1 00:00:00,080 --> 00:00:12,960 Speaker 1: Yeah, Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keene 2 00:00:13,480 --> 00:00:17,560 Speaker 1: Jay Ley. We bring you insight from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,520 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,600 --> 00:00:32,320 Speaker 1: Bloomberg dot Com, and of course on the Bloomberg Joint. 5 00:00:32,320 --> 00:00:33,960 Speaker 1: To us here in New York City, I'm ready pleased 6 00:00:33,960 --> 00:00:38,040 Speaker 1: to say Peter Hooper dropping by Deutsche Banks Securities Chief Economists. 7 00:00:38,040 --> 00:00:41,160 Speaker 1: Good morning to Peter. Good morning Jonathan, great to catch 8 00:00:41,240 --> 00:00:43,720 Speaker 1: up with you want today that global risk appetite appears 9 00:00:43,800 --> 00:00:45,839 Speaker 1: to be returning. Are you confident that this has got 10 00:00:45,880 --> 00:00:49,360 Speaker 1: some fundamental underpinnings. Well, John, I think there's several things 11 00:00:50,280 --> 00:00:53,400 Speaker 1: at work here. One is, uh, you know, the the 12 00:00:53,479 --> 00:00:58,040 Speaker 1: economy continues to tourtal along at three plus and recession 13 00:00:58,840 --> 00:01:01,600 Speaker 1: people were concerned about near term reception risk. Those are receding. 14 00:01:02,360 --> 00:01:04,160 Speaker 1: We put out a PC yesterday saying that there's a 15 00:01:04,160 --> 00:01:06,520 Speaker 1: good chance at pal FED can achieve history here by 16 00:01:06,560 --> 00:01:11,520 Speaker 1: avoiding a recession altogether. As you look into one, uh 17 00:01:11,600 --> 00:01:14,320 Speaker 1: that that view could be having a bit of effect, 18 00:01:14,360 --> 00:01:18,800 Speaker 1: And I think developments on the trade front probably overall 19 00:01:18,920 --> 00:01:22,800 Speaker 1: a bit more positive. Certainly we're avoiding. Uh, it looks 20 00:01:22,840 --> 00:01:27,080 Speaker 1: like we're avoiding a major trade war over NAFTA with Europe, 21 00:01:27,640 --> 00:01:30,039 Speaker 1: and the Trump administration is pushing hard in the one 22 00:01:30,080 --> 00:01:33,960 Speaker 1: area where there is a lot of bipartisan support because 23 00:01:34,000 --> 00:01:37,040 Speaker 1: of each China. That's too much optimism for Friday morning, right, 24 00:01:37,920 --> 00:01:39,880 Speaker 1: that's all gloom and doom Frinday. I mean, I'm waiting 25 00:01:39,880 --> 00:01:46,960 Speaker 1: to go to cash. I mean, this is way do 26 00:01:46,959 --> 00:01:49,400 Speaker 1: we allow this much optimism when we can allow it, 27 00:01:49,440 --> 00:01:51,000 Speaker 1: We can allow it on a week where we've had 28 00:01:51,080 --> 00:01:54,960 Speaker 1: that twenty five different economists talk about it downtown itxactly. 29 00:01:55,280 --> 00:01:57,600 Speaker 1: You think it's different this time that you dare not 30 00:01:57,760 --> 00:01:59,840 Speaker 1: right to in the pace that it's different this time. 31 00:02:00,160 --> 00:02:02,400 Speaker 1: Tell me why it might be different this time. Well, 32 00:02:02,440 --> 00:02:04,840 Speaker 1: we did actually put those words in the piece, uh, 33 00:02:05,000 --> 00:02:09,720 Speaker 1: somewhat sheepishly. But it is different this time because you 34 00:02:09,760 --> 00:02:13,359 Speaker 1: look at every recession we've had since the late nineteen forties, 35 00:02:14,080 --> 00:02:17,000 Speaker 1: it's been a tight labor market and the FED tightening, 36 00:02:17,000 --> 00:02:20,200 Speaker 1: but almost all of them have also been accompanied by 37 00:02:20,360 --> 00:02:25,120 Speaker 1: a major investment overhang, overbuilding and housing, overbuilding and business 38 00:02:25,160 --> 00:02:29,040 Speaker 1: equipment and structures. That's not there this time. I mean, 39 00:02:29,040 --> 00:02:32,200 Speaker 1: this is that's what usually when when the FED starts 40 00:02:32,200 --> 00:02:35,040 Speaker 1: to tighten, that's that's that kind of spending collapses and 41 00:02:35,080 --> 00:02:37,880 Speaker 1: pushes you into recession. We don't have it. It's been 42 00:02:37,880 --> 00:02:45,639 Speaker 1: a very slow gradual recovery. Housing vacancies are all all 43 00:02:45,720 --> 00:02:48,120 Speaker 1: time highs, I mean all time lows. Excuse me, housing 44 00:02:48,200 --> 00:02:52,360 Speaker 1: market quite tight. Uh. And no one says business capital 45 00:02:52,400 --> 00:02:55,679 Speaker 1: has been booming this time around. Productivity growth still near 46 00:02:55,760 --> 00:02:58,280 Speaker 1: historic lows. Uh. We we have a long ways to 47 00:02:58,320 --> 00:03:01,280 Speaker 1: go there. So I think the Fed have some some 48 00:03:01,280 --> 00:03:03,079 Speaker 1: some things going for it. So let's set up the 49 00:03:03,120 --> 00:03:04,959 Speaker 1: framework for the way you think about things. Right now. 50 00:03:05,120 --> 00:03:07,280 Speaker 1: Most of the people that come on this program look 51 00:03:07,280 --> 00:03:09,560 Speaker 1: at four percent GDP growth and they say, yeah, great, 52 00:03:09,720 --> 00:03:13,600 Speaker 1: But in we're heading for a recession potentially, you're saying 53 00:03:13,639 --> 00:03:15,760 Speaker 1: we could come short of that, we could be doing okay, 54 00:03:16,000 --> 00:03:18,680 Speaker 1: and that this time could be different. Typically, and I 55 00:03:18,720 --> 00:03:21,360 Speaker 1: can't think of one historical example of whether the Federal 56 00:03:21,360 --> 00:03:25,960 Speaker 1: Reserve is engineered a soft landing. Can you know? It 57 00:03:26,000 --> 00:03:28,919 Speaker 1: hasn't happened before, But I think they have it. They 58 00:03:28,919 --> 00:03:30,880 Speaker 1: have a chance this time. They do have to have 59 00:03:30,919 --> 00:03:33,880 Speaker 1: a slowdown. We have to have a growth go below potential. 60 00:03:33,919 --> 00:03:36,520 Speaker 1: It's got a drop below two percent, and we think 61 00:03:36,560 --> 00:03:39,360 Speaker 1: it probably will be somewhere in the one one and 62 00:03:39,400 --> 00:03:41,680 Speaker 1: a half percent range in twenty twenty. It will be 63 00:03:41,720 --> 00:03:44,120 Speaker 1: a noticeable slow but it doesn't have to be a 64 00:03:44,160 --> 00:03:47,800 Speaker 1: recession because you don't have that normal cyclical spending over 65 00:03:47,840 --> 00:03:51,520 Speaker 1: spending which drives you down in place. We interrupt now. 66 00:03:51,600 --> 00:03:54,160 Speaker 1: Jeffrey Frankel out with a great essay which I put 67 00:03:54,160 --> 00:03:58,400 Speaker 1: out on Project Syndicate on China the President in Trade. 68 00:03:58,480 --> 00:04:01,080 Speaker 1: He wrote an essay years ago I believe for M B. E. R. 69 00:04:01,840 --> 00:04:05,720 Speaker 1: Dr Hooper about defining a recession and the I can 70 00:04:05,760 --> 00:04:09,080 Speaker 1: we review. We haven't done this, John in Ages. But 71 00:04:09,680 --> 00:04:12,640 Speaker 1: you know, the cannon is a recession is two negative 72 00:04:12,640 --> 00:04:16,040 Speaker 1: GDP quarters And guys like you and Professor Frankel say, no, 73 00:04:16,240 --> 00:04:21,039 Speaker 1: it isn't. It's more subtle than that. What's a recession? Well, 74 00:04:21,839 --> 00:04:24,560 Speaker 1: a recession, you know, I'll go with a two negative 75 00:04:24,960 --> 00:04:29,200 Speaker 1: quarters in GDP. That's that's not a bad proxy. Labor. 76 00:04:29,839 --> 00:04:32,760 Speaker 1: Labor comes in here as well. You have to have 77 00:04:32,800 --> 00:04:37,320 Speaker 1: a significant increase in unemployment, a probably a fairly sharp one. 78 00:04:37,400 --> 00:04:42,560 Speaker 1: Typically labor market overshoots unemployment going well below the rout 79 00:04:42,839 --> 00:04:46,919 Speaker 1: and then zooms up in a relatively brief period. Going back, 80 00:04:47,640 --> 00:04:49,840 Speaker 1: we think this this zoom up can be a more 81 00:04:49,880 --> 00:04:53,760 Speaker 1: gradual process. We could think slow down, uh with with 82 00:04:53,839 --> 00:04:56,359 Speaker 1: a with a return to nehru over a couple of years, 83 00:04:56,360 --> 00:04:59,960 Speaker 1: can do it without going into a deep downturn and recess. 84 00:05:00,480 --> 00:05:05,760 Speaker 1: Where neighbor neighbor neighbor the non accelerating rate of unemployment, 85 00:05:06,680 --> 00:05:09,760 Speaker 1: no one else does wise it is it is. It 86 00:05:09,880 --> 00:05:12,920 Speaker 1: is exactly four point three five Now you know, it's 87 00:05:12,960 --> 00:05:15,280 Speaker 1: somewhere in the four and a quarter four and a 88 00:05:15,320 --> 00:05:18,800 Speaker 1: half percent range. The latest official number put out by 89 00:05:18,880 --> 00:05:21,400 Speaker 1: Congratual Budget Office I think was four or six. I 90 00:05:21,400 --> 00:05:25,000 Speaker 1: think you look at the f M CUM indications where 91 00:05:25,080 --> 00:05:28,760 Speaker 1: long run unemployment is longer term, it's it's four five 92 00:05:28,920 --> 00:05:30,960 Speaker 1: for four. I think probably we'll see it come down 93 00:05:31,000 --> 00:05:33,400 Speaker 1: a little bit next week to four or four. What 94 00:05:33,480 --> 00:05:35,760 Speaker 1: are the signs that we've gone through it? What are 95 00:05:35,800 --> 00:05:38,440 Speaker 1: the signs we've gone through it? Well? We are seeing 96 00:05:38,960 --> 00:05:42,880 Speaker 1: we are seeing a gradual uptrend in wage inflation. Now, 97 00:05:43,080 --> 00:05:46,719 Speaker 1: both the average hourly earnings and employment cost index, which 98 00:05:47,240 --> 00:05:49,520 Speaker 1: several years ago we're around one and a half percent, 99 00:05:49,600 --> 00:05:52,160 Speaker 1: have now gotten up close to three percent. It's been 100 00:05:52,200 --> 00:05:55,560 Speaker 1: a fairly steady march up as the labor market is tightened. 101 00:05:55,880 --> 00:05:58,520 Speaker 1: I think that's probably the best indicator. How do you 102 00:05:58,560 --> 00:06:01,880 Speaker 1: respond to yields? You wrote an important piece at Jorga 103 00:06:01,920 --> 00:06:04,599 Speaker 1: Bank earlier this summer on the yield curve. You told 104 00:06:04,640 --> 00:06:08,159 Speaker 1: everybody to calm down. But but in general, the yield 105 00:06:08,279 --> 00:06:10,719 Speaker 1: lift of the past ten days, how do you respond 106 00:06:10,720 --> 00:06:14,160 Speaker 1: to that? Uh, I'm saying, well, it's finally happening. We've 107 00:06:14,200 --> 00:06:17,520 Speaker 1: been expecting this for some time. We wouldn't be surprised 108 00:06:17,560 --> 00:06:20,640 Speaker 1: to see a ten year Ye'll get up somewhere closer 109 00:06:20,720 --> 00:06:23,480 Speaker 1: to three and a half percent by late next late 110 00:06:23,520 --> 00:06:27,040 Speaker 1: this year, early next year. Our our senses the economy 111 00:06:27,040 --> 00:06:30,640 Speaker 1: has a lot of momentum, the labor markets continuing to tighten. 112 00:06:31,360 --> 00:06:34,200 Speaker 1: Wage inflation has been rising price inflations back to where 113 00:06:34,200 --> 00:06:37,640 Speaker 1: the Fed wants it, and it's likely to overshoot a bit. 114 00:06:38,160 --> 00:06:40,400 Speaker 1: This is a recipe for the Fed to continue on 115 00:06:40,480 --> 00:06:43,320 Speaker 1: this gradual piece of right hikes. It doesn't make sense 116 00:06:43,400 --> 00:06:48,640 Speaker 1: that the tenure would would remain unchanged in this in 117 00:06:48,680 --> 00:06:53,320 Speaker 1: this environment until it looks like we're going into a slowdown, 118 00:06:53,360 --> 00:06:54,880 Speaker 1: and we don't think that will happen to the latter 119 00:06:54,880 --> 00:06:56,719 Speaker 1: part of next year. I think most people would agree 120 00:06:56,760 --> 00:06:58,400 Speaker 1: with that sentiment as well. Paid when I think what's 121 00:06:58,400 --> 00:07:01,159 Speaker 1: interesting about this week as a global risk appetite has 122 00:07:01,200 --> 00:07:04,520 Speaker 1: returned on a week where treasury yields half grinded higher. 123 00:07:04,560 --> 00:07:06,839 Speaker 1: We're sitting in Japan this morning as well. With jgbs 124 00:07:06,839 --> 00:07:08,920 Speaker 1: at the long end, you would started to drift high too. 125 00:07:08,920 --> 00:07:11,360 Speaker 1: I think we've got twenty eighteen heights in the Japanese 126 00:07:11,400 --> 00:07:14,080 Speaker 1: bond market in terms of yield. Do you think the 127 00:07:14,120 --> 00:07:17,600 Speaker 1: economy can withstand high treasury yields because so far it's 128 00:07:17,600 --> 00:07:23,280 Speaker 1: done absolutely fine. Oh, absolutely yes, I think you know. Uh. 129 00:07:23,640 --> 00:07:27,440 Speaker 1: I think the key issue here is when interest sensitive 130 00:07:27,440 --> 00:07:32,040 Speaker 1: spending globally interesting spending, the sensitive to US interest rates 131 00:07:32,040 --> 00:07:36,680 Speaker 1: globally begins to have complain I don't think it's until 132 00:07:36,720 --> 00:07:39,440 Speaker 1: the FED gets up to into the above three percent 133 00:07:39,520 --> 00:07:41,440 Speaker 1: and three and quarter three and a half percent range. 134 00:07:41,920 --> 00:07:45,840 Speaker 1: We're we're feeling some pain from emerging markets. Now, okay, 135 00:07:46,200 --> 00:07:51,040 Speaker 1: that's mostly idiosyncratic. It's it's not contagion on a big 136 00:07:51,160 --> 00:07:54,080 Speaker 1: on a big scale resulting from FED tightening. That will 137 00:07:54,200 --> 00:07:58,000 Speaker 1: probably come. I think we're expecting something probably sometime in 138 00:07:58,040 --> 00:08:01,720 Speaker 1: the second half next year. Uh, and that probably spill 139 00:08:01,800 --> 00:08:04,680 Speaker 1: over into you know this this this risk on will 140 00:08:04,720 --> 00:08:08,680 Speaker 1: become risk off and we'll see a drop in financial conditions. 141 00:08:08,680 --> 00:08:11,400 Speaker 1: And that was that's what's along with some slowing of 142 00:08:11,520 --> 00:08:16,680 Speaker 1: fiscal stimulus, that's what's going to generate this slowdown we're expecting. 143 00:08:16,680 --> 00:08:19,200 Speaker 1: In Peter is great to catch out with you some 144 00:08:19,280 --> 00:08:21,760 Speaker 1: really really thoughtful stuff from the Deutsche Bank team this 145 00:08:21,800 --> 00:08:24,400 Speaker 1: week Peter Hoop at deutche Bank Securities chief Economists. Reach 146 00:08:24,480 --> 00:08:25,800 Speaker 1: out to Peter and the team if you want to 147 00:08:25,800 --> 00:08:28,960 Speaker 1: get the research how the foul pal fed can make 148 00:08:29,160 --> 00:08:32,319 Speaker 1: history and White Tom Kane, it might be different this time. 149 00:08:32,320 --> 00:08:45,280 Speaker 1: It's a really thoughtful piece. And now we're gonna go 150 00:08:45,440 --> 00:08:49,280 Speaker 1: essentially to China because Free of Bemish of Pantheon has 151 00:08:49,480 --> 00:08:54,760 Speaker 1: real hands on living in Chinese China experience. I should 152 00:08:54,800 --> 00:08:57,480 Speaker 1: say for you, a good morning to you. What will 153 00:08:57,520 --> 00:09:01,160 Speaker 1: be the response of the I mean this party and 154 00:09:01,200 --> 00:09:04,520 Speaker 1: that's so much the people of China or President g 155 00:09:04,720 --> 00:09:08,439 Speaker 1: and the elite of China, but just the party apparatus 156 00:09:08,880 --> 00:09:12,280 Speaker 1: from see the shining Sea of China. What will there 157 00:09:12,320 --> 00:09:17,720 Speaker 1: be a response their response be to President Trump's trade war? Well, 158 00:09:17,760 --> 00:09:20,600 Speaker 1: I think at this stage we're seeing a very measured 159 00:09:20,640 --> 00:09:23,000 Speaker 1: response from the Chinese trying to kind of take the 160 00:09:23,160 --> 00:09:26,080 Speaker 1: high road, UM in that sense. And then I guess 161 00:09:26,120 --> 00:09:28,959 Speaker 1: your question really speaks to what what UM is going 162 00:09:28,960 --> 00:09:31,360 Speaker 1: to be the response of the people of of China 163 00:09:31,440 --> 00:09:33,760 Speaker 1: to the extent that one can one can generalize, and 164 00:09:33,760 --> 00:09:36,880 Speaker 1: will they accept the narrative, UM, that is coming from 165 00:09:37,000 --> 00:09:40,240 Speaker 1: the leaders on high that we're protecting you by not 166 00:09:40,480 --> 00:09:44,040 Speaker 1: escalating this trade war, by by not just responding to 167 00:09:44,240 --> 00:09:47,480 Speaker 1: Mr Trump's tweets. And I guess we can we can 168 00:09:47,559 --> 00:09:49,839 Speaker 1: hope at least that a lot of the kind of 169 00:09:50,160 --> 00:09:52,920 Speaker 1: if one wants to say, vitriol of that is coming 170 00:09:52,920 --> 00:09:54,880 Speaker 1: out of of the the U S side of this, 171 00:09:55,080 --> 00:09:58,440 Speaker 1: of this UM. So the negotiations, if we can even 172 00:09:58,559 --> 00:10:02,360 Speaker 1: call them negotiations, is UM. Maybe that starts to die 173 00:10:02,400 --> 00:10:04,960 Speaker 1: down a bit after the mid term elections. UM. Certainly 174 00:10:05,080 --> 00:10:07,920 Speaker 1: Mr Trump's most recent response, I'm not sure what the 175 00:10:08,000 --> 00:10:09,839 Speaker 1: venue was for that. It might have been more kind 176 00:10:09,840 --> 00:10:13,640 Speaker 1: of an audience type of response. I'm prepared to eat 177 00:10:13,720 --> 00:10:15,600 Speaker 1: my words on this, it will at any stage, and 178 00:10:15,600 --> 00:10:19,319 Speaker 1: then to revegitate them almost immediately afterwards if if the 179 00:10:20,120 --> 00:10:23,800 Speaker 1: story changes. But looking at the short terms, he leaves here. Um. 180 00:10:23,960 --> 00:10:26,000 Speaker 1: The what we've had this week is that we've had 181 00:10:26,040 --> 00:10:28,920 Speaker 1: a big escalation for Mr from Mr Trump at the 182 00:10:28,920 --> 00:10:32,400 Speaker 1: beginning of a week China and had a very measured 183 00:10:32,440 --> 00:10:35,000 Speaker 1: response to that. They they said five to ten percent 184 00:10:35,120 --> 00:10:37,439 Speaker 1: tariffs on on sixty billion of goods, which is kind 185 00:10:37,440 --> 00:10:39,560 Speaker 1: of a drop in the water, really in the bucket 186 00:10:40,000 --> 00:10:42,520 Speaker 1: um in the context of what's been imposed from from 187 00:10:42,640 --> 00:10:45,520 Speaker 1: Mr Trump. Mr Trump has said he's gonna he's gonna 188 00:10:45,600 --> 00:10:48,800 Speaker 1: slap the tariffs on on a further two hundred and 189 00:10:48,920 --> 00:10:52,520 Speaker 1: sixty seven billion of goods um as soon as China retaliates. 190 00:10:52,520 --> 00:10:54,160 Speaker 1: We haven't had that yet. We've had a kind of 191 00:10:54,160 --> 00:10:57,600 Speaker 1: with some some rhetoric um. But at this stage, if 192 00:10:57,600 --> 00:11:01,680 Speaker 1: he's willing to put off the twenty five percent until 193 00:11:01,800 --> 00:11:05,360 Speaker 1: January to laughter Christmas to laughter in the midtimes, because 194 00:11:05,360 --> 00:11:08,320 Speaker 1: of the to give businesses time to adjust, it doesn't 195 00:11:08,360 --> 00:11:10,640 Speaker 1: seem likely at this stage that we're going to see 196 00:11:10,720 --> 00:11:12,920 Speaker 1: him turn around and say, well, okay, well I'm going 197 00:11:12,960 --> 00:11:15,720 Speaker 1: to immediately slap on the carriers on the two hundred 198 00:11:15,720 --> 00:11:18,240 Speaker 1: and sixty seven. That's the short term answer to that, 199 00:11:18,360 --> 00:11:20,600 Speaker 1: and there's a very different longer term answer to that, 200 00:11:20,679 --> 00:11:22,840 Speaker 1: and certainly I see China and the US on a 201 00:11:22,840 --> 00:11:25,800 Speaker 1: collision course. Then well, I think the longer term outcome 202 00:11:25,800 --> 00:11:27,960 Speaker 1: warrants a much longer conversation at the time we have 203 00:11:28,040 --> 00:11:30,520 Speaker 1: this morning. I think there's plenty of things that investors 204 00:11:30,559 --> 00:11:32,600 Speaker 1: are interested in, But if I could pick two of them, 205 00:11:32,760 --> 00:11:35,480 Speaker 1: one is the trade conversation you've just laid out for us. 206 00:11:35,520 --> 00:11:38,520 Speaker 1: The second part is how China responds with policy tools 207 00:11:38,679 --> 00:11:42,240 Speaker 1: outside of trade. Are we shifting towards an easing bias? 208 00:11:42,320 --> 00:11:44,280 Speaker 1: And have we done that already? Were the signs that 209 00:11:44,320 --> 00:11:46,880 Speaker 1: you see Freyer that that's happening right now in China? 210 00:11:48,320 --> 00:11:50,400 Speaker 1: I think we are seeing that easing bias. I think 211 00:11:50,400 --> 00:11:52,400 Speaker 1: we would have seen that regardless of what was going 212 00:11:52,440 --> 00:11:55,000 Speaker 1: on in the trade wars by this stage of years. 213 00:11:55,040 --> 00:11:57,440 Speaker 1: One of the indicators that I look at most closely 214 00:11:57,520 --> 00:12:00,240 Speaker 1: is M one and M one is a great leading 215 00:12:00,280 --> 00:12:04,319 Speaker 1: indicator for China because it's such a banking um centric economy, 216 00:12:04,320 --> 00:12:06,559 Speaker 1: and there's shadow banking elements to that as well. But 217 00:12:06,600 --> 00:12:09,120 Speaker 1: the M one tends to have a good kind of 218 00:12:09,120 --> 00:12:11,680 Speaker 1: two or three quarter lead on on GDP growth, and 219 00:12:11,720 --> 00:12:15,000 Speaker 1: I'm talking for nominal GDP growth here, and that's been 220 00:12:15,000 --> 00:12:20,960 Speaker 1: showing a substantial slowdown UM since since the mid sixteen 221 00:12:21,120 --> 00:12:25,040 Speaker 1: and together that indicates that GDP growth would be slowing 222 00:12:25,120 --> 00:12:28,040 Speaker 1: into into the beginning of next year. UM, but we 223 00:12:28,080 --> 00:12:30,679 Speaker 1: are starting to see it pick up again now that 224 00:12:30,760 --> 00:12:33,120 Speaker 1: the Chinese easing response. We gotta rip up the scripture. 225 00:12:33,160 --> 00:12:36,400 Speaker 1: This is really important M one. You mean M one 226 00:12:36,600 --> 00:12:40,400 Speaker 1: in China, not M one in the United States right now. 227 00:12:40,640 --> 00:12:42,880 Speaker 1: Actually in the United States that we don't see so 228 00:12:42,960 --> 00:12:47,400 Speaker 1: much of that the money indicators being being so important. 229 00:12:47,400 --> 00:12:50,040 Speaker 1: But in China and the likes of Europe, even where 230 00:12:50,080 --> 00:12:52,440 Speaker 1: banks are more important than they are in in the 231 00:12:52,559 --> 00:12:56,280 Speaker 1: US as a kind of as financial intermediaries relatively speaking 232 00:12:56,280 --> 00:12:59,480 Speaker 1: relative to other forms of financing. M one in China 233 00:12:59,520 --> 00:13:03,920 Speaker 1: and particular, you're very good neading indicator. Freya Bemish. Thank 234 00:13:03,960 --> 00:13:07,680 Speaker 1: you so much greatly. I appreciate that. UH. This morning, 235 00:13:17,280 --> 00:13:21,720 Speaker 1: John Farren toom Kean are Bloomberg Interactive Broker Studios. We 236 00:13:21,760 --> 00:13:24,079 Speaker 1: are thrilled for the support from Interactor Brokers, and we're 237 00:13:24,080 --> 00:13:26,880 Speaker 1: also thrilled to bring you what I think, on an 238 00:13:26,920 --> 00:13:32,320 Speaker 1: almost theology basis, is the political interview of the weekend, UH. 239 00:13:32,440 --> 00:13:36,040 Speaker 1: The Gentleman from the sixth Congressional District of Pennsylvania. Ryan 240 00:13:36,080 --> 00:13:41,319 Speaker 1: Anthony Costello is in the absolute crosshairs of national gerrymandering 241 00:13:41,760 --> 00:13:45,959 Speaker 1: and also a centrist. How rare is that he joins 242 00:13:46,040 --> 00:13:48,760 Speaker 1: us now? Is he retires from Congress in a bit? 243 00:13:49,200 --> 00:13:52,400 Speaker 1: But Ryan, far more importantly is the idea that you've 244 00:13:52,400 --> 00:13:55,120 Speaker 1: had the courage to take a middle ground. You see 245 00:13:55,160 --> 00:13:57,920 Speaker 1: it in the statistics out by all the pundon's, the 246 00:13:57,960 --> 00:14:00,959 Speaker 1: Cook Report and and all that. How lonely is it 247 00:14:01,040 --> 00:14:05,640 Speaker 1: to be in the middle in Washington? There are other 248 00:14:06,320 --> 00:14:09,520 Speaker 1: members such as that. But what it does bring about, 249 00:14:09,600 --> 00:14:13,079 Speaker 1: Tom is uh, no matter what you do, you always 250 00:14:13,080 --> 00:14:18,600 Speaker 1: have about of the electorate uh ticked off at? Yeah, 251 00:14:20,880 --> 00:14:23,600 Speaker 1: sometimes it changes though. Sometimes it's the left, sometimes it's 252 00:14:23,640 --> 00:14:25,960 Speaker 1: the right, depending upon how is that changing? Right now? 253 00:14:25,960 --> 00:14:30,080 Speaker 1: What's the what's the marginal change now between a polarized 254 00:14:30,160 --> 00:14:32,400 Speaker 1: left and a polarized right? Or do we need to 255 00:14:32,400 --> 00:14:36,400 Speaker 1: wait farther to get to see that? I think it 256 00:14:36,560 --> 00:14:41,480 Speaker 1: probably uh farther to But of course the issue set uh, 257 00:14:41,800 --> 00:14:47,120 Speaker 1: you know change as I mentioned who maybe take coffee 258 00:14:47,120 --> 00:14:49,840 Speaker 1: of with. The goal obviously is always to try and 259 00:14:49,920 --> 00:14:53,320 Speaker 1: work to get to that eight twenty solution where you 260 00:14:53,360 --> 00:14:55,520 Speaker 1: can get percent of the people behind you. And I 261 00:14:55,560 --> 00:14:58,240 Speaker 1: do think where we're falling short is it on some 262 00:14:58,320 --> 00:15:02,440 Speaker 1: of these issues we can at eight twenty issues we mightn't. 263 00:15:02,440 --> 00:15:04,800 Speaker 1: We might not be getting a percent of an issue solved, 264 00:15:04,840 --> 00:15:07,600 Speaker 1: but we should be finding the areas where we you know, 265 00:15:07,640 --> 00:15:10,120 Speaker 1: get get the find where the consensus is. Do that, 266 00:15:10,200 --> 00:15:12,440 Speaker 1: and then the stuff we can't agree to, let let 267 00:15:12,440 --> 00:15:15,960 Speaker 1: that linger another day and fight for another day. A 268 00:15:15,960 --> 00:15:18,720 Speaker 1: pleasure to speak to you in terms of my Tuesday 269 00:15:18,760 --> 00:15:22,240 Speaker 1: evening reality. Early in November of two thousand sixteen, I 270 00:15:22,280 --> 00:15:23,960 Speaker 1: was standing in a living room, I believe I was 271 00:15:24,000 --> 00:15:28,480 Speaker 1: watching CNN, and there was a dawning reality that Secretary 272 00:15:28,520 --> 00:15:33,080 Speaker 1: Clinton would barely win Bucks County. I was thunderstruck and 273 00:15:33,160 --> 00:15:35,840 Speaker 1: how the president did so well in Bucks County. And 274 00:15:35,880 --> 00:15:38,960 Speaker 1: that was the first moment I realized we would have 275 00:15:39,080 --> 00:15:42,600 Speaker 1: a President Trump if that election was held today, with 276 00:15:42,760 --> 00:15:46,480 Speaker 1: the president get that close again in Bucks County, you know, 277 00:15:46,600 --> 00:15:50,440 Speaker 1: less than three thousand votes, he would not. There are 278 00:15:50,520 --> 00:15:55,440 Speaker 1: some polling I think that suggests that, uh, he's lost five, 279 00:15:56,200 --> 00:16:00,080 Speaker 1: maybe even ten points um in that county. Uh and 280 00:16:00,120 --> 00:16:02,560 Speaker 1: in that specific case, lower Bucks County, which has a 281 00:16:02,600 --> 00:16:05,600 Speaker 1: lot more I don't want to over generalize, but working 282 00:16:05,640 --> 00:16:11,440 Speaker 1: class UM voters uh saw and President Trump someone who 283 00:16:11,480 --> 00:16:15,960 Speaker 1: was going to disrupt the system, who was speaking their language. Uh, 284 00:16:16,000 --> 00:16:18,960 Speaker 1: you know, would be a trade deals or some other 285 00:16:19,320 --> 00:16:23,280 Speaker 1: um even cultural issues he felt spoke to them, they 286 00:16:23,320 --> 00:16:26,320 Speaker 1: felt spoke to them um at this point. And you're 287 00:16:26,400 --> 00:16:29,440 Speaker 1: right though, that is I think where the tipping point 288 00:16:29,480 --> 00:16:33,240 Speaker 1: for him in parts of Pennsylvania, Michigan, Wisconsin. I was 289 00:16:33,360 --> 00:16:36,320 Speaker 1: very surprised. I did not expect President Trump to win. 290 00:16:36,520 --> 00:16:39,600 Speaker 1: I thought Hillary Clinton in Bucks County or where I'm from, 291 00:16:39,680 --> 00:16:43,600 Speaker 1: Chester County, in the Philadelphia Star would have performed better 292 00:16:43,640 --> 00:16:47,960 Speaker 1: than she did. Within this Congressman, is the Tax Reform Act. 293 00:16:48,040 --> 00:16:50,360 Speaker 1: There's a couple of articles this week clearly suggesting in 294 00:16:50,400 --> 00:16:55,320 Speaker 1: the zeitgeist that it's not playing well with frontline, mainline Republicans. 295 00:16:55,400 --> 00:16:57,920 Speaker 1: It's only a product for the rich and the guilded 296 00:16:57,960 --> 00:17:02,040 Speaker 1: age that we live in. How the Republicans sell the 297 00:17:02,080 --> 00:17:06,000 Speaker 1: benefits of the new tax reform to the broad spectrum 298 00:17:06,000 --> 00:17:10,080 Speaker 1: of America, I think you have to do a couple 299 00:17:10,080 --> 00:17:14,000 Speaker 1: of things. Number One, we don't have invertens anymore. So. 300 00:17:14,080 --> 00:17:17,800 Speaker 1: The challenge here, I think you've correctly identified it is 301 00:17:17,920 --> 00:17:22,680 Speaker 1: in talking about how corporate tax reform benefits everyone. Uh, 302 00:17:22,840 --> 00:17:25,560 Speaker 1: that can get lost in the shuffle. It's an abstraction. 303 00:17:26,040 --> 00:17:27,879 Speaker 1: I think you have to point to the stock market, 304 00:17:27,920 --> 00:17:30,200 Speaker 1: you have to point to low unemployment, you have to 305 00:17:30,280 --> 00:17:34,520 Speaker 1: point to um the fact that companies aren't leaving America anymore. 306 00:17:35,160 --> 00:17:38,040 Speaker 1: That's one piece of the puzzle. The other one is 307 00:17:38,320 --> 00:17:41,000 Speaker 1: looking at the wage increased growth. We've seen in the 308 00:17:41,040 --> 00:17:44,919 Speaker 1: past year, wage increased growth of about three percent. That 309 00:17:45,080 --> 00:17:49,480 Speaker 1: significant final piece here is and this is a bigger 310 00:17:49,560 --> 00:17:52,680 Speaker 1: challenge because it hasn't happened yet. Folks have not filed obviously, 311 00:17:52,680 --> 00:17:55,520 Speaker 1: they tax research. Yet that's when you're going to see 312 00:17:55,560 --> 00:17:59,720 Speaker 1: that family, that middle and middle income class family ums 313 00:17:59,800 --> 00:18:04,080 Speaker 1: them aided. Again the generalization of a couple of thousand dollars. 314 00:18:04,760 --> 00:18:07,880 Speaker 1: We cannot rely as Republicans just on saying we pass 315 00:18:07,960 --> 00:18:10,920 Speaker 1: tax reform, the economy is going good, vote for us. 316 00:18:10,960 --> 00:18:13,720 Speaker 1: There has to be more than that. The other thing, 317 00:18:13,720 --> 00:18:16,960 Speaker 1: I would say Democrats have really doubled and tripled down 318 00:18:17,160 --> 00:18:20,679 Speaker 1: on their counter messaging on this, and that's what the 319 00:18:20,720 --> 00:18:23,240 Speaker 1: other reason why I think it has not really been 320 00:18:23,320 --> 00:18:26,480 Speaker 1: embedded as a positive in the minds of every single 321 00:18:26,520 --> 00:18:30,400 Speaker 1: Republican voter or or every single independent or Democratic congresmand Cossello, 322 00:18:30,440 --> 00:18:33,920 Speaker 1: where this is the sixth District of Pennsylvania Congressman. As 323 00:18:33,920 --> 00:18:37,119 Speaker 1: you look across the aisle, there's, you know, developing Democrat 324 00:18:37,200 --> 00:18:40,880 Speaker 1: party strategy, one of progressive, one of what someone suggests 325 00:18:40,880 --> 00:18:44,399 Speaker 1: as extreme, and like the Republicans, trying to find a 326 00:18:44,440 --> 00:18:47,600 Speaker 1: path to the middle in a distant part of Pennsylvania. 327 00:18:47,680 --> 00:18:50,880 Speaker 1: I know you've never been to Pittsburgh, but just southwest 328 00:18:50,880 --> 00:18:54,560 Speaker 1: of Pittsburgh, Mr Lamb did better than good. Is one 329 00:18:54,560 --> 00:18:57,679 Speaker 1: of your great fears for the GOP is the Democrats 330 00:18:57,720 --> 00:19:03,040 Speaker 1: find more Connor Lambs well, uh, not too far from 331 00:19:03,080 --> 00:19:07,639 Speaker 1: me Burke's County, which I represent part of right now, 332 00:19:08,040 --> 00:19:11,320 Speaker 1: and Levining County as you head towards Hershey, Pennsylvania used 333 00:19:11,359 --> 00:19:14,680 Speaker 1: to be represented by Tim Holden, another blue dog Democrat. 334 00:19:15,240 --> 00:19:20,200 Speaker 1: And what you're finding is that Democrats who are who 335 00:19:20,280 --> 00:19:26,840 Speaker 1: do culturally connect with their region remind those Democratic voters 336 00:19:26,880 --> 00:19:29,640 Speaker 1: that voted for Trump that there are Democrats out there 337 00:19:29,680 --> 00:19:32,840 Speaker 1: like them. They're just looking for those kinds of Democrats. 338 00:19:33,200 --> 00:19:35,320 Speaker 1: They're going to have the same challenge that Republicans have, 339 00:19:35,400 --> 00:19:37,720 Speaker 1: and that is you have a progressive left, which if 340 00:19:37,720 --> 00:19:42,240 Speaker 1: you pull it, um pe socialism as favorable, right, I 341 00:19:42,240 --> 00:19:45,639 Speaker 1: mean that's really I mean we're talking really left type 342 00:19:46,280 --> 00:19:49,960 Speaker 1: progressive and so they have the same ideological tensions that 343 00:19:50,040 --> 00:19:53,399 Speaker 1: Republicans have at times. Um. And so you're sort of 344 00:19:53,400 --> 00:19:57,480 Speaker 1: seeing this strange mixture in the Democratic Party where they're 345 00:19:57,480 --> 00:20:00,919 Speaker 1: gonna have their own uh sets of issues. But in 346 00:20:01,000 --> 00:20:04,120 Speaker 1: certain parts of Pennsylvania and across the country in the Midwest, 347 00:20:04,520 --> 00:20:08,920 Speaker 1: and Pittsburgh is the Midwest. Um, Philadelphia, I would say, isn't. 348 00:20:09,440 --> 00:20:12,480 Speaker 1: But in the Midwest, no, no, it's not. I mean Pittsburgh. 349 00:20:12,480 --> 00:20:14,840 Speaker 1: I mean it's interesting. Pennsylvania's kind of the dividing line 350 00:20:14,840 --> 00:20:19,359 Speaker 1: between the Midwest and western Pennsylvania and the northeast. This 351 00:20:19,640 --> 00:20:23,480 Speaker 1: it's the Steelers verse Eagles baby, um and uh. In 352 00:20:23,560 --> 00:20:27,320 Speaker 1: the Midwest, those Democrats have to be not only they 353 00:20:27,359 --> 00:20:30,000 Speaker 1: have to be and they also have to be perceived 354 00:20:30,119 --> 00:20:33,720 Speaker 1: as different Democrats than the progressive left in order to win, 355 00:20:33,960 --> 00:20:36,479 Speaker 1: just like Republicans in my neck of the woods need 356 00:20:36,560 --> 00:20:39,920 Speaker 1: to be viewed as you know, your suburban moderate centrist Republican, 357 00:20:40,040 --> 00:20:44,720 Speaker 1: not your tea party anti establishment republican that's willing to 358 00:20:44,720 --> 00:20:47,280 Speaker 1: shut the government down. A lot of voters are not 359 00:20:47,320 --> 00:20:49,879 Speaker 1: going to go for that brand of Republicanism either. So 360 00:20:49,960 --> 00:20:54,000 Speaker 1: it's it creates I think, actually, Tom the kind of 361 00:20:54,040 --> 00:20:57,439 Speaker 1: America that we have, which is gone, that's constantly you know, 362 00:20:57,480 --> 00:20:59,399 Speaker 1: the wind shift a little bit, and you have to 363 00:20:59,440 --> 00:21:02,520 Speaker 1: reflect the passions of the time. But you also have 364 00:21:02,600 --> 00:21:06,280 Speaker 1: to demonstrate thoughtfulness and a degree of independence as a 365 00:21:06,320 --> 00:21:09,840 Speaker 1: member of Congress, because I think voters ultimately a lot 366 00:21:09,920 --> 00:21:11,920 Speaker 1: of voters who aren't just going to vote straight are 367 00:21:12,040 --> 00:21:16,040 Speaker 1: or straight d are looking for that uh, that that 368 00:21:16,160 --> 00:21:21,040 Speaker 1: independent brand and that check and balance on executive branch, 369 00:21:21,119 --> 00:21:24,159 Speaker 1: on regulatory agencies, and and are trying to focus on 370 00:21:24,200 --> 00:21:27,000 Speaker 1: local issues. Did you see did you see John Farrell 371 00:21:27,080 --> 00:21:30,400 Speaker 1: how the congressman got in that slam against the Pittsburgh Steelers. 372 00:21:30,400 --> 00:21:32,480 Speaker 1: I felt for a moment like I was doing drive 373 00:21:32,520 --> 00:21:36,679 Speaker 1: time Katie K Radio, CBS Radio, Pittsburgh. I do like 374 00:21:36,760 --> 00:21:38,840 Speaker 1: to see. I like the Steelers, but I love the 375 00:21:39,119 --> 00:21:42,960 Speaker 1: Oh you just thank god you're retiring congressman, Thank you 376 00:21:43,040 --> 00:21:46,600 Speaker 1: so much. Ryan at Castello from Philadelphia might point out, 377 00:21:46,800 --> 00:21:51,600 Speaker 1: and with Kevin Surreley all Eagles an important conversation there. 378 00:22:02,760 --> 00:22:07,560 Speaker 1: Betsy Graci research piece reads dense, It is loaded with math, 379 00:22:07,760 --> 00:22:11,119 Speaker 1: It is loaded with ratios, and it always ends up 380 00:22:11,160 --> 00:22:14,919 Speaker 1: being a smart dissertation on what's going on, She joins 381 00:22:15,000 --> 00:22:18,240 Speaker 1: us this morning, Betsy, the operating incomes of these beasts 382 00:22:18,240 --> 00:22:21,120 Speaker 1: continues to grow? Is there no end in sight? Does 383 00:22:21,160 --> 00:22:24,520 Speaker 1: the operating the profit of of our major banks? Does 384 00:22:24,560 --> 00:22:29,120 Speaker 1: it just continue to advance? You know, Tom, there's uh. 385 00:22:29,400 --> 00:22:31,040 Speaker 1: This note that we wrote is all about tech and 386 00:22:31,119 --> 00:22:35,760 Speaker 1: technology and investing in tech, and it is driving operating leverage. 387 00:22:36,320 --> 00:22:38,600 Speaker 1: And that's one of the key levers for why we 388 00:22:38,680 --> 00:22:42,800 Speaker 1: do have some improvement here in operating profit of the 389 00:22:42,880 --> 00:22:45,919 Speaker 1: US banks. US banks catching a bit of a bit 390 00:22:46,160 --> 00:22:48,520 Speaker 1: over the last week, Betsy, largely off the back of 391 00:22:48,600 --> 00:22:51,920 Speaker 1: this mild sort of statening of the yield curve back 392 00:22:52,000 --> 00:22:55,840 Speaker 1: up to a massive twenty six basis points two versus tens. Betsy, 393 00:22:55,960 --> 00:22:58,639 Speaker 1: how much support can you expect from the shape of 394 00:22:58,680 --> 00:23:01,560 Speaker 1: a yield curve going forward from here? Yeah, you know, 395 00:23:01,680 --> 00:23:05,600 Speaker 1: Jonathan's um state the curve definitely is a little bit 396 00:23:05,680 --> 00:23:09,800 Speaker 1: of a help. But um, that's not the only thing 397 00:23:10,000 --> 00:23:13,480 Speaker 1: that's driving our outlaws here for the institutions. You know, 398 00:23:14,040 --> 00:23:19,760 Speaker 1: number one is the operating leverage from this investment spent 399 00:23:20,040 --> 00:23:22,960 Speaker 1: in technology. And then you know, we also have I know, 400 00:23:23,359 --> 00:23:25,080 Speaker 1: a little bit of loan growth. It's not as much 401 00:23:25,119 --> 00:23:27,359 Speaker 1: as some people want, but you have a little bit 402 00:23:27,440 --> 00:23:29,920 Speaker 1: of you know, commercial industrial growth taking up here in 403 00:23:29,960 --> 00:23:32,080 Speaker 1: the third quarter, you expect to get more volume in 404 00:23:32,160 --> 00:23:35,080 Speaker 1: terms and long growth. Bet see what's driving that, Well, 405 00:23:35,320 --> 00:23:37,680 Speaker 1: you know we're talking about small numbers, right, We're talking 406 00:23:37,720 --> 00:23:42,240 Speaker 1: about three percent going to four percent, and that is 407 00:23:42,680 --> 00:23:46,640 Speaker 1: in a large part function of commercial industrial loans which 408 00:23:46,640 --> 00:23:51,400 Speaker 1: are beginning to accelerate. That's the function of companies beginning 409 00:23:51,720 --> 00:23:55,240 Speaker 1: some cap bax, as well as a little bit of 410 00:23:55,400 --> 00:23:58,840 Speaker 1: m and a investment. Betsy. I want to talk about 411 00:23:58,880 --> 00:24:03,680 Speaker 1: your wonderful research report, a collaborative effort by Morgan Stanley 412 00:24:03,800 --> 00:24:07,320 Speaker 1: and you know, I look at this report is almost 413 00:24:07,359 --> 00:24:10,119 Speaker 1: a two thousand nineteen, as you say, a call to 414 00:24:10,440 --> 00:24:13,560 Speaker 1: arms and folks. All you need to know about technology 415 00:24:13,680 --> 00:24:18,800 Speaker 1: is the following new entrants able to provide banking services 416 00:24:18,960 --> 00:24:22,760 Speaker 1: for up to cheaper Why don't you have a picture 417 00:24:22,760 --> 00:24:28,120 Speaker 1: of Jeff Bezos on the cover. Well, he's not into 418 00:24:28,280 --> 00:24:34,120 Speaker 1: banking directly yet, right yet, so, uh depiction on the cover, though, 419 00:24:34,200 --> 00:24:38,639 Speaker 1: I think does give you know this report the you know, 420 00:24:38,680 --> 00:24:41,520 Speaker 1: the background for the report, which is essentially a strategic 421 00:24:42,640 --> 00:24:47,639 Speaker 1: imperative for bank management to invest in the technology to 422 00:24:47,800 --> 00:24:52,040 Speaker 1: get four things right. You know, one is a customer 423 00:24:52,119 --> 00:24:55,159 Speaker 1: centric view and I do want to highlight here this 424 00:24:55,400 --> 00:24:58,440 Speaker 1: is a global effort. My colleague in London, Julia Miatto, 425 00:24:58,880 --> 00:25:03,360 Speaker 1: she really drove this note. UM. Importantly, the awards strategic 426 00:25:03,440 --> 00:25:06,479 Speaker 1: agenda has to be customer centric. Few at the heart 427 00:25:06,520 --> 00:25:09,760 Speaker 1: of the bank. Fix the legacy systems, make them work 428 00:25:09,920 --> 00:25:13,520 Speaker 1: for you, not against you. UM, embrace change and get 429 00:25:13,640 --> 00:25:15,879 Speaker 1: to scale. And you know, getting to scales can be 430 00:25:15,960 --> 00:25:19,560 Speaker 1: through a variety of ways. Partnering with thin Tex, partnering 431 00:25:19,640 --> 00:25:22,200 Speaker 1: with the providers, or m and A. You know, it's 432 00:25:22,240 --> 00:25:24,800 Speaker 1: it's one of those things. Yeah, but Amazon always wins 433 00:25:24,880 --> 00:25:27,960 Speaker 1: at This is the idea of retail players like Amazon 434 00:25:28,119 --> 00:25:31,560 Speaker 1: come in to take on Fortress Diamond and Fortress mooining 435 00:25:31,640 --> 00:25:34,440 Speaker 1: Head and the rest or is it something more tech 436 00:25:34,680 --> 00:25:41,520 Speaker 1: techy Google, you know, let's write code kind of stuff. Um. 437 00:25:41,920 --> 00:25:45,119 Speaker 1: At this stage, we believe the banks are you know 438 00:25:45,200 --> 00:25:48,800 Speaker 1: that embrace change and put their customers at the heart 439 00:25:48,960 --> 00:25:52,199 Speaker 1: of their I T platforms. It's more of the techie 440 00:25:52,240 --> 00:25:54,960 Speaker 1: techy and you know, my my opinion, more of the 441 00:25:55,000 --> 00:25:58,439 Speaker 1: tech techies five than the we're gonna be taken over 442 00:25:58,560 --> 00:26:02,320 Speaker 1: by Big Tex. But hey, this is an evolving discussion, right, 443 00:26:03,920 --> 00:26:06,240 Speaker 1: Who's gonna who's gonna leave the charge on? This? Is 444 00:26:06,359 --> 00:26:09,280 Speaker 1: Mr Diamond doing it? There's another bank that has best 445 00:26:09,320 --> 00:26:14,399 Speaker 1: practices on the new technology. You know we have in 446 00:26:14,600 --> 00:26:18,159 Speaker 1: here global note um, a group of institutions that we 447 00:26:18,280 --> 00:26:20,720 Speaker 1: think are best in classmates about twelve or fifteen of 448 00:26:20,800 --> 00:26:23,760 Speaker 1: them out of the US. We're talking about Bank of 449 00:26:23,760 --> 00:26:28,679 Speaker 1: America and JPM and Bank of America in the consumer 450 00:26:28,760 --> 00:26:34,359 Speaker 1: space is really leading the pack. Interesting. Interesting, Well, just 451 00:26:34,480 --> 00:26:36,840 Speaker 1: one more piece of gossip before we let you go, Betsye, 452 00:26:37,200 --> 00:26:40,080 Speaker 1: And that is the theme this week of a zeitgeist 453 00:26:40,119 --> 00:26:42,040 Speaker 1: at Bank of America is not getting it done in 454 00:26:42,119 --> 00:26:45,159 Speaker 1: investment banking, folks. For all of you that know the 455 00:26:45,240 --> 00:26:48,199 Speaker 1: investment bankers never wear bow ties. They don't know who 456 00:26:48,240 --> 00:26:53,320 Speaker 1: a C. Milan is. They're smooth guys out in the Hampton's. Yes, 457 00:26:53,400 --> 00:26:56,280 Speaker 1: that's what I'm saying exactly, Betsy, give us an update 458 00:26:56,320 --> 00:26:59,680 Speaker 1: on investment banking for Mr moynihan, what's really going on there? 459 00:27:01,280 --> 00:27:05,280 Speaker 1: You know? Look, um, my opinion here is that in 460 00:27:06,080 --> 00:27:09,719 Speaker 1: Bay their focus is, as you will know, Tom quality 461 00:27:09,760 --> 00:27:15,040 Speaker 1: growth right, and quality growth means uh dick tier knitting. 462 00:27:15,440 --> 00:27:19,640 Speaker 1: And I view that they're investment banking business is more 463 00:27:19,800 --> 00:27:26,520 Speaker 1: of a corporate centric, client centric and flow driven more 464 00:27:26,680 --> 00:27:30,280 Speaker 1: of the plain vanilla. Yeah, that's called you're too young 465 00:27:30,400 --> 00:27:32,720 Speaker 1: for this, Betsy, but that's called doing a chemical bank. 466 00:27:33,000 --> 00:27:36,280 Speaker 1: But the answers that's what they want to get back to, right, well, 467 00:27:36,320 --> 00:27:40,000 Speaker 1: I think that's where they are. Yeah, yeah, excuse me, Betsy, 468 00:27:40,240 --> 00:27:44,720 Speaker 1: very quickly, what's your single best buy right now? Topic 469 00:27:44,920 --> 00:27:49,719 Speaker 1: State Streets? Okay, very good, Betsy Grace. Well please, yes, 470 00:27:49,840 --> 00:27:53,840 Speaker 1: we want to know why. Okay, So look, State Street 471 00:27:54,080 --> 00:27:56,159 Speaker 1: is our topic in US large cat banks, and the 472 00:27:56,280 --> 00:28:00,479 Speaker 1: main reason is that they have come under some pressure 473 00:28:00,480 --> 00:28:03,399 Speaker 1: of a stock recently when they announced the CRD acquisition, 474 00:28:03,480 --> 00:28:07,159 Speaker 1: which is a technology play in my opinion, and I 475 00:28:07,440 --> 00:28:09,800 Speaker 1: believe the market is being too punitive on that and 476 00:28:10,040 --> 00:28:11,920 Speaker 1: happy to get into that more. You know, another time 477 00:28:11,920 --> 00:28:15,000 Speaker 1: if you want, no, We're gonna can't do it right now. 478 00:28:15,040 --> 00:28:18,000 Speaker 1: Betsy Gracy, thank you so much for Morgan Stanley. Congratulations 479 00:28:18,080 --> 00:28:22,439 Speaker 1: on this important research piece on technology and with banking, 480 00:28:22,520 --> 00:28:31,040 Speaker 1: of course. Betsy Grace of Morgan Stanley, thanks for listening 481 00:28:31,160 --> 00:28:35,680 Speaker 1: to the Bloomberg Surveillance Podcast. Subscribe and listen to interviews 482 00:28:35,720 --> 00:28:40,920 Speaker 1: on Apple Podcasts, SoundCloud, or whichever podcast platform you prefer. 483 00:28:41,520 --> 00:28:44,840 Speaker 1: I'm on Twitter at Tom Keane before the podcast. You 484 00:28:44,880 --> 00:28:48,280 Speaker 1: can always catch us worldwide. I'm Bloomberg Radio