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 00:00:15,560 --> 00:00:18,439 Speaker 1: called Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,080 Speaker 1: at Bloomberg dot com slash podcast. I want to switch 7 00:00:22,120 --> 00:00:25,880 Speaker 1: the conversation though, over to uh, fixed income kind of 8 00:00:26,040 --> 00:00:31,200 Speaker 1: currencies economists sort of thing. I'm sure pretty has chopping 9 00:00:31,200 --> 00:00:33,040 Speaker 1: at the bit to talk about the Bank of Japan, 10 00:00:33,080 --> 00:00:36,120 Speaker 1: because if anybody cares about the Bank of Japan, it 11 00:00:36,280 --> 00:00:39,960 Speaker 1: is pretty good. It's important, I know, very important. Huge. 12 00:00:40,159 --> 00:00:43,320 Speaker 1: Jennifer Lee Joins, a senior economist managing director over at 13 00:00:43,360 --> 00:00:47,479 Speaker 1: BEMO Capital Markets, and Jennifer, Um, you know, I I 14 00:00:47,920 --> 00:00:51,440 Speaker 1: sort of realized the importance this morning when Valerie Title 15 00:00:51,520 --> 00:00:54,480 Speaker 1: in London said, look, the b o J is the 16 00:00:54,560 --> 00:00:59,520 Speaker 1: only anchor among major central banks holding rates lower, like 17 00:00:59,560 --> 00:01:03,000 Speaker 1: they're the only ones with nerve or ZERP right now, 18 00:01:03,200 --> 00:01:07,040 Speaker 1: and uh, if they let that go, it's like off 19 00:01:07,040 --> 00:01:10,800 Speaker 1: to the races, do you agree? Um, they've already started 20 00:01:10,840 --> 00:01:13,319 Speaker 1: letting it go in some ways, but you know, just 21 00:01:13,560 --> 00:01:16,000 Speaker 1: a little bit. And and yes, in many ways it 22 00:01:16,040 --> 00:01:18,160 Speaker 1: is going to be off to the racist um. You know, 23 00:01:18,200 --> 00:01:19,720 Speaker 1: I remember a time when you know, it was like 24 00:01:19,720 --> 00:01:22,200 Speaker 1: snooze fest over at the Bigger Japan because they were 25 00:01:22,240 --> 00:01:24,800 Speaker 1: doing nothing forever. And finally, you know, back in December 26 00:01:24,840 --> 00:01:27,959 Speaker 1: they let the creating range around the tenure ye old 27 00:01:28,080 --> 00:01:30,440 Speaker 1: wide in a bit um. But now it looks like 28 00:01:30,520 --> 00:01:32,800 Speaker 1: with this new and I actually don't not very familiar 29 00:01:32,840 --> 00:01:36,839 Speaker 1: with this new potential incoming governor, but it sounds like he's, 30 00:01:36,880 --> 00:01:38,720 Speaker 1: you know, his comments this morning sounds like it's going 31 00:01:38,720 --> 00:01:41,200 Speaker 1: to be you know, business as usual at the Big 32 00:01:41,319 --> 00:01:44,039 Speaker 1: Japan when he takes over. So that's probably why we 33 00:01:44,080 --> 00:01:46,839 Speaker 1: saw some some some gift back, I guess in the ends, 34 00:01:47,080 --> 00:01:50,160 Speaker 1: in the end this morning. So so far it sounds 35 00:01:50,200 --> 00:01:52,080 Speaker 1: like that it might be again just you know, keep 36 00:01:52,160 --> 00:01:55,440 Speaker 1: going on with very easy monetary policy, so we don't 37 00:01:55,440 --> 00:01:58,480 Speaker 1: have to worry Jeff yet, Oh, Jen, talk to us 38 00:01:58,480 --> 00:02:02,840 Speaker 1: a little bit about the actionable differences in that policy. 39 00:02:02,960 --> 00:02:05,840 Speaker 1: What does going from dovish to hawkish actually look like 40 00:02:06,320 --> 00:02:09,240 Speaker 1: for the b o J that's kind of been stuck 41 00:02:09,360 --> 00:02:14,400 Speaker 1: for what ten twelve years minimum? Yes, for well, I've 42 00:02:14,400 --> 00:02:17,399 Speaker 1: been exaggerating to say, well forever um but being going 43 00:02:17,440 --> 00:02:20,520 Speaker 1: from you know, some super dubbish to slightly less subbish 44 00:02:20,560 --> 00:02:23,480 Speaker 1: again by letting that training range widen a little bit 45 00:02:23,720 --> 00:02:27,040 Speaker 1: last month, but you know, going I guess officially hawkish 46 00:02:27,080 --> 00:02:29,720 Speaker 1: would be actually raising their interest rates, which you know, 47 00:02:29,760 --> 00:02:32,720 Speaker 1: I think possibly might happen in April. I actually thought 48 00:02:32,720 --> 00:02:34,960 Speaker 1: was something that's gonna happen in a at the last meeting, 49 00:02:35,000 --> 00:02:37,160 Speaker 1: but you know, it may in March. It's it's still 50 00:02:37,200 --> 00:02:39,560 Speaker 1: you know, it's gonna be the end of their their 51 00:02:39,600 --> 00:02:41,679 Speaker 1: fiscal years, so there's always walking this's going on in 52 00:02:41,720 --> 00:02:43,079 Speaker 1: financial market. So I don't know what they want a 53 00:02:43,160 --> 00:02:45,440 Speaker 1: chance doing anything, But of course if the governor or 54 00:02:45,480 --> 00:02:47,079 Speaker 1: Corona wants to go off with a bang, and that's 55 00:02:47,120 --> 00:02:48,919 Speaker 1: the way to do it. So I think April is 56 00:02:48,919 --> 00:02:51,480 Speaker 1: probably a more likely time to start tweaking it. But 57 00:02:51,480 --> 00:02:54,280 Speaker 1: I guess if they don't make any actual like giving 58 00:02:54,320 --> 00:02:57,760 Speaker 1: any changes in their actions, just changing the conversation or 59 00:02:58,040 --> 00:03:00,680 Speaker 1: making their tone of their discussions a bit more hawkish 60 00:03:00,720 --> 00:03:02,320 Speaker 1: will also do the job a little bit as well. 61 00:03:03,520 --> 00:03:06,880 Speaker 1: Fascinating stuff, yeah, sure, But to me the question is 62 00:03:06,919 --> 00:03:08,720 Speaker 1: still for the b O J are we still viewing 63 00:03:08,720 --> 00:03:11,680 Speaker 1: this as kind of its own I mean, as Matt said, like, 64 00:03:11,880 --> 00:03:13,880 Speaker 1: is this kind of its own thing that doesn't necessarily 65 00:03:13,919 --> 00:03:16,399 Speaker 1: apply to the rest of the world At a time 66 00:03:16,400 --> 00:03:19,040 Speaker 1: when the ECB and the BOW remains uber hawkish and 67 00:03:19,120 --> 00:03:21,600 Speaker 1: arguably the FED as well, does the B O J 68 00:03:21,840 --> 00:03:25,720 Speaker 1: matter when the bigger central banks have kind of decided 69 00:03:25,760 --> 00:03:28,120 Speaker 1: the path that, especially for investors who are focused on 70 00:03:28,160 --> 00:03:30,480 Speaker 1: the US, or for investors who are focused on Canada, 71 00:03:30,560 --> 00:03:33,200 Speaker 1: or even investors focused on does it really matter that much? 72 00:03:33,840 --> 00:03:35,680 Speaker 1: I still you know, I I have a bove leaned 73 00:03:35,680 --> 00:03:37,600 Speaker 1: toward yes, and it still matters because it's still heard 74 00:03:37,600 --> 00:03:39,080 Speaker 1: of the G seven, it's still part of the G tenth, 75 00:03:39,160 --> 00:03:41,800 Speaker 1: So it does have a bearing, even though again you know, 76 00:03:41,840 --> 00:03:44,040 Speaker 1: as we all know, they've they've been doing nothing and 77 00:03:44,080 --> 00:03:47,640 Speaker 1: while everyone was has been uh husband has been tightening. 78 00:03:47,640 --> 00:03:49,560 Speaker 1: And now it looks like it's it's kind of interesting case. 79 00:03:49,560 --> 00:03:51,760 Speaker 1: Now we've got the FED potentially coming to the end 80 00:03:51,760 --> 00:03:54,360 Speaker 1: of the eating eating cycle to my boys to men 81 00:03:54,440 --> 00:03:56,520 Speaker 1: there um, and the end of course, you know, make 82 00:03:56,560 --> 00:03:58,000 Speaker 1: a candle, looks like they are going to be on 83 00:03:58,080 --> 00:04:00,720 Speaker 1: hold for for some time um. And then of course 84 00:04:00,720 --> 00:04:02,200 Speaker 1: the e c B is going the other direction, and 85 00:04:02,280 --> 00:04:04,520 Speaker 1: the big of England is sort of you know, still tightening. 86 00:04:05,040 --> 00:04:07,600 Speaker 1: So you know, the Big Japan is almost going to 87 00:04:07,640 --> 00:04:09,320 Speaker 1: go in to wake or break this uh this this 88 00:04:09,440 --> 00:04:12,680 Speaker 1: this tipe breaker in many ways. But again still it's 89 00:04:12,680 --> 00:04:15,080 Speaker 1: just it broadens the overall picture of you know the 90 00:04:15,080 --> 00:04:18,039 Speaker 1: fact that central banks are still in some sort of 91 00:04:18,040 --> 00:04:20,280 Speaker 1: a tightening mode, even the Big Japan, and not as 92 00:04:20,279 --> 00:04:22,760 Speaker 1: tight as it once was, but still you know, inching 93 00:04:22,760 --> 00:04:24,880 Speaker 1: a little bit more towards that towards that line. By 94 00:04:24,880 --> 00:04:28,320 Speaker 1: the way, um Ed Harrison from Bloomberg in Washington, d C. 95 00:04:28,560 --> 00:04:32,000 Speaker 1: Writes that some trader on Tuesday build up an eighteen 96 00:04:32,040 --> 00:04:35,920 Speaker 1: million dollar position on six percent FED funds rate by September. 97 00:04:36,640 --> 00:04:39,760 Speaker 1: Um it's obviously a big or a deeply out of 98 00:04:39,760 --> 00:04:44,800 Speaker 1: the money, uh position, But people are guarding against that possibility. 99 00:04:45,120 --> 00:04:46,960 Speaker 1: What are the chances that we get up over five 100 00:04:46,960 --> 00:04:49,920 Speaker 1: and a quarter over five and a half per Oh wow? 101 00:04:50,000 --> 00:04:51,800 Speaker 1: So you know, I'm gonna be very humble and say, 102 00:04:51,839 --> 00:04:53,400 Speaker 1: you know, we we've you know, over the past couple 103 00:04:53,400 --> 00:04:55,400 Speaker 1: of years, we've been nudging our fed pigs right higher, 104 00:04:55,440 --> 00:04:57,599 Speaker 1: and uh, you know, now we're looking for the final 105 00:04:57,640 --> 00:05:00,720 Speaker 1: move to be in May I mean, obviously anything as possible. 106 00:05:00,800 --> 00:05:03,080 Speaker 1: But at this point, and we've already seen the peak 107 00:05:03,120 --> 00:05:05,440 Speaker 1: in inflation, we're starting to see it coming down. Maybe 108 00:05:05,440 --> 00:05:08,160 Speaker 1: not as as as steadily and as as much as 109 00:05:08,440 --> 00:05:10,200 Speaker 1: the SET is still wanting to but you know, we've 110 00:05:10,200 --> 00:05:12,080 Speaker 1: already moved down to the twenty five dayses point r 111 00:05:12,279 --> 00:05:15,440 Speaker 1: right moves. It would have to do be something pretty dramatic, 112 00:05:15,920 --> 00:05:22,000 Speaker 1: um pre substantial, well you know what I mean, possibly, 113 00:05:22,040 --> 00:05:23,440 Speaker 1: if you can gonna do see that, yes, but I 114 00:05:23,720 --> 00:05:25,080 Speaker 1: I don't think that's going to be the case. I 115 00:05:25,120 --> 00:05:26,400 Speaker 1: think that might be a bit of an l a liar. 116 00:05:26,520 --> 00:05:28,960 Speaker 1: On Tuesday, as pretty points out, c p I is 117 00:05:29,000 --> 00:05:34,920 Speaker 1: coming in, we're expecting six what have it's seven? Oh again, 118 00:05:34,920 --> 00:05:36,440 Speaker 1: it's gonna you know, it's gonna take more than a month. 119 00:05:36,880 --> 00:05:38,240 Speaker 1: It's gonna have to take more. And then plus we've 120 00:05:38,240 --> 00:05:39,840 Speaker 1: got these new seasonals, right, so I think it's gonna 121 00:05:39,839 --> 00:05:41,599 Speaker 1: take more of them up. Just like when we saw 122 00:05:41,800 --> 00:05:45,080 Speaker 1: inflation decline in UH over the summer, and everyone jumped 123 00:05:45,120 --> 00:05:47,600 Speaker 1: on the fact that the potential for the set to 124 00:05:47,640 --> 00:05:49,760 Speaker 1: start turning. You know, they said they needed more than 125 00:05:49,800 --> 00:05:51,680 Speaker 1: one month, and you know, now they've had more than 126 00:05:51,720 --> 00:05:53,080 Speaker 1: the month just like if you go to the other direction, 127 00:05:53,080 --> 00:05:55,040 Speaker 1: if you see a big jump in CPI, you're gonna 128 00:05:55,040 --> 00:05:57,080 Speaker 1: need more than just one month of a big jump 129 00:05:57,080 --> 00:06:00,320 Speaker 1: in CPI for the set to change its tune. All right, Ennifer, 130 00:06:00,320 --> 00:06:03,359 Speaker 1: thanks so much for joining us. Pleasure as always talked 131 00:06:03,360 --> 00:06:06,680 Speaker 1: to you. Grateful for your insight. Jennifer Lee Uh there 132 00:06:06,680 --> 00:06:09,960 Speaker 1: over from BEMO, where she is a senior economist and 133 00:06:10,279 --> 00:06:18,560 Speaker 1: Managing Director BMO Capital Markets, Bank of Montreal. I am 134 00:06:18,800 --> 00:06:21,880 Speaker 1: psyched to get over to Anika Gupta right now. She 135 00:06:22,040 --> 00:06:26,320 Speaker 1: covers equities and commodities as director of Macroeconomic Research for 136 00:06:26,360 --> 00:06:30,160 Speaker 1: Wisdom Tree and Uh On a day when Anika, we 137 00:06:30,279 --> 00:06:33,640 Speaker 1: got a couple of I think pretty interesting calls. Um. 138 00:06:33,680 --> 00:06:36,280 Speaker 1: Michael Hartnett over at ba A says, as soon as 139 00:06:36,279 --> 00:06:40,840 Speaker 1: the SMP gets forty five, says Cell Cell, Cell, don't 140 00:06:40,839 --> 00:06:44,520 Speaker 1: believe this rally. Meanwhile, Deutsche Bank says the SMP is 141 00:06:44,520 --> 00:06:46,560 Speaker 1: gonna go to forty five by the end of the 142 00:06:46,640 --> 00:06:48,520 Speaker 1: year if there was a recession, and if there's a 143 00:06:48,560 --> 00:06:54,240 Speaker 1: soft landing, we're looking at five thousand. What do you think, well, Um, 144 00:06:54,560 --> 00:06:57,640 Speaker 1: I agree with the former, Matt. You know we've been 145 00:06:57,680 --> 00:07:02,039 Speaker 1: plotting the SMP versus the FED balance sheet. Take away 146 00:07:02,080 --> 00:07:05,400 Speaker 1: the the the tightening that we've seen on the balance 147 00:07:05,400 --> 00:07:08,880 Speaker 1: sheet and repurchase agreements, and it it is a clear 148 00:07:09,000 --> 00:07:10,960 Speaker 1: cell signal at this point in time, and I think 149 00:07:10,960 --> 00:07:13,880 Speaker 1: that's what's being reflected by the market. Um. You know, 150 00:07:13,920 --> 00:07:18,160 Speaker 1: we've had this um speculative frenzy in the first first 151 00:07:18,240 --> 00:07:22,000 Speaker 1: month of this year, and you know, we kept warning 152 00:07:22,040 --> 00:07:25,520 Speaker 1: our clients that look, come that pivotal week where we 153 00:07:25,560 --> 00:07:27,880 Speaker 1: have these central bank meetings, you are going to see 154 00:07:27,880 --> 00:07:32,800 Speaker 1: that you know, that that renewed concern actually being echoed 155 00:07:32,800 --> 00:07:36,360 Speaker 1: in the markets. And we've we've rightly seen that happened. UM. 156 00:07:36,400 --> 00:07:40,360 Speaker 1: I think what what remains for us as a key 157 00:07:40,400 --> 00:07:43,480 Speaker 1: focus is that, you know, the employment data still remains 158 00:07:43,560 --> 00:07:46,800 Speaker 1: very strong. And as long as that is the case, UM, 159 00:07:46,840 --> 00:07:49,400 Speaker 1: you know, the US is the U S economy is 160 00:07:49,480 --> 00:07:53,640 Speaker 1: essentially trying to trying to show us that you know, 161 00:07:53,680 --> 00:07:57,240 Speaker 1: it's it is pointing to economic resilience and if that is, 162 00:07:57,640 --> 00:07:59,720 Speaker 1: if that is going to continue, then the Fed will 163 00:08:00,040 --> 00:08:05,400 Speaker 1: need to continue keeping rates in restricted territory. So UM, 164 00:08:05,440 --> 00:08:07,840 Speaker 1: I think that's what's a key on our minds at 165 00:08:07,840 --> 00:08:11,600 Speaker 1: this point in time. And obviously retail sales is going 166 00:08:11,600 --> 00:08:15,000 Speaker 1: to be the big swing factor because you know, we 167 00:08:15,080 --> 00:08:17,880 Speaker 1: are seeing one of your source of strength coming in 168 00:08:17,960 --> 00:08:20,400 Speaker 1: from autos. We've you know, where we can see vehicles 169 00:08:20,480 --> 00:08:26,160 Speaker 1: sales have rebounded um versus the December figure, so you 170 00:08:26,160 --> 00:08:28,160 Speaker 1: know that. I think that's going to be really interesting 171 00:08:28,760 --> 00:08:31,040 Speaker 1: to watch out for. Hey, Matt, I'm looking at her 172 00:08:31,040 --> 00:08:33,840 Speaker 1: bio here. She got a bachelor's in math from St. 173 00:08:33,840 --> 00:08:37,360 Speaker 1: Stephen College in New Delhi. And I think my dad 174 00:08:37,400 --> 00:08:40,960 Speaker 1: went to school as well. Oh, that's amazing that we 175 00:08:41,000 --> 00:08:43,720 Speaker 1: have the same last name, we have the same sort 176 00:08:43,760 --> 00:08:47,360 Speaker 1: of connection to this college. So unlikely that you're related. 177 00:08:47,559 --> 00:08:50,000 Speaker 1: I don't think we're related. But and then she got 178 00:08:50,200 --> 00:08:55,000 Speaker 1: she got the masters in mathematics or maths as they say, 179 00:08:55,080 --> 00:09:01,560 Speaker 1: from a small known college in England called Oxford. All right, 180 00:09:01,600 --> 00:09:04,600 Speaker 1: so it's clearly she knows her stuff. Let's talk about 181 00:09:04,760 --> 00:09:07,320 Speaker 1: the pricing of it all, because I really, I mean, look, 182 00:09:07,559 --> 00:09:09,760 Speaker 1: you got your bachelor's and masters and math, so explain 183 00:09:09,800 --> 00:09:12,280 Speaker 1: the math here when it comes to what we're looking 184 00:09:12,280 --> 00:09:15,760 Speaker 1: at for the commodity market, you're looking at rent crewed 185 00:09:15,800 --> 00:09:20,040 Speaker 1: an eighty five handle at the moment. But I'm concerned 186 00:09:20,040 --> 00:09:23,400 Speaker 1: about how you quantify this Chinese reopening, which seems to 187 00:09:23,480 --> 00:09:29,480 Speaker 1: be the real tailwind for commodities right now. You're absolutely right. 188 00:09:29,520 --> 00:09:31,959 Speaker 1: I think the way we were looking at commodities, we 189 00:09:32,040 --> 00:09:37,200 Speaker 1: try to split up the commodities within their four subsectors. 190 00:09:37,240 --> 00:09:40,920 Speaker 1: And I think from the Chinese reopening theme coming up, 191 00:09:41,040 --> 00:09:44,400 Speaker 1: you know, taking into effect, we believe energy stands to 192 00:09:44,440 --> 00:09:48,079 Speaker 1: benefit more than the industrial metal space. And the reason 193 00:09:48,120 --> 00:09:50,880 Speaker 1: for that is UM. You know, there's a clear distinction 194 00:09:50,920 --> 00:09:54,599 Speaker 1: that China is is UH like as a message that 195 00:09:54,600 --> 00:09:57,240 Speaker 1: they're sending out in terms of how they plan to 196 00:09:57,280 --> 00:10:00,880 Speaker 1: prop up the property sector. It isn't a full scale 197 00:10:01,520 --> 00:10:05,720 Speaker 1: UH initiative to just prop up the entire property sector. 198 00:10:05,760 --> 00:10:09,600 Speaker 1: They are distinguishing between UH you know, developers that that 199 00:10:09,679 --> 00:10:14,560 Speaker 1: have a better buffer buffer of UH and a better 200 00:10:14,600 --> 00:10:17,640 Speaker 1: quality of assets compared to the other, so that they're 201 00:10:17,640 --> 00:10:20,520 Speaker 1: clearly distinguishing one from the other. So I think we're 202 00:10:20,520 --> 00:10:24,560 Speaker 1: going to have a moderate rebound in the property sector. 203 00:10:25,040 --> 00:10:27,160 Speaker 1: I think they're trying. What China is also trying to do, 204 00:10:27,240 --> 00:10:30,480 Speaker 1: is they're trying to boost their energy sector as well, 205 00:10:30,640 --> 00:10:32,880 Speaker 1: because they want they want they don't want to find 206 00:10:32,920 --> 00:10:36,440 Speaker 1: themselves as vulnerable as you have found themselves in two 207 00:10:36,880 --> 00:10:38,800 Speaker 1: so I think these two sectors are going to get 208 00:10:39,280 --> 00:10:42,560 Speaker 1: uh you know, are going to be helped and aided 209 00:10:42,600 --> 00:10:45,280 Speaker 1: by the Chinese government or into which we we do 210 00:10:45,360 --> 00:10:49,160 Speaker 1: believe that UM energy stands to benefit as a subsector 211 00:10:49,200 --> 00:10:53,000 Speaker 1: within commodities a lot more than the industrial metal space. 212 00:10:53,520 --> 00:10:55,800 Speaker 1: Where we believe industrial metals are really going to get 213 00:10:55,800 --> 00:10:58,760 Speaker 1: their boost from is from uh you know, the energy 214 00:10:58,760 --> 00:11:01,720 Speaker 1: transition that is in full swing at this Garrent junc show. 215 00:11:02,440 --> 00:11:05,200 Speaker 1: By the way, UM I was talking earlier about this 216 00:11:05,280 --> 00:11:11,040 Speaker 1: commodity story that Bloomberg put out overnight, a trader traffic EURL, 217 00:11:11,520 --> 00:11:15,320 Speaker 1: a British trading group, has discovered that more than five 218 00:11:15,400 --> 00:11:18,440 Speaker 1: hundred million dollars worth of uh nicol it's paid for, 219 00:11:18,440 --> 00:11:22,400 Speaker 1: actually five seventy seven million dollars is fake as a 220 00:11:22,440 --> 00:11:25,880 Speaker 1: result of well it alleges as a result of a 221 00:11:25,920 --> 00:11:28,600 Speaker 1: fraud from an Indian company. This coming right after a 222 00:11:28,679 --> 00:11:33,040 Speaker 1: Donni UM, what do you think about this rapid turn 223 00:11:33,320 --> 00:11:37,400 Speaker 1: in UM the fortunes of you know, the Indian reputation, 224 00:11:37,480 --> 00:11:41,679 Speaker 1: because before the Hindenburg report, like every every week we 225 00:11:41,679 --> 00:11:44,160 Speaker 1: were saying news stories about how India was the new 226 00:11:44,200 --> 00:11:46,840 Speaker 1: place to invest and it was gonna overtake China and 227 00:11:47,520 --> 00:11:50,240 Speaker 1: population growth and it has a much better demographic. And 228 00:11:50,280 --> 00:11:53,400 Speaker 1: it was even Matt Winkler, our editor in chief emeritus, wrote, 229 00:11:53,600 --> 00:11:55,720 Speaker 1: you know, a love letter to India. So what are 230 00:11:55,720 --> 00:11:59,640 Speaker 1: we to make of this rapid turn of events. Well, 231 00:11:59,679 --> 00:12:02,200 Speaker 1: I think it is a sign of caution for the 232 00:12:02,240 --> 00:12:05,320 Speaker 1: Indian economy because clearly, you know, they were the most 233 00:12:05,320 --> 00:12:09,840 Speaker 1: resilient economy in two and surprised you know, the vast 234 00:12:09,840 --> 00:12:13,160 Speaker 1: majority of investors. But I think what we do need 235 00:12:13,200 --> 00:12:15,600 Speaker 1: to keep in mind is they've been through so many 236 00:12:15,640 --> 00:12:18,480 Speaker 1: headwinds over the past few years. You know, be at 237 00:12:18,480 --> 00:12:22,200 Speaker 1: the COVID pandemic um that that's carred the economy quite 238 00:12:22,200 --> 00:12:27,000 Speaker 1: a lot. We've also had the denomination um, you know, 239 00:12:27,040 --> 00:12:30,080 Speaker 1: the change and the currency that that caused quite a 240 00:12:30,080 --> 00:12:34,520 Speaker 1: bit of an overhaul within the economy. UM. And I 241 00:12:34,520 --> 00:12:37,080 Speaker 1: think what we do need to keep in mind is 242 00:12:37,800 --> 00:12:41,679 Speaker 1: those very tailors that you did mention they do still exist. 243 00:12:42,240 --> 00:12:46,560 Speaker 1: But clearly what Hindburg is trying to site, is trying 244 00:12:46,559 --> 00:12:50,160 Speaker 1: to bring out is you know there is there is clearly, um, 245 00:12:50,920 --> 00:12:53,080 Speaker 1: you know, something going on within the Adani group that 246 00:12:53,160 --> 00:12:56,440 Speaker 1: investors should be aware of. UM. But I don't think 247 00:12:56,559 --> 00:13:00,640 Speaker 1: it will be real India's growth story. But because I 248 00:13:00,679 --> 00:13:04,679 Speaker 1: think obviously with China being locked down, that was a 249 00:13:04,800 --> 00:13:07,640 Speaker 1: very important tailwind for India that they that they actually 250 00:13:07,720 --> 00:13:11,080 Speaker 1: benefited from, you know, be it Apple moving its supply chain, 251 00:13:11,720 --> 00:13:14,640 Speaker 1: um uh you know, the I G sector benefiting a 252 00:13:14,679 --> 00:13:18,040 Speaker 1: lot more from uh, from from from the US, which 253 00:13:18,360 --> 00:13:21,079 Speaker 1: which did quite well. So I think those have been 254 00:13:21,120 --> 00:13:23,840 Speaker 1: important tail winds for the Indian economy. And obviously they 255 00:13:23,880 --> 00:13:26,319 Speaker 1: have one of the most favorable demographics in the world, 256 00:13:26,360 --> 00:13:28,280 Speaker 1: and this comes a bit time when you know, you 257 00:13:28,400 --> 00:13:33,120 Speaker 1: have aging demographics globally, can't fight demographics. Can if they've 258 00:13:33,160 --> 00:13:36,080 Speaker 1: got if they've got this huge new generation is bigger 259 00:13:36,120 --> 00:13:40,559 Speaker 1: than the old generation, that's just got to turn out well, absolutely, 260 00:13:40,600 --> 00:13:43,800 Speaker 1: and they have this strong consumption uh you know, that 261 00:13:43,960 --> 00:13:47,360 Speaker 1: is helping drive demand and I think that's really important. 262 00:13:47,360 --> 00:13:49,840 Speaker 1: And even if you just reflect on the recent budget 263 00:13:49,840 --> 00:13:52,560 Speaker 1: that is being launched, I think that was another tailwind 264 00:13:52,600 --> 00:13:55,600 Speaker 1: where you know, the government is trying to be a 265 00:13:55,640 --> 00:13:59,040 Speaker 1: bit more disciplined in terms of keeping uh you know, 266 00:13:59,080 --> 00:14:01,680 Speaker 1: the deficit of the entage to the GDP in line. 267 00:14:02,040 --> 00:14:05,080 Speaker 1: They're also benefiting from much higher tax collection, so that's 268 00:14:05,080 --> 00:14:08,520 Speaker 1: really benefiting uh, you know, government capex. So I think 269 00:14:08,559 --> 00:14:11,240 Speaker 1: from that point of view, you know, those state table 270 00:14:11,240 --> 00:14:14,480 Speaker 1: wins are still going to aid the economy. But I 271 00:14:14,480 --> 00:14:17,520 Speaker 1: think from a sentiment perspective, we are going to see 272 00:14:17,520 --> 00:14:20,440 Speaker 1: a bit of a blip, you know, towards Indian equities 273 00:14:20,520 --> 00:14:24,280 Speaker 1: until we see that does settle. We'll see if that happens, Anika. 274 00:14:24,520 --> 00:14:27,000 Speaker 1: We have to kind of harp on the Indians on 275 00:14:27,040 --> 00:14:31,359 Speaker 1: the show right now. I recently educated Matt Miller on Bollywood, 276 00:14:32,000 --> 00:14:36,280 Speaker 1: a very brief education, and I showed him the wedding 277 00:14:36,280 --> 00:14:41,240 Speaker 1: photos uh Kr Advani and said, Molota, have you seen him? 278 00:14:41,280 --> 00:14:44,840 Speaker 1: I did? I did that? They have. They put out 279 00:14:44,840 --> 00:14:47,040 Speaker 1: a video overnight as well, which I'll show you in 280 00:14:47,040 --> 00:14:52,360 Speaker 1: the break. It is stunning. What did you make of Ana? Well? 281 00:14:52,480 --> 00:14:55,080 Speaker 1: I I just barely glanced on the picture. I think 282 00:14:55,080 --> 00:14:58,000 Speaker 1: the couple looked lovely. Um. Indian weddings are known to 283 00:14:58,000 --> 00:15:03,640 Speaker 1: be extravagant, long affairs that the West are not very 284 00:15:04,000 --> 00:15:07,520 Speaker 1: used to. Um So I think, yeah, I wouldn't. I 285 00:15:07,560 --> 00:15:09,840 Speaker 1: wouldn't spend too much of my time on it. But 286 00:15:09,960 --> 00:15:13,160 Speaker 1: you know that's another sign of how what how do 287 00:15:15,320 --> 00:15:17,480 Speaker 1: you have to in some senses right, I mean the 288 00:15:17,640 --> 00:15:21,320 Speaker 1: gold purchasing power there and the will to buy gold 289 00:15:21,480 --> 00:15:26,600 Speaker 1: actually drives markets. It does, it definitely does. Um. Yeah, 290 00:15:26,640 --> 00:15:30,000 Speaker 1: and it's it's obviously, you know, Indians identified with a 291 00:15:30,080 --> 00:15:34,240 Speaker 1: source of like obviously being a physical asset, a big 292 00:15:34,280 --> 00:15:38,040 Speaker 1: sign of wealth, and you know it has been increasing 293 00:15:38,080 --> 00:15:41,320 Speaker 1: over the past year. It really has. Also, for what 294 00:15:41,400 --> 00:15:44,120 Speaker 1: it's worth, Matt has been saying for like a year 295 00:15:44,160 --> 00:15:46,440 Speaker 1: now that he's going to affreciate my wedding one day, 296 00:15:46,960 --> 00:15:49,320 Speaker 1: which she has some experience an incredible efficient. I've done 297 00:15:49,320 --> 00:15:51,720 Speaker 1: it a few times. Yeah, so, but I'm not sure 298 00:15:51,960 --> 00:15:54,400 Speaker 1: if I could. The Indian weddings tend to last longer 299 00:15:54,400 --> 00:15:57,320 Speaker 1: than I think I could. Party, right, it's exactly to 300 00:15:57,600 --> 00:16:00,400 Speaker 1: be too much for you. I can help. I'll do 301 00:16:00,440 --> 00:16:01,960 Speaker 1: one or two days of it, you know, and then 302 00:16:01,960 --> 00:16:04,640 Speaker 1: the elephants will carry me out. Get it together. You 303 00:16:04,920 --> 00:16:06,560 Speaker 1: gotta you gotta push through it. I just want to 304 00:16:06,600 --> 00:16:10,080 Speaker 1: get Hannah, the Hannah painted on me that too. That's 305 00:16:10,080 --> 00:16:12,800 Speaker 1: gonna last piece. A week, that's gonna last you. I'm 306 00:16:12,840 --> 00:16:15,280 Speaker 1: ready for a week. He's ready for like I could 307 00:16:15,400 --> 00:16:17,240 Speaker 1: use I could use a week actually, And Nica thanks 308 00:16:17,280 --> 00:16:22,240 Speaker 1: so much for joining us there. She's director of macroeconomic research. 309 00:16:22,480 --> 00:16:28,080 Speaker 1: Equities and commodities over wisdom treat a little bit of 310 00:16:28,120 --> 00:16:30,680 Speaker 1: a turnaround here if John says the Dow Jones Industrial 311 00:16:30,720 --> 00:16:33,920 Speaker 1: Average rising as the SMP is unchanged, so maybe we 312 00:16:33,920 --> 00:16:36,000 Speaker 1: will get a little bit of a rally into the 313 00:16:36,080 --> 00:16:38,520 Speaker 1: end of the day today. Still, it's gonna take a 314 00:16:38,520 --> 00:16:40,720 Speaker 1: lot to bring the nastact back. Yeah, it really is. 315 00:16:40,720 --> 00:16:42,800 Speaker 1: You're seeing the down about five tons of one percent 316 00:16:43,160 --> 00:16:46,320 Speaker 1: yield higher. I wonder if there's a relationship. It doesn't 317 00:16:46,320 --> 00:16:50,320 Speaker 1: really look like there is, but um yeah, tech underperforming today, 318 00:16:50,400 --> 00:16:53,760 Speaker 1: all right. One of the important pieces of news we got, 319 00:16:53,800 --> 00:16:57,360 Speaker 1: I think for the market this morning was on China's 320 00:16:57,400 --> 00:17:01,320 Speaker 1: consumer inflation accelerating last month as the company reopened and 321 00:17:01,720 --> 00:17:05,480 Speaker 1: the lunar New Year holiday spur demand. But the games 322 00:17:05,520 --> 00:17:08,520 Speaker 1: were pretty small. In fact, the c p I, the 323 00:17:08,600 --> 00:17:12,119 Speaker 1: Chinese Consumer Price Index, was up two point one percent, 324 00:17:12,200 --> 00:17:15,960 Speaker 1: which you know, for for China is not a huge jump, 325 00:17:15,960 --> 00:17:19,280 Speaker 1: and the p p I actually um drops zero point 326 00:17:19,280 --> 00:17:22,040 Speaker 1: eight percent. Let's bring in a China expert right now 327 00:17:22,040 --> 00:17:24,639 Speaker 1: to help us figure out what's going on with this 328 00:17:24,680 --> 00:17:27,400 Speaker 1: reopening and what kind of effect it's really gonna have. 329 00:17:27,800 --> 00:17:31,359 Speaker 1: Hans Doubt joins us. He is the CEO of the 330 00:17:31,400 --> 00:17:35,879 Speaker 1: Madison Mitchell Group and uh sorry, Mitchell Madison Group, and 331 00:17:36,160 --> 00:17:40,479 Speaker 1: he joins us from Jackson, Wyoming. It's a place I 332 00:17:40,480 --> 00:17:43,000 Speaker 1: always love to be, Hans. I'm always so jealous when 333 00:17:43,040 --> 00:17:46,800 Speaker 1: I say that, but um, thank thanks for joining us. 334 00:17:46,840 --> 00:17:49,520 Speaker 1: Give us your take on the Chinese situation. We're starting 335 00:17:49,560 --> 00:17:51,560 Speaker 1: to get more and more data points coming out to 336 00:17:51,640 --> 00:17:54,359 Speaker 1: help well, hopefully to help answer the question is the 337 00:17:54,400 --> 00:17:57,600 Speaker 1: reopening gonna be good for you know, an engine of 338 00:17:57,600 --> 00:17:59,920 Speaker 1: global growth. But I'm not sure if we're really getting 339 00:17:59,920 --> 00:18:04,000 Speaker 1: the answer yet. Yeah, it's it's always a hard picture there, right, 340 00:18:04,040 --> 00:18:06,040 Speaker 1: because you can't always trust the data. But I think 341 00:18:06,040 --> 00:18:08,720 Speaker 1: overall it's a positive story. Right. We talked a lot 342 00:18:08,720 --> 00:18:12,320 Speaker 1: about China, uh and and it's always been really concerning 343 00:18:12,480 --> 00:18:16,879 Speaker 1: supply chain, and nobody, you know, everybody expected that this 344 00:18:17,200 --> 00:18:21,200 Speaker 1: this COVID spreading COVID you know, so quickly in China, 345 00:18:21,320 --> 00:18:23,800 Speaker 1: especially around the lunar New Year, would would be a 346 00:18:23,800 --> 00:18:26,560 Speaker 1: major catastrophe. And it wasn't right, it really wasn't. It 347 00:18:26,840 --> 00:18:29,440 Speaker 1: just simply inspected the whole country and then now they're 348 00:18:29,480 --> 00:18:31,800 Speaker 1: going back to work. And if you you want to 349 00:18:31,800 --> 00:18:33,679 Speaker 1: think about it, this way if they really kind of 350 00:18:33,880 --> 00:18:36,040 Speaker 1: you know, flattened the curve on the back of the 351 00:18:36,040 --> 00:18:38,120 Speaker 1: whole world, right, which is sort of what they did, 352 00:18:38,520 --> 00:18:40,639 Speaker 1: and you have to admit that it was a success. Right. 353 00:18:40,680 --> 00:18:43,440 Speaker 1: So I think China is going back to work. China 354 00:18:43,520 --> 00:18:47,280 Speaker 1: capacity in dost the capacity is going up just as 355 00:18:47,440 --> 00:18:50,040 Speaker 1: the Western demand is going down a bit. And you're right, 356 00:18:50,160 --> 00:18:52,479 Speaker 1: you see this in the pp I a little bit already, 357 00:18:52,480 --> 00:18:54,960 Speaker 1: and I think it's going to be a very positive 358 00:18:54,960 --> 00:18:59,359 Speaker 1: effect on inflation, at least as far as treatable goods 359 00:18:59,359 --> 00:19:02,080 Speaker 1: DOT concerned. Right, that's that's you will see this everywhere, 360 00:19:02,080 --> 00:19:05,560 Speaker 1: and I think that's overall a good thing. Um. On 361 00:19:05,600 --> 00:19:08,320 Speaker 1: the other side, you have the political implications, right, So 362 00:19:08,359 --> 00:19:10,520 Speaker 1: I was you know, you have the Chinese balloon, You 363 00:19:10,600 --> 00:19:13,399 Speaker 1: got Biden giving his speech. There's a lot of you know, 364 00:19:13,480 --> 00:19:18,159 Speaker 1: sort of negative sentiment towards China and the desire to continue, 365 00:19:18,400 --> 00:19:21,280 Speaker 1: you know, the great decoupling. And even worse than that, 366 00:19:21,640 --> 00:19:24,000 Speaker 1: you had Biden saying nobody would want to be she 367 00:19:24,240 --> 00:19:26,800 Speaker 1: right now he's facing a ton of problems. I thought 368 00:19:26,800 --> 00:19:31,560 Speaker 1: it was almost insulting, um, And it seems like the 369 00:19:31,640 --> 00:19:35,240 Speaker 1: Chinese took it that way as well. Yeah, but this 370 00:19:35,359 --> 00:19:37,520 Speaker 1: is all nice and fine. But at the same time, 371 00:19:37,560 --> 00:19:39,720 Speaker 1: we had a record trade between the US and China 372 00:19:39,800 --> 00:19:42,520 Speaker 1: last year, right, So you guys had this really nice 373 00:19:42,560 --> 00:19:45,960 Speaker 1: headline a couple of days ago saying globalization finds a way. 374 00:19:46,000 --> 00:19:48,440 Speaker 1: And I think that's true, right, It's not so much 375 00:19:48,480 --> 00:19:51,479 Speaker 1: about you know, beating up China. Of course, you know, 376 00:19:51,520 --> 00:19:54,240 Speaker 1: the US has to do it on the critical goods obviously, 377 00:19:54,240 --> 00:19:56,280 Speaker 1: on military things and stuff like that. And I think 378 00:19:56,640 --> 00:20:00,680 Speaker 1: as we're disassembling the balloon, finding more you know, American 379 00:20:00,760 --> 00:20:03,400 Speaker 1: and Sony parts in there, it's going to be very interesting. 380 00:20:03,760 --> 00:20:06,320 Speaker 1: But I think the bottom line is that corporation simply 381 00:20:06,359 --> 00:20:10,520 Speaker 1: have to diversify globally. The globe is bigger than just China. 382 00:20:10,640 --> 00:20:14,639 Speaker 1: But can we agree that there's something we're not all 383 00:20:14,720 --> 00:20:16,960 Speaker 1: of us are not being told about the balloon. I mean, 384 00:20:17,000 --> 00:20:20,240 Speaker 1: it just does not add up if it's really some 385 00:20:20,359 --> 00:20:25,880 Speaker 1: big spy balloon. I cannot buy any of the million 386 00:20:25,960 --> 00:20:28,359 Speaker 1: different reasons I've been given for why they didn't shoot 387 00:20:28,359 --> 00:20:31,359 Speaker 1: it down right when it entered you know, US airspace 388 00:20:31,400 --> 00:20:34,320 Speaker 1: over Montana. I mean, you live out there. There are 389 00:20:34,359 --> 00:20:38,200 Speaker 1: not a lot of people around, so they wanted to 390 00:20:38,240 --> 00:20:42,040 Speaker 1: shoot it down yes, they should have. But so I 391 00:20:42,080 --> 00:20:44,200 Speaker 1: don't think that we're getting the full story on that. 392 00:20:44,280 --> 00:20:48,399 Speaker 1: I'm not saying there's some big conspiracies, deep state theory, 393 00:20:48,440 --> 00:20:51,399 Speaker 1: but something we're not being told. Maybe I don't know why, 394 00:20:51,440 --> 00:20:54,880 Speaker 1: but um, it just strikes me as an odd time 395 00:20:54,920 --> 00:20:58,840 Speaker 1: to be then insulting to the Chinese leader when we 396 00:20:58,880 --> 00:21:02,280 Speaker 1: had a US Air Force general saying, prepare for war. 397 00:21:02,440 --> 00:21:06,200 Speaker 1: It's gonna happen. By even if we are trading a lot, 398 00:21:06,240 --> 00:21:08,960 Speaker 1: we could get into a pretty serious military scuffle with 399 00:21:09,040 --> 00:21:15,159 Speaker 1: a big army. Absolutely, yeah, gotta be careful. Well, all right, 400 00:21:15,200 --> 00:21:17,680 Speaker 1: we'll walk us through. Then back to China. The COVID 401 00:21:17,720 --> 00:21:19,960 Speaker 1: story of it all. Do we just not factor it 402 00:21:20,000 --> 00:21:24,440 Speaker 1: in anymore? I think I think COVID is over. I think, 403 00:21:24,480 --> 00:21:26,640 Speaker 1: like I said, I think China's done really the right thing. 404 00:21:26,680 --> 00:21:30,040 Speaker 1: And when I was dealing with after effects of COVID globally, right, 405 00:21:30,480 --> 00:21:33,400 Speaker 1: I mean, if if you actually think kind of becoming 406 00:21:33,400 --> 00:21:37,760 Speaker 1: a little bit boring, right, if you maybe shifting you're 407 00:21:37,760 --> 00:21:39,920 Speaker 1: a little bit here. So another news piece of news 408 00:21:39,960 --> 00:21:42,280 Speaker 1: which I thought was really interesting last year, last last 409 00:21:42,320 --> 00:21:46,280 Speaker 1: week was around employment. Right, we had employment, unemployment rates 410 00:21:46,520 --> 00:21:49,720 Speaker 1: very low, and people got really skittish about this, right, 411 00:21:50,200 --> 00:21:53,520 Speaker 1: I think that is not really an area of concern 412 00:21:53,560 --> 00:21:55,520 Speaker 1: because I think what you really have seen is not 413 00:21:55,840 --> 00:22:00,800 Speaker 1: incremental demand from employers because they actually firing. You see 414 00:22:00,800 --> 00:22:05,000 Speaker 1: a reduction in in vacancies obviously, but what you're seeing 415 00:22:05,040 --> 00:22:08,719 Speaker 1: now is workers finally taking jobs because they're running out 416 00:22:08,720 --> 00:22:12,200 Speaker 1: of savings. They have rising consumer prices that more it 417 00:22:12,320 --> 00:22:14,480 Speaker 1: is smart and more expensive. So I think in this 418 00:22:14,760 --> 00:22:18,560 Speaker 1: really crazy post COVID environment, you're seeing a lot of 419 00:22:18,600 --> 00:22:21,280 Speaker 1: things that normally don't make sense, and I think this 420 00:22:21,359 --> 00:22:23,880 Speaker 1: is actually a sign of economic weakness. So I think 421 00:22:23,880 --> 00:22:26,879 Speaker 1: the global story is China will produce, the US and 422 00:22:26,880 --> 00:22:28,760 Speaker 1: the West will slow down, and things are going to 423 00:22:28,880 --> 00:22:31,960 Speaker 1: go to normal. I think the issues how quickly and 424 00:22:32,000 --> 00:22:36,760 Speaker 1: with what rates? So so what effects do you expect 425 00:22:36,880 --> 00:22:40,240 Speaker 1: all that to have on asset prices? I mean, especially 426 00:22:40,280 --> 00:22:43,199 Speaker 1: like commodities, right, because it's one of the first places 427 00:22:43,240 --> 00:22:47,920 Speaker 1: we look when we heard China was reopening. Yeah, I think, 428 00:22:47,960 --> 00:22:50,840 Speaker 1: look China, China obviously is a net exporter, right, so 429 00:22:50,880 --> 00:22:55,240 Speaker 1: of course you're going to have some impact on commodity prices. 430 00:22:55,440 --> 00:22:57,840 Speaker 1: Uh in the short term might be it might be 431 00:22:57,880 --> 00:23:00,520 Speaker 1: you know, going up, But I and you have to 432 00:23:00,520 --> 00:23:05,080 Speaker 1: remember the end product demand will be down and this 433 00:23:05,160 --> 00:23:08,080 Speaker 1: stuff is made in China with a combination of labor, capital, 434 00:23:08,080 --> 00:23:10,639 Speaker 1: and raw materials. Right, So this is just one component. 435 00:23:11,040 --> 00:23:14,720 Speaker 1: I don't think inflation in tradable goods is going to 436 00:23:14,720 --> 00:23:18,800 Speaker 1: be a massive problem. What about the thirty seconds? If 437 00:23:18,840 --> 00:23:22,440 Speaker 1: you can the relationship between China and say Russia, the 438 00:23:22,480 --> 00:23:24,720 Speaker 1: relationship between China and India, is there going to be 439 00:23:24,800 --> 00:23:29,439 Speaker 1: a read through into the States? I mean you have 440 00:23:29,560 --> 00:23:33,399 Speaker 1: to The Russia relationship is obvious, right, you have you 441 00:23:33,440 --> 00:23:35,920 Speaker 1: have Russia and China. Is the match made in heaven 442 00:23:36,000 --> 00:23:38,520 Speaker 1: because of energy, right, So that's that was always going 443 00:23:38,560 --> 00:23:41,440 Speaker 1: to happen, and it's just a question of getting it there. 444 00:23:41,480 --> 00:23:45,280 Speaker 1: With North Stream too gone, however, was you know, eliminated? 445 00:23:45,640 --> 00:23:48,560 Speaker 1: That makes sense, right. I think India's is a slightly 446 00:23:48,560 --> 00:23:52,119 Speaker 1: different story. But I think um at the end of 447 00:23:52,160 --> 00:23:54,080 Speaker 1: the day, you have to look at trade flows. Right, 448 00:23:54,200 --> 00:23:58,240 Speaker 1: China in the US are mutually so dependent that it's 449 00:23:58,280 --> 00:24:01,680 Speaker 1: it's not a good comparison to you know, the Cold 450 00:24:01,680 --> 00:24:05,240 Speaker 1: War era between Russia United States. We were so dependently 451 00:24:05,320 --> 00:24:08,879 Speaker 1: to other portrayed and I think that the Chinese recognized that. 452 00:24:08,920 --> 00:24:11,480 Speaker 1: So there's gonna be a lot of noise, but I 453 00:24:11,520 --> 00:24:16,400 Speaker 1: think I would be fairly positive that UM, the economic 454 00:24:16,480 --> 00:24:19,639 Speaker 1: reality would drive good policy. Al Right, Hans, thanks so 455 00:24:19,720 --> 00:24:22,040 Speaker 1: much for joining us. Hans Dowt there. He is the 456 00:24:22,080 --> 00:24:26,040 Speaker 1: CEO of Mitchell Madison Group, China expert. We go to 457 00:24:26,640 --> 00:24:29,200 Speaker 1: UM whenever there are open questions here, and you can 458 00:24:29,200 --> 00:24:31,679 Speaker 1: be sure that for a lot of people in this market, 459 00:24:31,920 --> 00:24:34,000 Speaker 1: there are a lot of open questions. Even with the 460 00:24:34,000 --> 00:24:37,520 Speaker 1: new data inflation CPI coming out in China at two 461 00:24:37,520 --> 00:24:40,720 Speaker 1: point one percent last month. UM, so a little bit tepid, 462 00:24:40,920 --> 00:24:45,239 Speaker 1: but nonetheless UH growth in prices rather than declines as 463 00:24:45,280 --> 00:24:52,040 Speaker 1: they reopened. And that's the ETS was interesting to me. 464 00:24:52,119 --> 00:24:53,879 Speaker 1: For me, I think my favorite et F fun factors 465 00:24:53,920 --> 00:24:55,720 Speaker 1: that you can actually use e t F as a 466 00:24:55,800 --> 00:24:58,399 Speaker 1: shorting vehicle. UM. I guess a little wonky, but it's 467 00:24:58,480 --> 00:25:01,440 Speaker 1: interesting to me. UM, let's bring in someone who is 468 00:25:02,000 --> 00:25:04,520 Speaker 1: a true expert on e t F. S Uh has 469 00:25:04,680 --> 00:25:07,640 Speaker 1: far more knowledge on the subject than Matt and I combined, 470 00:25:07,800 --> 00:25:10,760 Speaker 1: probably a Ward Boards et F portfolio manager over at 471 00:25:10,800 --> 00:25:12,920 Speaker 1: Angel Oak. He's going to talk to us a little 472 00:25:12,920 --> 00:25:17,280 Speaker 1: bit about probably everything, but we're indulge the nerdiness here. 473 00:25:17,960 --> 00:25:21,720 Speaker 1: Shorting through e t f s. Is that a thing? Oh, yeah, 474 00:25:21,800 --> 00:25:24,240 Speaker 1: that's the thing. That's one of the great things about 475 00:25:24,359 --> 00:25:27,560 Speaker 1: the e t F market is it's a way for 476 00:25:28,320 --> 00:25:30,639 Speaker 1: you know, markets where it can sometimes be difficult to 477 00:25:30,760 --> 00:25:35,439 Speaker 1: short things like corporate bonds or high yield corporate bonds. 478 00:25:35,680 --> 00:25:39,119 Speaker 1: If you want to get underweight or short exposure, you 479 00:25:39,200 --> 00:25:42,359 Speaker 1: can utilize the e t F market to UH to 480 00:25:42,520 --> 00:25:44,720 Speaker 1: do that. And that actually, you know, it's a nice 481 00:25:44,800 --> 00:25:47,119 Speaker 1: way to kind of create liquidity in the e t 482 00:25:47,280 --> 00:25:50,680 Speaker 1: F market. And there's also options markets that are growing 483 00:25:50,840 --> 00:25:54,680 Speaker 1: rapidly around large liquid UH e t f s that 484 00:25:54,760 --> 00:25:57,000 Speaker 1: are out there. I also love that you can, you know, 485 00:25:57,080 --> 00:26:01,000 Speaker 1: build your own index is now um you can invest 486 00:26:01,080 --> 00:26:03,560 Speaker 1: in active e t f s and you can just 487 00:26:03,840 --> 00:26:06,879 Speaker 1: complete you can put together a complete strategy with e 488 00:26:07,000 --> 00:26:10,720 Speaker 1: t s. There are some limitations, right, especially in certain 489 00:26:11,400 --> 00:26:15,119 Speaker 1: vehicles like a four oh one K for example. Are 490 00:26:15,440 --> 00:26:20,399 Speaker 1: those are those sort of barriers falling away? Yeah? The 491 00:26:20,560 --> 00:26:24,120 Speaker 1: last call it even two years has been really interesting, 492 00:26:24,200 --> 00:26:26,879 Speaker 1: particularly in the fixed income market right along the lines 493 00:26:26,960 --> 00:26:30,600 Speaker 1: of what you're you're talking about. So historically, if you 494 00:26:30,680 --> 00:26:34,159 Speaker 1: wanted exposure to the fixed income market via e t 495 00:26:34,440 --> 00:26:39,359 Speaker 1: f s, you were buying either treasury bonds or corporate bonds. 496 00:26:40,119 --> 00:26:43,560 Speaker 1: And as active ETFs have grown and the difference between 497 00:26:43,640 --> 00:26:46,320 Speaker 1: active and passive e t f s. Passive you're just 498 00:26:46,359 --> 00:26:49,679 Speaker 1: gonna track a very simple index, so you need very 499 00:26:49,840 --> 00:26:54,440 Speaker 1: liquid securities underlying those those uh, those passive e t s. 500 00:26:54,840 --> 00:26:57,040 Speaker 1: With an active index or with an active e t F, 501 00:26:57,320 --> 00:27:00,040 Speaker 1: you're gonna look to try and achieve an outcome. So 502 00:27:00,119 --> 00:27:03,000 Speaker 1: maybe you're trying to get total return, maybe you're trying 503 00:27:03,040 --> 00:27:06,680 Speaker 1: to get a very high beta exposure to the fixed 504 00:27:06,720 --> 00:27:09,400 Speaker 1: income market. Maybe you're looking for something very stable that's 505 00:27:09,440 --> 00:27:11,320 Speaker 1: not going to move. It gives you a lot more 506 00:27:11,400 --> 00:27:14,840 Speaker 1: flexibility though, to be able to select different securities. You're 507 00:27:14,840 --> 00:27:17,800 Speaker 1: not forced to change when an index changes, and so 508 00:27:18,160 --> 00:27:20,000 Speaker 1: one of the things we're really excited about what that 509 00:27:20,119 --> 00:27:23,479 Speaker 1: allows in the E t F market. You know, as 510 00:27:23,520 --> 00:27:26,480 Speaker 1: I highlighted, historically you've only been able to get exposure 511 00:27:26,560 --> 00:27:29,920 Speaker 1: to credit through corporates, and now you can get exposure 512 00:27:29,960 --> 00:27:35,840 Speaker 1: to mortgage backed securities, commercial mortgage backed securities, clos All 513 00:27:35,920 --> 00:27:38,560 Speaker 1: these things that have been concentrated in the mutual fund 514 00:27:38,600 --> 00:27:42,040 Speaker 1: space where only mutual fund investors could could get access 515 00:27:42,119 --> 00:27:45,399 Speaker 1: are now quickly entering the E t F marketplace. Okay, 516 00:27:45,440 --> 00:27:48,639 Speaker 1: so let's bring it to UH next week, making a 517 00:27:48,680 --> 00:27:50,680 Speaker 1: little bit more short term here. Matt mentioned at the 518 00:27:50,760 --> 00:27:54,560 Speaker 1: top of the segment thematic e t s specifically, it 519 00:27:54,680 --> 00:27:57,080 Speaker 1: feels like the no brainer to play this market is 520 00:27:57,119 --> 00:27:58,600 Speaker 1: while you look at the Federal Reserve and you kind 521 00:27:58,600 --> 00:28:00,959 Speaker 1: of gamble what they're going to do next, what are 522 00:28:01,040 --> 00:28:04,200 Speaker 1: we looking at the Mattock ets as perhaps reemerging as 523 00:28:04,680 --> 00:28:09,840 Speaker 1: things like China, Russia, even Europe become a larger part 524 00:28:09,920 --> 00:28:14,000 Speaker 1: of the trading conversation. So we tend to focus right 525 00:28:14,520 --> 00:28:18,480 Speaker 1: exactly with what was highlighted around the Federal Reserve. We're 526 00:28:18,560 --> 00:28:21,520 Speaker 1: we're a bond focused manager and for us, you know, 527 00:28:21,680 --> 00:28:24,920 Speaker 1: the our kind of UH credents going into two thousand 528 00:28:25,000 --> 00:28:27,800 Speaker 1: twenty three is that bonds are the new equity, and 529 00:28:28,000 --> 00:28:31,200 Speaker 1: so UH you look at the Federal reserve policy, we 530 00:28:31,320 --> 00:28:34,159 Speaker 1: think we're getting towards peak policy at the Federal Reserve. 531 00:28:34,840 --> 00:28:38,720 Speaker 1: Um later this year you could even see a light recession, 532 00:28:39,320 --> 00:28:41,480 Speaker 1: and this is going to create what we think is 533 00:28:41,480 --> 00:28:44,280 Speaker 1: a tremendous opportunity in the fixed income marketplace. And we 534 00:28:44,400 --> 00:28:47,959 Speaker 1: think investors were already seeing this are starting to reduce 535 00:28:48,080 --> 00:28:51,280 Speaker 1: their equity allocations and actually think about adding fixed income 536 00:28:51,360 --> 00:28:55,240 Speaker 1: given the the yield effectively in the marketplace. You know, 537 00:28:55,520 --> 00:28:59,440 Speaker 1: particularly if that recessionary scenario plays out, you could see 538 00:28:59,520 --> 00:29:02,239 Speaker 1: that hit corporate rings and that would suggest this might 539 00:29:02,280 --> 00:29:04,840 Speaker 1: be a mooted year, particularly given the strong returns that 540 00:29:04,880 --> 00:29:06,640 Speaker 1: we've seen in the beginning of the year in the 541 00:29:06,680 --> 00:29:10,600 Speaker 1: equity marketplace on a go forward basis, without you know, 542 00:29:10,760 --> 00:29:13,720 Speaker 1: the growth and earnings and in the rally we've already 543 00:29:13,760 --> 00:29:16,760 Speaker 1: seen in equities, you know, fixed income could look like 544 00:29:17,040 --> 00:29:20,800 Speaker 1: a great place. That's particularly true in our market where 545 00:29:20,840 --> 00:29:24,120 Speaker 1: we tend to focus, which is credit. Where in the 546 00:29:24,200 --> 00:29:26,400 Speaker 1: fixed income space, Like, what kind of maturities are we 547 00:29:26,440 --> 00:29:28,560 Speaker 1: talking about here? We had a guest on yesterday who 548 00:29:29,400 --> 00:29:30,640 Speaker 1: was saying a lot of what you were saying as well, 549 00:29:30,640 --> 00:29:32,840 Speaker 1: but he said, look, we gotta go out in maturity. 550 00:29:32,880 --> 00:29:34,440 Speaker 1: You gotta go to the thirty year to the fifty 551 00:29:34,520 --> 00:29:38,080 Speaker 1: year because that's the safest play way to play the FED. 552 00:29:38,520 --> 00:29:40,360 Speaker 1: What kind of what kind of duration? What kind of 553 00:29:40,400 --> 00:29:43,160 Speaker 1: maturity are we looking at? I gotta I gotta tell you, 554 00:29:43,240 --> 00:29:44,880 Speaker 1: I don't know who it was, but I'm on the 555 00:29:44,920 --> 00:29:47,000 Speaker 1: opposite end of the spectrum. I think you can get 556 00:29:47,560 --> 00:29:51,680 Speaker 1: six and a half percent yields in UH in structured 557 00:29:51,880 --> 00:29:55,400 Speaker 1: investment grade rated securities that are one year and in 558 00:29:56,520 --> 00:29:59,200 Speaker 1: versus going out the curve to the thirty year UH, 559 00:29:59,560 --> 00:30:02,680 Speaker 1: where you're getting less yield and taking significantly greater risks. 560 00:30:02,760 --> 00:30:05,280 Speaker 1: So we think in the near term you want to 561 00:30:05,920 --> 00:30:10,400 Speaker 1: have those you know, safe, high quality, short duration securities, 562 00:30:10,440 --> 00:30:14,840 Speaker 1: get that high yield, and then over time, perhaps later 563 00:30:14,920 --> 00:30:17,240 Speaker 1: in the year, as spreads widen out with with that 564 00:30:17,720 --> 00:30:21,080 Speaker 1: potential recession um, that's when you might get a little 565 00:30:21,120 --> 00:30:23,320 Speaker 1: bit longer data and you know, buy stuff. Call it 566 00:30:23,440 --> 00:30:26,080 Speaker 1: further out the curve and further down the credit quality spectrum. 567 00:30:26,880 --> 00:30:28,800 Speaker 1: What are you seeing in the in the flows right 568 00:30:28,880 --> 00:30:31,800 Speaker 1: now and and how do you use the flows to 569 00:30:31,920 --> 00:30:36,480 Speaker 1: inform your views? Yeah, so last year was clearly a 570 00:30:36,720 --> 00:30:40,120 Speaker 1: very challenged year from a flow standpoint in the fixed 571 00:30:40,160 --> 00:30:43,200 Speaker 1: income marketplace, and on one hand, as an asset manager, 572 00:30:43,320 --> 00:30:46,040 Speaker 1: that's not as fun as the alternative. On the other hand, 573 00:30:46,080 --> 00:30:49,280 Speaker 1: it's what's creating this amazing opportunity that we're we're seeing 574 00:30:49,400 --> 00:30:51,960 Speaker 1: this year, and so far this year we have started 575 00:30:52,000 --> 00:30:54,280 Speaker 1: to see floats turn around aggressively. I think it's a 576 00:30:54,360 --> 00:30:58,600 Speaker 1: lot of the investors who were tax harvest tax harvesting 577 00:30:58,720 --> 00:31:01,479 Speaker 1: last year, uh um, and also just kind of had 578 00:31:01,600 --> 00:31:03,719 Speaker 1: moved to cash given the yields in cash were at 579 00:31:03,800 --> 00:31:06,240 Speaker 1: levels they hadn't seen in a long time. But they're 580 00:31:06,280 --> 00:31:09,920 Speaker 1: starting to put that money to work now. There After 581 00:31:10,000 --> 00:31:11,800 Speaker 1: you kind of look at what the demand is going 582 00:31:11,840 --> 00:31:13,640 Speaker 1: to be. We look at what the supply is in 583 00:31:13,720 --> 00:31:15,760 Speaker 1: the market, and there's not a lot of supply coming 584 00:31:15,800 --> 00:31:19,360 Speaker 1: from fixed income market, which you know, again informs our 585 00:31:19,400 --> 00:31:21,560 Speaker 1: bullish view that if you have a lot of demand 586 00:31:21,680 --> 00:31:23,920 Speaker 1: for bonds and there aren't a lot of bonds being 587 00:31:23,960 --> 00:31:26,400 Speaker 1: produced out there, you know, the price has to go up. 588 00:31:28,520 --> 00:31:32,160 Speaker 1: I am confused then about when you're talking about the yield. 589 00:31:33,680 --> 00:31:35,800 Speaker 1: Isn't this been kind of a dynamic for a couple 590 00:31:35,840 --> 00:31:37,800 Speaker 1: of months now. I'm just wondering, like, what's new here? 591 00:31:37,880 --> 00:31:41,320 Speaker 1: Why are people more convinced that perhaps the bond market 592 00:31:42,160 --> 00:31:47,120 Speaker 1: is deserving of a bull case. I think the point 593 00:31:47,240 --> 00:31:50,360 Speaker 1: you you brought up, which are flows flows having turned around, 594 00:31:50,560 --> 00:31:53,840 Speaker 1: I think is a positive catalyst. I also think some 595 00:31:54,000 --> 00:31:56,360 Speaker 1: of the CPI that we've numbers that we've seen in 596 00:31:56,400 --> 00:31:59,400 Speaker 1: the last call it month or two as that kind 597 00:31:59,440 --> 00:32:02,600 Speaker 1: of flows into the marketplace and starts to see interest 598 00:32:02,680 --> 00:32:07,400 Speaker 1: rate volatility declimb. All those things, you know, effectively inform 599 00:32:07,560 --> 00:32:11,600 Speaker 1: or drive this kind of both spread tightening in particular 600 00:32:11,680 --> 00:32:14,680 Speaker 1: and at least the stabilization in yields, if not a 601 00:32:17,000 --> 00:32:20,000 Speaker 1: a lower yield number itself. But you also got to 602 00:32:20,080 --> 00:32:22,560 Speaker 1: remember that you're getting a nice coupon now, a six 603 00:32:22,640 --> 00:32:25,440 Speaker 1: and a half percent, seven percent coupon with the potential 604 00:32:25,520 --> 00:32:28,360 Speaker 1: for price appreciation. That's where you get into this call 605 00:32:28,440 --> 00:32:32,560 Speaker 1: at seven, eight, nine, even ten total return potential. You know. 606 00:32:32,680 --> 00:32:35,520 Speaker 1: That's that's why we view as bonds as the news stocks. 607 00:32:36,360 --> 00:32:39,280 Speaker 1: That's interesting, you know. I will say that I saw 608 00:32:39,320 --> 00:32:42,480 Speaker 1: a great piece today by Ed Harrison from Bloomberg pointing 609 00:32:42,520 --> 00:32:46,680 Speaker 1: out that one of the most unnoticed monetary policy transmission 610 00:32:46,760 --> 00:32:51,240 Speaker 1: channels is the interest income channel. So that that coupon 611 00:32:51,720 --> 00:32:55,840 Speaker 1: is um maybe less helpful than the Fed wants it 612 00:32:55,880 --> 00:32:57,800 Speaker 1: to be right now, which leads you down a whole 613 00:32:58,160 --> 00:33:00,640 Speaker 1: uh well, leads you down a big rabbit hole, and 614 00:33:00,880 --> 00:33:04,480 Speaker 1: I recommend the macrobu column. Um alright, Ward, Boards, thank 615 00:33:04,520 --> 00:33:06,480 Speaker 1: you very much for joining us. Pleasure having on. Hope 616 00:33:06,480 --> 00:33:09,040 Speaker 1: you can get you back on again soon. Ward is 617 00:33:09,120 --> 00:33:11,200 Speaker 1: the et F portfolio manager as well as a head 618 00:33:11,240 --> 00:33:17,560 Speaker 1: of distribution in public strategies over at Angel Oak. I've 619 00:33:17,560 --> 00:33:21,120 Speaker 1: been waiting all day long to get to this story. 620 00:33:21,240 --> 00:33:23,680 Speaker 1: I know you mentioned it like every commercial break. Well, 621 00:33:23,800 --> 00:33:28,800 Speaker 1: it is to me absolutely fascinating the sheer scale of theft. 622 00:33:28,960 --> 00:33:32,400 Speaker 1: Until this point, my all time favorite theft was the 623 00:33:32,960 --> 00:33:36,960 Speaker 1: Great maple Syrup heist of like two twelve. Do you 624 00:33:37,000 --> 00:33:40,000 Speaker 1: remember one Canada has like maple syrup is a big 625 00:33:40,080 --> 00:33:43,200 Speaker 1: deal for Canada obviously, and they have these huge, like 626 00:33:44,800 --> 00:33:48,880 Speaker 1: government run depots that store all the extra maple syrup, 627 00:33:49,040 --> 00:33:52,239 Speaker 1: just like we have Fort Knox for gold. And at 628 00:33:52,320 --> 00:33:55,479 Speaker 1: one point, I can't remember all the details, but at 629 00:33:55,520 --> 00:33:57,040 Speaker 1: one point they looked in one of the barrels and 630 00:33:57,120 --> 00:33:59,520 Speaker 1: found it was just water. And then they realized somebody 631 00:33:59,560 --> 00:34:03,960 Speaker 1: had still and like millions of dollars worth of maple syrup. 632 00:34:04,520 --> 00:34:07,400 Speaker 1: But that was like twenty million bucks or the maple syrup. 633 00:34:07,520 --> 00:34:10,960 Speaker 1: This is five hundred and seventies seven million dollars worth 634 00:34:11,000 --> 00:34:14,399 Speaker 1: of nickel. Okay, yes, quite not quite the same. Let's 635 00:34:14,440 --> 00:34:17,000 Speaker 1: get out to Jack farshe's one of the reporters on 636 00:34:17,080 --> 00:34:21,080 Speaker 1: this story, which Jack, I just you know, there are 637 00:34:21,080 --> 00:34:23,440 Speaker 1: a few stories that I just read straight top to 638 00:34:23,560 --> 00:34:26,200 Speaker 1: bottom um and then want more. This is one of 639 00:34:26,280 --> 00:34:29,720 Speaker 1: those stories. So traffic Eurra Group is the big trading 640 00:34:29,800 --> 00:34:33,640 Speaker 1: outfit where based in London that realized, um, it was 641 00:34:33,719 --> 00:34:36,840 Speaker 1: buying all this nickel and was getting I guess rocks 642 00:34:40,360 --> 00:34:42,520 Speaker 1: that head office in Geneva. They're one of the world's 643 00:34:42,520 --> 00:34:46,800 Speaker 1: biggest trading companies. Uh. Probably not the company that you 644 00:34:46,800 --> 00:34:49,000 Speaker 1: would expect to be to be caught out in this 645 00:34:49,160 --> 00:34:51,840 Speaker 1: kind of in this kind of situation. Uh. You know, 646 00:34:51,920 --> 00:34:54,680 Speaker 1: if you if you think of the the global commodity 647 00:34:54,719 --> 00:34:57,480 Speaker 1: trading industry, they are one of the blue chips. They are, 648 00:34:57,680 --> 00:35:00,279 Speaker 1: you know, the Microsoft or Apple of the of the 649 00:35:00,280 --> 00:35:03,920 Speaker 1: commodity trading industry. And yet here they are and you know, 650 00:35:04,000 --> 00:35:07,640 Speaker 1: according to our reporting and and indeed what they've what 651 00:35:07,760 --> 00:35:10,680 Speaker 1: they've said now and confirmed on the record. Uh. They 652 00:35:10,800 --> 00:35:15,040 Speaker 1: started opening containers as they started arriving at ports. First 653 00:35:15,239 --> 00:35:17,280 Speaker 1: the first one in Rotterdam a few days before Christmas 654 00:35:18,120 --> 00:35:20,800 Speaker 1: last year. They opened this container that was supposed to 655 00:35:20,800 --> 00:35:24,080 Speaker 1: contain nickel that they supposedly owned, and what they found 656 00:35:24,120 --> 00:35:27,920 Speaker 1: in it was essentially not much. I think there were 657 00:35:27,960 --> 00:35:30,240 Speaker 1: some things like crude steel in some of these containers 658 00:35:30,880 --> 00:35:33,040 Speaker 1: and other things that are worth you know, a tiny, 659 00:35:33,120 --> 00:35:35,680 Speaker 1: tiny fraction of what of what nickel is worth. Uh, 660 00:35:35,880 --> 00:35:37,600 Speaker 1: And when they add up, I mean they're still they're 661 00:35:37,600 --> 00:35:41,000 Speaker 1: still apparently I think probably hundreds of these containers sitting 662 00:35:41,040 --> 00:35:43,400 Speaker 1: on container ships going around the world at the moment. 663 00:35:43,960 --> 00:35:45,560 Speaker 1: But if they add up all of the containers that 664 00:35:45,640 --> 00:35:48,400 Speaker 1: they have that as uh, that that that they bought 665 00:35:48,840 --> 00:35:51,360 Speaker 1: from a from a group of a group of companies 666 00:35:51,400 --> 00:35:55,080 Speaker 1: connected to a particular individual, um, they say that's worth 667 00:35:55,120 --> 00:35:57,680 Speaker 1: five seven million dollars and they've they've taken that as 668 00:35:57,719 --> 00:36:01,560 Speaker 1: a loss already. So so talk us through first of all, 669 00:36:01,800 --> 00:36:04,239 Speaker 1: how this nickel gets transported around the world. How big 670 00:36:04,320 --> 00:36:07,759 Speaker 1: are these containers? Are we talking like twenty ft fort containers? 671 00:36:08,160 --> 00:36:10,520 Speaker 1: What do they weigh? Did they just fill them up 672 00:36:10,560 --> 00:36:14,160 Speaker 1: with nickel? Is it like shoveled in or what are 673 00:36:14,200 --> 00:36:15,920 Speaker 1: we What are we really talking about here? Because I 674 00:36:16,000 --> 00:36:19,200 Speaker 1: just think it's fair, it's standards, its standard shipping container. 675 00:36:19,239 --> 00:36:22,160 Speaker 1: There's a lot of a lot of industrial metals get 676 00:36:22,239 --> 00:36:25,640 Speaker 1: shipped on in containers. You know, if you think about 677 00:36:25,680 --> 00:36:27,520 Speaker 1: things like iron ore and coal, they tend to be 678 00:36:27,560 --> 00:36:29,480 Speaker 1: shipped in bulk. So you have a whole ship that 679 00:36:29,680 --> 00:36:33,640 Speaker 1: is full of coal or of iron ore, but things 680 00:36:33,760 --> 00:36:40,040 Speaker 1: like refined in copper, nickel, aluminium, even copper ores. That 681 00:36:40,120 --> 00:36:44,120 Speaker 1: kind of thing usually shipped in containers alongside everything else 682 00:36:44,200 --> 00:36:47,280 Speaker 1: that gets shipped in containers, you know, the cars, the whatever. 683 00:36:47,360 --> 00:36:49,480 Speaker 1: If you're moving house, you're container full of your stuff 684 00:36:49,520 --> 00:36:51,000 Speaker 1: moving from one country to another. All the rest of 685 00:36:51,040 --> 00:36:56,880 Speaker 1: it is on a container ship with you want to 686 00:36:56,880 --> 00:37:01,560 Speaker 1: contains on a container ship with with the with the 687 00:37:01,640 --> 00:37:05,759 Speaker 1: nickel and the copper, uh, and you can probably put 688 00:37:05,760 --> 00:37:08,000 Speaker 1: about twenty five tons of copper give or of nickel 689 00:37:08,160 --> 00:37:11,360 Speaker 1: rather or copper for that matter, in a single container. 690 00:37:11,440 --> 00:37:14,960 Speaker 1: And so there will be a few dozen containers containing 691 00:37:15,320 --> 00:37:17,879 Speaker 1: nickel that is owned by Trafficura, say in this case, 692 00:37:18,520 --> 00:37:21,160 Speaker 1: on a container ship going from one part to another. UM. 693 00:37:21,680 --> 00:37:24,279 Speaker 1: The key really to the whole, this whole story and 694 00:37:24,360 --> 00:37:27,040 Speaker 1: why this happens time and time again in commodity trading 695 00:37:27,440 --> 00:37:31,600 Speaker 1: is the reliance of the industry on physical documents. So, 696 00:37:33,080 --> 00:37:37,000 Speaker 1: just to be clear, was there actually nickel there or 697 00:37:37,160 --> 00:37:42,360 Speaker 1: was this a complete like fraud. It's a good question. 698 00:37:42,440 --> 00:37:45,640 Speaker 1: We don't know all the details yet of what exactly happened. 699 00:37:45,719 --> 00:37:48,799 Speaker 1: Traffic Oura has said UH that they think they were 700 00:37:48,800 --> 00:37:52,200 Speaker 1: the victim of a systematic fraud, UM, and that involved 701 00:37:52,239 --> 00:37:56,399 Speaker 1: misrepresentation and the presentation of a variety of false documentation. UM. 702 00:37:57,160 --> 00:37:59,640 Speaker 1: There are various ways in which this kind of thing 703 00:38:00,040 --> 00:38:03,600 Speaker 1: can happen and has happened in the past. One is, 704 00:38:03,760 --> 00:38:06,319 Speaker 1: you know, at some point there is some real nickel, uh, 705 00:38:06,520 --> 00:38:10,399 Speaker 1: and then at some point somebody produces some some fake 706 00:38:10,480 --> 00:38:12,560 Speaker 1: documentation saying that the real nickel is still in this 707 00:38:12,640 --> 00:38:16,120 Speaker 1: container when actually it no longer is, or or that 708 00:38:16,239 --> 00:38:18,239 Speaker 1: it hasn't been sold when actually it has. That kind 709 00:38:18,280 --> 00:38:20,680 Speaker 1: of thing. So somewhere in the chain, maybe there was 710 00:38:20,760 --> 00:38:22,600 Speaker 1: some nickel at some point, but by the time that 711 00:38:22,680 --> 00:38:25,200 Speaker 1: trafficer opened the container, it wasn't there anymore. Season maybe 712 00:38:25,239 --> 00:38:29,720 Speaker 1: it's been taken so could it could have been stolen, 713 00:38:29,920 --> 00:38:32,120 Speaker 1: Maybe it was never there. I guess we don't know. 714 00:38:32,440 --> 00:38:35,279 Speaker 1: We're not to the bottom of this yet, Jack traffic Er, 715 00:38:35,400 --> 00:38:38,800 Speaker 1: I guess pressing legal action against um I. When I 716 00:38:38,880 --> 00:38:42,279 Speaker 1: saw India, I immediately thought of Donnie, as I'm sure 717 00:38:42,360 --> 00:38:45,840 Speaker 1: many other people did. But it's not. It's there pursuing 718 00:38:45,920 --> 00:38:50,600 Speaker 1: legal action against Pratique Gupta and no relation to Critty. 719 00:38:50,719 --> 00:38:52,680 Speaker 1: By the way, I want to point out right now, UM, 720 00:38:53,320 --> 00:38:57,759 Speaker 1: but what does pratique Gupta say, and how I mean 721 00:38:58,160 --> 00:39:01,440 Speaker 1: even if you know, if if you take Trafficer at 722 00:39:01,480 --> 00:39:03,520 Speaker 1: his word, this guy must be a big deal to 723 00:39:03,680 --> 00:39:06,760 Speaker 1: even sell five hundred seventy seven billion dollars million dollars 724 00:39:06,800 --> 00:39:10,839 Speaker 1: of fake nickel. Well that's a very good point. Um. 725 00:39:10,960 --> 00:39:13,280 Speaker 1: So Prettee up to we have been trying to contact 726 00:39:13,360 --> 00:39:18,719 Speaker 1: him and his companies. We haven't had any response so far. Um. 727 00:39:19,640 --> 00:39:24,319 Speaker 1: Obviously they're defending themselves in legal action or they they 728 00:39:24,360 --> 00:39:27,080 Speaker 1: will be scrambling to defend themselves in legal action against 729 00:39:27,120 --> 00:39:29,480 Speaker 1: traffic or which trafficker has been launching around the world 730 00:39:29,480 --> 00:39:32,200 Speaker 1: in the last few days. Um. But it's a good 731 00:39:32,239 --> 00:39:35,239 Speaker 1: point that Trafficer had this huge exposure to them. Uh. 732 00:39:35,719 --> 00:39:39,120 Speaker 1: They're not that huge trading company. They're relatively well known 733 00:39:39,400 --> 00:39:43,880 Speaker 1: in the world of people who trade uh metals like nickel, 734 00:39:44,280 --> 00:39:49,000 Speaker 1: but it's not a vast group of companies. Um. Uh. 735 00:39:49,320 --> 00:39:51,480 Speaker 1: You know, Prettee up to there was a company called 736 00:39:51,520 --> 00:39:53,840 Speaker 1: Tushtev International, which was an Indian company that's now an 737 00:39:53,840 --> 00:39:58,359 Speaker 1: insolvency that he was running and was partially owned by 738 00:39:58,800 --> 00:40:01,759 Speaker 1: him and other members of his family. It's maximum which 739 00:40:01,840 --> 00:40:03,799 Speaker 1: was more than a decade ago. It was worth about 740 00:40:03,800 --> 00:40:06,040 Speaker 1: two d and fifty million dollars and since then is 741 00:40:06,080 --> 00:40:08,520 Speaker 1: worth you know, only a few million dollars which is 742 00:40:08,560 --> 00:40:12,040 Speaker 1: listed on in India. Um. So it is quite striking 743 00:40:12,080 --> 00:40:14,640 Speaker 1: that Trafficura managed to end up with an exposure of 744 00:40:14,880 --> 00:40:17,799 Speaker 1: five seven million dollars to to these guys. I think 745 00:40:17,840 --> 00:40:21,640 Speaker 1: that you know, the point that I would make is uh, 746 00:40:21,719 --> 00:40:23,760 Speaker 1: and I guess the reason why a company like Trafficura 747 00:40:23,800 --> 00:40:26,279 Speaker 1: could end up being caught out by this kind of thing. Uh. 748 00:40:26,719 --> 00:40:29,279 Speaker 1: This was metal that Trafficura thought it had bought. So 749 00:40:29,360 --> 00:40:32,960 Speaker 1: it wasn't like they had a credit exposure to these companies. 750 00:40:33,640 --> 00:40:35,400 Speaker 1: They thought they bought some metal and they thought what 751 00:40:35,440 --> 00:40:37,080 Speaker 1: they owned it. It was only when they discovered that 752 00:40:37,200 --> 00:40:39,840 Speaker 1: they didn't own what they thought they owned but they 753 00:40:40,000 --> 00:40:42,680 Speaker 1: that they realized they had a big exposure. So actually 754 00:40:43,440 --> 00:40:45,640 Speaker 1: their assumption was that they didn't have much of an 755 00:40:45,680 --> 00:40:47,880 Speaker 1: exposure at all because they owned some metal, they had 756 00:40:48,000 --> 00:40:51,279 Speaker 1: title of documentation to this all of these parcels of 757 00:40:51,320 --> 00:40:54,239 Speaker 1: metal fitting in ships around the world, which wasn't there. 758 00:40:55,280 --> 00:40:57,960 Speaker 1: It wasn't which in fact, Jack, thanks so much for 759 00:40:58,080 --> 00:41:00,520 Speaker 1: joining us. It's a great story. Jack. Here she wrote 760 00:41:00,560 --> 00:41:03,359 Speaker 1: this story with Archie Hunter highly recommend checking it out 761 00:41:03,680 --> 00:41:07,200 Speaker 1: on the Bloomberg terminal. Traffickerro faces five seventy seven million 762 00:41:07,280 --> 00:41:15,640 Speaker 1: dollar loss after finding nickel fraud. Thanks for listening to 763 00:41:15,640 --> 00:41:19,160 Speaker 1: the Bloomberg Markets podcast. You can subscribe and listen to 764 00:41:19,239 --> 00:41:23,359 Speaker 1: interviews with Apple Podcasts or whatever podcast platform you prefer. 765 00:41:23,800 --> 00:41:28,319 Speaker 1: I'm Matt Miller. I'm on Twitter at Matt Miller. Pen 766 00:41:28,400 --> 00:41:30,959 Speaker 1: On Fall Sweeney I'm on Twitter at pt Sweeney. Before 767 00:41:31,000 --> 00:41:33,840 Speaker 1: the podcast. You can always catch us worldwide at Bloomberg 768 00:41:33,920 --> 00:41:34,160 Speaker 1: Radio