1 00:00:00,080 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,960 --> 00:00:15,560 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Tom Keene along 3 00:00:15,600 --> 00:00:18,960 Speaker 2: with Paul Sweeney. Join us each day for insight from 4 00:00:18,960 --> 00:00:23,160 Speaker 2: the best in economics, finance, investment, and international relations. You 5 00:00:23,160 --> 00:00:26,520 Speaker 2: can also watch the show live on YouTube. Visit the 6 00:00:26,520 --> 00:00:31,280 Speaker 2: Bloomberg Podcast channel on YouTube to see the show weekday 7 00:00:31,280 --> 00:00:34,320 Speaker 2: mornings from seven to ten am Eastern from our global 8 00:00:34,360 --> 00:00:39,000 Speaker 2: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 9 00:00:39,360 --> 00:00:42,920 Speaker 2: or anywhere else you listen and always I'm Bloomberg Radio, 10 00:00:43,080 --> 00:00:48,080 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business App. Kathy Greifeld 11 00:00:48,080 --> 00:00:50,720 Speaker 2: in for Paul Sweene. We've got a qualified guest to 12 00:00:50,840 --> 00:00:51,760 Speaker 2: drive forward this. 13 00:00:51,840 --> 00:00:52,560 Speaker 3: Wall of data. 14 00:00:53,159 --> 00:00:55,240 Speaker 4: Yeah, of course we're going to be speaking to now, 15 00:00:55,320 --> 00:00:58,560 Speaker 4: Jeffrey Cleveland. He is cheap us, a condommist over at 16 00:00:58,560 --> 00:01:02,280 Speaker 4: Peydon and Reigel. I let's talk about what we just learned. 17 00:01:02,280 --> 00:01:05,440 Speaker 4: Of course, retail sales a little bit cooler than anticipated, 18 00:01:05,440 --> 00:01:09,560 Speaker 4: but PPI coming in hot for February, increasing by point 19 00:01:09,680 --> 00:01:13,000 Speaker 4: six percent. Of course, consensus had been looking for point 20 00:01:13,160 --> 00:01:16,400 Speaker 4: three percent. Would love to hear your immediate reaction, because 21 00:01:16,440 --> 00:01:18,720 Speaker 4: it looks like right now the market's reacting to that PPI. 22 00:01:19,959 --> 00:01:22,240 Speaker 1: Well, I mean it's early here on the West coast, 23 00:01:22,240 --> 00:01:25,120 Speaker 1: so maybe I should start with a little controversy. I 24 00:01:25,240 --> 00:01:29,120 Speaker 1: don't see the case for rate cuts in this data. 25 00:01:29,200 --> 00:01:31,200 Speaker 1: I mean, just in order of importance for. 26 00:01:31,160 --> 00:01:31,960 Speaker 5: What I'm looking at. 27 00:01:32,120 --> 00:01:36,000 Speaker 1: Looking at initial claims dropping back below two hundred and 28 00:01:36,000 --> 00:01:39,160 Speaker 1: ten thousand in the latest week, I mean exceptionally low 29 00:01:39,480 --> 00:01:42,200 Speaker 1: layoff activity. So that's the sign of, I think, a 30 00:01:42,240 --> 00:01:45,319 Speaker 1: still solid labor market. And then if you go next 31 00:01:45,440 --> 00:01:49,080 Speaker 1: to PPI, it definitely came in hotter than we expected. 32 00:01:49,800 --> 00:01:54,600 Speaker 1: We already penciled in a point three four pc increase 33 00:01:54,720 --> 00:01:57,160 Speaker 1: four February so for later this month, So we might 34 00:01:57,200 --> 00:01:59,960 Speaker 1: have to take another look at this after this broadcast 35 00:02:00,080 --> 00:02:03,800 Speaker 1: and and me bump that up a little. But nothing 36 00:02:03,880 --> 00:02:06,840 Speaker 1: there that I think. If I'm a policy maker sitting 37 00:02:06,880 --> 00:02:10,400 Speaker 1: around Washington next week, I'm going to be really confident 38 00:02:11,080 --> 00:02:13,799 Speaker 1: that we've done enough. And then the retail sales, I mean, 39 00:02:13,840 --> 00:02:16,519 Speaker 1: I think Tom is exactly right. Look at Core, look 40 00:02:16,560 --> 00:02:19,440 Speaker 1: at the control group. The only thing that we always 41 00:02:19,480 --> 00:02:22,040 Speaker 1: tell clients about retail sales is it's just capturing a 42 00:02:22,080 --> 00:02:26,440 Speaker 1: subset of consumer spending mostly on goods. I like to 43 00:02:26,480 --> 00:02:28,840 Speaker 1: look at, you know, consumer incomes still growing at a 44 00:02:28,840 --> 00:02:31,720 Speaker 1: good pace through February, and I think that will go 45 00:02:31,760 --> 00:02:32,320 Speaker 1: into spending. 46 00:02:32,440 --> 00:02:35,000 Speaker 5: So yeah, that's my Takeing different. 47 00:02:35,000 --> 00:02:36,240 Speaker 3: Cleveland with us a paid RAO. 48 00:02:36,320 --> 00:02:39,960 Speaker 2: We welcome all of you across America and worldwide. Thrilled 49 00:02:40,000 --> 00:02:42,960 Speaker 2: with the worldwide performance. Apple car Play is the way 50 00:02:42,960 --> 00:02:44,480 Speaker 2: to get us. It's a new way to get us 51 00:02:44,520 --> 00:02:47,639 Speaker 2: safer better. Good morning on Android and Google Play as 52 00:02:47,680 --> 00:02:52,880 Speaker 2: well on YouTube. Go to Bloomberg Podcasts and it's just growing, growing, growing. 53 00:02:53,000 --> 00:02:57,520 Speaker 2: Thank you for your interest in Bloomberg Podcasts and our 54 00:02:57,560 --> 00:02:58,720 Speaker 2: live chat out there. 55 00:02:58,560 --> 00:03:01,880 Speaker 3: Really in forum. Good morning of all places, Caracas, Venezuela. 56 00:03:02,000 --> 00:03:05,639 Speaker 2: Thank you so much for coming to us from Caracas 57 00:03:06,080 --> 00:03:06,640 Speaker 2: this morning. 58 00:03:06,919 --> 00:03:08,920 Speaker 3: Jeff Jason Furman up. 59 00:03:08,800 --> 00:03:10,880 Speaker 2: At Harvard had a really important and I don't want 60 00:03:10,880 --> 00:03:13,080 Speaker 2: to sum up the economic data here, but he had 61 00:03:13,120 --> 00:03:15,840 Speaker 2: a really important insight, which is three point nine percent 62 00:03:15,880 --> 00:03:20,959 Speaker 2: unemployment is different than four point zero percent unemployment. When 63 00:03:20,960 --> 00:03:23,160 Speaker 2: I see claims and what they did today two hundred 64 00:03:23,240 --> 00:03:26,960 Speaker 2: nine thousand with a constructive fully employed revision from two 65 00:03:27,040 --> 00:03:30,839 Speaker 2: seventeen to two ten, you don't get to a four 66 00:03:30,880 --> 00:03:33,560 Speaker 2: percent unemployment, right, do you? 67 00:03:33,600 --> 00:03:33,680 Speaker 3: No? 68 00:03:33,760 --> 00:03:36,320 Speaker 1: And you also have continuing claims dipping back below that 69 00:03:36,360 --> 00:03:39,960 Speaker 1: one point nine, So that looks good. I'm a little 70 00:03:40,280 --> 00:03:43,200 Speaker 1: skeptical on the three point nine tom that we got 71 00:03:43,280 --> 00:03:45,880 Speaker 1: last week. I mean, you look at that household survey. 72 00:03:46,280 --> 00:03:49,840 Speaker 1: You know that is notoriously volatile survey. I think the 73 00:03:50,400 --> 00:03:53,680 Speaker 1: confidence interval, the plus minus is six hundred thousand on 74 00:03:53,880 --> 00:03:57,440 Speaker 1: the household employment survey. It was down a bit last month, 75 00:03:57,480 --> 00:03:59,720 Speaker 1: but it's been volatile in the last year and a half, 76 00:03:59,760 --> 00:04:02,640 Speaker 1: and it's possible we touch three point nine, but then 77 00:04:02,640 --> 00:04:05,800 Speaker 1: we see dip back down in the unemployment rate in 78 00:04:05,840 --> 00:04:08,040 Speaker 1: the months ahead, you know, back to three point seven 79 00:04:08,120 --> 00:04:10,160 Speaker 1: or something. So I think we're we're gonna stick under 80 00:04:10,160 --> 00:04:12,720 Speaker 1: four percent for the year. That's that's our forecast. 81 00:04:13,120 --> 00:04:15,720 Speaker 4: So the labor market it is still hot. Of course, 82 00:04:16,000 --> 00:04:17,640 Speaker 4: like you said at the top, you don't see any 83 00:04:17,720 --> 00:04:19,760 Speaker 4: reason for the FED to cut rates. 84 00:04:19,800 --> 00:04:19,960 Speaker 2: Here. 85 00:04:20,040 --> 00:04:22,839 Speaker 4: Let's try to create a little bit more controversy. Do 86 00:04:22,880 --> 00:04:26,000 Speaker 4: you put any water in the theory that maybe actually 87 00:04:26,000 --> 00:04:27,160 Speaker 4: the next move will be a hike. 88 00:04:28,320 --> 00:04:30,760 Speaker 1: I think you can't rule it out. Why do I 89 00:04:30,800 --> 00:04:35,400 Speaker 1: say that it's possible to be controversial, that maybe we're 90 00:04:35,440 --> 00:04:38,400 Speaker 1: just gonna settle in at a bit higher year on 91 00:04:38,480 --> 00:04:41,359 Speaker 1: year rate of inflation, not you know, not five percent, 92 00:04:41,760 --> 00:04:44,200 Speaker 1: not six percent like we saw in the middle of 93 00:04:44,240 --> 00:04:47,640 Speaker 1: twenty two, but you know, three to four percent, something 94 00:04:47,680 --> 00:04:50,159 Speaker 1: in that range, and then our policy maker is going 95 00:04:50,200 --> 00:04:52,760 Speaker 1: to be okay with that. Maybe some are maybe some 96 00:04:52,839 --> 00:04:56,840 Speaker 1: think that the inflation target should be higher, but I think, 97 00:04:57,000 --> 00:04:59,320 Speaker 1: buy and large, most policy makers want a two handle 98 00:04:59,680 --> 00:05:02,320 Speaker 1: on a inflation So three to four percent on core 99 00:05:02,360 --> 00:05:04,479 Speaker 1: inflation is too high. And in that case, if we 100 00:05:04,560 --> 00:05:07,280 Speaker 1: just sort of linger there, that might open the door 101 00:05:07,400 --> 00:05:10,120 Speaker 1: to another hike. In our outlook, we put about a 102 00:05:10,120 --> 00:05:11,680 Speaker 1: ten percent chance on that for. 103 00:05:11,600 --> 00:05:15,000 Speaker 5: The year, So you know, it's a risk. It's not 104 00:05:15,040 --> 00:05:16,680 Speaker 5: our base price, but it is definitely a risk. 105 00:05:16,800 --> 00:05:19,440 Speaker 2: Katie Chi, your yield up one basis point ten, You're 106 00:05:19,480 --> 00:05:21,240 Speaker 2: yield up three basis. 107 00:05:20,839 --> 00:05:21,719 Speaker 3: Points this morning. 108 00:05:21,839 --> 00:05:23,640 Speaker 4: Yeah, we are seeing a little bit of a cooling 109 00:05:23,720 --> 00:05:25,600 Speaker 4: of that knee jerk reaction. You take a look at 110 00:05:25,640 --> 00:05:28,000 Speaker 4: S and P five hundred futures, they're still higher to 111 00:05:28,080 --> 00:05:30,560 Speaker 4: the tune of two tenths of a percent. They had 112 00:05:30,600 --> 00:05:33,000 Speaker 4: been looking at a little pre market gain of three 113 00:05:33,120 --> 00:05:36,279 Speaker 4: tenths of a percent, So not too much action. But 114 00:05:36,680 --> 00:05:40,960 Speaker 4: let's keep this conversation going on inflation. That's sticky inflation. 115 00:05:41,160 --> 00:05:44,640 Speaker 4: What keeps inflation elevated maybe to the tune of three 116 00:05:44,640 --> 00:05:48,479 Speaker 4: to four percent when you really break apart the components, Well, you. 117 00:05:48,480 --> 00:05:49,880 Speaker 5: Break apart the components we had. 118 00:05:50,120 --> 00:05:53,600 Speaker 1: We benefited last year from goods prices discillerating quite a bit. 119 00:05:53,560 --> 00:05:54,520 Speaker 5: Falling year on year. 120 00:05:55,279 --> 00:05:57,960 Speaker 1: It's possible in our view that that's behind us, and 121 00:05:58,160 --> 00:06:00,520 Speaker 1: goods prices will be sort of flat. There could be 122 00:06:00,520 --> 00:06:04,080 Speaker 1: even some upside pressure there. So I wouldn't bake in 123 00:06:04,120 --> 00:06:06,560 Speaker 1: any further disinflation based on that one. 124 00:06:06,720 --> 00:06:08,560 Speaker 5: Another area where I have. 125 00:06:08,480 --> 00:06:11,400 Speaker 1: The keenest interest in People say to me, look, Jeffrey, 126 00:06:11,440 --> 00:06:14,039 Speaker 1: look at the private sector rent metrics. 127 00:06:14,040 --> 00:06:15,560 Speaker 5: They're showing disinflation. 128 00:06:16,120 --> 00:06:18,040 Speaker 1: And I say, yeah, a lot of those private sector 129 00:06:18,080 --> 00:06:21,440 Speaker 1: rent metrics are looking at new leases, so that's only 130 00:06:21,480 --> 00:06:23,600 Speaker 1: capturing a subset of the market. 131 00:06:23,880 --> 00:06:25,560 Speaker 5: The BLS metric that's looking at. 132 00:06:25,440 --> 00:06:28,200 Speaker 1: The average rental rate, you know, including people who have 133 00:06:28,240 --> 00:06:31,919 Speaker 1: renewed leases. That might be a better reflection and five 134 00:06:31,960 --> 00:06:35,039 Speaker 1: percent rental increase that might be a more a better 135 00:06:35,080 --> 00:06:37,480 Speaker 1: reflection of reality. That's higher than we saw pre COVID, 136 00:06:37,800 --> 00:06:39,560 Speaker 1: So that that argues for higher inflation. 137 00:06:40,000 --> 00:06:41,320 Speaker 5: Core inflation going forward. 138 00:06:41,480 --> 00:06:45,599 Speaker 2: Paid and Riegel are living in the new productivity of America. 139 00:06:45,680 --> 00:06:48,599 Speaker 2: You're away from three zip codes in Manhattan with a 140 00:06:48,680 --> 00:06:50,720 Speaker 2: view of a New York City and maybe you can 141 00:06:50,760 --> 00:06:56,760 Speaker 2: call it the trajectory from Washington up to Boston. Tell 142 00:06:56,839 --> 00:07:01,920 Speaker 2: us the new productivity you observe in Austin, in Atlanta, 143 00:07:01,920 --> 00:07:04,600 Speaker 2: I've read about the Georgia boom here a couple of 144 00:07:04,680 --> 00:07:07,560 Speaker 2: articles the last couple of days. And then out to California. 145 00:07:07,640 --> 00:07:10,560 Speaker 2: Jeffrey Cleveland the new productivity in America? 146 00:07:10,760 --> 00:07:11,720 Speaker 3: Do you observe it? 147 00:07:13,000 --> 00:07:15,840 Speaker 1: Well, yeah, I do, and we definitely are seeing more 148 00:07:15,880 --> 00:07:21,600 Speaker 1: productivity internally. You know, we've got offices in Los Angeles, Boston, London, 149 00:07:21,600 --> 00:07:24,480 Speaker 1: and Milan. So I know our London trading floor tunes 150 00:07:24,480 --> 00:07:25,760 Speaker 1: into this program, tom. 151 00:07:25,600 --> 00:07:29,240 Speaker 5: So hello to those folks. And I think the productivity 152 00:07:29,280 --> 00:07:30,880 Speaker 5: is maybe it's the key here. 153 00:07:31,360 --> 00:07:35,160 Speaker 1: You can have higher wage growth four to five percent 154 00:07:35,200 --> 00:07:37,720 Speaker 1: nominal wage growth, and it not means that you have 155 00:07:37,800 --> 00:07:40,840 Speaker 1: higher inflation if you get productivity to pick up on 156 00:07:40,880 --> 00:07:43,840 Speaker 1: a sustainable basis. The last twelve months, I think we've 157 00:07:43,840 --> 00:07:46,280 Speaker 1: seen that productivity picked up. It's about two percent year 158 00:07:46,280 --> 00:07:50,200 Speaker 1: on year. So do we get more gains there do 159 00:07:50,320 --> 00:07:54,800 Speaker 1: we get you know, sustainable two percent type of productivity growth. 160 00:07:54,800 --> 00:07:57,200 Speaker 1: That's a that's a big open question. We need it 161 00:07:57,280 --> 00:08:01,160 Speaker 1: because that can keep inflation and check wise we might 162 00:08:01,720 --> 00:08:02,720 Speaker 1: we might end up at. 163 00:08:02,680 --> 00:08:04,640 Speaker 5: Higher levels of inflation or higher rates inflation. 164 00:08:04,720 --> 00:08:07,000 Speaker 2: As I mean, jeff I got thirty seconds left. Did 165 00:08:07,040 --> 00:08:09,400 Speaker 2: you really swim across the English Channel? 166 00:08:09,720 --> 00:08:12,960 Speaker 1: Yes, their two thousand and eight, September thirteen, two thousand 167 00:08:12,960 --> 00:08:15,880 Speaker 1: and eight. It was a Saturday. I believe Lehman was 168 00:08:15,920 --> 00:08:19,000 Speaker 1: preparing to file bankerscy on that Monday morning. So in 169 00:08:19,040 --> 00:08:21,600 Speaker 1: the midst of the financial crisis, I just decided to 170 00:08:21,640 --> 00:08:26,040 Speaker 1: swim the twenty six miles from Dover in the UK 171 00:08:26,280 --> 00:08:29,000 Speaker 1: to France ten hours and change. 172 00:08:29,240 --> 00:08:30,400 Speaker 3: That's phenomenal. 173 00:08:30,440 --> 00:08:33,880 Speaker 2: What was your one observation that you did not expect 174 00:08:33,920 --> 00:08:36,600 Speaker 2: when you did this amazing feat. 175 00:08:36,679 --> 00:08:37,880 Speaker 3: What was the thing we learned? 176 00:08:38,440 --> 00:08:41,000 Speaker 1: It's the cold, Tom, It's not the distance. You can train, 177 00:08:41,080 --> 00:08:44,400 Speaker 1: you can prepare for the distance, it's difficult to prepare 178 00:08:44,400 --> 00:08:47,360 Speaker 1: for the cold. It was fifty eight degrees fahrenheit in 179 00:08:47,400 --> 00:08:50,120 Speaker 1: the water that day, so that that was the big challenge. 180 00:08:50,400 --> 00:08:51,880 Speaker 3: Jeffrey, thank you so much. 181 00:08:51,880 --> 00:08:53,720 Speaker 2: Don't be a stranger way out on the West coast 182 00:08:53,720 --> 00:08:56,680 Speaker 2: out of Claremont and all his work with Peyton and Rigel. 183 00:08:56,720 --> 00:09:10,760 Speaker 2: Jeffrey Cleveland with us this spring, Cather greifeld in for 184 00:09:10,800 --> 00:09:12,880 Speaker 2: Paul Swinging. You've got a qualified. 185 00:09:12,400 --> 00:09:15,000 Speaker 3: Guest to drive forward this wall of data. 186 00:09:15,600 --> 00:09:17,719 Speaker 4: Yeah, of course we're going to be speaking to now, 187 00:09:17,760 --> 00:09:21,000 Speaker 4: Jeffrey Cleveland. He is cheap us a condomist over at 188 00:09:21,040 --> 00:09:24,720 Speaker 4: Peydon and Reigel. Let's talk about what we just learned. 189 00:09:24,760 --> 00:09:27,880 Speaker 4: Of course, retail sales a little bit cooler than anticipated, 190 00:09:27,880 --> 00:09:32,079 Speaker 4: but PPI coming in hot for February, increasing by point 191 00:09:32,160 --> 00:09:35,439 Speaker 4: six percent. Of course consensus had been looking for point 192 00:09:35,640 --> 00:09:38,840 Speaker 4: three percent. Would love to hear your immediate reaction, because 193 00:09:38,880 --> 00:09:41,160 Speaker 4: it looks like right now the market's reacting to that PPI. 194 00:09:42,400 --> 00:09:44,640 Speaker 1: Well, I mean it's early here on the West coast, 195 00:09:44,679 --> 00:09:47,560 Speaker 1: so maybe I should start with a little controversy. I 196 00:09:47,679 --> 00:09:51,920 Speaker 1: don't see the case for raycuts in this data. I mean, 197 00:09:52,280 --> 00:09:54,440 Speaker 1: just in order of importance for what I'm looking at. 198 00:09:54,559 --> 00:09:58,440 Speaker 1: Looking at initial claims dropping back below two hundred and 199 00:09:58,480 --> 00:10:01,559 Speaker 1: ten thousand in the latest week, I mean exceptionally low 200 00:10:01,960 --> 00:10:04,680 Speaker 1: layoff activity. So that's the sign of I think a 201 00:10:04,720 --> 00:10:07,760 Speaker 1: still solid labor market. And then if you go next 202 00:10:07,880 --> 00:10:11,520 Speaker 1: to PPI. It definitely came in hotter than we expected. 203 00:10:12,240 --> 00:10:17,120 Speaker 1: We already penciled in a point three poor PCE increase 204 00:10:17,160 --> 00:10:19,600 Speaker 1: four February, so for later this month. So we might 205 00:10:19,640 --> 00:10:22,440 Speaker 1: have to take another look at this after this broadcast 206 00:10:22,480 --> 00:10:26,560 Speaker 1: and maybe bumped that up a little. But nothing there 207 00:10:26,640 --> 00:10:29,680 Speaker 1: that I think. If I'm a policy maker sitting around 208 00:10:29,760 --> 00:10:34,160 Speaker 1: Washington next week, I'm gonna be really confident that we've 209 00:10:34,160 --> 00:10:36,360 Speaker 1: done enough. And then the retail sales, I mean, I 210 00:10:36,360 --> 00:10:39,160 Speaker 1: think Tom is exactly right. Look at Core, look at 211 00:10:39,160 --> 00:10:42,120 Speaker 1: the control group. The only thing that we always tell 212 00:10:42,160 --> 00:10:45,040 Speaker 1: clients about retail sales is it's just capturing a subset 213 00:10:45,600 --> 00:10:49,079 Speaker 1: of consumer spending mostly on goods. I like to look 214 00:10:49,120 --> 00:10:51,480 Speaker 1: at you know, consumer incomes still growing at a good 215 00:10:51,480 --> 00:10:54,200 Speaker 1: pace through through February, and I think that will go 216 00:10:54,200 --> 00:10:54,760 Speaker 1: into spending. 217 00:10:54,920 --> 00:10:56,560 Speaker 5: So yeah, that's my take. 218 00:10:56,800 --> 00:10:59,720 Speaker 2: Different Cleveland with us a paidrago, we welcome all of 219 00:10:59,760 --> 00:11:03,760 Speaker 2: you across America and worldwide. Thrilled with the worldwide performance. 220 00:11:04,120 --> 00:11:06,040 Speaker 2: Apple car Play is the way to get us. It's 221 00:11:06,040 --> 00:11:08,199 Speaker 2: a new way to get us safer better. Good Morning 222 00:11:08,200 --> 00:11:11,960 Speaker 2: on Android and Google Play as well on YouTube. Go 223 00:11:11,960 --> 00:11:15,680 Speaker 2: to Bloomberg Podcasts and it's just growing, growing, growing. Thank 224 00:11:15,760 --> 00:11:20,240 Speaker 2: you for your interest in Bloomberg Podcasts and our live 225 00:11:20,320 --> 00:11:24,360 Speaker 2: chat out there really in form Good morning of all places, Caracas, Venezuela. 226 00:11:24,440 --> 00:11:28,120 Speaker 2: Thank you so much for coming to us from Caracas 227 00:11:28,520 --> 00:11:32,199 Speaker 2: this morning. Jeff Jason Furman up at Harvard had a 228 00:11:32,240 --> 00:11:34,240 Speaker 2: really important and I don't want to sum up the economic 229 00:11:34,320 --> 00:11:37,120 Speaker 2: data here, but he had a really important insight, which 230 00:11:37,160 --> 00:11:40,480 Speaker 2: is three point nine percent unemployment is different than four 231 00:11:40,520 --> 00:11:44,520 Speaker 2: point zero percent unemployment. When I see claims and what 232 00:11:44,600 --> 00:11:46,880 Speaker 2: they did today two hundred and nine thousand with a 233 00:11:46,960 --> 00:11:51,360 Speaker 2: constructive fully employed revision from two seventeen to two ten, 234 00:11:52,080 --> 00:11:54,720 Speaker 2: you don't get to a four percent unemployment, right, do 235 00:11:54,800 --> 00:11:56,120 Speaker 2: you no? 236 00:11:56,240 --> 00:11:58,760 Speaker 1: And you also have continuing claims dipping back below that 237 00:11:58,840 --> 00:12:02,400 Speaker 1: one point nine, So that looks good. I'm a little 238 00:12:02,760 --> 00:12:05,640 Speaker 1: skeptical on the three point nine tom that we got 239 00:12:05,760 --> 00:12:08,319 Speaker 1: last week. I mean, you look at that household survey. 240 00:12:08,760 --> 00:12:12,319 Speaker 1: You know that is notoriously volatile survey. I think the 241 00:12:12,840 --> 00:12:16,160 Speaker 1: confidence interval, the plus minus is six hundred thousand on 242 00:12:16,320 --> 00:12:19,880 Speaker 1: the household employment survey. It was down a bit last month, 243 00:12:19,920 --> 00:12:22,240 Speaker 1: but it's been volatile in the last year and a half, 244 00:12:22,280 --> 00:12:25,080 Speaker 1: and it's possible. We touched three point nine, but then 245 00:12:25,120 --> 00:12:28,080 Speaker 1: we see a dip back down in the unemployment rate 246 00:12:28,160 --> 00:12:30,240 Speaker 1: in the months ahead, you know, back to three point 247 00:12:30,280 --> 00:12:32,280 Speaker 1: seven or something. So I think we're going to stick 248 00:12:32,400 --> 00:12:33,559 Speaker 1: under four percent for the year. 249 00:12:34,280 --> 00:12:35,160 Speaker 5: That's our forecast. 250 00:12:35,559 --> 00:12:38,160 Speaker 4: So the labor market it is still hot. Of course, 251 00:12:38,480 --> 00:12:40,120 Speaker 4: like you said at the top, you don't see any 252 00:12:40,160 --> 00:12:42,880 Speaker 4: reason for the FED to cut rates here. Let's try 253 00:12:42,920 --> 00:12:45,840 Speaker 4: to create a little bit more controversy. Do you put 254 00:12:45,880 --> 00:12:48,800 Speaker 4: any water in the theory that maybe actually the next 255 00:12:48,800 --> 00:12:49,600 Speaker 4: move will be a hike? 256 00:12:50,800 --> 00:12:53,200 Speaker 1: I think you can't rule it out. Why do I 257 00:12:53,240 --> 00:12:57,839 Speaker 1: say that it's possible to be controversial that maybe we're 258 00:12:57,880 --> 00:13:00,719 Speaker 1: just going to settle in at a bit higher year 259 00:13:00,760 --> 00:13:03,840 Speaker 1: on year rate of inflation, not you know, not five percent, 260 00:13:04,240 --> 00:13:06,680 Speaker 1: not six percent like we saw in the middle of 261 00:13:06,720 --> 00:13:10,080 Speaker 1: twenty two, but you know, three to four percent something 262 00:13:10,120 --> 00:13:12,600 Speaker 1: in that range, and then our policy maker is going 263 00:13:12,679 --> 00:13:15,199 Speaker 1: to be okay with that. Maybe some are maybe some 264 00:13:15,280 --> 00:13:19,360 Speaker 1: think that the inflation target should be higher, but I think, 265 00:13:19,440 --> 00:13:21,760 Speaker 1: buy and large most policy makers want a two handle 266 00:13:22,160 --> 00:13:25,199 Speaker 1: on inflation. So three to four percent on core inflation 267 00:13:25,280 --> 00:13:27,080 Speaker 1: is too high. And in that case, if we just 268 00:13:27,120 --> 00:13:29,960 Speaker 1: start of linger there that might open the door to 269 00:13:30,120 --> 00:13:32,720 Speaker 1: another hike. In our outlook, we put about a ten 270 00:13:32,760 --> 00:13:35,640 Speaker 1: percent chance on that for the year, so you know 271 00:13:35,679 --> 00:13:38,200 Speaker 1: it's it's a risk. It's not our base pes, but 272 00:13:38,240 --> 00:13:39,160 Speaker 1: it is definitely a risk. 273 00:13:39,280 --> 00:13:42,200 Speaker 2: Katie Chire, yield up one basis point ten, You're yield 274 00:13:42,280 --> 00:13:44,160 Speaker 2: up three basis points this morning. 275 00:13:44,280 --> 00:13:46,079 Speaker 4: Yeah, we are seeing a little bit of a cooling 276 00:13:46,160 --> 00:13:48,040 Speaker 4: of that knee jerk reaction. You take a look at 277 00:13:48,080 --> 00:13:50,480 Speaker 4: S and P five hundred futures, they're still higher to 278 00:13:50,520 --> 00:13:53,040 Speaker 4: the tune of two tenths of a percent. They had 279 00:13:53,080 --> 00:13:55,520 Speaker 4: been looking at a little pre market gain of three 280 00:13:55,559 --> 00:13:58,760 Speaker 4: tenths of a percent, So not too much action. But 281 00:13:59,120 --> 00:14:03,400 Speaker 4: let's keep this converse going on inflation. That's sticky inflation. 282 00:14:03,600 --> 00:14:07,080 Speaker 4: What keeps inflation elevated maybe to the tune of three 283 00:14:07,120 --> 00:14:10,960 Speaker 4: to four percent when you really break apart the components, Well. 284 00:14:10,840 --> 00:14:13,360 Speaker 1: You break apart the components we had we benefited last 285 00:14:13,440 --> 00:14:16,040 Speaker 1: year from goods prices discillerating quite a bit. 286 00:14:16,040 --> 00:14:16,960 Speaker 5: Falling year on year. 287 00:14:17,720 --> 00:14:20,120 Speaker 1: It's possible in our view that that that's behind us 288 00:14:20,200 --> 00:14:22,960 Speaker 1: and goods prices be sort of flat. There could be 289 00:14:23,000 --> 00:14:25,960 Speaker 1: even some upside pressure there. So I wouldn't I wouldn't 290 00:14:26,200 --> 00:14:28,160 Speaker 1: bake in any further disinflation based. 291 00:14:27,880 --> 00:14:29,000 Speaker 5: On that one. 292 00:14:29,200 --> 00:14:31,960 Speaker 1: Another area where you know, I have a keenest interest 293 00:14:32,000 --> 00:14:34,320 Speaker 1: in People say to me, look, Jeffrey, look at the 294 00:14:34,360 --> 00:14:36,480 Speaker 1: private sector rent metrics. 295 00:14:36,480 --> 00:14:38,000 Speaker 5: They're showing disinflation. 296 00:14:38,560 --> 00:14:40,520 Speaker 1: And I say, yeah, a lot of those private sector 297 00:14:40,520 --> 00:14:43,920 Speaker 1: rent metrics are looking at new leases, so that's only 298 00:14:43,920 --> 00:14:47,520 Speaker 1: capturing a subset of the market. The BLS metric that's 299 00:14:47,520 --> 00:14:50,400 Speaker 1: looking at the average rental rate, you know, including people 300 00:14:50,400 --> 00:14:53,600 Speaker 1: who have renewed leases. That might be a better reflection 301 00:14:53,840 --> 00:14:56,920 Speaker 1: and five percent rental increase that might be a more 302 00:14:57,200 --> 00:14:59,280 Speaker 1: a better reflection of reality that's higher than we saw 303 00:14:59,320 --> 00:15:03,080 Speaker 1: pre COVID, So that argues for higher inflation core inflation 304 00:15:03,200 --> 00:15:03,800 Speaker 1: going forward. 305 00:15:03,960 --> 00:15:08,080 Speaker 2: Peyton Riegel are living in the new productivity of America. 306 00:15:08,120 --> 00:15:09,840 Speaker 3: You're away from three zip codes. 307 00:15:09,560 --> 00:15:12,440 Speaker 2: In Manhattan with a view of a New York City 308 00:15:12,480 --> 00:15:17,360 Speaker 2: and maybe you can call it the trajectory from Washington 309 00:15:17,520 --> 00:15:21,680 Speaker 2: up to Boston. Tell us the new productivity you observe 310 00:15:22,640 --> 00:15:25,800 Speaker 2: in Austin. In Atlanta, I read about the Georgia boom 311 00:15:25,840 --> 00:15:28,800 Speaker 2: here a couple articles the last couple of days, and 312 00:15:28,840 --> 00:15:33,000 Speaker 2: then out to California. Jeffrey Cleveland, the new productivity in America. 313 00:15:33,200 --> 00:15:34,160 Speaker 3: Do you observe it? 314 00:15:35,440 --> 00:15:38,280 Speaker 1: Well, yeah, I do, and we definitely are seeing more 315 00:15:38,320 --> 00:15:44,040 Speaker 1: productivity internally. You know, we've got offices in Los Angeles, Boston, London, 316 00:15:44,080 --> 00:15:46,920 Speaker 1: and Milan, so I know our London trading floor tunes 317 00:15:46,960 --> 00:15:48,240 Speaker 1: into this program, Tom. 318 00:15:48,080 --> 00:15:51,680 Speaker 5: So hello to those folks. And I think the productivity 319 00:15:51,720 --> 00:15:53,360 Speaker 5: is maybe it's the key here. 320 00:15:53,800 --> 00:15:57,600 Speaker 1: You can have higher wage growth four to five percent 321 00:15:57,640 --> 00:16:00,200 Speaker 1: nominal wage growth, and it not mean that you have 322 00:16:00,280 --> 00:16:03,240 Speaker 1: higher inflation if you get productivity to pick up on 323 00:16:03,320 --> 00:16:06,280 Speaker 1: a sustainable basis. The last twelve months, I think we've 324 00:16:06,280 --> 00:16:07,720 Speaker 1: seen that productivity picked up. 325 00:16:07,720 --> 00:16:10,440 Speaker 5: It's about two percent year on year. So do we 326 00:16:10,480 --> 00:16:11,640 Speaker 5: get more gains there? 327 00:16:12,560 --> 00:16:16,400 Speaker 1: Do we get you know, sustainable two percent type of 328 00:16:16,480 --> 00:16:19,280 Speaker 1: productivity growth, that's a that's a big open question. We 329 00:16:19,320 --> 00:16:22,840 Speaker 1: need it because that can keep inflation and check. Otherwise 330 00:16:22,920 --> 00:16:25,760 Speaker 1: we might we might end up at higher levels of 331 00:16:25,760 --> 00:16:27,120 Speaker 1: inflation or higher rates of inflation. 332 00:16:27,160 --> 00:16:29,480 Speaker 2: As I mean, Jeff, I got thirty seconds left. Did 333 00:16:29,480 --> 00:16:31,880 Speaker 2: you really swim across the English channel? 334 00:16:32,160 --> 00:16:32,360 Speaker 3: Yes? 335 00:16:32,400 --> 00:16:35,640 Speaker 1: There, two thousand and eight, September thirteen, two thousand and eight. 336 00:16:35,640 --> 00:16:36,480 Speaker 5: It was a Saturday. 337 00:16:36,760 --> 00:16:40,600 Speaker 1: I believe Lehman was preparing to file bankerscy on that 338 00:16:40,640 --> 00:16:43,000 Speaker 1: Monday morning. So in the midst of the financial crisis, 339 00:16:43,000 --> 00:16:46,280 Speaker 1: I just decided to swim the twenty six miles from 340 00:16:46,760 --> 00:16:51,400 Speaker 1: Dover in the UK to France ten hours and change. 341 00:16:51,680 --> 00:16:52,840 Speaker 3: That's phenomenal. 342 00:16:52,880 --> 00:16:56,320 Speaker 2: What was your one observation that you did not expect 343 00:16:56,400 --> 00:16:59,040 Speaker 2: when you did this amazing feet? 344 00:16:59,120 --> 00:17:00,320 Speaker 3: What was the thing with learned? 345 00:17:00,360 --> 00:17:03,440 Speaker 1: It's the cold, Tom, It's not the distance. You can train, 346 00:17:03,520 --> 00:17:06,840 Speaker 1: you can prepare for the distance. It's difficult to prepare 347 00:17:06,840 --> 00:17:09,800 Speaker 1: for the cold. It was fifty eight degrees fahrenheit in 348 00:17:09,840 --> 00:17:11,800 Speaker 1: the water that day, so that was that was the 349 00:17:11,840 --> 00:17:12,600 Speaker 1: big challenge. 350 00:17:12,880 --> 00:17:14,320 Speaker 3: Jeffrey, thank you so much. 351 00:17:14,359 --> 00:17:16,120 Speaker 2: Don't be a stranger way out on the west coast 352 00:17:16,160 --> 00:17:19,119 Speaker 2: out of Claremont and all his work with Peyton and Rigel. 353 00:17:19,200 --> 00:17:27,840 Speaker 2: Jeffrey Cleveland with us this morning. Commercial real estate isn't 354 00:17:27,880 --> 00:17:31,000 Speaker 2: part of the buoyancy right now. And instead of talking, 355 00:17:31,080 --> 00:17:32,960 Speaker 2: you know, we could talk sell side by this stock 356 00:17:33,040 --> 00:17:36,200 Speaker 2: sell that. How about talking to somebody with a heritage 357 00:17:36,200 --> 00:17:38,919 Speaker 2: Back to Grubb and Ellis and he's with Marcus and 358 00:17:38,920 --> 00:17:41,440 Speaker 2: Miltchep in the trenches of this is somethime. Geez joins 359 00:17:41,520 --> 00:17:44,840 Speaker 2: us right now with twenty six years of like in 360 00:17:44,880 --> 00:17:47,960 Speaker 2: the trenches work. I love that on Twitter. Whether it's 361 00:17:47,960 --> 00:17:49,919 Speaker 2: an ex JP Morgan guy, I don't have them in 362 00:17:49,920 --> 00:17:54,080 Speaker 2: front of me. And it'll take a certain property. It's suburban, 363 00:17:54,440 --> 00:17:58,000 Speaker 2: it's nineteen eighties. Either they're given the keys back to 364 00:17:58,080 --> 00:18:01,320 Speaker 2: the bank or the selling it for an eighty six 365 00:18:01,400 --> 00:18:06,520 Speaker 2: percent discount. How bad is it out there in nineteen eighties? 366 00:18:06,800 --> 00:18:10,560 Speaker 2: Ugly suburban office buildings that we work used to be in, 367 00:18:10,640 --> 00:18:11,120 Speaker 2: but they're. 368 00:18:10,960 --> 00:18:11,880 Speaker 3: Not in them anymore. 369 00:18:12,440 --> 00:18:14,600 Speaker 6: Good morning, Great to be with you on the program. 370 00:18:14,720 --> 00:18:18,760 Speaker 6: There are instances of those pretty terrible occurrences that we're 371 00:18:19,000 --> 00:18:22,919 Speaker 6: tracking and witnessing all over the country, mostly in urban areas, 372 00:18:23,160 --> 00:18:26,880 Speaker 6: less so in suburban areas, and very limited to exactly 373 00:18:26,880 --> 00:18:30,719 Speaker 6: what you said. Older product that's obsolete, that hasn't been 374 00:18:30,800 --> 00:18:34,639 Speaker 6: kept up, didn't have capital improvements, especially in suburban markets 375 00:18:34,680 --> 00:18:39,120 Speaker 6: where migration has benefited office usage. Look at Florida, for example, 376 00:18:39,800 --> 00:18:42,080 Speaker 6: the office market there is doing far better than many 377 00:18:42,080 --> 00:18:42,679 Speaker 6: other markets. 378 00:18:42,720 --> 00:18:44,120 Speaker 3: What happens to that building? 379 00:18:44,640 --> 00:18:47,200 Speaker 2: If this was in Quincy, Mass outside one twenty eight 380 00:18:47,640 --> 00:18:49,640 Speaker 2: too far from Famway Park for me to live there, 381 00:18:49,680 --> 00:18:54,560 Speaker 2: But there's Quincy Mass typical building belly up the person 382 00:18:54,600 --> 00:18:57,120 Speaker 2: that bought that for twenty dollars per square foot or whatever, 383 00:18:57,840 --> 00:18:59,440 Speaker 2: what are they going to do with that property? 384 00:18:59,560 --> 00:19:00,760 Speaker 3: Mostly reuse. 385 00:19:00,840 --> 00:19:04,360 Speaker 6: Office is very difficult to reimagine and reuse. We saw 386 00:19:04,480 --> 00:19:08,240 Speaker 6: retail go through a significant degree of reuse and reimagination 387 00:19:08,320 --> 00:19:11,320 Speaker 6: of obsolete shopping centers over the last fifteen twenty years. 388 00:19:11,560 --> 00:19:13,760 Speaker 6: Much easier to do than office buildings, which has a 389 00:19:13,840 --> 00:19:16,800 Speaker 6: cost of conversion to other uses and cost of modifications 390 00:19:16,880 --> 00:19:19,800 Speaker 6: is a lot higher. But there are entrepreneurial and private 391 00:19:19,800 --> 00:19:22,480 Speaker 6: investors out there with a lot of capital on the side, yes, 392 00:19:22,720 --> 00:19:28,280 Speaker 6: that are converting these distressed situations to really interesting investment 393 00:19:28,320 --> 00:19:32,320 Speaker 6: opportunities over the long haul. One really important factor commercial 394 00:19:32,359 --> 00:19:35,239 Speaker 6: real estate is being judged as a book by the 395 00:19:35,280 --> 00:19:38,639 Speaker 6: cover of that example that you just talked about, And 396 00:19:38,720 --> 00:19:43,320 Speaker 6: the generalization is really harmful because apartment fundamentals are fine. 397 00:19:43,400 --> 00:19:46,399 Speaker 6: They're soft, but they're fine. Retail is coming back strong. 398 00:19:47,000 --> 00:19:51,200 Speaker 6: Niches like self storage, hospitality, they're all doing very very well. 399 00:19:51,280 --> 00:19:53,600 Speaker 6: Industrial warehouses still doing very well. 400 00:19:53,680 --> 00:19:56,520 Speaker 3: Little bit of how he did that. He said, basically, Tom, 401 00:19:56,560 --> 00:19:57,040 Speaker 3: you don't. 402 00:19:56,840 --> 00:19:59,919 Speaker 5: Know what you're talking about, touch and go, but I do. 403 00:20:00,000 --> 00:20:02,520 Speaker 4: I want to go back to that thought on conversion, 404 00:20:02,560 --> 00:20:04,480 Speaker 4: because how many you must hear that all the time. 405 00:20:04,520 --> 00:20:07,119 Speaker 4: Why don't we just take all this unused office space 406 00:20:07,240 --> 00:20:10,000 Speaker 4: converted into residential Like you said, I mean the cost 407 00:20:10,040 --> 00:20:12,960 Speaker 4: to do that is very high. But elaborate a little 408 00:20:12,960 --> 00:20:15,760 Speaker 4: bit more on that. There are some people who are trying. 409 00:20:15,520 --> 00:20:15,959 Speaker 5: To do that. 410 00:20:16,560 --> 00:20:20,639 Speaker 6: There are and there's examples that work out. If the 411 00:20:20,720 --> 00:20:25,320 Speaker 6: basis of acquiring the distressed office really justifies the amount 412 00:20:25,359 --> 00:20:28,080 Speaker 6: of costs that there is, we're seeing other uses start 413 00:20:28,119 --> 00:20:31,040 Speaker 6: to pop up. It's interesting how versatile the market is. 414 00:20:31,600 --> 00:20:36,720 Speaker 6: You have like data banks, you have outsourced call centers 415 00:20:37,280 --> 00:20:40,159 Speaker 6: that are now able to get housed in some of 416 00:20:40,200 --> 00:20:45,480 Speaker 6: this obsolete or older or highly distressed office properties that 417 00:20:45,560 --> 00:20:47,680 Speaker 6: weren't even on the radar three or four years ago 418 00:20:47,760 --> 00:20:51,520 Speaker 6: or before the pandemic. And the one thing that it's 419 00:20:51,520 --> 00:20:56,080 Speaker 6: also important to communicate the perception is that this threat 420 00:20:56,440 --> 00:20:59,119 Speaker 6: of what's happening with office use may bring down the 421 00:20:59,200 --> 00:21:02,080 Speaker 6: entire banking system or may become a contagion for commercial 422 00:21:02,119 --> 00:21:05,840 Speaker 6: real estate loans. The banking system has a three and 423 00:21:05,880 --> 00:21:09,159 Speaker 6: a half percent total exposure to office loans as a 424 00:21:09,200 --> 00:21:12,800 Speaker 6: percent of all loans outstanding, so and half of office 425 00:21:12,800 --> 00:21:15,800 Speaker 6: space is performing just fine. The newer suburban product. The 426 00:21:15,840 --> 00:21:19,920 Speaker 6: newer urban product as a ten to twelve percent vacancy rate. 427 00:21:20,240 --> 00:21:24,280 Speaker 6: It's the older, obsolete urban market that's seeing vacancies of 428 00:21:24,280 --> 00:21:25,640 Speaker 6: twenty five percent or higher. 429 00:21:25,720 --> 00:21:27,720 Speaker 4: Well, focusing on the urban core, I want to talk 430 00:21:27,720 --> 00:21:30,160 Speaker 4: about the path that even got us to this conversation, 431 00:21:30,240 --> 00:21:32,800 Speaker 4: because the typical narrative is that you look at the pandemic, 432 00:21:32,880 --> 00:21:36,159 Speaker 4: this shift to hybrid work that really killed off a 433 00:21:36,200 --> 00:21:37,800 Speaker 4: lot of what you're seeing in the urban core. But 434 00:21:37,840 --> 00:21:41,360 Speaker 4: you make the point in your notes that office demand, 435 00:21:41,440 --> 00:21:44,680 Speaker 4: actually it was deteriorating before the pandemic even started. 436 00:21:44,720 --> 00:21:45,320 Speaker 3: That's true. 437 00:21:45,400 --> 00:21:47,280 Speaker 6: That's wild. That is true. That has a lot to 438 00:21:47,320 --> 00:21:52,479 Speaker 6: do with the fact that millennials were entering marriage age 439 00:21:52,920 --> 00:21:57,440 Speaker 6: or those that have had already been in that category, 440 00:21:57,960 --> 00:22:00,280 Speaker 6: or moving to suburbs to buy their first homes, and 441 00:22:00,320 --> 00:22:03,640 Speaker 6: they were tired of being in the urban core. After 442 00:22:03,720 --> 00:22:07,600 Speaker 6: ten years of a demographic boom that really benefited urban America, 443 00:22:08,080 --> 00:22:11,440 Speaker 6: that shift with millennials aging and moving to suburbs that 444 00:22:11,480 --> 00:22:12,400 Speaker 6: had already started to show. 445 00:22:12,480 --> 00:22:15,080 Speaker 2: You notice how no one ever talks about They talk 446 00:22:15,119 --> 00:22:16,280 Speaker 2: about the marriage age. 447 00:22:16,400 --> 00:22:19,280 Speaker 3: Yeah, nobody ever talks about the divorce age. That's where 448 00:22:19,280 --> 00:22:22,040 Speaker 3: you're moving from the suburbs to wherever. I don't know 449 00:22:22,040 --> 00:22:22,679 Speaker 3: why I brought that. 450 00:22:22,800 --> 00:22:25,720 Speaker 2: Probably I want this is brilliant. I was with a 451 00:22:25,760 --> 00:22:27,920 Speaker 2: real estate heavyweight last night. I think he owns half 452 00:22:27,960 --> 00:22:31,080 Speaker 2: the Upper West Side, and I said to him, and 453 00:22:31,119 --> 00:22:32,879 Speaker 2: I think the media has really got this wrong. 454 00:22:33,240 --> 00:22:36,840 Speaker 3: The magic of your business is there is a loss taken. 455 00:22:37,040 --> 00:22:37,720 Speaker 3: I get that. 456 00:22:38,800 --> 00:22:41,439 Speaker 2: But after a seven year old or whatever, when the 457 00:22:41,520 --> 00:22:46,399 Speaker 2: loss is taken, the market clears and we move on. 458 00:22:47,040 --> 00:22:50,240 Speaker 3: I don't think that's talked about enough. Correct expand on that. 459 00:22:50,240 --> 00:22:53,199 Speaker 6: That's the benefit of owning commercial real estate for the 460 00:22:53,280 --> 00:22:56,199 Speaker 6: long term. And if you don't get over your skis 461 00:22:56,240 --> 00:23:00,240 Speaker 6: by taking on too much leverage, there is very fewsiness 462 00:23:00,280 --> 00:23:01,959 Speaker 6: is where you can't ride out a downturn. 463 00:23:02,040 --> 00:23:03,560 Speaker 2: You write it out and you wait, and then you 464 00:23:03,720 --> 00:23:06,399 Speaker 2: find it a twenty cents on the dollar. Are people 465 00:23:06,440 --> 00:23:08,800 Speaker 2: really My answer is foreign money is going to come 466 00:23:08,840 --> 00:23:11,119 Speaker 2: in at fifty cents of the dollar. Where you know, 467 00:23:11,280 --> 00:23:13,520 Speaker 2: basically this goes back to your hair. Did you grub 468 00:23:13,560 --> 00:23:15,000 Speaker 2: an ellis? Where's your number on that? 469 00:23:15,240 --> 00:23:18,159 Speaker 6: Well, again, on a very selective basis, this is not 470 00:23:18,200 --> 00:23:23,520 Speaker 6: a repeat of the early nineties RTC and mass scaled 471 00:23:24,040 --> 00:23:27,720 Speaker 6: discounting of commercial real estate in a fire sale, which 472 00:23:27,760 --> 00:23:30,600 Speaker 6: is what the RTC was. Well, you're talking about as 473 00:23:30,760 --> 00:23:34,159 Speaker 6: much more select situations for the most part, limited to 474 00:23:34,200 --> 00:23:38,080 Speaker 6: office space, maybe some absolutely chopping centers, and so the 475 00:23:38,119 --> 00:23:41,560 Speaker 6: twenty cents on the dollar kind of a theme is 476 00:23:41,560 --> 00:23:45,560 Speaker 6: not the overriding outlook for this market. Like I said, 477 00:23:45,680 --> 00:23:48,199 Speaker 6: many other product types are doing just fine. They're not 478 00:23:48,240 --> 00:23:50,080 Speaker 6: even close to being in a distress. 479 00:23:50,240 --> 00:23:51,480 Speaker 3: This has been a huge value. 480 00:23:51,560 --> 00:23:54,639 Speaker 2: In a live chat on Twitter's on our YouTube is 481 00:23:54,680 --> 00:23:57,399 Speaker 2: lit up, i said, thank you so much, don't be 482 00:23:57,400 --> 00:23:58,200 Speaker 2: a stranger. 483 00:23:57,840 --> 00:23:59,480 Speaker 6: Please caet out my pleasure for great to be with you, 484 00:23:59,560 --> 00:24:00,040 Speaker 6: And there's. 485 00:24:00,160 --> 00:24:01,240 Speaker 3: Clear talking there. 486 00:24:01,240 --> 00:24:15,560 Speaker 2: On CIRE commercial at real estate, we like to have 487 00:24:15,680 --> 00:24:18,960 Speaker 2: the newspapers with us here. Come on at Lisa Safety, 488 00:24:19,320 --> 00:24:21,320 Speaker 2: what are our boring you or me? And New York 489 00:24:21,359 --> 00:24:22,399 Speaker 2: newspapers look like? 490 00:24:22,720 --> 00:24:24,679 Speaker 7: All right, so we're starting with the Wall Street Journal. 491 00:24:25,200 --> 00:24:27,679 Speaker 7: This is an exclusive. It's really in depth, so I'm 492 00:24:27,720 --> 00:24:29,320 Speaker 7: gonna try and get to the nuts and bolts of 493 00:24:29,359 --> 00:24:30,840 Speaker 7: it as best I can. But it says a lot 494 00:24:30,920 --> 00:24:34,200 Speaker 7: of women leaving Goldman sacks because they're not getting those 495 00:24:34,240 --> 00:24:37,639 Speaker 7: big positions at the company. So the executives decided that 496 00:24:37,680 --> 00:24:39,679 Speaker 7: in order to run groups in the market's division, so 497 00:24:39,680 --> 00:24:42,000 Speaker 7: we'll start there, they would need to have certain experience. 498 00:24:42,119 --> 00:24:45,320 Speaker 7: Now women didn't have certain that amount of that experience. 499 00:24:45,400 --> 00:24:48,000 Speaker 7: Men were affected too, but bigger impact on women, so 500 00:24:48,119 --> 00:24:50,080 Speaker 7: a lot of them left. Then you have the asset 501 00:24:50,200 --> 00:24:53,160 Speaker 7: management side of it. They had changes that were overseen 502 00:24:53,200 --> 00:24:56,560 Speaker 7: by David Solomon. They created new leadership jobs and men 503 00:24:56,640 --> 00:25:00,639 Speaker 7: were chosen to fill those positions, some cases passing over women. 504 00:25:00,880 --> 00:25:04,440 Speaker 7: So this all comes down to Monday, David Solomon plans 505 00:25:04,480 --> 00:25:07,600 Speaker 7: to host several women partners for dinner at his Manhattan apartment. 506 00:25:07,720 --> 00:25:10,560 Speaker 7: They're going to face questions about why it hasn't happened, 507 00:25:10,560 --> 00:25:12,840 Speaker 7: why women haven't advanced over at the company. So this 508 00:25:12,880 --> 00:25:15,280 Speaker 7: has been an ongoing issue. I mean Solomon became president, 509 00:25:15,359 --> 00:25:18,399 Speaker 7: when he became CEO, he made promoting women to senior 510 00:25:18,480 --> 00:25:20,719 Speaker 7: levels like a firm, This was going to be a 511 00:25:20,760 --> 00:25:23,119 Speaker 7: priority over at the firm. And so these women are 512 00:25:23,119 --> 00:25:25,320 Speaker 7: saying it's not happening. So what's going to be. 513 00:25:25,240 --> 00:25:26,680 Speaker 3: Done, Katie, What do you think? 514 00:25:26,920 --> 00:25:30,040 Speaker 4: I mean you think about reporting from her own Shri Natarajan, 515 00:25:30,080 --> 00:25:33,199 Speaker 4: he broke the news last month that Beth Hammock. She 516 00:25:33,320 --> 00:25:36,280 Speaker 4: was one of the most likely women seen likely to 517 00:25:36,320 --> 00:25:39,560 Speaker 4: break into the top tier at Goldmen Sack. She's leaving 518 00:25:39,920 --> 00:25:44,280 Speaker 4: after thirty years. Of course, the details of that departure unknown, 519 00:25:44,320 --> 00:25:46,359 Speaker 4: but it sort of fits into the broader theme that 520 00:25:46,680 --> 00:25:48,200 Speaker 4: the Wall Street Journal is covering here. 521 00:25:48,280 --> 00:25:52,840 Speaker 2: It's really really to me a long term cultural issue, 522 00:25:53,240 --> 00:25:55,199 Speaker 2: which is a sensitive issue. I'm going to say good 523 00:25:55,240 --> 00:26:00,479 Speaker 2: morning in New Jersey to the Camden Water Company, Camden, 524 00:26:00,520 --> 00:26:03,159 Speaker 2: New Jersey. I think it's an American water park. I 525 00:26:03,160 --> 00:26:05,119 Speaker 2: don't have the name in front of me. Who have 526 00:26:05,400 --> 00:26:10,480 Speaker 2: aggressively done what people are talking about. They really have 527 00:26:10,560 --> 00:26:15,520 Speaker 2: a balance board with women in management, and it's got 528 00:26:15,560 --> 00:26:17,760 Speaker 2: to be a cultural decision, doesn't matter if it's Golden 529 00:26:17,800 --> 00:26:19,240 Speaker 2: Sacks or anybody else. 530 00:26:19,240 --> 00:26:20,840 Speaker 3: It's great reporting for the Wallster Journal. 531 00:26:20,880 --> 00:26:23,359 Speaker 2: As you mentioned shrine Otto Roger on the watch at 532 00:26:23,359 --> 00:26:24,200 Speaker 2: Bloomberg News. 533 00:26:24,200 --> 00:26:24,879 Speaker 3: What else do you have? 534 00:26:25,200 --> 00:26:27,840 Speaker 7: Sure we're talking about Gerald Levin, This was all over 535 00:26:27,880 --> 00:26:29,879 Speaker 7: the news. He was behind the nineteen ninety merger of 536 00:26:29,880 --> 00:26:33,840 Speaker 7: Time Warner Communications. He passed away Wednesday, was diagnosed with 537 00:26:33,840 --> 00:26:36,920 Speaker 7: Parkinson's disease. But he was known for so many things. 538 00:26:36,920 --> 00:26:39,960 Speaker 7: He oversaw the purchase of Turner Broadcasting in nineteen ninety six. 539 00:26:40,119 --> 00:26:43,679 Speaker 7: Also remembered though for that disastrous decision selling Time Warner 540 00:26:43,720 --> 00:26:46,800 Speaker 7: to upstart America Online at the peak of that Internet bubble. 541 00:26:47,560 --> 00:26:50,280 Speaker 7: But he left AOL Time winner twenty two thousand and 542 00:26:50,280 --> 00:26:53,400 Speaker 7: two after the company posted those big losses, and he 543 00:26:53,480 --> 00:26:54,600 Speaker 7: was eighty four years old. 544 00:26:54,720 --> 00:26:57,880 Speaker 2: I had the clearest memories of four ninety nine park 545 00:26:58,200 --> 00:27:01,720 Speaker 2: In talking to Steve case that more and the clearest memories, 546 00:27:02,480 --> 00:27:06,560 Speaker 2: and we couldn't figure the transaction out with that said, 547 00:27:06,720 --> 00:27:11,280 Speaker 2: mister Levin was hugely philanthropic, and Katie, you can give 548 00:27:11,320 --> 00:27:13,960 Speaker 2: some perspective here. This is a guy that followed the 549 00:27:14,000 --> 00:27:16,440 Speaker 2: Greyfeld footsteps out of Haverford College. 550 00:27:16,520 --> 00:27:20,560 Speaker 4: He graduated in nineteen sixty from Haverford College. He had 551 00:27:20,600 --> 00:27:23,320 Speaker 4: a degree in philosophy in Haverford. 552 00:27:22,960 --> 00:27:25,520 Speaker 3: Which is their heavyweight degree. Yeah, that's like why you 553 00:27:25,640 --> 00:27:26,639 Speaker 3: go to haverdid. 554 00:27:26,320 --> 00:27:30,080 Speaker 4: Yeah, I've full disclosure. I went to Haverford. Yeah, yeah, 555 00:27:30,240 --> 00:27:32,879 Speaker 4: Well just for the audience. Maybe they don't know, but 556 00:27:33,800 --> 00:27:38,040 Speaker 4: Haveverford Obviously it's a Quaker founded school and those roots 557 00:27:38,119 --> 00:27:40,480 Speaker 4: run really deep at Haverford even today. I mean I 558 00:27:40,560 --> 00:27:44,040 Speaker 4: graduated in twenty fifteen and that was you know still 559 00:27:44,040 --> 00:27:45,800 Speaker 4: the guiding principal of the schools. 560 00:27:45,960 --> 00:27:50,040 Speaker 3: So freaking old, No, Lisa, please. 561 00:27:50,520 --> 00:27:54,199 Speaker 4: It was like ten years ago almost, and I've been 562 00:27:54,240 --> 00:27:55,320 Speaker 4: at Bloomberg ever since. 563 00:27:55,440 --> 00:28:01,040 Speaker 3: Okay, she can't come back tomorrow, right, cancel. 564 00:28:03,040 --> 00:28:05,560 Speaker 7: We're talking about people who want to go to Showeo 565 00:28:05,640 --> 00:28:09,240 Speaker 7: Tani's debut with the Dodgers in Soul next week. It's 566 00:28:09,240 --> 00:28:11,720 Speaker 7: gonna cost you. It's gonna cost you more than three 567 00:28:11,760 --> 00:28:16,600 Speaker 7: thousand dollars, five times the face value. That's because you 568 00:28:16,640 --> 00:28:19,920 Speaker 7: have the secondary market. You have ticket based scalpers. Here's 569 00:28:19,920 --> 00:28:23,240 Speaker 7: the thing, though, Those scalpers say that they'll accompany buyers 570 00:28:23,280 --> 00:28:25,560 Speaker 7: to get them into the game, So you actually go 571 00:28:25,640 --> 00:28:27,960 Speaker 7: with the scalper into the game. I don't know if 572 00:28:28,000 --> 00:28:29,920 Speaker 7: they'll buy you a drink there while you're at the game, 573 00:28:30,000 --> 00:28:32,359 Speaker 7: but apparently they're gonna go with you while you're the 574 00:28:33,480 --> 00:28:35,760 Speaker 7: This is his debut with the Dodgers sold next week 575 00:28:35,760 --> 00:28:36,840 Speaker 7: because it's like a six games here. 576 00:28:36,960 --> 00:28:39,920 Speaker 3: Oh, the Pacific Room Dodgers. Yeah, this is San Diego 577 00:28:40,000 --> 00:28:41,160 Speaker 3: in La going. 578 00:28:40,960 --> 00:28:43,600 Speaker 5: Over to Korea, right, yes, correct. 579 00:28:43,280 --> 00:28:46,080 Speaker 2: And they're gonna do career Japan whatever. I call them 580 00:28:46,120 --> 00:28:49,360 Speaker 2: the Pacific Room Dodgers because the amount of money they're 581 00:28:49,400 --> 00:28:52,800 Speaker 2: throwing around. You can only make that back off of 582 00:28:53,120 --> 00:28:54,440 Speaker 2: massive Asian interest. 583 00:28:54,880 --> 00:28:57,160 Speaker 4: I mean three thousand dollars a ticket. That's like Taylor 584 00:28:57,280 --> 00:28:57,960 Speaker 4: Swift level. 585 00:28:58,000 --> 00:28:59,920 Speaker 5: That's true. 586 00:29:00,160 --> 00:29:02,760 Speaker 2: No, it's it's huge and a major shot at the 587 00:29:02,800 --> 00:29:05,680 Speaker 2: baseball I've seen some of the San Diego Padre Prix 588 00:29:05,760 --> 00:29:08,360 Speaker 2: on this and you know they're excited to go and yeah, 589 00:29:08,400 --> 00:29:11,240 Speaker 2: it reached true. I remember the first time I saw 590 00:29:11,440 --> 00:29:13,000 Speaker 2: NFL football in London. 591 00:29:13,400 --> 00:29:15,360 Speaker 3: I was in what a shock. I was in a 592 00:29:15,400 --> 00:29:19,640 Speaker 3: bar by the Tower of London, even bigger shock and 593 00:29:20,440 --> 00:29:21,600 Speaker 3: they were really captivated. 594 00:29:21,640 --> 00:29:25,160 Speaker 2: I mean London really cared in that bar about NFL football. 595 00:29:25,240 --> 00:29:26,640 Speaker 3: I think it's going to be the same over there. 596 00:29:26,680 --> 00:29:27,360 Speaker 3: It's a huge deal. 597 00:29:27,480 --> 00:29:28,840 Speaker 7: What was your bevers of choice? 598 00:29:28,920 --> 00:29:32,080 Speaker 3: I have no recollection. There was some grog from the 599 00:29:32,120 --> 00:29:34,440 Speaker 3: sixteenth century. Are you donner? Do you have one more? 600 00:29:35,120 --> 00:29:37,640 Speaker 7: One more quickly? We heard about this yesterday to Elon 601 00:29:37,720 --> 00:29:41,320 Speaker 7: Musk canceling CNN veteran Don Lemon show just days before 602 00:29:41,360 --> 00:29:43,560 Speaker 7: it was supposed to go on X. There's been this 603 00:29:43,680 --> 00:29:46,120 Speaker 7: back and forth on X. You know. Lemon said there 604 00:29:46,120 --> 00:29:48,440 Speaker 7: will be additional episodes of the series that will appear 605 00:29:48,440 --> 00:29:51,880 Speaker 7: on YouTube, podcast channels and X but Elon Mus said 606 00:29:51,880 --> 00:29:55,320 Speaker 7: the show's approach was basically just CNN but on social media, 607 00:29:55,440 --> 00:29:57,479 Speaker 7: and he said that doesn't work. That's the reason why 608 00:29:57,560 --> 00:29:58,000 Speaker 7: he canceled. 609 00:29:58,040 --> 00:29:59,400 Speaker 3: Lisa Matereo, thank you so much. 610 00:29:59,480 --> 00:30:02,600 Speaker 2: This is a Blueoomberg surveillance podcast, bringing you the best 611 00:30:02,680 --> 00:30:07,440 Speaker 2: in economics, finance, investment, and international relations. You can also 612 00:30:07,520 --> 00:30:11,560 Speaker 2: watch the show live on YouTube. Visit the Bloomberg Podcast 613 00:30:11,680 --> 00:30:15,720 Speaker 2: channel on YouTube to see the show weekday mornings from 614 00:30:15,760 --> 00:30:19,000 Speaker 2: seven to ten am Eastern from our global headquarters in 615 00:30:19,080 --> 00:30:22,800 Speaker 2: New York City. Subscribe to the podcast on Apple, Spotify, 616 00:30:23,120 --> 00:30:26,680 Speaker 2: or anywhere else you listen, and always on Bloomberg Radio, 617 00:30:26,880 --> 00:30:30,080 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business app.