1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penel podcast. I'm Paul swing you, 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa Brahma wits 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 Penil podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:24,480 Speaker 1: at Bloomberg dot com. I just had a great discussion 8 00:00:24,640 --> 00:00:27,080 Speaker 1: with Elena McWilliams and chairman of the f d I 9 00:00:27,160 --> 00:00:29,880 Speaker 1: see here at the Fintech conference. We spent an hour 10 00:00:29,920 --> 00:00:32,479 Speaker 1: on stage talking about the f d i C and 11 00:00:32,720 --> 00:00:36,960 Speaker 1: its role in managing the growth of technology within the 12 00:00:36,960 --> 00:00:40,559 Speaker 1: financial services of business. Elena, thanks so much for joining us. 13 00:00:41,000 --> 00:00:42,400 Speaker 1: You know, I think one of the big things we've 14 00:00:42,400 --> 00:00:45,199 Speaker 1: talked about was, you know, certainly from your perspective, if 15 00:00:45,240 --> 00:00:47,440 Speaker 1: the f d i C is trying to balance kind 16 00:00:47,440 --> 00:00:52,800 Speaker 1: of the fostering innovation within the financial services industry through fintech, 17 00:00:53,080 --> 00:00:55,240 Speaker 1: through crypto, all those cool things that we're reading about 18 00:00:55,240 --> 00:00:58,360 Speaker 1: while at the same time protecting consumers, protecting the banks, 19 00:00:58,400 --> 00:01:01,880 Speaker 1: protecting the system. Gives us how you walk that line. 20 00:01:02,520 --> 00:01:04,160 Speaker 1: It's by the way, thank you for having me. It's 21 00:01:04,160 --> 00:01:06,800 Speaker 1: a pleasure to be here today. It's a fine balance 22 00:01:06,920 --> 00:01:10,360 Speaker 1: we have to strike as regular regulatory bodies in Washington. 23 00:01:10,800 --> 00:01:14,040 Speaker 1: You want to encourage innovation, You want to encourage entrepreneurship 24 00:01:14,080 --> 00:01:17,120 Speaker 1: with these banking entities because you want the banking activity 25 00:01:17,160 --> 00:01:20,520 Speaker 1: to take place at the banks. And at the same time, 26 00:01:20,560 --> 00:01:24,000 Speaker 1: if you overregulated, if you don't give banks certainty on 27 00:01:24,000 --> 00:01:27,200 Speaker 1: how to innovate and engage with tech companies, the banking 28 00:01:27,240 --> 00:01:29,319 Speaker 1: services and products are going to go outside of the 29 00:01:29,319 --> 00:01:32,160 Speaker 1: banks and we will have a less of an ability 30 00:01:32,200 --> 00:01:36,120 Speaker 1: to regulate them appropriately and provide for consumer protection if 31 00:01:36,160 --> 00:01:38,360 Speaker 1: those things are done outside of the of the banking 32 00:01:38,520 --> 00:01:42,080 Speaker 1: regulatory agencies sphere of influence and so there there's a 33 00:01:42,200 --> 00:01:45,080 Speaker 1: there's a dual purpose here. One is you want banks 34 00:01:45,120 --> 00:01:47,720 Speaker 1: to innovate because they have to stay competitive. Especially for 35 00:01:47,800 --> 00:01:51,440 Speaker 1: small banks, they're suffering from the economies of scale, basically 36 00:01:51,520 --> 00:01:55,600 Speaker 1: decimating their ability to attract new customers and grow UH 37 00:01:55,600 --> 00:01:59,480 Speaker 1: and competely some of their much larger counterparties. And at 38 00:01:59,520 --> 00:02:01,840 Speaker 1: the same time time you don't want so much activity 39 00:02:01,880 --> 00:02:05,720 Speaker 1: to leave the banks that that you're increasing systemic risk 40 00:02:05,800 --> 00:02:09,560 Speaker 1: outside of the banks and UH and unable to regulate 41 00:02:09,600 --> 00:02:12,280 Speaker 1: it from a federal perspective, So it's a fine blunt balance. 42 00:02:12,360 --> 00:02:14,440 Speaker 1: So which innovations are you talking about here? Is sort 43 00:02:14,440 --> 00:02:18,280 Speaker 1: of online loans and sort of underwriting standards in that way? 44 00:02:18,600 --> 00:02:25,079 Speaker 1: Is it uh bitcoin and cyber you know, different crypto assets? What? What? 45 00:02:25,240 --> 00:02:27,840 Speaker 1: What innovations are sort of the most exciting and the 46 00:02:27,840 --> 00:02:30,640 Speaker 1: most dangerous from your perspective. So among the most exciting 47 00:02:30,680 --> 00:02:33,720 Speaker 1: are the ability of banks now to reach the unbanked 48 00:02:33,720 --> 00:02:36,799 Speaker 1: and underbanked customers through some of the fintech companies and 49 00:02:36,840 --> 00:02:39,120 Speaker 1: the channels that otherwise would not would not have been 50 00:02:39,120 --> 00:02:41,520 Speaker 1: available to the banks or the customers. And so there's 51 00:02:41,520 --> 00:02:44,120 Speaker 1: a potential for this new technology and and the banking 52 00:02:44,160 --> 00:02:47,119 Speaker 1: services to be offered to millions of people that would 53 00:02:47,160 --> 00:02:49,440 Speaker 1: have been left out of the banking system but for 54 00:02:49,440 --> 00:02:51,800 Speaker 1: the fact that technology is now making the banking services 55 00:02:51,800 --> 00:02:54,440 Speaker 1: and products accessible to them. On the other hand, you 56 00:02:54,520 --> 00:02:57,480 Speaker 1: have to be careful about balancing the risk that some 57 00:02:57,560 --> 00:03:01,400 Speaker 1: of these entities and products, including crypto uh assets and 58 00:03:01,440 --> 00:03:04,640 Speaker 1: cryptox changes bring to the system. Where you want to 59 00:03:04,840 --> 00:03:07,120 Speaker 1: you want to encourage innovation, but you don't want to 60 00:03:07,160 --> 00:03:09,560 Speaker 1: introduce so much risk in the into the system that 61 00:03:09,680 --> 00:03:13,200 Speaker 1: you're unable to understand how that risk will percolate throughout 62 00:03:13,200 --> 00:03:15,160 Speaker 1: the system and what the end products will be for 63 00:03:15,160 --> 00:03:17,760 Speaker 1: the customer and financial stability as well. So how does 64 00:03:17,800 --> 00:03:19,880 Speaker 1: that come to the attention to the f d i C. 65 00:03:20,200 --> 00:03:23,560 Speaker 1: Is it there's some group of cool kids from Silicon 66 00:03:23,639 --> 00:03:25,400 Speaker 1: Valley come to Washington, d C. And say, Hey, we've 67 00:03:25,440 --> 00:03:27,800 Speaker 1: got this new technology. We want to deploy it across 68 00:03:27,840 --> 00:03:30,560 Speaker 1: the banking system. How does it come to the attention 69 00:03:30,800 --> 00:03:32,880 Speaker 1: of the f d i C all this technological change, 70 00:03:32,880 --> 00:03:35,040 Speaker 1: which it's a great question. Occasionally we do get folks 71 00:03:35,080 --> 00:03:37,920 Speaker 1: in in hoodies and and the broken stocks showing up 72 00:03:37,920 --> 00:03:39,520 Speaker 1: at the f d i C and and telling us 73 00:03:39,520 --> 00:03:42,240 Speaker 1: about the new technology. Um. Most often the way it 74 00:03:42,280 --> 00:03:45,160 Speaker 1: happens is that a bank will consider a partnership or 75 00:03:45,160 --> 00:03:47,800 Speaker 1: teaming up with a tech company, or they have already 76 00:03:48,000 --> 00:03:49,960 Speaker 1: done some partnering with a tech company, and they will 77 00:03:49,960 --> 00:03:51,600 Speaker 1: come to us and say, exactly, how do you want 78 00:03:51,680 --> 00:03:55,080 Speaker 1: us to position ourselves visa v this company? And how 79 00:03:55,120 --> 00:03:57,280 Speaker 1: do you how are you going to regulate our relationship 80 00:03:57,320 --> 00:03:59,520 Speaker 1: with that company. So then that's where the fda C 81 00:03:59,640 --> 00:04:01,880 Speaker 1: steps in, and we want to understand how that the 82 00:04:01,960 --> 00:04:05,720 Speaker 1: third party companies and technology companies in particular offer their 83 00:04:05,720 --> 00:04:08,120 Speaker 1: products and services and how they're teaming up with these banks, 84 00:04:08,120 --> 00:04:10,680 Speaker 1: and how banks are managing that risk. And in the end, 85 00:04:10,720 --> 00:04:12,920 Speaker 1: we have to protect the deposit insurance system, and we 86 00:04:13,000 --> 00:04:15,120 Speaker 1: have to protect consumers, and we have to make sure 87 00:04:15,160 --> 00:04:17,120 Speaker 1: their safety and soundness in the system so that the 88 00:04:17,160 --> 00:04:19,720 Speaker 1: system functions well. And so it's it's a it's a 89 00:04:19,720 --> 00:04:23,560 Speaker 1: constant find balancing act that we do as a regulatory agency. 90 00:04:23,600 --> 00:04:26,320 Speaker 1: When you're talking about catering to the unbanked, I'm thinking 91 00:04:26,360 --> 00:04:31,040 Speaker 1: about alternative measures of whether somebody's going to repay their debt, 92 00:04:31,200 --> 00:04:34,560 Speaker 1: right the idea of looking at say Facebook, or looking 93 00:04:34,560 --> 00:04:38,000 Speaker 1: at their interactions elsewhere online and using that as sort 94 00:04:38,040 --> 00:04:40,440 Speaker 1: of a metric to determine whether they're going to be 95 00:04:40,560 --> 00:04:44,720 Speaker 1: credit worthy rather than just a FICO score. How much 96 00:04:44,800 --> 00:04:47,360 Speaker 1: do you've used some of these measures as being insufficient 97 00:04:47,440 --> 00:04:51,760 Speaker 1: and leading to people being getting loans that perhaps are 98 00:04:51,839 --> 00:04:55,120 Speaker 1: not going to pay them back. It's it's it's always 99 00:04:55,120 --> 00:04:57,800 Speaker 1: an issue whether people can repay their loan. If you're 100 00:04:58,040 --> 00:05:00,279 Speaker 1: if you're getting into the alternative data and you don't 101 00:05:00,320 --> 00:05:03,559 Speaker 1: have a good credit history behind this consumer traditional credit history. 102 00:05:03,720 --> 00:05:05,960 Speaker 1: Having said that, we have We have talked to companies 103 00:05:05,960 --> 00:05:10,159 Speaker 1: that have pretty strong algorithms to analyze the ability of 104 00:05:10,200 --> 00:05:13,119 Speaker 1: these customers there that for which they're using alternative data 105 00:05:13,440 --> 00:05:16,840 Speaker 1: to respond to their credit needs and how likely are 106 00:05:16,839 --> 00:05:19,640 Speaker 1: they going to pay their bills? And so we're looking 107 00:05:19,680 --> 00:05:22,400 Speaker 1: at that the technology here as a great equalizer or 108 00:05:22,440 --> 00:05:24,919 Speaker 1: as in the past you wouldn't look at the alternative data. 109 00:05:25,040 --> 00:05:28,240 Speaker 1: You would basically not considered a reputable enough data or 110 00:05:28,320 --> 00:05:31,360 Speaker 1: not enough of a credit history per se to to 111 00:05:31,520 --> 00:05:34,520 Speaker 1: uh to to substantiate somebody's ability to pay back the 112 00:05:34,560 --> 00:05:38,039 Speaker 1: loan on its terms and and and conditions. Having said that, 113 00:05:38,080 --> 00:05:40,800 Speaker 1: I think we're now venturing into territory where technology can 114 00:05:40,880 --> 00:05:43,360 Speaker 1: bridge that gap and tell us how consumers are going 115 00:05:43,360 --> 00:05:46,160 Speaker 1: to behave And so we're looking at alternative data at 116 00:05:46,160 --> 00:05:47,880 Speaker 1: the m DA I see and making sure we understand 117 00:05:47,880 --> 00:05:49,760 Speaker 1: to the extended banks are teaming up at companies a 118 00:05:49,800 --> 00:05:53,200 Speaker 1: due alternative data lending, how how that's being done and 119 00:05:53,240 --> 00:05:55,360 Speaker 1: what's the end outcome for the consumer as well as 120 00:05:55,360 --> 00:05:58,440 Speaker 1: for the entities. Yelena McWilliams, thank you so much for 121 00:05:58,440 --> 00:06:00,240 Speaker 1: being with us. Thank you the pleasure to be here today. 122 00:06:00,279 --> 00:06:03,000 Speaker 1: Think about Eleni McWilliams is chair of the f d 123 00:06:03,120 --> 00:06:05,480 Speaker 1: i C which is based in Washington, d C. But 124 00:06:05,560 --> 00:06:08,080 Speaker 1: she is here with us at the Boston Fed for 125 00:06:08,120 --> 00:06:11,400 Speaker 1: opening day of Boston Fintech Week nineteen, which is powered 126 00:06:11,800 --> 00:06:15,159 Speaker 1: by Fintech Sam Box, after just having come off a 127 00:06:15,240 --> 00:06:19,599 Speaker 1: panel which might comes, which survived, and evidently she is 128 00:06:19,600 --> 00:06:21,839 Speaker 1: still speaking with him. This is good. I'm glad to 129 00:06:21,880 --> 00:06:39,480 Speaker 1: see that. I'm very happy to say. I'm being joined 130 00:06:39,560 --> 00:06:42,279 Speaker 1: right now by Brad Leavey. He is global head of 131 00:06:42,279 --> 00:06:45,479 Speaker 1: Loans and Chief executive Officer of Market Serve, which is 132 00:06:45,520 --> 00:06:49,719 Speaker 1: I h S Market UH and he normally is based 133 00:06:49,720 --> 00:06:51,679 Speaker 1: in New York, but he's here with us on site. So, Brad, 134 00:06:51,920 --> 00:06:55,320 Speaker 1: I want to get started with the concept of data 135 00:06:55,400 --> 00:06:59,840 Speaker 1: and how that is becoming intricately connected with the modernization 136 00:07:00,080 --> 00:07:03,039 Speaker 1: of markets. So when you're talking about your world, what 137 00:07:03,120 --> 00:07:07,000 Speaker 1: does it mean to have data that gives you that 138 00:07:07,080 --> 00:07:10,920 Speaker 1: kind of edge? Yeah, So in the loans market and 139 00:07:10,960 --> 00:07:15,040 Speaker 1: the derivatives market, data is tremendously important, and not just data, 140 00:07:15,040 --> 00:07:17,600 Speaker 1: but lots of different types of data, including what people 141 00:07:17,760 --> 00:07:21,000 Speaker 1: term alternative data, which for me is just data that 142 00:07:21,240 --> 00:07:23,760 Speaker 1: is not used in your traditional business day to day 143 00:07:23,800 --> 00:07:28,400 Speaker 1: but may have some insights and be interesting. So, um, 144 00:07:28,440 --> 00:07:31,120 Speaker 1: the data discussion is relative. It's relative to who you 145 00:07:31,160 --> 00:07:33,600 Speaker 1: are and what you're doing. It's relative over time, and 146 00:07:33,680 --> 00:07:37,880 Speaker 1: more importantly, it's dynamic over time where data sets combine 147 00:07:37,920 --> 00:07:40,880 Speaker 1: and create additional data sets on top of the fact 148 00:07:40,960 --> 00:07:44,640 Speaker 1: that you're consuming either base data or alternative data, and 149 00:07:44,640 --> 00:07:48,200 Speaker 1: then the combinations of those alternative data. Are you talking 150 00:07:48,200 --> 00:07:50,680 Speaker 1: about yelp reviews and things like that, and you know, 151 00:07:51,000 --> 00:07:53,400 Speaker 1: is that sort of the concept here? I mean, Yelp 152 00:07:53,400 --> 00:07:56,080 Speaker 1: reviews could be a form of alternative data for sentiment 153 00:07:56,240 --> 00:07:58,880 Speaker 1: on some consumer product, but to an equities trade or 154 00:07:58,920 --> 00:08:02,920 Speaker 1: credit the false swap might be as far as alternative data, 155 00:08:02,960 --> 00:08:05,920 Speaker 1: because an equity trader typically will not be looking at 156 00:08:06,240 --> 00:08:08,520 Speaker 1: credit derivative day to day to day. So it's i'd 157 00:08:08,520 --> 00:08:11,040 Speaker 1: say it's on the edge of what is alternative data 158 00:08:11,120 --> 00:08:14,120 Speaker 1: to that particular instrument trading day to day. Are you 159 00:08:14,160 --> 00:08:16,679 Speaker 1: trying to create data feeds that can then go into 160 00:08:16,720 --> 00:08:20,200 Speaker 1: different algorithms that can then basically be streamed different traders, 161 00:08:20,640 --> 00:08:23,720 Speaker 1: uh and and sort of submitted into their models. Is 162 00:08:23,720 --> 00:08:25,920 Speaker 1: that the idea here? Yeah, So ultimately all data will 163 00:08:25,920 --> 00:08:27,800 Speaker 1: be in feed form. A lot of data today is 164 00:08:27,920 --> 00:08:29,920 Speaker 1: used in terms of people looking at it in action, 165 00:08:30,200 --> 00:08:33,120 Speaker 1: but over time all data will become more digitized or 166 00:08:33,120 --> 00:08:36,200 Speaker 1: more accessible via feeds. When that happens, there's a lot 167 00:08:36,240 --> 00:08:38,480 Speaker 1: of analytics that you can run at the time you're 168 00:08:38,520 --> 00:08:43,240 Speaker 1: consuming that data or after or before UH. Over time, 169 00:08:43,760 --> 00:08:46,480 Speaker 1: those the modernization of the data through feeds allows you 170 00:08:46,520 --> 00:08:49,000 Speaker 1: to do a lot more with it and then action 171 00:08:49,080 --> 00:08:51,240 Speaker 1: that UH that insight that you may be gleaning from 172 00:08:51,320 --> 00:08:53,640 Speaker 1: multiple streams of data, So it's not just one stream 173 00:08:53,679 --> 00:08:56,480 Speaker 1: of data being digitized and the feed it's many streams 174 00:08:56,480 --> 00:08:59,880 Speaker 1: of data being digitized, robust analytics being created around it, 175 00:09:00,040 --> 00:09:02,400 Speaker 1: an insight that you can then action that may result 176 00:09:02,440 --> 00:09:05,640 Speaker 1: in inequity trade you're shutting down a power plant or 177 00:09:05,679 --> 00:09:07,520 Speaker 1: getting into a risk position that you didn't want to 178 00:09:07,520 --> 00:09:09,560 Speaker 1: be in the day before. So then how are people 179 00:09:09,720 --> 00:09:12,920 Speaker 1: using these different feeds and sort of synthesizing them. How 180 00:09:12,960 --> 00:09:15,680 Speaker 1: do they know how to wait all of the different 181 00:09:15,720 --> 00:09:19,920 Speaker 1: points and bring them together. Well, I guess you don't 182 00:09:20,880 --> 00:09:24,720 Speaker 1: UH at any given time, and it's relative over time. 183 00:09:25,000 --> 00:09:27,880 Speaker 1: So today there may be a certain point of data 184 00:09:27,920 --> 00:09:30,440 Speaker 1: that is not interesting at all tomorrow because it's an 185 00:09:30,440 --> 00:09:32,319 Speaker 1: event in the market that could be the most important 186 00:09:32,320 --> 00:09:34,800 Speaker 1: information that you want to get to. So I do 187 00:09:34,880 --> 00:09:38,280 Speaker 1: think there's an element of data both changes over time. 188 00:09:38,559 --> 00:09:42,800 Speaker 1: What is commoditized today, alternative today is commoditized tomorrow. But 189 00:09:42,920 --> 00:09:45,760 Speaker 1: also the macro backdrop of what is going on in 190 00:09:45,760 --> 00:09:49,480 Speaker 1: the world may drive importance of data. And as we 191 00:09:49,559 --> 00:09:52,720 Speaker 1: moved to cloud, as we modernize, as we digitize, as 192 00:09:52,720 --> 00:09:55,800 Speaker 1: sensors proliferate on every device and every person and everything, 193 00:09:56,280 --> 00:09:58,040 Speaker 1: you're going to have a huge amount of data that 194 00:09:58,160 --> 00:10:01,880 Speaker 1: is fed, analyzed, and action. We are in inning three 195 00:10:02,440 --> 00:10:06,000 Speaker 1: of probably a triple header in the modernization of data 196 00:10:06,040 --> 00:10:09,000 Speaker 1: in the world, including the financial services system. It's it's 197 00:10:09,040 --> 00:10:11,640 Speaker 1: I'm smiling because I'm thinking about an article I once 198 00:10:11,679 --> 00:10:14,080 Speaker 1: write about how the US government collects a lot of 199 00:10:14,080 --> 00:10:16,680 Speaker 1: information and a lot of it could be completely useless, 200 00:10:16,679 --> 00:10:19,640 Speaker 1: but with the AI that they sort of overlay on 201 00:10:19,760 --> 00:10:22,199 Speaker 1: top of it, they can discover things. And that's a 202 00:10:22,240 --> 00:10:24,559 Speaker 1: lot of how the big discoveries have been made, and 203 00:10:24,600 --> 00:10:26,880 Speaker 1: they've been made by accident. I want to shoo gears 204 00:10:26,880 --> 00:10:29,199 Speaker 1: a little bit, because you do tabulate all of these 205 00:10:29,280 --> 00:10:32,800 Speaker 1: data points, and you do have access to so many things. 206 00:10:33,360 --> 00:10:36,480 Speaker 1: Do you have a sense of where credit quality is 207 00:10:36,559 --> 00:10:41,000 Speaker 1: kind of leaning these days. Well, I look at the 208 00:10:41,040 --> 00:10:44,760 Speaker 1: markets as a forty year bowl market in rates going down, 209 00:10:45,000 --> 00:10:47,560 Speaker 1: and I would estimate a twenty year bowl market and 210 00:10:47,559 --> 00:10:49,960 Speaker 1: credit going up. We did have an interruption in the 211 00:10:49,960 --> 00:10:53,079 Speaker 1: credit going up seven, eight and nine, or really O 212 00:10:53,160 --> 00:10:56,720 Speaker 1: eight in line um, but it really wasn't a credit event, 213 00:10:56,800 --> 00:10:59,439 Speaker 1: as it was a market event. In my view. It 214 00:10:59,559 --> 00:11:03,880 Speaker 1: definitely manifested around credit, but the reality was there wasn't 215 00:11:03,880 --> 00:11:07,000 Speaker 1: a huge wash out with the exception of several institutions 216 00:11:07,000 --> 00:11:11,320 Speaker 1: in the financial services world. But in terms of a 217 00:11:11,360 --> 00:11:14,319 Speaker 1: major credit event for the world, it felt like that, 218 00:11:14,400 --> 00:11:17,000 Speaker 1: and it seemed to move on within a couple of years. 219 00:11:17,480 --> 00:11:19,400 Speaker 1: I would argue that since the late nineties were in 220 00:11:19,400 --> 00:11:22,800 Speaker 1: that credit boom, and over time things get looser and 221 00:11:23,000 --> 00:11:26,080 Speaker 1: cycles turn, everybody's trying to predict the turn of the 222 00:11:26,080 --> 00:11:31,360 Speaker 1: credit cycle somewhat pinto a recession or some other geopolitical thing. Uh. 223 00:11:31,440 --> 00:11:33,400 Speaker 1: I'm not trying to time anything like that, but I 224 00:11:33,440 --> 00:11:36,040 Speaker 1: do think it's a bit long. I'm not sure things 225 00:11:36,080 --> 00:11:39,680 Speaker 1: are loose as much as there's a lot of financing available, 226 00:11:40,600 --> 00:11:44,199 Speaker 1: and over time those things tend to turn. The question 227 00:11:44,240 --> 00:11:47,600 Speaker 1: will be will it turn gradually or will it turn Uh? 228 00:11:48,240 --> 00:11:50,360 Speaker 1: In a volatile way, or will it be multiple volatile 229 00:11:50,360 --> 00:11:52,360 Speaker 1: turns that will add up over time to a credit event. 230 00:11:52,880 --> 00:11:55,320 Speaker 1: If you don't think that two thousand and eight and 231 00:11:55,360 --> 00:11:59,600 Speaker 1: two thousand nine was a major credit event, what would 232 00:11:59,600 --> 00:12:02,320 Speaker 1: a made or credit event look like. I think it 233 00:12:02,440 --> 00:12:04,960 Speaker 1: was an event in trust in the markets, which is 234 00:12:04,960 --> 00:12:08,520 Speaker 1: the broader concept of credit, maybe, but an actual credit 235 00:12:08,559 --> 00:12:11,880 Speaker 1: event that drives a lot of defaults beyond just a 236 00:12:12,000 --> 00:12:15,360 Speaker 1: few markets in housing, in other areas where they truly 237 00:12:15,400 --> 00:12:18,720 Speaker 1: were major credit events in that market, but in the 238 00:12:18,800 --> 00:12:21,600 Speaker 1: loans market and leverage finance, and the corporate bond markets 239 00:12:21,640 --> 00:12:25,120 Speaker 1: and the student loan markets and consumer credit generally, things 240 00:12:25,200 --> 00:12:29,200 Speaker 1: did get tight. But I personally my view, I don't 241 00:12:29,200 --> 00:12:31,360 Speaker 1: think it was the credit event that had I wash 242 00:12:31,440 --> 00:12:34,160 Speaker 1: out and a reset like the late eighties, for example, 243 00:12:34,480 --> 00:12:37,360 Speaker 1: which we could still experience at some point. Again, in 244 00:12:37,400 --> 00:12:39,640 Speaker 1: the world of physics and chemistry, you would argue that 245 00:12:39,760 --> 00:12:42,240 Speaker 1: things go up and then do come down, and that 246 00:12:42,320 --> 00:12:46,760 Speaker 1: different combinations of elements with physics drives dynamic outcomes and 247 00:12:46,760 --> 00:12:49,240 Speaker 1: that's why it's so hard to protect. Just real quick here, 248 00:12:49,559 --> 00:12:52,080 Speaker 1: we've been talking a lot about financial technologies here at 249 00:12:52,120 --> 00:12:54,480 Speaker 1: the Fintech conference and I guess h when we talk 250 00:12:54,520 --> 00:12:56,720 Speaker 1: about leverage loons, I don't think about a market that's 251 00:12:56,720 --> 00:13:00,280 Speaker 1: particularly advanced technologically. Where are we in terms of moving 252 00:13:00,280 --> 00:13:03,680 Speaker 1: away from fax machines into the modern area there? Yes, 253 00:13:03,720 --> 00:13:06,040 Speaker 1: so there is no doubt that the loans market and 254 00:13:06,120 --> 00:13:09,720 Speaker 1: all markets need an amount of digitization and modernization. UH. 255 00:13:09,720 --> 00:13:12,840 Speaker 1: There are some faxes in the industry that are utilized 256 00:13:12,880 --> 00:13:16,679 Speaker 1: to distribute information around. That's been going on for thirty years. UH. 257 00:13:16,679 --> 00:13:19,400 Speaker 1: In the last several years, we've moved dramatically away from 258 00:13:19,400 --> 00:13:22,920 Speaker 1: faxes into proprietary feeds or more structured feeds that are 259 00:13:22,920 --> 00:13:27,239 Speaker 1: not facts based. But I would argue that there's many 260 00:13:27,280 --> 00:13:30,280 Speaker 1: elements that need to modernize in the loan markets, whether 261 00:13:30,280 --> 00:13:35,200 Speaker 1: it's the documents themselves, facts is being utilized, more direct connectivity, 262 00:13:35,600 --> 00:13:40,200 Speaker 1: it's an heavier asset class that isn't um as digitized. 263 00:13:40,920 --> 00:13:43,080 Speaker 1: But there have been major advances in the last five 264 00:13:43,160 --> 00:13:46,160 Speaker 1: or ten years on incremental digitization that have taken some 265 00:13:46,200 --> 00:13:48,880 Speaker 1: faxes out of our life, have moved more automations from 266 00:13:48,880 --> 00:13:52,520 Speaker 1: documents to a feed. More importantly, have combined many processes 267 00:13:52,800 --> 00:13:55,760 Speaker 1: to take settlement times down from something that may have 268 00:13:55,760 --> 00:13:57,680 Speaker 1: been in the mid twenties to be honest, in terms 269 00:13:57,679 --> 00:14:01,960 Speaker 1: of days and parlans in the US down plus percent 270 00:14:02,000 --> 00:14:04,240 Speaker 1: in the last couple of years, so we've made a 271 00:14:04,280 --> 00:14:06,680 Speaker 1: lot of progress, post Dodd, Frank brad Levy, thank you 272 00:14:06,720 --> 00:14:08,560 Speaker 1: so much for being with it with me today. Brad 273 00:14:08,640 --> 00:14:10,880 Speaker 1: Levy is a global head of loans and chief executive 274 00:14:10,920 --> 00:14:31,840 Speaker 1: Officer of Market Serve of I h S. Market Today. 275 00:14:31,920 --> 00:14:34,360 Speaker 1: We are so lucky to have Dr ellen Wald, President 276 00:14:34,400 --> 00:14:37,880 Speaker 1: of Transversal Consulting. She does contribute also Bloomberg opinion columns. 277 00:14:38,240 --> 00:14:40,840 Speaker 1: Uh and Ellen, you know, I want to start with 278 00:14:40,880 --> 00:14:45,000 Speaker 1: this news that uh, well really frankly, that Saudi a 279 00:14:45,080 --> 00:14:48,960 Speaker 1: Ramco is looking at the richest people in Saudi Arabia 280 00:14:49,040 --> 00:14:52,840 Speaker 1: to basically provide a lynch pin of financing for its 281 00:14:52,880 --> 00:14:55,240 Speaker 1: initial public offering. There seems to be a spate of 282 00:14:55,320 --> 00:14:59,560 Speaker 1: news about this i P. Are we getting closer now, well, 283 00:14:59,640 --> 00:15:01,840 Speaker 1: don't say that we're getting closer. And this is really 284 00:15:02,440 --> 00:15:07,360 Speaker 1: a bombshell of an announcement. Um this report that um 285 00:15:07,400 --> 00:15:10,960 Speaker 1: that Saudi Arabia is looking for rich families essentially in 286 00:15:11,040 --> 00:15:15,080 Speaker 1: the Kingdom to buy into this i P O either 287 00:15:15,160 --> 00:15:18,600 Speaker 1: before or even even possibly after, but probably before it 288 00:15:18,640 --> 00:15:22,600 Speaker 1: goes on on the local Saudi exchange and UM, what's 289 00:15:22,680 --> 00:15:24,960 Speaker 1: what's really intriguing about the report is that some of 290 00:15:25,200 --> 00:15:29,200 Speaker 1: these UM families, in these family businesses, had individuals who 291 00:15:29,200 --> 00:15:33,040 Speaker 1: were arrested and held in the ritz UH in ri 292 00:15:33,160 --> 00:15:36,360 Speaker 1: odd just just they think a few years ago. So 293 00:15:36,640 --> 00:15:39,440 Speaker 1: they say that they're not being pressured. But UM, in 294 00:15:39,480 --> 00:15:42,480 Speaker 1: a country where UM the government is an absolute monarchy, 295 00:15:42,520 --> 00:15:45,880 Speaker 1: can you really say that there's no no pressure there? 296 00:15:46,440 --> 00:15:49,160 Speaker 1: And UH, it would seem to be a sign at 297 00:15:49,240 --> 00:15:52,880 Speaker 1: least to me that international UH, any regulator for an 298 00:15:52,920 --> 00:15:55,800 Speaker 1: international exchange needs to pay very close attention to this, 299 00:15:56,160 --> 00:16:00,840 Speaker 1: because UM international exchange should not be party to anyone 300 00:16:00,960 --> 00:16:04,800 Speaker 1: being coerced in any way to invest. This does seem 301 00:16:04,880 --> 00:16:08,320 Speaker 1: to be a potentially an attempt to maybe artificially prop 302 00:16:08,400 --> 00:16:11,160 Speaker 1: up prices, and we do know that the Saudi's have 303 00:16:11,800 --> 00:16:16,040 Speaker 1: definitely tried to prop up their exchange at certain times. 304 00:16:16,200 --> 00:16:18,280 Speaker 1: I would certainly say that a regulator should be very 305 00:16:18,320 --> 00:16:21,280 Speaker 1: wary of allowing a listing of a business that engages 306 00:16:21,360 --> 00:16:25,840 Speaker 1: in UM kind of a coercive type practices. So you 307 00:16:25,920 --> 00:16:29,160 Speaker 1: raise a really interesting point, which is that it would 308 00:16:29,200 --> 00:16:33,400 Speaker 1: seem that Saudi Arabia engages in practices that don't seem 309 00:16:33,400 --> 00:16:39,360 Speaker 1: necessarily consistent with publicly traded exchanges in developed markets, which 310 00:16:39,440 --> 00:16:43,560 Speaker 1: raises a question would any exchange actually push back on 311 00:16:43,800 --> 00:16:46,360 Speaker 1: Saudi Aramical IPO given the fact that it's a huge 312 00:16:46,440 --> 00:16:49,360 Speaker 1: boon to them to get it listed on their exchange, 313 00:16:50,400 --> 00:16:52,960 Speaker 1: And this is an issue and we do we have 314 00:16:53,040 --> 00:16:57,120 Speaker 1: seen report. We do have reports that UM managers and 315 00:16:57,680 --> 00:17:00,240 Speaker 1: funds in Saudi Arabia have been pressured to buy at 316 00:17:00,280 --> 00:17:03,640 Speaker 1: times to help lift the to double the Saudi exchange. 317 00:17:03,640 --> 00:17:05,959 Speaker 1: So so we do have have some evidence that this 318 00:17:06,480 --> 00:17:08,920 Speaker 1: has occurred in the past, So don't not the only exchange. 319 00:17:08,920 --> 00:17:12,520 Speaker 1: We We've also gotten similar reports from China as well. 320 00:17:12,640 --> 00:17:16,000 Speaker 1: So it really begs the question of whether New York 321 00:17:16,000 --> 00:17:20,440 Speaker 1: Stock Exchange or London Stock Exchange can really legitimately list 322 00:17:20,480 --> 00:17:24,120 Speaker 1: Saudia opponent. It seems almost that UM the Saudis are 323 00:17:24,200 --> 00:17:28,879 Speaker 1: realizing that perhaps a big exchange like New York or 324 00:17:28,920 --> 00:17:31,400 Speaker 1: London is really not the place for them. We do 325 00:17:31,480 --> 00:17:34,880 Speaker 1: now see that they're potentially turning to Tokyo. But this 326 00:17:34,960 --> 00:17:37,919 Speaker 1: issue of where to list and can they list, and 327 00:17:37,960 --> 00:17:41,879 Speaker 1: are they willing to let go of the power that 328 00:17:41,960 --> 00:17:44,080 Speaker 1: they want to have in order to get a listing 329 00:17:44,480 --> 00:17:47,840 Speaker 1: on New York or London. It really seems like perhaps 330 00:17:47,880 --> 00:17:50,400 Speaker 1: this is not meant to be. Yeah, well, and there 331 00:17:50,400 --> 00:17:52,280 Speaker 1: have been a lot of signs of that over time. 332 00:17:52,480 --> 00:17:55,000 Speaker 1: One of them has been the drop in oil prices 333 00:17:55,040 --> 00:17:58,480 Speaker 1: and sort of leads to another development overnight that came out, 334 00:17:58,520 --> 00:18:03,840 Speaker 1: which is that Saudia Saudi Energy Minister uh Prince Abdulaziz 335 00:18:03,920 --> 00:18:07,879 Speaker 1: bin Salmon, he is the new Saudi energy minister. The 336 00:18:07,920 --> 00:18:11,520 Speaker 1: other one was basically pushed out. Can you give us 337 00:18:11,640 --> 00:18:15,320 Speaker 1: some context to this? Well, I wouldn't. I would be 338 00:18:15,359 --> 00:18:17,320 Speaker 1: hesitant to say that he was pushed out. We don't 339 00:18:17,359 --> 00:18:21,399 Speaker 1: really know the reason why um Folly is no longer 340 00:18:21,440 --> 00:18:24,000 Speaker 1: than energy minister either. He could have been pushed out. 341 00:18:24,119 --> 00:18:27,160 Speaker 1: He may have desired to step down at this point 342 00:18:27,240 --> 00:18:30,320 Speaker 1: given what's been going on. So just because we don't 343 00:18:30,320 --> 00:18:33,240 Speaker 1: know for sure what went down there, UM the way 344 00:18:33,240 --> 00:18:35,119 Speaker 1: that they do this inside way was they just issue 345 00:18:35,119 --> 00:18:38,160 Speaker 1: a decree. So it might look like he's been ousted, 346 00:18:38,240 --> 00:18:40,679 Speaker 1: but we we don't really know the details there. But 347 00:18:40,760 --> 00:18:44,760 Speaker 1: it does seem that UM the Saudis were potentially moving 348 00:18:44,760 --> 00:18:47,960 Speaker 1: in this direction. They did remove all Folly as chairman 349 00:18:48,119 --> 00:18:51,560 Speaker 1: of the board of Saudi Aramco and they did um 350 00:18:51,800 --> 00:18:54,840 Speaker 1: divide the Ministry of used to be the Ministry of Energy, 351 00:18:54,880 --> 00:18:58,280 Speaker 1: Industry and Economy just before this, so um it does 352 00:18:58,359 --> 00:19:01,480 Speaker 1: seem like they were making changes in this area. One 353 00:19:01,480 --> 00:19:04,040 Speaker 1: of the reasons I've I've heard is that they want 354 00:19:04,119 --> 00:19:07,760 Speaker 1: to make more of a separation between the oil company 355 00:19:07,840 --> 00:19:11,440 Speaker 1: and the ministry before uh they move on and move 356 00:19:11,480 --> 00:19:14,040 Speaker 1: forward with this i p O. But people have also 357 00:19:14,080 --> 00:19:16,200 Speaker 1: said that, you know, there's a problem with oil prices, 358 00:19:16,600 --> 00:19:19,040 Speaker 1: there's been problems with this i p O. It would 359 00:19:19,040 --> 00:19:21,199 Speaker 1: seem to me that Holida Folly is not to be 360 00:19:21,240 --> 00:19:23,680 Speaker 1: blamed for this. This is an oil market that's been 361 00:19:23,840 --> 00:19:29,680 Speaker 1: ruled by speculation over demand, weakening demand, global economic data 362 00:19:29,720 --> 00:19:32,520 Speaker 1: that is not positive, and the US China trade talks, 363 00:19:32,560 --> 00:19:35,239 Speaker 1: and we look at oil climbing today. Well, there are 364 00:19:35,240 --> 00:19:36,800 Speaker 1: a lot of reasons for it, but one of them 365 00:19:36,880 --> 00:19:39,720 Speaker 1: is that there's some good news on the U S 366 00:19:39,840 --> 00:19:42,480 Speaker 1: China trade talks that they're setting talks for October. So 367 00:19:42,520 --> 00:19:45,520 Speaker 1: I wouldn't be surprised if oil is rising more as 368 00:19:45,520 --> 00:19:47,639 Speaker 1: a result of this than the result of anything that 369 00:19:47,680 --> 00:19:51,200 Speaker 1: Saudi Arabia is saying or doing. It's really good perspective 370 00:19:51,280 --> 00:19:53,359 Speaker 1: on especially because I'm looking at the wording of a 371 00:19:53,359 --> 00:19:56,240 Speaker 1: lot of the stories and it's that that King Salmon 372 00:19:56,560 --> 00:20:00,600 Speaker 1: dismissed the former energy minister and put in uh, this 373 00:20:01,119 --> 00:20:03,840 Speaker 1: heir to the throne. So I mean, I think that 374 00:20:03,920 --> 00:20:05,879 Speaker 1: I think it's important to be cautious about that and 375 00:20:05,880 --> 00:20:08,080 Speaker 1: basically say, we don't know what happened, we don't know 376 00:20:08,119 --> 00:20:10,280 Speaker 1: what the implications are, and that the price moves that 377 00:20:10,320 --> 00:20:13,040 Speaker 1: we're seeing today are not necessarily reflective of this change. 378 00:20:13,200 --> 00:20:15,919 Speaker 1: Dr ellen Wald, thank you again for being with us, 379 00:20:15,960 --> 00:20:19,960 Speaker 1: President of Transversal Consulting. She's also a nonresident Senior Fellow 380 00:20:20,000 --> 00:20:23,359 Speaker 1: at the Atlantic Council's Global Energy Center and a Bloomberg 381 00:20:23,440 --> 00:20:43,439 Speaker 1: Opinion contributor. We are broadcasting live from Fintech Week. We 382 00:20:43,480 --> 00:20:47,320 Speaker 1: are currently in Boston at the Boston Federal Reserve. It 383 00:20:47,400 --> 00:20:51,879 Speaker 1: is being hosted powered by the Fintech Sandbox, and I 384 00:20:51,920 --> 00:20:54,399 Speaker 1: am so happy to say we have with us Dadine Shikar, 385 00:20:54,560 --> 00:20:57,560 Speaker 1: she has head of Global Markets for State Street. Here 386 00:20:57,600 --> 00:20:59,399 Speaker 1: on site. We are going to be doing a panel 387 00:20:59,440 --> 00:21:03,800 Speaker 1: together about human versus Machine in this evolving era of 388 00:21:03,920 --> 00:21:07,520 Speaker 1: technologically fueled markets. And I was left with the question 389 00:21:07,560 --> 00:21:10,399 Speaker 1: when I was really looking into this. Do humans matter 390 00:21:10,440 --> 00:21:14,200 Speaker 1: in public markets anymore? Ultimately, well, machines, what the algorithms? 391 00:21:14,240 --> 00:21:17,199 Speaker 1: Will the artificial intelligence sort of take over when it 392 00:21:17,240 --> 00:21:20,400 Speaker 1: comes to decision making? First of all, good morning and Lisa, 393 00:21:20,440 --> 00:21:22,840 Speaker 1: and thank you for having us to answer your question. 394 00:21:22,880 --> 00:21:25,360 Speaker 1: I think there's always going to be a role for humans, 395 00:21:26,040 --> 00:21:28,520 Speaker 1: uh in the process. And um, you know, when I 396 00:21:28,560 --> 00:21:31,160 Speaker 1: was preparing for this panel, I'm not creature. It's really 397 00:21:31,240 --> 00:21:38,840 Speaker 1: man versus machine. Oh come on, but it's it's it's 398 00:21:38,880 --> 00:21:41,440 Speaker 1: really gonna be. I think it's man plus machine because 399 00:21:41,440 --> 00:21:45,200 Speaker 1: they compliment each other a lot better. Maybe beyond our 400 00:21:45,240 --> 00:21:48,840 Speaker 1: combined lifetime, well we'll see humans being sidelined. But right now, 401 00:21:48,960 --> 00:21:52,040 Speaker 1: you know, the big debate continues to be is artificial 402 00:21:52,080 --> 00:21:54,639 Speaker 1: intelligence really going to replace humans? Or will it augment 403 00:21:54,760 --> 00:21:58,040 Speaker 1: human thinking? And from my perspective and what we look at, 404 00:21:58,119 --> 00:22:01,159 Speaker 1: I think right now it's an augmentation says more than 405 00:22:01,200 --> 00:22:04,919 Speaker 1: anything else. So I believe humans will continue to drive 406 00:22:05,440 --> 00:22:07,960 Speaker 1: butt machines will make the process a lot better and 407 00:22:08,000 --> 00:22:09,879 Speaker 1: faster and hopefully cheaper. All I know is when I 408 00:22:09,920 --> 00:22:11,399 Speaker 1: walk out on a trading floor of any of the 409 00:22:11,440 --> 00:22:14,200 Speaker 1: big New York investment banks, I see a lot fewer 410 00:22:14,200 --> 00:22:16,320 Speaker 1: people than I used to see. There used to be 411 00:22:16,480 --> 00:22:19,240 Speaker 1: a hundred people trading corporate bonds, government bonds, and now 412 00:22:19,280 --> 00:22:21,800 Speaker 1: there's a handful. So do you think technology So that's 413 00:22:22,000 --> 00:22:24,480 Speaker 1: obviously one side effect, but just from the markets, the 414 00:22:24,560 --> 00:22:26,959 Speaker 1: operation of the markets, do you think technology has generally 415 00:22:27,040 --> 00:22:30,520 Speaker 1: been positive for the capital markets? I think it has. 416 00:22:30,600 --> 00:22:34,360 Speaker 1: There's definitely been a convergence between technology and in humans 417 00:22:34,359 --> 00:22:38,640 Speaker 1: when it comes to trading electrific electronification has helped quite 418 00:22:38,720 --> 00:22:41,040 Speaker 1: quite a bit, but you still need humans to write 419 00:22:41,040 --> 00:22:43,880 Speaker 1: those algals to power those machines. And what we're seeing, 420 00:22:43,960 --> 00:22:46,400 Speaker 1: especially at State Street, is what we look for now 421 00:22:46,400 --> 00:22:49,160 Speaker 1: are traders that can code and quoders that can trade, 422 00:22:49,560 --> 00:22:52,160 Speaker 1: and that's where you're really seeing that convergence coming through. 423 00:22:52,240 --> 00:22:56,200 Speaker 1: So yes, less humans manning the phones and more more 424 00:22:56,240 --> 00:22:59,439 Speaker 1: algos taking over, but you still need humans to power 425 00:22:59,520 --> 00:23:02,240 Speaker 1: that that acknowledging that thought process. I love this, the 426 00:23:02,320 --> 00:23:05,080 Speaker 1: sort of Kumbaya moment between humans and machines, arm and 427 00:23:05,280 --> 00:23:12,240 Speaker 1: arm singing, you know exactly. I'm kind of thinking that 428 00:23:12,280 --> 00:23:15,320 Speaker 1: it might be a little more terminator than Kumbaya, But indeed, 429 00:23:15,320 --> 00:23:18,080 Speaker 1: I want to wonder I'm wondering about price discovery in 430 00:23:18,119 --> 00:23:21,400 Speaker 1: this era of algorithms and artificial intelligence and a lot 431 00:23:21,440 --> 00:23:24,160 Speaker 1: of the recent mark of volatility has raising risen questions 432 00:23:24,200 --> 00:23:26,480 Speaker 1: about how smart it is. Right when we talk about 433 00:23:26,520 --> 00:23:29,040 Speaker 1: the humans, at least on our show, they say they're 434 00:23:29,119 --> 00:23:31,960 Speaker 1: long and they're just holding their positions. They're not trading 435 00:23:32,000 --> 00:23:35,200 Speaker 1: on every Trump tweet or every headline. Do you think 436 00:23:35,200 --> 00:23:39,520 Speaker 1: the algorithmic trading has changed the idea of price discovery 437 00:23:39,520 --> 00:23:41,480 Speaker 1: a little bit more? It has, I mean, it's still 438 00:23:41,560 --> 00:23:46,240 Speaker 1: driven by the biases of the people that that that that, right, 439 00:23:46,720 --> 00:23:50,440 Speaker 1: So there's that cognitant bias that's that's dear um. The 440 00:23:50,640 --> 00:23:53,440 Speaker 1: machines make them a lot faster, right, so it helps 441 00:23:53,480 --> 00:23:57,680 Speaker 1: us swift through peg up lots of lots of data 442 00:23:58,080 --> 00:24:00,439 Speaker 1: at the same time, and and and assist with that. 443 00:24:00,800 --> 00:24:05,080 Speaker 1: On the flip side, though, it doesn't understand the subtleness 444 00:24:05,080 --> 00:24:06,919 Speaker 1: of the tweets, if you will, right, So it is 445 00:24:06,920 --> 00:24:10,520 Speaker 1: really the uncertainty that's causing people to sit on the sidelines, 446 00:24:10,640 --> 00:24:12,840 Speaker 1: less of up price discovering and the machines. I've never 447 00:24:12,840 --> 00:24:15,800 Speaker 1: really heard of the tweets described as subtle. Yeah, I 448 00:24:15,880 --> 00:24:17,960 Speaker 1: mean that's not really normally the way that I would 449 00:24:19,160 --> 00:24:21,679 Speaker 1: I'm not quite sure that tweets are subtle, but I 450 00:24:21,720 --> 00:24:25,520 Speaker 1: think the machines being able to distinguish the subtlety of 451 00:24:25,600 --> 00:24:27,680 Speaker 1: the effect of those markets. But that's that's a good 452 00:24:27,680 --> 00:24:31,960 Speaker 1: one with technology is certainly technology nating is certainly accelerated. 453 00:24:32,040 --> 00:24:34,159 Speaker 1: I would say to some extent the you know, the 454 00:24:34,520 --> 00:24:37,760 Speaker 1: passive management active management, the debate, I mean, kind of 455 00:24:37,800 --> 00:24:40,400 Speaker 1: where do you think this is all going to shake 456 00:24:40,440 --> 00:24:43,240 Speaker 1: that we've had, you know, relatively you know, strong market 457 00:24:43,240 --> 00:24:46,159 Speaker 1: of the last ten plus years. Uh, you know the 458 00:24:46,200 --> 00:24:50,639 Speaker 1: passive strategies worked well. Is that the future? Is it 459 00:24:50,760 --> 00:24:55,320 Speaker 1: the future? I don't believe so. Obviously passive A lot 460 00:24:55,359 --> 00:24:57,679 Speaker 1: a lot of the flows aren't going into passive investments, 461 00:24:57,720 --> 00:25:01,119 Speaker 1: and uh, there was a there's a debate other active 462 00:25:01,160 --> 00:25:04,359 Speaker 1: investment is dead or not. But there's still um a 463 00:25:04,400 --> 00:25:07,600 Speaker 1: lot of managers that that are making do out of it. 464 00:25:07,640 --> 00:25:11,800 Speaker 1: Obviously State three is a big index index shop, and uh, 465 00:25:12,080 --> 00:25:15,280 Speaker 1: we strive to achieve you know, our returns by doing 466 00:25:15,280 --> 00:25:18,399 Speaker 1: things better, faster and cheaper for for our clients. But 467 00:25:18,440 --> 00:25:21,960 Speaker 1: I do believe that there's still room for for for 468 00:25:22,000 --> 00:25:25,000 Speaker 1: both in the process. Do you feel like a therapist 469 00:25:25,040 --> 00:25:28,479 Speaker 1: in chief when people are saying do humans matter? Do 470 00:25:28,520 --> 00:25:34,600 Speaker 1: I matter? Humans do matter? Humans matter? But I think 471 00:25:34,920 --> 00:25:37,920 Speaker 1: the the the the skill sets that we're gonna be 472 00:25:38,000 --> 00:25:39,639 Speaker 1: looking for in the future are going to be a 473 00:25:39,640 --> 00:25:42,560 Speaker 1: lot different. But humans definitely do matter, and we we 474 00:25:42,640 --> 00:25:46,520 Speaker 1: treat them, you know, very very nicely. It's important. But 475 00:25:46,600 --> 00:25:48,640 Speaker 1: you know, you're in Boston, the head of the mutual 476 00:25:48,640 --> 00:25:52,040 Speaker 1: fun home of you know, the world, and so it's 477 00:25:52,080 --> 00:25:55,119 Speaker 1: been the biggest, one of the biggest employers. So humans 478 00:25:55,280 --> 00:25:58,880 Speaker 1: really matter big enough. I'm strong enough in gosh, started matter. 479 00:25:59,640 --> 00:26:01,880 Speaker 1: They do you with that Again, as I said earlier, 480 00:26:01,880 --> 00:26:04,840 Speaker 1: without without humans, you can't you can't power the machinery, 481 00:26:04,960 --> 00:26:07,560 Speaker 1: right exactly. Natie Shakar, thank you so much for joining us. 482 00:26:07,600 --> 00:26:10,840 Speaker 1: We appreciate it. Nadina's head of Global Markets at State Street. 483 00:26:10,880 --> 00:26:12,439 Speaker 1: Just talking a little bit about the kind of the 484 00:26:12,480 --> 00:26:16,200 Speaker 1: confluence of technology here in the financial services industry. It's 485 00:26:16,240 --> 00:26:19,320 Speaker 1: obviously a big theme here at the Federal Reserve Bank 486 00:26:19,359 --> 00:26:22,600 Speaker 1: of Boston here for this Boston uh Fintech Week ten 487 00:26:22,640 --> 00:26:24,879 Speaker 1: powered by the Fintech Sandbox. You know, a lot of 488 00:26:24,920 --> 00:26:28,960 Speaker 1: folks here thinking about the convergence of technology and finance, 489 00:26:29,000 --> 00:26:31,399 Speaker 1: both at the corporate level and at the personal level 490 00:26:31,480 --> 00:26:33,800 Speaker 1: as well. Thanks for listening to the Bloomberg P and 491 00:26:33,880 --> 00:26:36,439 Speaker 1: L podcast. You can subscribe and listen to interviews at 492 00:26:36,440 --> 00:26:40,119 Speaker 1: Apple Podcasts or whatever podcast platform you prefer. Paul Sweeney, 493 00:26:40,200 --> 00:26:42,919 Speaker 1: I'm on Twitter at pt Sweeney. I'm Lisa Abram Woyds. 494 00:26:42,960 --> 00:26:46,000 Speaker 1: I'm on Twitter at Lisa Abram Woyds. One before the podcast, 495 00:26:46,000 --> 00:26:48,600 Speaker 1: you can always catch us worldwide. I'm Bloomberg Radio