city and you are unwilling to 228 00:12:05,800 --> 00:12:09,120 Speaker 4: communicate with the President of the United States, if it's 229 00:12:09,160 --> 00:12:13,520 Speaker 4: Biden or Donald Trump, if it's a Democrat or Republican, 230 00:12:13,760 --> 00:12:18,440 Speaker 4: that's irresponsible. Governor Ku went to Washington several times. Mayors 231 00:12:18,480 --> 00:12:21,440 Speaker 4: across the country are going to Washington, and so for 232 00:12:21,520 --> 00:12:24,680 Speaker 4: anyone that states that the mayor of the largest city 233 00:12:24,720 --> 00:12:27,360 Speaker 4: in the country should not be communicating with the White House, 234 00:12:27,520 --> 00:12:30,880 Speaker 4: that's irresponsible. You're not delivering for your city. I must 235 00:12:30,920 --> 00:12:34,880 Speaker 4: deliver for New York. That is my primary goal, and 236 00:12:34,920 --> 00:12:36,240 Speaker 4: that's who I respond to. 237 00:12:36,480 --> 00:12:39,360 Speaker 6: Mister Merrick in terms of delivering for New York. New 238 00:12:39,440 --> 00:12:43,320 Speaker 6: York City cost of living has always been a key issue. 239 00:12:44,520 --> 00:12:45,280 Speaker 5: What is the plan? 240 00:12:45,400 --> 00:12:46,640 Speaker 7: Is there a solution here? 241 00:12:46,679 --> 00:12:51,000 Speaker 6: Because every day people keep coming into this island of Manhattan, 242 00:12:51,160 --> 00:12:52,040 Speaker 6: how do we house them all? 243 00:12:52,640 --> 00:12:55,120 Speaker 4: Twenty twenty one, when I ran for office, the top 244 00:12:55,160 --> 00:12:58,320 Speaker 4: issue was public safety and housing. 245 00:12:59,400 --> 00:12:59,880 Speaker 5: Follow that. 246 00:13:00,400 --> 00:13:03,800 Speaker 4: The reason you're seeing other conversations come on the floor 247 00:13:04,120 --> 00:13:07,480 Speaker 4: in this election is because we solved the public safety problem. 248 00:13:07,720 --> 00:13:10,640 Speaker 4: You see was Commissioner tish, we have the lowest numbers 249 00:13:10,679 --> 00:13:11,680 Speaker 4: of our state. 250 00:13:11,800 --> 00:13:14,160 Speaker 3: Let me interrupt. I will state where I live, folks. 251 00:13:14,320 --> 00:13:16,880 Speaker 2: I can state it's not as bad as it was 252 00:13:16,960 --> 00:13:20,559 Speaker 2: eighteen months ago. I still don't like it. But Mayor Adams, 253 00:13:20,559 --> 00:13:23,000 Speaker 2: I'm gonna cut you some slack here. It's better than 254 00:13:23,000 --> 00:13:23,280 Speaker 2: it was. 255 00:13:24,640 --> 00:13:27,840 Speaker 4: Four point six million people take our subway system every day. 256 00:13:27,840 --> 00:13:29,880 Speaker 4: We have an average of five felonies to day we 257 00:13:29,920 --> 00:13:33,640 Speaker 4: had a four point six million. These police officers are 258 00:13:33,640 --> 00:13:37,160 Speaker 4: doing an amazing job of keeping us safe. But the 259 00:13:37,200 --> 00:13:39,680 Speaker 4: issue of affordability, I know it so well. I grew 260 00:13:39,720 --> 00:13:43,040 Speaker 4: up in poverty. The primary winner grew up in luxury. 261 00:13:43,480 --> 00:13:46,199 Speaker 4: Yet that same luxury he grew up in. He stating 262 00:13:46,800 --> 00:13:50,840 Speaker 4: that we should not have a financial ecosystem. I want 263 00:13:50,880 --> 00:13:55,040 Speaker 4: the person that drives a limousine to have prosperity in 264 00:13:55,040 --> 00:13:57,160 Speaker 4: the city, and the person assists in the back of 265 00:13:57,160 --> 00:13:59,440 Speaker 4: the limousine, that's the city I want to live in. 266 00:14:00,240 --> 00:14:03,800 Speaker 2: Cheering again learns briefing me on this is you came 267 00:14:03,840 --> 00:14:06,600 Speaker 2: into office and there was a scandal. That scandal that 268 00:14:06,720 --> 00:14:08,640 Speaker 2: I don't even know. It's old news for me. It's 269 00:14:08,679 --> 00:14:12,040 Speaker 2: water well under the bridge. But there's a zeitgeist now 270 00:14:12,080 --> 00:14:15,040 Speaker 2: that you need to get a new team as the 271 00:14:15,080 --> 00:14:17,880 Speaker 2: next mayor, maybe involving some. 272 00:14:17,800 --> 00:14:19,239 Speaker 3: Of those people in limousines. 273 00:14:19,280 --> 00:14:21,880 Speaker 2: You're teamed up with Acman Lobe and the others within 274 00:14:21,920 --> 00:14:27,600 Speaker 2: the financial business. If the other guys elected Mandami, everywhere Johnna, 275 00:14:27,640 --> 00:14:29,680 Speaker 2: they move into Coral Gables or to Miami. 276 00:14:30,120 --> 00:14:31,120 Speaker 7: Oh both. 277 00:14:31,760 --> 00:14:34,600 Speaker 3: This is Sirian Manor. This is serious, tough. 278 00:14:34,640 --> 00:14:37,800 Speaker 2: You've got a mandate for five How many millions of 279 00:14:37,840 --> 00:14:39,320 Speaker 2: people are under your watch? 280 00:14:40,760 --> 00:14:43,600 Speaker 4: Eight point five million New York is three hundred and 281 00:14:43,680 --> 00:14:45,239 Speaker 4: twenty thousand employees. 282 00:14:45,400 --> 00:14:47,320 Speaker 2: I want you to talk to the one hundred thousand 283 00:14:47,440 --> 00:14:49,880 Speaker 2: fancy people in those limousines right now. 284 00:14:50,160 --> 00:14:52,200 Speaker 3: How are you going to get them not to move 285 00:14:52,240 --> 00:14:52,840 Speaker 3: to Florida. 286 00:14:53,600 --> 00:14:55,440 Speaker 4: Well, first of all, we're going to win this race, 287 00:14:56,040 --> 00:14:58,600 Speaker 4: and in my re election, we're going to continue what 288 00:14:58,760 --> 00:15:01,680 Speaker 4: we have done in New York. As we talk about 289 00:15:01,720 --> 00:15:05,240 Speaker 4: this business channel here, we have more jobs in the 290 00:15:05,280 --> 00:15:08,800 Speaker 4: city in the city's history, more small businesses in the 291 00:15:08,880 --> 00:15:13,320 Speaker 4: city's history. Bond raiders raised our bond as they saw 292 00:15:13,400 --> 00:15:15,600 Speaker 4: us navigate out of COVID migrance. 293 00:15:15,280 --> 00:15:16,880 Speaker 5: And asylum seekers crimes. 294 00:15:17,040 --> 00:15:19,880 Speaker 4: When you take twenty two thousand illegal guns off the 295 00:15:19,880 --> 00:15:23,360 Speaker 4: streets one hundred thousand illegal vehicles that were used in 296 00:15:23,440 --> 00:15:27,360 Speaker 4: current criminal behavior, you have stabilized the city. The economic 297 00:15:27,400 --> 00:15:30,280 Speaker 4: stimulus package of the city is public safety. 298 00:15:30,840 --> 00:15:33,520 Speaker 6: Well, mister Marrick, given where the polls have you now, 299 00:15:33,520 --> 00:15:35,240 Speaker 6: whether you believe the polls or not, what is your 300 00:15:35,280 --> 00:15:36,080 Speaker 6: path to victory? 301 00:15:36,080 --> 00:15:38,480 Speaker 5: Do you believe voters? New voters? 302 00:15:38,720 --> 00:15:42,520 Speaker 4: Ninety one percent of the voters did not participate in 303 00:15:42,560 --> 00:15:47,080 Speaker 4: this election. We have a substantial number. We're going to 304 00:15:47,200 --> 00:15:51,400 Speaker 4: register a million new voters over the next few months. 305 00:15:51,680 --> 00:15:54,640 Speaker 4: And everyone is talking about the excitement that is felt 306 00:15:54,720 --> 00:15:58,440 Speaker 4: over the primary winner. What they're missing is the excitement 307 00:15:58,680 --> 00:16:01,480 Speaker 4: that I am seeing every day of those who say 308 00:16:01,640 --> 00:16:02,520 Speaker 4: this can't happen. 309 00:16:02,600 --> 00:16:06,560 Speaker 6: How do you run against mister Monami? I'm sorry, how 310 00:16:06,600 --> 00:16:08,720 Speaker 6: would you run against him? How will you run against him? 311 00:16:08,800 --> 00:16:09,760 Speaker 5: You have to do it in layers. 312 00:16:09,800 --> 00:16:13,200 Speaker 4: You have to look at the various communities. And when 313 00:16:13,200 --> 00:16:15,920 Speaker 4: I say communities, I'm not talking about a geographical location. 314 00:16:16,000 --> 00:16:18,960 Speaker 4: I'm talking about issues. I met with two hundred and 315 00:16:19,000 --> 00:16:25,280 Speaker 4: fifty bodega and supermarket owners yesterday, a government run supermarket. 316 00:16:24,600 --> 00:16:27,360 Speaker 5: Would devastate their business. 317 00:16:27,640 --> 00:16:31,080 Speaker 4: I met with two hundred and fifty of the seven 318 00:16:31,200 --> 00:16:34,600 Speaker 4: hundred thousand small property owners. Can you imagine telling a 319 00:16:34,600 --> 00:16:37,640 Speaker 4: small property owner that you can never raise the rent 320 00:16:37,720 --> 00:16:40,600 Speaker 4: so that your rent rolls no longer equal the repairs 321 00:16:40,600 --> 00:16:43,240 Speaker 4: of the building. Those small property owners are going to 322 00:16:43,280 --> 00:16:46,720 Speaker 4: lose their property. All of these different communities are now 323 00:16:46,840 --> 00:16:50,760 Speaker 4: waking up and realizing what his policies would do to 324 00:16:50,840 --> 00:16:51,680 Speaker 4: them individually. 325 00:16:52,160 --> 00:16:54,360 Speaker 2: I'm going to make this the final question and come 326 00:16:54,480 --> 00:16:57,720 Speaker 2: full circle to where we are before. 327 00:16:57,440 --> 00:16:58,160 Speaker 3: And we'll again it. 328 00:16:58,200 --> 00:17:00,800 Speaker 2: Well, thank you so much on Bloomberg Television and worldwide 329 00:17:00,840 --> 00:17:05,159 Speaker 2: for being with us. The distinction of this campaign is 330 00:17:05,200 --> 00:17:07,680 Speaker 2: the kid you were and it was a train wreck. 331 00:17:07,920 --> 00:17:09,320 Speaker 3: When did your life turn around? 332 00:17:09,359 --> 00:17:09,479 Speaker 5: Well? 333 00:17:09,480 --> 00:17:12,800 Speaker 2: How old were you when your childhood became you as 334 00:17:12,840 --> 00:17:15,320 Speaker 2: a police officer? What was the age where the tip 335 00:17:15,800 --> 00:17:16,480 Speaker 2: about twenty? 336 00:17:16,520 --> 00:17:19,040 Speaker 5: About nineteen years old? 337 00:17:19,520 --> 00:17:22,080 Speaker 2: The parents of that nineteen year old bratt, whoever they 338 00:17:22,080 --> 00:17:26,960 Speaker 2: are today, Okay, they are voting for the tradition. 339 00:17:26,840 --> 00:17:28,200 Speaker 3: Of Mario Cuomo. 340 00:17:28,760 --> 00:17:32,160 Speaker 2: How do you get them to shift from Mario Cuomo's 341 00:17:32,200 --> 00:17:35,199 Speaker 2: son over to Eric Adams, how do you get that 342 00:17:35,280 --> 00:17:41,359 Speaker 2: conservative black public safety electorate to turn and vote for you? 343 00:17:41,560 --> 00:17:43,480 Speaker 5: Well, they voted for me in twenty twenty one. 344 00:17:43,560 --> 00:17:46,119 Speaker 4: And remember this as we reflect when this see election 345 00:17:46,640 --> 00:17:49,639 Speaker 4: of you know, my first job at twelve years old 346 00:17:49,760 --> 00:17:53,080 Speaker 4: as a paperboy, then becoming a dishwasher, then working in 347 00:17:53,119 --> 00:17:56,600 Speaker 4: the firelroom of Blue Cross, Blue Shield, rooking in the 348 00:17:56,640 --> 00:18:00,800 Speaker 4: fowl and Pete. Mit you that long leg legacy of 349 00:18:00,880 --> 00:18:04,040 Speaker 4: blue collar work is helping me understand the needs of 350 00:18:04,040 --> 00:18:05,720 Speaker 4: the working class people in the city. 351 00:18:05,920 --> 00:18:08,080 Speaker 3: Mary Adams, thank you so much for joining Bloomberg. 352 00:18:08,480 --> 00:18:10,639 Speaker 5: Great to be appreciate it. 353 00:18:10,720 --> 00:18:14,000 Speaker 2: He is Eric Adams of New York City. 354 00:18:14,000 --> 00:18:22,919 Speaker 1: Here you're listening to the Bloomberg Surveillance Podcast. Catch us 355 00:18:22,960 --> 00:18:26,320 Speaker 1: live weekday afternoons from seven to ten am Eastern Listen 356 00:18:26,359 --> 00:18:29,920 Speaker 1: on Applecarplay and Android Otto with the Bloomberg Business app, 357 00:18:30,119 --> 00:18:31,840 Speaker 1: or watch us live on YouTube. 358 00:18:32,200 --> 00:18:37,480 Speaker 2: Julian Emmanuel working with Eda Hyman at Evercourt Isi. You 359 00:18:37,600 --> 00:18:41,960 Speaker 2: people have seen a grinding equity market before. How do 360 00:18:42,000 --> 00:18:44,840 Speaker 2: you interpret it and how do you get on board 361 00:18:45,040 --> 00:18:46,119 Speaker 2: a grinding market? 362 00:18:46,160 --> 00:18:47,160 Speaker 3: I can't catch up to. 363 00:18:48,080 --> 00:18:51,520 Speaker 8: It's an incredible challenge. In fact, this is one of 364 00:18:51,560 --> 00:18:56,440 Speaker 8: these times where whether you're overinvested just write or underinvested. 365 00:18:56,520 --> 00:19:00,760 Speaker 8: And I promise that if you feel under invested, you 366 00:19:00,880 --> 00:19:04,760 Speaker 8: feel bad. But there's emotion going on here, okay, and 367 00:19:04,800 --> 00:19:07,760 Speaker 8: so what you really need to do is focus out 368 00:19:07,800 --> 00:19:10,640 Speaker 8: on the long term because, let's face it, at this 369 00:19:10,760 --> 00:19:14,000 Speaker 8: point with the market, grinding stocks are very expensive. 370 00:19:14,000 --> 00:19:16,280 Speaker 2: Take us some of the trenches of isi. You're sitting 371 00:19:16,280 --> 00:19:20,080 Speaker 2: there April second, April third, April Ford Liberation Day. Ed, 372 00:19:20,160 --> 00:19:22,840 Speaker 2: heyman's got the big fat black pen in his hand, 373 00:19:23,200 --> 00:19:25,520 Speaker 2: and you guys are trying to create a newsletter. 374 00:19:25,840 --> 00:19:27,400 Speaker 3: What did you say in early April? 375 00:19:27,440 --> 00:19:30,520 Speaker 8: So there were two things that gave us conviction that 376 00:19:30,560 --> 00:19:33,480 Speaker 8: you should be a buyer in April number one, Ed 377 00:19:33,520 --> 00:19:37,040 Speaker 8: and the Econ team never ever thought there was going 378 00:19:37,080 --> 00:19:39,240 Speaker 8: to be a recession. And in fact, we do a 379 00:19:39,280 --> 00:19:42,720 Speaker 8: Friday webinar that a thousand clients to an intel. 380 00:19:42,560 --> 00:19:44,240 Speaker 2: Ed jymend does into a webinar. 381 00:19:44,400 --> 00:19:46,959 Speaker 8: It doesn't the best thirty minutes on Wall Street. And 382 00:19:47,040 --> 00:19:49,639 Speaker 8: I know you all you know want that title. 383 00:19:49,720 --> 00:19:51,320 Speaker 3: Wall Street Week was never. 384 00:19:51,240 --> 00:19:54,080 Speaker 2: A webinar with Uguiser continue. 385 00:19:54,200 --> 00:19:57,960 Speaker 8: But at that time that week in April, eighty one 386 00:19:58,000 --> 00:20:00,399 Speaker 8: percent of our clients thought we were either in a 387 00:20:00,480 --> 00:20:03,239 Speaker 8: recession or one would start in the second half, and 388 00:20:03,280 --> 00:20:06,800 Speaker 8: the data was never there. And from the strategy side, 389 00:20:07,240 --> 00:20:11,240 Speaker 8: we saw the volatility explode to levels that really were 390 00:20:11,680 --> 00:20:16,200 Speaker 8: consistent with past turnarounds at the same time the volume exploded. 391 00:20:16,440 --> 00:20:18,960 Speaker 8: At the same time the bear sentiment was just off 392 00:20:19,000 --> 00:20:23,720 Speaker 8: the charts. And those combinations, particularly the idea of no recession, 393 00:20:24,119 --> 00:20:25,200 Speaker 8: means you gotta buy. 394 00:20:25,920 --> 00:20:28,760 Speaker 6: Four elements that kill a structurable market. That's in your 395 00:20:28,800 --> 00:20:32,320 Speaker 6: note here today. What are those Are any of them 396 00:20:32,359 --> 00:20:32,800 Speaker 6: out there? 397 00:20:33,560 --> 00:20:35,760 Speaker 8: None of them are out there at the moment, Paul, 398 00:20:35,800 --> 00:20:38,800 Speaker 8: which is why again it's such a challenge here and 399 00:20:38,880 --> 00:20:43,720 Speaker 8: why frankly, stocks have become as expensive as they are. 400 00:20:43,560 --> 00:20:47,639 Speaker 8: The rebound from that sentiment trough in April because we 401 00:20:47,720 --> 00:20:50,880 Speaker 8: knew there wasn't going to be recession. We still don't 402 00:20:50,920 --> 00:20:53,080 Speaker 8: think there's a recession. We do think that there's a 403 00:20:53,080 --> 00:20:57,359 Speaker 8: slowdown that continues in the second half. The second is 404 00:20:57,400 --> 00:21:01,199 Speaker 8: what we would call an uncooperative fed cooperative. 405 00:21:00,680 --> 00:21:01,480 Speaker 5: We mean hiking. 406 00:21:01,760 --> 00:21:05,159 Speaker 8: Look, they're not gonna hike. There's no inflation reading we 407 00:21:05,160 --> 00:21:08,000 Speaker 8: can see in the next several months, however high where 408 00:21:08,040 --> 00:21:11,280 Speaker 8: they will hike. They may cut less, but they're not hiking. 409 00:21:11,760 --> 00:21:16,479 Speaker 8: The third would be longer term yield spiking. Let's face it, 410 00:21:16,520 --> 00:21:20,200 Speaker 8: the ten year yield, it's yeah, four thirty every day 411 00:21:20,240 --> 00:21:22,119 Speaker 8: of the week for the last two years. 412 00:21:22,600 --> 00:21:23,879 Speaker 5: And that's how it is. 413 00:21:23,920 --> 00:21:26,560 Speaker 8: And that's a good thing, and that's part of why 414 00:21:27,080 --> 00:21:30,159 Speaker 8: investors have had enough confidence to bid up stocks. And 415 00:21:30,200 --> 00:21:32,040 Speaker 8: then the last one is the one that we think 416 00:21:32,119 --> 00:21:35,560 Speaker 8: that eventually will end the bullmarket cycle, and that's a 417 00:21:35,600 --> 00:21:40,600 Speaker 8: period of fomo and capital markets activity. Every single bullmarket 418 00:21:40,840 --> 00:21:43,200 Speaker 8: has that. In the late stages, you're starting to see 419 00:21:43,200 --> 00:21:46,879 Speaker 8: a little bit of fomo and frankly, the capital market 420 00:21:46,920 --> 00:21:48,560 Speaker 8: cycle is percolating. 421 00:21:48,640 --> 00:21:51,920 Speaker 2: But the capital market cycle, when we blow up, it's 422 00:21:52,119 --> 00:21:53,600 Speaker 2: always Paul Sweeney's four. 423 00:21:53,760 --> 00:21:55,920 Speaker 7: I mean, I think about the late nineties. 424 00:21:55,920 --> 00:22:02,560 Speaker 6: I was front center there, folks. Valuation boy, this market 425 00:22:02,600 --> 00:22:06,080 Speaker 6: seems expensive to me, and I'm not sure the earnings 426 00:22:06,080 --> 00:22:08,000 Speaker 6: growth is out there to support it. What do you 427 00:22:08,000 --> 00:22:09,080 Speaker 6: say to those folks. 428 00:22:09,800 --> 00:22:13,959 Speaker 8: We say the following. Okay, it is expensive, there's no 429 00:22:14,080 --> 00:22:17,159 Speaker 8: question about it. But when you actually look at the 430 00:22:17,200 --> 00:22:21,800 Speaker 8: set of circumstances that cause the roller coaster to have 431 00:22:21,960 --> 00:22:24,880 Speaker 8: the scary ride down and now the grind back up. 432 00:22:25,119 --> 00:22:27,280 Speaker 8: This has happened a number of times in the past 433 00:22:27,520 --> 00:22:31,239 Speaker 8: when you haven't had a recession, eighteen months later the 434 00:22:31,280 --> 00:22:34,600 Speaker 8: market is on average twenty six percent higher. But the 435 00:22:34,600 --> 00:22:37,480 Speaker 8: flip side of that, and where we think people need 436 00:22:37,480 --> 00:22:41,200 Speaker 8: to be cognizant now, is there are pullbacks. It comes 437 00:22:41,240 --> 00:22:42,240 Speaker 8: with volatility. 438 00:22:43,200 --> 00:22:44,280 Speaker 3: Look Julian at. 439 00:22:44,200 --> 00:22:47,000 Speaker 2: This, and it's the heritage of Ed Hymen over decades. 440 00:22:47,400 --> 00:22:49,960 Speaker 2: And I think what mister Hyman would say is, you 441 00:22:50,000 --> 00:22:55,640 Speaker 2: know what American companies adapt if they're adapting, and particularly 442 00:22:55,680 --> 00:22:59,640 Speaker 2: away from the tech darlings, are they adapting to margin 443 00:23:00,400 --> 00:23:05,959 Speaker 2: leveling or persistency or dare I say margin expansion? Because 444 00:23:05,960 --> 00:23:09,440 Speaker 2: of AI and general productivity. 445 00:23:09,040 --> 00:23:10,000 Speaker 5: No question about it. 446 00:23:10,040 --> 00:23:13,200 Speaker 8: AI is a tailwind. But actually what's more interesting if 447 00:23:13,200 --> 00:23:16,160 Speaker 8: you look on the screen today at the positive response 448 00:23:16,240 --> 00:23:19,520 Speaker 8: in the airline stocks, and that is a tribute to 449 00:23:19,560 --> 00:23:22,560 Speaker 8: the fact that if you go back to April, all 450 00:23:22,640 --> 00:23:27,240 Speaker 8: of those companies were appropriately cautious in their guidance and 451 00:23:27,320 --> 00:23:30,240 Speaker 8: in this environment, when you set the bar low enough 452 00:23:31,000 --> 00:23:34,840 Speaker 8: and you get results that in other conditions might be 453 00:23:35,040 --> 00:23:38,520 Speaker 8: good or you know, but these you know, really beat 454 00:23:38,600 --> 00:23:43,359 Speaker 8: expectations and basically confirming the fact, as you said, that 455 00:23:43,520 --> 00:23:48,160 Speaker 8: planes are full and frankly, technology is one of those 456 00:23:48,240 --> 00:23:50,240 Speaker 8: areas that the airlines are exploded. 457 00:23:51,520 --> 00:23:55,080 Speaker 6: Do I love this one? If you use options, you 458 00:23:55,200 --> 00:23:58,800 Speaker 6: buy options when the VIX is low like now. You 459 00:23:58,880 --> 00:24:02,200 Speaker 6: buy stocks when the VIX is high, like in April 460 00:24:02,200 --> 00:24:05,240 Speaker 6: twenty five and August twenty four. So we're buying options 461 00:24:05,240 --> 00:24:08,040 Speaker 6: now because we've got the Tom Keen memorial vix blow 462 00:24:08,080 --> 00:24:09,000 Speaker 6: sixteen right. 463 00:24:09,280 --> 00:24:14,600 Speaker 8: So basically, again, this is the way that you keep 464 00:24:14,640 --> 00:24:17,720 Speaker 8: your emotions in check. When stocks are trading close to 465 00:24:17,760 --> 00:24:20,960 Speaker 8: twenty five times earnings and we know they're expensive, they 466 00:24:21,000 --> 00:24:24,679 Speaker 8: can get more expensive cause those elements causing the end 467 00:24:24,720 --> 00:24:27,639 Speaker 8: of the old market aren't there. But you buy options 468 00:24:27,760 --> 00:24:32,080 Speaker 8: a because if the market runs away, you're participating and 469 00:24:32,119 --> 00:24:34,440 Speaker 8: be there cheap enough that if the market pulls back, 470 00:24:34,600 --> 00:24:35,040 Speaker 8: we're head. 471 00:24:35,320 --> 00:24:36,320 Speaker 3: This is great, Paul. 472 00:24:36,440 --> 00:24:40,000 Speaker 2: With Edheiman and Julian Emmanuel, it's like Mandalorian. 473 00:24:40,400 --> 00:24:41,920 Speaker 3: I mean they're sitting there and. 474 00:24:41,840 --> 00:24:44,920 Speaker 2: They're in a meeting with their interns, and Edheimen's going 475 00:24:45,240 --> 00:24:49,600 Speaker 2: this is the way, Julian Emanuel, thank you so much. 476 00:24:49,960 --> 00:24:53,880 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 477 00:24:53,880 --> 00:24:56,920 Speaker 1: starting at seven am Eastern on Apple Corplay and Android 478 00:24:56,920 --> 00:24:59,880 Speaker 1: Auto with the Bloomberg Business app. You can also listen 479 00:25:00,119 --> 00:25:03,320 Speaker 1: live on Amazon Alexa from our flagship New York station. 480 00:25:03,880 --> 00:25:06,680 Speaker 1: Just say Alexa play Bloomberg eleven thirty. 481 00:25:06,600 --> 00:25:08,679 Speaker 2: R ander sheets from London in with us that with 482 00:25:08,800 --> 00:25:12,840 Speaker 2: Morgenstein and the chief process at Strategy is really really 483 00:25:12,960 --> 00:25:18,120 Speaker 2: competent at the architecture, the underlying mathematics of. 484 00:25:18,080 --> 00:25:19,920 Speaker 3: The of Global Wall Street. 485 00:25:19,920 --> 00:25:22,399 Speaker 2: We're thrilled at Andrew could are you still based in London? 486 00:25:22,480 --> 00:25:22,960 Speaker 5: Are you here? 487 00:25:23,520 --> 00:25:26,360 Speaker 7: I'm still based in London. It's you're visiting, visiting. 488 00:25:26,119 --> 00:25:29,840 Speaker 3: Okay, great. What is the integrity of the market right now? 489 00:25:29,840 --> 00:25:33,280 Speaker 2: When you look at you know, the four derivatives co movements, 490 00:25:33,280 --> 00:25:36,000 Speaker 2: if you will, not crotosis in that, but if you 491 00:25:36,160 --> 00:25:40,760 Speaker 2: just look at the underlying financial architecture of the market, 492 00:25:40,960 --> 00:25:41,960 Speaker 2: is it normal now? 493 00:25:42,480 --> 00:25:42,680 Speaker 5: Well? 494 00:25:42,720 --> 00:25:46,400 Speaker 7: I do think we've still seen up until recently still 495 00:25:46,440 --> 00:25:49,320 Speaker 7: a lot of uneven leadership. You know, I think you've 496 00:25:49,359 --> 00:25:52,480 Speaker 7: had this this real tension between on the surface, what 497 00:25:52,560 --> 00:25:55,520 Speaker 7: seems like an incredibly strong market equities at all time highs, 498 00:25:55,560 --> 00:25:59,159 Speaker 7: credit at kind of near cycle lows, and yet that 499 00:25:59,200 --> 00:26:02,440 Speaker 7: equity strength has been more narrow, that equity strength has 500 00:26:02,440 --> 00:26:06,320 Speaker 7: been more defensive in quality lead, and that remains our 501 00:26:06,400 --> 00:26:08,639 Speaker 7: view at Morgan Stanley. We prefer the US over the 502 00:26:08,640 --> 00:26:11,320 Speaker 7: rest of the world. We prefer large caps over small caps. 503 00:26:11,359 --> 00:26:14,560 Speaker 7: We've still had that quality bias, as I still think 504 00:26:14,600 --> 00:26:16,760 Speaker 7: the market still has to go through a period where 505 00:26:16,800 --> 00:26:20,359 Speaker 7: growth is decelerating the second half. So this is still 506 00:26:20,400 --> 00:26:23,159 Speaker 7: I think a constructive backdrop in the sense that you know, 507 00:26:23,280 --> 00:26:25,800 Speaker 7: like we just heard from Julian, we also don't think 508 00:26:25,800 --> 00:26:28,080 Speaker 7: we see a recession this year. We do think the 509 00:26:28,119 --> 00:26:30,560 Speaker 7: FED is going to cut more than the market expects 510 00:26:30,640 --> 00:26:33,440 Speaker 7: through the end of twenty twenty six, but those FED 511 00:26:33,440 --> 00:26:35,480 Speaker 7: cuts don't arrive in twenty twenty five in our view, 512 00:26:35,520 --> 00:26:37,960 Speaker 7: and that that will still I think accourge equality by it. 513 00:26:38,280 --> 00:26:40,560 Speaker 2: I saw somebody yesterday and I want to say Michael Feroli, 514 00:26:40,640 --> 00:26:42,600 Speaker 2: but I'm not sure. Oh, they're not looking for a 515 00:26:42,600 --> 00:26:45,360 Speaker 2: cut till December. When's your first cut? 516 00:26:45,400 --> 00:26:46,920 Speaker 7: Our first cut we don't have until the end of 517 00:26:46,920 --> 00:26:50,520 Speaker 7: the first quarter of twenty twenty six. In twenty twenty. 518 00:26:50,240 --> 00:26:55,480 Speaker 6: Six, let him so, Andrew, we saw some movement, some 519 00:26:55,600 --> 00:26:59,640 Speaker 6: pronounced movement of flows out of the US into rest 520 00:26:59,640 --> 00:27:02,400 Speaker 6: of the war, including European equities. 521 00:27:02,400 --> 00:27:03,120 Speaker 5: Earlier this year. 522 00:27:04,440 --> 00:27:07,399 Speaker 6: Was that a trade Is that a longer term play. 523 00:27:07,440 --> 00:27:08,639 Speaker 6: How do you guys see that when you talk to 524 00:27:08,680 --> 00:27:09,159 Speaker 6: your clients. 525 00:27:09,320 --> 00:27:12,400 Speaker 7: Yees, So I do think you have kind of multiple, 526 00:27:13,280 --> 00:27:17,480 Speaker 7: multiple factors kind of overlapping there. So I think we 527 00:27:17,560 --> 00:27:21,719 Speaker 7: are in the dollar bear camp, and more so than 528 00:27:21,760 --> 00:27:24,919 Speaker 7: I think the consensus. We at Morgan Stanley are forecasting 529 00:27:24,960 --> 00:27:27,800 Speaker 7: the dollar too. We can buy by eight percent from 530 00:27:27,880 --> 00:27:31,080 Speaker 7: here over the next twelve months. So but we don't 531 00:27:31,080 --> 00:27:34,880 Speaker 7: think that's necessarily investors, you know, fleeing the US per se. 532 00:27:35,000 --> 00:27:37,919 Speaker 7: We think that is investors realizing that the dollar just 533 00:27:38,000 --> 00:27:40,720 Speaker 7: doesn't have the defensive characteristics that usually did. 534 00:27:40,960 --> 00:27:41,960 Speaker 6: What thing is that do you think? 535 00:27:42,240 --> 00:27:45,320 Speaker 7: I think it's a mixture that US policy has become 536 00:27:46,000 --> 00:27:50,040 Speaker 7: more uncertain, trade policy has become more uncertain. US growth 537 00:27:50,400 --> 00:27:53,320 Speaker 7: relative the rest of the world has become worse on 538 00:27:53,359 --> 00:27:57,159 Speaker 7: our forecasts. And we also think that if the Fed 539 00:27:57,480 --> 00:27:59,800 Speaker 7: can't cut this year, and we don't think they will 540 00:27:59,840 --> 00:28:03,320 Speaker 7: be because inflation's going to re accelerate a bit as 541 00:28:03,359 --> 00:28:05,679 Speaker 7: tariffs come on, they might have to cut a lot 542 00:28:05,720 --> 00:28:07,360 Speaker 7: more next year. And if they cut a lot more 543 00:28:07,400 --> 00:28:10,160 Speaker 7: next year, that growth, that rate differential that was so 544 00:28:10,200 --> 00:28:11,680 Speaker 7: beneficial the dollar will narrow. 545 00:28:11,840 --> 00:28:15,119 Speaker 6: Okay, Globally, your cross is strategies. You're in London, you 546 00:28:15,160 --> 00:28:18,040 Speaker 6: can do anything. Where do you guys see the best 547 00:28:18,119 --> 00:28:19,080 Speaker 6: value here right now? 548 00:28:19,280 --> 00:28:23,000 Speaker 7: So, in a relatively unexciting way, we think this is 549 00:28:23,000 --> 00:28:26,800 Speaker 7: a pretty good environment for duration. We think that rates 550 00:28:26,840 --> 00:28:27,800 Speaker 7: have backed up a bit here. 551 00:28:27,920 --> 00:28:31,919 Speaker 2: We think that's French fifty years or you buying perpetuities. 552 00:28:32,240 --> 00:28:33,760 Speaker 3: What is this a Charles Dicken novel. 553 00:28:34,000 --> 00:28:36,320 Speaker 7: Well, we're actually a little bit cautious on France a 554 00:28:36,400 --> 00:28:38,560 Speaker 7: relative to the rest of Europe. But you know, I 555 00:28:38,560 --> 00:28:40,480 Speaker 7: think the ECB will continue to cut. We think the 556 00:28:40,520 --> 00:28:43,920 Speaker 7: Bank of England will cut in August. We think that Look, 557 00:28:44,080 --> 00:28:46,880 Speaker 7: Europe has ECB as a single mandate, which is inflation. 558 00:28:47,040 --> 00:28:49,840 Speaker 7: Inflation is going to continue to come down in contrast 559 00:28:49,880 --> 00:28:52,920 Speaker 7: with the US. We think that will support European duration 560 00:28:53,080 --> 00:28:55,920 Speaker 7: is you have slower growth, you have lower inflation. And 561 00:28:56,000 --> 00:28:58,160 Speaker 7: in the US we think the rate market will kind 562 00:28:58,160 --> 00:29:01,240 Speaker 7: of look through this temporary right of inflation to say, look, 563 00:29:01,240 --> 00:29:03,680 Speaker 7: the growth is going to be slowing down. These tariffs 564 00:29:03,720 --> 00:29:06,160 Speaker 7: are attacks on the consumer. Growth is going to slow. 565 00:29:06,200 --> 00:29:07,240 Speaker 7: The Fed'll have to cut more. 566 00:29:07,560 --> 00:29:09,760 Speaker 2: Let me ask you one more asset question. Then I 567 00:29:09,800 --> 00:29:12,040 Speaker 2: want to talk about London, because a huge body of 568 00:29:12,080 --> 00:29:15,320 Speaker 2: our audience pro and non pro are really curious about 569 00:29:15,320 --> 00:29:18,640 Speaker 2: the state of Andrew Sheets the city. And if I 570 00:29:18,640 --> 00:29:21,800 Speaker 2: can talk as we did with Julian Emmanuel about this 571 00:29:22,040 --> 00:29:25,840 Speaker 2: modern frenzy which was invented in the Brown math department 572 00:29:25,960 --> 00:29:29,080 Speaker 2: years ago, of trying to be smarter than the market 573 00:29:29,160 --> 00:29:34,000 Speaker 2: in market timing Andrew Sheets on the BS of market timing. 574 00:29:35,200 --> 00:29:38,320 Speaker 7: So I think what is challenging is that if we 575 00:29:38,360 --> 00:29:40,840 Speaker 7: look at trying to quantify that question, can we come 576 00:29:40,920 --> 00:29:44,040 Speaker 7: up with indicators that give us a better than average 577 00:29:44,080 --> 00:29:47,760 Speaker 7: odds of thinking about short term direction. I think what 578 00:29:47,840 --> 00:29:50,719 Speaker 7: you find, or what we've found, is that those indicators 579 00:29:50,760 --> 00:29:55,400 Speaker 7: work well or better under fear. Under extreme fear you 580 00:29:55,480 --> 00:29:58,080 Speaker 7: just your previous guests referred to kind of April second, 581 00:29:58,200 --> 00:30:02,400 Speaker 7: you can find signal that work on average more often 582 00:30:02,440 --> 00:30:05,080 Speaker 7: than not under extreme fear to give you short term 583 00:30:05,120 --> 00:30:08,520 Speaker 7: buy signals. It is very hard. We have been unsuccessful, 584 00:30:08,600 --> 00:30:11,360 Speaker 7: much less successful to give you sell signals. It's much 585 00:30:11,360 --> 00:30:14,080 Speaker 7: harder to call tops. It's much harder to find indicators 586 00:30:14,080 --> 00:30:15,120 Speaker 7: that successfully do that. 587 00:30:15,200 --> 00:30:18,400 Speaker 2: I can't bottle what you just heard for the kids 588 00:30:18,440 --> 00:30:22,000 Speaker 2: on Global Wall Street. What you heard is on the 589 00:30:22,120 --> 00:30:25,840 Speaker 2: edge of teleb one, Oh one the certitude of dealing 590 00:30:25,960 --> 00:30:30,080 Speaker 2: with a Gaussian bell curved mindset. And Andrew Sheets and 591 00:30:30,120 --> 00:30:34,280 Speaker 2: I are walking log normal. It's so hard on an 592 00:30:34,320 --> 00:30:38,840 Speaker 2: asymmetric log normal to get it right when when, when green, 593 00:30:38,880 --> 00:30:40,560 Speaker 2: spanny and quiescence is there. 594 00:30:40,840 --> 00:30:42,760 Speaker 7: And I think this is the challenge that in bowl 595 00:30:42,800 --> 00:30:45,720 Speaker 7: markets right. The reason I think that short term timing 596 00:30:45,800 --> 00:30:47,840 Speaker 7: works better under fear is that people get afraid at 597 00:30:47,840 --> 00:30:49,880 Speaker 7: the same time they panic at the same time. People 598 00:30:49,920 --> 00:30:51,440 Speaker 7: don't get euphoric at the same time. 599 00:30:51,600 --> 00:30:53,880 Speaker 2: It was great to see you in the front row 600 00:30:54,120 --> 00:30:56,720 Speaker 2: or you know, up a couple behind the celebs when 601 00:30:56,840 --> 00:30:59,520 Speaker 2: Emma went down in flames at Wimbledon. Give us a 602 00:30:59,560 --> 00:31:02,320 Speaker 2: state the city right now in London. You're one of 603 00:31:02,320 --> 00:31:06,120 Speaker 2: our most important voices there. There's this doom and gloom 604 00:31:06,120 --> 00:31:08,280 Speaker 2: woe as me the United Kingdom is going to roll 605 00:31:08,280 --> 00:31:10,720 Speaker 2: over and fall into the Channel. I don't buy it 606 00:31:10,760 --> 00:31:14,000 Speaker 2: for a minute. And Paul says it's buoyant. 607 00:31:13,720 --> 00:31:14,000 Speaker 5: Is it? 608 00:31:14,240 --> 00:31:18,120 Speaker 7: Yes? I mean we're constructive on the UK economy. I 609 00:31:18,120 --> 00:31:20,240 Speaker 7: think relative to consensus, we think the Bank of England 610 00:31:20,240 --> 00:31:23,120 Speaker 7: will cut more than expected. And look, you know we're 611 00:31:23,120 --> 00:31:25,920 Speaker 7: talking about a seven percent deficit to GDP in the US. 612 00:31:26,000 --> 00:31:28,880 Speaker 7: We're talking about five percent deficit to GDP in France, 613 00:31:29,160 --> 00:31:30,400 Speaker 7: the UK's at two and a half. 614 00:31:31,040 --> 00:31:32,000 Speaker 3: Is it too austere? 615 00:31:32,200 --> 00:31:34,200 Speaker 2: That's the heart of the matter, well as coming out 616 00:31:34,200 --> 00:31:37,680 Speaker 2: of the crisis. Are they addicted to the austerity of 617 00:31:37,720 --> 00:31:38,440 Speaker 2: an old world? 618 00:31:38,480 --> 00:31:38,720 Speaker 3: Mind? 619 00:31:38,720 --> 00:31:41,320 Speaker 7: So maybe, but that means weaker growth, That means a 620 00:31:41,320 --> 00:31:43,840 Speaker 7: Bank of England can cut more. The government has time, 621 00:31:43,920 --> 00:31:47,000 Speaker 7: the government has a large majority. And if you can 622 00:31:47,040 --> 00:31:49,680 Speaker 7: get those rates down, and we think that inflation is 623 00:31:49,720 --> 00:31:51,640 Speaker 7: going to fall more than expected in the UK over 624 00:31:51,640 --> 00:31:53,640 Speaker 7: the next twelve months, you get lower rates, you can 625 00:31:53,680 --> 00:31:56,240 Speaker 7: help stimulate a lot of those rates sensitive sectors in 626 00:31:56,280 --> 00:31:58,960 Speaker 7: the economy. And I think the UK can also benefit 627 00:31:59,120 --> 00:32:02,240 Speaker 7: some from you know, kind of global knowledge workers looking 628 00:32:02,280 --> 00:32:04,520 Speaker 7: to to move around. It's a attractive place for long 629 00:32:04,560 --> 00:32:07,400 Speaker 7: term investment. We're bullish on the UK pound for a 630 00:32:07,480 --> 00:32:08,320 Speaker 7: variety of reasons. 631 00:32:08,520 --> 00:32:10,520 Speaker 6: Tom, the next time you and I take surveillance over 632 00:32:10,520 --> 00:32:12,440 Speaker 6: to London, we're gonna go out to the docklands, out 633 00:32:12,480 --> 00:32:13,240 Speaker 6: to the Canary Whar. 634 00:32:13,600 --> 00:32:18,920 Speaker 2: It's happening than ever and we're gonna go to the docklands 635 00:32:18,320 --> 00:32:19,720 Speaker 2: still and we're. 636 00:32:19,560 --> 00:32:21,920 Speaker 6: Gonna have lunch at the gun. It's right on the 637 00:32:22,040 --> 00:32:24,240 Speaker 6: River Thames. It's a great pub and we're gonna have 638 00:32:24,640 --> 00:32:25,280 Speaker 6: lunch with Andrew. 639 00:32:25,280 --> 00:32:25,440 Speaker 2: There. 640 00:32:25,480 --> 00:32:26,240 Speaker 6: That's what we're gonna do. 641 00:32:26,640 --> 00:32:26,920 Speaker 5: Done. 642 00:32:27,120 --> 00:32:29,840 Speaker 6: Let's see, that's how we roll. Andrew is going to write, 643 00:32:30,120 --> 00:32:32,960 Speaker 6: oh yeah, yes he will. I will throw that down 644 00:32:33,040 --> 00:32:35,239 Speaker 6: and he's just not gonna worry about it. Andrew, what 645 00:32:35,360 --> 00:32:37,320 Speaker 6: is the US Federal Reserve need to do? Is a 646 00:32:37,360 --> 00:32:41,080 Speaker 6: federal reserve behind European central banks the Bank of England? 647 00:32:41,760 --> 00:32:42,440 Speaker 5: How do you view that? 648 00:32:42,760 --> 00:32:45,600 Speaker 7: So the FED is a dual mandate right full employment 649 00:32:45,760 --> 00:32:48,560 Speaker 7: and price stability, And you know you, I think you 650 00:32:48,600 --> 00:32:50,800 Speaker 7: heard this from the Fed minutes. They they're doing much 651 00:32:50,840 --> 00:32:54,360 Speaker 7: better on full employment than on price stability. They think 652 00:32:54,400 --> 00:32:56,520 Speaker 7: the economy is strong. You still have an unemployment rate 653 00:32:56,600 --> 00:32:59,920 Speaker 7: that's down in the low fours, and yet core piece 654 00:33:00,280 --> 00:33:02,800 Speaker 7: is still above their target. If our forecasts are correct, 655 00:33:02,800 --> 00:33:04,720 Speaker 7: it's going to start moving up again a little bit. 656 00:33:05,160 --> 00:33:09,080 Speaker 7: So in that context, you're not running policy that's too tight. 657 00:33:09,160 --> 00:33:11,840 Speaker 7: You're running appropriate policy, and we think that keeps them 658 00:33:11,840 --> 00:33:12,240 Speaker 7: on hold. 659 00:33:12,360 --> 00:33:13,680 Speaker 3: Can I do an audible should? 660 00:33:13,720 --> 00:33:16,560 Speaker 2: You're so darn good at this. Anderw Sheet's folks on 661 00:33:16,680 --> 00:33:20,120 Speaker 2: the pharmaceutical wave from Europe, one of the great unknowns 662 00:33:20,120 --> 00:33:24,080 Speaker 2: for Americans. Having Mike Pence of the Eli Lilly Indianapolis 663 00:33:24,120 --> 00:33:29,200 Speaker 2: on minutes ago, the former Vice president, we underestimate the 664 00:33:29,240 --> 00:33:33,280 Speaker 2: pharmaceutical wall of Europe, Ireland, the United Kingdom and the 665 00:33:33,320 --> 00:33:36,959 Speaker 2: rest of it. What are the Trump pharmaceutical tariffs going 666 00:33:37,000 --> 00:33:39,400 Speaker 2: to do to the transatlantic balance? 667 00:33:39,680 --> 00:33:44,880 Speaker 7: Well, it has an inflation channel because you know, healthcare 668 00:33:44,920 --> 00:33:47,680 Speaker 7: spending is a big part of the economy. This is again, 669 00:33:47,720 --> 00:33:50,680 Speaker 7: I think something people should consider when looking at Europe 670 00:33:50,720 --> 00:33:52,800 Speaker 7: as a market to invest in is that we talk 671 00:33:52,840 --> 00:33:55,680 Speaker 7: a lot about the concentration in the US market, A 672 00:33:55,680 --> 00:33:58,760 Speaker 7: lot of these European markets are also very concentrated with 673 00:33:58,960 --> 00:34:01,880 Speaker 7: very large cap company. He's having very large shares within 674 00:34:01,920 --> 00:34:04,840 Speaker 7: these individual markets. So you know again that that creates 675 00:34:04,840 --> 00:34:08,040 Speaker 7: some idiosyncratic risk, and ken mean that some of these 676 00:34:08,239 --> 00:34:11,560 Speaker 7: individual tariff decisions have even larger overall market impacts. 677 00:34:11,640 --> 00:34:14,040 Speaker 2: What was the name of the pup It's called the gun. 678 00:34:14,200 --> 00:34:15,680 Speaker 7: It's in dock guns right on the river. 679 00:34:15,719 --> 00:34:18,840 Speaker 2: Ten our question today, Andrew, when you grew up, you know, 680 00:34:19,480 --> 00:34:24,080 Speaker 2: just pristine at mathematics and your legend brown which Kellogg's 681 00:34:24,120 --> 00:34:25,920 Speaker 2: cereal did you partake of anymore? 682 00:34:26,000 --> 00:34:27,000 Speaker 3: Were you a fruit loops? 683 00:34:27,040 --> 00:34:27,239 Speaker 2: Guy. 684 00:34:27,640 --> 00:34:29,000 Speaker 7: I was never allowed for loops. 685 00:34:29,040 --> 00:34:30,640 Speaker 2: Now, you were never allowed, never allowed. 686 00:34:31,280 --> 00:34:33,200 Speaker 7: I was kind of a Cheerios General Mills person. 687 00:34:33,280 --> 00:34:33,840 Speaker 5: So there we go. 688 00:34:34,760 --> 00:34:36,040 Speaker 3: It's more Midwest Field. 689 00:34:36,160 --> 00:34:36,359 Speaker 5: Yep. 690 00:34:36,480 --> 00:34:38,520 Speaker 6: Absolutely, Kellogg's big bringing today. 691 00:34:38,640 --> 00:34:41,520 Speaker 2: I remember, you know, I went to college and I 692 00:34:41,640 --> 00:34:45,120 Speaker 2: was told that Raisin brand was only for adults. My 693 00:34:45,200 --> 00:34:48,640 Speaker 2: father got so sick and tired of us eating. 694 00:34:48,400 --> 00:34:49,400 Speaker 5: All the raisin bread. 695 00:34:49,640 --> 00:34:53,280 Speaker 2: I actually went to college thinking was like an adult. 696 00:34:52,960 --> 00:34:55,240 Speaker 3: Cereal ander sheets. This is special. 697 00:34:55,239 --> 00:34:57,719 Speaker 2: Thank you so much. In her studios here in New York. 698 00:34:57,800 --> 00:35:04,440 Speaker 2: He's a massive value. Add each morning to Morgan Stanley. 699 00:35:06,960 --> 00:35:10,840 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 700 00:35:10,880 --> 00:35:14,200 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 701 00:35:14,320 --> 00:35:17,160 Speaker 1: with the Bloomberg Business app. You can also watch us 702 00:35:17,200 --> 00:35:21,040 Speaker 1: live every weekday on YouTube and always on the Bloomberg terminal. 703 00:35:21,160 --> 00:35:22,920 Speaker 3: This is a joy. Let's get right to it. We 704 00:35:23,000 --> 00:35:25,719 Speaker 3: got a busy, busy schedule. Dominic two blown roads with 705 00:35:25,800 --> 00:35:26,200 Speaker 3: us right now. 706 00:35:26,200 --> 00:35:30,320 Speaker 2: I had a US credit strategy at Berkley's. 707 00:35:30,400 --> 00:35:33,000 Speaker 3: I have to take an audible here. You're out of 708 00:35:33,040 --> 00:35:35,520 Speaker 3: bear in Switzerland, right, That's right. I was there when 709 00:35:35,520 --> 00:35:36,040 Speaker 3: I was a kid. 710 00:35:36,080 --> 00:35:37,799 Speaker 2: It's where the bears are right, that's right. 711 00:35:38,000 --> 00:35:40,000 Speaker 9: That was old CD and as bears at. 712 00:35:39,840 --> 00:35:42,000 Speaker 2: The end of ancient city, and it goes back to 713 00:35:42,080 --> 00:35:43,960 Speaker 2: the heritage of Swiss mathematics. 714 00:35:44,120 --> 00:35:44,520 Speaker 9: That's right. 715 00:35:44,560 --> 00:35:47,520 Speaker 2: And the last conversation I had with the giant Alan 716 00:35:47,600 --> 00:35:52,040 Speaker 2: Kruger of Princeton, we were both reading together a biography 717 00:35:52,080 --> 00:35:56,200 Speaker 2: of Euler and the math of the time and all this, folks, 718 00:35:56,560 --> 00:36:00,279 Speaker 2: is out of Switzerland. When you bring your mathematics into 719 00:36:00,280 --> 00:36:03,920 Speaker 2: the US credit market right now, is it a normal 720 00:36:04,000 --> 00:36:06,160 Speaker 2: market with these depths and deficits. 721 00:36:06,520 --> 00:36:10,680 Speaker 10: So on the corporate bond side, the technicals are so. 722 00:36:10,520 --> 00:36:12,840 Speaker 3: Strong that and the spreads are tighter. 723 00:36:13,239 --> 00:36:16,080 Speaker 10: Spreads are tight, there's very little room for error, don't 724 00:36:16,080 --> 00:36:19,120 Speaker 10: get me wrong, but the technicals are Just give you 725 00:36:19,160 --> 00:36:22,600 Speaker 10: one number for investment rate in the US the next 726 00:36:23,080 --> 00:36:25,920 Speaker 10: July August. The next two months, we have two hundred 727 00:36:25,960 --> 00:36:29,920 Speaker 10: and twenty billion dollars of maturities and coupons. Guess what 728 00:36:30,080 --> 00:36:34,480 Speaker 10: is the highest July August issues ever twenty twenty, two 729 00:36:34,560 --> 00:36:36,920 Speaker 10: hundred and twenty billion dollars. So we would have to 730 00:36:36,920 --> 00:36:40,720 Speaker 10: get to record levels to provide some supply to the market. 731 00:36:41,040 --> 00:36:44,640 Speaker 10: So in a short term perspective, yields are fine. The 732 00:36:44,680 --> 00:36:47,480 Speaker 10: base case for macro is okay. Credit for intels are fine. 733 00:36:47,600 --> 00:36:49,040 Speaker 10: So it's disrupting this. 734 00:36:49,239 --> 00:36:51,560 Speaker 2: But Apple, can you know Apple can come out with 735 00:36:51,600 --> 00:36:53,719 Speaker 2: a two hundred and twenty billion dollars bond issue in 736 00:36:53,719 --> 00:36:54,160 Speaker 2: the world. 737 00:36:55,080 --> 00:36:55,759 Speaker 5: Twenty would be a. 738 00:36:55,680 --> 00:36:59,040 Speaker 6: Bit large, but yeah, and one phone call these guys 739 00:36:59,040 --> 00:37:01,840 Speaker 6: could get it done. Dominique, I'm looking at the I 740 00:37:02,600 --> 00:37:05,760 Speaker 6: go function on the Bloomberg terminal. Gives me nice total returns. 741 00:37:05,800 --> 00:37:09,120 Speaker 6: Across the fixed income space, US corporate high yields been 742 00:37:09,160 --> 00:37:12,120 Speaker 6: the best performance. I mean, people have no fear of 743 00:37:12,160 --> 00:37:13,600 Speaker 6: any credit risk out there, do they. 744 00:37:13,800 --> 00:37:15,440 Speaker 9: So there are differentiations. 745 00:37:15,480 --> 00:37:18,200 Speaker 10: So if you look at double bes and single bees, 746 00:37:18,239 --> 00:37:20,839 Speaker 10: people are really on on it. Again, if you look 747 00:37:20,880 --> 00:37:24,760 Speaker 10: at credit fundamentally, it looks fine. Companies have reload leverage 748 00:37:24,760 --> 00:37:27,400 Speaker 10: a little bit, interest coverage is speaking back up, and 749 00:37:27,480 --> 00:37:30,520 Speaker 10: profit margins are high. However, if you go to lower 750 00:37:30,600 --> 00:37:33,600 Speaker 10: rated stuff, the triple c's, it's not quite true. There 751 00:37:33,600 --> 00:37:36,200 Speaker 10: are different interests in there, and people are afraid of 752 00:37:36,239 --> 00:37:39,160 Speaker 10: the tailwisks, and that all happened post Liberation Day. 753 00:37:39,760 --> 00:37:43,000 Speaker 6: So where are we going for value today in the 754 00:37:43,080 --> 00:37:46,759 Speaker 6: credit space? Because smart people like you have been telling me, 755 00:37:47,360 --> 00:37:50,279 Speaker 6: spreads are tight, but I'm like, eh, spreads shreds. Let's 756 00:37:50,280 --> 00:37:51,560 Speaker 6: go buy some high yield here. 757 00:37:52,120 --> 00:37:53,160 Speaker 7: Where do you see value? 758 00:37:53,200 --> 00:37:54,960 Speaker 10: So I think you want to look at the laggards. 759 00:37:55,200 --> 00:37:57,480 Speaker 10: So the laggards, Yeah, an investment gate. 760 00:37:57,520 --> 00:37:58,680 Speaker 9: The cyclicals have lagged. 761 00:37:59,400 --> 00:38:03,879 Speaker 10: In the leverage finance side, single b loans look good 762 00:38:04,120 --> 00:38:06,439 Speaker 10: because the high bonds have you said, I've valied quite 763 00:38:06,440 --> 00:38:08,000 Speaker 10: a bit. And then if you feel a bit more 764 00:38:08,040 --> 00:38:10,360 Speaker 10: in a gutsy, go to the some triple c's that 765 00:38:10,440 --> 00:38:11,720 Speaker 10: you think are interested. 766 00:38:11,880 --> 00:38:15,640 Speaker 2: It doesn't retail and frankly, institutional basically scared stiff and 767 00:38:15,640 --> 00:38:18,200 Speaker 2: they're all buying the two year full faith and credit. 768 00:38:19,000 --> 00:38:22,640 Speaker 10: It's you know, again, you've been getting a little bit 769 00:38:22,719 --> 00:38:25,560 Speaker 10: above the treasury, not a ton compared to history, But 770 00:38:25,719 --> 00:38:27,719 Speaker 10: do you want to leave that on the side. If 771 00:38:27,760 --> 00:38:31,200 Speaker 10: you look at the volatility of returns in investment grade, 772 00:38:31,280 --> 00:38:34,719 Speaker 10: let's says this treasuries, It's likely lower in corporates than 773 00:38:34,760 --> 00:38:35,400 Speaker 10: in treasuries. 774 00:38:35,440 --> 00:38:38,279 Speaker 9: So you get high yield and lower volatility. Not bad. 775 00:38:38,360 --> 00:38:39,839 Speaker 3: We got such a busy morning, folks. 776 00:38:39,840 --> 00:38:42,200 Speaker 2: We're going a couple more questions in here with Dominique, 777 00:38:42,200 --> 00:38:44,760 Speaker 2: and we've got economic data coming out we're just gonna 778 00:38:45,120 --> 00:38:49,120 Speaker 2: glance claims full. You know, if it moves the market, well, 779 00:38:49,160 --> 00:38:53,719 Speaker 2: mention the dominie. Excuse me, Paul, two more questions of dominie. 780 00:38:53,719 --> 00:38:56,040 Speaker 6: I'm looking at the University of burn it is literally. 781 00:38:57,320 --> 00:38:57,880 Speaker 5: And Zurich. 782 00:38:58,000 --> 00:39:00,840 Speaker 6: I mean, yeah, it's awesome, right, Can we do accountable 783 00:39:00,880 --> 00:39:01,279 Speaker 6: we're doing to. 784 00:39:01,320 --> 00:39:05,080 Speaker 2: Remote from Okay, explain to me. This is how I 785 00:39:05,120 --> 00:39:08,680 Speaker 2: met John Farrow is when the SMB intervened here. The 786 00:39:08,800 --> 00:39:13,919 Speaker 2: success of Switzerland is Switzerland back to twenty fifteen, where 787 00:39:13,920 --> 00:39:18,240 Speaker 2: it's just so damn good they have to unilaterally act 788 00:39:18,320 --> 00:39:19,080 Speaker 2: to depreciate. 789 00:39:19,520 --> 00:39:20,320 Speaker 3: It's Swiss Frank. 790 00:39:20,840 --> 00:39:22,719 Speaker 10: It's you know, been doing a good job in terms 791 00:39:22,800 --> 00:39:27,120 Speaker 10: of education, in terms of deciding who goes to apprenticeship 792 00:39:27,320 --> 00:39:29,640 Speaker 10: and who goes to kind of higher education and pushing 793 00:39:29,640 --> 00:39:33,239 Speaker 10: the envelope that way. Manufacturing is strong, obviously Farma is strong, 794 00:39:33,320 --> 00:39:35,600 Speaker 10: and then obviously all the bank stuff. But to you 795 00:39:35,840 --> 00:39:38,400 Speaker 10: to your question, the locally the issue is that we 796 00:39:38,480 --> 00:39:41,600 Speaker 10: just had a colleague in Asia in effects Swiss Franks 797 00:39:41,680 --> 00:39:43,400 Speaker 10: is the only one that people want to touch. 798 00:39:43,440 --> 00:39:43,680 Speaker 9: Now. 799 00:39:43,880 --> 00:39:45,799 Speaker 10: They're afraid about many other things, so there might be 800 00:39:45,840 --> 00:39:48,439 Speaker 10: some pressure there that they have to do something indeed. 801 00:39:49,080 --> 00:39:50,359 Speaker 6: What do you think, What do you think is the 802 00:39:50,360 --> 00:39:51,160 Speaker 6: Federal Reserve. 803 00:39:51,000 --> 00:39:51,640 Speaker 5: Going to do next? 804 00:39:52,239 --> 00:39:55,000 Speaker 10: So we think that you know, inflation pressure is going 805 00:39:55,040 --> 00:39:57,680 Speaker 10: to pick up August September and gross is going to 806 00:39:57,719 --> 00:40:01,880 Speaker 10: be a one percent, so they'll do a cuts in December, 807 00:40:01,960 --> 00:40:03,720 Speaker 10: but they will wait till December to do something. 808 00:40:03,760 --> 00:40:04,600 Speaker 3: Where are you based. 809 00:40:04,960 --> 00:40:08,319 Speaker 9: I'm based in New York. I finance caraies in New York. Yeah. 810 00:40:08,360 --> 00:40:11,200 Speaker 10: You know, as I said, Berne Einstein did all these 811 00:40:11,200 --> 00:40:13,400 Speaker 10: big discoveries in Bern when it was title. 812 00:40:13,680 --> 00:40:16,080 Speaker 2: I mean, I love the book on oiler. I don't 813 00:40:16,080 --> 00:40:16,680 Speaker 2: have it in front of me. 814 00:40:16,719 --> 00:40:18,400 Speaker 9: I'm sorry, but it's great. Are there one of the 815 00:40:18,440 --> 00:40:19,600 Speaker 9: best mathematicians ever. 816 00:40:19,719 --> 00:40:22,640 Speaker 3: You know, there is this whole French you know stuffiness. 817 00:40:22,680 --> 00:40:26,000 Speaker 2: You saw that with Macron, the king over French mathematics 818 00:40:26,000 --> 00:40:29,880 Speaker 2: and the Swiss rocking it when they invented basically finance. 819 00:40:30,040 --> 00:40:30,799 Speaker 7: Look at it right now. 820 00:40:30,840 --> 00:40:35,360 Speaker 6: There's they'd love to have us there, absolutely sure, Okay, anytime. 821 00:40:35,080 --> 00:40:37,920 Speaker 2: Version nev Yeah, I mean we could look over at 822 00:40:37,960 --> 00:40:39,359 Speaker 2: the don do medi yep. 823 00:40:40,000 --> 00:40:41,240 Speaker 3: Dominique don't be a stranger. 824 00:40:41,280 --> 00:40:44,400 Speaker 2: DOMINICQ two blow had an US Credit Award winning Barclays 825 00:40:44,600 --> 00:40:45,319 Speaker 2: are there on the is. 826 00:40:45,520 --> 00:40:46,000 Speaker 5: I see that. 827 00:40:46,600 --> 00:40:50,520 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 828 00:40:50,560 --> 00:40:53,560 Speaker 1: starting at seven am Eastern on Apple Corplay and Android 829 00:40:53,600 --> 00:40:56,640 Speaker 1: Auto with the Bloomberg Business App. You can also listen 830 00:40:56,719 --> 00:40:59,879 Speaker 1: live on Amazon Alexa from our flagship New York station, 831 00:41:00,520 --> 00:41:04,040 Speaker 1: Just say Alexa Play Bloomberg eleven thirty with us. 832 00:41:04,120 --> 00:41:07,680 Speaker 2: David Sowerby thrillies in her studios. Usually it's from the Midwest. 833 00:41:07,719 --> 00:41:11,320 Speaker 2: He's one of the great optimists at American capitalism. Within 834 00:41:12,000 --> 00:41:14,840 Speaker 2: a coorra from where you sit in the Midwest, is 835 00:41:14,880 --> 00:41:17,360 Speaker 2: the American job economy still in place or does it 836 00:41:17,400 --> 00:41:18,240 Speaker 2: finally break? 837 00:41:18,600 --> 00:41:22,520 Speaker 11: It's still in place. Michigan's unemployment rate a little bit 838 00:41:22,560 --> 00:41:27,000 Speaker 11: higher than the US, but the great American success story continues. 839 00:41:27,440 --> 00:41:30,560 Speaker 11: And in particular, just look at corporate free cash flow margins, 840 00:41:30,600 --> 00:41:31,880 Speaker 11: they're still well above average. 841 00:41:32,000 --> 00:41:34,160 Speaker 2: I watched that. That's something I really look at. Nancy 842 00:41:34,239 --> 00:41:38,319 Speaker 2: Lazar sat in your seat yesterday, the great economist, and 843 00:41:38,400 --> 00:41:43,160 Speaker 2: she said, we will see a capital investment renaissance led 844 00:41:43,160 --> 00:41:44,200 Speaker 2: by your Midwest. 845 00:41:44,200 --> 00:41:44,799 Speaker 3: Do you buy it? 846 00:41:45,080 --> 00:41:50,960 Speaker 11: Absolutely? The state of Michigan twelfth most competitive state on 847 00:41:51,120 --> 00:41:52,960 Speaker 11: tax climate per the Tax filel I. 848 00:41:52,920 --> 00:41:56,000 Speaker 2: Thought you had to say NCAA football excuse higher than that. 849 00:41:56,120 --> 00:41:59,600 Speaker 11: And Nancy has been writing about that manufacturing renaissance in 850 00:41:59,600 --> 00:42:01,200 Speaker 11: the midways for a number of years. 851 00:42:01,520 --> 00:42:02,480 Speaker 9: She is spot on. 852 00:42:03,400 --> 00:42:06,360 Speaker 6: Battle Creek, Michigan. One of the greatest city names I 853 00:42:06,360 --> 00:42:09,279 Speaker 6: think there is in America. Battle Creek, Michigan. It's home 854 00:42:09,320 --> 00:42:12,400 Speaker 6: the W. K. Kellogg in company. They're in the news today. 855 00:42:12,880 --> 00:42:15,399 Speaker 6: As a Michigan person, Detroit person, what do you think 856 00:42:15,400 --> 00:42:18,120 Speaker 6: about the sale of W. K. Kellogg? 857 00:42:18,800 --> 00:42:21,600 Speaker 11: It really goes back, Paul to the fact that in 858 00:42:21,800 --> 00:42:25,279 Speaker 11: small midcaps you're gonna make your best returns buying spinoffs, 859 00:42:25,480 --> 00:42:28,799 Speaker 11: like the Bloomberg Spinoff Index. So Kellogg split into the 860 00:42:28,800 --> 00:42:32,280 Speaker 11: serial division and then they split in the second division. 861 00:42:32,320 --> 00:42:36,480 Speaker 11: Was Kelenova? I bought Kelenova. They're being acquired by Mars 862 00:42:36,560 --> 00:42:41,080 Speaker 11: at a forty five percent pium. Kellanova is pringles cheese 863 00:42:41,080 --> 00:42:45,279 Speaker 11: its and pop tarts, which rivals the earlier discussion of 864 00:42:45,360 --> 00:42:49,120 Speaker 11: apple Jack's and curios and frosted flake. So spinoffs are 865 00:42:49,120 --> 00:42:51,240 Speaker 11: a great story. It's playing out with Kellogg. 866 00:42:51,280 --> 00:42:53,760 Speaker 2: Are they boltons from our ute? 867 00:42:54,160 --> 00:42:55,920 Speaker 3: Are they? Is it the same game? 868 00:42:56,000 --> 00:42:59,319 Speaker 2: The same bankers shell game is thirty years ago. 869 00:43:00,080 --> 00:43:04,040 Speaker 11: You unlock value by spinning off divisions. Maybe the smaller 870 00:43:04,040 --> 00:43:08,360 Speaker 11: division no longer needs to feed the big company beast 871 00:43:09,000 --> 00:43:12,440 Speaker 11: stands on their own, and that's been a great success 872 00:43:12,440 --> 00:43:15,320 Speaker 11: story in small midcaps over decades. 873 00:43:16,280 --> 00:43:19,960 Speaker 6: So do you try to find companies that are about 874 00:43:20,000 --> 00:43:23,120 Speaker 6: to engage into some corporate restructuring or ones once they've 875 00:43:23,160 --> 00:43:25,880 Speaker 6: already been spun off? You try to pick one that 876 00:43:25,920 --> 00:43:26,760 Speaker 6: has the best value. 877 00:43:27,000 --> 00:43:30,200 Speaker 11: You really look at all the spinoffs that are coming, 878 00:43:30,280 --> 00:43:32,640 Speaker 11: You get the news which ones are likely to spin, 879 00:43:33,160 --> 00:43:35,759 Speaker 11: then you do the digging. Very often only two or 880 00:43:35,760 --> 00:43:39,120 Speaker 11: three analysts are following the company in the eventual spin. 881 00:43:40,400 --> 00:43:43,040 Speaker 11: People inherit the spinoff stock. They don't want to own it, 882 00:43:43,080 --> 00:43:46,680 Speaker 11: they sell it. It creates buying opportunity. So the two great 883 00:43:46,800 --> 00:43:51,160 Speaker 11: formulas are spinoffs and under followed stocks were only two 884 00:43:51,239 --> 00:43:53,040 Speaker 11: Wall Street analysts follow the company. 885 00:43:53,120 --> 00:43:55,120 Speaker 6: So where are we today in that kind of environment? 886 00:43:55,120 --> 00:43:57,160 Speaker 6: I mean, I kind of see Wall Street shrinking their 887 00:43:57,160 --> 00:43:59,480 Speaker 6: research budgets. I'm not sure. It feels like there's fewer 888 00:43:59,480 --> 00:44:03,000 Speaker 6: animals following companies in general? Does that make your job 889 00:44:03,160 --> 00:44:04,280 Speaker 6: easier harder? 890 00:44:04,360 --> 00:44:05,120 Speaker 9: How does that work? 891 00:44:05,600 --> 00:44:11,040 Speaker 11: Probably creates more alpha excess return opportunities, because how much 892 00:44:11,040 --> 00:44:13,520 Speaker 11: a value can I add with the fifty analysts who 893 00:44:13,560 --> 00:44:15,760 Speaker 11: follow Apple. But if I can dig into a company, 894 00:44:15,760 --> 00:44:18,920 Speaker 11: we're only a couple analysts followed, I can have a 895 00:44:18,960 --> 00:44:21,960 Speaker 11: more direct pipeline to the company itself, the CEO and 896 00:44:22,000 --> 00:44:25,600 Speaker 11: a CFO. They'll often ask us for advice on what 897 00:44:25,719 --> 00:44:27,440 Speaker 11: do we need to do to get our stock hire, 898 00:44:27,480 --> 00:44:29,960 Speaker 11: whether it's buy back, get out, buy backs, get out 899 00:44:29,960 --> 00:44:32,360 Speaker 11: on the road. If you're willing to do the work, 900 00:44:32,800 --> 00:44:33,759 Speaker 11: the alpha is there. 901 00:44:34,760 --> 00:44:35,640 Speaker 7: What did tariffs? 902 00:44:35,719 --> 00:44:38,160 Speaker 6: What do teriffs mean for you in your research and 903 00:44:38,200 --> 00:44:41,399 Speaker 6: now source assessment process? Is that something that is it's 904 00:44:41,480 --> 00:44:43,719 Speaker 6: kind of got to go company by company or is 905 00:44:43,760 --> 00:44:46,720 Speaker 6: it just I going to lower my valuation outlook or something. 906 00:44:47,160 --> 00:44:50,680 Speaker 11: I think it's the overused term of idiosyncratic. You really 907 00:44:50,719 --> 00:44:54,279 Speaker 11: have to analyze the company. We'll be right into that 908 00:44:54,360 --> 00:44:57,960 Speaker 11: quickly with the earnings news that are coming out. Ultimately, 909 00:44:58,200 --> 00:45:01,000 Speaker 11: these tariffs are going to cost us about three hundred 910 00:45:01,040 --> 00:45:05,200 Speaker 11: billion dollars. Maybe seventy percent gets passed down to the consumer. 911 00:45:05,760 --> 00:45:09,360 Speaker 11: So that's a tax increase. I think this this tax 912 00:45:09,480 --> 00:45:12,879 Speaker 11: permanent tax cuts make us two steps forward. Tariffs take 913 00:45:12,920 --> 00:45:15,800 Speaker 11: us one step back. It's nothing short of a tax increase. 914 00:45:15,800 --> 00:45:16,400 Speaker 11: I'm going to add to. 915 00:45:16,400 --> 00:45:18,239 Speaker 2: So sickly, and then we got to finish up with 916 00:45:18,280 --> 00:45:20,640 Speaker 2: these these bolt guns that you're you're looking at like 917 00:45:20,719 --> 00:45:23,200 Speaker 2: Kellogg and Kelenove and Jesus and Jesus. 918 00:45:23,440 --> 00:45:24,920 Speaker 3: Jesus is a Dow component. 919 00:45:26,040 --> 00:45:29,800 Speaker 2: Tell me here, David Sawerby, with the myth the misconception 920 00:45:30,560 --> 00:45:34,239 Speaker 2: of the American auto business. You're like expert in this. 921 00:45:34,760 --> 00:45:38,319 Speaker 2: What's the thing people like me get wrong about the 922 00:45:38,360 --> 00:45:41,600 Speaker 2: Midwest and auto manufacturing. 923 00:45:41,000 --> 00:45:45,480 Speaker 11: In the last In the last five to seven years, 924 00:45:45,960 --> 00:45:49,160 Speaker 11: the car company's GM in particular four to two are 925 00:45:49,200 --> 00:45:54,000 Speaker 11: better allocators of capital, generating free cash. They're not doing 926 00:45:54,800 --> 00:45:59,799 Speaker 11: misguided acquisitions like SOB or Jaguarre, you name it. They're 927 00:45:59,840 --> 00:46:03,840 Speaker 11: just better allocators a capital. GM is now again growing 928 00:46:03,880 --> 00:46:07,080 Speaker 11: the dividend. They're just managed much better tower to be 929 00:46:07,160 --> 00:46:10,920 Speaker 11: by they have been at times. You date the autos, 930 00:46:11,000 --> 00:46:14,120 Speaker 11: you tend not to marry them, and I think that's 931 00:46:14,120 --> 00:46:15,800 Speaker 11: the story with the autos. But I think Wall Street 932 00:46:15,880 --> 00:46:19,120 Speaker 11: still needs to get better on the pre cash flow 933 00:46:19,200 --> 00:46:20,680 Speaker 11: generation of autos. 934 00:46:20,800 --> 00:46:23,640 Speaker 2: I got folks to bring at the beginning of this conversation. 935 00:46:24,360 --> 00:46:28,520 Speaker 2: Jesus's one day in the middle of twenty twenty four 936 00:46:28,560 --> 00:46:33,120 Speaker 2: a year ago, enjoyed a thirty eight percent lift. Where's 937 00:46:33,160 --> 00:46:35,040 Speaker 2: the next cheese? It's a wise one. 938 00:46:35,760 --> 00:46:39,480 Speaker 11: Well, I'll give you a couple of companies. One is Ryanair. 939 00:46:39,680 --> 00:46:43,359 Speaker 11: It's a lumber read yeah, okay, mostly in the South, 940 00:46:43,400 --> 00:46:46,400 Speaker 11: a little bit in the Northwest. Headquartered in Jacksonville, Florida. 941 00:46:46,840 --> 00:46:50,759 Speaker 11: They're selling their new Zealand timber property that's going to 942 00:46:50,880 --> 00:46:53,960 Speaker 11: generate seven hundred million in cash. They're going to grow 943 00:46:54,000 --> 00:46:56,320 Speaker 11: the dividend. It's a four and a half percent dividend 944 00:46:56,400 --> 00:46:58,040 Speaker 11: yield today, so it's a little better than a ten 945 00:46:58,120 --> 00:47:01,399 Speaker 11: year when dividend growth will probably be double digits. One more, 946 00:47:02,480 --> 00:47:08,680 Speaker 11: Northwest Energy Montana, Sioux Falls, South Dakota, Yellowstone Park, free 947 00:47:08,680 --> 00:47:13,960 Speaker 11: cash flow is now turning postage party they they operate there. 948 00:47:14,360 --> 00:47:19,360 Speaker 11: They're getting better rate relief, power demand, five percent dividend yield, 949 00:47:19,440 --> 00:47:22,720 Speaker 11: free cash flow positive. Only one analyst follows the company. 950 00:47:22,760 --> 00:47:25,520 Speaker 3: They're not at Sun Valley Companies. 951 00:47:25,440 --> 00:47:26,560 Speaker 11: Falls, South Dakota. 952 00:47:28,280 --> 00:47:30,560 Speaker 3: We got to keep this going, folks, David Sawerby. 953 00:47:30,680 --> 00:47:35,960 Speaker 11: One more, how about Hulahan Loki name we've talked about before, 954 00:47:36,680 --> 00:47:40,839 Speaker 11: m and a restructuring valuation. They're number one and all 955 00:47:40,880 --> 00:47:44,719 Speaker 11: three of their business silos really a small cap name 956 00:47:44,800 --> 00:47:48,080 Speaker 11: MidCap name that people really don't follow as well, but 957 00:47:48,120 --> 00:47:53,759 Speaker 11: they are number one in their categories restructuring, valuation h M, and. 958 00:47:53,800 --> 00:47:56,200 Speaker 2: A hugely valuable David. Sorry, thank you so much. 959 00:47:57,160 --> 00:48:02,000 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 960 00:48:02,120 --> 00:48:06,400 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 961 00:48:06,520 --> 00:48:10,000 Speaker 1: seven to ten am Eastern on Bloomberg dot com, the 962 00:48:10,080 --> 00:48:14,120 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 963 00:48:14,120 --> 00:48:17,480 Speaker 1: can also watch us live every weekday on YouTube and 964 00:48:17,719 --> 00:48:19,440 Speaker 1: always on the Bloomberg terminal