1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penl podcast on Paul Swing You. 2 00:00:05,360 --> 00:00:07,680 Speaker 1: Along with my co host Lisa Brahma Waits, each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money, whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,960 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:22,480 Speaker 1: at Bloomberg dot com. The u S shares have reversed 8 00:00:22,480 --> 00:00:25,560 Speaker 1: earlier gains. They are going sharply lower. One speculation is, 9 00:00:25,600 --> 00:00:27,440 Speaker 1: and of course everyone always tries to give a narrative 10 00:00:27,520 --> 00:00:30,440 Speaker 1: and then everybody else puts it down. But one narrative 11 00:00:30,560 --> 00:00:33,080 Speaker 1: is that we aren't getting any details on this possible 12 00:00:33,159 --> 00:00:37,639 Speaker 1: agreement between President Trump and Chinese jusion paying over reducing 13 00:00:37,640 --> 00:00:40,080 Speaker 1: tariffs or living them all together. Joining us now to 14 00:00:40,120 --> 00:00:42,519 Speaker 1: talk about this and what else is going on in 15 00:00:42,520 --> 00:00:45,640 Speaker 1: a global scale that could affect your investments. Milton as Ratti. 16 00:00:45,840 --> 00:00:48,800 Speaker 1: He has independent economics and investment strategy consultant and chief 17 00:00:48,800 --> 00:00:52,320 Speaker 1: economists for Vested. So Milton, thank you so much for 18 00:00:52,360 --> 00:00:55,480 Speaker 1: being here. Do you agree that the market has mostly 19 00:00:55,520 --> 00:00:58,160 Speaker 1: priced in some sort of trade deal and that the 20 00:00:58,200 --> 00:01:00,920 Speaker 1: details actually very much at or in terms of whether 21 00:01:00,960 --> 00:01:03,440 Speaker 1: the market will rally or not on the heels of it. Yeah. 22 00:01:03,480 --> 00:01:05,920 Speaker 1: I agree. The fact of a trade deal is there. 23 00:01:06,000 --> 00:01:10,200 Speaker 1: The market uh weeks ago decided we weren't going to 24 00:01:10,240 --> 00:01:13,320 Speaker 1: have a trade war, and now they're looking for details. 25 00:01:13,360 --> 00:01:19,160 Speaker 1: And I suspect that the details are because the Chinese 26 00:01:19,160 --> 00:01:22,320 Speaker 1: are interested in trade and the United States is interested 27 00:01:22,360 --> 00:01:26,360 Speaker 1: in protecting the integrity of its corporate structures and its 28 00:01:26,400 --> 00:01:30,520 Speaker 1: technology and um. But Mr Trump of course has harped 29 00:01:30,520 --> 00:01:33,120 Speaker 1: on trade, so he has to come out with some 30 00:01:33,160 --> 00:01:35,520 Speaker 1: face saving and the Chinese have to come out with 31 00:01:35,560 --> 00:01:37,920 Speaker 1: some face saving as well. All right, Well, it seems 32 00:01:37,920 --> 00:01:40,800 Speaker 1: like we're moving along the path to some degree for 33 00:01:41,440 --> 00:01:44,440 Speaker 1: you know, some trade negotiations in a trade pack with China. 34 00:01:44,600 --> 00:01:46,119 Speaker 1: Let's go to the other side of the world where 35 00:01:46,200 --> 00:01:49,280 Speaker 1: it's less clear, much less clear, which is Brexit. Uh. 36 00:01:49,360 --> 00:01:51,800 Speaker 1: It appears that these the two sides, the EU and UK, 37 00:01:51,920 --> 00:01:55,080 Speaker 1: continue to stumble towards some type of resolution. What do 38 00:01:55,120 --> 00:01:58,560 Speaker 1: you think is going to happen there? Uh? Well, I 39 00:01:58,600 --> 00:02:01,000 Speaker 1: think the significant thing that happen and it's not happening 40 00:02:01,040 --> 00:02:04,200 Speaker 1: between Brussels and London, and it's the Labor Party has 41 00:02:04,320 --> 00:02:08,440 Speaker 1: endorsed another referendum. Uh, you'll forgive my cynicism, but it 42 00:02:08,480 --> 00:02:11,680 Speaker 1: looks like Britain is following the European model of you 43 00:02:11,720 --> 00:02:15,080 Speaker 1: will vote and you will vote until you get it right. 44 00:02:15,440 --> 00:02:18,160 Speaker 1: So you think there's gonna be another referendum. I think 45 00:02:18,160 --> 00:02:20,520 Speaker 1: there will probably be another referendum. I don't know when 46 00:02:20,520 --> 00:02:23,919 Speaker 1: it will be scheduled, but they get it right. Um 47 00:02:24,040 --> 00:02:26,360 Speaker 1: right now. I think the British public, at least, if 48 00:02:26,360 --> 00:02:29,080 Speaker 1: the polls are to be believed, would vote to remain, 49 00:02:30,000 --> 00:02:33,440 Speaker 1: but not under these same terms that they existed prior 50 00:02:33,639 --> 00:02:37,040 Speaker 1: to the vote. So may if she's still in an 51 00:02:37,040 --> 00:02:39,080 Speaker 1: office at that time, we'll be able to go to 52 00:02:39,160 --> 00:02:43,480 Speaker 1: Europe after this referendum to sort of qualified referendum to 53 00:02:43,560 --> 00:02:48,200 Speaker 1: remain and say let's renegotiate the arrangements. And I think 54 00:02:48,240 --> 00:02:51,200 Speaker 1: that that might be enough of a bone, uh for 55 00:02:51,240 --> 00:02:54,280 Speaker 1: her to quiet the Brexit side of her party. So 56 00:02:54,400 --> 00:02:57,480 Speaker 1: we've all talked herself blue in the face about Brexit 57 00:02:57,639 --> 00:03:00,120 Speaker 1: with little resolution because things seem to get mess your 58 00:03:00,200 --> 00:03:04,040 Speaker 1: mess here. But there's been increasing focus on the slowdown 59 00:03:04,080 --> 00:03:08,040 Speaker 1: that we're seeing in the euroregion, in particular stemming from Germany, UH, 60 00:03:08,160 --> 00:03:11,960 Speaker 1: the area's biggest economy. How worried should we be about that? 61 00:03:12,639 --> 00:03:15,320 Speaker 1: I think that is the great worry. I'm not suggesting 62 00:03:15,400 --> 00:03:18,840 Speaker 1: that that the probability suggests a blow up in Europe, 63 00:03:18,880 --> 00:03:20,799 Speaker 1: but I am seeing this is where the surprise will 64 00:03:20,840 --> 00:03:24,680 Speaker 1: come for US markets and for global markets. The Brexit 65 00:03:24,720 --> 00:03:28,440 Speaker 1: deal is a mess. Even if they promise another referendum 66 00:03:28,560 --> 00:03:32,079 Speaker 1: in the future, uh, it will remain a weight boat 67 00:03:32,240 --> 00:03:35,280 Speaker 1: on the British economy and the European economy. It's significant 68 00:03:35,280 --> 00:03:38,960 Speaker 1: Britain is a fifth of the combined EU economy. So 69 00:03:39,600 --> 00:03:43,080 Speaker 1: this hiatus, if even if it's not an exit, is 70 00:03:43,840 --> 00:03:46,920 Speaker 1: a wait for their position, and they're slowing down a 71 00:03:46,920 --> 00:03:49,600 Speaker 1: great deal. In the meantime, you have the Italians, who 72 00:03:49,680 --> 00:03:53,720 Speaker 1: are both both parts of the Car coalition, despise the 73 00:03:53,800 --> 00:03:57,320 Speaker 1: EU and would like to follow Britain's example. Yeah, but 74 00:03:57,320 --> 00:03:59,400 Speaker 1: what would you say that that there is the likelihood 75 00:03:59,440 --> 00:04:01,560 Speaker 1: of a surprise is how much of a surprise could 76 00:04:01,600 --> 00:04:03,480 Speaker 1: there be? We already have talked a lot about how 77 00:04:03,600 --> 00:04:06,000 Speaker 1: much the economy is slowing down, in the populous trends 78 00:04:06,000 --> 00:04:08,440 Speaker 1: in Italy and even Spain. Well, I think the problem 79 00:04:08,480 --> 00:04:12,080 Speaker 1: here is that the Italians are the Italians are defying 80 00:04:12,360 --> 00:04:16,960 Speaker 1: Brussels read Berlin. They're defying Berlin on on their budget 81 00:04:17,440 --> 00:04:20,279 Speaker 1: and they have threatened to leave and they have run 82 00:04:20,400 --> 00:04:23,120 Speaker 1: on a leaf platform. That doesn't mean Italy is going 83 00:04:23,160 --> 00:04:26,880 Speaker 1: to leave, but it does suggest to me that, uh, 84 00:04:26,920 --> 00:04:31,600 Speaker 1: there could be another round in this ongoing European financial crisis, 85 00:04:31,600 --> 00:04:35,960 Speaker 1: this slow motion crisis where every few years there's a 86 00:04:36,000 --> 00:04:39,599 Speaker 1: problem and that rocks global markets. It's uh, and that's 87 00:04:39,600 --> 00:04:42,040 Speaker 1: where I think the surprise would be, not that Europe 88 00:04:42,080 --> 00:04:44,159 Speaker 1: is going to grow fast or go into recession. I 89 00:04:44,160 --> 00:04:47,760 Speaker 1: don't think either will happen um. And the problem on 90 00:04:48,040 --> 00:04:51,960 Speaker 1: more fundamental level, Uh, Europe has to address the Euro. 91 00:04:52,080 --> 00:04:55,720 Speaker 1: The Euro is Europe's problem, and even the Germans, who 92 00:04:55,720 --> 00:04:58,839 Speaker 1: have benefited tremendously from the Euro, have have alluded to 93 00:04:58,880 --> 00:05:01,279 Speaker 1: the fact that they need to make some adjustments. But 94 00:05:01,440 --> 00:05:05,480 Speaker 1: with the slowdown, the Germans cannot make any concessions. What 95 00:05:05,520 --> 00:05:07,200 Speaker 1: type of adjustments you think needs to be made to 96 00:05:07,200 --> 00:05:09,400 Speaker 1: the Euro? Well, I think there's a realization in Europe 97 00:05:09,440 --> 00:05:13,760 Speaker 1: that when the Euro was formed, currencies were out of 98 00:05:13,839 --> 00:05:16,279 Speaker 1: whack with each other, That the deutsch Mark when the 99 00:05:16,320 --> 00:05:21,600 Speaker 1: Germans entered, was cheap, the Lira, the pasada, all the currencies, 100 00:05:21,640 --> 00:05:24,240 Speaker 1: particularly in the periphery with deer. That's set up a 101 00:05:24,320 --> 00:05:27,240 Speaker 1: situation where the Germans exported to the periphery and the 102 00:05:27,279 --> 00:05:31,040 Speaker 1: periphery consume which was unsustainable. So I think even the Germans, 103 00:05:31,040 --> 00:05:33,440 Speaker 1: and certainly the Dutch and the Fins and people who 104 00:05:33,440 --> 00:05:37,440 Speaker 1: are involved who have strong economies have suggested that the 105 00:05:37,480 --> 00:05:40,800 Speaker 1: Germans have to make concessions. The Germans have alluded to 106 00:05:40,839 --> 00:05:43,400 Speaker 1: the fact that they would, but the time is not right. 107 00:05:43,440 --> 00:05:46,360 Speaker 1: They have political problems and their economy is slowing down. 108 00:05:46,360 --> 00:05:48,719 Speaker 1: They're not going to make concessions now. That means that 109 00:05:48,760 --> 00:05:52,440 Speaker 1: the pressure remains. All the reasons the Italians want out 110 00:05:52,600 --> 00:05:55,800 Speaker 1: or a new deal remains. The British, who are not 111 00:05:55,920 --> 00:05:58,479 Speaker 1: part of the euro it's not it's not their problem, 112 00:05:58,560 --> 00:06:04,360 Speaker 1: but that comp ounds the situation for the Franco German alliance. 113 00:06:05,080 --> 00:06:07,680 Speaker 1: Uh I think we could have I'm not. I don't 114 00:06:07,680 --> 00:06:10,320 Speaker 1: think it's probable necessarily, but I think that would be 115 00:06:10,360 --> 00:06:13,640 Speaker 1: the surprise another financial blow up in Europe, and with 116 00:06:13,680 --> 00:06:16,479 Speaker 1: Italy it's a lot more significant than Greece. But you 117 00:06:16,520 --> 00:06:19,200 Speaker 1: don't think necessarily that there's going to be a recession 118 00:06:19,200 --> 00:06:21,719 Speaker 1: in the near term in the Eurozone. It sounds like 119 00:06:21,760 --> 00:06:25,160 Speaker 1: you're fairly sanguine on China at least given the stimulus. 120 00:06:25,560 --> 00:06:28,280 Speaker 1: What about the US? Do you foresee a near term 121 00:06:28,360 --> 00:06:31,960 Speaker 1: recession here? Uh No, not near term. I think the 122 00:06:31,960 --> 00:06:36,000 Speaker 1: economy has no excesses. I know that recently, no excess 123 00:06:36,240 --> 00:06:41,960 Speaker 1: No except in Washington, and that's perennial. UM. But UM, 124 00:06:42,080 --> 00:06:44,960 Speaker 1: I don't the business community has strong balance sheets. I 125 00:06:44,960 --> 00:06:46,960 Speaker 1: know people have talked about debt. A lot of that 126 00:06:47,000 --> 00:06:49,360 Speaker 1: debt was getting in while the yields were low, and 127 00:06:49,400 --> 00:06:53,880 Speaker 1: they paid off of the debt. Uh. So statistic I 128 00:06:53,880 --> 00:06:56,320 Speaker 1: I stick on there is that the debt growth has 129 00:06:56,320 --> 00:06:58,960 Speaker 1: been about six point one percent a year. Their liabilities 130 00:06:59,000 --> 00:07:01,520 Speaker 1: growth has been about two percent a year. Clearly, they're 131 00:07:01,640 --> 00:07:06,760 Speaker 1: using the debt to pay down high expensive borrowing from 132 00:07:06,760 --> 00:07:09,360 Speaker 1: the past, UM, and they have used it to buy 133 00:07:09,360 --> 00:07:12,600 Speaker 1: back stock. It's true, UM, the consumer has a strong 134 00:07:12,640 --> 00:07:15,559 Speaker 1: balance sheet to slowdown. That we're seeing now is part 135 00:07:15,600 --> 00:07:18,720 Speaker 1: of a pattern where they have shown remarkable prudence for 136 00:07:18,760 --> 00:07:22,800 Speaker 1: American consumers UM, where they if they're savings rate falls 137 00:07:22,840 --> 00:07:24,720 Speaker 1: a little low, they pull in their horn and re 138 00:07:24,960 --> 00:07:27,840 Speaker 1: establish a stronger savings right. And that's what they're doing. 139 00:07:28,120 --> 00:07:30,320 Speaker 1: So I think later this year they will actually begin 140 00:07:30,360 --> 00:07:32,880 Speaker 1: to pick up. I know that there's some constraints in 141 00:07:32,920 --> 00:07:36,840 Speaker 1: the labor market, but um uh that that can be resolved. 142 00:07:38,400 --> 00:07:42,600 Speaker 1: The consumers are powering this economy still, so they're as 143 00:07:43,280 --> 00:07:45,200 Speaker 1: Milton has Roddy, thank you very much. Milton is the 144 00:07:45,200 --> 00:07:49,360 Speaker 1: independent economics and Investment Strategy consultant, a Chief Economists or 145 00:07:49,480 --> 00:08:06,239 Speaker 1: vested Joining us here, Paul, there is a big question 146 00:08:06,320 --> 00:08:08,840 Speaker 1: in the era of big data and companies getting a 147 00:08:08,880 --> 00:08:12,200 Speaker 1: lot of it, the digitization of everything, what are the 148 00:08:12,280 --> 00:08:16,480 Speaker 1: potential implications from a regulatory standpoint for individual investors who 149 00:08:16,480 --> 00:08:19,360 Speaker 1: log onto their app or connect to some kind of 150 00:08:19,400 --> 00:08:22,280 Speaker 1: advisory firm that uses an app or uses some machine 151 00:08:22,360 --> 00:08:25,480 Speaker 1: learning behind it to understand their client. What are the 152 00:08:25,480 --> 00:08:27,920 Speaker 1: potential risks here? And joining us now, I'm very pleased 153 00:08:27,920 --> 00:08:29,520 Speaker 1: to say. Somebody who's given a lot of thought to 154 00:08:29,520 --> 00:08:31,920 Speaker 1: this Gregory LeBlanc. He has a lectured at Host School 155 00:08:31,960 --> 00:08:34,959 Speaker 1: of Business at Berkeley Law School. He is uh here 156 00:08:35,080 --> 00:08:38,000 Speaker 1: with us in Scottsdale, but University of California Berkeley is 157 00:08:38,000 --> 00:08:40,960 Speaker 1: also I'm sure beautiful right now, So uh, as a professor, 158 00:08:41,000 --> 00:08:42,319 Speaker 1: what's your sense of this? I mean, what is the 159 00:08:42,320 --> 00:08:44,720 Speaker 1: potential risk here? Well, if you think about a financial 160 00:08:44,720 --> 00:08:46,920 Speaker 1: advisor is someone that you know. Usually you want, you 161 00:08:46,920 --> 00:08:49,200 Speaker 1: want to trust, right, They're not somebody that you want 162 00:08:49,240 --> 00:08:51,199 Speaker 1: have an arm's length relationship. If you want them to 163 00:08:51,280 --> 00:08:55,200 Speaker 1: provide you with high quality service, high quality advice, then they, 164 00:08:55,240 --> 00:08:58,440 Speaker 1: like your doctor, like your lawyer, right, have to get 165 00:08:58,480 --> 00:09:01,040 Speaker 1: your trust, and that means you're gonna give them a 166 00:09:01,040 --> 00:09:03,960 Speaker 1: ton of information. I mean, right now, robo advisors ask 167 00:09:04,040 --> 00:09:07,680 Speaker 1: you things like your age and uh, maybe your planned 168 00:09:07,720 --> 00:09:10,719 Speaker 1: retirement date. Uh, and um, you know your tolerance for 169 00:09:10,880 --> 00:09:14,480 Speaker 1: risk and sort of survey based Um, that's gonna change. Right, 170 00:09:14,480 --> 00:09:18,079 Speaker 1: We're gonna have robo advisors that know you better than 171 00:09:18,080 --> 00:09:20,560 Speaker 1: your mother, right, just like Facebook and Google now know 172 00:09:20,679 --> 00:09:22,640 Speaker 1: you better than your mother based on information that they 173 00:09:22,760 --> 00:09:24,680 Speaker 1: lean from other sources. Well, part of it's gonna be 174 00:09:24,679 --> 00:09:27,240 Speaker 1: information that you provide. You're gonna probably opt into giving 175 00:09:27,240 --> 00:09:29,840 Speaker 1: them lots of information. So for instance, UM, if we 176 00:09:29,880 --> 00:09:32,360 Speaker 1: really want to know your appetite for risk, rather than 177 00:09:32,360 --> 00:09:34,960 Speaker 1: asking you questions, we should observe your behavior. Do you 178 00:09:35,000 --> 00:09:37,439 Speaker 1: go to casinos? Right? Do you bungee jump? Right? That 179 00:09:37,559 --> 00:09:40,520 Speaker 1: sort of thing. That's that's a much more accurate way 180 00:09:40,559 --> 00:09:43,560 Speaker 1: of of of understanding you. Um, and you know we 181 00:09:43,600 --> 00:09:45,719 Speaker 1: want the financial advisor to protect us from our our 182 00:09:45,720 --> 00:09:48,520 Speaker 1: worst h impulses, and so we want them to know 183 00:09:48,559 --> 00:09:50,920 Speaker 1: about our our worst impulses. And so we're gonna we're 184 00:09:50,920 --> 00:09:53,520 Speaker 1: gonna share this information. And so in order for them 185 00:09:53,520 --> 00:09:55,240 Speaker 1: to provide us with high quality service, they need to 186 00:09:55,280 --> 00:09:58,520 Speaker 1: know a lot about us. But as we've seen the 187 00:09:58,520 --> 00:10:01,560 Speaker 1: casino companies also, I want to know a lot about us, 188 00:10:01,600 --> 00:10:03,920 Speaker 1: and and and that they do they use the information 189 00:10:03,920 --> 00:10:05,880 Speaker 1: that they get to uh, you know, make sure we 190 00:10:05,920 --> 00:10:09,400 Speaker 1: leave the casino with less money, right rather than more money. 191 00:10:09,480 --> 00:10:13,400 Speaker 1: So how how have individual investors have their expectations changed 192 00:10:13,440 --> 00:10:16,440 Speaker 1: in terms of how they interact with I don't know 193 00:10:16,480 --> 00:10:19,280 Speaker 1: the consumer finance, whether it's a broker or a banker 194 00:10:19,800 --> 00:10:21,959 Speaker 1: there we how has that change? Well, if you think 195 00:10:21,960 --> 00:10:24,200 Speaker 1: about a typical financial advisor, I mean, the typical financial 196 00:10:24,200 --> 00:10:27,559 Speaker 1: advisor is usually over fifty and their clients are over fifty, 197 00:10:27,640 --> 00:10:29,760 Speaker 1: and most younger people don't really want to deal with 198 00:10:29,760 --> 00:10:32,600 Speaker 1: this this uh, their dad's financial advisor, and so they're 199 00:10:32,640 --> 00:10:35,760 Speaker 1: beginning to put their trust into rob advisors. Right. You know, 200 00:10:35,840 --> 00:10:37,440 Speaker 1: you you open up an app and and then you 201 00:10:37,480 --> 00:10:39,240 Speaker 1: press a few buttons and you don't actually have to 202 00:10:39,720 --> 00:10:43,720 Speaker 1: deal with the the backslapping human right and uh and 203 00:10:43,760 --> 00:10:47,040 Speaker 1: so I think every financial services company realizes this and 204 00:10:47,040 --> 00:10:48,679 Speaker 1: and they're starting to move in that direction. But it's 205 00:10:48,720 --> 00:10:51,920 Speaker 1: not just a consumer facing app, but it's also the 206 00:10:51,920 --> 00:10:54,920 Speaker 1: technology that lies behind it. So have there been any 207 00:10:55,000 --> 00:10:58,840 Speaker 1: instances where a financial advisor that runs a robo advisory 208 00:10:59,520 --> 00:11:02,480 Speaker 1: outlet that judges draw in these millennials? Has there been 209 00:11:02,520 --> 00:11:06,720 Speaker 1: any cases of them using the information to the dutchriment 210 00:11:06,800 --> 00:11:09,040 Speaker 1: of the investors saying, you know, we're going to sell 211 00:11:09,080 --> 00:11:12,560 Speaker 1: them this much riskier thing that gives us bigger fees 212 00:11:12,640 --> 00:11:15,559 Speaker 1: because we know that they bungee jump and they listened 213 00:11:15,600 --> 00:11:18,560 Speaker 1: to Death Metal. Well, okay, that's right, We're not there yet. 214 00:11:18,600 --> 00:11:21,319 Speaker 1: But I mean we all know about Wells Fargo and um, 215 00:11:21,360 --> 00:11:23,160 Speaker 1: you know which a lot of friends who work there, 216 00:11:23,160 --> 00:11:26,120 Speaker 1: and it's a perfectly fine financial institution. But you know, 217 00:11:26,440 --> 00:11:29,079 Speaker 1: you know, any big financial institution is if it doesn't 218 00:11:29,080 --> 00:11:32,319 Speaker 1: have proper controls. Uh, if it has incentives for people 219 00:11:32,360 --> 00:11:35,080 Speaker 1: to generate revenue, then that they're going to use this data. 220 00:11:35,120 --> 00:11:38,760 Speaker 1: So you know, Wells Fargo famously got in trouble because 221 00:11:38,840 --> 00:11:42,800 Speaker 1: they used data for cross marketing purposes and uh, um, 222 00:11:42,840 --> 00:11:45,880 Speaker 1: you know, aggressively, UM created accounts and and you know, 223 00:11:45,960 --> 00:11:49,560 Speaker 1: pursued marketing campaigns for individuals based on what they knew 224 00:11:49,559 --> 00:11:52,480 Speaker 1: about their propensities to buy these different products. Are uh 225 00:11:52,559 --> 00:11:56,160 Speaker 1: not noticed that these products were being obtained for them? Right? 226 00:11:56,280 --> 00:11:59,800 Speaker 1: So I guess one thing that I'm just wondering is 227 00:11:59,840 --> 00:12:02,000 Speaker 1: like how much is this a regulatory issue? How much 228 00:12:02,080 --> 00:12:04,480 Speaker 1: is this something that should be coming from the government, 229 00:12:04,920 --> 00:12:07,199 Speaker 1: and how much is this just a cultural issue in 230 00:12:07,280 --> 00:12:10,160 Speaker 1: each firm, because there's there's really a fuzzy line here. 231 00:12:10,200 --> 00:12:12,480 Speaker 1: You're absolutely right. I mean, it's the same. Really, this 232 00:12:12,600 --> 00:12:14,640 Speaker 1: discussions we're having right now about Facebook, we're gonna be 233 00:12:14,640 --> 00:12:17,439 Speaker 1: having about all of our financial advisors. UM. You know, 234 00:12:17,480 --> 00:12:19,760 Speaker 1: we have a very lazy fair attitude right now where 235 00:12:19,760 --> 00:12:22,480 Speaker 1: people opt in. Uh. The problem with most Americans that 236 00:12:22,520 --> 00:12:24,400 Speaker 1: they say, oh, I believe in privacy, but then if 237 00:12:24,400 --> 00:12:26,319 Speaker 1: you offer a free slice of pizza in exchange for 238 00:12:26,360 --> 00:12:32,400 Speaker 1: their DNA, they take it right. And and so you know, 239 00:12:32,440 --> 00:12:33,840 Speaker 1: I think at some point that the law is going 240 00:12:33,880 --> 00:12:35,640 Speaker 1: to catch up. I mean, I'm not sure whether we're 241 00:12:35,640 --> 00:12:39,680 Speaker 1: gonna copy something like gdp R in Europe, but UM 242 00:12:39,720 --> 00:12:42,679 Speaker 1: and like the big companies are probably going to benefit 243 00:12:42,720 --> 00:12:45,520 Speaker 1: from those kinds of privacy protections. But that kind of 244 00:12:45,559 --> 00:12:48,480 Speaker 1: brings my next question, which is which companies or which 245 00:12:48,520 --> 00:12:52,040 Speaker 1: types of financial institutions are doing this. Well, yeah, well 246 00:12:52,120 --> 00:12:56,280 Speaker 1: nobody yet. OK. So, um, the you know about betterment 247 00:12:56,440 --> 00:12:59,960 Speaker 1: and uh personal capital and financial engines. These are robo 248 00:13:00,040 --> 00:13:02,760 Speaker 1: advisors that have you know, made some headway, and then 249 00:13:02,760 --> 00:13:05,120 Speaker 1: Schwab and Fidelity and some of the others have copied 250 00:13:05,160 --> 00:13:07,800 Speaker 1: what they do. But we're at the very very primitive stage. 251 00:13:07,800 --> 00:13:13,880 Speaker 1: I mean we're at the MySpace era of of you know, 252 00:13:14,280 --> 00:13:17,320 Speaker 1: rob advising. I think, um, you know, there's just so 253 00:13:17,440 --> 00:13:20,480 Speaker 1: much potential here that we're just beginning to scratch the surface. 254 00:13:20,960 --> 00:13:23,880 Speaker 1: So I guess just lastly, in real quick here, do 255 00:13:23,920 --> 00:13:26,600 Speaker 1: you think that there is an appropriate amount of information 256 00:13:27,000 --> 00:13:29,120 Speaker 1: for these rob advisors to collect or do you think 257 00:13:29,160 --> 00:13:31,679 Speaker 1: it's important for them to have all this information? It's 258 00:13:31,720 --> 00:13:34,960 Speaker 1: just having some sort of control as far as how 259 00:13:34,960 --> 00:13:36,840 Speaker 1: they use it. Yeah, I mean, the more information they have, 260 00:13:36,960 --> 00:13:39,040 Speaker 1: the better the job that can do. If you think 261 00:13:39,040 --> 00:13:41,400 Speaker 1: about Facebook, I mean pretty much every ad I get 262 00:13:41,440 --> 00:13:43,480 Speaker 1: on Facebook is totally relevant. I mean I would never 263 00:13:43,720 --> 00:13:47,240 Speaker 1: get rid of my what as soon as I land 264 00:13:47,240 --> 00:13:49,559 Speaker 1: here in Phoenix, I start getting you know things, but oh, 265 00:13:49,600 --> 00:13:51,360 Speaker 1: here are some fun things to do in Phoenix. I'm like, oh, 266 00:13:51,440 --> 00:13:54,200 Speaker 1: this is great information, right because they know me well. Um, 267 00:13:54,280 --> 00:13:56,600 Speaker 1: but you know you you darn well better trust them. 268 00:13:56,640 --> 00:13:59,440 Speaker 1: And if they lose your trust, then they lose your business. 269 00:13:59,640 --> 00:14:02,400 Speaker 1: And and so you know, the companies that have the 270 00:14:02,480 --> 00:14:05,200 Speaker 1: name brands that they have to be very very careful 271 00:14:05,240 --> 00:14:07,880 Speaker 1: that they don't lose the trust of their investors because 272 00:14:07,880 --> 00:14:10,800 Speaker 1: one big scandal and uh, you know Facebook and monopoly, 273 00:14:10,920 --> 00:14:13,079 Speaker 1: but but financial institutions that we have a lot of 274 00:14:13,120 --> 00:14:15,400 Speaker 1: competing financial institutions, and so you know, you can't just 275 00:14:15,480 --> 00:14:17,760 Speaker 1: you can you can't cancel your Facebook account, but hey, 276 00:14:17,880 --> 00:14:19,640 Speaker 1: I can cancel my Morgan Stanley account and you know, 277 00:14:19,720 --> 00:14:21,720 Speaker 1: and and and move it over to you know, Goldman 278 00:14:21,760 --> 00:14:23,560 Speaker 1: Sacks with the click of a mouse. So so I 279 00:14:23,600 --> 00:14:26,360 Speaker 1: think people have to do behave Gregory Leblan, thank you 280 00:14:26,400 --> 00:14:28,600 Speaker 1: so much for joining us. Gregory is the lecturer at 281 00:14:28,600 --> 00:14:31,400 Speaker 1: the Hot School of Business at Berkeley at the University 282 00:14:31,600 --> 00:14:53,120 Speaker 1: of California. We are talking all things asset management, front office, 283 00:14:53,160 --> 00:14:55,520 Speaker 1: back office, the whole thing. Joining us to kind of 284 00:14:55,600 --> 00:14:58,880 Speaker 1: drill down deeper and some key issues is Steve Meyer. 285 00:14:59,160 --> 00:15:02,880 Speaker 1: Steve is a global wealth management services at s c 286 00:15:03,040 --> 00:15:06,560 Speaker 1: I SEI has over three billion dollars under management, spased 287 00:15:06,560 --> 00:15:09,200 Speaker 1: in Oaks, p A. But Steve joins us here in 288 00:15:09,320 --> 00:15:11,880 Speaker 1: Lovely Scottsdale. Steve, thanks for joining us, Thank you for 289 00:15:11,920 --> 00:15:16,200 Speaker 1: having me. Boy your industry. It's just tremendous here about 290 00:15:16,240 --> 00:15:19,080 Speaker 1: all the change that's going on, whether it's regulatory change, 291 00:15:19,120 --> 00:15:23,320 Speaker 1: competitive change, you know, just investors changing how they're investing. 292 00:15:23,680 --> 00:15:26,680 Speaker 1: What is the number one issue that you and your 293 00:15:26,720 --> 00:15:29,680 Speaker 1: attendees here are trying to tackle today. Well, I don't 294 00:15:29,720 --> 00:15:32,360 Speaker 1: think there's one number one. I think everything you listed 295 00:15:32,600 --> 00:15:34,880 Speaker 1: is on the minds here. Um. You look, you look 296 00:15:34,920 --> 00:15:37,080 Speaker 1: at asset management. There's a lot of feed compression and 297 00:15:37,160 --> 00:15:42,120 Speaker 1: pressure on managers today. Regulatory changes, Um, you know, ironically 298 00:15:42,160 --> 00:15:44,280 Speaker 1: we look at them as opportunities to help our clients, 299 00:15:44,320 --> 00:15:46,960 Speaker 1: but they are challenges for our clients. Uh. And then 300 00:15:47,040 --> 00:15:50,120 Speaker 1: really you look at all the new technology coming out 301 00:15:50,160 --> 00:15:53,280 Speaker 1: that can support a manager from how they invest and 302 00:15:53,360 --> 00:15:55,440 Speaker 1: pick stocks all the way through as we started to 303 00:15:55,440 --> 00:15:58,720 Speaker 1: talk about, through their back office, middle office to front office. 304 00:15:58,920 --> 00:16:01,080 Speaker 1: I think that all of that is on their minds 305 00:16:01,080 --> 00:16:04,320 Speaker 1: as well as how is looking forward they differentiate themselves. 306 00:16:04,800 --> 00:16:06,280 Speaker 1: So I think that's one of the key notes of 307 00:16:06,320 --> 00:16:09,320 Speaker 1: this conference to get these clients together, a very diverse 308 00:16:09,320 --> 00:16:11,640 Speaker 1: group of people and firms to start to look at 309 00:16:11,640 --> 00:16:13,840 Speaker 1: the industry not just what's happened, but what's going on 310 00:16:13,920 --> 00:16:15,560 Speaker 1: in the future and how they can kind of talk 311 00:16:15,600 --> 00:16:18,480 Speaker 1: and collaborate and come up with some things that would 312 00:16:18,520 --> 00:16:21,040 Speaker 1: help them in their strategy. So, Steve, let's dig into 313 00:16:21,080 --> 00:16:23,600 Speaker 1: some of the changes that are happening, particularly in the 314 00:16:23,640 --> 00:16:27,480 Speaker 1: processing side. It's not just settlements and and things like that. 315 00:16:27,560 --> 00:16:31,680 Speaker 1: It's also requests for redemptions and deposits in hedge funds 316 00:16:31,760 --> 00:16:33,920 Speaker 1: and other issues. What are some of the big developments 317 00:16:33,920 --> 00:16:36,480 Speaker 1: recently from your end um, Well, I think all of them. 318 00:16:36,840 --> 00:16:39,640 Speaker 1: You know, everything is being driven and there's an understore 319 00:16:39,880 --> 00:16:43,400 Speaker 1: underscore of technology and much of this um when you 320 00:16:43,440 --> 00:16:46,680 Speaker 1: look at the processing side, Uh, really, you have to 321 00:16:46,800 --> 00:16:50,160 Speaker 1: scale and have a very efficient process. Uh So there's 322 00:16:50,160 --> 00:16:53,440 Speaker 1: a ton of enabling technologies that many firms like US 323 00:16:53,440 --> 00:16:55,920 Speaker 1: are looking to employ. But one just not from scaling 324 00:16:55,960 --> 00:16:58,560 Speaker 1: efficiency standpoint, But if you think about it, the back 325 00:16:58,560 --> 00:17:01,160 Speaker 1: office is where it all starts. Um. That's the core 326 00:17:01,160 --> 00:17:03,960 Speaker 1: of the foundation. If you don't have a seamless, well 327 00:17:04,040 --> 00:17:06,919 Speaker 1: processed back office, you're not going to have the best 328 00:17:07,160 --> 00:17:09,680 Speaker 1: front office or investor and experience that you can have. 329 00:17:10,000 --> 00:17:12,280 Speaker 1: The back office is obviously where a lot of the 330 00:17:12,359 --> 00:17:15,320 Speaker 1: data resides too, and in these days you can't go 331 00:17:15,400 --> 00:17:18,320 Speaker 1: too long without someone talking about UH. Folks are looking 332 00:17:18,320 --> 00:17:21,520 Speaker 1: to get into more data analytics, predictive analytics. All of 333 00:17:21,560 --> 00:17:23,200 Speaker 1: that's going to come out of the back office. That's 334 00:17:23,200 --> 00:17:26,080 Speaker 1: where it starts. So that's what's pushing what some of 335 00:17:26,119 --> 00:17:28,240 Speaker 1: the trends were starting to see right now. One of 336 00:17:28,280 --> 00:17:30,199 Speaker 1: the themes obviously that we've heard in the yesset management 337 00:17:30,200 --> 00:17:32,720 Speaker 1: business over the over many years, and I'm certainly here 338 00:17:32,720 --> 00:17:34,879 Speaker 1: I've heard it here just at this conference is UH 339 00:17:35,040 --> 00:17:39,080 Speaker 1: is the pressure on fees that asset managers are dealing with. 340 00:17:39,800 --> 00:17:41,879 Speaker 1: How are so, how are they responding and what are 341 00:17:41,920 --> 00:17:44,280 Speaker 1: some proper responses that you're seeing in the marketplace. Well, 342 00:17:44,280 --> 00:17:45,760 Speaker 1: they a couple of things. I think they're looking at 343 00:17:45,800 --> 00:17:48,840 Speaker 1: what their core strategies are UM. You know, most managers, 344 00:17:48,920 --> 00:17:51,480 Speaker 1: especially multi strap managers are looking and saying, you know, 345 00:17:51,520 --> 00:17:53,480 Speaker 1: where they want to really make their bets for the future, 346 00:17:53,600 --> 00:17:57,040 Speaker 1: what their core investment pisis is UM and they're shuttering 347 00:17:57,040 --> 00:17:59,880 Speaker 1: products that either aren't in favor or aren't really core 348 00:18:00,000 --> 00:18:03,200 Speaker 1: for their strategy to uh So, I think they're trying 349 00:18:03,200 --> 00:18:05,760 Speaker 1: not to be all things to everybody and think that's 350 00:18:06,200 --> 00:18:08,639 Speaker 1: a very good strategy too. They're also focusing on what 351 00:18:08,680 --> 00:18:11,119 Speaker 1: their core is, and their core is managing money and 352 00:18:11,160 --> 00:18:14,600 Speaker 1: focusing on clients. So everything else from their technology infrastructure 353 00:18:14,600 --> 00:18:17,400 Speaker 1: to their processing, if they're doing that in house, they're 354 00:18:17,440 --> 00:18:20,520 Speaker 1: outsourcing it because they're going to firms like ours that 355 00:18:20,520 --> 00:18:22,520 Speaker 1: that's our core, that we can give them a better 356 00:18:22,560 --> 00:18:24,840 Speaker 1: experience and give them more scale in doing that. Do 357 00:18:24,880 --> 00:18:26,600 Speaker 1: you have trouble hiring people to do what you need 358 00:18:26,640 --> 00:18:28,560 Speaker 1: them to do? Now, we've been very blessed. We have 359 00:18:28,560 --> 00:18:32,199 Speaker 1: a very good location our headquarters now Oaks, Pennsylvania. We 360 00:18:32,200 --> 00:18:34,639 Speaker 1: also have a number of offices across the US and 361 00:18:34,760 --> 00:18:38,320 Speaker 1: globally London and Dublin, and we have a really good 362 00:18:38,359 --> 00:18:40,360 Speaker 1: talent base that we can draw from. The reason why 363 00:18:40,400 --> 00:18:42,000 Speaker 1: I ask that is because a lot of people say, 364 00:18:42,080 --> 00:18:44,640 Speaker 1: especially when they're trying to build out their tech specialist, 365 00:18:44,680 --> 00:18:48,040 Speaker 1: because this is a different skill than say processing something 366 00:18:48,080 --> 00:18:52,720 Speaker 1: by facts, especially if you're talking about data analytics. People 367 00:18:52,760 --> 00:18:55,760 Speaker 1: talk about a shortage of eligible employees, but you have 368 00:18:55,840 --> 00:18:58,520 Speaker 1: not found that. No, I mean we we look at 369 00:18:58,600 --> 00:19:02,560 Speaker 1: we hire uh, certain subject matter experts, and you know, 370 00:19:02,600 --> 00:19:05,080 Speaker 1: we bring them in from all others all over, so 371 00:19:05,160 --> 00:19:07,080 Speaker 1: some of them might have to be relocated. But then 372 00:19:07,119 --> 00:19:08,960 Speaker 1: we do do a very good job of training people. 373 00:19:09,000 --> 00:19:11,719 Speaker 1: So we do a balance of hiring and getting locate 374 00:19:11,800 --> 00:19:14,399 Speaker 1: that talent outside as well as putting together a pretty 375 00:19:14,400 --> 00:19:16,960 Speaker 1: good training program to train up the personnel we need. 376 00:19:17,280 --> 00:19:20,720 Speaker 1: How about just real quickly twenty seconds US versus let's 377 00:19:20,720 --> 00:19:22,920 Speaker 1: say Europe. What how's the regulatory or just the competitive 378 00:19:22,960 --> 00:19:26,320 Speaker 1: environment in your versus here? Well, I'd say the regulatory Uh, 379 00:19:26,480 --> 00:19:30,280 Speaker 1: it's tough across the lobe, but especially outside the US 380 00:19:30,440 --> 00:19:34,680 Speaker 1: and the European UH sector is very tough. Rules are changing, 381 00:19:35,000 --> 00:19:37,720 Speaker 1: they seem to be changing daily. Uh. They seem to 382 00:19:37,760 --> 00:19:40,560 Speaker 1: be getting tougher. Uh. There seems to be quite a 383 00:19:41,200 --> 00:19:44,399 Speaker 1: large gate uh you know for asset managers there too 384 00:19:44,480 --> 00:19:47,119 Speaker 1: to hurdle. And but again we look at this as 385 00:19:47,160 --> 00:19:50,400 Speaker 1: an opportunity for us to help managers navigate that. Thank 386 00:19:50,440 --> 00:19:52,200 Speaker 1: you so much for being with us and for having 387 00:19:52,280 --> 00:19:55,560 Speaker 1: us here. Stiff, head of Global Wealth Management Services at SEI, 388 00:19:56,119 --> 00:19:58,960 Speaker 1: which oversees more than three hundred billion dollars and also 389 00:19:59,040 --> 00:20:01,320 Speaker 1: serves a variety of clients from hedge funds to big 390 00:20:01,320 --> 00:20:21,200 Speaker 1: asset managers with the intricacies of making it work. One 391 00:20:21,280 --> 00:20:24,080 Speaker 1: aspect that's driving markets a bit higher today is the 392 00:20:24,119 --> 00:20:28,280 Speaker 1: fact that China is apparently giving more fiscal stimulus, particularly 393 00:20:28,280 --> 00:20:31,240 Speaker 1: to its manufacturing sector. Joining us now Tom or Like, 394 00:20:31,480 --> 00:20:34,919 Speaker 1: chief economist for Bloomberg Economics, to discuss kind of what 395 00:20:35,119 --> 00:20:39,520 Speaker 1: this tax break is that they are giving particularly to manufacturers, 396 00:20:39,760 --> 00:20:43,720 Speaker 1: and whether markets are accurately reflecting the boost. So Tom, 397 00:20:43,760 --> 00:20:45,959 Speaker 1: what is this VAT tax that we're talking about here 398 00:20:45,960 --> 00:20:49,080 Speaker 1: and what did China do? So we've got the National 399 00:20:49,119 --> 00:20:52,320 Speaker 1: People's Congress coming up this week, Lisa. Tomorrow, we're going 400 00:20:52,359 --> 00:20:56,119 Speaker 1: to get Premier Lika Chiang giving his annual work reports 401 00:20:56,440 --> 00:21:00,119 Speaker 1: UM to the Chinese legislature. So the V eight T 402 00:21:00,720 --> 00:21:02,880 Speaker 1: is going to be part of it. And we've got 403 00:21:02,880 --> 00:21:05,760 Speaker 1: a Bloomberg News scoop suggesting a cut in the v 404 00:21:05,880 --> 00:21:08,960 Speaker 1: A T rate which could be worth around nor point 405 00:21:09,080 --> 00:21:12,399 Speaker 1: six percent of g D rate or what is this 406 00:21:12,520 --> 00:21:17,359 Speaker 1: in practical terms? So this is the the value added tax. 407 00:21:17,480 --> 00:21:21,359 Speaker 1: So it's a tax which businesses pay on the value 408 00:21:21,400 --> 00:21:25,879 Speaker 1: added component of their manufacturing UM. The bigger picture, though, Lisa, 409 00:21:26,560 --> 00:21:31,119 Speaker 1: is that um China's policymakers have recognized that they've pushed 410 00:21:31,119 --> 00:21:33,600 Speaker 1: all the buttons that they can push in terms of 411 00:21:33,600 --> 00:21:37,120 Speaker 1: monetary policy, and so when the economy needs more support, 412 00:21:37,280 --> 00:21:39,920 Speaker 1: like it does in two thousand and nineteen, it has 413 00:21:39,960 --> 00:21:43,000 Speaker 1: to come from fiscal channels. So part of it is 414 00:21:43,040 --> 00:21:45,439 Speaker 1: probably going to be this v A T cut, But 415 00:21:45,480 --> 00:21:48,520 Speaker 1: the bigger picture is that we're expecting a larger fiscal 416 00:21:48,600 --> 00:21:52,240 Speaker 1: deficit target for two thousand and nineteen. We think if 417 00:21:52,240 --> 00:21:55,919 Speaker 1: you add up the central government deficit some special bonds 418 00:21:55,960 --> 00:21:58,320 Speaker 1: which they're going to ally the local governments to issue, 419 00:21:58,600 --> 00:22:00,840 Speaker 1: we could be looking at a fiscal to sit target 420 00:22:00,880 --> 00:22:04,160 Speaker 1: of about five pc of GDP for the year. That's 421 00:22:04,200 --> 00:22:06,600 Speaker 1: including the v A T cut that we were suggesting. 422 00:22:06,960 --> 00:22:09,800 Speaker 1: So China's policy makers lining up to give a pretty 423 00:22:09,840 --> 00:22:13,400 Speaker 1: significant fiscal boost to growth in two thousand and nineteen. 424 00:22:13,880 --> 00:22:16,360 Speaker 1: Maybe the Chinese economy this year is going to look 425 00:22:16,359 --> 00:22:18,879 Speaker 1: a bit like the US economy last year with that 426 00:22:18,960 --> 00:22:21,879 Speaker 1: big turbo charge from the Trump tax cut. And I 427 00:22:21,920 --> 00:22:23,960 Speaker 1: think that's why we're seeing a bit of optimism creeping 428 00:22:23,960 --> 00:22:26,440 Speaker 1: into the markets. So Tom, let me let me just 429 00:22:26,480 --> 00:22:28,320 Speaker 1: start off here I mean you and I known each 430 00:22:28,359 --> 00:22:29,719 Speaker 1: other for a while. How many years did you live 431 00:22:29,760 --> 00:22:32,760 Speaker 1: in Beijing studying the Chinese economy? Um? I was there 432 00:22:32,760 --> 00:22:35,080 Speaker 1: eleven years, Paul, Like, I got it just before my 433 00:22:35,160 --> 00:22:37,960 Speaker 1: lungs gave in. All right, so you know what's going 434 00:22:38,000 --> 00:22:40,440 Speaker 1: on there. So let me give you just get your 435 00:22:40,440 --> 00:22:42,879 Speaker 1: opinion on these on again, off again trade talks. They 436 00:22:42,920 --> 00:22:45,639 Speaker 1: seem to be back on again. My question to you is, 437 00:22:45,760 --> 00:22:49,560 Speaker 1: will there be anything substantive in these trade talks number 438 00:22:49,560 --> 00:22:53,560 Speaker 1: one and number two? Uh? Can we verify that China's 439 00:22:53,560 --> 00:22:56,879 Speaker 1: actually will will actually you know, kind of uh do 440 00:22:56,920 --> 00:22:59,239 Speaker 1: what they say they're gonna do. I think there's going 441 00:22:59,280 --> 00:23:01,159 Speaker 1: to there's going to be a bunch of components to 442 00:23:01,240 --> 00:23:04,119 Speaker 1: this pool, and as you suggest, verification is going to 443 00:23:04,200 --> 00:23:07,280 Speaker 1: be absolutely key for the US side. Um, So, I 444 00:23:07,359 --> 00:23:11,240 Speaker 1: think we're going to get some immediate results. There's going 445 00:23:11,280 --> 00:23:14,800 Speaker 1: to be a dollar amount which China agrees to buy, 446 00:23:14,920 --> 00:23:18,280 Speaker 1: whether it's soybeans or natural gas or corn or whatever. 447 00:23:18,520 --> 00:23:20,439 Speaker 1: But there's going to be a dollar amount for a 448 00:23:20,480 --> 00:23:23,159 Speaker 1: specific amount of purchases which China commits to make to 449 00:23:23,200 --> 00:23:25,720 Speaker 1: reduce the trade deficit. And then there's going to be 450 00:23:25,800 --> 00:23:28,600 Speaker 1: some immediate things right, So there'll be some immediate things 451 00:23:28,640 --> 00:23:33,480 Speaker 1: around allowing businesses from the US to operate as wholly 452 00:23:33,520 --> 00:23:37,280 Speaker 1: owned foreign ventures in China, not forcing them into joint ventures. 453 00:23:37,880 --> 00:23:41,600 Speaker 1: The more difficult things though, can we protect intellectual property, 454 00:23:42,000 --> 00:23:45,119 Speaker 1: Can we reduce subsidies to stay owned firms. Can we 455 00:23:45,119 --> 00:23:47,640 Speaker 1: allow foreign firms to operate on a level playing field 456 00:23:47,680 --> 00:23:50,159 Speaker 1: in China? These are clearly things which you can't do 457 00:23:50,240 --> 00:23:51,800 Speaker 1: in a week or a month or even a year. 458 00:23:52,119 --> 00:23:53,879 Speaker 1: So that's why there's going to be a need for 459 00:23:53,920 --> 00:23:57,440 Speaker 1: an enforcement mechanism to go into place. So meanwhile, as 460 00:23:57,480 --> 00:23:59,840 Speaker 1: these trade talks continue, the reason why people are so 461 00:24:00,080 --> 00:24:02,320 Speaker 1: interested in the v A T tax or sort of 462 00:24:02,320 --> 00:24:05,399 Speaker 1: some of these fiscal stimulus measures is there is a 463 00:24:05,520 --> 00:24:08,680 Speaker 1: question of how much the Chinese economy is slowing down 464 00:24:08,760 --> 00:24:11,680 Speaker 1: in the meantime and how much ammunition they have left 465 00:24:11,800 --> 00:24:14,479 Speaker 1: frankly get it going again. I mean, it's still growing, 466 00:24:14,560 --> 00:24:17,000 Speaker 1: but at that six percent target rate that they would 467 00:24:17,040 --> 00:24:19,320 Speaker 1: like to see. So what's your view on that. Do 468 00:24:19,320 --> 00:24:21,399 Speaker 1: you think that they have enough juice to kind of 469 00:24:21,640 --> 00:24:24,800 Speaker 1: kind of get that going. Yeah, it's a slightly sort 470 00:24:24,800 --> 00:24:28,960 Speaker 1: of complex and unsatisfactory answer, Lisa, But um, they've got 471 00:24:29,080 --> 00:24:33,639 Speaker 1: less we're used to those they've got left. They've clearly 472 00:24:33,680 --> 00:24:36,480 Speaker 1: got less firepower than they did. Um. If you look 473 00:24:36,520 --> 00:24:39,080 Speaker 1: at the economy as a whole, debt is around two 474 00:24:39,440 --> 00:24:42,120 Speaker 1: and fifty of g d P. That's a lot of debt. 475 00:24:42,320 --> 00:24:45,840 Speaker 1: So they've got less firepower than they did have. Even so, 476 00:24:46,480 --> 00:24:50,320 Speaker 1: government debt is still relatively under control. The banking system 477 00:24:50,359 --> 00:24:53,600 Speaker 1: as well funded. So if they need to stimulate this year, 478 00:24:53,800 --> 00:24:56,840 Speaker 1: next year, the year after, I didn't see a huge 479 00:24:56,920 --> 00:25:00,239 Speaker 1: problem with that. I still think the structure are all 480 00:25:00,640 --> 00:25:03,120 Speaker 1: drag on China. The kind of the point where they're 481 00:25:03,160 --> 00:25:05,520 Speaker 1: out of ammunition. I think we're talking about in the 482 00:25:05,520 --> 00:25:09,320 Speaker 1: mid twenty twenties, not the next two or three years. Hey, Tom, 483 00:25:09,359 --> 00:25:11,439 Speaker 1: just real quickly, in the next twenty seconds. Um, you 484 00:25:11,440 --> 00:25:13,320 Speaker 1: know the China. What have you believe that GDP is 485 00:25:13,359 --> 00:25:16,200 Speaker 1: a six or six percent growth number for them? We've 486 00:25:16,200 --> 00:25:18,240 Speaker 1: heard much lower potentially, what do you think that real 487 00:25:18,320 --> 00:25:21,800 Speaker 1: number is? So the question I have for the datas 488 00:25:21,840 --> 00:25:25,480 Speaker 1: on China's GDP data is you seem really happy to 489 00:25:25,520 --> 00:25:29,440 Speaker 1: believe that credit growth is super fast. If credit grades 490 00:25:29,600 --> 00:25:33,000 Speaker 1: super fast and that's going into some kind of meaningful activity, 491 00:25:33,240 --> 00:25:36,120 Speaker 1: then there has to be some growth so we think 492 00:25:36,160 --> 00:25:39,600 Speaker 1: there's smoothing in the GDP numbers, but we're skeptical that 493 00:25:39,640 --> 00:25:44,920 Speaker 1: they're real numbers, very far below what the official data suggests. Interesting, okay, 494 00:25:44,960 --> 00:25:48,760 Speaker 1: because we've heard numbers you know, significant or maybe exactly 495 00:25:49,000 --> 00:25:51,800 Speaker 1: Tom more like, thank you very much. Tom again, eleven 496 00:25:51,880 --> 00:25:55,199 Speaker 1: years in China studying the economy, so he is certainly 497 00:25:55,200 --> 00:25:58,800 Speaker 1: the go to person here. Tom's chief economist for Bloombrick Economics. 498 00:25:58,800 --> 00:26:01,000 Speaker 1: He joined us on the phone and from Washington, d C. 499 00:26:01,400 --> 00:26:03,639 Speaker 1: Thanks for listening to the Bloomberg P and L podcast. 500 00:26:03,800 --> 00:26:06,400 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts 501 00:26:06,480 --> 00:26:09,440 Speaker 1: or whatever podcast platform you prefer. I'm Paul Sweeney. I'm 502 00:26:09,480 --> 00:26:12,200 Speaker 1: on Twitter at pt Sweeney. I'm Lisa Abram Woyds. I'm 503 00:26:12,200 --> 00:26:15,080 Speaker 1: on Twitter at Lisa A. Bram Woyds. One. Before the podcast, 504 00:26:15,119 --> 00:26:17,720 Speaker 1: you can always catch us worldwide. I'm Bloomberg Radio