1 00:00:00,120 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,240 --> 00:00:12,160 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 3 00:00:12,240 --> 00:00:14,920 Speaker 2: weekdays at ten am Eastern on Apple, card Playing and 4 00:00:15,040 --> 00:00:17,960 Speaker 2: Broun Auto with the Bloomberg Business App. Listen on demand 5 00:00:18,000 --> 00:00:22,080 Speaker 2: wherever you get your podcasts, or watch us live on YouTube. 6 00:00:22,720 --> 00:00:25,080 Speaker 3: Mollie Smith sitting in for Alex Steel on Paul Sweeney. 7 00:00:25,079 --> 00:00:27,240 Speaker 3: You're live here on our Bloomberg Interactive Broker Studio or 8 00:00:27,240 --> 00:00:30,600 Speaker 3: streaming live on YouTube as well. Which seems like for 9 00:00:30,640 --> 00:00:33,080 Speaker 3: the last five, six, seven years, there's been this growing 10 00:00:33,520 --> 00:00:38,440 Speaker 3: tech cold war between China and the West, and now 11 00:00:38,440 --> 00:00:41,600 Speaker 3: we've got a story out about the chip maker. ASML 12 00:00:41,640 --> 00:00:45,040 Speaker 3: Holdings a CEO, he expects pressure to grow from the 13 00:00:45,200 --> 00:00:49,360 Speaker 3: US to further restrict sales of semiconductor technology to China. 14 00:00:49,680 --> 00:00:52,080 Speaker 3: That's the biggest market for the Dutch producer of chip 15 00:00:52,120 --> 00:00:54,520 Speaker 3: making machines. Man Deep Sing joins us, he's the our 16 00:00:54,640 --> 00:00:57,080 Speaker 3: tech dude, He's ahead of all the technology stuff at 17 00:00:57,080 --> 00:01:00,880 Speaker 3: Bloomberg Intelligence. Man Deep talk to us about the chip 18 00:01:00,960 --> 00:01:05,440 Speaker 3: market China as a customer, how do you think this 19 00:01:05,480 --> 00:01:07,760 Speaker 3: is going to play out? Because again it feels like 20 00:01:07,800 --> 00:01:10,080 Speaker 3: there is this tech cold war that's right there. 21 00:01:10,560 --> 00:01:13,360 Speaker 4: Yeah, I mean when you look at a company like SML, 22 00:01:13,560 --> 00:01:16,680 Speaker 4: which almost did you know, forty five percent of their 23 00:01:16,720 --> 00:01:20,720 Speaker 4: revenue from selling to Chinese customers over the past twelve 24 00:01:20,720 --> 00:01:24,920 Speaker 4: months and they guide it to that percentage going to 25 00:01:25,040 --> 00:01:29,400 Speaker 4: about twenty percent next year. So clearly the deceleration is 26 00:01:29,560 --> 00:01:33,319 Speaker 4: huge in terms of the China exposure, and partly that 27 00:01:33,400 --> 00:01:35,479 Speaker 4: has to do with the you know, the Cold War 28 00:01:35,600 --> 00:01:40,440 Speaker 4: or the geopolitical element that you just alluded to. And look, 29 00:01:40,880 --> 00:01:46,760 Speaker 4: it's not surprising given ASML the machines they make underpin 30 00:01:46,959 --> 00:01:51,960 Speaker 4: the latest factories that are producing these chips that everyone 31 00:01:52,000 --> 00:01:55,280 Speaker 4: wants to train their AI on. So when you look 32 00:01:55,320 --> 00:01:59,680 Speaker 4: at the semiconductor chain, I mean ASML sits at pretty 33 00:01:59,760 --> 00:02:03,840 Speaker 4: much at the bottom end of what it takes to 34 00:02:03,880 --> 00:02:07,720 Speaker 4: set up a semiconductor factory. They are deemed as one 35 00:02:07,760 --> 00:02:10,400 Speaker 4: of the biggest beneficiaries of the Chips Act. When you 36 00:02:10,440 --> 00:02:13,639 Speaker 4: think about you know, the US government wanting to set 37 00:02:13,720 --> 00:02:16,320 Speaker 4: up semiconductor fabs in the US, they are one of 38 00:02:16,400 --> 00:02:20,160 Speaker 4: the prime beneficiaries. But then the offset is the China 39 00:02:20,240 --> 00:02:22,640 Speaker 4: business that is going down, and that's why you're seeing 40 00:02:22,720 --> 00:02:24,600 Speaker 4: you know, valuation compressed recently. 41 00:02:24,840 --> 00:02:26,680 Speaker 5: Can you just help catch us all up here, Mandy, 42 00:02:26,720 --> 00:02:29,959 Speaker 5: because this has been a crazy week with ASML, going 43 00:02:30,000 --> 00:02:32,760 Speaker 5: back to the earnings announcement last week when they cut 44 00:02:32,760 --> 00:02:35,400 Speaker 5: their outlook for next year. You know, the orders were 45 00:02:35,520 --> 00:02:39,400 Speaker 5: very disappointing. This triggered this whole route in the semiconductor industry. 46 00:02:39,400 --> 00:02:41,160 Speaker 5: Can you just catch us all up here on like 47 00:02:41,200 --> 00:02:42,880 Speaker 5: what the past week has been like? 48 00:02:43,080 --> 00:02:46,480 Speaker 4: Yeah, in fact, it's been a roller coaster because you 49 00:02:46,560 --> 00:02:50,040 Speaker 4: had the ASML disappointment and then TSMC comes out the 50 00:02:50,080 --> 00:02:52,840 Speaker 4: next day and they say AI revenue will be almost 51 00:02:52,919 --> 00:02:56,040 Speaker 4: mid teens, which was negligible over the past you know, 52 00:02:56,240 --> 00:02:59,800 Speaker 4: three quarters. So clearly there's been a big kind of 53 00:03:00,400 --> 00:03:04,480 Speaker 4: sentiment when it comes to TSMC being very bullish on 54 00:03:04,520 --> 00:03:09,160 Speaker 4: AI versus ASML downplaying you know, the next twelve months. 55 00:03:09,200 --> 00:03:13,000 Speaker 4: And that's partly to do with where TSMC sits, which 56 00:03:13,040 --> 00:03:16,840 Speaker 4: is they are getting all these orders from Nvidia as 57 00:03:16,840 --> 00:03:19,680 Speaker 4: well as other hyperscalers who want to get their chips 58 00:03:19,680 --> 00:03:25,400 Speaker 4: manufactured at TSMC, whereas ASML has got two companies that 59 00:03:25,480 --> 00:03:29,600 Speaker 4: are pulling back on their orders, Intel and Samsung, and 60 00:03:29,680 --> 00:03:32,959 Speaker 4: TSMC is the only one that's buying from ASML right now. 61 00:03:33,000 --> 00:03:36,760 Speaker 4: So TSMC has a lot of bargaining power because they 62 00:03:36,800 --> 00:03:39,880 Speaker 4: are the only ones who can raise their capex. Intel 63 00:03:40,080 --> 00:03:45,040 Speaker 4: is really struggling. Samsung, we have heard, is also struggling now. 64 00:03:45,120 --> 00:03:48,720 Speaker 4: So both those companies, the next two big buyers of ASML, 65 00:03:49,000 --> 00:03:51,320 Speaker 4: are looking to pair back their spend and that's why 66 00:03:51,360 --> 00:03:53,680 Speaker 4: I think TSMC is in a great spot both from 67 00:03:53,720 --> 00:03:57,360 Speaker 4: the customer side as well as having the supplier bargaining power. 68 00:03:57,800 --> 00:04:01,000 Speaker 3: All Right, ASML is a Dutch company. If the US 69 00:04:01,000 --> 00:04:02,520 Speaker 3: tells me to do something, why don't I just tell 70 00:04:02,560 --> 00:04:03,520 Speaker 3: them to go take a hike? 71 00:04:04,360 --> 00:04:08,280 Speaker 4: Well, I mean it goes back to how these kind 72 00:04:08,320 --> 00:04:11,680 Speaker 4: of countries work as a block. Look, I think when 73 00:04:11,920 --> 00:04:17,120 Speaker 4: the US government kind of asks a country to enforce 74 00:04:17,240 --> 00:04:20,320 Speaker 4: their restrictions, then most of the times they end up 75 00:04:20,360 --> 00:04:24,560 Speaker 4: doing that because of you know, the trading aspect of 76 00:04:24,600 --> 00:04:28,040 Speaker 4: how these companies just operate as a block. And in 77 00:04:28,080 --> 00:04:32,039 Speaker 4: this case, I think the restrictions are very targeted towards 78 00:04:32,120 --> 00:04:38,760 Speaker 4: the advanced machines that are used for latest leading node manufacturing. 79 00:04:38,839 --> 00:04:44,920 Speaker 4: So I think again it comes down to how the 80 00:04:44,920 --> 00:04:49,840 Speaker 4: politics of it is really focused on, and it's hard 81 00:04:49,880 --> 00:04:52,159 Speaker 4: for the companies to control that, right, So if the 82 00:04:52,200 --> 00:04:55,919 Speaker 4: governments agree on something they have to comply with the restrictions. 83 00:04:55,600 --> 00:04:57,719 Speaker 6: So we have the ASML CEO. 84 00:04:57,839 --> 00:05:01,000 Speaker 5: He's been speaking at the Bloomberg Tech Summit recently, and 85 00:05:01,680 --> 00:05:03,960 Speaker 5: he said last week that he sees the chip market's 86 00:05:04,000 --> 00:05:07,159 Speaker 5: long way to recovery extending well into next year. I 87 00:05:07,160 --> 00:05:09,640 Speaker 5: think that's a fair timeline given all of what's going 88 00:05:09,640 --> 00:05:10,880 Speaker 5: on in the industry right now. 89 00:05:11,480 --> 00:05:14,279 Speaker 4: I mean there are two pockets here. One is the 90 00:05:14,400 --> 00:05:18,039 Speaker 4: AI pocket, which is really firing on all cylinders. I mean, 91 00:05:18,120 --> 00:05:21,720 Speaker 4: companies have insatiable demand and we've seen that with TSMC 92 00:05:21,880 --> 00:05:28,040 Speaker 4: and Nvidia really kind of talking about it endlessly. On 93 00:05:28,080 --> 00:05:33,120 Speaker 4: the other side, the traditional markets like smartphones, PCs, autos, 94 00:05:33,560 --> 00:05:36,560 Speaker 4: they're still slow. I mean, there has been a rebound, 95 00:05:36,560 --> 00:05:40,480 Speaker 4: but it's been very kind of flatish for a few quarters. 96 00:05:40,520 --> 00:05:43,800 Speaker 4: And even the prognosis is not like you're going to 97 00:05:43,880 --> 00:05:47,680 Speaker 4: see massive acceleration in top round growth. So that's where 98 00:05:47,800 --> 00:05:51,120 Speaker 4: I think companies that are exposed to AI are growing 99 00:05:51,240 --> 00:05:54,200 Speaker 4: much faster than the companies that are exposed to these 100 00:05:54,240 --> 00:05:55,400 Speaker 4: traditional land markets. 101 00:05:55,480 --> 00:05:58,800 Speaker 5: And is that just because the market for smartphones is 102 00:05:58,839 --> 00:06:01,640 Speaker 5: pretty saturated at this point? Like don't we all pretty 103 00:06:01,680 --> 00:06:04,440 Speaker 5: much a lot? I mean, it seems pretty ubiquitous now, 104 00:06:04,440 --> 00:06:06,599 Speaker 5: I mean, how much more are there really like these 105 00:06:06,640 --> 00:06:08,520 Speaker 5: big markets that are waiting to be tapped into. 106 00:06:08,920 --> 00:06:11,880 Speaker 4: I mean that's where AI will play a role in 107 00:06:12,000 --> 00:06:15,919 Speaker 4: terms of driving upgrade for your smartphone. It's just right now, 108 00:06:16,080 --> 00:06:20,120 Speaker 4: AI is being consumed and deployed almost solely on cloud. 109 00:06:20,480 --> 00:06:23,320 Speaker 4: That's where the cloud vendors are seeing it in their results. 110 00:06:23,400 --> 00:06:28,640 Speaker 4: But for every edge device, whether it's PC, smartphone, nobody 111 00:06:28,680 --> 00:06:32,680 Speaker 4: has talked about using AI on the device. I mean, 112 00:06:32,680 --> 00:06:34,800 Speaker 4: you can do it through your app that is running 113 00:06:34,800 --> 00:06:37,280 Speaker 4: on the cloud, but you don't need to upgrade your 114 00:06:37,400 --> 00:06:39,400 Speaker 4: smartphone for that, And that's the big driver. 115 00:06:39,520 --> 00:06:42,040 Speaker 3: I just upgraded to the iPhone sixteen pro. Somebody told 116 00:06:42,080 --> 00:06:46,840 Speaker 3: me that you're partner what's his name, anurag upgrade. Look 117 00:06:47,000 --> 00:06:48,719 Speaker 3: you show me a bill of goods here trying to 118 00:06:48,720 --> 00:06:51,360 Speaker 3: pad the Apple numbers it is. 119 00:06:51,320 --> 00:06:53,920 Speaker 4: And look it's it still has a great camera, So 120 00:06:54,080 --> 00:06:55,320 Speaker 4: I think that upgrade. 121 00:06:55,400 --> 00:06:57,440 Speaker 3: I was in Ireland. I was in Ireland for like 122 00:06:57,480 --> 00:07:00,240 Speaker 3: eight days. I took three pictures, two of like sheep 123 00:07:00,279 --> 00:07:00,880 Speaker 3: and one of the pig. 124 00:07:01,240 --> 00:07:04,000 Speaker 4: You're under your lif outset fall. 125 00:07:05,080 --> 00:07:06,640 Speaker 2: What's the fascination. 126 00:07:06,200 --> 00:07:06,839 Speaker 7: With the sheep ball? 127 00:07:07,400 --> 00:07:10,440 Speaker 3: There's more sheep than people there, and they're everywhere. 128 00:07:10,600 --> 00:07:12,400 Speaker 7: I mean, it's unbelievable. No wonder my. 129 00:07:12,920 --> 00:07:15,400 Speaker 3: People left when the first potato a bit All right, 130 00:07:15,440 --> 00:07:16,640 Speaker 3: men Deep saying thank you so much. 131 00:07:16,640 --> 00:07:17,280 Speaker 7: We appreciated. 132 00:07:17,280 --> 00:07:20,320 Speaker 3: Men Deep sing senior tech industry analysts for Bloomberg Intelligence, 133 00:07:20,600 --> 00:07:22,400 Speaker 3: trying to figure out what's going on in the chip 134 00:07:22,400 --> 00:07:25,080 Speaker 3: business again ASML, they're cautious. 135 00:07:25,200 --> 00:07:26,920 Speaker 7: Taiwan Simmy says, no, no, no, no, no. 136 00:07:26,960 --> 00:07:28,000 Speaker 3: Business is still good. 137 00:07:28,040 --> 00:07:30,680 Speaker 5: So honestly, I'm trying to more figure out what's going 138 00:07:30,720 --> 00:07:32,040 Speaker 5: on with your picture taking. 139 00:07:32,280 --> 00:07:34,760 Speaker 6: Yeah, personally, I'm like what you have to show for 140 00:07:34,880 --> 00:07:35,120 Speaker 6: from that? 141 00:07:36,480 --> 00:07:39,000 Speaker 3: You know, you got to live the moment, be in 142 00:07:39,040 --> 00:07:42,000 Speaker 3: the moment, stop recording it and taking photos of it, 143 00:07:42,120 --> 00:07:42,880 Speaker 3: just live in it. 144 00:07:42,960 --> 00:07:44,960 Speaker 5: I think this is really just like right here, this 145 00:07:45,040 --> 00:07:46,840 Speaker 5: is like the difference between what a man and a 146 00:07:46,880 --> 00:07:48,000 Speaker 5: woman would take pictures of. 147 00:07:48,440 --> 00:07:51,240 Speaker 7: I think it's more generational. Actually yeah, okay, we could 148 00:07:51,280 --> 00:07:52,280 Speaker 7: do generational too. 149 00:07:52,280 --> 00:07:54,559 Speaker 3: I mean, you know, you see a picture from thirty 150 00:07:54,600 --> 00:07:56,400 Speaker 3: forty years ago, if Tiger Woods hitting a shout a 151 00:07:56,480 --> 00:07:58,320 Speaker 3: Jack Nicholas, nobody has a phone out. 152 00:07:58,520 --> 00:07:59,960 Speaker 7: But now go figure. 153 00:08:01,600 --> 00:08:05,480 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us Live 154 00:08:05,560 --> 00:08:09,040 Speaker 2: weekdays at ten am Eastern on applecard Play and Android 155 00:08:09,080 --> 00:08:11,880 Speaker 2: Auto with the Bloomberg Business app. You can also listen 156 00:08:12,000 --> 00:08:15,080 Speaker 2: live on Amazon Alexa from our flagship New York station 157 00:08:15,440 --> 00:08:19,200 Speaker 2: just say Alexa playing Bloomberg eleven thirty. 158 00:08:19,600 --> 00:08:22,920 Speaker 3: Let's talk about European banks. We had the big US 159 00:08:22,960 --> 00:08:25,040 Speaker 3: banks report over the last week or so, really strong 160 00:08:25,160 --> 00:08:28,840 Speaker 3: numbers coming out of the big global US banks and 161 00:08:28,960 --> 00:08:31,000 Speaker 3: investment banks. We're going to get some of the European 162 00:08:31,040 --> 00:08:33,000 Speaker 3: folks coming up, and we also got some news coming 163 00:08:33,040 --> 00:08:37,000 Speaker 3: out of HSBC, one of the big European and Asian banks. 164 00:08:37,080 --> 00:08:38,120 Speaker 7: Kind of a little restructuring there. 165 00:08:38,160 --> 00:08:42,120 Speaker 3: So let's check in with our euro banks official, Tamash Netzel. 166 00:08:42,160 --> 00:08:46,240 Speaker 3: He's a senior European banks analyst for Bloomberg Intelligence. Tomash, 167 00:08:46,240 --> 00:08:47,640 Speaker 3: thanks so much for joining us here. 168 00:08:47,800 --> 00:08:49,079 Speaker 7: Talk to us about HSBC. 169 00:08:49,280 --> 00:08:52,240 Speaker 3: First here they got a pretty big restructuring going on 170 00:08:52,559 --> 00:08:55,080 Speaker 3: at this bank. Tell us what's going on there at HSBC. 171 00:08:56,080 --> 00:08:59,120 Speaker 8: Yes, thank you very much for having me. Yes, definitely. Today, 172 00:08:59,280 --> 00:09:01,760 Speaker 8: all over the U you can hear the biggest restructuring 173 00:09:01,840 --> 00:09:04,080 Speaker 8: in almost a decade. And I would say that I 174 00:09:04,120 --> 00:09:06,920 Speaker 8: think it is the continuation of overhaul over restructuring of 175 00:09:06,960 --> 00:09:10,280 Speaker 8: the business which started at the beginning of twenty twenty 176 00:09:10,400 --> 00:09:13,880 Speaker 8: more or less by previous COEO. We have got new 177 00:09:13,920 --> 00:09:16,440 Speaker 8: CEO starting his job at first of September, and I 178 00:09:16,480 --> 00:09:19,640 Speaker 8: think one of his one of his priority was how 179 00:09:19,679 --> 00:09:21,920 Speaker 8: to how to make sure that we can sustain meetings 180 00:09:22,040 --> 00:09:25,720 Speaker 8: rot for beyond two the twenty four to twenty five 181 00:09:26,040 --> 00:09:28,400 Speaker 8: how do we deal with the business in the clinic 182 00:09:28,480 --> 00:09:31,160 Speaker 8: interest rate environment? And what do we do with the costs? 183 00:09:31,240 --> 00:09:35,280 Speaker 8: And the restructuring of the of his business he proposed 184 00:09:35,559 --> 00:09:38,480 Speaker 8: and introduced from first January twenty twenty five is just 185 00:09:38,520 --> 00:09:41,560 Speaker 8: to address others the issues that the HSBC is facing, 186 00:09:41,559 --> 00:09:44,200 Speaker 8: and the biggest one is of course controlling the cost 187 00:09:45,160 --> 00:09:45,880 Speaker 8: Can you talk. 188 00:09:45,720 --> 00:09:47,800 Speaker 6: To us about what some of those costs are? 189 00:09:47,960 --> 00:09:50,360 Speaker 5: And I mean when I hear firms are trying to 190 00:09:50,400 --> 00:09:53,200 Speaker 5: cut costs, I immediately think they're trying to cut jobs. 191 00:09:53,200 --> 00:09:57,840 Speaker 5: And if that's also going to be part of this restructuring, yeah, that's. 192 00:09:57,640 --> 00:09:59,360 Speaker 8: You know, that's very interesting because you know they talk 193 00:09:59,400 --> 00:10:03,000 Speaker 8: about the restatturing, they talk about new divisions, new heads 194 00:10:03,000 --> 00:10:05,960 Speaker 8: of the divisions, et cetera. And maybe there's a maybe 195 00:10:06,040 --> 00:10:09,080 Speaker 8: six cuts on the executive committee. But we don't get 196 00:10:09,080 --> 00:10:11,079 Speaker 8: any numbers. We don't know how much the restructuring is 197 00:10:11,120 --> 00:10:13,680 Speaker 8: gonna cost. We don't know what is the black figure 198 00:10:13,840 --> 00:10:16,920 Speaker 8: in terms of cost savings they would have to expect 199 00:10:16,960 --> 00:10:18,800 Speaker 8: and more more important, we don't know how much this 200 00:10:18,920 --> 00:10:22,320 Speaker 8: restructuring will cost. So yes, definitely there's lots of details. 201 00:10:22,320 --> 00:10:25,200 Speaker 8: There's lots of promises with restructuring, but you know, we 202 00:10:25,240 --> 00:10:27,920 Speaker 8: are yet still short on details. So we would like 203 00:10:27,960 --> 00:10:30,600 Speaker 8: definitely know where the cost CUDEG may come. Where they're 204 00:10:30,640 --> 00:10:35,480 Speaker 8: gonna cut jobs, potentially some jobs if they emerge two divisions. 205 00:10:35,520 --> 00:10:38,680 Speaker 8: There are definitely some overlaps in operations, so there's definitely 206 00:10:38,679 --> 00:10:43,280 Speaker 8: some podcasts jobs, potential cuts. So of course we don't 207 00:10:43,320 --> 00:10:45,000 Speaker 8: know anything of this yet right. I think there was 208 00:10:45,040 --> 00:10:48,520 Speaker 8: a rumors that two fo weeks ago that reported by 209 00:10:48,520 --> 00:10:51,120 Speaker 8: Field of Times that there's a around three hundred millions 210 00:10:51,120 --> 00:10:53,920 Speaker 8: of savings planned by new new management. We don't know 211 00:10:53,960 --> 00:10:56,120 Speaker 8: whether that's true. It has not been confirmed, but I 212 00:10:56,120 --> 00:10:59,200 Speaker 8: think three hundred millions would not be enough for HSBC 213 00:10:59,320 --> 00:11:03,280 Speaker 8: to move that on the investment sentiment. If you look 214 00:11:03,320 --> 00:11:05,720 Speaker 8: at the forecast for for for HSBC at the moment, 215 00:11:05,760 --> 00:11:07,520 Speaker 8: you know the revenue is going to grow by not 216 00:11:08,200 --> 00:11:11,280 Speaker 8: around five million dollars in the next two years, threw 217 00:11:11,280 --> 00:11:14,160 Speaker 8: twenty twenty six. Costs are going to grow by more 218 00:11:14,160 --> 00:11:17,480 Speaker 8: than two billions, So they have quite negative gap which 219 00:11:17,480 --> 00:11:19,559 Speaker 8: they which the CEO I think will have to address 220 00:11:19,600 --> 00:11:23,080 Speaker 8: with more details and more and more more about to 221 00:11:23,200 --> 00:11:24,000 Speaker 8: the point of the plan. 222 00:11:24,480 --> 00:11:26,439 Speaker 6: It sounds like you could all use a lot more 223 00:11:26,440 --> 00:11:26,959 Speaker 6: detail here. 224 00:11:27,000 --> 00:11:28,480 Speaker 5: What I heard you just say is that we don't 225 00:11:28,520 --> 00:11:30,679 Speaker 5: know a lot of what all of these details are 226 00:11:30,720 --> 00:11:32,520 Speaker 5: going to be. I mean, it looks like the stocks 227 00:11:32,559 --> 00:11:36,520 Speaker 5: mildly up a little bit today, houses generally being received 228 00:11:36,520 --> 00:11:38,880 Speaker 5: you know, by you, by the broader analyst community. 229 00:11:39,920 --> 00:11:40,160 Speaker 9: Yeah. 230 00:11:40,200 --> 00:11:42,880 Speaker 8: Well our initial directional Yeah, well, well done. This is 231 00:11:42,920 --> 00:11:46,400 Speaker 8: this is the right step in the right directional shoulding 232 00:11:47,040 --> 00:11:52,199 Speaker 8: separating Hong Kong and China business, creating new new divisions, 233 00:11:52,360 --> 00:11:56,200 Speaker 8: hoping creating some synergies post PRODUCTIBA. It's all good, it's 234 00:11:56,280 --> 00:11:58,480 Speaker 8: all good on paper, but you know, we don't know details. 235 00:11:58,480 --> 00:12:00,960 Speaker 8: We don't know. That's why the h shares price today 236 00:12:01,000 --> 00:12:03,520 Speaker 8: shroud off this news kind of right with flatish. I 237 00:12:03,520 --> 00:12:07,200 Speaker 8: think market is expecting more from from more bold moves 238 00:12:07,200 --> 00:12:12,560 Speaker 8: by new CEO. There's definitely more deeply cost savings measure 239 00:12:12,600 --> 00:12:14,600 Speaker 8: needed for a bout the banks. So I think we're 240 00:12:14,640 --> 00:12:17,800 Speaker 8: going to expect day reporting three KY results next week. 241 00:12:18,240 --> 00:12:20,120 Speaker 8: We don't know how much they're going to disclose over there. 242 00:12:20,200 --> 00:12:22,960 Speaker 8: Maybe more will be disclosed during the four KY results, 243 00:12:22,960 --> 00:12:25,480 Speaker 8: but as soon as as as long as we don't 244 00:12:25,520 --> 00:12:28,520 Speaker 8: have much details nothing to work on, it's very difficult 245 00:12:28,559 --> 00:12:31,640 Speaker 8: to gauge what is the direction of travels for ROT 246 00:12:31,800 --> 00:12:33,720 Speaker 8: and HBC and where they want to go to. We 247 00:12:33,800 --> 00:12:36,800 Speaker 8: do have our focus at the on HSBC. We we 248 00:12:36,920 --> 00:12:38,800 Speaker 8: talk about where they can cut costs, how they can 249 00:12:38,840 --> 00:12:41,880 Speaker 8: boost productivity with a better age of those but you know, 250 00:12:42,400 --> 00:12:44,960 Speaker 8: we expect as well as management to come with a 251 00:12:45,000 --> 00:12:47,400 Speaker 8: solid plan to do deliver on those metrics. 252 00:12:47,960 --> 00:12:49,680 Speaker 3: To mush let's zoom out a little bit on your 253 00:12:49,720 --> 00:12:51,839 Speaker 3: European bank coverage. We've had the US some of the 254 00:12:51,880 --> 00:12:54,400 Speaker 3: big US banks report and some pretty solid numbers, mostly 255 00:12:54,440 --> 00:12:56,679 Speaker 3: on the capital market side. What are you expecting from 256 00:12:56,679 --> 00:12:58,440 Speaker 3: the European banks this earnings season? 257 00:12:59,440 --> 00:13:02,160 Speaker 8: Yeah, so definitely know the focus will be on on 258 00:13:02,240 --> 00:13:05,400 Speaker 8: the clinic interest rates and the impact on NII because 259 00:13:05,800 --> 00:13:08,160 Speaker 8: European banks being running on this on this high interest 260 00:13:08,240 --> 00:13:10,160 Speaker 8: rates for quite a long time and with now the 261 00:13:10,160 --> 00:13:12,680 Speaker 8: expectations the interest will gone down, so there's some revenue 262 00:13:12,679 --> 00:13:15,559 Speaker 8: pressure coming. But if you look at the geographical you know, 263 00:13:15,600 --> 00:13:19,000 Speaker 8: it's very interesting to look at Europe from perspective or 264 00:13:19,120 --> 00:13:21,400 Speaker 8: UK banks and europe banks or UK banks are very 265 00:13:21,400 --> 00:13:24,920 Speaker 8: well positioned to the clinic interest rates because of the hedges. 266 00:13:24,960 --> 00:13:27,839 Speaker 8: The for revenue forecast is for four to six persons 267 00:13:27,840 --> 00:13:30,480 Speaker 8: through twenty twenty six, which is much higher than other 268 00:13:30,559 --> 00:13:33,400 Speaker 8: European banks. So there are some banks which are exposed 269 00:13:33,400 --> 00:13:36,360 Speaker 8: positively let's put to the clinic interest rates, which can 270 00:13:36,400 --> 00:13:38,800 Speaker 8: be against common sense, but yes they are UK bank 271 00:13:38,800 --> 00:13:41,400 Speaker 8: to go the headges. European banks know they struggle more 272 00:13:41,400 --> 00:13:44,600 Speaker 8: with an II revenue generation. Then when when you look 273 00:13:44,640 --> 00:13:47,280 Speaker 8: at you know, low base of investment bank revenues for 274 00:13:47,440 --> 00:13:49,600 Speaker 8: backers and the others know that can be a positively 275 00:13:49,960 --> 00:13:52,840 Speaker 8: maybe a positive surprise over there as well. So in 276 00:13:52,880 --> 00:13:55,400 Speaker 8: general I think, you know, we're going to expect more 277 00:13:55,679 --> 00:13:59,199 Speaker 8: comments on out of twenty five and how revenue will 278 00:13:59,760 --> 00:14:04,359 Speaker 8: will travel next year. Course rights are going to cut 279 00:14:04,520 --> 00:14:07,560 Speaker 8: more aggrecively and that would be determined the performance of 280 00:14:07,559 --> 00:14:08,319 Speaker 8: the short crisis. 281 00:14:08,440 --> 00:14:11,160 Speaker 3: Tomash Great Stuff has always appreciated Tomas set so he's 282 00:14:11,200 --> 00:14:14,600 Speaker 3: a senior European banks analyst for Bloomberg Intelligency is based 283 00:14:14,640 --> 00:14:19,160 Speaker 3: in London. HSBC is in the news today kicking off 284 00:14:19,160 --> 00:14:21,880 Speaker 3: for restructuring and trying to get that cost structure more 285 00:14:21,880 --> 00:14:23,200 Speaker 3: in line with what they expect to be at a 286 00:14:23,240 --> 00:14:27,400 Speaker 3: tighter revenue environment with interest rates coming down. New CFO, 287 00:14:27,520 --> 00:14:30,000 Speaker 3: the first female CFO, and the bank's history. 288 00:14:30,040 --> 00:14:30,640 Speaker 7: How cool is that. 289 00:14:32,240 --> 00:14:36,120 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 290 00:14:36,200 --> 00:14:39,280 Speaker 2: weekdays at ten am Eastern on Affo card playing Android 291 00:14:39,320 --> 00:14:42,400 Speaker 2: otto with the Bloomberg Business App. Listen on demand wherever 292 00:14:42,480 --> 00:14:46,320 Speaker 2: you get your podcasts, or watch us live on YouTube. 293 00:14:47,040 --> 00:14:48,760 Speaker 3: Let's talk about real banking, regional banking. 294 00:14:48,800 --> 00:14:50,120 Speaker 7: Joe Castillia joins us. 295 00:14:50,200 --> 00:14:54,320 Speaker 3: Castilia joins us President and CEO of Citizens Bank of Edmond. 296 00:14:54,360 --> 00:14:56,560 Speaker 7: That would be Edmen, Oklahoma. 297 00:14:56,640 --> 00:15:00,720 Speaker 3: Right now, which is basically by Google maps, oklahom. 298 00:15:00,360 --> 00:15:01,480 Speaker 7: Because I have no idea where that is. 299 00:15:01,560 --> 00:15:04,200 Speaker 3: It's basically Oklahoma City, so you're right there in Oka City. 300 00:15:04,760 --> 00:15:06,320 Speaker 3: So there's a lot of stuff going on in the 301 00:15:06,400 --> 00:15:09,280 Speaker 3: National Cowboy and Western Heritage Museum. 302 00:15:09,480 --> 00:15:10,680 Speaker 7: That would be my first stop. 303 00:15:10,720 --> 00:15:13,280 Speaker 6: I mean, I would think going on Oklahoma football game now. 304 00:15:13,320 --> 00:15:16,360 Speaker 3: That yeah, Oklahoma that would be a little bit, Yes, 305 00:15:16,600 --> 00:15:18,600 Speaker 3: a little bit. Jill, thanks so much for joining us here. 306 00:15:18,680 --> 00:15:21,720 Speaker 3: Talk to us about your bank. Who is your customer 307 00:15:22,440 --> 00:15:23,320 Speaker 3: for your bank? 308 00:15:23,440 --> 00:15:25,840 Speaker 1: Yeah, So I get the privilege of being a CEO 309 00:15:26,040 --> 00:15:28,600 Speaker 1: of a one location, one hundred and twenty four year 310 00:15:28,640 --> 00:15:31,920 Speaker 1: old community bank located in suburban Oklahoma City and we're 311 00:15:31,960 --> 00:15:33,320 Speaker 1: located on the same intersection and. 312 00:15:33,400 --> 00:15:35,040 Speaker 10: We've been since nineteen oh one. 313 00:15:35,240 --> 00:15:38,720 Speaker 1: So that's history, very very trying to a very traditional 314 00:15:38,760 --> 00:15:42,520 Speaker 1: community bank. The name of citizens been citizens since nineteen 315 00:15:42,560 --> 00:15:45,560 Speaker 1: oh one. Literally citizens pulling their money together kind of 316 00:15:45,560 --> 00:15:48,800 Speaker 1: the first like crowdsourcing and then loaning and money out 317 00:15:48,840 --> 00:15:52,040 Speaker 1: to the rest of the community. But on our board 318 00:15:52,480 --> 00:15:54,240 Speaker 1: about in two thousand and eight, thousand and nine, the 319 00:15:54,240 --> 00:15:56,960 Speaker 1: bank went through a turnaround and after that point decided 320 00:15:57,000 --> 00:15:57,760 Speaker 1: we want to be here. 321 00:15:57,600 --> 00:15:59,400 Speaker 10: For another one hundred years. And so it's a very 322 00:15:59,400 --> 00:16:01,280 Speaker 10: technologic forward bank. 323 00:16:01,600 --> 00:16:04,600 Speaker 1: So we just launched a digital military bank, so we 324 00:16:04,680 --> 00:16:08,280 Speaker 1: have a large military group that's part of our customer base. 325 00:16:08,360 --> 00:16:10,840 Speaker 1: But it's primarily just a traditional community bank where the 326 00:16:10,880 --> 00:16:12,760 Speaker 1: geographic center. 327 00:16:12,880 --> 00:16:15,240 Speaker 3: Militaries all through your family, right. 328 00:16:15,280 --> 00:16:19,240 Speaker 1: Yeah, So I was enlisted, my husband retired Army's sons 329 00:16:19,400 --> 00:16:20,520 Speaker 1: Army daughters. 330 00:16:20,240 --> 00:16:24,680 Speaker 10: Navy, well not just West Point Enaval Academy. That's right, Wow, 331 00:16:24,720 --> 00:16:25,520 Speaker 10: you did your research. 332 00:16:25,600 --> 00:16:27,680 Speaker 3: Yeah, So I mean so I mean so for a 333 00:16:27,720 --> 00:16:31,200 Speaker 3: bank like yours, I mean it's I need a checking account, 334 00:16:31,240 --> 00:16:32,280 Speaker 3: I need a savings account. 335 00:16:32,360 --> 00:16:33,160 Speaker 7: Do I do? 336 00:16:33,160 --> 00:16:34,960 Speaker 3: Do you guys also do like a mortgage and we 337 00:16:35,040 --> 00:16:36,600 Speaker 3: do business loans and all that type of thing. 338 00:16:36,640 --> 00:16:39,120 Speaker 1: It is the whenever people say like you should have 339 00:16:39,160 --> 00:16:41,080 Speaker 1: a niche market and that's the way to be successful, 340 00:16:41,120 --> 00:16:42,400 Speaker 1: we're the antithesis to that. 341 00:16:42,600 --> 00:16:44,800 Speaker 10: So we do everything. So one stop shop for every 342 00:16:44,920 --> 00:16:45,600 Speaker 10: it is everything. 343 00:16:45,680 --> 00:16:49,080 Speaker 1: So I literally will work with a small business perspective 344 00:16:49,080 --> 00:16:51,760 Speaker 1: owner for three years to help them get bankable so 345 00:16:51,880 --> 00:16:54,760 Speaker 1: they can achieve their dream, help with families, buy their 346 00:16:54,800 --> 00:16:58,200 Speaker 1: first home, get that first checking account, stavements account for 347 00:16:58,520 --> 00:17:01,400 Speaker 1: a youngster. So I mean it's being part of someone's life. 348 00:17:01,440 --> 00:17:03,800 Speaker 1: And even like when in this environment where the interst 349 00:17:03,840 --> 00:17:06,359 Speaker 1: rate's changing, if there's any kind of difficulty with the business, 350 00:17:06,359 --> 00:17:10,879 Speaker 1: we're just walking along the entire way. As someone gets alone. 351 00:17:10,920 --> 00:17:13,400 Speaker 1: It's not just ending in with that transaction. It's really 352 00:17:13,480 --> 00:17:14,800 Speaker 1: a relationship over time. 353 00:17:15,040 --> 00:17:17,000 Speaker 5: And what are your clients coming to you for? Like 354 00:17:17,040 --> 00:17:20,679 Speaker 5: when whether it's an individual or a business like what. 355 00:17:21,000 --> 00:17:23,240 Speaker 5: I'm sure they most hear, Oh, rates are going down, 356 00:17:23,320 --> 00:17:26,359 Speaker 5: but you know, inflation and whatever, and they're probably all like, 357 00:17:26,359 --> 00:17:27,800 Speaker 5: they have a lot of questions for you, I'm sure, 358 00:17:27,840 --> 00:17:30,200 Speaker 5: So what are they coming to you for most these days? 359 00:17:30,280 --> 00:17:33,000 Speaker 1: Yeah, so we talk really more holistically about the whole business. 360 00:17:33,040 --> 00:17:34,879 Speaker 1: So it may be that their costs are going up, 361 00:17:34,920 --> 00:17:37,159 Speaker 1: and how do I know achieve some a scale or 362 00:17:37,160 --> 00:17:39,119 Speaker 1: how do I partner to be able to get input 363 00:17:39,160 --> 00:17:39,720 Speaker 1: costs lower? 364 00:17:39,840 --> 00:17:41,320 Speaker 10: What are some different labor options. 365 00:17:41,320 --> 00:17:43,480 Speaker 1: Some of them have left their businesses where they've hired 366 00:17:43,480 --> 00:17:46,080 Speaker 1: employees now to run and start off the family owned business. 367 00:17:46,320 --> 00:17:48,200 Speaker 1: Well now they're having to move back in the business 368 00:17:48,240 --> 00:17:51,080 Speaker 1: because they can't afford the labor costs associated with it. 369 00:17:51,160 --> 00:17:53,600 Speaker 1: So it's really talking about it all holistically and how 370 00:17:53,600 --> 00:17:56,399 Speaker 1: do we help them be a competitive advantage for them 371 00:17:56,400 --> 00:17:58,600 Speaker 1: to be able to manage their business the best way possible. 372 00:17:58,800 --> 00:18:00,439 Speaker 1: And if that means that it's a lowe own that 373 00:18:00,480 --> 00:18:02,880 Speaker 1: we can provide, or if it's investing in some type 374 00:18:02,880 --> 00:18:06,720 Speaker 1: of money market or other asset, and then we're helping 375 00:18:06,720 --> 00:18:07,879 Speaker 1: them make those decisions. 376 00:18:08,520 --> 00:18:10,720 Speaker 3: You know, when Molly and I hear from the you know, 377 00:18:10,760 --> 00:18:12,439 Speaker 3: the big banks when they report their earning is one 378 00:18:12,480 --> 00:18:13,919 Speaker 3: of the things they say they're spending money is in 379 00:18:14,000 --> 00:18:16,960 Speaker 3: tech technology. But for a bank of your size, how 380 00:18:16,960 --> 00:18:19,719 Speaker 3: does technology do you? Guys have to play in that 381 00:18:19,760 --> 00:18:21,239 Speaker 3: game too and have all the apps and do all 382 00:18:21,240 --> 00:18:21,879 Speaker 3: that kind of stuff. 383 00:18:21,920 --> 00:18:24,960 Speaker 1: There is no customers not going to say I'm not 384 00:18:25,000 --> 00:18:27,639 Speaker 1: going to have the same quality of banking services at 385 00:18:27,720 --> 00:18:29,400 Speaker 1: your bank that I can have somewhere. 386 00:18:29,119 --> 00:18:30,000 Speaker 10: Else at Chase. 387 00:18:30,280 --> 00:18:32,440 Speaker 1: So we have to provide the same level of technology, 388 00:18:32,480 --> 00:18:35,800 Speaker 1: and even better we invent technology. We have a patent 389 00:18:35,880 --> 00:18:40,159 Speaker 1: on a small business remote small business kind ATM and 390 00:18:40,200 --> 00:18:41,520 Speaker 1: they're a little bank invented. 391 00:18:41,680 --> 00:18:43,480 Speaker 10: And I would. 392 00:18:43,359 --> 00:18:45,280 Speaker 1: Challenge you if you open your account as a doesn's 393 00:18:45,320 --> 00:18:47,040 Speaker 1: bank evment, I bet that you would have a better 394 00:18:47,119 --> 00:18:49,680 Speaker 1: experience doing that then you would at a large institution 395 00:18:50,240 --> 00:18:52,560 Speaker 1: for no cost. You can sit there and have your 396 00:18:52,680 --> 00:18:55,480 Speaker 1: checking account, wunch your credit score, not have a lot 397 00:18:55,520 --> 00:18:57,159 Speaker 1: of fees, and then be able to call me or 398 00:18:57,200 --> 00:18:59,760 Speaker 1: tech spee twenty four to seven the bank CEO to 399 00:18:59,800 --> 00:19:01,239 Speaker 1: say hey, I have a question about this. 400 00:19:01,320 --> 00:19:05,000 Speaker 10: Wow that yeah, imagine, I'm not sure. 401 00:19:05,200 --> 00:19:07,560 Speaker 5: I think you're probably much more accessible than he is, 402 00:19:07,600 --> 00:19:08,840 Speaker 5: probably to your customers. 403 00:19:08,880 --> 00:19:10,560 Speaker 1: And I said in the lobby, so you're able to 404 00:19:10,560 --> 00:19:13,240 Speaker 1: see if there's any anxiety or if there's any concerns, 405 00:19:13,280 --> 00:19:16,480 Speaker 1: and so you're really accountable and transparent with your customers 406 00:19:16,520 --> 00:19:18,200 Speaker 1: so that you can really help your community grow. 407 00:19:18,480 --> 00:19:20,879 Speaker 5: It was so interesting when you were just saying, I 408 00:19:21,040 --> 00:19:23,920 Speaker 5: assume this is about small businesses talking about still grappling 409 00:19:23,920 --> 00:19:26,159 Speaker 5: with labor costs, because I feel like that's something that 410 00:19:26,560 --> 00:19:28,879 Speaker 5: anecdotally and in the data, we see a lot of 411 00:19:28,880 --> 00:19:32,360 Speaker 5: that has subsided from really the peak times of you know, 412 00:19:32,400 --> 00:19:34,960 Speaker 5: maybe two three years ago. But you're saying this is 413 00:19:34,960 --> 00:19:37,760 Speaker 5: still really a prevalent issue in your community. 414 00:19:37,400 --> 00:19:40,160 Speaker 1: For sure, labor availability I think, O, let me say 415 00:19:40,200 --> 00:19:43,640 Speaker 1: we have thirty seven months that consistently get below four 416 00:19:43,680 --> 00:19:46,040 Speaker 1: percent unemployment, and if we hit one more month. 417 00:19:45,800 --> 00:19:48,040 Speaker 10: It's a record hot a record long. 418 00:19:47,880 --> 00:19:50,879 Speaker 1: Period of time of low unemployment. So labor availability is 419 00:19:50,920 --> 00:19:53,920 Speaker 1: really scarce. And so then you see again like people 420 00:19:53,960 --> 00:19:56,119 Speaker 1: recruiting their sons and daughters to be working in their 421 00:19:56,160 --> 00:19:59,000 Speaker 1: food truck where they could previously be able to hire 422 00:19:59,000 --> 00:19:59,600 Speaker 1: someone to do that. 423 00:20:00,080 --> 00:20:02,679 Speaker 3: So talks about the economy in Great Oklahoma City. Is 424 00:20:02,680 --> 00:20:05,439 Speaker 3: it what is the basis? Is it still energy or 425 00:20:05,480 --> 00:20:07,760 Speaker 3: is it have you diversity from what is the e commune. 426 00:20:08,160 --> 00:20:10,200 Speaker 1: It's quite diverse, and so you have to come and 427 00:20:10,240 --> 00:20:12,800 Speaker 1: visit Oka City and let me give you the grand tour. 428 00:20:12,920 --> 00:20:15,200 Speaker 1: But I mean a large amount that we have military 429 00:20:15,240 --> 00:20:20,080 Speaker 1: basis there, large federal government presence, still energy. 430 00:20:20,200 --> 00:20:21,320 Speaker 10: Some agriculture. 431 00:20:21,520 --> 00:20:23,560 Speaker 1: But it's a much more diverse community than it was 432 00:20:23,640 --> 00:20:25,800 Speaker 1: back in the eighties whenere we were so dependent upon 433 00:20:25,880 --> 00:20:29,280 Speaker 1: oil and gas. But it still permeates everything in our economy. 434 00:20:29,560 --> 00:20:31,480 Speaker 5: And how about like what are some of like the 435 00:20:31,600 --> 00:20:33,760 Speaker 5: you know, the bigger small businesses in the area, Like 436 00:20:33,800 --> 00:20:36,040 Speaker 5: what kind of what kind of work are they engaged in? 437 00:20:36,200 --> 00:20:38,760 Speaker 1: Yes, so we have a large presence in the aerospace industry. 438 00:20:38,840 --> 00:20:41,359 Speaker 1: So Boeing has a large manufacturing plant. 439 00:20:41,080 --> 00:20:45,160 Speaker 10: There, exactly a small business, not a small business. 440 00:20:45,600 --> 00:20:48,080 Speaker 1: Really great restaurant scene if you're a foodie, would love 441 00:20:48,119 --> 00:20:53,600 Speaker 1: a city. So lots of manufacturing, so parts for especially 442 00:20:53,600 --> 00:20:56,240 Speaker 1: the oil and gas industry. You find there lots of 443 00:20:56,240 --> 00:20:59,800 Speaker 1: great small businesses. Loves travel stops not a small business now, 444 00:20:59,840 --> 00:21:03,639 Speaker 1: but started in Oklahoma City. So really great stories of 445 00:21:03,680 --> 00:21:05,040 Speaker 1: growth and resiliency. 446 00:21:05,240 --> 00:21:07,000 Speaker 5: You know, the only time I actually have been to 447 00:21:07,080 --> 00:21:10,320 Speaker 5: Oklahoma was back after one of the tornadoes. 448 00:21:10,520 --> 00:21:12,920 Speaker 6: I think it was about ten years ago near More. 449 00:21:12,880 --> 00:21:15,879 Speaker 5: Oklahoma, And I'm thinking now, you know, as we've just 450 00:21:15,920 --> 00:21:19,560 Speaker 5: had these pair of devastating hurricanes in the southeast, I mean, 451 00:21:19,640 --> 00:21:21,240 Speaker 5: how has it been with I mean, you guys have 452 00:21:21,240 --> 00:21:23,600 Speaker 5: obviously had your fair share of tornadoes over the years. 453 00:21:23,680 --> 00:21:25,960 Speaker 5: Like what is it like for you in the banking 454 00:21:26,040 --> 00:21:27,840 Speaker 5: seat when you have these kind of events and the 455 00:21:27,920 --> 00:21:30,520 Speaker 5: rebuilding efforts and how much are you involved? 456 00:21:31,119 --> 00:21:33,320 Speaker 1: I mean, what a great question. So as a community bank, 457 00:21:33,359 --> 00:21:35,480 Speaker 1: you're just always ready. And so whether those are really 458 00:21:35,520 --> 00:21:38,000 Speaker 1: small disasters that really only you see in your community 459 00:21:38,000 --> 00:21:39,919 Speaker 1: that don't make the national news, you're running to the 460 00:21:39,960 --> 00:21:42,159 Speaker 1: aid of your community there, and it certainly at a 461 00:21:42,160 --> 00:21:44,240 Speaker 1: broader scale, And we're so grateful to be part of 462 00:21:44,240 --> 00:21:47,359 Speaker 1: a greater community banking network that when are even in 463 00:21:47,400 --> 00:21:50,000 Speaker 1: this situation where the hurricanes were able to rally around 464 00:21:50,000 --> 00:21:52,680 Speaker 1: our community makers that are directly impacted to help them 465 00:21:52,680 --> 00:21:56,200 Speaker 1: in their customers. So I'm having those networks of communities 466 00:21:56,240 --> 00:21:59,119 Speaker 1: both internally in this little small community kind sector as 467 00:21:59,119 --> 00:22:01,880 Speaker 1: well as kind of broad in the nation has really 468 00:22:01,960 --> 00:22:04,040 Speaker 1: allowed a community bank to be much more impactful than 469 00:22:04,119 --> 00:22:05,000 Speaker 1: just the bank itself. 470 00:22:05,400 --> 00:22:08,639 Speaker 3: What's a typical consumer customer for your bank. 471 00:22:09,520 --> 00:22:11,080 Speaker 10: Oh wow, there's just no typical. 472 00:22:11,200 --> 00:22:14,280 Speaker 1: So it could be I just had a conversation this 473 00:22:14,320 --> 00:22:17,920 Speaker 1: weekend with an elderly woman who was wanting to buy 474 00:22:17,920 --> 00:22:20,080 Speaker 1: a trailer, and so we were talking about options for 475 00:22:20,119 --> 00:22:23,159 Speaker 1: her to be able to have an independent living. 476 00:22:23,320 --> 00:22:24,959 Speaker 10: Where she wanted to be. So it could be at 477 00:22:24,960 --> 00:22:25,560 Speaker 10: that level. 478 00:22:25,920 --> 00:22:28,600 Speaker 1: Or it could be that you're buying their second home 479 00:22:28,640 --> 00:22:31,520 Speaker 1: on a really nice lake, or a new car, or 480 00:22:31,520 --> 00:22:33,840 Speaker 1: that they're trying to finance their kids' education. 481 00:22:33,960 --> 00:22:36,680 Speaker 10: So it really runs the gamut. So, but it's typically 482 00:22:36,680 --> 00:22:37,240 Speaker 10: someone I know. 483 00:22:37,440 --> 00:22:39,480 Speaker 1: I mean, usually I'm working with them face to face, 484 00:22:39,520 --> 00:22:42,560 Speaker 1: but it could be just a connection. Actually, last time 485 00:22:42,600 --> 00:22:43,960 Speaker 1: I was in New York City, there was a small 486 00:22:43,960 --> 00:22:45,960 Speaker 1: business customer I was connected with. I was trying to 487 00:22:46,000 --> 00:22:48,560 Speaker 1: sustain their small business. So it just happens, all three 488 00:22:48,600 --> 00:22:49,880 Speaker 1: connections and relationships. 489 00:22:50,040 --> 00:22:53,640 Speaker 5: How much are you seeing both between individuals and businesses 490 00:22:53,760 --> 00:22:56,199 Speaker 5: looking for any kind of loans right now? I imagine that 491 00:22:56,240 --> 00:22:59,199 Speaker 5: they're still probably pretty spooked by the interest rates that 492 00:22:59,200 --> 00:23:01,800 Speaker 5: are out there, maybe thinking oh rates are coming down, 493 00:23:01,840 --> 00:23:03,280 Speaker 5: can hold out a little bit longer. 494 00:23:03,400 --> 00:23:04,920 Speaker 6: Is that kind of the narrative right now? 495 00:23:05,040 --> 00:23:05,240 Speaker 7: Yeah? 496 00:23:05,240 --> 00:23:06,800 Speaker 1: I mean, but a lot of them are like, if 497 00:23:06,800 --> 00:23:09,520 Speaker 1: there are truck stops working, they need the truck now, 498 00:23:09,680 --> 00:23:11,840 Speaker 1: they can't wait, and so they're trying to figure out 499 00:23:11,840 --> 00:23:14,120 Speaker 1: how to I work away around this interest rate environment 500 00:23:14,200 --> 00:23:16,520 Speaker 1: to ensure that can still be profitable. So they're not 501 00:23:16,560 --> 00:23:19,159 Speaker 1: really playing like the markets like you may do at 502 00:23:19,200 --> 00:23:21,520 Speaker 1: a larger scale. They really are having to buy something 503 00:23:21,520 --> 00:23:23,520 Speaker 1: when they need it, but they are considering it as 504 00:23:23,960 --> 00:23:28,040 Speaker 1: I think about growing or expanding locations or scaling their businesses. 505 00:23:28,240 --> 00:23:29,400 Speaker 10: But many have adjusted to. 506 00:23:29,359 --> 00:23:31,880 Speaker 1: This rate environment and there's still a lot of demand 507 00:23:31,920 --> 00:23:34,080 Speaker 1: out there, and there's a lot of other cash sources 508 00:23:34,119 --> 00:23:39,000 Speaker 1: beyond loans still with private equity investors and other government 509 00:23:39,040 --> 00:23:41,639 Speaker 1: type of programs still available for small business to scale 510 00:23:41,640 --> 00:23:44,199 Speaker 1: without having necessarily get loans. So the raid environment then 511 00:23:44,240 --> 00:23:45,880 Speaker 1: it becomes a little bit less consequential. 512 00:23:46,200 --> 00:23:47,800 Speaker 6: Is there a lot of going on in the housing 513 00:23:47,800 --> 00:23:48,720 Speaker 6: market right there? 514 00:23:48,920 --> 00:23:49,160 Speaker 8: Wow? 515 00:23:49,240 --> 00:23:51,560 Speaker 1: The housing market I think is just tough everywhere. Supply 516 00:23:51,760 --> 00:23:54,200 Speaker 1: is just so limited, and you have those low rates 517 00:23:54,240 --> 00:23:57,040 Speaker 1: that people have in their mortgages keeping them from moving, 518 00:23:57,119 --> 00:23:59,760 Speaker 1: and then the cost of constructions. We didn't have transformers 519 00:23:59,760 --> 00:24:01,560 Speaker 1: of itailable forever, so they've may be able to bring 520 00:24:01,600 --> 00:24:04,680 Speaker 1: online developments and you didn't have a lot of availability 521 00:24:04,720 --> 00:24:06,720 Speaker 1: to be able to build. And so there's still some 522 00:24:06,800 --> 00:24:09,879 Speaker 1: supply hiccups, especially when you think about municipalities and a 523 00:24:09,920 --> 00:24:12,399 Speaker 1: lot of the infrastructure that's occurring that's taken away some 524 00:24:12,440 --> 00:24:15,159 Speaker 1: of the pavers and earth movers that would normally be 525 00:24:15,280 --> 00:24:18,960 Speaker 1: used to be able to provide greater development opportunities. 526 00:24:18,400 --> 00:24:20,200 Speaker 10: For one to four family loans. 527 00:24:20,440 --> 00:24:23,399 Speaker 3: Was during the pandemic, was Oklahoma City a city that 528 00:24:23,600 --> 00:24:25,760 Speaker 3: maybe gained population or lost population, goes to New York 529 00:24:25,800 --> 00:24:28,040 Speaker 3: City here everybody left, you know, and all went down 530 00:24:28,080 --> 00:24:29,040 Speaker 3: to Florida and so on. 531 00:24:29,160 --> 00:24:30,760 Speaker 10: Yeah, everybody's becoming in Oklahoma. 532 00:24:30,920 --> 00:24:33,000 Speaker 1: So it's like a reverse great Sir Wrath, you know 533 00:24:33,040 --> 00:24:35,679 Speaker 1: where how so many Californians coming in and so that 534 00:24:35,840 --> 00:24:39,320 Speaker 1: is putting prices, you know, some price pressure on one 535 00:24:39,359 --> 00:24:41,359 Speaker 1: to four family homes. But yeah, we have we are 536 00:24:41,400 --> 00:24:44,520 Speaker 1: a net gain and when it came to migration, both 537 00:24:44,960 --> 00:24:46,680 Speaker 1: during COVID and afterwards. 538 00:24:46,240 --> 00:24:49,840 Speaker 3: We're Norman, Oklahoma, home of the university. Oklahoma's right there. Yeah, 539 00:24:49,880 --> 00:24:51,159 Speaker 3: So is that where you guys get a lot like 540 00:24:51,200 --> 00:24:52,920 Speaker 3: your employees, if you need some employees to should hire 541 00:24:52,960 --> 00:24:53,320 Speaker 3: some graduates. 542 00:24:53,359 --> 00:24:56,919 Speaker 1: Community we're smacked between University of Oklahoma and Oklahoma State University, 543 00:24:56,960 --> 00:25:00,159 Speaker 1: and then the state's oldest institution, University of centralklahom It 544 00:25:00,200 --> 00:25:02,280 Speaker 1: is about two blocks away from the bank. Wow, our 545 00:25:02,320 --> 00:25:05,399 Speaker 1: bank helps secure the land prior to statehood for that 546 00:25:05,520 --> 00:25:06,440 Speaker 1: university to be built. 547 00:25:06,680 --> 00:25:08,280 Speaker 5: I would think that's got to be pretty good for 548 00:25:08,359 --> 00:25:10,040 Speaker 5: labor costs if you've got a whole lot of college 549 00:25:10,160 --> 00:25:11,000 Speaker 5: kids right around there. 550 00:25:11,080 --> 00:25:13,879 Speaker 1: Now, it helps with having that, but we also have 551 00:25:13,960 --> 00:25:17,040 Speaker 1: to compete against Texas, which is a growing market and recreuse. 552 00:25:17,400 --> 00:25:19,439 Speaker 1: More than half the students that are at the University 553 00:25:19,440 --> 00:25:22,560 Speaker 1: of Oklahoma from Texas. Yes, so we have to keep 554 00:25:22,560 --> 00:25:23,720 Speaker 1: them in Oklahoma so that. 555 00:25:23,760 --> 00:25:25,359 Speaker 6: We can better growing. 556 00:25:25,520 --> 00:25:25,720 Speaker 9: Yes. 557 00:25:25,920 --> 00:25:29,320 Speaker 5: I mean I went to Syracuse University. Obviously very different 558 00:25:29,520 --> 00:25:31,399 Speaker 5: climate than in Oklahoma. 559 00:25:31,359 --> 00:25:34,080 Speaker 6: But similar in the sense that they like. 560 00:25:34,200 --> 00:25:35,920 Speaker 5: A lot of the employers in the area would say, like, 561 00:25:36,000 --> 00:25:38,640 Speaker 5: the biggest struggle is that the graduates don't want to stay. 562 00:25:38,880 --> 00:25:40,800 Speaker 6: They want to go back to wherever they came from. 563 00:25:40,880 --> 00:25:42,760 Speaker 6: I imagine maybe that sounds like a little bit of 564 00:25:42,800 --> 00:25:43,440 Speaker 6: what you're talking about. 565 00:25:43,480 --> 00:25:45,239 Speaker 1: Yeah, we're much more successful now, and there's a lot 566 00:25:45,240 --> 00:25:47,879 Speaker 1: of regional institutions that in the rural communities that are 567 00:25:47,960 --> 00:25:49,359 Speaker 1: producing a lot great talent. 568 00:25:49,920 --> 00:25:51,920 Speaker 7: Jill, thank you so much for joining us. Jill Stee. 569 00:25:52,000 --> 00:25:55,480 Speaker 3: She's a president and CEO of Citizens Bank of Edmund, Oklahoma. 570 00:25:55,560 --> 00:25:57,800 Speaker 3: So for Ever and Edmund, I Google mapped that it's 571 00:25:58,040 --> 00:26:00,680 Speaker 3: basically part of the Oklahoma City metropley a little bit north, 572 00:26:01,000 --> 00:26:02,160 Speaker 3: but I mean everything's right there. 573 00:26:02,560 --> 00:26:04,840 Speaker 5: Yeah. So anyway, I mean, my brother and his friends 574 00:26:04,920 --> 00:26:08,240 Speaker 5: actually for a bachelor party just went to a football 575 00:26:08,280 --> 00:26:10,639 Speaker 5: game at Oklahoma, which was, like, I think, got'd be 576 00:26:10,720 --> 00:26:12,800 Speaker 5: one of the more fun ideas, you know, not doing 577 00:26:12,880 --> 00:26:14,800 Speaker 5: like the Vegas booze cruise scene, but going to a 578 00:26:14,840 --> 00:26:15,800 Speaker 5: college football game. 579 00:26:15,920 --> 00:26:18,600 Speaker 7: Yes, awesome, big big player, love that Oklahoma. 580 00:26:20,160 --> 00:26:24,000 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 581 00:26:24,119 --> 00:26:27,040 Speaker 2: weekdays at ten am Eastern on Apple car Play and 582 00:26:27,160 --> 00:26:30,400 Speaker 2: Android Auto with the Bloomberg Business. You can also listen 583 00:26:30,560 --> 00:26:33,640 Speaker 2: live on Amazon Alexa from our flagship New York station, 584 00:26:34,040 --> 00:26:36,760 Speaker 2: Just Say Alexa playing Bloomberg eleven thirty. 585 00:26:38,119 --> 00:26:40,040 Speaker 3: Let's break it down to the GM stuff with David 586 00:26:40,040 --> 00:26:42,800 Speaker 3: Welche's the Detroit Burea, chief of Bloomberg News. Hey, David 587 00:26:43,000 --> 00:26:45,320 Speaker 3: stocks up. Big market likes what they see. I guess 588 00:26:45,480 --> 00:26:47,240 Speaker 3: the world wants big trucks. 589 00:26:48,040 --> 00:26:51,480 Speaker 9: Big trucks, big SUVs. Yes they do, and and they're 590 00:26:51,520 --> 00:26:54,359 Speaker 9: selling them a huge prices. GM's average vehicle in the 591 00:26:54,400 --> 00:26:58,040 Speaker 9: quarter soldess sold for more than forty nine thousand dollars. 592 00:26:58,320 --> 00:27:02,840 Speaker 10: WOWW what happened to the the incentive thirty market vehicles? 593 00:27:02,880 --> 00:27:04,800 Speaker 7: Not even I mean wow, which is amazing. 594 00:27:04,960 --> 00:27:08,160 Speaker 3: I mean I got the Ford F one fifty electric 595 00:27:08,240 --> 00:27:10,320 Speaker 3: one Matt Miller got for me to test drive. 596 00:27:10,480 --> 00:27:12,280 Speaker 7: That was ninety four thousand dollars to the price. 597 00:27:12,600 --> 00:27:15,960 Speaker 3: So give it with What's what's GM saying these days 598 00:27:16,000 --> 00:27:19,640 Speaker 3: about how they're managing this transition to evs. 599 00:27:21,480 --> 00:27:24,240 Speaker 9: Look, there are sales in the quarter for evs. They 600 00:27:24,320 --> 00:27:27,960 Speaker 9: sold over thirty thousand of them, which by Tesla standards 601 00:27:28,040 --> 00:27:30,199 Speaker 9: not a big number, but it was enough to put 602 00:27:30,280 --> 00:27:32,760 Speaker 9: GM in second place in the US market EV sales. 603 00:27:33,600 --> 00:27:36,240 Speaker 9: The real story there is they're getting sales volume up, 604 00:27:36,640 --> 00:27:39,639 Speaker 9: which is a good thing, and that means they're getting 605 00:27:39,760 --> 00:27:42,160 Speaker 9: scale in their battery plants. The battery is the most 606 00:27:42,160 --> 00:27:45,040 Speaker 9: expensive part of the vehicle, and so they can start 607 00:27:45,040 --> 00:27:47,160 Speaker 9: to bring costs down. And they're saying that fourth quarter 608 00:27:47,280 --> 00:27:50,800 Speaker 9: and into next year they will be at be making 609 00:27:50,880 --> 00:27:53,919 Speaker 9: a variable profit on the vehicles, which means that if 610 00:27:53,960 --> 00:27:56,000 Speaker 9: you forget about all the fixed costs, the billions they've 611 00:27:56,040 --> 00:27:58,639 Speaker 9: invested in battery plans, forget about those vehicle plants and 612 00:27:58,640 --> 00:28:01,800 Speaker 9: all the engineering, they're making money. But look that it's 613 00:28:01,800 --> 00:28:04,720 Speaker 9: a step toward making money on vehicles that are pretty 614 00:28:04,760 --> 00:28:09,160 Speaker 9: expensive to produce. And you know, GM's gaining market share. 615 00:28:09,200 --> 00:28:16,840 Speaker 9: And the EV situation is very interesting because Tesla has 616 00:28:17,320 --> 00:28:21,840 Speaker 9: five models if you count the cyber truck for sale GM. 617 00:28:22,000 --> 00:28:23,440 Speaker 9: By the end and next year, by the end of 618 00:28:23,440 --> 00:28:25,000 Speaker 9: this year, they're going to have I think ten, and 619 00:28:25,080 --> 00:28:26,359 Speaker 9: by the end and next year they'll have about a 620 00:28:26,440 --> 00:28:29,960 Speaker 9: dozen different models. That's a lot of variety. It's also 621 00:28:30,000 --> 00:28:32,560 Speaker 9: a lot of production. So if the market for evs 622 00:28:32,680 --> 00:28:35,880 Speaker 9: continues to grow pretty nicely, GM will have the best 623 00:28:35,960 --> 00:28:37,879 Speaker 9: variety and a lot of production to be able to 624 00:28:37,920 --> 00:28:41,120 Speaker 9: get it, which is exactly what that the domestic producers 625 00:28:41,160 --> 00:28:44,960 Speaker 9: in China did to steal their home market away from GM, 626 00:28:45,040 --> 00:28:48,800 Speaker 9: Volksweg and Toyota, Ford, et cetera. It's a market doesn't 627 00:28:49,080 --> 00:28:52,000 Speaker 9: materialize and you know GM is going to probably have 628 00:28:52,120 --> 00:28:54,120 Speaker 9: to lay off a few workers in some of these 629 00:28:54,200 --> 00:28:54,800 Speaker 9: EV plans. 630 00:28:54,960 --> 00:28:56,040 Speaker 6: Yeah, maybe just a few. 631 00:28:56,160 --> 00:28:58,880 Speaker 5: I mean you're talking though about how GM was able 632 00:28:58,960 --> 00:29:01,400 Speaker 5: to sell a but like all these cars at these 633 00:29:01,440 --> 00:29:04,440 Speaker 5: above average prices. Is that true for the evy market 634 00:29:04,520 --> 00:29:06,440 Speaker 5: as well, or are we talking more gas powered there. 635 00:29:07,200 --> 00:29:10,200 Speaker 9: It's both because evs are pretty expensive. The difference though, 636 00:29:10,480 --> 00:29:12,120 Speaker 9: and this is where GM is starting to get a 637 00:29:12,160 --> 00:29:14,840 Speaker 9: lot of its electric vehicle growth, is they have an 638 00:29:14,880 --> 00:29:17,480 Speaker 9: electric version of the Chevy Equinox that starts at thirty 639 00:29:17,560 --> 00:29:21,720 Speaker 9: five thousand after government credit, it's about twenty seven and 640 00:29:21,800 --> 00:29:24,680 Speaker 9: a half. There are many vehicles for sale period of 641 00:29:24,720 --> 00:29:29,240 Speaker 9: any kind that run on anything, you know, alcohol, electricity, 642 00:29:30,600 --> 00:29:33,840 Speaker 9: a fusel earlier, you name it. But that self for 643 00:29:33,960 --> 00:29:37,640 Speaker 9: blow of thirty thousand dollars, so you know, and probably 644 00:29:37,680 --> 00:29:39,680 Speaker 9: most of them are selling for closer to forty before 645 00:29:39,720 --> 00:29:42,280 Speaker 9: the federal tax credit. So but that's a pretty cheap vehicle, 646 00:29:42,320 --> 00:29:45,560 Speaker 9: and they're getting a lot of growth there. But generally speaking, yeah, 647 00:29:45,920 --> 00:29:50,080 Speaker 9: Cadillac lyric expensive vehicle, even the Chevy Blazer, a lot 648 00:29:50,120 --> 00:29:52,000 Speaker 9: of those can go from more than fifty thousand. Then 649 00:29:52,040 --> 00:29:54,080 Speaker 9: you know that's an electric as well. They're pick up 650 00:29:54,160 --> 00:29:58,920 Speaker 9: certainly very expensive Silverado pickup in the GMCCRA pickup, and 651 00:29:59,120 --> 00:30:02,360 Speaker 9: the Hummers are well one hundred, so you know, these 652 00:30:02,360 --> 00:30:03,960 Speaker 9: are expensive vehicles for the most part. 653 00:30:05,600 --> 00:30:06,880 Speaker 7: All right, very good, David Welch. 654 00:30:06,960 --> 00:30:07,600 Speaker 10: We appreciate that. 655 00:30:07,720 --> 00:30:11,600 Speaker 3: David Welch, Detroit, Burachief for Bloomberg News, joining us from Detroit. 656 00:30:11,840 --> 00:30:14,440 Speaker 3: And again I was looking at the stock of you know, 657 00:30:15,040 --> 00:30:17,920 Speaker 3: GM at fifty two week high today, just a really 658 00:30:18,960 --> 00:30:21,240 Speaker 3: nice move. Stocks up about eight percent and change. It's 659 00:30:21,320 --> 00:30:23,720 Speaker 3: up about close to forty eight percent. 660 00:30:23,600 --> 00:30:24,320 Speaker 7: Year to date. 661 00:30:24,960 --> 00:30:27,480 Speaker 3: Whereas you look at General Motors, I'm sorry you look 662 00:30:27,480 --> 00:30:30,080 Speaker 3: at Ford year to data sucks down ten ten percent. 663 00:30:30,360 --> 00:30:33,040 Speaker 5: I think the more amazing thing here is that David 664 00:30:33,200 --> 00:30:35,400 Speaker 5: was talking about is how they've been able to sell 665 00:30:35,520 --> 00:30:38,560 Speaker 5: at all these above average prices. I mean, the story 666 00:30:38,720 --> 00:30:41,680 Speaker 5: of the car market lately has been incentives and markdowns, 667 00:30:42,000 --> 00:30:44,600 Speaker 5: you know, and especially with like auto loans being as 668 00:30:44,680 --> 00:30:46,840 Speaker 5: expensive as they are, how they're able to do this 669 00:30:46,960 --> 00:30:47,760 Speaker 5: is remarkable to me. 670 00:30:48,160 --> 00:30:50,360 Speaker 3: Yeah, and I remember talking to Kevin Tynan, who was 671 00:30:50,360 --> 00:30:52,560 Speaker 3: the auto analyst of Bloomberg Intelligence for many years, and 672 00:30:52,640 --> 00:30:55,480 Speaker 3: he just said, listen, they make so much money with 673 00:30:55,600 --> 00:30:58,680 Speaker 3: these crossovers, SUVs, trucks, whatever you want to call them. Literally, 674 00:30:58,760 --> 00:31:02,440 Speaker 3: on a perdutive basis there so profitable that the incentive 675 00:31:02,520 --> 00:31:05,160 Speaker 3: to switch over to EV's is just isn't there, and 676 00:31:05,240 --> 00:31:08,480 Speaker 3: they're not going to do it until the economics makes sense. 677 00:31:09,160 --> 00:31:11,760 Speaker 6: So you're saying, as GM or as a customer, to 678 00:31:11,800 --> 00:31:12,160 Speaker 6: sweat no. 679 00:31:12,400 --> 00:31:15,240 Speaker 3: As GM said, automakers they're so incentive to make these 680 00:31:15,280 --> 00:31:18,440 Speaker 3: big trucks because they sell them and they're very profitable 681 00:31:18,480 --> 00:31:21,000 Speaker 3: to the highest profit margin products they have. So the 682 00:31:21,720 --> 00:31:24,960 Speaker 3: US auto companies have very little financial incentive, economic incentive 683 00:31:25,440 --> 00:31:28,320 Speaker 3: they switched to evs. Now it's the government's gonna, you know, 684 00:31:28,480 --> 00:31:30,520 Speaker 3: incentivize you to do so or force you to do so. 685 00:31:30,600 --> 00:31:32,280 Speaker 7: Well, that's another whole thing. 686 00:31:32,360 --> 00:31:34,920 Speaker 3: But I think as most auto investors, they were just concerned, 687 00:31:34,960 --> 00:31:37,720 Speaker 3: do I want to own a company where you know, 688 00:31:37,800 --> 00:31:40,640 Speaker 3: their incentives are not really aligned with maximizing profits. 689 00:31:40,680 --> 00:31:41,400 Speaker 7: So often see. 690 00:31:42,880 --> 00:31:46,720 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 691 00:31:46,840 --> 00:31:50,360 Speaker 2: weekdays at ten am Eastern on applecar Play and Android 692 00:31:50,400 --> 00:31:53,120 Speaker 2: Auto with the Bloomberg Business App. You can also listen 693 00:31:53,280 --> 00:31:56,360 Speaker 2: live on Amazon Alexa from our flagship New York station 694 00:31:56,760 --> 00:31:59,480 Speaker 2: Just Say Alexa, playing Bloomberg eleven thirty. 695 00:32:00,800 --> 00:32:01,440 Speaker 7: Let's switch gears. 696 00:32:01,520 --> 00:32:03,719 Speaker 3: Let's talk about real estate, commercial real estate. We love 697 00:32:03,720 --> 00:32:05,320 Speaker 3: to talk about commercial real estate because I have no 698 00:32:05,440 --> 00:32:07,640 Speaker 3: idea what's going on. I know I've made the mistake 699 00:32:07,640 --> 00:32:09,680 Speaker 3: in the past thinking commercial real estate's office, but that's 700 00:32:09,720 --> 00:32:11,800 Speaker 3: only like three and a half percent of readesks to talk. 701 00:32:11,720 --> 00:32:12,440 Speaker 11: About the malls. 702 00:32:12,560 --> 00:32:12,760 Speaker 7: I know. 703 00:32:12,960 --> 00:32:15,280 Speaker 3: I know Rich Hill, he joins us. He's had of 704 00:32:15,320 --> 00:32:18,560 Speaker 3: real estate strategy and research at Cohen and Steers. Before that, 705 00:32:18,680 --> 00:32:20,440 Speaker 3: he was at Morgan Stanley with all those other Morgan 706 00:32:20,480 --> 00:32:23,080 Speaker 3: Stanley real estate crazy people, which they just have owned 707 00:32:23,120 --> 00:32:26,240 Speaker 3: real estate across Wall Street my entire career at Ward Stanley. 708 00:32:26,320 --> 00:32:28,240 Speaker 3: So those are the folks that get it done. Rich 709 00:32:28,280 --> 00:32:29,920 Speaker 3: thanks so much for joining us here in our studio. 710 00:32:30,760 --> 00:32:33,040 Speaker 3: I mean, where do you go in commercial real estate today? 711 00:32:33,040 --> 00:32:34,360 Speaker 7: I know there are different silos. 712 00:32:34,960 --> 00:32:37,040 Speaker 3: Where do you guys think the best opportunities are these days? 713 00:32:37,120 --> 00:32:37,720 Speaker 7: Yeah, maybe we. 714 00:32:37,720 --> 00:32:41,120 Speaker 11: Can just take a step back. It has been a 715 00:32:41,280 --> 00:32:45,240 Speaker 11: really tough two years for commercial real estate, but we 716 00:32:45,480 --> 00:32:49,200 Speaker 11: think the market is finally in the process of bottoming. 717 00:32:49,960 --> 00:32:53,400 Speaker 11: There's been three price in disease that we follow pretty closely, 718 00:32:53,600 --> 00:32:56,440 Speaker 11: all of which showed increases for the first time in 719 00:32:56,480 --> 00:33:00,360 Speaker 11: more than two years in recent months. So valuations down 720 00:33:00,960 --> 00:33:04,280 Speaker 11: more than twenty percent, and that doesn't happen very often. 721 00:33:04,520 --> 00:33:06,640 Speaker 11: You go back to the early nineteen nineties in the GFC, 722 00:33:07,120 --> 00:33:10,480 Speaker 11: those are the only two times evaluations have fallen. So 723 00:33:10,800 --> 00:33:14,200 Speaker 11: it's getting people pretty excited again. I will note, though, 724 00:33:14,280 --> 00:33:16,880 Speaker 11: before I talk about the opportunities, we think the cycles 725 00:33:17,000 --> 00:33:19,400 Speaker 11: playing out sort of in textbook fashion. What do I 726 00:33:19,480 --> 00:33:22,640 Speaker 11: mean by that? Well, list it reached trough first, they 727 00:33:22,720 --> 00:33:26,400 Speaker 11: troughed about a year ago. Then private valuations trough twelve 728 00:33:26,440 --> 00:33:29,160 Speaker 11: months later. But there's a really important point here. See 729 00:33:29,200 --> 00:33:32,520 Speaker 11: our debt distress. So distress in the debt markets doesn't 730 00:33:32,560 --> 00:33:35,280 Speaker 11: peak out for twelve to twenty four months after property 731 00:33:35,320 --> 00:33:38,760 Speaker 11: valuations trough out, So the headlines are actually going to 732 00:33:38,800 --> 00:33:40,640 Speaker 11: get worse before they get better. You're going to be 733 00:33:40,680 --> 00:33:44,840 Speaker 11: talking about office valuations being down, borrowers given the keys 734 00:33:44,880 --> 00:33:48,000 Speaker 11: back to lender. That's what happens at this point in 735 00:33:48,040 --> 00:33:48,480 Speaker 11: the cycle. 736 00:33:49,080 --> 00:33:51,560 Speaker 5: So what if you're looking at valuations bottoming but you 737 00:33:51,720 --> 00:33:53,560 Speaker 5: know that this distress is still going to be coming. 738 00:33:53,600 --> 00:33:56,120 Speaker 5: That's still got to be a really tricky position. If 739 00:33:56,160 --> 00:33:59,880 Speaker 5: the equity valuation is maybe looking more appealing, but you're 740 00:34:00,000 --> 00:34:02,160 Speaker 5: worried about the death side coming back to bite you. 741 00:34:02,560 --> 00:34:06,760 Speaker 11: Yeah, so commercial real estates inherently elever a class. What 742 00:34:06,880 --> 00:34:08,920 Speaker 11: do I mean by that, Well, there's very few people 743 00:34:08,960 --> 00:34:11,160 Speaker 11: that buy a property and don't put some level of 744 00:34:11,239 --> 00:34:13,800 Speaker 11: debt on it. So the availability of debt and the 745 00:34:13,920 --> 00:34:18,000 Speaker 11: cost of debt is super super important. We are beginning 746 00:34:18,080 --> 00:34:21,600 Speaker 11: to see signs of thawing in the debt markets. I'm 747 00:34:21,640 --> 00:34:23,560 Speaker 11: gonna get really wonky here for a second, but we 748 00:34:23,640 --> 00:34:27,040 Speaker 11: follow something called the Senior Loan Officer Opinion Survey quarterly. 749 00:34:26,920 --> 00:34:31,920 Speaker 6: Sur We love that survey. We don't have to call 750 00:34:32,000 --> 00:34:32,319 Speaker 6: this loose. 751 00:34:32,600 --> 00:34:33,439 Speaker 11: I do too loose. 752 00:34:33,520 --> 00:34:37,320 Speaker 6: On the loose, I'm sorry, this is the place to 753 00:34:37,360 --> 00:34:37,920 Speaker 6: go wonky go. 754 00:34:38,080 --> 00:34:38,279 Speaker 2: Yeah. 755 00:34:38,920 --> 00:34:43,160 Speaker 11: So, look, what we've seen is that that metric is 756 00:34:43,239 --> 00:34:45,680 Speaker 11: turning less bad, and it has been for several quarters 757 00:34:45,760 --> 00:34:48,879 Speaker 11: right now. The last observation, it's set around twenty five 758 00:34:48,920 --> 00:34:51,439 Speaker 11: percent of lenders or tightening lending standards. That still sounds 759 00:34:51,520 --> 00:34:54,080 Speaker 11: like a lot, but at the tightness of the market 760 00:34:54,160 --> 00:34:55,600 Speaker 11: it was almost seventy. 761 00:34:55,320 --> 00:34:57,400 Speaker 6: Percent, So it's entering SVB. 762 00:34:59,040 --> 00:35:03,400 Speaker 11: Shortly on the heels of SPHEEDBA. Lenders get more conservative 763 00:35:03,440 --> 00:35:05,880 Speaker 11: on the heels of things like that, So we are 764 00:35:05,960 --> 00:35:07,439 Speaker 11: seeing things turn less bad. 765 00:35:08,160 --> 00:35:08,719 Speaker 7: Believe it or not. 766 00:35:08,960 --> 00:35:11,680 Speaker 11: One of the largest CMBs deals that has been done 767 00:35:11,719 --> 00:35:14,160 Speaker 11: in quite some time. A three billion dollar deal by 768 00:35:14,200 --> 00:35:16,560 Speaker 11: the way back by a New York City office building 769 00:35:17,000 --> 00:35:19,640 Speaker 11: was just done last week. So things are beginning to 770 00:35:19,760 --> 00:35:23,120 Speaker 11: thaw here a little bit, which I think is a 771 00:35:23,200 --> 00:35:25,040 Speaker 11: sign of why the market's beginning to bottom. 772 00:35:25,760 --> 00:35:28,880 Speaker 3: Warehouses and stuff like that. That's the one that's been 773 00:35:28,960 --> 00:35:31,279 Speaker 3: ripping over the last several years. Has that played out? 774 00:35:31,320 --> 00:35:32,600 Speaker 3: I mean, do you see where do you find. 775 00:35:32,520 --> 00:35:33,120 Speaker 7: Value these days? 776 00:35:33,160 --> 00:35:36,719 Speaker 11: So here's here's a remarkable statistic that no one believes me. 777 00:35:37,320 --> 00:35:40,760 Speaker 11: Industrial rates or warehouse rates are the worst performing sector 778 00:35:40,960 --> 00:35:44,360 Speaker 11: of listed roats this year. They're down around four percent 779 00:35:44,480 --> 00:35:48,120 Speaker 11: or so, almost five percent probably as of today, while 780 00:35:48,160 --> 00:35:50,040 Speaker 11: the market is up more than ten percent, the listed 781 00:35:50,080 --> 00:35:53,359 Speaker 11: remark is up ten percent. Why is that happening? Well, 782 00:35:54,120 --> 00:35:56,440 Speaker 11: what the market's telling you, well the public markets are 783 00:35:56,480 --> 00:35:59,279 Speaker 11: telling you, is that long term growth is going to 784 00:35:59,360 --> 00:36:02,959 Speaker 11: mean reverted. So this is an asset class that has really, 785 00:36:03,040 --> 00:36:05,720 Speaker 11: really strong fundamentals. We think it's a great asset class. 786 00:36:06,120 --> 00:36:09,080 Speaker 11: But guess what commercial real estate developers do in a 787 00:36:09,160 --> 00:36:11,839 Speaker 11: market like that, They build new supply. So we think 788 00:36:11,880 --> 00:36:14,640 Speaker 11: supply for such demand is going to equiliberate over time, 789 00:36:14,719 --> 00:36:17,640 Speaker 11: and that will bring long term growth down. And that's 790 00:36:17,680 --> 00:36:20,120 Speaker 11: exactly what the list of remarket's telling you about. So 791 00:36:21,360 --> 00:36:22,840 Speaker 11: that's a long way of saying, we don't think the 792 00:36:22,920 --> 00:36:26,200 Speaker 11: past cycle winners are going to be the next cycle winners. 793 00:36:26,680 --> 00:36:28,640 Speaker 6: How about the office space right now? How would you 794 00:36:28,719 --> 00:36:29,200 Speaker 6: describe that? 795 00:36:30,760 --> 00:36:35,880 Speaker 11: Still challenged, but it's starting to get maybe a little 796 00:36:35,920 --> 00:36:38,839 Speaker 11: bit interesting. I was in the Pacific Northwest last week 797 00:36:39,200 --> 00:36:41,800 Speaker 11: and client asked me, what do you think you're what 798 00:36:41,880 --> 00:36:43,719 Speaker 11: do you think the best performing asset types are going 799 00:36:43,800 --> 00:36:45,960 Speaker 11: to be over the next ten years? And I told 800 00:36:46,000 --> 00:36:47,680 Speaker 11: them I was like, I sort of want to put 801 00:36:47,800 --> 00:36:50,480 Speaker 11: office at the top of that list. The problem is 802 00:36:51,200 --> 00:36:53,160 Speaker 11: it might go lower before it goes higher. I don't 803 00:36:53,160 --> 00:36:55,279 Speaker 11: know if it's a good entry point today, tomorrow, next week, 804 00:36:55,360 --> 00:36:58,399 Speaker 11: or next year. But valuations are starting to get really, really, 805 00:36:58,480 --> 00:37:02,840 Speaker 11: really interesting. I'll give you three green shoots that we 806 00:37:03,000 --> 00:37:08,520 Speaker 11: look at. First family offices, ultra high worth family offices 807 00:37:08,560 --> 00:37:10,640 Speaker 11: that can take more than a ten year view, like 808 00:37:10,680 --> 00:37:13,160 Speaker 11: one hundred year of view are beginning to step in 809 00:37:13,640 --> 00:37:17,160 Speaker 11: and buy office properties because the basis is so attractive. 810 00:37:17,239 --> 00:37:20,160 Speaker 11: They haven't seen the basis like that in decades and decades. 811 00:37:20,440 --> 00:37:22,759 Speaker 11: So that's point number one point number two. I just 812 00:37:22,800 --> 00:37:25,239 Speaker 11: talked about how industrial reads or the second or the 813 00:37:25,320 --> 00:37:28,440 Speaker 11: worst beforming sector of listed reads this year. Guess what 814 00:37:28,719 --> 00:37:32,160 Speaker 11: office is the second best? So the market has sort 815 00:37:32,200 --> 00:37:33,640 Speaker 11: of brought them back from the dead. And then I 816 00:37:33,719 --> 00:37:36,160 Speaker 11: talked about the green shoots that we're starting to see 817 00:37:36,480 --> 00:37:39,440 Speaker 11: very selectively in the lending markets for office. So we're 818 00:37:39,480 --> 00:37:42,400 Speaker 11: still cautious, but I think there's going to come a 819 00:37:42,480 --> 00:37:45,880 Speaker 11: time pretty soon, and I say pretty soon call it 820 00:37:46,000 --> 00:37:48,920 Speaker 11: next twelve to twenty four months where you're going to 821 00:37:49,000 --> 00:37:51,400 Speaker 11: look back and you're gonna say, hey, I wish I 822 00:37:51,400 --> 00:37:53,680 Speaker 11: would have stepped in because it was a really good 823 00:37:53,719 --> 00:37:55,640 Speaker 11: buying opportunity. It's a long way of saying someone's going 824 00:37:55,680 --> 00:37:56,399 Speaker 11: to make a ton of money. 825 00:37:56,520 --> 00:37:56,719 Speaker 2: Yeah. 826 00:37:56,760 --> 00:37:57,200 Speaker 7: Absolutely. 827 00:37:57,200 --> 00:38:01,400 Speaker 3: I mean my personal barometers, just like anything on Third Avenue. 828 00:38:01,440 --> 00:38:03,200 Speaker 3: When I see like the Lipstick building or something like 829 00:38:03,280 --> 00:38:05,680 Speaker 3: that trade at forty cents on the dollar or something, 830 00:38:05,719 --> 00:38:06,640 Speaker 3: I was saying, that's the boss. 831 00:38:06,719 --> 00:38:08,160 Speaker 6: What with the wolfgangs? Are you kidding? 832 00:38:08,200 --> 00:38:10,480 Speaker 7: I don't know, think about this, think about this. 833 00:38:10,560 --> 00:38:12,120 Speaker 11: Are you adding to bet against New York City? 834 00:38:12,520 --> 00:38:12,680 Speaker 7: Yeah? 835 00:38:13,160 --> 00:38:14,640 Speaker 3: I don't know what hard press to do that way 836 00:38:14,640 --> 00:38:16,920 Speaker 3: we've seen that we've seen that movie before. Richell, thank 837 00:38:16,960 --> 00:38:19,520 Speaker 3: you so much for joining us here in our studio. Richell, 838 00:38:19,719 --> 00:38:22,160 Speaker 3: he's head of real estate strategy and Research at Cohen 839 00:38:22,600 --> 00:38:22,960 Speaker 3: and Steers. 840 00:38:23,040 --> 00:38:25,000 Speaker 7: Joining us here on our Bloomberg Interrupt approp for Studio. 841 00:38:25,239 --> 00:38:29,759 Speaker 2: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 842 00:38:29,960 --> 00:38:32,839 Speaker 2: and anywhere else you will get your podcasts. Listen live 843 00:38:32,960 --> 00:38:36,319 Speaker 2: each weekday, ten am to noon Eastern on Bloomberg dot com, 844 00:38:36,640 --> 00:38:40,000 Speaker 2: b iHeart Radio app, tune In, and the Bloomberg Business App. 845 00:38:40,160 --> 00:38:43,160 Speaker 2: You can also watch us live every weekday on YouTube 846 00:38:43,400 --> 00:38:45,120 Speaker 2: and always on the Bloomberg Journal