1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,040 Speaker 1: at Bloomberg dot com slash podcast. You know, one of 7 00:00:21,079 --> 00:00:23,000 Speaker 1: the stories that I've been hearing more and more about 8 00:00:23,040 --> 00:00:26,200 Speaker 1: over last year or so is you know, as China 9 00:00:26,280 --> 00:00:29,080 Speaker 1: turns more inward, if you will, and they continue to 10 00:00:29,120 --> 00:00:32,120 Speaker 1: deal with COVID zero, however they're going to proceed from here. 11 00:00:32,960 --> 00:00:35,919 Speaker 1: Maybe one of the best growth emerging markets out there 12 00:00:36,000 --> 00:00:38,440 Speaker 1: is India. Uh And that's kind of what I've been 13 00:00:38,440 --> 00:00:40,559 Speaker 1: hearing more and more. And it's a rural opportunity. It's 14 00:00:40,560 --> 00:00:42,280 Speaker 1: always been a growth story, but maybe even a little 15 00:00:42,280 --> 00:00:46,320 Speaker 1: bit better here. Josina Krishnan joins US. Managing partner at 16 00:00:46,560 --> 00:00:50,720 Speaker 1: l of Our Equity UM joins us from India. Joson, 17 00:00:50,800 --> 00:00:52,360 Speaker 1: I thanks so much for joining us here. I'd love 18 00:00:52,400 --> 00:00:54,680 Speaker 1: to get a sense of what you folks at l 19 00:00:54,720 --> 00:00:57,360 Speaker 1: of Our Equity are doing. How are your approaching India 20 00:00:57,440 --> 00:01:01,400 Speaker 1: these days? Thanks for having me on the show. And 21 00:01:01,840 --> 00:01:04,280 Speaker 1: it's music to my years and the recognition for India 22 00:01:04,319 --> 00:01:07,840 Speaker 1: as a market and it's really emerging these days. Uh 23 00:01:08,040 --> 00:01:11,320 Speaker 1: Elva has a unique personality type, if I may call it. 24 00:01:11,440 --> 00:01:14,640 Speaker 1: So we're a cross breed between venture capital and private equity. 25 00:01:15,400 --> 00:01:19,520 Speaker 1: We typically form a highly concentrated portfolio by a venture standards, 26 00:01:19,840 --> 00:01:22,720 Speaker 1: we have very low lost ratios and yet we go 27 00:01:22,760 --> 00:01:25,840 Speaker 1: on right at the beginning at early stages, very often 28 00:01:25,920 --> 00:01:28,280 Speaker 1: being the first and suitial capital. And part of the 29 00:01:28,280 --> 00:01:31,120 Speaker 1: reason is that we have a very strong thesis around 30 00:01:31,160 --> 00:01:33,679 Speaker 1: the end market as to what the customers are willing 31 00:01:33,720 --> 00:01:36,199 Speaker 1: to buy UM in the sense that the product market 32 00:01:36,200 --> 00:01:38,640 Speaker 1: fit is known to us before we make an investment, 33 00:01:38,680 --> 00:01:42,679 Speaker 1: even at that early stage. So callus p P callers. 34 00:01:42,720 --> 00:01:45,920 Speaker 1: We see which our way. So where do you see 35 00:01:45,959 --> 00:01:49,080 Speaker 1: the most opportunity for growth in India? I mean, is 36 00:01:49,120 --> 00:01:54,560 Speaker 1: it UM in manufacturing products for export or is there 37 00:01:54,600 --> 00:01:59,880 Speaker 1: a domestic opportunity there? What? What's front and center? So 38 00:02:00,120 --> 00:02:02,800 Speaker 1: our thesis is fairly unique in the sense we're not 39 00:02:02,880 --> 00:02:05,040 Speaker 1: sectoral and how we think about it, but we have 40 00:02:05,160 --> 00:02:08,120 Speaker 1: customer centric which means we underwrite the wallet of an 41 00:02:08,200 --> 00:02:11,640 Speaker 1: end massive market population which is maybe about half a 42 00:02:11,680 --> 00:02:15,239 Speaker 1: billion people um. These are people who are aspiring for 43 00:02:15,360 --> 00:02:18,640 Speaker 1: quality and growth and have not yet been addressed by 44 00:02:18,760 --> 00:02:23,200 Speaker 1: large scale corporate entities. What is fascinated about this customer 45 00:02:23,280 --> 00:02:27,160 Speaker 1: segment is that the non linear growth potential comes from 46 00:02:27,280 --> 00:02:31,440 Speaker 1: intergenerational growth ambitions in the sense previous generations in these 47 00:02:31,480 --> 00:02:35,280 Speaker 1: markets have probably figured out survival, but the current generation 48 00:02:35,400 --> 00:02:38,880 Speaker 1: is aspirational for a better quality life. They're focused on quality, 49 00:02:38,919 --> 00:02:42,040 Speaker 1: they want better lives for themselves and their children. And 50 00:02:42,080 --> 00:02:45,440 Speaker 1: it triggers a very interesting twin fly wheel effect in 51 00:02:45,480 --> 00:02:48,640 Speaker 1: the sense that businesses start growing because their customers start growing, 52 00:02:48,840 --> 00:02:51,959 Speaker 1: and that's fascinating to watch. So we we see very 53 00:02:52,000 --> 00:02:56,240 Speaker 1: clear and fascinating trends across sectors because of this customer dynamic. 54 00:02:56,919 --> 00:03:01,240 Speaker 1: So give us, Josina, maybe some in examples of some 55 00:03:01,760 --> 00:03:04,079 Speaker 1: types of deals that you've invested in. You know, it 56 00:03:04,120 --> 00:03:05,760 Speaker 1: give us a sense of kind of how you think 57 00:03:05,760 --> 00:03:09,239 Speaker 1: about your market. Yeah, so if you if you think 58 00:03:09,240 --> 00:03:11,960 Speaker 1: about the foundation that was laid by let's say micro 59 00:03:12,040 --> 00:03:15,040 Speaker 1: finance in these markets, you see this customer now getting 60 00:03:15,080 --> 00:03:18,080 Speaker 1: aspirational in terms of the quality of financial services product. 61 00:03:18,320 --> 00:03:21,840 Speaker 1: They're ready for more sophisticated products based on business loans, 62 00:03:22,360 --> 00:03:25,200 Speaker 1: based on underwriting, the robustness of cash flows so working 63 00:03:25,200 --> 00:03:29,800 Speaker 1: capital needs, asset backed lending. All of those are emerging 64 00:03:29,840 --> 00:03:32,960 Speaker 1: trends within financial services for a market that banks did 65 00:03:33,000 --> 00:03:35,960 Speaker 1: not address all these years. Uh. There are two three 66 00:03:35,960 --> 00:03:39,120 Speaker 1: other trends which I find fascinating. For example, the investment 67 00:03:39,160 --> 00:03:42,360 Speaker 1: mindset in this market. They're looking to upgrade the quality 68 00:03:42,400 --> 00:03:45,680 Speaker 1: of life and are often willing to pay interesting sums 69 00:03:45,680 --> 00:03:47,760 Speaker 1: of amount to see that shift. So they're willing to 70 00:03:47,800 --> 00:03:50,600 Speaker 1: invest in small businesses that are launched at their end, 71 00:03:50,680 --> 00:03:52,240 Speaker 1: so you can work with them on a lot of 72 00:03:52,280 --> 00:03:56,720 Speaker 1: these opportunities. And small business services, for example, those that 73 00:03:56,960 --> 00:04:00,800 Speaker 1: take shopify down another segment to and even smaller business 74 00:04:01,120 --> 00:04:04,840 Speaker 1: would be fascinating themes you're looking at um. Similarly, you 75 00:04:04,920 --> 00:04:09,840 Speaker 1: look at the affinity to course solutions as against just 76 00:04:10,000 --> 00:04:12,680 Speaker 1: products are transactions. And just to take an example there, 77 00:04:12,960 --> 00:04:16,440 Speaker 1: if you think about courting classes, that's still a single product. 78 00:04:16,560 --> 00:04:18,520 Speaker 1: But if you look at in the entire case world 79 00:04:18,520 --> 00:04:22,440 Speaker 1: of education that gives the child better chances of employability, 80 00:04:22,480 --> 00:04:26,680 Speaker 1: that's a core solution. Right. Think about farmer information services, 81 00:04:26,720 --> 00:04:30,120 Speaker 1: that's the transactional service where you think about market linkages 82 00:04:30,240 --> 00:04:33,880 Speaker 1: and working capital solutions bundled together. That's a core solution. 83 00:04:34,279 --> 00:04:38,440 Speaker 1: Tele consultation tele medicine is transactional, but a full stack 84 00:04:38,480 --> 00:04:41,719 Speaker 1: primary healthcare solution is a core solution. And the minute 85 00:04:41,720 --> 00:04:45,280 Speaker 1: you see this market gravitating towards core solutions, you know 86 00:04:45,360 --> 00:04:47,880 Speaker 1: that you have them. For the long run, your cost 87 00:04:47,920 --> 00:04:51,120 Speaker 1: of acquisition is lower, the customers tend to grow their 88 00:04:51,120 --> 00:04:54,240 Speaker 1: business with you, and you end up having a loyal, growing, 89 00:04:54,360 --> 00:04:57,960 Speaker 1: massive customer base. Can you tell us about just give 90 00:04:58,040 --> 00:05:01,800 Speaker 1: us a sense of kind of how Indian affair through 91 00:05:01,839 --> 00:05:04,719 Speaker 1: the pandemic, Where are you now? How did that maybe 92 00:05:04,800 --> 00:05:07,840 Speaker 1: impact your business and some of the clients you you 93 00:05:07,880 --> 00:05:12,679 Speaker 1: deal with. Yeah, that's a very interesting question, to be honest. 94 00:05:12,760 --> 00:05:15,600 Speaker 1: The first couple of months of the pandemic, we were like, 95 00:05:16,120 --> 00:05:18,000 Speaker 1: God knows how this segment is going to come out, 96 00:05:18,040 --> 00:05:20,640 Speaker 1: because the external perception at some level is that it's 97 00:05:20,640 --> 00:05:24,120 Speaker 1: a vulnerable segment. However, our thesis, of course, over the 98 00:05:24,160 --> 00:05:26,560 Speaker 1: last fifteen years of investing has been that there's a 99 00:05:26,560 --> 00:05:29,240 Speaker 1: lot of resilience, And in a way, I'm kind of 100 00:05:29,279 --> 00:05:31,880 Speaker 1: happy the last two or three years panned out because 101 00:05:32,040 --> 00:05:35,719 Speaker 1: everybody is now seen that this market is super resilient. 102 00:05:36,320 --> 00:05:39,800 Speaker 1: The companies that were lending did have to provide somewhat 103 00:05:39,920 --> 00:05:42,880 Speaker 1: or initially, but that happened across the board globally. But 104 00:05:43,120 --> 00:05:46,120 Speaker 1: what we saw interestingly was that the end market was 105 00:05:46,320 --> 00:05:49,719 Speaker 1: very nimble in terms of adjusting. In fact, small businesses 106 00:05:50,080 --> 00:05:54,359 Speaker 1: in India did not really necessarily get wait for any 107 00:05:54,600 --> 00:05:59,480 Speaker 1: major subsidies or or support. They tend to innovate and 108 00:05:59,480 --> 00:06:02,800 Speaker 1: and trans asition into business models very very quickly in 109 00:06:02,880 --> 00:06:05,440 Speaker 1: emerging markets. In fact, we saw this both across India 110 00:06:05,480 --> 00:06:08,400 Speaker 1: and Latin America, and they came out beautifully at the 111 00:06:08,480 --> 00:06:12,680 Speaker 1: end of it, so that nimbleness makes them very resilient. Likewise, 112 00:06:12,760 --> 00:06:17,120 Speaker 1: for education, we saw a massive shift towards digital solutions, 113 00:06:17,160 --> 00:06:20,680 Speaker 1: both in healthcare and education, and that adoption definitely did 114 00:06:20,720 --> 00:06:25,039 Speaker 1: speed up through the pandemic. But again, extremely smart purchasing 115 00:06:25,040 --> 00:06:27,720 Speaker 1: decisions made by this market in a way that they 116 00:06:27,800 --> 00:06:31,000 Speaker 1: managed cash flows well through the pandemic and switched back 117 00:06:31,040 --> 00:06:34,200 Speaker 1: into growth and investment more the minute they could come 118 00:06:34,279 --> 00:06:36,839 Speaker 1: out of it. In some sense, I see this market 119 00:06:36,960 --> 00:06:40,520 Speaker 1: is far more resilient than some of the larger or 120 00:06:40,640 --> 00:06:43,400 Speaker 1: or higher income customer segments that do business. I mean 121 00:06:43,560 --> 00:06:47,960 Speaker 1: it's just been phenomenal watching the resilience grow. The one 122 00:06:48,000 --> 00:06:50,800 Speaker 1: pieces that I think the world of capital probably took 123 00:06:50,839 --> 00:06:53,839 Speaker 1: a little longer to recognize this resilience, So some of 124 00:06:53,880 --> 00:06:57,719 Speaker 1: these businesses did take longer to raise funds. But it's 125 00:06:57,760 --> 00:07:00,440 Speaker 1: great to see that that the core dn of these 126 00:07:00,480 --> 00:07:04,120 Speaker 1: companies as such that they weren't really as subject to 127 00:07:04,120 --> 00:07:08,400 Speaker 1: the liquidity ebbs and flows. Uh. They were building core, core, 128 00:07:08,440 --> 00:07:12,360 Speaker 1: profitable businesses. Um. It's it's perfectly fine for some of 129 00:07:12,360 --> 00:07:15,160 Speaker 1: our companies to raise money a year later than what 130 00:07:15,320 --> 00:07:18,160 Speaker 1: was planned and they still managed to generate capitals through 131 00:07:18,160 --> 00:07:21,200 Speaker 1: customer revenues. And that's been great alright, great stuff. Really 132 00:07:21,200 --> 00:07:24,760 Speaker 1: appreciate getting your perspective. Their Drutson A. Krishnan, managing partner 133 00:07:24,920 --> 00:07:28,520 Speaker 1: l of our Equity. They are based in India, investing 134 00:07:28,560 --> 00:07:34,000 Speaker 1: in India. Our Jersey covers all the rate stuff for 135 00:07:34,160 --> 00:07:38,160 Speaker 1: Bloomberg Intelligence. He's in studio here, but as we all know, 136 00:07:38,240 --> 00:07:41,600 Speaker 1: he is a soccer guru here in the US and 137 00:07:41,680 --> 00:07:45,040 Speaker 1: Jonathan Tyson in studio he's usually based in London. He 138 00:07:45,040 --> 00:07:47,640 Speaker 1: covers all the European banks force, but he's here in studio. 139 00:07:47,680 --> 00:07:51,160 Speaker 1: And we were just lamenting the England side and lost 140 00:07:51,400 --> 00:07:53,840 Speaker 1: to France. But let's start it off. And by the way, 141 00:07:53,840 --> 00:07:57,280 Speaker 1: we should say we do have a deep dive into 142 00:07:57,880 --> 00:08:01,120 Speaker 1: soccer slash football later on in the program. Am we do? Yeah, 143 00:08:01,120 --> 00:08:04,720 Speaker 1: because we have Darren fantastic and nature of Van Tassel, 144 00:08:04,760 --> 00:08:07,160 Speaker 1: the owners of the South Georgia torment to FC, and 145 00:08:07,200 --> 00:08:11,000 Speaker 1: maybe maybe maybe I can come back for that. We'll see. 146 00:08:11,040 --> 00:08:12,720 Speaker 1: I mean he's in the office. I mean that's in 147 00:08:12,760 --> 00:08:15,160 Speaker 1: and of itself as a wonderful thing. Yeah, it's only 148 00:08:15,160 --> 00:08:16,520 Speaker 1: a second time I've ever seen him in real life, 149 00:08:16,560 --> 00:08:18,160 Speaker 1: and I've been working for twenty three years. I know 150 00:08:18,280 --> 00:08:19,920 Speaker 1: it's this whole thing. I don't get it, but that's 151 00:08:19,960 --> 00:08:22,280 Speaker 1: what the kids are doing these days. All right, your 152 00:08:22,320 --> 00:08:25,080 Speaker 1: Feller Reserve meeting Wednesday. What are we going to hear? 153 00:08:25,120 --> 00:08:27,200 Speaker 1: What are you looking for? Yeah? So, so it's gonna 154 00:08:27,200 --> 00:08:29,640 Speaker 1: be a fifty basis point hike. I think the reaction 155 00:08:29,760 --> 00:08:33,840 Speaker 1: function and what Powell says during the post meeting press 156 00:08:33,880 --> 00:08:37,280 Speaker 1: conference is going to be hyper important because will they 157 00:08:37,320 --> 00:08:41,560 Speaker 1: if they see reasonably high inflation print and inflation doesn't 158 00:08:41,559 --> 00:08:43,600 Speaker 1: come down as quickly as they want in January? Will 159 00:08:43,640 --> 00:08:45,760 Speaker 1: they then go fifty basis points again in February, and 160 00:08:45,760 --> 00:08:48,880 Speaker 1: I think that that's that's currently the question that is 161 00:08:49,520 --> 00:08:51,760 Speaker 1: in the minds of a lot of market participants. And 162 00:08:51,920 --> 00:08:55,679 Speaker 1: we're priced fifty fifty basically right now for that eventuality. 163 00:08:55,800 --> 00:08:57,760 Speaker 1: So um, we do get new dots, we do get 164 00:08:57,800 --> 00:09:00,000 Speaker 1: a new summary of economic projections. You know, where where 165 00:09:00,120 --> 00:09:03,240 Speaker 1: does where do FED members see inflation going next year? 166 00:09:03,320 --> 00:09:05,360 Speaker 1: That's going to be another big focus right at two 167 00:09:05,360 --> 00:09:07,720 Speaker 1: o'clock when we get the when we get so right 168 00:09:07,760 --> 00:09:10,360 Speaker 1: now we're at four percent is the upper bound? Right? 169 00:09:10,360 --> 00:09:13,600 Speaker 1: They're gonna bring it to four fifty on Wednesday, and 170 00:09:13,600 --> 00:09:18,240 Speaker 1: then the next meeting is February, February one, and it's likely, 171 00:09:18,960 --> 00:09:22,680 Speaker 1: I know that the pricing is split, but isn't the 172 00:09:22,679 --> 00:09:26,360 Speaker 1: the mood kind of an expectation of another fifty basis 173 00:09:26,360 --> 00:09:28,199 Speaker 1: point hike while they can get it in Yeah, I 174 00:09:28,520 --> 00:09:30,599 Speaker 1: think so. And we do think that they're going to 175 00:09:30,720 --> 00:09:32,800 Speaker 1: probably go to five and a quarter in the upper bound, 176 00:09:32,880 --> 00:09:35,720 Speaker 1: So you know, even though they're that's your terminal rate expectations. 177 00:09:35,800 --> 00:09:38,320 Speaker 1: So after February, the next meeting will be only twenty 178 00:09:38,400 --> 00:09:41,040 Speaker 1: five basis points in March and then and then they're 179 00:09:41,080 --> 00:09:44,960 Speaker 1: going to be completely in March see at some point, 180 00:09:45,200 --> 00:09:47,000 Speaker 1: at some point, they were going to always have to 181 00:09:47,040 --> 00:09:50,080 Speaker 1: downshift because they want to kind of tweak where that 182 00:09:50,240 --> 00:09:54,880 Speaker 1: terminal rate is and basically calibrate their their upper bound. Right, 183 00:09:54,880 --> 00:09:57,760 Speaker 1: So could they go to five and a quarter for example, Yes, 184 00:09:57,840 --> 00:09:59,520 Speaker 1: that's where we think they're going. Could they go to 185 00:09:59,520 --> 00:10:01,880 Speaker 1: five and al f in May if inflation still is 186 00:10:01,880 --> 00:10:04,679 Speaker 1: pretty high? Yes, but that gives them more optionality to 187 00:10:04,800 --> 00:10:07,160 Speaker 1: hike more if they're at twenty five bas point increments 188 00:10:07,200 --> 00:10:09,839 Speaker 1: instead of fifty. All right, Johnason Tyson, we've got you 189 00:10:09,920 --> 00:10:12,160 Speaker 1: in studio here, a rare event, almost as rare as 190 00:10:12,200 --> 00:10:16,080 Speaker 1: having Ivy here. Well, but in Jonathan's defense, that's because 191 00:10:16,120 --> 00:10:18,760 Speaker 1: he lives in England. Okay, alright, I got it. Yeah, 192 00:10:18,800 --> 00:10:21,240 Speaker 1: John Tyson is one of the top banks analysts in 193 00:10:21,280 --> 00:10:24,120 Speaker 1: the city of London, been doing it for decades. So 194 00:10:24,160 --> 00:10:26,360 Speaker 1: we got interest rates rising, Jonathan, what does that mean 195 00:10:26,480 --> 00:10:30,440 Speaker 1: for the European banks that you follow? H right, Um, well, 196 00:10:30,559 --> 00:10:33,760 Speaker 1: we've already seen an awful of the upgrades, no income upgrades, 197 00:10:33,840 --> 00:10:36,600 Speaker 1: margin upgrades. Take Lloyds, for example, it's going to make 198 00:10:36,640 --> 00:10:39,480 Speaker 1: an extra two billion top line next year purely because 199 00:10:39,520 --> 00:10:42,520 Speaker 1: the banks grades grades. But I think if you think 200 00:10:42,559 --> 00:10:45,599 Speaker 1: about Europe in the US, it's quite clear that it 201 00:10:45,640 --> 00:10:48,680 Speaker 1: has been aggressive. If you're the ECB, you don't have 202 00:10:48,720 --> 00:10:50,839 Speaker 1: a straightforward decision to make because you've still got to 203 00:10:50,880 --> 00:10:55,120 Speaker 1: think Italy. We all remember two thousand, twelve thirteen sovereign crisis, 204 00:10:55,160 --> 00:10:58,120 Speaker 1: all of that. So while a lot of commentators would 205 00:10:58,160 --> 00:11:00,960 Speaker 1: think in Europe behind the curve, you do have to 206 00:11:01,080 --> 00:11:04,080 Speaker 1: understand that we have a very big Italian bank system 207 00:11:04,080 --> 00:11:06,960 Speaker 1: that is still not that strong. Still well, I mean 208 00:11:07,000 --> 00:11:11,000 Speaker 1: Mounti Passes, they just had another capital raised after twenty 209 00:11:11,080 --> 00:11:13,959 Speaker 1: years of troubles. Um, And yes, the spreads have come 210 00:11:13,960 --> 00:11:15,880 Speaker 1: back between Italy and Germany. But the e CP is 211 00:11:15,960 --> 00:11:17,840 Speaker 1: very very aware that, yes, we could inflation, but we 212 00:11:17,880 --> 00:11:21,240 Speaker 1: do not want to kick start some form of a 213 00:11:21,559 --> 00:11:25,360 Speaker 1: sovereign fragmentation, which is what kicked off into Well. Well, 214 00:11:26,000 --> 00:11:28,680 Speaker 1: you know, if the healthy banks are making more and 215 00:11:28,720 --> 00:11:30,840 Speaker 1: more money with higher rates, are they going to be 216 00:11:30,920 --> 00:11:32,880 Speaker 1: able to do a little m and a and maybe 217 00:11:32,880 --> 00:11:35,920 Speaker 1: take out Amani Pasky. I mean they probably nobody wants 218 00:11:35,960 --> 00:11:38,840 Speaker 1: that bank. But um, are we going to see cross 219 00:11:38,880 --> 00:11:41,040 Speaker 1: finally see cross border m and a that the CEO 220 00:11:41,200 --> 00:11:43,120 Speaker 1: is back. You know, over the past few years, I 221 00:11:43,120 --> 00:11:44,800 Speaker 1: have said no, we can't do because of zero intrograte 222 00:11:44,840 --> 00:11:50,280 Speaker 1: policy and because um the um EU rules aren't yet finished. 223 00:11:50,400 --> 00:11:52,680 Speaker 1: In that regard that the rules are very big part 224 00:11:52,679 --> 00:11:54,640 Speaker 1: of it. Um. If you look at b MP, they're 225 00:11:54,640 --> 00:11:57,160 Speaker 1: selling the US business. They've got seven billions to reinvest 226 00:11:57,240 --> 00:11:59,400 Speaker 1: next year. But even they have said we're not going 227 00:11:59,440 --> 00:12:01,000 Speaker 1: to do a big we don't need to do a 228 00:12:01,000 --> 00:12:03,400 Speaker 1: big deal. So we're two or three years away from 229 00:12:03,440 --> 00:12:06,599 Speaker 1: a big cross border deal still because you've got liquidity concerns, 230 00:12:07,120 --> 00:12:11,559 Speaker 1: it's not straightforward, and captors capital is strong. But we're 231 00:12:11,600 --> 00:12:13,560 Speaker 1: now you're heading into a recession and we know that 232 00:12:13,600 --> 00:12:16,320 Speaker 1: bad debts are going back up. So again you normally 233 00:12:16,320 --> 00:12:18,280 Speaker 1: buy a smaller bank. How can you price a smaller 234 00:12:18,280 --> 00:12:20,280 Speaker 1: bank when you're not quite sure what the environment looks like? 235 00:12:20,400 --> 00:12:23,160 Speaker 1: How can What are the banks saying the European banks, Charnathan, 236 00:12:23,240 --> 00:12:25,840 Speaker 1: what are they saying about a recession in Europe? I mean, 237 00:12:25,880 --> 00:12:28,200 Speaker 1: plus you've got the added issue of the war in Ukraine. 238 00:12:28,440 --> 00:12:31,320 Speaker 1: So what are the big European banks saying about the 239 00:12:31,320 --> 00:12:34,920 Speaker 1: next twelve months? Actually very sanguine. I mean, we we 240 00:12:35,000 --> 00:12:38,120 Speaker 1: saw them all over provision for COVID, so most of 241 00:12:38,120 --> 00:12:39,840 Speaker 1: the banks have still got a pretty decent cushion that 242 00:12:39,880 --> 00:12:43,679 Speaker 1: they're running down a couple, haven't um And because of 243 00:12:43,720 --> 00:12:45,160 Speaker 1: all of this sort of it's four and a half 244 00:12:45,160 --> 00:12:49,480 Speaker 1: trillion access liquidity, you've got retail deposits, you've got corporate deposits. 245 00:12:49,520 --> 00:12:52,839 Speaker 1: The starting position for the man on the street is 246 00:12:52,840 --> 00:12:56,120 Speaker 1: a lot better than it was. So they're still pretty 247 00:12:56,120 --> 00:12:58,720 Speaker 1: sanguine and they've got a lot of room to play with. 248 00:12:59,760 --> 00:13:02,800 Speaker 1: I I think your Federal Reserve should pause. I think 249 00:13:02,800 --> 00:13:06,080 Speaker 1: they've been raising rates like crazy. Okay, Jonathan's European banks 250 00:13:06,120 --> 00:13:09,160 Speaker 1: of benefiting, the US banks are benefiting. But you know 251 00:13:09,240 --> 00:13:12,360 Speaker 1: we're going to get a CPI print tomorrow that's showing that, Yeah, 252 00:13:12,480 --> 00:13:15,920 Speaker 1: not only is inflation peak, but it's coming down consistently. 253 00:13:16,880 --> 00:13:21,040 Speaker 1: Why don't they pause? I might not considerably. I'm consistently 254 00:13:21,120 --> 00:13:23,319 Speaker 1: right that the problem is we're just not seeing inflation 255 00:13:23,679 --> 00:13:26,240 Speaker 1: reduced at the speed we thought it would be. Yeah, 256 00:13:26,240 --> 00:13:28,000 Speaker 1: so let's say it comes to where the markets pricing 257 00:13:28,000 --> 00:13:30,400 Speaker 1: it around seven point two percent. I think the consensus 258 00:13:30,440 --> 00:13:33,080 Speaker 1: on the Bloomberg terminals telling me seven point three percent 259 00:13:33,160 --> 00:13:37,120 Speaker 1: year on year CPI UM, So it's that's still relatively high, 260 00:13:37,200 --> 00:13:39,400 Speaker 1: but but your point, Paul, you know, the month on 261 00:13:39,440 --> 00:13:41,679 Speaker 1: month prints are much much lower than they were, right. 262 00:13:41,720 --> 00:13:43,439 Speaker 1: So a lot of this is base effects and the 263 00:13:43,480 --> 00:13:45,360 Speaker 1: fact that we had very high inflation early in the 264 00:13:45,440 --> 00:13:48,959 Speaker 1: year UM, because at this point the FED promised that 265 00:13:49,000 --> 00:13:53,439 Speaker 1: they were going higher right going to five. Powell even said, 266 00:13:53,679 --> 00:13:55,360 Speaker 1: you know, even when he was dovish a couple of 267 00:13:55,360 --> 00:13:58,560 Speaker 1: weeks ago at the Brookins Institution, he said, you know, 268 00:13:58,640 --> 00:14:01,400 Speaker 1: we're going to be higher than last UM summary of 269 00:14:01,440 --> 00:14:05,400 Speaker 1: economic projections was so, which was four and you know 270 00:14:05,400 --> 00:14:08,120 Speaker 1: four sixty five. Basically, so if they're gonna be higher 271 00:14:08,120 --> 00:14:10,640 Speaker 1: than that, they want to deliver on that promise. And 272 00:14:10,640 --> 00:14:13,400 Speaker 1: and you know that the FED doesn't want to under deliver, 273 00:14:13,559 --> 00:14:15,880 Speaker 1: particularly when inflation is such a problem in such a 274 00:14:15,960 --> 00:14:19,120 Speaker 1: high priority globally. And if US inflation comes down, that 275 00:14:19,160 --> 00:14:22,240 Speaker 1: probably will feed into other markets, that will feed into Europe, 276 00:14:22,280 --> 00:14:25,040 Speaker 1: that will feed into the UK, that will feed into Japan. UM. 277 00:14:25,160 --> 00:14:27,120 Speaker 1: So you know, we do want to get UM kind 278 00:14:27,120 --> 00:14:31,640 Speaker 1: of demand and UM supply balance back into back into 279 00:14:31,680 --> 00:14:34,160 Speaker 1: some semblance of normalcy. And the only way to do 280 00:14:34,200 --> 00:14:36,760 Speaker 1: that really is too slow US demand. That the problem 281 00:14:36,760 --> 00:14:39,680 Speaker 1: I think with US inflation in particular is that it's 282 00:14:39,680 --> 00:14:41,760 Speaker 1: a lot of it's in the service sector, which isn't 283 00:14:41,800 --> 00:14:45,360 Speaker 1: directly impacted as much by UM by interest rates because 284 00:14:45,400 --> 00:14:47,360 Speaker 1: you don't you know, you don't buy you don't go 285 00:14:47,400 --> 00:14:50,960 Speaker 1: into McDonald's and buy a big mac on credit usually. Well, 286 00:14:50,960 --> 00:14:53,920 Speaker 1: and even if it is UM, isn't the lag like 287 00:14:54,040 --> 00:14:58,280 Speaker 1: three to five quarters that policy lag. I mean, it 288 00:14:58,360 --> 00:14:59,960 Speaker 1: was funny to hear you say they want to cow 289 00:15:00,000 --> 00:15:04,560 Speaker 1: celebrate something. I mean they're working with a sledge hammer. Um. 290 00:15:04,600 --> 00:15:09,920 Speaker 1: So this is not the kind of delicate scalpel work 291 00:15:10,080 --> 00:15:14,560 Speaker 1: that um you would hope that monetary policy is. Yeah. 292 00:15:14,560 --> 00:15:17,640 Speaker 1: So so generally speaking, monetary policy takes between six and 293 00:15:17,640 --> 00:15:20,240 Speaker 1: eighteen months to flow through, so we're only starting to 294 00:15:20,280 --> 00:15:23,840 Speaker 1: see the effects right now. Alright, great stuff, Iver Jersey, 295 00:15:24,000 --> 00:15:27,160 Speaker 1: Bloomberg Intelligence rate analysts here in our Bloomberg and Actors 296 00:15:27,160 --> 00:15:30,280 Speaker 1: broker studio and a rare treat. Jonathan Tyson, he covers 297 00:15:30,320 --> 00:15:33,400 Speaker 1: European banks for Bloomberg Intelligence. He's based in London, So 298 00:15:33,440 --> 00:15:35,240 Speaker 1: if you're ever in London, go to look up Jonathan Tyson. 299 00:15:35,320 --> 00:15:41,600 Speaker 1: Bia pint. Megan Horneman, chief investment officer at Verden's Capital, 300 00:15:42,000 --> 00:15:44,880 Speaker 1: joins us here. Megan, I'm gonna just you know, I've 301 00:15:44,880 --> 00:15:48,720 Speaker 1: been telling Matt two, I'm done with It's it's so over. 302 00:15:48,920 --> 00:15:52,360 Speaker 1: I'm looking at three. What's your outlook? What are you 303 00:15:52,360 --> 00:15:54,400 Speaker 1: telling your clients? What are you penning in your year 304 00:15:54,480 --> 00:15:57,160 Speaker 1: head kind of letter. But I think that we've seen 305 00:15:57,200 --> 00:16:00,520 Speaker 1: a lot of the equity damage and and even the 306 00:16:00,520 --> 00:16:04,960 Speaker 1: fixed income damage, but we're just starting to see the 307 00:16:05,000 --> 00:16:09,320 Speaker 1: economic damage from whether it's the um you know, slow 308 00:16:09,360 --> 00:16:12,200 Speaker 1: down in the economic growth or the tightening of the 309 00:16:12,200 --> 00:16:15,440 Speaker 1: said policy. We're just starting to see that. So unfortunately, 310 00:16:15,480 --> 00:16:18,720 Speaker 1: going into next year, uh, there's gonna be a lot 311 00:16:18,760 --> 00:16:21,560 Speaker 1: of the same. When it comes to the economic situation. 312 00:16:21,680 --> 00:16:24,000 Speaker 1: The economy is going to be weaker, Um, it's going 313 00:16:24,080 --> 00:16:26,640 Speaker 1: to be quite volatile. We think the consumer is going 314 00:16:26,680 --> 00:16:29,280 Speaker 1: to be um, the one thing that's going to give in. 315 00:16:30,920 --> 00:16:33,800 Speaker 1: They've been very resilient this year as far as spending, 316 00:16:33,840 --> 00:16:37,040 Speaker 1: and we'll get retail sales tomorrow as well. But I 317 00:16:37,120 --> 00:16:39,480 Speaker 1: don't think it's sustainable when you look at the level 318 00:16:39,600 --> 00:16:41,880 Speaker 1: of spending and then you look at how they're spending 319 00:16:41,920 --> 00:16:45,040 Speaker 1: and that is basically turning to credit cards, which are 320 00:16:45,080 --> 00:16:49,080 Speaker 1: growing at a double digit pace over an annual basis. Um, 321 00:16:49,160 --> 00:16:52,960 Speaker 1: are you worried about the or are you watching the 322 00:16:52,960 --> 00:16:56,320 Speaker 1: credit card legislation. I can't remember the name of the bill, um, 323 00:16:56,320 --> 00:17:00,400 Speaker 1: but it's like the credit card competition bill or something 324 00:17:00,400 --> 00:17:03,000 Speaker 1: that's apparently going to open up another pay rail and 325 00:17:03,000 --> 00:17:06,679 Speaker 1: give retailers more of a choice. Um. No, I'm not 326 00:17:06,720 --> 00:17:09,200 Speaker 1: following that so much as far as the what people 327 00:17:09,240 --> 00:17:11,760 Speaker 1: are doing and taking out debt in any respect in 328 00:17:11,800 --> 00:17:15,280 Speaker 1: the slowing economic economy is not something that consumers want 329 00:17:15,280 --> 00:17:19,040 Speaker 1: to do. While balance shees are relatively healthy, we're still 330 00:17:19,080 --> 00:17:23,040 Speaker 1: seeing savings and savings rates pretty much dwindled down. So um, 331 00:17:23,080 --> 00:17:26,760 Speaker 1: I think turning to credit is not the right thing 332 00:17:26,840 --> 00:17:29,920 Speaker 1: at Okay, I sorry, sorry, I misunderstood. I thought you 333 00:17:29,920 --> 00:17:31,760 Speaker 1: were saying that you like the credit card companies here. 334 00:17:31,960 --> 00:17:34,119 Speaker 1: Oh no, no, no, for sure, if if, if the 335 00:17:34,119 --> 00:17:37,240 Speaker 1: consumer is taking is putting more and more money, more 336 00:17:37,240 --> 00:17:40,920 Speaker 1: and more purchases on plastic, that's a problem, um. And 337 00:17:41,520 --> 00:17:43,440 Speaker 1: that's the kind of the kind of sign that we've 338 00:17:43,480 --> 00:17:46,439 Speaker 1: been looking for. What's your expectation for a recession in 339 00:17:46,480 --> 00:17:48,760 Speaker 1: twenty three or some people have been saying maybe won't 340 00:17:48,800 --> 00:17:52,680 Speaker 1: come till early now. I think I think it's highly likely. 341 00:17:52,840 --> 00:17:56,200 Speaker 1: In ine, and I actually would lean more towards this 342 00:17:56,320 --> 00:18:00,159 Speaker 1: the first half of three because we've had such a 343 00:18:00,800 --> 00:18:03,840 Speaker 1: like I said, a resilient year from the consumer spending 344 00:18:03,920 --> 00:18:08,879 Speaker 1: standpoint in I think after the holidays, after this spending 345 00:18:08,880 --> 00:18:10,960 Speaker 1: has been done for this year, that people will sit 346 00:18:11,000 --> 00:18:14,119 Speaker 1: back reassess. UM they're going to see the credit cards, 347 00:18:14,160 --> 00:18:17,520 Speaker 1: not only their credit card bills, the actual number on 348 00:18:17,520 --> 00:18:20,120 Speaker 1: the credit card build. But don't forget that credit card 349 00:18:20,200 --> 00:18:22,840 Speaker 1: rates are rising just along with the rest of interest rates. 350 00:18:22,920 --> 00:18:25,560 Speaker 1: So credit card interest rates right now are very high, 351 00:18:25,600 --> 00:18:27,400 Speaker 1: and I think this is just going to be challenging 352 00:18:27,440 --> 00:18:30,840 Speaker 1: for consumers. So I think from a UM spending standpoint, 353 00:18:30,960 --> 00:18:33,280 Speaker 1: that's going to pull back. You have that at the 354 00:18:33,320 --> 00:18:37,840 Speaker 1: same time where you have manufacturing that's now in contraction territory, UM, 355 00:18:37,920 --> 00:18:41,440 Speaker 1: you have housing that continues to be challenged by higher 356 00:18:41,480 --> 00:18:45,240 Speaker 1: interest rates and high costs. These three things could be 357 00:18:45,520 --> 00:18:48,520 Speaker 1: UM could weigh on the economic scenario in the first 358 00:18:48,560 --> 00:18:52,600 Speaker 1: half of next year. So Megan, you know, we we 359 00:18:52,880 --> 00:18:54,600 Speaker 1: It seems like a lot of economists say we might 360 00:18:54,640 --> 00:18:56,480 Speaker 1: have a you know, a tough or first half of 361 00:18:56,520 --> 00:18:59,480 Speaker 1: but then maybe better second half. As you think about 362 00:18:59,520 --> 00:19:02,600 Speaker 1: kind of where you want to position your portfolio, are 363 00:19:02,640 --> 00:19:05,639 Speaker 1: you guys kind of constructive on the markets here or 364 00:19:06,040 --> 00:19:08,000 Speaker 1: are you kind of wait and see a little bit 365 00:19:08,000 --> 00:19:11,880 Speaker 1: as we get into next year. So we're long term investors, 366 00:19:11,880 --> 00:19:14,879 Speaker 1: so we're always constructive on the market. But you know, 367 00:19:15,000 --> 00:19:17,080 Speaker 1: right now, for for the near term, what we're trying 368 00:19:17,080 --> 00:19:19,120 Speaker 1: to do is raise a little bit of cash going 369 00:19:19,119 --> 00:19:20,879 Speaker 1: into the year at the end of the year, especially 370 00:19:20,920 --> 00:19:24,119 Speaker 1: since we've had such a tremendous rebound um since that 371 00:19:24,200 --> 00:19:27,520 Speaker 1: October twelfth low, so and take last week out of 372 00:19:27,560 --> 00:19:30,440 Speaker 1: the equation, we still have had a pretty decent upside there. 373 00:19:30,480 --> 00:19:32,719 Speaker 1: So there's some areas that we may want to just 374 00:19:32,840 --> 00:19:36,000 Speaker 1: overall reduce some risk, increase that dry powder, get a 375 00:19:36,040 --> 00:19:38,639 Speaker 1: little bit more cash because I do believe that in 376 00:19:38,680 --> 00:19:40,399 Speaker 1: the first half of next year there's going to be 377 00:19:40,400 --> 00:19:43,480 Speaker 1: a lot more opportunities to put more money into the 378 00:19:43,520 --> 00:19:47,720 Speaker 1: equity markets for the long run. Tax loss harvesting is 379 00:19:47,760 --> 00:19:49,320 Speaker 1: a phrase we've been hearing a lot. Is that what 380 00:19:49,359 --> 00:19:52,399 Speaker 1: you're talking about? Yeah, So it's not just only tax 381 00:19:52,440 --> 00:19:55,840 Speaker 1: loss harvesting, because remember, tax loss harvesting is um you know, 382 00:19:55,920 --> 00:19:59,359 Speaker 1: you're you're taking the tax off and maybe implementing something 383 00:19:59,640 --> 00:20:02,080 Speaker 1: as ah like an e t F or something that 384 00:20:02,280 --> 00:20:05,639 Speaker 1: so you're staying participated. But this is an overall tactical 385 00:20:05,680 --> 00:20:07,960 Speaker 1: move in the market where you want to reduce your 386 00:20:08,000 --> 00:20:11,320 Speaker 1: overall risk in the portfolio. So take losses where you can, 387 00:20:11,800 --> 00:20:15,439 Speaker 1: but also then look at maybe just reducing some of 388 00:20:15,560 --> 00:20:18,040 Speaker 1: those areas of the market that have rallied so much 389 00:20:18,480 --> 00:20:21,720 Speaker 1: here in the past six weeks. Megan, you know, as 390 00:20:21,760 --> 00:20:25,040 Speaker 1: a long term investor, where does technology fit into your 391 00:20:25,040 --> 00:20:27,480 Speaker 1: perfect just going to ask about the Fang stocks see 392 00:20:27,560 --> 00:20:30,399 Speaker 1: a great minds think alike off front running a little bit. 393 00:20:30,440 --> 00:20:32,399 Speaker 1: But again, the fang stocks have been so good to 394 00:20:32,440 --> 00:20:35,000 Speaker 1: Matt and me and everybody else over the last dozen 395 00:20:35,080 --> 00:20:37,760 Speaker 1: years or so, So we think about those types of names. 396 00:20:38,400 --> 00:20:40,639 Speaker 1: Will they continue to be leaders in this market or 397 00:20:40,720 --> 00:20:42,800 Speaker 1: is there time as a as a market leader passed? 398 00:20:43,960 --> 00:20:48,399 Speaker 1: So there was like a three part questionnaire. The first 399 00:20:48,400 --> 00:20:50,879 Speaker 1: one is, um, what do we think of technology in 400 00:20:50,920 --> 00:20:52,959 Speaker 1: the long run? And then and then you had mentioned 401 00:20:53,080 --> 00:20:56,439 Speaker 1: bangs and then um have they lost their leadership? And 402 00:20:56,680 --> 00:21:00,000 Speaker 1: technology over the long run is a great investment? Um, 403 00:21:00,240 --> 00:21:04,239 Speaker 1: good quality technology? The fangs. Um. The reason why they 404 00:21:04,320 --> 00:21:07,080 Speaker 1: got that that you know, the Fang name to them 405 00:21:07,200 --> 00:21:10,800 Speaker 1: is because um, they had their valuations had run up 406 00:21:10,800 --> 00:21:14,520 Speaker 1: so far, so fast. Nobody had anticipated that any other 407 00:21:14,560 --> 00:21:17,879 Speaker 1: company in the s and P five hundred, including technology, 408 00:21:18,080 --> 00:21:21,520 Speaker 1: could actually produce the same types of earnings growth that 409 00:21:21,600 --> 00:21:25,520 Speaker 1: those companies could. I think that those days are over. UM. 410 00:21:26,080 --> 00:21:29,960 Speaker 1: People are not going to pay outside valuations for companies 411 00:21:30,000 --> 00:21:32,800 Speaker 1: just in the hopes for that future growth, and the 412 00:21:32,840 --> 00:21:35,640 Speaker 1: main reason behind that is that the interest rate environment 413 00:21:35,720 --> 00:21:39,360 Speaker 1: is completely changing going forward. UM. I think that there 414 00:21:39,480 --> 00:21:44,400 Speaker 1: is room for good quality UM technology, even good quality growth, 415 00:21:44,480 --> 00:21:46,320 Speaker 1: but I think that that's going to be a second 416 00:21:46,359 --> 00:21:49,199 Speaker 1: half of the year next door UM second half of 417 00:21:49,240 --> 00:21:52,160 Speaker 1: the year story UM for next year, because I think 418 00:21:52,160 --> 00:21:55,399 Speaker 1: there's still is room from the valuation correction that we 419 00:21:55,480 --> 00:21:58,359 Speaker 1: need to see. You're still looking at earnings that probably 420 00:21:58,359 --> 00:22:02,000 Speaker 1: are slightly unrealistic at this point for some of these names, 421 00:22:02,200 --> 00:22:04,600 Speaker 1: so we want to see that come down. Then you'll 422 00:22:04,640 --> 00:22:07,399 Speaker 1: get a bit more of a better entry point into 423 00:22:07,440 --> 00:22:09,760 Speaker 1: these areas. What are you looking for in terms of 424 00:22:09,800 --> 00:22:14,800 Speaker 1: earnings across the SMP, I mean broader earnings and valuations 425 00:22:14,840 --> 00:22:19,680 Speaker 1: next year. So next year, the multiple is the big unknown. UM. 426 00:22:19,720 --> 00:22:21,879 Speaker 1: I do think that you're going to see some further 427 00:22:22,040 --> 00:22:26,400 Speaker 1: pe multiple contract compression in the SMP five but it's 428 00:22:26,560 --> 00:22:30,920 Speaker 1: primarily going to be led by technology. UM. Those fang names, 429 00:22:30,920 --> 00:22:33,080 Speaker 1: as we've mentioned, those are the ones where we're going 430 00:22:33,119 --> 00:22:35,640 Speaker 1: to see pe contraction and they make up the majority 431 00:22:35,840 --> 00:22:39,320 Speaker 1: SMP five hundreds. UM. I think earnings growth has um 432 00:22:39,840 --> 00:22:42,120 Speaker 1: it does need to be revised lower. I still think 433 00:22:42,160 --> 00:22:45,320 Speaker 1: we can get somewhere around, you know, in the mid 434 00:22:45,400 --> 00:22:48,760 Speaker 1: single digits of an earnings growth situation, but we do 435 00:22:48,880 --> 00:22:51,800 Speaker 1: need to see earnings come down. And remember this market 436 00:22:51,880 --> 00:22:56,280 Speaker 1: is almost very segmented right now. You have pockets of 437 00:22:56,320 --> 00:22:59,560 Speaker 1: the market that have really good earnings potential next year, 438 00:22:59,760 --> 00:23:01,720 Speaker 1: but and you have some areas of the market that 439 00:23:01,800 --> 00:23:04,480 Speaker 1: I think you're gonna going to struggle next year as well. 440 00:23:04,600 --> 00:23:09,080 Speaker 1: So you have to be very selective active management from 441 00:23:09,080 --> 00:23:12,760 Speaker 1: not only your asset allocation exposure, but also I'm even 442 00:23:12,760 --> 00:23:17,679 Speaker 1: looking from the your investment proposed, your investment exposure as 443 00:23:17,720 --> 00:23:20,840 Speaker 1: far as managers, make sure that you selectivity is very 444 00:23:20,840 --> 00:23:22,960 Speaker 1: important going into next year. All right, Megan, thank you 445 00:23:23,040 --> 00:23:24,800 Speaker 1: so much for joining us. Good stuff there. We really 446 00:23:24,840 --> 00:23:28,679 Speaker 1: appreciate Megan Horneman. She's a chief investment officer at Verden's 447 00:23:28,720 --> 00:23:33,840 Speaker 1: Capital Management. Giving us your thoughts on these markets. I 448 00:23:33,880 --> 00:23:36,639 Speaker 1: want to talk technology I want to talk technology. M 449 00:23:36,720 --> 00:23:39,080 Speaker 1: n A Toma. Bravo's got a deal out there, buying 450 00:23:39,080 --> 00:23:42,280 Speaker 1: some software company, and we'll get to that. But Microsoft 451 00:23:42,280 --> 00:23:44,520 Speaker 1: buying four percent of the London Stock Exchange. I don't 452 00:23:44,520 --> 00:23:46,879 Speaker 1: know what's going on with that one. So fortunately we 453 00:23:46,960 --> 00:23:50,080 Speaker 1: got a software expert with us, Steve Kannying. He's managing 454 00:23:50,119 --> 00:23:54,600 Speaker 1: director at SMBC Nico Securities America. Uh. He joins us 455 00:23:54,600 --> 00:23:56,720 Speaker 1: over the phone. A Steve, can you tell me what 456 00:23:56,760 --> 00:23:59,760 Speaker 1: Microsoft is doing buying you know, a small piece of 457 00:23:59,760 --> 00:24:03,880 Speaker 1: the the stock exchange. I don't get it. Yeah, yeah, thanks, 458 00:24:04,000 --> 00:24:05,800 Speaker 1: thanks to him. Great to be on with you, Thanks 459 00:24:05,800 --> 00:24:09,359 Speaker 1: for having me. Uh yeah, you know it is um, 460 00:24:09,640 --> 00:24:11,960 Speaker 1: it's it's just, you know, it's an indicator. It's a 461 00:24:12,000 --> 00:24:14,679 Speaker 1: symptom of the fact that there is a lot of 462 00:24:14,760 --> 00:24:19,160 Speaker 1: runway left for businesses in many industries, in this case 463 00:24:19,200 --> 00:24:23,560 Speaker 1: financial services, to transform the way they the way they 464 00:24:23,600 --> 00:24:25,800 Speaker 1: make decisions, the way they use data, and the way 465 00:24:25,840 --> 00:24:29,520 Speaker 1: they operate in the cloud. And Microsoft being the number 466 00:24:29,560 --> 00:24:32,560 Speaker 1: two cloud player with a zur Is is a real 467 00:24:32,680 --> 00:24:36,119 Speaker 1: driver and and benefits from that migration to the cloud. 468 00:24:36,560 --> 00:24:38,520 Speaker 1: And um, you know, there are a lot of there 469 00:24:38,520 --> 00:24:40,280 Speaker 1: are a lot of ways to do it. In this case, 470 00:24:40,359 --> 00:24:42,679 Speaker 1: this is this is really a vertical specific it's an 471 00:24:42,720 --> 00:24:48,680 Speaker 1: industry specific initiative UM that Microsoft is undertaking UH which 472 00:24:48,760 --> 00:24:51,880 Speaker 1: which which basically it's going to allow them to exploit 473 00:24:52,359 --> 00:24:57,800 Speaker 1: the opportunity to provide financial data to you know, many 474 00:24:58,040 --> 00:25:02,360 Speaker 1: of Thompson Ruyter's customer and UH and in doing so, 475 00:25:02,640 --> 00:25:05,679 Speaker 1: they in signing to steal. They can help to transform 476 00:25:06,119 --> 00:25:09,320 Speaker 1: Thompson Reuter's on offerings, to better integrate them with Excel, 477 00:25:09,400 --> 00:25:12,440 Speaker 1: to better integrate with them, team with teams, Microsoft teams, 478 00:25:12,440 --> 00:25:15,520 Speaker 1: it's collaboration software, and to really make the Thompson Reuters 479 00:25:15,520 --> 00:25:18,920 Speaker 1: products work better. You know, honestly, I've used Thompson Reuters 480 00:25:18,920 --> 00:25:21,160 Speaker 1: and I've used Bloomberg, and some of the Thompson's Reuter 481 00:25:21,280 --> 00:25:24,400 Speaker 1: software could use a company like Microsoft to help them out, 482 00:25:24,480 --> 00:25:28,080 Speaker 1: you know, speaking very frankly. Okay, got it all right, Matt. 483 00:25:28,119 --> 00:25:32,720 Speaker 1: We got another extremely over educated guest here. Our friend here, 484 00:25:32,720 --> 00:25:36,040 Speaker 1: Steve has got his BS with distinction and mathematics from Stanford, 485 00:25:36,200 --> 00:25:40,359 Speaker 1: boring Masters and engineering from Stanford, and then an NBA 486 00:25:40,400 --> 00:25:42,399 Speaker 1: from Harvard. I'm not sure I'm talking to this guy 487 00:25:42,400 --> 00:25:44,000 Speaker 1: at a cocktail party, but I think he knows what 488 00:25:44,080 --> 00:25:47,359 Speaker 1: he's talking about when it comes to software. Paul is 489 00:25:47,640 --> 00:25:51,800 Speaker 1: a little bit intimidated Steve when it comes to mass statistics, 490 00:25:51,840 --> 00:25:55,480 Speaker 1: and he said that he's not a STEM guy's um hey, 491 00:25:55,520 --> 00:25:57,440 Speaker 1: my job is to make it simple. So happy to 492 00:25:57,560 --> 00:26:00,000 Speaker 1: happy to do that because so well, And that's that's 493 00:25:59,840 --> 00:26:03,240 Speaker 1: an interesting explanation of the Microsoft deal. And I get that. 494 00:26:03,480 --> 00:26:06,760 Speaker 1: And if you look at it a little more deeply, UM, 495 00:26:06,800 --> 00:26:11,280 Speaker 1: there I can't tell if they're paying uh the Elmy 496 00:26:11,480 --> 00:26:14,879 Speaker 1: or the Emmy's paying them, Like where's the balance? Because um, 497 00:26:14,880 --> 00:26:18,160 Speaker 1: they're getting a lot of business in return, right, yeah, Yeah. 498 00:26:18,200 --> 00:26:20,000 Speaker 1: My read of the terms and the deal is that 499 00:26:20,040 --> 00:26:24,800 Speaker 1: they're they're buying a billion dollar equity stake and UM 500 00:26:24,840 --> 00:26:27,919 Speaker 1: and there will be proceeds out of that UM that 501 00:26:28,160 --> 00:26:32,439 Speaker 1: Thompson Reuters and and LC will use to expand the business, 502 00:26:32,560 --> 00:26:36,120 Speaker 1: you know, the data analysis business and Thompson's Reuter's tools. UM. 503 00:26:36,200 --> 00:26:41,760 Speaker 1: In return, Microsoft gets a UM minimum commitment. It's a 504 00:26:41,800 --> 00:26:43,639 Speaker 1: ten year deal, so they get a minimum commitment of 505 00:26:43,640 --> 00:26:47,320 Speaker 1: two point eight billion and guaranteed revenue from l C 506 00:26:47,359 --> 00:26:51,120 Speaker 1: a UM for using a Zoor Microsoft thought service. Now, 507 00:26:51,240 --> 00:26:53,680 Speaker 1: now a lot of that revenue was going to happen anyway, 508 00:26:53,680 --> 00:26:56,280 Speaker 1: if not all of it, it's just a guarantee. But 509 00:26:56,480 --> 00:27:01,040 Speaker 1: in addition, Microsoft expects to generate another you know, I 510 00:27:01,320 --> 00:27:04,560 Speaker 1: would calculate two point two billion, because they calculate five 511 00:27:04,600 --> 00:27:07,440 Speaker 1: billion in total that they're going to get in revenue 512 00:27:07,600 --> 00:27:10,600 Speaker 1: from this deal over ten years. And in that additional 513 00:27:10,640 --> 00:27:12,520 Speaker 1: revenue they're going to get, I think a lot of 514 00:27:12,560 --> 00:27:15,600 Speaker 1: that is probably going to come from Thompson's Reuters customers. 515 00:27:15,680 --> 00:27:18,600 Speaker 1: Is what Microsoft is hoping that they'll help build better 516 00:27:18,640 --> 00:27:21,159 Speaker 1: tools for Thompson Reuters and that those tools can be 517 00:27:21,200 --> 00:27:24,320 Speaker 1: sold to the you know, ten thousand customers that Thompson 518 00:27:24,359 --> 00:27:27,040 Speaker 1: Reuters have. If they call that business for affinity, does 519 00:27:27,080 --> 00:27:29,800 Speaker 1: that data analysis and tools business? All right? And we 520 00:27:29,840 --> 00:27:35,680 Speaker 1: should note that Bloomberg LP competes with Thompson Reuters. Yeah, 521 00:27:36,119 --> 00:27:39,920 Speaker 1: let's let's not worried. We invented the internet, invented it? Hey, 522 00:27:39,920 --> 00:27:45,640 Speaker 1: all right? So right, yeah, exactly. So, Steve, we've got 523 00:27:45,680 --> 00:27:48,440 Speaker 1: another M and a trade in your space here stock 524 00:27:48,480 --> 00:27:51,920 Speaker 1: that you cover, Kopa going to be acquired by Toma Bravo. 525 00:27:52,280 --> 00:27:56,240 Speaker 1: Is that Toma Bravo? Okay? What since when is private 526 00:27:56,240 --> 00:28:00,800 Speaker 1: equity buy software companies? What's going on there. Yeah, well, um, 527 00:28:00,840 --> 00:28:03,440 Speaker 1: private equity buys a lot of software companies. Uh, that's 528 00:28:03,520 --> 00:28:05,320 Speaker 1: that's a trend that's been going on for a very 529 00:28:05,320 --> 00:28:09,600 Speaker 1: long time. And um, you know the the I think 530 00:28:09,800 --> 00:28:12,159 Speaker 1: in really in the last twelve months there there have 531 00:28:12,240 --> 00:28:16,600 Speaker 1: been at least ten pretty large transactions of PE firms 532 00:28:16,640 --> 00:28:20,600 Speaker 1: buying software. Um. The reason PE firms like software is 533 00:28:20,640 --> 00:28:24,840 Speaker 1: that the revenues don't trip very easily. They don't go away. 534 00:28:24,880 --> 00:28:28,680 Speaker 1: You know, once the company buys either package software, infrastructure 535 00:28:28,680 --> 00:28:31,359 Speaker 1: software and integrates it into their business, you know, they 536 00:28:31,680 --> 00:28:34,480 Speaker 1: become pretty dependent on that software. And maybe over time 537 00:28:34,480 --> 00:28:37,200 Speaker 1: they might rip and replace it, but more generally they 538 00:28:37,240 --> 00:28:39,360 Speaker 1: just add around it. And so you know, when you 539 00:28:39,400 --> 00:28:42,080 Speaker 1: buy a software company, you're buying a revenue stream with 540 00:28:42,160 --> 00:28:45,120 Speaker 1: a very long tail. Uh. And the other driver here 541 00:28:45,320 --> 00:28:48,040 Speaker 1: is that, you know, some of these software businesses have 542 00:28:48,200 --> 00:28:50,800 Speaker 1: not they have not learned how to be profitable yet, 543 00:28:51,280 --> 00:28:54,080 Speaker 1: but they're very capable of being profitable because the revenue 544 00:28:54,120 --> 00:28:57,120 Speaker 1: doesn't go away because there's low turn And so the 545 00:28:57,240 --> 00:29:00,320 Speaker 1: private equity firms are are experts in being able to 546 00:29:01,040 --> 00:29:04,000 Speaker 1: m create more disciplined cost control of these companies and 547 00:29:04,040 --> 00:29:06,800 Speaker 1: generate a lot more cash when these companies go private 548 00:29:06,840 --> 00:29:08,840 Speaker 1: and and that's what's happening here. You know, Cooper has 549 00:29:08,880 --> 00:29:11,440 Speaker 1: pretty good cash flow, but um, you know, they've got 550 00:29:11,480 --> 00:29:14,240 Speaker 1: tough competition in the markets with s A p uh 551 00:29:14,280 --> 00:29:15,760 Speaker 1: they you know, we see them as the best to 552 00:29:15,840 --> 00:29:18,800 Speaker 1: breed leader in this business spend management. Um. But I 553 00:29:18,840 --> 00:29:20,840 Speaker 1: think the private equity firms, he's you know, they see 554 00:29:20,840 --> 00:29:23,640 Speaker 1: an opportunity to create shareholder value here, especially with the 555 00:29:23,680 --> 00:29:26,360 Speaker 1: stock having really been hit in the tech down turn 556 00:29:26,440 --> 00:29:28,480 Speaker 1: this year. You know, I think they see an opportunity 557 00:29:28,480 --> 00:29:30,240 Speaker 1: for you know, to add value and that you know, 558 00:29:30,320 --> 00:29:33,320 Speaker 1: to ultimately take take Kopa either public again or have 559 00:29:33,400 --> 00:29:37,280 Speaker 1: them acquired by a strates software strategic vendor at a 560 00:29:37,320 --> 00:29:40,120 Speaker 1: higher price. All right, good stuff, Steve, good having you on. 561 00:29:40,240 --> 00:29:44,480 Speaker 1: Steve Kanni, really smart dude on this whole software tech space. 562 00:29:44,600 --> 00:29:48,120 Speaker 1: We need those kinds of voices here, SMBC Nico Securities 563 00:29:48,160 --> 00:29:50,320 Speaker 1: to cover software there. We appreciate getting a few minutes 564 00:29:50,320 --> 00:29:56,120 Speaker 1: of his time. It's pretty go to West Kasova. Now 565 00:29:56,160 --> 00:29:59,360 Speaker 1: he's a host of Bloomberg's Big Take podcast. A Big 566 00:29:59,360 --> 00:30:02,280 Speaker 1: Take some of the best reported stories coming out of 567 00:30:02,320 --> 00:30:05,240 Speaker 1: Bloomberg News. And so therefore you give a podcast because 568 00:30:05,280 --> 00:30:07,520 Speaker 1: that's what the kids are doing today, mouth doing the podcastings. 569 00:30:07,520 --> 00:30:11,200 Speaker 1: It's actually big business advertisers like it. West. Thanks much 570 00:30:11,240 --> 00:30:13,520 Speaker 1: for joining us here. What do you guys have on 571 00:30:13,600 --> 00:30:17,960 Speaker 1: your Big Take podcast today? Today we're telling the story 572 00:30:18,000 --> 00:30:21,480 Speaker 1: actually our second installment on TikTok, you know, the who 573 00:30:21,600 --> 00:30:25,120 Speaker 1: was placed on the internet. UH investigative reporter Olivia carverl 574 00:30:25,240 --> 00:30:29,280 Speaker 1: did a story for UH Bloomberg a couple of weeks 575 00:30:29,280 --> 00:30:34,360 Speaker 1: ago about kids who were accidentally killing themselves trying to 576 00:30:34,440 --> 00:30:36,840 Speaker 1: copy these dangerous challenges that appear in some of the 577 00:30:36,920 --> 00:30:40,120 Speaker 1: videos on TikTok, like the blackout challenge, where people try 578 00:30:40,160 --> 00:30:42,760 Speaker 1: to you know, black themselves out and get that rush 579 00:30:42,800 --> 00:30:46,040 Speaker 1: when they wake back up. Well, kids, unfortunately who are 580 00:30:46,080 --> 00:30:48,960 Speaker 1: really younger doing it, and several of them have died. 581 00:30:49,840 --> 00:30:52,520 Speaker 1: In her second story, which we feature on the podcast today, 582 00:30:52,560 --> 00:30:55,320 Speaker 1: she's talking about something a little bit different but in 583 00:30:55,440 --> 00:30:59,040 Speaker 1: a little bit harder to track, which is what she 584 00:30:59,160 --> 00:31:02,760 Speaker 1: calls key TikTok, and that's kids who have these accounts 585 00:31:02,760 --> 00:31:07,640 Speaker 1: are teenagers, um, and sometimes they're a little bit provocative 586 00:31:07,880 --> 00:31:10,840 Speaker 1: on their accounts. A lot of them are teenage girls. 587 00:31:11,040 --> 00:31:15,640 Speaker 1: They're wearing kind of skimpy outfits, they're dancing provocatively. The 588 00:31:15,720 --> 00:31:18,640 Speaker 1: lyrics of the songs are very suggestive. And there's this 589 00:31:18,720 --> 00:31:24,480 Speaker 1: big tension between kids doing things on the platform whether 590 00:31:24,600 --> 00:31:27,360 Speaker 1: that platform should allow it on and a lot of 591 00:31:27,720 --> 00:31:30,400 Speaker 1: parents and other people are saying that it's inappropriate, it's 592 00:31:30,440 --> 00:31:32,880 Speaker 1: influencing their kids, and they wind it off the platform. 593 00:31:33,160 --> 00:31:35,280 Speaker 1: I mean, it sounds more like a parents problem than 594 00:31:35,320 --> 00:31:39,000 Speaker 1: a platform problem. To me, Why would welcome to the 595 00:31:39,040 --> 00:31:41,440 Speaker 1: Why would parents allow their kids to go on this? 596 00:31:41,560 --> 00:31:45,640 Speaker 1: Chinese who have and raised teenagers, it is it is 597 00:31:45,720 --> 00:31:48,560 Speaker 1: the number one issue. It's funny we have police officers 598 00:31:48,640 --> 00:31:51,680 Speaker 1: would come into school about drugs and alcohol. That's not 599 00:31:51,760 --> 00:31:54,680 Speaker 1: the issue anymore. I mean that is something that parents 600 00:31:54,680 --> 00:31:56,640 Speaker 1: they kind of have a hold on. The problem with 601 00:31:56,680 --> 00:31:59,880 Speaker 1: the internet is parents buy and large don't know what 602 00:32:00,040 --> 00:32:03,600 Speaker 1: they don't know. It is brutally difficult to do with 603 00:32:03,640 --> 00:32:07,240 Speaker 1: their software out there. But having raised four teenagers, I 604 00:32:07,240 --> 00:32:08,760 Speaker 1: can take you, well, let me let me ask you 605 00:32:08,800 --> 00:32:11,760 Speaker 1: this West how I mean, even if we decide as 606 00:32:11,920 --> 00:32:16,320 Speaker 1: as Americans that something that TikTok should be regulated differently, 607 00:32:16,440 --> 00:32:18,200 Speaker 1: how much control over that we have since it's a 608 00:32:18,320 --> 00:32:22,760 Speaker 1: Chinese company. But you know, it's not so much that's 609 00:32:22,760 --> 00:32:25,080 Speaker 1: a Chinese company. When it comes to the control as 610 00:32:25,120 --> 00:32:28,280 Speaker 1: it is um this idea of how do you police 611 00:32:29,080 --> 00:32:33,520 Speaker 1: a platform that has tens of billions of videos every year, 612 00:32:33,560 --> 00:32:38,560 Speaker 1: Olivia writes, in the first half of the year, TikTok removed. 613 00:32:39,040 --> 00:32:43,840 Speaker 1: I believe it was something like, uh, two hundred million 614 00:32:44,160 --> 00:32:46,680 Speaker 1: videos from the site that we deemed to be inappropriate. 615 00:32:46,920 --> 00:32:50,160 Speaker 1: But in that time there were twenty billion videos that 616 00:32:50,200 --> 00:32:53,400 Speaker 1: were downloaded. And you make a good point about the parents. 617 00:32:53,720 --> 00:32:55,840 Speaker 1: You know, it used to be you'd have a computer 618 00:32:55,920 --> 00:32:57,760 Speaker 1: on the desktop and you could have a white list 619 00:32:57,760 --> 00:32:59,560 Speaker 1: on the computer of sites where your kids could go 620 00:32:59,640 --> 00:33:01,840 Speaker 1: or not. And now it's on phones and they create 621 00:33:01,840 --> 00:33:04,960 Speaker 1: a counting different names. Their parents don't know about the accounts. 622 00:33:05,320 --> 00:33:10,240 Speaker 1: In the podcast, Olivia talks about this one girl whose 623 00:33:10,360 --> 00:33:13,120 Speaker 1: name her her name on the platform is Jenny Papaci. 624 00:33:13,560 --> 00:33:16,400 Speaker 1: She's sixteen years old, and she's become one of the 625 00:33:16,480 --> 00:33:19,160 Speaker 1: most popular and one of the most controversial people on 626 00:33:19,240 --> 00:33:22,240 Speaker 1: the platform because of the way she dances, and she 627 00:33:22,320 --> 00:33:26,960 Speaker 1: has seven million followers. She has brand deals because she's 628 00:33:27,000 --> 00:33:29,520 Speaker 1: so popular that people want to, you know, have her future. 629 00:33:29,520 --> 00:33:32,600 Speaker 1: Their quote, Yeah, it's it's uh, it is the wild 630 00:33:32,600 --> 00:33:35,160 Speaker 1: West in so many ways West Kasova. He's a host 631 00:33:35,200 --> 00:33:37,840 Speaker 1: of Bloomberg Is the Big Take podcast all those well 632 00:33:38,000 --> 00:33:41,520 Speaker 1: reported stories. Thanks for listening to the Bloomberg Markets podcast. 633 00:33:41,920 --> 00:33:45,120 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 634 00:33:45,240 --> 00:33:49,160 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 635 00:33:49,200 --> 00:33:52,600 Speaker 1: on Twitter at Matt Miller N seventy three p On 636 00:33:52,680 --> 00:33:55,760 Speaker 1: Fall Sweeney, I'm on Twitter at pt Sweeney. Before the podcast. 637 00:33:55,800 --> 00:33:58,280 Speaker 1: You can always catch us worldwide at Bloomberg Radio