1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,240 --> 00:00:12,120 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 3 00:00:12,200 --> 00:00:15,280 Speaker 2: weekdays at ten am Eastern on Affo card playing Android 4 00:00:15,320 --> 00:00:18,360 Speaker 2: Auto with the Bloomberg Business App. Listen on demand wherever 5 00:00:18,480 --> 00:00:21,640 Speaker 2: you get your podcasts, or watch us live on YouTube. 6 00:00:22,800 --> 00:00:24,400 Speaker 3: All right, we got some breaking news for you. 7 00:00:24,840 --> 00:00:28,560 Speaker 4: TikTok is officially facing a ban in the United States. 8 00:00:28,640 --> 00:00:32,519 Speaker 4: This comes after the appeals Court refuses to block the 9 00:00:32,760 --> 00:00:36,120 Speaker 4: law that would ban TikTok. Now, the whole idea is 10 00:00:36,200 --> 00:00:38,760 Speaker 4: to force a sale of TikTok here in the US 11 00:00:38,880 --> 00:00:42,720 Speaker 4: from Byteedance to an owner in the United States. Whether 12 00:00:42,800 --> 00:00:45,240 Speaker 4: or not that happens is definitely a big question mark. 13 00:00:45,360 --> 00:00:48,120 Speaker 4: Lots of question marks around this. First of all, will 14 00:00:48,280 --> 00:00:52,760 Speaker 4: Trump stand by this or will he oppose the band 15 00:00:53,040 --> 00:00:56,279 Speaker 4: and then complicate its enforcement if it was to spin off, 16 00:00:56,320 --> 00:00:57,320 Speaker 4: and if someone were. 17 00:00:57,240 --> 00:00:59,200 Speaker 3: To buy it, who would that be? What would the 18 00:00:59,280 --> 00:00:59,880 Speaker 3: numbers look like? 19 00:01:00,200 --> 00:01:01,720 Speaker 4: But either way, you take a look at Google and 20 00:01:01,800 --> 00:01:04,880 Speaker 4: Meta Meta arguably one of the competitors, right because they 21 00:01:04,880 --> 00:01:08,360 Speaker 4: have Instagram that stopped up over two percent on that headline. 22 00:01:08,400 --> 00:01:10,880 Speaker 5: Paul, Yeah, this is this is big news in the 23 00:01:10,920 --> 00:01:14,679 Speaker 5: world of you know, social media digital advertising a metagain 24 00:01:14,800 --> 00:01:17,640 Speaker 5: up two point two percent today, fifty two week high. 25 00:01:18,440 --> 00:01:23,880 Speaker 5: But boy, TikTok has become so big so quickly in 26 00:01:24,040 --> 00:01:26,640 Speaker 5: terms of number of users, their total audience, and the 27 00:01:26,800 --> 00:01:29,840 Speaker 5: advertising they generate and the retail e commerce at that 28 00:01:29,920 --> 00:01:34,400 Speaker 5: they generate just a handful of years becomes absolutely huge. 29 00:01:34,760 --> 00:01:36,680 Speaker 5: Now what did they do? Now? What does Byte Dance 30 00:01:36,760 --> 00:01:41,520 Speaker 5: do the owner again, the Chinese owner of TikTok, And 31 00:01:42,000 --> 00:01:44,400 Speaker 5: again what does President elect Trump do? As you were 32 00:01:45,000 --> 00:01:49,520 Speaker 5: talking about earlier, I'm not sure really his real position 33 00:01:49,600 --> 00:01:49,760 Speaker 5: on this. 34 00:01:50,120 --> 00:01:52,520 Speaker 4: So just for some background here, the law was signed 35 00:01:52,960 --> 00:01:55,680 Speaker 4: back in April. It did have bipartisan support, and it 36 00:01:55,840 --> 00:01:59,000 Speaker 4: was to force a divestiture from Byte Dance of TikTok 37 00:01:59,080 --> 00:02:02,040 Speaker 4: here in the US. Now, then, of course there were 38 00:02:02,080 --> 00:02:05,120 Speaker 4: lots of lawsuits et cetera. Now, leading American investors like 39 00:02:05,200 --> 00:02:09,519 Speaker 4: Sequoia Capital, General Atlantic, and Susquehanna own significant stake in 40 00:02:09,680 --> 00:02:14,320 Speaker 4: TikTok parent company By Dance, and that's collectively worth billions 41 00:02:14,320 --> 00:02:16,919 Speaker 4: of dollars. So that also then complicates the issue with 42 00:02:17,080 --> 00:02:20,200 Speaker 4: President Trump elect in office as well. Now, By Dance 43 00:02:20,400 --> 00:02:22,880 Speaker 4: was trying to get it overturned, saying the banning the 44 00:02:22,960 --> 00:02:27,880 Speaker 4: app is unconstitutional. So let's get more here with Matthew Shettenhelm. 45 00:02:27,960 --> 00:02:30,320 Speaker 4: He covers this for he's a media litigation analyst for 46 00:02:30,400 --> 00:02:31,560 Speaker 4: Bloomberg Intelligence. 47 00:02:31,600 --> 00:02:32,639 Speaker 3: All right, are you surprised? 48 00:02:34,000 --> 00:02:37,080 Speaker 6: I am not surprised. This is what we expected coming 49 00:02:37,160 --> 00:02:39,960 Speaker 6: out of the September oral argument. It was a tough 50 00:02:40,040 --> 00:02:42,959 Speaker 6: hearing for TikTok. What we haven't seen yet and it 51 00:02:43,120 --> 00:02:45,040 Speaker 6: just popped up on the dock. It is the opinion, 52 00:02:45,160 --> 00:02:48,399 Speaker 6: the reasoning from the court, and it looks like there's 53 00:02:48,440 --> 00:02:51,200 Speaker 6: a concurring opinion from at least one judge. But I 54 00:02:51,240 --> 00:02:53,280 Speaker 6: haven't been able to read the decision yet. But this, 55 00:02:53,600 --> 00:02:57,520 Speaker 6: this looks like a loss for TikTok. That's what we expected, 56 00:02:57,680 --> 00:02:59,840 Speaker 6: and that means that if it wants to stop this 57 00:03:00,080 --> 00:03:06,040 Speaker 6: spain before January nineteenth, it's only realistic option I think 58 00:03:06,440 --> 00:03:08,840 Speaker 6: is probably going to be to go to the Supreme 59 00:03:08,919 --> 00:03:11,120 Speaker 6: Court now and try to ask the justices at the 60 00:03:11,160 --> 00:03:13,919 Speaker 6: Supreme Court to hit pause on that January nineteenth date. 61 00:03:14,240 --> 00:03:18,120 Speaker 5: And what typically would how would the Supreme Court respond 62 00:03:18,160 --> 00:03:20,239 Speaker 5: to that type of request hit typically given what this 63 00:03:20,480 --> 00:03:20,920 Speaker 5: ruling here. 64 00:03:22,040 --> 00:03:24,799 Speaker 6: Yeah, so I mean it's you know, you go on 65 00:03:25,160 --> 00:03:27,560 Speaker 6: what's known as the shadow docket at the Supreme Court 66 00:03:28,080 --> 00:03:31,679 Speaker 6: where the court it looks at emergency relief. And the 67 00:03:32,000 --> 00:03:34,440 Speaker 6: thing is it's hard to get that. You usually need 68 00:03:34,560 --> 00:03:38,840 Speaker 6: five justices to vote in support of it. And so 69 00:03:39,320 --> 00:03:41,520 Speaker 6: there's a risk and again, I want to read this decision, 70 00:03:42,080 --> 00:03:44,880 Speaker 6: but there's a risk I think for TikTok, that the 71 00:03:45,120 --> 00:03:47,920 Speaker 6: justices say, look, you know, the DC Circuit got it right, 72 00:03:48,200 --> 00:03:50,240 Speaker 6: We don't really need to get in the way of this. 73 00:03:50,400 --> 00:03:52,960 Speaker 6: On the other hand, this is potentially a major First 74 00:03:53,000 --> 00:03:56,600 Speaker 6: Amendment question, and maybe the justices say, look, this is 75 00:03:56,680 --> 00:03:59,680 Speaker 6: so important, let's hit pause on that January nineteenth date. 76 00:04:00,040 --> 00:04:02,560 Speaker 6: We can take it up and then they'd probably decide 77 00:04:02,560 --> 00:04:05,800 Speaker 6: it by June of this year if they're so inclined. 78 00:04:06,320 --> 00:04:10,280 Speaker 4: Okay, so let's pretend that we move forward to January nineteenth, right, 79 00:04:10,360 --> 00:04:13,440 Speaker 4: and that's the date where it would be banned. So 80 00:04:13,800 --> 00:04:16,440 Speaker 4: if my kids on TikTok, which she's not like does, 81 00:04:16,520 --> 00:04:18,920 Speaker 4: she automatically can't get on it. But if she goes 82 00:04:18,960 --> 00:04:21,520 Speaker 4: to like Mexico, she can access TikTok. Like, is that 83 00:04:21,560 --> 00:04:22,160 Speaker 4: what I'm looking at? 84 00:04:22,960 --> 00:04:23,159 Speaker 2: Yeah? 85 00:04:23,279 --> 00:04:26,400 Speaker 6: So yeah, on January nineteenth. The way the law works 86 00:04:26,480 --> 00:04:29,760 Speaker 6: is it doesn't strip it off of everyone's phones on 87 00:04:29,880 --> 00:04:31,920 Speaker 6: that date. The way the law works, it says that 88 00:04:32,560 --> 00:04:35,680 Speaker 6: as of that date, any company that carries the app 89 00:04:35,800 --> 00:04:40,400 Speaker 6: in its app store or that carries TikTok on servers 90 00:04:40,480 --> 00:04:44,640 Speaker 6: in a way that allows the app to update no 91 00:04:44,800 --> 00:04:46,760 Speaker 6: longer can do so. If they do so, they're at 92 00:04:46,800 --> 00:04:50,400 Speaker 6: the risk of gigantic penalties. It's something like five thousand 93 00:04:50,480 --> 00:04:56,520 Speaker 6: dollars per user. And so if the DJ is willing 94 00:04:56,560 --> 00:04:58,640 Speaker 6: to enforce it, which is going to be another question, 95 00:04:58,839 --> 00:05:03,000 Speaker 6: President Trump, you know, potentially could tell his DJ, look, 96 00:05:03,080 --> 00:05:05,560 Speaker 6: don't worry about enforcing that law. But if you're a 97 00:05:05,680 --> 00:05:08,200 Speaker 6: company that carries TikTok in your app store, are you 98 00:05:08,320 --> 00:05:11,080 Speaker 6: going to take a chance that President Trump is not 99 00:05:11,240 --> 00:05:14,599 Speaker 6: going to enforce something that could reach billions of dollars 100 00:05:14,680 --> 00:05:17,320 Speaker 6: in liability against you? I'm not so sure. 101 00:05:17,800 --> 00:05:21,400 Speaker 5: What do we know about President elect Trump and his 102 00:05:21,520 --> 00:05:24,480 Speaker 5: administration how they're viewing this particular issue. Have they opined 103 00:05:24,480 --> 00:05:24,960 Speaker 5: on this yet? 104 00:05:25,920 --> 00:05:29,080 Speaker 6: Yeah, Well, so Trump's been back and forth on this issue. 105 00:05:29,120 --> 00:05:31,880 Speaker 6: So President Trump was the first one to propose a 106 00:05:32,040 --> 00:05:37,080 Speaker 6: TikTok fan and his administration moved ahead with one and 107 00:05:37,200 --> 00:05:39,320 Speaker 6: then only then fell in you know, in trouble in 108 00:05:39,440 --> 00:05:42,560 Speaker 6: court because he tried to do it himself without Congress. 109 00:05:42,839 --> 00:05:46,520 Speaker 6: Then this time Congress did it and passed it. President 110 00:05:46,560 --> 00:05:51,000 Speaker 6: Biden signed it, but then Trump reversed himself, and now 111 00:05:51,080 --> 00:05:54,239 Speaker 6: Trumps has said publicly, look, we don't want to help Meta. 112 00:05:54,720 --> 00:05:58,040 Speaker 6: I don't support a TikTok fan anymore. The problem is 113 00:05:58,080 --> 00:06:01,560 Speaker 6: it's already law, it's already done, and I think it's 114 00:06:01,600 --> 00:06:04,800 Speaker 6: a It's a difficult thing for him to convince Congress, 115 00:06:05,000 --> 00:06:09,280 Speaker 6: which passed this on a bipartisan basis, to reverse itself, 116 00:06:09,880 --> 00:06:12,040 Speaker 6: and so his only options would be kind of the 117 00:06:12,160 --> 00:06:14,440 Speaker 6: unusual course, Oh, we're not going to enforce a law 118 00:06:14,520 --> 00:06:19,840 Speaker 6: that Congress just passed, or you know, you know, or 119 00:06:20,040 --> 00:06:24,520 Speaker 6: approving some sort of sale a divestiture, but there's no 120 00:06:24,640 --> 00:06:27,800 Speaker 6: indication that China would allow that sort of a divestiture. 121 00:06:28,200 --> 00:06:30,680 Speaker 4: All right, really great stuff, Really appreciate it. Thank you 122 00:06:30,800 --> 00:06:32,960 Speaker 4: so very much for jumping on with us. Matthew Shetenhelm, 123 00:06:33,000 --> 00:06:36,320 Speaker 4: media litigation channalyst for Bloomberg Intelligence. And then of course, 124 00:06:36,440 --> 00:06:38,800 Speaker 4: like TikTok is a really big customer of Oracle, what 125 00:06:38,839 --> 00:06:41,560 Speaker 4: does that mean for Oracle? Meta has Instagram? It's that 126 00:06:41,640 --> 00:06:44,880 Speaker 4: good for Meta et cetera. So going down that rabbit. 127 00:06:44,720 --> 00:06:45,320 Speaker 3: Hole as well. 128 00:06:46,839 --> 00:06:50,680 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us live 129 00:06:50,800 --> 00:06:53,720 Speaker 2: week days at ten am Eastern on applecar Play and 130 00:06:53,839 --> 00:06:56,719 Speaker 2: Android Auto with the Bloomberg Business app. You can also 131 00:06:56,839 --> 00:07:00,320 Speaker 2: listen live on Amazon Alexa from our flagship New York station, 132 00:07:00,720 --> 00:07:05,000 Speaker 2: Just Say Alexa Play Bloomberg eleven thirty and. 133 00:07:05,080 --> 00:07:08,160 Speaker 5: A lot of economic data popping out today. Leading off 134 00:07:08,200 --> 00:07:10,240 Speaker 5: this morning at eight thirty. Change in non farm payrolls 135 00:07:10,520 --> 00:07:12,880 Speaker 5: cam in it better than expected twohundred twenty seven thousand 136 00:07:13,160 --> 00:07:15,400 Speaker 5: versus the consensus of two hundred and twenty thousand. The 137 00:07:15,480 --> 00:07:18,320 Speaker 5: revision from the last month was from twelve thousand to 138 00:07:18,720 --> 00:07:21,119 Speaker 5: thirty six thousand, So some good numbers there. Tom Gimmel 139 00:07:21,200 --> 00:07:22,720 Speaker 5: joins us. We always love to check in with Tom 140 00:07:22,800 --> 00:07:25,800 Speaker 5: one on jobs Day. Tom is the founder and board 141 00:07:25,880 --> 00:07:29,200 Speaker 5: metal member of LaSalle Network, one of the leading staffing 142 00:07:29,280 --> 00:07:33,240 Speaker 5: and recruiting firms in the country. Tom, pretty solid number. 143 00:07:33,240 --> 00:07:35,160 Speaker 5: What would you take away from the non farm payroll data? 144 00:07:35,960 --> 00:07:38,360 Speaker 7: Well, number one, I'm not wearing any Sophora or Lulu 145 00:07:38,480 --> 00:07:39,200 Speaker 7: Lemon at the moment. 146 00:07:40,600 --> 00:07:41,440 Speaker 3: Thanks for clarifying. 147 00:07:41,520 --> 00:07:43,480 Speaker 7: Uh huh, yeah, I want to make sure we're clear 148 00:07:43,560 --> 00:07:46,840 Speaker 7: on that, but no, these this is you guys know, 149 00:07:46,920 --> 00:07:50,360 Speaker 7: when we're putting up over two hundred thousand jobs, you 150 00:07:50,440 --> 00:07:53,520 Speaker 7: know how I respond that things are great, and we've 151 00:07:53,560 --> 00:07:56,119 Speaker 7: got got to look at that as a very strong 152 00:07:56,280 --> 00:08:02,200 Speaker 7: positive Average hourly wages up a little bit, average hours 153 00:08:02,280 --> 00:08:07,280 Speaker 7: worked up a little bit, revisions were not bad. That's 154 00:08:07,320 --> 00:08:10,880 Speaker 7: a good thing. Like everything is pointing positively. I really 155 00:08:11,080 --> 00:08:14,240 Speaker 7: hope that the Fed does not lower interest rates. I 156 00:08:14,280 --> 00:08:16,360 Speaker 7: don't think we need it. I think it's something we're 157 00:08:16,360 --> 00:08:19,200 Speaker 7: going to need the dry powder in the latter part 158 00:08:19,240 --> 00:08:22,280 Speaker 7: of next year and to make sure that we realize 159 00:08:22,320 --> 00:08:25,720 Speaker 7: this economy is going really strong and with unemployment inching 160 00:08:25,840 --> 00:08:28,120 Speaker 7: up that that's exactly what everybody's been saying, we need 161 00:08:28,480 --> 00:08:29,120 Speaker 7: curb inflation. 162 00:08:29,560 --> 00:08:32,240 Speaker 4: So the counter to that is the household survey being 163 00:08:32,280 --> 00:08:32,800 Speaker 4: a lot weaker. 164 00:08:32,840 --> 00:08:35,400 Speaker 3: What'd you make of that, listen. 165 00:08:36,080 --> 00:08:40,560 Speaker 7: I think that if we're looking for areas of weakness, 166 00:08:40,880 --> 00:08:43,400 Speaker 7: this is why economists have jobs, They're always going to 167 00:08:43,440 --> 00:08:45,800 Speaker 7: find some number that goes against the grain of what 168 00:08:45,840 --> 00:08:49,439 Speaker 7: everything else says. My feeling is what we know is 169 00:08:49,559 --> 00:08:53,600 Speaker 7: factual more people are working. Unemployment historically at four point 170 00:08:53,679 --> 00:08:57,360 Speaker 7: two is still very very low and unemployment is going 171 00:08:57,400 --> 00:08:59,080 Speaker 7: to go up. Why is it going to go up 172 00:08:59,400 --> 00:09:02,760 Speaker 7: because of Dodge or doge is when we do that, 173 00:09:02,880 --> 00:09:05,000 Speaker 7: when musk and and vevect it in there and we 174 00:09:05,240 --> 00:09:08,640 Speaker 7: shed government employees, they are going to file for unemployment 175 00:09:08,720 --> 00:09:12,559 Speaker 7: and they don't automatically convert to the private sector. And 176 00:09:12,679 --> 00:09:14,800 Speaker 7: so we're going to have a situation where I believe 177 00:09:15,240 --> 00:09:18,120 Speaker 7: unemployment is going to go up naturally, and we're going 178 00:09:18,200 --> 00:09:20,439 Speaker 7: to need to be able to have that lever to 179 00:09:20,480 --> 00:09:22,920 Speaker 7: to pull of lowering interest rates, and we don't want 180 00:09:22,920 --> 00:09:23,520 Speaker 7: to use it now. 181 00:09:24,640 --> 00:09:27,160 Speaker 5: Average hourly earnings on a year of a year basis 182 00:09:27,200 --> 00:09:29,840 Speaker 5: of four percent a little bit better than the expectation. 183 00:09:30,480 --> 00:09:32,839 Speaker 7: What's the wage environment hold? I mean, think about that 184 00:09:32,920 --> 00:09:36,400 Speaker 7: for a second. If somebody gets a three percent raise 185 00:09:36,600 --> 00:09:39,080 Speaker 7: as a cost of living increase the cost of living 186 00:09:39,120 --> 00:09:42,880 Speaker 7: adjustment COLA, we say that that's what corporate America does 187 00:09:43,040 --> 00:09:46,199 Speaker 7: all the time. We're talking about four percent average hourly 188 00:09:46,280 --> 00:09:49,319 Speaker 7: earnings year over year. That's that's a third better than 189 00:09:49,360 --> 00:09:52,439 Speaker 7: what average increases are in corporate America. I think those 190 00:09:52,480 --> 00:09:53,320 Speaker 7: are really good. 191 00:09:53,280 --> 00:09:57,160 Speaker 5: Numbers inflationary for you or is this just again a 192 00:09:57,280 --> 00:09:58,400 Speaker 5: healthy labor market? 193 00:09:59,200 --> 00:10:01,599 Speaker 7: No, I think it's a little bit of inflationary, but 194 00:10:01,920 --> 00:10:04,719 Speaker 7: we're looking at you know what we still have. We 195 00:10:04,800 --> 00:10:07,400 Speaker 7: all go to restaurants, we see that there isn't enough 196 00:10:07,480 --> 00:10:09,880 Speaker 7: workers and even though that's where the majority, so much 197 00:10:09,920 --> 00:10:12,440 Speaker 7: of the hiring was done this past month and going 198 00:10:12,480 --> 00:10:14,760 Speaker 7: into the holiday season, you're going to have more of that. 199 00:10:16,040 --> 00:10:18,719 Speaker 7: There's a lot of positive feelings, whether you whether you 200 00:10:19,000 --> 00:10:21,320 Speaker 7: like the results of the election or not, that it's 201 00:10:21,640 --> 00:10:26,280 Speaker 7: anti regulation and it's really pro business, and so companies 202 00:10:26,320 --> 00:10:27,959 Speaker 7: are going to be hiring and wages are going to 203 00:10:28,040 --> 00:10:30,760 Speaker 7: go up because in order to get people for the 204 00:10:30,880 --> 00:10:33,559 Speaker 7: jobs that are in demand, i e. Service jobs, or 205 00:10:34,080 --> 00:10:36,719 Speaker 7: to get people to leave in white collar jobs, you're 206 00:10:36,760 --> 00:10:38,800 Speaker 7: going to have to pay more and it's going to 207 00:10:38,920 --> 00:10:41,959 Speaker 7: increase that dollar amount. But I think, yeah, I want 208 00:10:42,000 --> 00:10:45,440 Speaker 7: to repeat, when we get more federal workers who are 209 00:10:45,480 --> 00:10:47,560 Speaker 7: filing for unemployment, that number is going to go up 210 00:10:47,600 --> 00:10:49,560 Speaker 7: and you'll see the inflation come down naturally. 211 00:10:49,720 --> 00:10:51,640 Speaker 4: Yeah, that's such a good point that we forget that 212 00:10:51,760 --> 00:10:54,600 Speaker 4: that that that's coming at some point over the next 213 00:10:54,679 --> 00:10:57,280 Speaker 4: few years. Thanks so much, Tom, really appreciate a Ton Gimbal, 214 00:10:57,360 --> 00:10:59,880 Speaker 4: founder and board member of Lacell Network. 215 00:11:01,360 --> 00:11:05,200 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 216 00:11:05,320 --> 00:11:08,400 Speaker 2: weekdays at ten am Eastern on Apple Card playing Android 217 00:11:08,440 --> 00:11:11,480 Speaker 2: Auto with the Bloomberg Business App. Listen on demand wherever 218 00:11:11,559 --> 00:11:14,720 Speaker 2: you get your podcasts, or watch us live on YouTube. 219 00:11:16,640 --> 00:11:18,439 Speaker 4: All right, let's get back to the economic data of 220 00:11:18,520 --> 00:11:21,600 Speaker 4: the morning. That if I dare say, goldilocks a job report. 221 00:11:21,679 --> 00:11:24,160 Speaker 4: Jeffrey Cleveland is chief economists over at Peyton and Regal, 222 00:11:24,559 --> 00:11:27,400 Speaker 4: and he joins us now as he does every job's Friday. 223 00:11:27,960 --> 00:11:30,440 Speaker 3: Hey, Jeffrey, is this a Goldilocks report? 224 00:11:30,520 --> 00:11:30,559 Speaker 6: Like? 225 00:11:30,640 --> 00:11:32,120 Speaker 4: Can I say that? Or is there another word I 226 00:11:32,160 --> 00:11:32,800 Speaker 4: can use. 227 00:11:32,679 --> 00:11:33,199 Speaker 3: To describe this? 228 00:11:34,320 --> 00:11:37,360 Speaker 1: Yeah, goldilocks, soft landing. I think both of those phrases work. 229 00:11:37,840 --> 00:11:42,560 Speaker 1: You've got decent headline job growth. The three month average, 230 00:11:42,559 --> 00:11:45,160 Speaker 1: I think was one hundred and ninety thousand. Sorry, the 231 00:11:45,200 --> 00:11:47,400 Speaker 1: twelve month average was one hundred ninety thousand. The three 232 00:11:47,400 --> 00:11:49,760 Speaker 1: month averages around one hundred and eighty thousand, So that's 233 00:11:49,880 --> 00:11:52,880 Speaker 1: enough I think to keep downward pressure on the unemployment rate. 234 00:11:52,960 --> 00:11:53,840 Speaker 3: So that's good. 235 00:11:54,760 --> 00:11:58,120 Speaker 1: There's probably enough concern about the unemployment rate ticking up 236 00:11:59,040 --> 00:12:01,160 Speaker 1: like it did in the port to four point two. 237 00:12:01,840 --> 00:12:04,760 Speaker 1: So from a risk management perspective, I think the FED, 238 00:12:04,960 --> 00:12:06,559 Speaker 1: you know, keeps on cutting, so we get a cut 239 00:12:06,600 --> 00:12:10,040 Speaker 1: in December, but there's no evidence of a recession here. 240 00:12:10,160 --> 00:12:13,720 Speaker 1: So you've got you know, continued economic growth, no recession, 241 00:12:13,960 --> 00:12:15,959 Speaker 1: and a FED that is going to continue to cut 242 00:12:16,040 --> 00:12:18,719 Speaker 1: rates over the next twelve months. So I think that's goldilocks. 243 00:12:18,760 --> 00:12:21,120 Speaker 1: That's that's great for risk assets, great for risk assets. 244 00:12:21,120 --> 00:12:22,360 Speaker 1: That's kind of where I was going to go, Jeffrey. 245 00:12:22,360 --> 00:12:25,520 Speaker 5: I'm just wondering how you think our Federal Reserve is 246 00:12:25,600 --> 00:12:27,880 Speaker 5: going to view this data here this morning before their 247 00:12:27,920 --> 00:12:29,160 Speaker 5: December eighteenth meeting. 248 00:12:30,040 --> 00:12:32,480 Speaker 1: Well, I mean they're tasked by Congress with keeping us 249 00:12:32,559 --> 00:12:34,960 Speaker 1: at full employment, Paul, right, So you know they want 250 00:12:35,000 --> 00:12:37,200 Speaker 1: to keep that unemployment rate low. They they don't want 251 00:12:37,240 --> 00:12:39,760 Speaker 1: to risk that it continues to tick up. So I 252 00:12:39,840 --> 00:12:43,559 Speaker 1: think that's top of mind. The only thing preventing them 253 00:12:43,640 --> 00:12:46,679 Speaker 1: from focusing on the labor market was inflation. But I 254 00:12:46,720 --> 00:12:48,920 Speaker 1: think inflation is cool. The pay If I could give 255 00:12:48,960 --> 00:12:50,599 Speaker 1: a pitch for the paid and regal chart of the 256 00:12:50,640 --> 00:12:53,000 Speaker 1: week out this morning, I guess you know, we looked, 257 00:12:53,440 --> 00:12:57,440 Speaker 1: we looked at market based core PCE, and that looks 258 00:12:57,520 --> 00:13:00,480 Speaker 1: bang on with the Fed's target. You know, it's running 259 00:13:00,480 --> 00:13:03,559 Speaker 1: at abouzero point two percent month to month for the 260 00:13:03,640 --> 00:13:04,880 Speaker 1: last four or five months. 261 00:13:05,080 --> 00:13:05,760 Speaker 3: So that's good enough. 262 00:13:05,840 --> 00:13:08,120 Speaker 1: Inflation is back to target, So focus on the labor 263 00:13:08,160 --> 00:13:10,520 Speaker 1: So I think that keeps the FED cutting ball. At 264 00:13:10,559 --> 00:13:13,520 Speaker 1: the December meeting, we can debate about how much they 265 00:13:13,600 --> 00:13:15,800 Speaker 1: really need to cut next year. Yeah, they could probably 266 00:13:15,800 --> 00:13:18,240 Speaker 1: afford to go more slowly, sure, but cutting they will. 267 00:13:18,440 --> 00:13:21,160 Speaker 4: So Jeffrey, here's the counter. So Tom Gimble, we just 268 00:13:21,200 --> 00:13:23,640 Speaker 4: talked to him, founder and board member of Lesal Network, 269 00:13:24,040 --> 00:13:26,480 Speaker 4: was talking about the fact that once the Doge Office 270 00:13:26,559 --> 00:13:29,960 Speaker 4: or the Department of Government Efficiencies just slashes government workers, 271 00:13:30,080 --> 00:13:31,439 Speaker 4: all those people are not going to be going to 272 00:13:31,480 --> 00:13:34,400 Speaker 4: the private sector necessarily, so the unployment rate will rise 273 00:13:34,480 --> 00:13:35,720 Speaker 4: and the FED is going to need a lot more 274 00:13:35,800 --> 00:13:38,600 Speaker 4: dry powder to combat that, which means that maybe they 275 00:13:38,600 --> 00:13:41,439 Speaker 4: don't need to hike anymore right now, sorry, cut anymore 276 00:13:41,480 --> 00:13:41,760 Speaker 4: right now. 277 00:13:41,840 --> 00:13:43,000 Speaker 3: What do you make of that argument? 278 00:13:43,920 --> 00:13:46,400 Speaker 1: Well, I think from the FED essential banker perspective, they're 279 00:13:46,440 --> 00:13:48,400 Speaker 1: going to say, well, we're going to wait until we 280 00:13:48,600 --> 00:13:52,880 Speaker 1: see the actual details of any plan to slash spending 281 00:13:53,120 --> 00:13:55,520 Speaker 1: or cut payrolls. So until we see that we have 282 00:13:55,600 --> 00:13:59,120 Speaker 1: more definitive details, that's not going to alter the fence plan. 283 00:13:59,240 --> 00:14:00,920 Speaker 1: The plant is going to look at what's going on 284 00:14:00,960 --> 00:14:03,760 Speaker 1: with their jrajectory for growth, the unemployment rate right now, 285 00:14:04,000 --> 00:14:06,880 Speaker 1: and inflation, and then make decisions based on that. My 286 00:14:07,000 --> 00:14:09,280 Speaker 1: only thing on this Doge thing is that a lot 287 00:14:09,320 --> 00:14:12,080 Speaker 1: of the government employees are at the state and local level, 288 00:14:12,520 --> 00:14:15,679 Speaker 1: not as many at the federal level. So I wonder 289 00:14:15,760 --> 00:14:18,280 Speaker 1: how much, well how much you could really slash and 290 00:14:18,360 --> 00:14:21,200 Speaker 1: burn there, So that might not I think once people 291 00:14:21,240 --> 00:14:24,480 Speaker 1: get into office, they might realize the details reality is 292 00:14:24,560 --> 00:14:26,880 Speaker 1: not quite what they thought it was, and they might 293 00:14:26,960 --> 00:14:30,760 Speaker 1: be more difficult to make cuts. You know, however motivated 294 00:14:30,760 --> 00:14:32,520 Speaker 1: they are to make cuts, So I think that's an 295 00:14:32,560 --> 00:14:34,440 Speaker 1: issue here. We'll have to see how this plays out. 296 00:14:34,640 --> 00:14:39,640 Speaker 5: TBD, TBD, Jeffrey. So we get this pretty solid labor 297 00:14:39,720 --> 00:14:43,400 Speaker 5: number here. How do you view the US consumer? It 298 00:14:43,680 --> 00:14:46,680 Speaker 5: seems like the US consumer hear, she wants a job 299 00:14:47,000 --> 00:14:49,080 Speaker 5: he or she has it, and wages are going higher, 300 00:14:49,280 --> 00:14:51,040 Speaker 5: pretty decent, Yeah, I. 301 00:14:51,040 --> 00:14:53,040 Speaker 1: Mean average AULI earning's ticked up. Paul, you saw that, 302 00:14:53,240 --> 00:14:55,560 Speaker 1: So that's good. So for US paid in regal view 303 00:14:55,640 --> 00:14:59,200 Speaker 1: on consumer is look at income growth. If the consumer 304 00:14:59,280 --> 00:15:02,000 Speaker 1: and aggregate can continues to have income growth, sure there's 305 00:15:02,000 --> 00:15:05,960 Speaker 1: always pocketed pockets of weaknesses, but overall, aggurate income growth 306 00:15:06,080 --> 00:15:08,960 Speaker 1: is still humming along at five percent year on year. 307 00:15:09,720 --> 00:15:11,600 Speaker 1: When you account for you know, what people are being 308 00:15:11,640 --> 00:15:14,080 Speaker 1: paid and how much they're working, how many people are working. 309 00:15:14,480 --> 00:15:17,400 Speaker 1: That looks excellent to us. That that's the reason why Paul, 310 00:15:17,400 --> 00:15:20,600 Speaker 1: in the last eight quarters, US GDP has continued to 311 00:15:20,680 --> 00:15:23,920 Speaker 1: be two to three percent. Consumer spending has continued to 312 00:15:23,920 --> 00:15:26,280 Speaker 1: pump along, and it's because of income growth. So I 313 00:15:26,440 --> 00:15:29,520 Speaker 1: don't see anything in this report that alters our view 314 00:15:29,600 --> 00:15:31,400 Speaker 1: on that. So that's one of the reasons why we 315 00:15:31,520 --> 00:15:33,080 Speaker 1: remain bullish on the US economy. 316 00:15:33,280 --> 00:15:35,000 Speaker 4: All right, so you think the Fed's going to cut 317 00:15:35,040 --> 00:15:37,160 Speaker 4: then in December, this is all fine enough to do that. 318 00:15:37,680 --> 00:15:39,040 Speaker 4: Then what as you raised? 319 00:15:40,280 --> 00:15:43,000 Speaker 1: I think you know, the argument that central bankers would 320 00:15:43,000 --> 00:15:45,600 Speaker 1: make is that as you get closer to neutral, where 321 00:15:45,640 --> 00:15:47,120 Speaker 1: you think you'll kind of settle in that you can 322 00:15:47,160 --> 00:15:50,440 Speaker 1: slow down, so you can as you approach the intersection, 323 00:15:50,520 --> 00:15:52,680 Speaker 1: if you will, Alex, you know, you maybe you take 324 00:15:52,720 --> 00:15:55,320 Speaker 1: your foot off the gas a little air and your 325 00:15:55,360 --> 00:15:58,560 Speaker 1: car hasn't blow it down, right, Yeah, some people just 326 00:15:58,640 --> 00:16:01,000 Speaker 1: power through. I don't know, but I think that's what 327 00:16:01,040 --> 00:16:02,960 Speaker 1: they'll do. So, you know, right now we have penciled 328 00:16:03,040 --> 00:16:05,400 Speaker 1: in four cuts next year, so one per quarter. I 329 00:16:05,520 --> 00:16:08,320 Speaker 1: think that's a decent starting point at this at this 330 00:16:08,920 --> 00:16:11,240 Speaker 1: at this juncture. And as you know, if we've been 331 00:16:11,280 --> 00:16:14,160 Speaker 1: talking for a while now, I've been hawkish most of 332 00:16:14,200 --> 00:16:16,880 Speaker 1: the last three years, you know, more worried about inflation. 333 00:16:17,000 --> 00:16:19,040 Speaker 1: So I think this is a sign of paydon you know, 334 00:16:19,160 --> 00:16:22,120 Speaker 1: being nimble, not being dogmatic. The facts have changed, Inflation 335 00:16:22,280 --> 00:16:24,240 Speaker 1: is cooled, so the federal be cutting over the next 336 00:16:24,280 --> 00:16:24,760 Speaker 1: twelve months. 337 00:16:24,920 --> 00:16:26,800 Speaker 5: Jeffrey, thank you so much for joining us. Always appreciate 338 00:16:26,800 --> 00:16:29,360 Speaker 5: getting a few minutes sorry times, particularly on these job 339 00:16:29,440 --> 00:16:32,360 Speaker 5: stays at Jeffrey Cleveland. He's a chief economists at Peydon 340 00:16:32,400 --> 00:16:34,840 Speaker 5: and Regal. He's out there in LA and joining us 341 00:16:35,000 --> 00:16:35,760 Speaker 5: via zoom. 342 00:16:35,840 --> 00:16:41,160 Speaker 2: Here you're listening to the Bloomberg Intelligence Podcast. Catch us 343 00:16:41,240 --> 00:16:44,480 Speaker 2: live weekdays at ten am Eastern on applecard Play and 344 00:16:44,640 --> 00:16:47,520 Speaker 2: Android Auto with a Bloomberg Business app. You can also 345 00:16:47,640 --> 00:16:51,080 Speaker 2: listen live on Amazon Alexa from our flagship New York station, 346 00:16:51,480 --> 00:16:54,520 Speaker 2: Just Say Alexa, playing Bloomberg eleven thirty. 347 00:16:55,200 --> 00:16:57,480 Speaker 5: One of the themes that Alex I like to stay 348 00:16:57,640 --> 00:17:00,360 Speaker 5: on top of. On a kind of a continue spaces. 349 00:17:00,440 --> 00:17:02,960 Speaker 5: Is commercial real estate in this country had such a 350 00:17:03,200 --> 00:17:06,480 Speaker 5: challenge like many other industries and people did during the pandemic. 351 00:17:06,920 --> 00:17:10,199 Speaker 5: It's recovering different parts of commercial real estate recovering at 352 00:17:10,200 --> 00:17:13,040 Speaker 5: a different pace. One of the ones that's really really tough, 353 00:17:13,119 --> 00:17:16,480 Speaker 5: and particularly for those in larger markets, is office real estate. 354 00:17:16,520 --> 00:17:18,399 Speaker 5: Lisa Knee joins Hiss here. She's a managing partner and 355 00:17:18,440 --> 00:17:20,520 Speaker 5: head of real estate at Eisner Amper. She's here in 356 00:17:20,520 --> 00:17:23,960 Speaker 5: our Bloomberg Interactive Broker studio. Lisa talk to us about 357 00:17:24,240 --> 00:17:27,119 Speaker 5: the office real estate market. Have we I've started to 358 00:17:27,200 --> 00:17:30,880 Speaker 5: see some stories about some Marquey properties in top ten 359 00:17:30,960 --> 00:17:32,440 Speaker 5: markets starting to trade. 360 00:17:32,520 --> 00:17:33,760 Speaker 3: That's the good news to bed news. 361 00:17:33,840 --> 00:17:37,680 Speaker 5: Is at huge, huge discounts forty fifty sixty percent discounts 362 00:17:38,119 --> 00:17:40,960 Speaker 5: to pre pandemic levels. Where's the office real estate market 363 00:17:41,000 --> 00:17:42,160 Speaker 5: in this country do you think today? 364 00:17:42,520 --> 00:17:45,560 Speaker 3: Well, thank you for having me. So the office still remains. 365 00:17:46,080 --> 00:17:48,600 Speaker 3: If it's a Class A, those properties are still aring 366 00:17:48,760 --> 00:17:49,360 Speaker 3: very very well. 367 00:17:49,720 --> 00:17:51,879 Speaker 8: So it's trying to see which which of the what 368 00:17:52,119 --> 00:17:55,000 Speaker 8: sectors in the market and which type of classes the property. 369 00:17:55,080 --> 00:17:56,840 Speaker 8: So some of the Class C properties that you're going 370 00:17:56,920 --> 00:17:58,959 Speaker 8: to see that's really what a lot of the things 371 00:17:59,000 --> 00:18:01,200 Speaker 8: you're reading about. I read about some stuff this week 372 00:18:01,359 --> 00:18:04,119 Speaker 8: in the New York City marketplace as well for office, 373 00:18:04,520 --> 00:18:08,560 Speaker 8: and so looking also when people are is this ripe 374 00:18:08,640 --> 00:18:10,760 Speaker 8: for the conversion to rental, what are we going to 375 00:18:10,800 --> 00:18:11,119 Speaker 8: do with this? 376 00:18:11,600 --> 00:18:12,399 Speaker 3: What is that office? 377 00:18:12,440 --> 00:18:14,600 Speaker 8: And how much money does it take to actually go 378 00:18:14,760 --> 00:18:17,680 Speaker 8: in and either take out the loan or even fix 379 00:18:17,760 --> 00:18:18,320 Speaker 8: the property. 380 00:18:18,680 --> 00:18:21,000 Speaker 3: And so office is still going to remain a little bit. 381 00:18:21,119 --> 00:18:22,879 Speaker 8: You know, the CBS report came out that it was 382 00:18:22,920 --> 00:18:26,720 Speaker 8: a ten percent delinquency rate, which is pretty high for office, 383 00:18:26,760 --> 00:18:28,960 Speaker 8: and they were slated that they expected that to happen 384 00:18:29,000 --> 00:18:31,639 Speaker 8: months ago. So it's taken a while for the delinquency 385 00:18:31,760 --> 00:18:35,280 Speaker 8: rates on the office to generally creep up there. 386 00:18:35,640 --> 00:18:37,239 Speaker 3: But I think people are still looking at it as 387 00:18:37,240 --> 00:18:39,200 Speaker 3: a little bit of a concern and looking. 388 00:18:39,040 --> 00:18:41,200 Speaker 8: To sort of say, where the opportunities out there, whether 389 00:18:41,280 --> 00:18:44,879 Speaker 8: it's the conversions, whether it's now time to retrade and 390 00:18:44,960 --> 00:18:48,600 Speaker 8: think about repricing the office market. Hopefully there's going to 391 00:18:48,640 --> 00:18:50,720 Speaker 8: be somewhat of a mandate for return to office, so 392 00:18:50,800 --> 00:18:51,600 Speaker 8: that we look around. 393 00:18:51,920 --> 00:18:54,440 Speaker 3: This place is always bustling, but there are a lot 394 00:18:54,480 --> 00:18:55,159 Speaker 3: of offices that. 395 00:18:55,200 --> 00:18:58,680 Speaker 8: Are still quite empty and how are employer is going 396 00:18:58,760 --> 00:19:00,240 Speaker 8: to be mandating those? 397 00:19:00,400 --> 00:19:03,560 Speaker 4: So for the Class C office space, what happens to 398 00:19:03,720 --> 00:19:04,359 Speaker 4: those buildings? C? 399 00:19:04,600 --> 00:19:05,720 Speaker 3: Class C? What did I say? 400 00:19:06,000 --> 00:19:09,040 Speaker 5: xCE But that's like that's not good right right? 401 00:19:09,080 --> 00:19:10,760 Speaker 3: But yeah, like what is that? 402 00:19:11,680 --> 00:19:13,320 Speaker 4: Can you give us some like broad examples of what 403 00:19:13,400 --> 00:19:15,080 Speaker 4: that would look like and then what happens to that 404 00:19:15,160 --> 00:19:15,600 Speaker 4: real esty? 405 00:19:15,760 --> 00:19:17,920 Speaker 8: Yeah, so that would be older stock that could be 406 00:19:17,960 --> 00:19:20,720 Speaker 8: in Manhattan or in any city around the country that 407 00:19:20,920 --> 00:19:23,280 Speaker 8: probably needs a lot of work to renovate it to 408 00:19:23,320 --> 00:19:25,960 Speaker 8: get it to where the amenities that you guys have 409 00:19:26,000 --> 00:19:28,200 Speaker 8: such a Bloomberger some of the even where our offices 410 00:19:28,240 --> 00:19:30,760 Speaker 8: are now, So people are looking for those amenities to 411 00:19:30,840 --> 00:19:33,399 Speaker 8: get them to a Class A building. That's a lot 412 00:19:33,400 --> 00:19:35,200 Speaker 8: of capital that needs to be infused in that. So 413 00:19:35,320 --> 00:19:37,280 Speaker 8: people want that a little bit more of an experience 414 00:19:37,760 --> 00:19:40,920 Speaker 8: in the office. There's more focus on health than feeling 415 00:19:40,960 --> 00:19:43,840 Speaker 8: good about where you are. Those Class c's are probably 416 00:19:43,920 --> 00:19:46,399 Speaker 8: forty to fifty years old and don't have that feeling 417 00:19:46,480 --> 00:19:46,920 Speaker 8: in that look. 418 00:19:47,000 --> 00:19:49,600 Speaker 5: But that I'm thinking anything but Class A in this 419 00:19:49,800 --> 00:19:53,160 Speaker 5: marketplace in New York City, I'm thinking that's seventy percent 420 00:19:53,200 --> 00:19:54,200 Speaker 5: of the square footage. 421 00:19:54,359 --> 00:19:55,080 Speaker 3: I mean, it's a ton. 422 00:19:55,359 --> 00:19:57,600 Speaker 5: I look at every building up and down Third Avenue, 423 00:19:57,680 --> 00:19:59,680 Speaker 5: every building up and down lower Park Avenue, like Park 424 00:19:59,680 --> 00:20:02,480 Speaker 5: Avenue just above Grand Central Station was in the news 425 00:20:02,520 --> 00:20:05,199 Speaker 5: this week. I think you know that's got marked down 426 00:20:05,240 --> 00:20:08,320 Speaker 5: below the value the mortgage. I mean, there's so much 427 00:20:08,359 --> 00:20:12,240 Speaker 5: of that square footage in the city. Nothing's happening to that. 428 00:20:12,280 --> 00:20:13,760 Speaker 5: So you can't renovate that stuff, can you? 429 00:20:13,960 --> 00:20:16,080 Speaker 8: So a lot of it that So you're also looking 430 00:20:16,080 --> 00:20:19,760 Speaker 8: at external renovations versus internal and recreating that space for 431 00:20:19,840 --> 00:20:21,679 Speaker 8: the tenant experience, and so a lot of it can 432 00:20:21,800 --> 00:20:25,680 Speaker 8: get changed internally for the tenant and even the lobbies. 433 00:20:25,720 --> 00:20:28,200 Speaker 3: So yeah, you're not going to have the glass windows. 434 00:20:27,800 --> 00:20:31,880 Speaker 8: And the beautiful outside facade, but interior for the tenant improvements, 435 00:20:32,080 --> 00:20:35,320 Speaker 8: you can make those changes to make it more palatable 436 00:20:35,400 --> 00:20:36,960 Speaker 8: for the consumer. 437 00:20:36,840 --> 00:20:37,560 Speaker 3: To use that party. 438 00:20:37,560 --> 00:20:39,800 Speaker 4: Again, to your point, it's still expensive to do that. 439 00:20:40,040 --> 00:20:42,000 Speaker 4: And also we don't know what the return to office, Mandy, 440 00:20:42,000 --> 00:20:43,800 Speaker 4: it's going to be for that to do. 441 00:20:44,160 --> 00:20:44,600 Speaker 8: So if. 442 00:20:46,160 --> 00:20:47,800 Speaker 3: What's like the next solution, So. 443 00:20:47,960 --> 00:20:49,960 Speaker 4: If there's not the money to kind of renovate it, right, 444 00:20:50,160 --> 00:20:51,920 Speaker 4: does it just go to the bank, does it go 445 00:20:52,000 --> 00:20:52,439 Speaker 4: belly up? 446 00:20:52,600 --> 00:20:53,320 Speaker 3: What happens to it. 447 00:20:53,480 --> 00:20:56,399 Speaker 8: So we read there's a very large, too large developers 448 00:20:56,560 --> 00:20:59,520 Speaker 8: in New York that are taking a platform they just 449 00:20:59,560 --> 00:21:02,320 Speaker 8: started on nationally that they're going to convert some of 450 00:21:02,400 --> 00:21:03,639 Speaker 8: these offices to residential. 451 00:21:04,000 --> 00:21:05,920 Speaker 3: Now, we've been reading about this a lot, and you'll 452 00:21:05,960 --> 00:21:06,080 Speaker 3: have a. 453 00:21:06,080 --> 00:21:08,320 Speaker 8: Lot of people talking about the negatives to positive but 454 00:21:08,400 --> 00:21:11,560 Speaker 8: these are experienced developers who have already created some of 455 00:21:11,640 --> 00:21:14,359 Speaker 8: that conversion from office to residential. So not all of 456 00:21:14,400 --> 00:21:16,359 Speaker 8: the stock will convert, but some of it will really 457 00:21:16,400 --> 00:21:19,080 Speaker 8: really successfully with the right developer, and that's a really 458 00:21:19,160 --> 00:21:22,440 Speaker 8: exciting thing, and that would be across nationwide. It's not, again, 459 00:21:22,480 --> 00:21:24,640 Speaker 8: it's not one hundred percent solution, but it's a really 460 00:21:24,760 --> 00:21:27,480 Speaker 8: nice type of solution for those types of assets out there. 461 00:21:27,800 --> 00:21:31,400 Speaker 5: What's happening with I guess commercial real estate mortgages as 462 00:21:31,560 --> 00:21:35,040 Speaker 5: they mature and now I got a comeback and rates 463 00:21:35,080 --> 00:21:37,560 Speaker 5: are so much higher and my loan to value ratio 464 00:21:37,640 --> 00:21:40,199 Speaker 5: is all screwed up now, so I need new equity. 465 00:21:40,280 --> 00:21:41,920 Speaker 3: What happens to those types of situations? 466 00:21:41,960 --> 00:21:42,840 Speaker 5: What are we seeing out there? 467 00:21:43,440 --> 00:21:46,480 Speaker 8: Yeah, so we just saw this past week Valley National 468 00:21:47,119 --> 00:21:51,760 Speaker 8: solo a billion dollar portfolio of their loans to Brookfield 469 00:21:52,040 --> 00:21:53,359 Speaker 8: and so those are positive things. 470 00:21:53,280 --> 00:21:55,399 Speaker 3: When sales like that can happen and they sell at 471 00:21:55,440 --> 00:21:58,280 Speaker 3: a super It was a very slight discount, so that's light. 472 00:21:58,480 --> 00:22:00,720 Speaker 3: So this was good. This was good, and Valley National 473 00:22:00,800 --> 00:22:01,679 Speaker 3: is going to retain. 474 00:22:01,560 --> 00:22:03,840 Speaker 8: Servicing those loans, so they just really wanted it off 475 00:22:03,840 --> 00:22:05,880 Speaker 8: their balance sheet and Brickfield's going to take that over. 476 00:22:06,400 --> 00:22:10,240 Speaker 8: Deutsche Bank the billion dollar portfolio of THEIRS, which was unique, 477 00:22:10,240 --> 00:22:13,320 Speaker 8: and why that's good news is that that portfolio had 478 00:22:13,320 --> 00:22:14,920 Speaker 8: a lot of office in there. So the fact that 479 00:22:15,000 --> 00:22:18,560 Speaker 8: that was able to trade and close, that's really optimistic. 480 00:22:18,080 --> 00:22:20,480 Speaker 3: When you look at it. So have we reached our floor? 481 00:22:20,760 --> 00:22:22,320 Speaker 3: We are we in a stable environment? 482 00:22:22,560 --> 00:22:25,280 Speaker 8: Looking at those billion dollar transactions, you know, one of 483 00:22:25,280 --> 00:22:27,280 Speaker 8: those would have been a highlight reel from the news. 484 00:22:27,520 --> 00:22:29,399 Speaker 8: Two happening in a week, or three even happening in 485 00:22:29,440 --> 00:22:31,480 Speaker 8: a week, that shows that there is movement and that 486 00:22:31,560 --> 00:22:33,600 Speaker 8: there is some activity there. 487 00:22:33,920 --> 00:22:35,639 Speaker 3: To your port on rates and what's. 488 00:22:35,520 --> 00:22:37,520 Speaker 8: Going to happen, you know, we think the Feds are 489 00:22:37,520 --> 00:22:40,879 Speaker 8: going to cut again this month, and so consumers are 490 00:22:41,640 --> 00:22:44,760 Speaker 8: looking on the sidelines and figuring out the money's out there. 491 00:22:45,240 --> 00:22:47,800 Speaker 3: It's just nobody likes the prices and the rates. Right, 492 00:22:47,880 --> 00:22:48,920 Speaker 3: of course, the money's there. 493 00:22:49,160 --> 00:22:51,399 Speaker 4: Yeah, got to get the bid, ask you got to 494 00:22:51,400 --> 00:22:52,639 Speaker 4: get it just to come in and how long that 495 00:22:52,720 --> 00:22:53,320 Speaker 4: winds up taking? 496 00:22:53,520 --> 00:22:54,200 Speaker 5: Cry? Let you go. 497 00:22:54,320 --> 00:22:56,920 Speaker 3: How's Boston right now? So interesting? 498 00:22:57,080 --> 00:22:59,640 Speaker 8: Boston is an interesting market when you when you look 499 00:22:59,720 --> 00:23:02,199 Speaker 8: at it, we're reading about it in the papers. It's 500 00:23:02,280 --> 00:23:04,639 Speaker 8: a little bit slower to get back to where some 501 00:23:04,720 --> 00:23:07,160 Speaker 8: of the other cities are doing. I went to school 502 00:23:07,160 --> 00:23:09,720 Speaker 8: in Boston, so it's kind of close to my heart, 503 00:23:09,920 --> 00:23:12,000 Speaker 8: but it is a little bit slower to get back, 504 00:23:12,000 --> 00:23:14,560 Speaker 8: both on the residential and on the office commercial side, 505 00:23:14,960 --> 00:23:16,879 Speaker 8: to where some of the other cities we're seeing have 506 00:23:17,000 --> 00:23:18,200 Speaker 8: rebounded a little bit quicker. 507 00:23:18,880 --> 00:23:21,040 Speaker 5: All right, and good stuff, Lisai, thank you so much 508 00:23:21,080 --> 00:23:23,480 Speaker 5: for joining us, Lisa to He's a managing partner and 509 00:23:23,600 --> 00:23:26,159 Speaker 5: head of real estate for Eisner Amper joining us here 510 00:23:26,160 --> 00:23:28,359 Speaker 5: in our Bloomberg Interactive Broker studio. I like to think 511 00:23:28,400 --> 00:23:29,760 Speaker 5: we're in a A plus. 512 00:23:30,080 --> 00:23:31,680 Speaker 1: Oh my god, yeah, we're light. 513 00:23:31,600 --> 00:23:32,359 Speaker 3: A plus plus. 514 00:23:32,440 --> 00:23:34,920 Speaker 4: Everyone's jealous of our snacks and you should have seen it, Lisa. 515 00:23:34,960 --> 00:23:37,160 Speaker 4: We had a whole Christmas fair in the last few days. 516 00:23:37,680 --> 00:23:41,560 Speaker 3: It was jamming upstairs. This was snackflow was unbelievable. 517 00:23:41,680 --> 00:23:43,880 Speaker 5: So yeah, Bloombergs. They figured out this get people back 518 00:23:43,920 --> 00:23:45,840 Speaker 5: to the office kind of thing, so it's all working out. 519 00:23:46,160 --> 00:23:50,679 Speaker 2: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 520 00:23:50,880 --> 00:23:53,760 Speaker 2: and anywhere else you will get your podcasts. Listen live 521 00:23:53,880 --> 00:23:57,280 Speaker 2: each weekday ten am to noon Eastern on Bloomberg dot com, 522 00:23:57,560 --> 00:24:00,280 Speaker 2: the iHeart Radio app tune In, and the Bloue Bomberg 523 00:24:00,359 --> 00:24:03,440 Speaker 2: Business app. You can also watch us live every weekday 524 00:24:03,520 --> 00:24:06,080 Speaker 2: on YouTube and always on the Bloomberg Journal