1 00:00:02,480 --> 00:00:06,800 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,640 --> 00:00:12,840 Speaker 2: This is the Bloomberg Daybreak Asia podcast. I'm Doug Krisner. 3 00:00:12,920 --> 00:00:15,400 Speaker 2: You can join Brian Curtis and myself for the stories, 4 00:00:15,440 --> 00:00:18,520 Speaker 2: making news and moving markets in the APAC region. You 5 00:00:18,600 --> 00:00:21,439 Speaker 2: can subscribe to the show anywhere you get your podcast 6 00:00:21,520 --> 00:00:24,919 Speaker 2: and always on Bloomberg Radio, the Bloomberg Terminal, and the 7 00:00:24,920 --> 00:00:29,360 Speaker 2: Bloomberg Business app. Carlos Kusanov is with us. Carlos is 8 00:00:29,440 --> 00:00:33,360 Speaker 2: senior Asia economist at UBP. He is in our studios 9 00:00:33,440 --> 00:00:36,360 Speaker 2: in Hong Kong. Nice of you to join us. I 10 00:00:36,440 --> 00:00:38,320 Speaker 2: got to begin with the data that we looked at 11 00:00:38,840 --> 00:00:42,160 Speaker 2: on the Chinese economy over the weekend, this manufacturing PMI. 12 00:00:42,560 --> 00:00:44,440 Speaker 2: Maybe it wasn't surprising to you that we're going to 13 00:00:44,440 --> 00:00:48,320 Speaker 2: see continued weakness. How problematic is it though? For Beijing? 14 00:00:49,280 --> 00:00:51,680 Speaker 3: Good morning and thanks for having me so. Over the 15 00:00:51,720 --> 00:00:56,280 Speaker 3: weekend we saw much week manufacturing PMI numbers marking the 16 00:00:56,360 --> 00:01:00,560 Speaker 3: fourth month of consecutive declines. So it was not entirely 17 00:01:00,560 --> 00:01:03,680 Speaker 3: surprising because we have already seen it happen for three months. 18 00:01:04,760 --> 00:01:07,279 Speaker 3: It is problematic in the sense that China is looking 19 00:01:07,319 --> 00:01:10,440 Speaker 3: to achieve a five point zero percent growth target. And 20 00:01:10,480 --> 00:01:14,640 Speaker 3: we are far behind that number. Growth in the first 21 00:01:14,640 --> 00:01:16,720 Speaker 3: half was four point five, but of course that's only 22 00:01:16,760 --> 00:01:19,240 Speaker 3: because we had a very strong GDP print in the 23 00:01:19,280 --> 00:01:22,640 Speaker 3: first quarta. Growth slowed significantly to below four percent in 24 00:01:22,640 --> 00:01:26,440 Speaker 3: the second quarta. So the manufacturing PMI weighs quite a 25 00:01:26,480 --> 00:01:29,479 Speaker 3: bit on GDP and it was quite negative, suggesting that 26 00:01:29,600 --> 00:01:32,520 Speaker 3: pressures do persist and the government needs to do more 27 00:01:32,520 --> 00:01:33,759 Speaker 3: to alleviate those pressures. 28 00:01:33,880 --> 00:01:36,840 Speaker 2: If one of the things that struck me, both the 29 00:01:36,959 --> 00:01:42,199 Speaker 2: underlying input cost index and the output sub index showed 30 00:01:42,280 --> 00:01:46,600 Speaker 2: signs of deepening deflation. And I know we've talked about 31 00:01:46,600 --> 00:01:51,040 Speaker 2: the similarities between what Japan went through thirty years ago 32 00:01:51,120 --> 00:01:54,960 Speaker 2: and what China could be facing these days. Are we 33 00:01:55,160 --> 00:01:59,400 Speaker 2: at risk of seeing a really severe deflationary trap in 34 00:01:59,480 --> 00:02:00,000 Speaker 2: China right now? 35 00:02:01,160 --> 00:02:03,640 Speaker 3: That's right. So if you look at these subcomponents of 36 00:02:03,720 --> 00:02:07,040 Speaker 3: the PMI index, we saw weakness across the board, but 37 00:02:07,320 --> 00:02:11,600 Speaker 3: a lot of the declines, you know, marked declines across 38 00:02:11,600 --> 00:02:17,040 Speaker 3: two key subcomponents producer, the output price and the input price, 39 00:02:17,080 --> 00:02:20,240 Speaker 3: and that reflects two different things. The output price reflects 40 00:02:20,280 --> 00:02:22,760 Speaker 3: the fact that you have over capacity concerns in some 41 00:02:22,840 --> 00:02:26,520 Speaker 3: industrial sectors, and because demand is still very weak. You 42 00:02:26,560 --> 00:02:30,320 Speaker 3: have supply exceeding demand, and you have very negative factory prices. 43 00:02:31,480 --> 00:02:34,960 Speaker 3: It you know, in any economy, upstream prices trickle down 44 00:02:35,000 --> 00:02:37,480 Speaker 3: to consumer prices, and so the fact that you have 45 00:02:38,000 --> 00:02:41,400 Speaker 3: signs of deflation in upstream prices suggests that it's going 46 00:02:41,440 --> 00:02:44,880 Speaker 3: to be that much more challenging for China to reflate 47 00:02:44,919 --> 00:02:48,080 Speaker 3: its economy once again because you have the structural oversupply 48 00:02:48,160 --> 00:02:51,200 Speaker 3: of goods in the economy, very weak demand. And the 49 00:02:51,280 --> 00:02:54,520 Speaker 3: other subcomponent was the input price. Now that is not 50 00:02:54,720 --> 00:02:58,360 Speaker 3: entirely reflective of the domestic economy, but we did see 51 00:02:59,080 --> 00:03:02,639 Speaker 3: broad based US dollar weakness last month, and so the 52 00:03:03,040 --> 00:03:05,680 Speaker 3: cost of inputs decreased as a result of that. So 53 00:03:05,720 --> 00:03:08,200 Speaker 3: that is the other factor that was perhaps you know, 54 00:03:08,520 --> 00:03:13,560 Speaker 3: exacerbating inflationary pressures in the economy, but it isn't, you know, 55 00:03:13,639 --> 00:03:17,320 Speaker 3: undeniable that we are seeing over capacity and weak demand, 56 00:03:17,400 --> 00:03:22,880 Speaker 3: which is translating to structural this inflationary pressure. So not 57 00:03:23,000 --> 00:03:25,160 Speaker 3: quite Japan in my opinion, but it is going to 58 00:03:25,200 --> 00:03:27,200 Speaker 3: take a lot for China to reflate its economy in 59 00:03:27,200 --> 00:03:27,840 Speaker 3: this environment. 60 00:03:28,280 --> 00:03:31,120 Speaker 2: You look at the lack of positive sentiment and reflected 61 00:03:31,120 --> 00:03:33,920 Speaker 2: in the latest sales figures that we had on housing, 62 00:03:34,160 --> 00:03:37,480 Speaker 2: and you come away with the idea that this slump 63 00:03:37,480 --> 00:03:40,880 Speaker 2: and residential real estate is only deepening right now, so 64 00:03:40,920 --> 00:03:44,440 Speaker 2: the government, it would seem, has to take more action. 65 00:03:44,440 --> 00:03:45,400 Speaker 2: Wouldn't you agree with that? 66 00:03:46,160 --> 00:03:50,600 Speaker 3: I totally agree. I think they announced a package of 67 00:03:50,640 --> 00:03:54,480 Speaker 3: measures in April. At the time, it seemed like a 68 00:03:54,480 --> 00:03:58,000 Speaker 3: step in the right direction. The intent of that decision was, 69 00:03:58,040 --> 00:04:00,240 Speaker 3: of course, to sort of get the housing stimulus out 70 00:04:00,240 --> 00:04:02,880 Speaker 3: of the way for the July meetings, the third penum 71 00:04:02,920 --> 00:04:05,000 Speaker 3: that focuses on structural reforms, so they didn't want to 72 00:04:05,000 --> 00:04:09,440 Speaker 3: have to focus on housing. In hindsight, it's clear that 73 00:04:09,520 --> 00:04:12,720 Speaker 3: whatever the three hundred billions rescue package for the real 74 00:04:12,800 --> 00:04:18,839 Speaker 3: estate tector was insufficient, and they've also moved to alleviate 75 00:04:18,920 --> 00:04:23,720 Speaker 3: some of the macroprudential rules to basically facilitate people buying 76 00:04:23,720 --> 00:04:26,440 Speaker 3: houses and speculating in real estate in Tier one cities. 77 00:04:27,560 --> 00:04:31,080 Speaker 3: But that's not enough either, So they were Anecdotally, we 78 00:04:31,120 --> 00:04:34,599 Speaker 3: do hear that some luxury real estate developments in first 79 00:04:34,640 --> 00:04:38,159 Speaker 3: year cities like Shanghai have been sold within two weeks 80 00:04:38,160 --> 00:04:42,840 Speaker 3: of launching, but those you know that anecdotal evidence isn't 81 00:04:42,880 --> 00:04:46,400 Speaker 3: translating yet into system wide appreciation. So we are not 82 00:04:46,480 --> 00:04:50,960 Speaker 3: seeing home prices in first year cities stabilizing as a result, 83 00:04:51,000 --> 00:04:54,279 Speaker 3: so it remains anecdotal at this point in time. The 84 00:04:54,360 --> 00:04:57,680 Speaker 3: only way around it will be, you know, if they 85 00:04:57,880 --> 00:05:02,039 Speaker 3: inject enough liquidity into the system that you see a 86 00:05:02,120 --> 00:05:07,080 Speaker 3: recovery in consumption. And of course, you know, if first 87 00:05:07,160 --> 00:05:10,080 Speaker 3: year cities start to stabilize, people might be more inclined 88 00:05:10,080 --> 00:05:14,480 Speaker 3: to shift investments away from government bonds and ultra safe 89 00:05:14,800 --> 00:05:20,159 Speaker 3: options like high dividend stocks from state tone enterprises two 90 00:05:20,160 --> 00:05:24,160 Speaker 3: sort of slightly riskier, but you know, very traditional outlets 91 00:05:24,200 --> 00:05:27,280 Speaker 3: like real estate in first year cities. But sentiment is 92 00:05:27,320 --> 00:05:28,960 Speaker 3: still very weak, so we are not seeing that yet. 93 00:05:29,040 --> 00:05:30,680 Speaker 2: Yeah, no doubt about that. And one of the key 94 00:05:30,839 --> 00:05:33,400 Speaker 2: questions I think for Japan, given the fact that China 95 00:05:33,480 --> 00:05:36,880 Speaker 2: is such a large trading partner, to what extent is 96 00:05:36,920 --> 00:05:39,400 Speaker 2: the weak Chinese economy holding back Japan? Do you have 97 00:05:39,440 --> 00:05:39,920 Speaker 2: a sense of that? 98 00:05:41,200 --> 00:05:41,520 Speaker 4: I do. 99 00:05:41,640 --> 00:05:45,080 Speaker 3: Actually, we've priced this into the outlook. I think a 100 00:05:45,120 --> 00:05:48,360 Speaker 3: lot of exporters in Asia have benefited from stronger US 101 00:05:48,400 --> 00:05:50,880 Speaker 3: demand in the first half of the year. The expectation 102 00:05:51,000 --> 00:05:54,000 Speaker 3: now is that US demand is starting to normalize in 103 00:05:54,040 --> 00:05:55,560 Speaker 3: the second half of the year, we are going to 104 00:05:55,600 --> 00:06:00,160 Speaker 3: have positive growth, but we are seeing domestic consumption significantly 105 00:06:00,200 --> 00:06:04,000 Speaker 3: below two percent, and so with that should come phasing 106 00:06:04,040 --> 00:06:07,839 Speaker 3: out of that tailwind that Asian exporters including Japan, have 107 00:06:07,920 --> 00:06:11,640 Speaker 3: benefited from in the first half of the year. A 108 00:06:11,680 --> 00:06:13,760 Speaker 3: few months ago, the expectation was that, you know, the 109 00:06:13,880 --> 00:06:17,640 Speaker 3: China story, the recovery of you know, real estate prices 110 00:06:18,240 --> 00:06:21,920 Speaker 3: benefiting consumers, and then normalization and consumption in China, that 111 00:06:21,920 --> 00:06:24,400 Speaker 3: that should begin to kick in the second half of 112 00:06:24,440 --> 00:06:27,520 Speaker 3: the year, partially offsetting some of the weakness from the US. 113 00:06:28,279 --> 00:06:30,440 Speaker 3: But it is just going to take longer than that, 114 00:06:30,560 --> 00:06:33,479 Speaker 3: and so for all of the major exporters in the region, 115 00:06:33,520 --> 00:06:36,320 Speaker 3: including Japan, I think in the second half of the year, 116 00:06:36,440 --> 00:06:38,880 Speaker 3: external demand is going to be a net drag on 117 00:06:38,920 --> 00:06:39,520 Speaker 3: their economy. 118 00:06:40,360 --> 00:06:42,440 Speaker 2: Carlos, good stuff. Thank you so much for making time 119 00:06:42,480 --> 00:06:45,520 Speaker 2: to chat with us. Carlos Casanova. He is senior Asia 120 00:06:45,560 --> 00:06:55,240 Speaker 2: economist at upp. Anne Barry is with us. She has 121 00:06:55,279 --> 00:06:58,840 Speaker 2: founder also managing partner at Thread Needle. Joining us on 122 00:06:58,880 --> 00:07:01,640 Speaker 2: the line from here in New York City. It's been 123 00:07:01,680 --> 00:07:04,200 Speaker 2: too long. Thanks for making time to chat with us. 124 00:07:04,200 --> 00:07:06,560 Speaker 2: I hope you're doing well, I know you as an 125 00:07:06,560 --> 00:07:09,040 Speaker 2: expert when it comes to kind of private markets. We 126 00:07:09,080 --> 00:07:11,080 Speaker 2: can put that aside for the moment. Can you share 127 00:07:11,120 --> 00:07:13,840 Speaker 2: with me your view on what you see where public 128 00:07:13,880 --> 00:07:15,200 Speaker 2: markets are concerned right now? 129 00:07:16,160 --> 00:07:18,200 Speaker 4: Doug. It's great to be back, so thanks, thanks for 130 00:07:18,280 --> 00:07:21,720 Speaker 4: having me on. And I think this is a timely conversation, Doug, 131 00:07:21,800 --> 00:07:24,800 Speaker 4: because the markets have been such a roller coaster and 132 00:07:24,840 --> 00:07:28,480 Speaker 4: slightly unpredictable in terms of what kinds of news it's 133 00:07:28,560 --> 00:07:31,760 Speaker 4: rewarding and what kinds of news it's punishing at the moment, Doug. 134 00:07:31,800 --> 00:07:34,040 Speaker 4: So we took a look at last week. My expression 135 00:07:34,240 --> 00:07:40,080 Speaker 4: was no good beat went unpunished. Nvidia got punished in 136 00:07:40,120 --> 00:07:42,800 Speaker 4: the market despite the strong report, retailers did despite the 137 00:07:42,840 --> 00:07:44,560 Speaker 4: strong report. And it tells me that now is the 138 00:07:44,560 --> 00:07:48,880 Speaker 4: moment to really look for thematics, to look for fundamentals. 139 00:07:49,200 --> 00:07:51,200 Speaker 4: Bisector and I've got thoughts in a couple of them, 140 00:07:51,200 --> 00:07:55,000 Speaker 4: But the overarching point here is it's not about responding 141 00:07:55,000 --> 00:07:57,240 Speaker 4: to earnings anymore. It's about getting back to themes that 142 00:07:57,240 --> 00:07:58,720 Speaker 4: we can stand behind for the long run. 143 00:07:59,280 --> 00:08:01,920 Speaker 2: Does the narrative around a soft landing enter into this 144 00:08:02,000 --> 00:08:04,400 Speaker 2: thinking at all? Do you think is that a little separate. 145 00:08:05,400 --> 00:08:07,600 Speaker 4: I think it does enter into it because I think 146 00:08:07,640 --> 00:08:09,400 Speaker 4: it means that we are going to get rate cuts, 147 00:08:09,440 --> 00:08:11,600 Speaker 4: that perhaps we're a little bit deeper, a little bit faster, 148 00:08:11,800 --> 00:08:13,800 Speaker 4: doug than we had thought about before. And so when 149 00:08:13,840 --> 00:08:16,840 Speaker 4: I come back to these thematics, I asked myself, well, 150 00:08:16,880 --> 00:08:19,640 Speaker 4: which kinds of sectors stand to gain one from that 151 00:08:19,720 --> 00:08:23,240 Speaker 4: reduced long term rate outlook, and two from the good 152 00:08:23,320 --> 00:08:26,680 Speaker 4: secular trends and so software in the public markets one 153 00:08:26,680 --> 00:08:29,080 Speaker 4: area I've been looking at specifically at these names that 154 00:08:29,120 --> 00:08:31,920 Speaker 4: are one interest rate sensitive, but two where there's a 155 00:08:31,960 --> 00:08:36,280 Speaker 4: real thesis around providing one stop shop solutions, particularly for 156 00:08:36,440 --> 00:08:40,559 Speaker 4: medium and small sized enterprises, people like workday in sales, 157 00:08:40,600 --> 00:08:42,959 Speaker 4: sport and pallel to networks. So I've been spending a 158 00:08:43,000 --> 00:08:44,520 Speaker 4: lot of time looking at those businesses. 159 00:08:44,559 --> 00:08:48,480 Speaker 2: What do you think about software companies relative to the 160 00:08:48,559 --> 00:08:51,760 Speaker 2: AI story? Should we look at that together? 161 00:08:53,280 --> 00:08:53,440 Speaker 3: You know? 162 00:08:53,559 --> 00:08:55,319 Speaker 4: Do you and I talked about in the past, I've 163 00:08:55,320 --> 00:08:58,160 Speaker 4: been somewhat skeptical about the AI story, and I've certainly 164 00:08:58,200 --> 00:09:01,160 Speaker 4: had a perspective back to your opening line that in 165 00:09:01,200 --> 00:09:04,560 Speaker 4: the private market, AI valuations have been well into bubble 166 00:09:04,640 --> 00:09:06,680 Speaker 4: territory for a long time, and incidentally, I think the 167 00:09:06,760 --> 00:09:10,040 Speaker 4: recent roomored one hundred billion dollar valuation for open AI 168 00:09:10,120 --> 00:09:12,880 Speaker 4: falls into that bucket. So I've been skeptical. I've been 169 00:09:12,880 --> 00:09:16,400 Speaker 4: applying applying that skepticism to the public market. So the 170 00:09:16,480 --> 00:09:18,480 Speaker 4: kinds of companies I've been looking at again like the 171 00:09:18,520 --> 00:09:21,959 Speaker 4: workdays of sales forces, and also companies like trade Desk, 172 00:09:22,040 --> 00:09:26,480 Speaker 4: which is a digital marketplace for connected TV ads. These 173 00:09:26,480 --> 00:09:28,960 Speaker 4: are companies that at some point may benefit from AI 174 00:09:29,360 --> 00:09:32,120 Speaker 4: in terms of productivity to lift margins or in generative 175 00:09:32,160 --> 00:09:36,000 Speaker 4: AI to get the revenue generation up, but they're not 176 00:09:36,080 --> 00:09:39,800 Speaker 4: dependent on AI driving the increasing scale I expect them 177 00:09:39,800 --> 00:09:41,840 Speaker 4: to experience, so I think it's been quite important to 178 00:09:41,840 --> 00:09:42,520 Speaker 4: separate them. 179 00:09:43,160 --> 00:09:45,280 Speaker 2: I'm curious as to whether or not you think companies 180 00:09:45,720 --> 00:09:49,120 Speaker 2: the ones you've just described there these startups would be 181 00:09:49,120 --> 00:09:52,920 Speaker 2: more inclined to go to a larger player and for 182 00:09:53,000 --> 00:09:55,880 Speaker 2: that player to become acquisitive, rather than from the startup 183 00:09:55,920 --> 00:09:59,240 Speaker 2: to go to raise capital through an IPO. Is that right? 184 00:10:00,080 --> 00:10:02,680 Speaker 4: That's such a great question, and let's talk about IPOs. 185 00:10:02,800 --> 00:10:05,400 Speaker 4: Everyone thought at the beginning of this year, once we 186 00:10:05,480 --> 00:10:07,760 Speaker 4: saw Reddit go out into the market and IPO, once 187 00:10:07,760 --> 00:10:10,000 Speaker 4: we saw Rubric go out into the market, which was 188 00:10:10,040 --> 00:10:12,360 Speaker 4: in the spring of this year that Q four of 189 00:10:12,360 --> 00:10:14,400 Speaker 4: twenty twenty four would be the moment that the IPO 190 00:10:14,480 --> 00:10:16,800 Speaker 4: window opened up. And at the moment, to be honest, 191 00:10:16,960 --> 00:10:19,320 Speaker 4: there aren't signs quite yet that there's going to be 192 00:10:19,360 --> 00:10:22,840 Speaker 4: this blossoming of IPO activity that folks were expecting. It 193 00:10:22,840 --> 00:10:25,960 Speaker 4: feels as though electoral uncertainty is still squashing the IPO 194 00:10:26,040 --> 00:10:29,000 Speaker 4: market a little bit, and there's a little bit of 195 00:10:29,040 --> 00:10:31,600 Speaker 4: wait and see going on. So I do think that 196 00:10:31,640 --> 00:10:35,080 Speaker 4: there's a whole slew of privately held companies that have 197 00:10:35,200 --> 00:10:38,080 Speaker 4: got slightly impatient investors who pumped a lot of cash 198 00:10:38,120 --> 00:10:41,600 Speaker 4: into them in twenty twenty one twenty twenty two, who 199 00:10:41,640 --> 00:10:44,400 Speaker 4: are saying, look, you can't bank on an IPO outcome here, 200 00:10:44,520 --> 00:10:46,520 Speaker 4: Let's really go and try and get some synergies. Let's 201 00:10:46,520 --> 00:10:48,720 Speaker 4: sell to let's sell to a strategic and get a clean, 202 00:10:49,320 --> 00:10:52,080 Speaker 4: clean exit, rather than if you're an investor and you 203 00:10:52,120 --> 00:10:54,320 Speaker 4: wait for your portfolio company to go public, your subject 204 00:10:54,320 --> 00:10:56,000 Speaker 4: to lock up, so you have to sell down over time. 205 00:10:56,280 --> 00:10:59,520 Speaker 4: So I think a strategic sept just a strategic exit, 206 00:11:00,360 --> 00:11:01,880 Speaker 4: it is looking increasingly attractive. 207 00:11:02,120 --> 00:11:04,560 Speaker 2: We're a little more than two months away from the election. 208 00:11:04,640 --> 00:11:07,400 Speaker 2: How do you think that's entering into the thinking in 209 00:11:07,520 --> 00:11:10,280 Speaker 2: terms of people that are really playing this market right now. 210 00:11:11,720 --> 00:11:13,920 Speaker 4: It's such a good question, and one of the conversations 211 00:11:13,960 --> 00:11:17,280 Speaker 4: I'm having a lot with folks Doug is what does 212 00:11:17,320 --> 00:11:21,240 Speaker 4: the Harris trade look like versus the Trump trade? And 213 00:11:21,679 --> 00:11:24,040 Speaker 4: you know the moment in time when it looked as 214 00:11:24,040 --> 00:11:27,240 Speaker 4: though former President Trump and and Vice President his vice 215 00:11:27,280 --> 00:11:29,840 Speaker 4: president nominee J. D. Barns were getting traction. It looked 216 00:11:29,880 --> 00:11:32,160 Speaker 4: as though the market was stilling to double down on 217 00:11:32,200 --> 00:11:35,319 Speaker 4: things like energy and defense, classic sort of Trump or 218 00:11:35,400 --> 00:11:42,280 Speaker 4: Mark trade stock with Vice President Harris, Doug gaining momentum. 219 00:11:42,400 --> 00:11:46,040 Speaker 4: And we just had the Bloomberg voice over here on 220 00:11:46,080 --> 00:11:49,160 Speaker 4: your show that the Gats narrowing and the likes of Michigan. 221 00:11:49,880 --> 00:11:52,360 Speaker 4: It's getting a little uncertain because there isn't a clear 222 00:11:53,120 --> 00:11:57,520 Speaker 4: Harris trade yet. It's really unclear which sectors stand to 223 00:11:57,559 --> 00:12:00,320 Speaker 4: gain most from Vice President Harris becoming president and which 224 00:12:00,400 --> 00:12:02,520 Speaker 4: dand to lose because her policy position at the moment 225 00:12:02,520 --> 00:12:05,600 Speaker 4: seems to be business as usual, which doesn't really provide 226 00:12:05,640 --> 00:12:07,439 Speaker 4: a catalyst for much change, to be honest. So I 227 00:12:07,440 --> 00:12:09,000 Speaker 4: think it's we need to get a little bit closer 228 00:12:09,000 --> 00:12:09,440 Speaker 4: to the time. 229 00:12:09,920 --> 00:12:12,840 Speaker 2: I know you're going to be heading off to Germany soon. 230 00:12:13,480 --> 00:12:15,960 Speaker 2: Give me your sense of what that conversation is going 231 00:12:16,000 --> 00:12:19,040 Speaker 2: to be, like, what do you hope to discover when 232 00:12:19,080 --> 00:12:19,760 Speaker 2: you're in Berlin. 233 00:12:21,160 --> 00:12:22,960 Speaker 4: Well, I'm going to be talking to a lot of 234 00:12:23,000 --> 00:12:27,320 Speaker 4: CEOs there, Doug, of the global department stores, the likes 235 00:12:27,320 --> 00:12:31,200 Speaker 4: of Nordstrom, the lights of Carda Bay in Germany, the 236 00:12:31,320 --> 00:12:35,120 Speaker 4: likes of Central and Thailand. And one of the key 237 00:12:35,160 --> 00:12:37,120 Speaker 4: areas of dialogue is going to be what is the 238 00:12:37,160 --> 00:12:39,240 Speaker 4: state of the global consumer? And if we look at 239 00:12:39,240 --> 00:12:41,400 Speaker 4: what the US data has been saying. You cited the 240 00:12:41,480 --> 00:12:45,319 Speaker 4: inflation data now starting to come in where economists had expected. 241 00:12:45,679 --> 00:12:47,600 Speaker 4: But if you listen to the earnings calls we had 242 00:12:47,679 --> 00:12:51,120 Speaker 4: last week, there was a sense in the US at 243 00:12:51,200 --> 00:12:53,800 Speaker 4: least that the consumer is feeling pressured. We heard that 244 00:12:53,880 --> 00:12:56,480 Speaker 4: on the Abercrombie and Fitch earnings call. We heard that 245 00:12:56,559 --> 00:12:58,560 Speaker 4: on the Gap earnings call, we heard that on the 246 00:12:58,600 --> 00:13:03,320 Speaker 4: Coal earnings call, all saying we've had a run of 247 00:13:03,440 --> 00:13:06,760 Speaker 4: decent activity, but the consumer is really starting to feel 248 00:13:06,760 --> 00:13:10,160 Speaker 4: pressured and is shifting towards value. I'm really curious to 249 00:13:10,200 --> 00:13:13,920 Speaker 4: hear whether that trend, Doug is continuing in other markets 250 00:13:13,920 --> 00:13:17,000 Speaker 4: in Europe and in Asia as well. The second thing 251 00:13:17,040 --> 00:13:19,960 Speaker 4: I'm looking at is how much more digitization the retailers 252 00:13:19,960 --> 00:13:21,920 Speaker 4: are leading into. And I discussed when I went to 253 00:13:21,920 --> 00:13:24,760 Speaker 4: the similar conference last year. Last year, a big theme 254 00:13:24,840 --> 00:13:28,520 Speaker 4: is retail media, department stores and other retailers looking at 255 00:13:28,559 --> 00:13:32,720 Speaker 4: their email distribution list, their instore digital screens to find 256 00:13:32,760 --> 00:13:35,720 Speaker 4: inventory to sell for advertising. Really curious to see if 257 00:13:35,760 --> 00:13:38,360 Speaker 4: that's been gaining traction as we digitize more and more. 258 00:13:38,760 --> 00:13:40,840 Speaker 2: So I'm going to circle back to politics and try 259 00:13:40,880 --> 00:13:44,120 Speaker 2: to include it in our conversation around global retail right 260 00:13:44,120 --> 00:13:47,080 Speaker 2: now visa v tariffs. I mean, this is something that 261 00:13:47,120 --> 00:13:51,120 Speaker 2: Donald Trump is advocating. What would that mean to the outlook? 262 00:13:51,160 --> 00:13:54,040 Speaker 2: Do you think in the view of these global department 263 00:13:54,040 --> 00:13:57,960 Speaker 2: store CEOs, how would the notion of tariffs? How would 264 00:13:57,960 --> 00:13:59,160 Speaker 2: they respond? Do you think? 265 00:14:00,240 --> 00:14:04,319 Speaker 4: Well, it's certainly called added complexity when it's come to 266 00:14:04,360 --> 00:14:07,120 Speaker 4: supply chain management. And it's interesting because we saw today 267 00:14:07,160 --> 00:14:10,480 Speaker 4: that the Biden administration has been delaying announcements on China tariffs, 268 00:14:10,520 --> 00:14:13,240 Speaker 4: even though we've seen Canada step up to the plate. 269 00:14:13,520 --> 00:14:16,560 Speaker 4: I'll give you a really specific example, Doug, for how 270 00:14:16,559 --> 00:14:20,240 Speaker 4: I've seen this create complexity. I'm involved in a manufacturing 271 00:14:20,280 --> 00:14:22,600 Speaker 4: business and a client came to us recently and off 272 00:14:22,720 --> 00:14:26,760 Speaker 4: for a quote for us to provide a certain kind 273 00:14:26,800 --> 00:14:30,160 Speaker 4: of product, and we really had to go back and say, well, look, 274 00:14:30,200 --> 00:14:32,600 Speaker 4: if we source from China, which is what this client 275 00:14:32,680 --> 00:14:35,160 Speaker 4: is used to, then, given where the tariffs have been 276 00:14:35,200 --> 00:14:37,600 Speaker 4: and where they could go, that's going to force us 277 00:14:37,600 --> 00:14:40,200 Speaker 4: into producing one price level to them, which could force 278 00:14:40,280 --> 00:14:43,480 Speaker 4: them to go to another geography completely to go and 279 00:14:43,520 --> 00:14:46,240 Speaker 4: source a coming to us in the US. And so 280 00:14:46,320 --> 00:14:48,360 Speaker 4: we're having to double down on the work on looking 281 00:14:48,400 --> 00:14:51,080 Speaker 4: at other places in Asia, other places in South America 282 00:14:51,840 --> 00:14:54,880 Speaker 4: to provide components for that particular client. So I do 283 00:14:54,920 --> 00:14:57,000 Speaker 4: think it's going to add more and more complexity to 284 00:14:57,000 --> 00:14:59,640 Speaker 4: supply chains, which shifted a lot under the Trump administration. 285 00:15:00,080 --> 00:15:01,760 Speaker 4: If there's a second wave of that, Doug, I think 286 00:15:01,800 --> 00:15:04,200 Speaker 4: it's going to add perhaps a little bit of a 287 00:15:04,200 --> 00:15:08,520 Speaker 4: delay around the fight against inflation that's been going fairly 288 00:15:08,520 --> 00:15:09,480 Speaker 4: well in recent months. 289 00:15:09,760 --> 00:15:12,320 Speaker 2: Last question before I let you go, and I'm going 290 00:15:12,400 --> 00:15:14,480 Speaker 2: to ask you to respond at about twenty seconds here, 291 00:15:14,520 --> 00:15:16,800 Speaker 2: and maybe that's a little unfair. No matter Trump or 292 00:15:16,920 --> 00:15:19,880 Speaker 2: Harris is the bet for greater reshoring. 293 00:15:20,840 --> 00:15:23,040 Speaker 4: The bet is the greater restoring, no matter which one. 294 00:15:23,280 --> 00:15:25,880 Speaker 2: Absolutely all right, Always a pleasure and take good care. 295 00:15:25,920 --> 00:15:27,960 Speaker 2: I hope to see us soon. And Barry is founder. 296 00:15:27,960 --> 00:15:32,240 Speaker 2: I'm also managing partner at Thread Needle. Joining us here 297 00:15:37,680 --> 00:15:41,760 Speaker 2: Barbara and Bernard founder and the CIO at Windcrest Capital. 298 00:15:41,800 --> 00:15:44,840 Speaker 2: She joins us from the Bahamas. Thanks for making time 299 00:15:44,880 --> 00:15:47,840 Speaker 2: to chat with us. I got to go back to 300 00:15:47,880 --> 00:15:50,560 Speaker 2: what we learn Friday with that PCE. It seems to 301 00:15:50,600 --> 00:15:53,200 Speaker 2: me like inflation is really under control. I think the 302 00:15:53,240 --> 00:15:55,680 Speaker 2: FED is comfortable with that notion. Now they pretty much 303 00:15:55,960 --> 00:15:59,720 Speaker 2: have telegraphed a rate cut for September. The key question 304 00:15:59,880 --> 00:16:02,040 Speaker 2: is whether or not there is going to be a 305 00:16:02,160 --> 00:16:05,320 Speaker 2: pickup in the degree to which the labor market has 306 00:16:05,360 --> 00:16:09,480 Speaker 2: been deteriorating. That may determine the magnitude of easy going forward. 307 00:16:09,840 --> 00:16:12,080 Speaker 2: Talk to me about your view on the US jobs market. 308 00:16:12,080 --> 00:16:13,440 Speaker 2: How well do you think it's holding up? 309 00:16:15,120 --> 00:16:17,360 Speaker 1: Well? Thanks so much for having me on this evening. 310 00:16:18,200 --> 00:16:20,200 Speaker 1: I think you know it has held up in The 311 00:16:20,240 --> 00:16:23,200 Speaker 1: FED is obviously very dependent on data, so I think 312 00:16:23,240 --> 00:16:27,560 Speaker 1: the US jobs report later this week will be very instructive. 313 00:16:27,920 --> 00:16:29,960 Speaker 1: I mean, when you think about what's priced in I 314 00:16:29,960 --> 00:16:33,680 Speaker 1: think sixty five bits of cuts by year end, and 315 00:16:33,880 --> 00:16:38,120 Speaker 1: so whether that number changes that your guess is as 316 00:16:38,160 --> 00:16:39,160 Speaker 1: good as mine at this point. 317 00:16:39,440 --> 00:16:41,520 Speaker 2: So are you pretty much in the soft landing camp 318 00:16:41,520 --> 00:16:44,120 Speaker 2: then that the FED has been successful in avoiding recession. 319 00:16:45,560 --> 00:16:47,800 Speaker 1: Well, I think what we have right now is sort 320 00:16:47,840 --> 00:16:50,960 Speaker 1: of a Goldilocks type scenario right where the soft landing 321 00:16:51,040 --> 00:16:54,480 Speaker 1: narrative is certainly building momentum, and you know, you have 322 00:16:54,560 --> 00:16:58,600 Speaker 1: dissinplation trend right that, coupled with the price hikes that 323 00:16:58,640 --> 00:17:02,960 Speaker 1: are you know, that are being called for in September, 324 00:17:03,120 --> 00:17:06,399 Speaker 1: has just given a lot of complacency. So that's my 325 00:17:06,480 --> 00:17:12,040 Speaker 1: bigger concern as a more micro investor than a macro investor. 326 00:17:13,600 --> 00:17:18,560 Speaker 1: But yeah, we all know what complacency and consensus can 327 00:17:18,600 --> 00:17:20,639 Speaker 1: back fire very quickly, and we saw that at the 328 00:17:20,640 --> 00:17:23,320 Speaker 1: beginning of August and then you know, the market just 329 00:17:23,400 --> 00:17:27,240 Speaker 1: roared back. So a the thing that concerns me is 330 00:17:27,280 --> 00:17:30,119 Speaker 1: these Teflon like qualities because I don't think they're normal. 331 00:17:30,880 --> 00:17:34,480 Speaker 1: And September has historically been a very volatile market month 332 00:17:34,480 --> 00:17:36,960 Speaker 1: in the markets, so I don't think it's any time 333 00:17:37,040 --> 00:17:40,919 Speaker 1: to be complacent in here. But what changes that, Like, 334 00:17:40,960 --> 00:17:44,720 Speaker 1: what's a catalyst right, That's that's the harder question. And 335 00:17:45,040 --> 00:17:48,600 Speaker 1: I feel like right now the market's just sort of fidgeting, 336 00:17:48,640 --> 00:17:51,040 Speaker 1: if you will, with trying to find the next big 337 00:17:51,119 --> 00:17:54,080 Speaker 1: theme to take it higher. We're at all time high, 338 00:17:54,160 --> 00:17:56,399 Speaker 1: is essentially right, So how does the market go up 339 00:17:56,400 --> 00:17:59,040 Speaker 1: another twenty five percent from here? And if you think 340 00:17:59,080 --> 00:18:02,119 Speaker 1: about what has led to the gains in the market 341 00:18:02,240 --> 00:18:05,800 Speaker 1: over the last few years, it's always been thematic. Right. 342 00:18:05,840 --> 00:18:08,520 Speaker 1: We had the tech platforms and they were just the 343 00:18:08,560 --> 00:18:13,040 Speaker 1: best model ever, so crowded. Then obesity drugs and everyone 344 00:18:13,280 --> 00:18:16,199 Speaker 1: piled in, and then of course this year you had 345 00:18:16,240 --> 00:18:19,680 Speaker 1: Ais you know, saved the day and everyone thought, wow, 346 00:18:19,720 --> 00:18:22,600 Speaker 1: all these productivity gains. Of course, the markets can go 347 00:18:22,720 --> 00:18:26,040 Speaker 1: on forever, my fear, although those have all worked in 348 00:18:26,400 --> 00:18:30,919 Speaker 1: their great themes. Right, But the expectations for growth and 349 00:18:30,960 --> 00:18:33,840 Speaker 1: all of those themes are high, and so are the valuations. 350 00:18:34,560 --> 00:18:37,320 Speaker 1: So as a value investor, what I tend to think 351 00:18:37,400 --> 00:18:39,040 Speaker 1: is overpriced right now is growth. 352 00:18:40,000 --> 00:18:43,560 Speaker 2: Is there some degree of concern about the election maybe 353 00:18:43,680 --> 00:18:45,800 Speaker 2: looming over the market. I'm not saying that that could 354 00:18:45,800 --> 00:18:49,840 Speaker 2: be the catalyst to create the kind of second guessing 355 00:18:49,840 --> 00:18:53,240 Speaker 2: that you're talking about to say that the market would correct. 356 00:18:53,080 --> 00:18:56,160 Speaker 1: Great, it's a great question, right, And what we've seen 357 00:18:56,280 --> 00:18:58,879 Speaker 1: is a month in politics is a long time. Yeah, 358 00:18:58,920 --> 00:19:01,000 Speaker 1: you know, six weeks ago, the Trump trade was doing 359 00:19:01,080 --> 00:19:03,640 Speaker 1: so well, and you know, and then Biden stepped down 360 00:19:03,640 --> 00:19:08,359 Speaker 1: and Camela's you know, support has has truly been remarkable, 361 00:19:09,320 --> 00:19:11,320 Speaker 1: that grounds fall, that she's got behind her, and so 362 00:19:12,000 --> 00:19:17,600 Speaker 1: who knows. I don't have a crystal ball, but so 363 00:19:17,840 --> 00:19:20,680 Speaker 1: I wouldn't I wouldn't place bets based on you know, 364 00:19:20,680 --> 00:19:23,119 Speaker 1: I wouldn't invest based on the outcome of an election. 365 00:19:23,240 --> 00:19:27,120 Speaker 1: I think that's certainly somewhere. I don't have an edge. 366 00:19:27,680 --> 00:19:31,159 Speaker 2: Yeah, but if you look at economic plans, Kamala Harris 367 00:19:31,200 --> 00:19:34,040 Speaker 2: what she would like to accomplish through her economic agenda, 368 00:19:34,040 --> 00:19:39,280 Speaker 2: and whether that means that tax hikes, virtue that, you know, 369 00:19:39,359 --> 00:19:42,000 Speaker 2: whatever is a part of the tax code right now 370 00:19:42,040 --> 00:19:45,000 Speaker 2: in terms of those Trump tax cuts would not be extended. 371 00:19:46,280 --> 00:19:50,600 Speaker 2: President or Vice President Harris has basically said that that 372 00:19:50,680 --> 00:19:52,480 Speaker 2: she would like to be able to do more I 373 00:19:52,480 --> 00:19:55,000 Speaker 2: think on the fiscal side. And then former President Trump 374 00:19:55,080 --> 00:19:57,840 Speaker 2: is talking about the issue of tariffs is a way 375 00:19:57,880 --> 00:20:02,560 Speaker 2: of combating a lot of the the export favoritism maybe 376 00:20:02,560 --> 00:20:05,240 Speaker 2: that China enjoys, right, now do you think that either 377 00:20:05,280 --> 00:20:07,919 Speaker 2: one of those things could spell trouble for the bond market? 378 00:20:08,920 --> 00:20:14,639 Speaker 1: Well, the ironies, I think they're both inflationary, like higher taxes, terroriffts. 379 00:20:14,640 --> 00:20:17,560 Speaker 1: Those are all inflationary at a time when you've got 380 00:20:17,560 --> 00:20:22,720 Speaker 1: a very data dependent FED. So if you have higher inflation, 381 00:20:22,760 --> 00:20:24,960 Speaker 1: our rate's going to come down as much as being 382 00:20:25,000 --> 00:20:29,439 Speaker 1: priced in. So that's where the politics will matter. But 383 00:20:30,359 --> 00:20:33,440 Speaker 1: you know, again, people say things and do things differently, 384 00:20:35,240 --> 00:20:37,080 Speaker 1: and I think we would just have to wait to 385 00:20:37,080 --> 00:20:40,560 Speaker 1: see on that one. But they're both definitely inflationary, which 386 00:20:40,680 --> 00:20:44,120 Speaker 1: is a risk to the narrative that rates are coming down. 387 00:20:45,160 --> 00:20:48,000 Speaker 2: Where are you finding opportunity in markets these days? Barbara? 388 00:20:49,400 --> 00:20:53,160 Speaker 1: So, I think if we carry on in a Goldilock scenario, 389 00:20:53,359 --> 00:20:57,320 Speaker 1: what will happen is this very narrow rally will broaden out. 390 00:20:57,400 --> 00:20:58,760 Speaker 1: So if you look at the S and P five 391 00:20:58,840 --> 00:21:03,879 Speaker 1: hundred twenty times next year's earnings, you compare that to 392 00:21:03,920 --> 00:21:07,080 Speaker 1: the equal weight at SMP, which is trading at sixteen times. Right. 393 00:21:07,440 --> 00:21:11,680 Speaker 1: So I think what lower rates will do is bring 394 00:21:11,720 --> 00:21:15,600 Speaker 1: money into sectors and geographies that have underperformed during this 395 00:21:15,680 --> 00:21:19,240 Speaker 1: higher rate environment. And when I think of what's underperformed, 396 00:21:19,280 --> 00:21:22,560 Speaker 1: I really think it's emerging markets and capital intensive industries, 397 00:21:23,040 --> 00:21:25,960 Speaker 1: and the anomaly there is, you know, a very capital 398 00:21:26,000 --> 00:21:29,560 Speaker 1: intensive industry is mining. So I think lower rates help that, 399 00:21:31,160 --> 00:21:35,280 Speaker 1: and we have been able to identify opportunities where not 400 00:21:35,320 --> 00:21:38,560 Speaker 1: only is the stock cheap, but it has a catalyst 401 00:21:38,760 --> 00:21:43,000 Speaker 1: and then you have hopefully this tailwind of lower rates 402 00:21:43,080 --> 00:21:48,399 Speaker 1: and hopefully the economy continuing to grow. Of course, the 403 00:21:48,480 --> 00:21:50,400 Speaker 1: numbers we just got out of China this morning are 404 00:21:50,680 --> 00:21:55,240 Speaker 1: always worrying for commodities investors because that it tends to 405 00:21:55,240 --> 00:21:58,159 Speaker 1: be the tail that wigs the commodity job. But if 406 00:21:58,200 --> 00:22:00,239 Speaker 1: I just give you an example of how b up 407 00:22:00,320 --> 00:22:03,520 Speaker 1: some things have been in that sector. We like copper 408 00:22:03,560 --> 00:22:07,080 Speaker 1: because we think the energy transition tailwinds are undeniable and 409 00:22:07,119 --> 00:22:11,240 Speaker 1: we like the demand supply asymmetry there. But if you 410 00:22:11,240 --> 00:22:13,520 Speaker 1: look at a stock like twenty nine Medals, which is 411 00:22:13,560 --> 00:22:20,159 Speaker 1: an Australian listed primarily copper producing company, share price has 412 00:22:20,200 --> 00:22:22,800 Speaker 1: fallen from three dollars and sixteen cents in April of 413 00:22:22,800 --> 00:22:26,480 Speaker 1: twenty two to thirty seven cents now. And part of 414 00:22:26,520 --> 00:22:28,879 Speaker 1: that was just a force of nature. They had a 415 00:22:28,920 --> 00:22:32,360 Speaker 1: flood in one of their two minds, and so if 416 00:22:32,359 --> 00:22:34,800 Speaker 1: you look at that on a normalized basis earnings, and 417 00:22:34,840 --> 00:22:38,359 Speaker 1: you think, well, lightning doesn't strike twice. You know, do 418 00:22:38,440 --> 00:22:41,280 Speaker 1: you have a self help story here with a new 419 00:22:41,359 --> 00:22:45,399 Speaker 1: CEO who's highly incentivized and it has a lot interests 420 00:22:45,400 --> 00:22:49,600 Speaker 1: that are aligned with ours. He's making great progress in 421 00:22:49,680 --> 00:22:52,479 Speaker 1: terms of addressing the uncertainties in the stock, whether it's 422 00:22:52,520 --> 00:22:55,919 Speaker 1: the additional equity raise or debt restructuring or timing an 423 00:22:55,960 --> 00:23:01,159 Speaker 1: amount on insurance payout claims. You still have one of 424 00:23:01,200 --> 00:23:03,439 Speaker 1: their two minds, which is producing, so it's not like 425 00:23:03,520 --> 00:23:06,760 Speaker 1: there's no cash flow. And so you look at twenty 426 00:23:06,760 --> 00:23:11,560 Speaker 1: twenty four being a transition year, twenty twenty five reflecting 427 00:23:12,880 --> 00:23:16,320 Speaker 1: earnings that the mind that is in production right now 428 00:23:16,760 --> 00:23:19,480 Speaker 1: early twenty twenty six were being told the mind that's 429 00:23:19,520 --> 00:23:24,440 Speaker 1: out of production due to this you know, historical flood 430 00:23:24,440 --> 00:23:29,119 Speaker 1: if you will coming back on online, and then in 431 00:23:29,200 --> 00:23:32,160 Speaker 1: twenty twenty seven you get a full year of operations 432 00:23:32,160 --> 00:23:34,359 Speaker 1: at both minds. So what I like to do is, 433 00:23:34,400 --> 00:23:36,920 Speaker 1: I think time is one of the few arbitrages left 434 00:23:36,960 --> 00:23:40,320 Speaker 1: in investing, and if you can have a longer time horizon, 435 00:23:41,000 --> 00:23:43,080 Speaker 1: you can sort of assess the company on a normalized 436 00:23:43,119 --> 00:23:45,840 Speaker 1: earnings basis. So I look at a company like that 437 00:23:45,840 --> 00:23:48,119 Speaker 1: that used to trade on seven times EBITDA on twenty 438 00:23:48,160 --> 00:23:51,199 Speaker 1: twenty one and now it's on you know, one point 439 00:23:51,240 --> 00:23:55,119 Speaker 1: eight times f YO two earnings, and that's not an 440 00:23:55,119 --> 00:23:58,000 Speaker 1: evy to EBITDA basis. So if it only went back 441 00:23:58,080 --> 00:24:00,520 Speaker 1: to half of the ebit donald well that it used 442 00:24:00,520 --> 00:24:03,120 Speaker 1: to trade on, you have over one hundred percent outside. 443 00:24:03,680 --> 00:24:07,720 Speaker 1: So those are kind of examples of trades where I 444 00:24:07,760 --> 00:24:10,920 Speaker 1: feel like I have a margin of safety, where I've 445 00:24:10,920 --> 00:24:14,760 Speaker 1: got a tailwind at my back with a structural earnings growth, 446 00:24:14,840 --> 00:24:18,800 Speaker 1: and I see green shoots in copper price markets. So 447 00:24:20,240 --> 00:24:23,120 Speaker 1: that's I think you have to get creative right now. 448 00:24:23,119 --> 00:24:24,640 Speaker 1: It's a tricky market. 449 00:24:24,960 --> 00:24:25,520 Speaker 2: I think we can. 450 00:24:26,200 --> 00:24:28,320 Speaker 1: I don't know what the next big trend is, so 451 00:24:28,640 --> 00:24:33,360 Speaker 1: I've got to be micro and find self help stories. 452 00:24:33,600 --> 00:24:35,679 Speaker 2: Okay, we'll leave it there, Barbara, It's always a pleasure. 453 00:24:35,680 --> 00:24:39,560 Speaker 2: Barbara and Bernard, founder CIO at Windcrest Capital, joining from 454 00:24:39,600 --> 00:24:44,480 Speaker 2: the Bahamas. This has been the Bloomberg Daybreak Asia podcast, 455 00:24:44,600 --> 00:24:47,320 Speaker 2: bringing you the stories making news and moving markets in 456 00:24:47,359 --> 00:24:51,240 Speaker 2: the Asia Pacific. Visit the Bloomberg Podcast channel on YouTube 457 00:24:51,280 --> 00:24:54,639 Speaker 2: to get more episodes of this and other shows from Bloomberg. 458 00:24:54,880 --> 00:24:58,840 Speaker 2: Subscribe to the podcast on Apple, Spotify or anywhere else 459 00:24:58,880 --> 00:25:02,040 Speaker 2: you listen, and always on Bloomberg Radio, the Bloomberg Terminal, 460 00:25:02,240 --> 00:25:03,600 Speaker 2: and the Bloomberg Business app. 461 00:25:09,280 --> 00:25:09,320 Speaker 3: M