1 00:00:09,720 --> 00:00:12,880 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keen with 2 00:00:13,560 --> 00:00:16,520 Speaker 1: David Gura. Daily we bring you insight from the best 3 00:00:16,560 --> 00:00:22,279 Speaker 1: of economics, finance, investment, and international relations. Find Bloomberg Surveillance 4 00:00:22,320 --> 00:00:27,000 Speaker 1: on Apple Podcasts, SoundCloud, Bloomberg dot Com, and of course, 5 00:00:27,320 --> 00:00:33,680 Speaker 1: on the Bloomberg. We begin this morning with Alan Ruskin. 6 00:00:33,720 --> 00:00:35,640 Speaker 1: He's the global head of G ten Epic Strategy of 7 00:00:35,680 --> 00:00:37,720 Speaker 1: Deutsche Bank. Joins us here in our Bloomberger and leven 8 00:00:37,760 --> 00:00:39,800 Speaker 1: three of studios in New York. Let's start with the 9 00:00:39,800 --> 00:00:41,600 Speaker 1: news out of Spain, right of northern Spain. I suppose 10 00:00:41,640 --> 00:00:44,000 Speaker 1: I should say what does this mean for for the 11 00:00:44,040 --> 00:00:46,160 Speaker 1: economy of the region more generally? There are a number 12 00:00:46,200 --> 00:00:49,440 Speaker 1: of other places, not unlike Cataloni. They're probably watching what's 13 00:00:49,479 --> 00:00:53,600 Speaker 1: what's unfolding there, watching this dynamic between uh Spain and Catalonia. 14 00:00:53,880 --> 00:00:55,680 Speaker 1: What are the lessons to be learned, both politically and 15 00:00:55,760 --> 00:00:57,880 Speaker 1: economically from what we're seeing happened there. Well, I think 16 00:00:57,880 --> 00:01:01,960 Speaker 1: it's some danger that would you of is some resources 17 00:01:01,960 --> 00:01:06,160 Speaker 1: get pulled out of Catalonia to other regions in Spain, 18 00:01:06,560 --> 00:01:10,440 Speaker 1: and you know, net net, those other regions probably benefit 19 00:01:10,520 --> 00:01:16,280 Speaker 1: to some degree. Catalonia loses art. The uncertainty overall probably 20 00:01:16,319 --> 00:01:20,120 Speaker 1: means that they're a Spain tends to lose art to 21 00:01:20,200 --> 00:01:22,360 Speaker 1: some extent, and I think you're seeing that in some 22 00:01:22,440 --> 00:01:24,639 Speaker 1: of the downward revisions to growth. But for the moment 23 00:01:24,720 --> 00:01:27,399 Speaker 1: at least, I think you know, those downward revisions are 24 00:01:27,520 --> 00:01:30,160 Speaker 1: are quite modest. Does it say anything to you about 25 00:01:30,200 --> 00:01:33,760 Speaker 1: the future of the integrity of the European experiment? Does 26 00:01:33,760 --> 00:01:36,280 Speaker 1: it give you concern about where things might be added? Yeah, 27 00:01:36,280 --> 00:01:40,000 Speaker 1: I think there's a wider problem here as such. If 28 00:01:40,440 --> 00:01:48,040 Speaker 1: you know some smaller regions can pull apart and you 29 00:01:48,080 --> 00:01:53,480 Speaker 1: can actually see independence from from regional elements in Spain, 30 00:01:53,800 --> 00:01:56,520 Speaker 1: you would think that could happen anywhere. And I think 31 00:01:56,560 --> 00:01:59,240 Speaker 1: it's indicative of what you're seeing in in in a 32 00:01:59,280 --> 00:02:03,640 Speaker 1: way world, which is, if these smaller regions can fall 33 00:02:03,800 --> 00:02:07,600 Speaker 1: under a defense umbrella and can adopt a currency as 34 00:02:07,640 --> 00:02:12,240 Speaker 1: such as stable currency, then why not have some independence 35 00:02:12,400 --> 00:02:15,720 Speaker 1: in the senses? I think? So, you know, the issue 36 00:02:15,760 --> 00:02:18,440 Speaker 1: you have here is it must be made clear to 37 00:02:18,560 --> 00:02:23,040 Speaker 1: some extent that there costs to independence as well. Otherwise 38 00:02:23,080 --> 00:02:25,080 Speaker 1: I think you're going to see more of this rather 39 00:02:25,120 --> 00:02:26,799 Speaker 1: than less of it. Explain to us why we're not 40 00:02:26,840 --> 00:02:29,360 Speaker 1: seeing wilder swings in the euro as a result of this, 41 00:02:29,639 --> 00:02:31,839 Speaker 1: as a result of you know, what's been a many 42 00:02:31,880 --> 00:02:34,440 Speaker 1: weeks long ordeal here again in northern Spain. But I 43 00:02:34,440 --> 00:02:36,520 Speaker 1: think we've just you know, come off the French election, 44 00:02:36,600 --> 00:02:38,560 Speaker 1: where I think there was a genuine perception that this 45 00:02:38,639 --> 00:02:41,840 Speaker 1: was an existential crisis. Is the possibility that you'd have 46 00:02:41,880 --> 00:02:44,400 Speaker 1: a government that would actually want to pull out of 47 00:02:44,440 --> 00:02:47,960 Speaker 1: the euro um. I think on the contrary over here, 48 00:02:48,440 --> 00:02:52,519 Speaker 1: it's very very likely that even if you had in 49 00:02:52,600 --> 00:02:56,800 Speaker 1: the Catalonian independence, there would still be adopting the Euro. 50 00:02:56,960 --> 00:02:59,239 Speaker 1: Just can't quite see them having their only independent central 51 00:02:59,240 --> 00:03:02,239 Speaker 1: banking such And I think in that sense, you don't 52 00:03:02,320 --> 00:03:06,920 Speaker 1: have any of these concerns about you know, past contracts 53 00:03:06,919 --> 00:03:10,000 Speaker 1: effectively and will there be fulfilled, etcetera. So it's not 54 00:03:10,080 --> 00:03:13,680 Speaker 1: perceived as an existential threat in a direct sense. There 55 00:03:13,680 --> 00:03:16,400 Speaker 1: will be issues that relate to Spanish debt and who 56 00:03:16,440 --> 00:03:19,239 Speaker 1: pays for Spanish debt, etcetera, and that would be more 57 00:03:19,240 --> 00:03:22,080 Speaker 1: problematic I think, in the next downturn, But I don't 58 00:03:22,120 --> 00:03:24,760 Speaker 1: think that's as problematic. Well, you know, it's as big 59 00:03:24,800 --> 00:03:28,920 Speaker 1: an issue as if people feel that, uh, the contracts 60 00:03:29,320 --> 00:03:31,320 Speaker 1: are not going to be on it because there's a 61 00:03:31,360 --> 00:03:34,320 Speaker 1: different currency at play. What was that your takeaway were 62 00:03:34,360 --> 00:03:36,400 Speaker 1: your takeaways from the annual meetings of the i m 63 00:03:36,440 --> 00:03:39,080 Speaker 1: from the World Bank last week? The the outlook that 64 00:03:39,160 --> 00:03:42,000 Speaker 1: was released by the IMF slightly more optimistic than it 65 00:03:42,040 --> 00:03:45,160 Speaker 1: had been, projecting more growth in the global economy. Of course, 66 00:03:45,160 --> 00:03:47,480 Speaker 1: there's the general condizzance of the fact that we have 67 00:03:47,560 --> 00:03:50,000 Speaker 1: low inflation globally as well. What did you take away 68 00:03:50,000 --> 00:03:53,160 Speaker 1: from the conversation of those of those leaders of financing 69 00:03:53,200 --> 00:03:55,560 Speaker 1: the economy gathered and Watchington last week. But I think 70 00:03:55,560 --> 00:04:00,080 Speaker 1: it's a quiet optimism. But beneath that, of course, you 71 00:04:00,080 --> 00:04:01,960 Speaker 1: always have to worry, right, I think these guys are 72 00:04:02,040 --> 00:04:04,839 Speaker 1: to some extent paid to worry and paid to look 73 00:04:04,880 --> 00:04:07,520 Speaker 1: out for what could be the next crisis. Now we've 74 00:04:07,560 --> 00:04:11,200 Speaker 1: really gone through a period of unbelievable stability and global growth. 75 00:04:11,280 --> 00:04:12,680 Speaker 1: I mean we've you know, if you look at I 76 00:04:12,680 --> 00:04:15,839 Speaker 1: think it's the i m F global growth data, we've 77 00:04:15,880 --> 00:04:19,960 Speaker 1: tracked between roughly about three and three point two for 78 00:04:20,440 --> 00:04:24,200 Speaker 1: five years three two thousand and sixteen. That's unbelievable in 79 00:04:24,320 --> 00:04:27,120 Speaker 1: terms of lack of volatility as such, and it's not 80 00:04:27,279 --> 00:04:29,680 Speaker 1: a great performance from a global growth standpoint. But it's 81 00:04:29,720 --> 00:04:32,440 Speaker 1: okay as such, and now I think the perception is 82 00:04:32,440 --> 00:04:34,200 Speaker 1: we're going to error on the top side of that, 83 00:04:34,640 --> 00:04:38,160 Speaker 1: but that maybe there's other issues lurking in the winds 84 00:04:38,200 --> 00:04:40,120 Speaker 1: as such. As I think that then that's that's I 85 00:04:40,120 --> 00:04:44,119 Speaker 1: think what concerns central bankers. Good morning, I want listening. 86 00:04:45,040 --> 00:04:47,400 Speaker 1: I'm sorry, just got in. I can I just say, 87 00:04:47,480 --> 00:04:49,920 Speaker 1: David is a starting point. I love four and five 88 00:04:50,000 --> 00:04:54,000 Speaker 1: pm baseball starts. Yeah, well wrapped up at what that's great. 89 00:04:54,480 --> 00:04:58,560 Speaker 1: The kids children actually watched the baseball game. AILCE hosts 90 00:04:58,560 --> 00:05:02,679 Speaker 1: as well. Yeah, us to talk about today, Ellen Roskin? 91 00:05:02,760 --> 00:05:06,960 Speaker 1: Where this with Deutsche Bank? And I guess one place 92 00:05:07,040 --> 00:05:09,400 Speaker 1: we can start. Alan, lovely to have you here through 93 00:05:09,440 --> 00:05:12,279 Speaker 1: the half hour. It's just a dollar call. It was 94 00:05:12,320 --> 00:05:16,960 Speaker 1: the great missed call of the summer. Why was that? 95 00:05:17,040 --> 00:05:21,600 Speaker 1: Why did Why was everybody long? The dollar? Consensus long? Dollar? Oops? 96 00:05:21,720 --> 00:05:24,120 Speaker 1: It went the other way. Well, I think we've been 97 00:05:24,160 --> 00:05:26,599 Speaker 1: on a trend for a while. It's on and it's 98 00:05:26,760 --> 00:05:31,320 Speaker 1: very difficult to call turning points. And part of the 99 00:05:31,400 --> 00:05:34,360 Speaker 1: turning point I think came through two big sources. One 100 00:05:34,440 --> 00:05:38,240 Speaker 1: was the Trump reflation trade, which had given the dollar 101 00:05:38,560 --> 00:05:40,800 Speaker 1: a boost right at the end of last year that 102 00:05:41,000 --> 00:05:44,000 Speaker 1: that one flagged and flagged quite quite heavily as such. 103 00:05:44,360 --> 00:05:46,320 Speaker 1: And then it came at the same time as the 104 00:05:46,400 --> 00:05:51,840 Speaker 1: French elections tended to remove European political uncertainty to some extent, 105 00:05:51,920 --> 00:05:53,760 Speaker 1: so that put the bit on Europe and put a 106 00:05:53,800 --> 00:05:56,359 Speaker 1: bit on Europe, and then I think you saw a 107 00:05:56,440 --> 00:05:59,040 Speaker 1: lot of investors feel, wait a minute, we were really 108 00:05:59,120 --> 00:06:03,800 Speaker 1: underweight yours and you've had an asset allocation story as 109 00:06:03,800 --> 00:06:06,120 Speaker 1: well into Europe. And then you and I agree that 110 00:06:06,160 --> 00:06:08,480 Speaker 1: technical analysis can keep you out of trouble. You may 111 00:06:08,480 --> 00:06:10,080 Speaker 1: not make any money with it, but it's good at 112 00:06:10,480 --> 00:06:13,240 Speaker 1: not losing money. We've had I guess we've had a 113 00:06:13,279 --> 00:06:17,680 Speaker 1: breakthrough the downtrend. But as you mentioned earlier, there's a 114 00:06:17,720 --> 00:06:22,479 Speaker 1: fragility to this dollar rally. It's not for real, is it. Yes. 115 00:06:22,520 --> 00:06:25,039 Speaker 1: I think it's a problem we have right now in 116 00:06:25,040 --> 00:06:28,080 Speaker 1: the currency world is that we love divergence, right so 117 00:06:28,120 --> 00:06:31,960 Speaker 1: we love the idea that um fed's going to tighten 118 00:06:32,200 --> 00:06:34,440 Speaker 1: and some other central bank's going to ease. That's a 119 00:06:34,560 --> 00:06:38,280 Speaker 1: relatively easy trade. But right now, actually the euro looks okay. 120 00:06:38,320 --> 00:06:41,080 Speaker 1: As I mentioned earlier, I think is under acid allocation, 121 00:06:41,640 --> 00:06:44,240 Speaker 1: long term acid allocation, and that I think will be 122 00:06:44,279 --> 00:06:47,760 Speaker 1: helpful for the euro going forward. And the European Central 123 00:06:47,760 --> 00:06:51,159 Speaker 1: Bank is tightening, albeit it's really effectively just tapering its 124 00:06:51,160 --> 00:06:54,839 Speaker 1: past quear such, but it's we are in a world 125 00:06:54,960 --> 00:06:59,279 Speaker 1: now where central banks in general thinking of tightening. So 126 00:06:59,320 --> 00:07:00,920 Speaker 1: this is we've got a horse race here and they go, 127 00:07:01,520 --> 00:07:03,560 Speaker 1: but they're all running in the same direction, which makes 128 00:07:03,560 --> 00:07:06,039 Speaker 1: a little bit more confusing for us. How cheap is 129 00:07:06,040 --> 00:07:09,040 Speaker 1: the the yeen at this point? Is there value on 130 00:07:09,080 --> 00:07:11,240 Speaker 1: the yeen as you see it right now? There's value 131 00:07:11,280 --> 00:07:13,239 Speaker 1: on a long term basis, and so much as pretty 132 00:07:13,280 --> 00:07:16,520 Speaker 1: much all our longer term metrics suggest it's cheap by 133 00:07:16,560 --> 00:07:20,720 Speaker 1: in the order of saw so PPP purchasing power parity 134 00:07:20,760 --> 00:07:24,480 Speaker 1: indicators suggests the low nineties rather than in a twelve, 135 00:07:24,720 --> 00:07:28,760 Speaker 1: So there's there's a big difference there. And historically when 136 00:07:28,800 --> 00:07:33,640 Speaker 1: you do see divergences of over that does suggest you 137 00:07:33,720 --> 00:07:36,240 Speaker 1: need to go in the opposite direction. It's time to 138 00:07:36,280 --> 00:07:38,040 Speaker 1: buy yen. But I think it's a little too early, 139 00:07:38,480 --> 00:07:41,200 Speaker 1: the cause too early, because I think right now it's 140 00:07:41,320 --> 00:07:44,880 Speaker 1: essentially been driven by US treasuries and the US tenure 141 00:07:44,920 --> 00:07:47,840 Speaker 1: heel you we We confuse that a little bit. We 142 00:07:47,960 --> 00:07:50,960 Speaker 1: pretend we're playing Dolly Yen. Yeah, but we're actually really 143 00:07:51,000 --> 00:07:53,440 Speaker 1: trading the U S tenure heeled, and I think the 144 00:07:53,520 --> 00:07:55,760 Speaker 1: U S tenure heeled on balance is going to move 145 00:07:55,880 --> 00:07:58,160 Speaker 1: highron heeled. I want to ask you the money questions 146 00:07:58,160 --> 00:08:00,680 Speaker 1: just to explain your strong yarn means that yet No. 147 00:08:00,800 --> 00:08:03,080 Speaker 1: One twelve goes down to one hundred or ninety or 148 00:08:03,080 --> 00:08:06,800 Speaker 1: whatever goes to a lower statistic p p P. Can 149 00:08:06,840 --> 00:08:10,800 Speaker 1: guys on the street make money off of p PP analysis? 150 00:08:10,840 --> 00:08:14,440 Speaker 1: I mean this goes ages ago to Kassal of eighteen 151 00:08:14,480 --> 00:08:18,040 Speaker 1: and even before that. Can you make money and a 152 00:08:18,120 --> 00:08:22,880 Speaker 1: p p P analysis or is that just too sixty feet? Um? Yeah, no, 153 00:08:23,000 --> 00:08:25,600 Speaker 1: it might be Highland might be even more rarefied to 154 00:08:25,680 --> 00:08:28,440 Speaker 1: some extent in terms of trying to make money, because look, 155 00:08:28,520 --> 00:08:30,440 Speaker 1: I think you can. You're gonna cross have a p 156 00:08:30,440 --> 00:08:33,560 Speaker 1: p P maybe once every five years exactly, but I 157 00:08:33,600 --> 00:08:36,599 Speaker 1: think you do want to be very alert to extremes 158 00:08:37,120 --> 00:08:41,680 Speaker 1: relative to when you're suggesting. Is a decent democad in 159 00:08:41,760 --> 00:08:44,319 Speaker 1: terms of extremes for old G ten currencies. Actually, this 160 00:08:44,360 --> 00:08:46,960 Speaker 1: is why we do surveillance, folks. You just had a 161 00:08:47,040 --> 00:08:51,719 Speaker 1: clinic on what you do within the set of observations. 162 00:08:51,720 --> 00:08:54,319 Speaker 1: You have to make a set up to get to 163 00:08:54,360 --> 00:08:56,360 Speaker 1: a trade. Whether your trade is two days, I mean 164 00:08:56,440 --> 00:08:59,280 Speaker 1: Ruskin is trading over two hour period. But whether it's 165 00:08:59,280 --> 00:09:02,840 Speaker 1: two hours of two days or two years, there's there's 166 00:09:02,880 --> 00:09:05,080 Speaker 1: a mix here of things, and you've got to be 167 00:09:05,160 --> 00:09:08,440 Speaker 1: sure you're looking at something like P P P over 168 00:09:08,480 --> 00:09:13,120 Speaker 1: the appropriate time frame and amplitude. Here end of the lecture, 169 00:09:13,200 --> 00:09:16,280 Speaker 1: Alan rescued with Deutsche Bank will continue. David Girl will 170 00:09:16,280 --> 00:09:20,240 Speaker 1: try to do something less esoteric than that. David lead 171 00:09:20,280 --> 00:09:22,800 Speaker 1: it off here, but first Abby sends in a really 172 00:09:22,840 --> 00:09:25,439 Speaker 1: smart tweet about what do we mean when we mean 173 00:09:25,559 --> 00:09:30,400 Speaker 1: long dollar. That's that's a really really smart question, and 174 00:09:30,520 --> 00:09:34,840 Speaker 1: that with the dollar is the global currency. You can 175 00:09:34,880 --> 00:09:38,079 Speaker 1: look at it versus many different pairs, or you can 176 00:09:38,120 --> 00:09:41,679 Speaker 1: look at it on a trade weighted basis. Is well 177 00:09:42,320 --> 00:09:45,280 Speaker 1: is taking trade weighted which can be like ten countries 178 00:09:45,360 --> 00:09:48,040 Speaker 1: or twenty seven countries, whatever it is, plus the Euro. 179 00:09:48,760 --> 00:09:51,480 Speaker 1: There are indexes that allow us to look at the 180 00:09:51,559 --> 00:09:56,319 Speaker 1: dollar discreetly. The classic index is the d X Y, 181 00:09:56,400 --> 00:09:59,040 Speaker 1: which we quote, and there's a new index of Bloomberg 182 00:09:59,040 --> 00:10:01,280 Speaker 1: Dollar Index which on your Bloomberg is b B d 183 00:10:01,440 --> 00:10:04,160 Speaker 1: x Y, which is actually really good math. So when 184 00:10:04,200 --> 00:10:08,439 Speaker 1: we say long dollar, that's strong dollar. David is usually 185 00:10:08,480 --> 00:10:12,840 Speaker 1: based off one of those blended in disease that bring 186 00:10:12,880 --> 00:10:16,080 Speaker 1: in all the different currency pairs. Very good. No one 187 00:10:16,160 --> 00:10:23,280 Speaker 1: drove off the road, Ruskin Doll. He's here from Dutch 188 00:10:23,360 --> 00:10:24,719 Speaker 1: back of course, and Allen I wanted to ask. We 189 00:10:24,760 --> 00:10:27,200 Speaker 1: just heard from Chris Kirkham about the parlor game about 190 00:10:27,240 --> 00:10:28,480 Speaker 1: who's going to lead the Fed. Here. We're going to 191 00:10:28,559 --> 00:10:31,079 Speaker 1: get a decision from the president, he says by November 192 00:10:31,120 --> 00:10:33,280 Speaker 1: the third, when he leaves on for this trip to Asia. 193 00:10:34,080 --> 00:10:35,760 Speaker 1: How does the market price that in? We hear that 194 00:10:35,840 --> 00:10:37,360 Speaker 1: John Taylor is in the lead this week, it was 195 00:10:37,400 --> 00:10:39,280 Speaker 1: Kevin Warsh last week. There's still a lot of movement 196 00:10:39,280 --> 00:10:41,839 Speaker 1: among the ranks of these five candidates. The president, his 197 00:10:42,160 --> 00:10:43,800 Speaker 1: interviewer is going to interview. I think he sits down 198 00:10:43,800 --> 00:10:46,760 Speaker 1: with Janet Ye in the FED chair today. How is 199 00:10:46,800 --> 00:10:50,480 Speaker 1: the market processing what may or may not happen here? David, 200 00:10:50,520 --> 00:10:54,080 Speaker 1: It's very difficult for the market process this because we're 201 00:10:54,120 --> 00:11:00,000 Speaker 1: seeing the indicators of who's the favorite things like predict 202 00:11:00,040 --> 00:11:04,880 Speaker 1: to a one one example, very very flighty in terms 203 00:11:04,880 --> 00:11:08,280 Speaker 1: of responding very much to the next headliners. So if 204 00:11:08,320 --> 00:11:10,480 Speaker 1: you took that at face value and say, the market's 205 00:11:10,520 --> 00:11:13,320 Speaker 1: expectations of who's going to be the next chair is 206 00:11:13,360 --> 00:11:18,560 Speaker 1: just flipping around. And I think there's a sense that 207 00:11:19,559 --> 00:11:26,199 Speaker 1: right now Powell is in the forefront, Yellen's certainly in 208 00:11:26,240 --> 00:11:29,240 Speaker 1: the running and on the rise perhaps, and I think 209 00:11:29,760 --> 00:11:32,640 Speaker 1: beyond that, Kevin Walsh is perceived to be in decline 210 00:11:32,720 --> 00:11:34,840 Speaker 1: and John Taylor is on the rise as well. But 211 00:11:34,960 --> 00:11:38,439 Speaker 1: that is, you know, really based off the last few 212 00:11:39,240 --> 00:11:43,720 Speaker 1: Bloomberg headlines. How much does it does it matter after 213 00:11:43,880 --> 00:11:47,559 Speaker 1: somebody dealing with currencies? How much does the appointment of 214 00:11:47,559 --> 00:11:50,600 Speaker 1: a FED term matter in the near term? I think this, this, 215 00:11:50,600 --> 00:11:52,680 Speaker 1: this is one of the matters a lot. Yes, I think, 216 00:11:52,720 --> 00:11:56,040 Speaker 1: you know, you've had a few changes which matter a lot. 217 00:11:56,120 --> 00:12:00,720 Speaker 1: I think Vulka coming in, actually green Span following Volka, 218 00:12:00,840 --> 00:12:04,160 Speaker 1: those who are potential shifts in regime very relevant for 219 00:12:04,400 --> 00:12:07,600 Speaker 1: you know today Black Monday really because that transition was 220 00:12:07,640 --> 00:12:11,640 Speaker 1: part of the Black Monday story. I think the handover 221 00:12:11,679 --> 00:12:14,439 Speaker 1: from Greenspan to Banankee and Banankee to yell And was 222 00:12:14,520 --> 00:12:17,200 Speaker 1: much more benign. I think I think the sense was 223 00:12:17,240 --> 00:12:21,520 Speaker 1: that the frameworks would essentially stay unchanged. It depends now 224 00:12:21,640 --> 00:12:23,920 Speaker 1: who the next FT chair is. If you do have 225 00:12:23,960 --> 00:12:25,800 Speaker 1: someone like Taylor, and if you have someone like more 226 00:12:25,960 --> 00:12:31,720 Speaker 1: warsh or maybe cone Um, then the prospect is that 227 00:12:31,800 --> 00:12:35,679 Speaker 1: actually there's some regime change. If we do shift towards 228 00:12:35,679 --> 00:12:39,400 Speaker 1: a more rules based FED, that's going to be extremely interesting. 229 00:12:39,880 --> 00:12:42,640 Speaker 1: The market right now is taking that as a sign 230 00:12:42,679 --> 00:12:44,520 Speaker 1: that in the short term at least, the FED would 231 00:12:44,520 --> 00:12:48,120 Speaker 1: be more hawkish. In the long term, who knows, um. 232 00:12:48,160 --> 00:12:50,960 Speaker 1: I would say this, it's not that simple in terms 233 00:12:50,960 --> 00:12:53,560 Speaker 1: of market reaction, because what will happen is if you 234 00:12:53,600 --> 00:12:57,600 Speaker 1: get a more hawkish pick for the FED, the equity 235 00:12:57,600 --> 00:13:01,319 Speaker 1: market will probably go down to the point where bonds 236 00:13:01,440 --> 00:13:03,640 Speaker 1: might even rally. Really, so you've got to be careful 237 00:13:03,679 --> 00:13:05,920 Speaker 1: here in a sense. So in fact, the yield curving 238 00:13:05,960 --> 00:13:08,160 Speaker 1: general is going to flatten in a more hawkish pick, 239 00:13:08,360 --> 00:13:09,880 Speaker 1: and it's going to steep and really on a more 240 00:13:09,920 --> 00:13:12,439 Speaker 1: davish pick. And that's partly because the equity market will 241 00:13:12,440 --> 00:13:14,560 Speaker 1: be the arbiter in terms of driving the bond market. 242 00:13:14,679 --> 00:13:17,320 Speaker 1: We've spoken a few times since the last presidential election. 243 00:13:17,320 --> 00:13:19,319 Speaker 1: I think each time I ask you how clear a 244 00:13:19,400 --> 00:13:22,719 Speaker 1: sense you have of this administration's trade policy. What have 245 00:13:22,840 --> 00:13:25,760 Speaker 1: we learned this week? This fourth round of NAP negotiations, 246 00:13:25,760 --> 00:13:28,720 Speaker 1: taking place outside of Washington, ended with a press conference 247 00:13:28,760 --> 00:13:31,640 Speaker 1: that I think could safely say it wasn't optimistic about 248 00:13:31,640 --> 00:13:33,240 Speaker 1: where things are. Hadn't we have a president still talking 249 00:13:33,240 --> 00:13:37,720 Speaker 1: about terminating at the n after deal. How much does 250 00:13:37,760 --> 00:13:40,440 Speaker 1: that weigh on the pay so so? Um, it was 251 00:13:40,480 --> 00:13:43,640 Speaker 1: weighing on the page so over the last few weeks. Absolutely, so, 252 00:13:43,960 --> 00:13:46,320 Speaker 1: it's been a big deal. At the same time, I 253 00:13:46,320 --> 00:13:48,920 Speaker 1: would say, don't get caught up with the short term 254 00:13:48,920 --> 00:13:51,920 Speaker 1: headlines easeration. You really don't have a deal until we 255 00:13:51,960 --> 00:13:54,120 Speaker 1: have a deal. I lost money last night betting on 256 00:13:54,160 --> 00:13:57,200 Speaker 1: the Dodgers. It comes being I'm Hailey, Corfax told me 257 00:13:57,280 --> 00:14:00,160 Speaker 1: to go along Dodgers and I got crushed. Can make 258 00:14:00,200 --> 00:14:02,840 Speaker 1: it back on dollar pay? So is there a directional 259 00:14:02,880 --> 00:14:05,000 Speaker 1: Deutsche Bank a way for me to make that trade back? 260 00:14:06,280 --> 00:14:12,600 Speaker 1: That's not the one I would recommend everybody. Which trade? 261 00:14:12,720 --> 00:14:16,280 Speaker 1: Which trade can I use for immediate alpha? Yeah? Well, look, 262 00:14:16,360 --> 00:14:18,720 Speaker 1: I think you know, if you were looking in Latin America, 263 00:14:18,800 --> 00:14:21,440 Speaker 1: I'd much prefer the idea that you'd go to the 264 00:14:21,600 --> 00:14:25,200 Speaker 1: Brazilian real because that's you know, it's more stable, it's 265 00:14:25,560 --> 00:14:28,240 Speaker 1: it's got decent healed and I think you're gonna earn 266 00:14:28,280 --> 00:14:32,560 Speaker 1: your carry on long Brazilian rail versus US dollar. Yeah. 267 00:14:32,600 --> 00:14:35,560 Speaker 1: And and the yen Colin of the twins put that 268 00:14:35,600 --> 00:14:37,800 Speaker 1: trade in. Please if if we lose money on it, 269 00:14:38,080 --> 00:14:41,680 Speaker 1: take it out of Hailey kofax is Uh Pacheck Dodgers 270 00:14:41,720 --> 00:14:45,080 Speaker 1: Cubs CUB three to two over the Dodgers. Allen Ruskin, 271 00:14:45,200 --> 00:14:48,520 Speaker 1: thank you so much for wisdom across assets and particularly 272 00:14:48,520 --> 00:14:51,880 Speaker 1: on foreign exchange. He is with Deutsche Bank. Stay with us. 273 00:14:52,200 --> 00:15:08,480 Speaker 1: This is Bloomberg. Dennis Gartman tried to buy Kansas City 274 00:15:08,480 --> 00:15:13,080 Speaker 1: wheat in the depths of the crash, of honored that 275 00:15:13,160 --> 00:15:16,480 Speaker 1: he would join us. Uh this morning, Uh, Dennis, I 276 00:15:17,120 --> 00:15:20,680 Speaker 1: think within your beautiful essay we can go to when 277 00:15:20,760 --> 00:15:23,840 Speaker 1: the shift occurred. For me, it was about two pm, 278 00:15:23,880 --> 00:15:27,760 Speaker 1: maybe one thirty in the afternoon, where we took out 279 00:15:27,800 --> 00:15:32,360 Speaker 1: paper tickets and started buying those of us courage and 280 00:15:32,720 --> 00:15:35,840 Speaker 1: courageous enough to know the underlying economics. And we didn't 281 00:15:35,840 --> 00:15:38,480 Speaker 1: know for four four days if our trades were filled. 282 00:15:38,680 --> 00:15:40,960 Speaker 1: What did you do at two pm on the day 283 00:15:40,960 --> 00:15:46,360 Speaker 1: of the crash? Threw up a lot of people were 284 00:15:46,400 --> 00:15:49,880 Speaker 1: doing up. Yeah, it wasn't It was an incredible day, 285 00:15:49,880 --> 00:15:52,200 Speaker 1: and as I was trying to explain this morning in 286 00:15:52,240 --> 00:15:55,080 Speaker 1: my commentary, I knew what was going to happen. On 287 00:15:55,080 --> 00:15:58,200 Speaker 1: Friday afternoon. I was with some friends from North Carolina State. 288 00:15:58,200 --> 00:16:00,560 Speaker 1: We were going to a football game, and we were 289 00:16:00,760 --> 00:16:03,080 Speaker 1: we checked in on our phone because our phone started ringing. 290 00:16:03,120 --> 00:16:06,720 Speaker 1: The doll was down a hundred on Friday afternoon before 291 00:16:06,760 --> 00:16:09,120 Speaker 1: the crash, and people don't think much about a hundred 292 00:16:09,160 --> 00:16:11,280 Speaker 1: points now, but then that was the first time the 293 00:16:11,360 --> 00:16:13,200 Speaker 1: doll had ever fallen by a hundred, and I was 294 00:16:13,240 --> 00:16:16,360 Speaker 1: worried about what was going to happen Monday with what 295 00:16:16,440 --> 00:16:19,880 Speaker 1: we now know. Who became the problem with portfolio insurance 296 00:16:20,320 --> 00:16:21,920 Speaker 1: because you knew that there were going to be a 297 00:16:22,000 --> 00:16:24,120 Speaker 1: huge amount of cell orders coming in. What was I 298 00:16:24,160 --> 00:16:27,240 Speaker 1: doing Tuesday or Monday afternoon? Like I said, I was 299 00:16:27,280 --> 00:16:30,520 Speaker 1: throwing up. It was an incredible experience, one I shall 300 00:16:30,520 --> 00:16:33,120 Speaker 1: never forget, and one that's still here thirty years later. 301 00:16:33,680 --> 00:16:36,400 Speaker 1: Colors how I think about everything because I'm always worried 302 00:16:36,400 --> 00:16:38,600 Speaker 1: that we may have yet another one of those again. 303 00:16:38,720 --> 00:16:42,120 Speaker 1: I strongly agree with that, But to carry forward here 304 00:16:42,200 --> 00:16:46,920 Speaker 1: down twenty six is a bear market? Ten percent is 305 00:16:46,960 --> 00:16:50,960 Speaker 1: a correction? Or with the structure of our economy and 306 00:16:51,000 --> 00:16:54,240 Speaker 1: finance today, Uh, Dennis Gartman, do you have to put 307 00:16:54,280 --> 00:16:56,480 Speaker 1: a new number on a bear market if it's not, 308 00:16:57,880 --> 00:17:00,600 Speaker 1: if it's not eighteen percent, what's a bear mark? In 309 00:17:00,640 --> 00:17:05,040 Speaker 1: two oh? I think actually that we give it much 310 00:17:05,080 --> 00:17:07,960 Speaker 1: too much leeway saying that you have to be down 311 00:17:08,720 --> 00:17:11,840 Speaker 1: before you constituted as a bear market. You can actually 312 00:17:11,880 --> 00:17:14,880 Speaker 1: have a bear market started much earlier than that. If 313 00:17:14,920 --> 00:17:17,440 Speaker 1: you have one failed to go to new highs to 314 00:17:17,800 --> 00:17:20,600 Speaker 1: take out a previous low. You could have the start 315 00:17:20,680 --> 00:17:22,960 Speaker 1: of a bear market if you were only down five percent. 316 00:17:23,000 --> 00:17:25,199 Speaker 1: It's just a matter of how much farther down you 317 00:17:25,240 --> 00:17:29,360 Speaker 1: can go once down gets started. But what's the kount 318 00:17:29,440 --> 00:17:31,800 Speaker 1: What what constitutes today? I guess I'll still go with 319 00:17:32,680 --> 00:17:35,520 Speaker 1: and say when we're down, the public will have become 320 00:17:35,560 --> 00:17:38,960 Speaker 1: concerned that prices may go down further. I want to 321 00:17:39,000 --> 00:17:40,359 Speaker 1: go back to something you just said, which is it 322 00:17:40,520 --> 00:17:42,639 Speaker 1: it really shaped the way that you think about the 323 00:17:42,680 --> 00:17:45,280 Speaker 1: markets and think about investing. How did it change your 324 00:17:45,320 --> 00:17:50,520 Speaker 1: sense of the irrationality of markets? Prior to that time, 325 00:17:50,560 --> 00:17:53,800 Speaker 1: I was a believer that markets were rational until that time, 326 00:17:53,840 --> 00:17:56,760 Speaker 1: I actually did believe that markets probably could remain rational. 327 00:17:56,880 --> 00:17:59,800 Speaker 1: After that time, I understood that irrationality can break out 328 00:17:59,800 --> 00:18:02,280 Speaker 1: it almost any one period of time. And in the 329 00:18:02,320 --> 00:18:05,280 Speaker 1: words of my my good friend Gary showing, the market 330 00:18:05,320 --> 00:18:09,119 Speaker 1: can remain irrational longer than you can remain solvent, and 331 00:18:09,240 --> 00:18:11,399 Speaker 1: my corollary to that, as the market will return to 332 00:18:11,480 --> 00:18:15,560 Speaker 1: rationality the moment you have been rendered insolvent. Let's talk 333 00:18:15,600 --> 00:18:17,680 Speaker 1: a bit about the stock market here. We've been mentioning 334 00:18:17,680 --> 00:18:19,919 Speaker 1: this throughout the show. That we hit twenty three thousand 335 00:18:19,960 --> 00:18:23,119 Speaker 1: on the Dow yesterday. You're right, this morning prices may 336 00:18:23,119 --> 00:18:27,280 Speaker 1: be egregiously, preposterously, dangerously, unimaginably overextended to the upside, but 337 00:18:27,320 --> 00:18:30,800 Speaker 1: they may become even more preposterously, even more dangerously, even 338 00:18:30,800 --> 00:18:34,120 Speaker 1: more unimaginably overextended to the upside before they turn lower. 339 00:18:34,160 --> 00:18:36,480 Speaker 1: How do you react to the highest that we're seeing, Dennis, 340 00:18:37,720 --> 00:18:43,960 Speaker 1: When they start bringing out the hats for the thousand, 341 00:18:44,720 --> 00:18:48,040 Speaker 1: three thousands, you almost become it's as you just did. 342 00:18:48,320 --> 00:18:53,760 Speaker 1: It's almost laughable. The market is ridiculously overpriced. It has 343 00:18:53,840 --> 00:18:56,679 Speaker 1: been for several weeks, it has been for several months. 344 00:18:57,680 --> 00:19:00,680 Speaker 1: Perhaps today, perhaps yesterday was a high who knows, only 345 00:19:00,680 --> 00:19:03,720 Speaker 1: time shall tell, but it does look a little precarious 346 00:19:03,720 --> 00:19:06,280 Speaker 1: this morning. I guess some of the weakness can be 347 00:19:06,280 --> 00:19:10,600 Speaker 1: attributed to the promised extent in Spain and Catalonia. But 348 00:19:11,480 --> 00:19:15,159 Speaker 1: here here, nonetheless, we're down and we're not bouncing today, 349 00:19:15,320 --> 00:19:19,400 Speaker 1: and that is that alone is concerting. Do I think 350 00:19:19,400 --> 00:19:21,560 Speaker 1: that the market can make new highs? No, I really 351 00:19:21,600 --> 00:19:25,040 Speaker 1: don't um but is it possible. It's possible, but I 352 00:19:25,040 --> 00:19:27,640 Speaker 1: don't think it shall Debnis Garment. I spoke to Colne 353 00:19:27,720 --> 00:19:29,879 Speaker 1: resident this week and went through the usual litany of 354 00:19:29,880 --> 00:19:33,199 Speaker 1: optimism and some of the things pushing against it. And 355 00:19:33,240 --> 00:19:35,480 Speaker 1: one thing I mentioned, I'm looking out into two thousand 356 00:19:35,600 --> 00:19:39,080 Speaker 1: eighteen is on the edge of Jack Welch, the idea 357 00:19:39,160 --> 00:19:42,479 Speaker 1: of we lose pricing power, and I'm frankly focusing this 358 00:19:42,520 --> 00:19:45,240 Speaker 1: in where areas were at the revenue line. You've got 359 00:19:45,320 --> 00:19:49,000 Speaker 1: unit dynamics and price dynamics, and there's something in the wind. 360 00:19:49,040 --> 00:19:53,760 Speaker 1: There's something changed. Do you agree with that? Uh, it's 361 00:19:53,520 --> 00:19:56,199 Speaker 1: it's it feels like that this morning, suddenly out of 362 00:19:56,240 --> 00:20:01,520 Speaker 1: nowhere has come rather rather agreed his price weakness today 363 00:20:01,560 --> 00:20:04,160 Speaker 1: could be a very important day. Let's be blunt if 364 00:20:04,200 --> 00:20:06,880 Speaker 1: you don't rally. And in the past, we've had these 365 00:20:06,920 --> 00:20:09,000 Speaker 1: mornings where the Dow was down a hundred, where the 366 00:20:09,080 --> 00:20:11,640 Speaker 1: SMP was down fifteen, where the mask Act was down 367 00:20:11,680 --> 00:20:14,639 Speaker 1: forty or fifty, and by ten thirty or eleven o'clock 368 00:20:15,119 --> 00:20:17,639 Speaker 1: we were staging a rally and heading for new highs. 369 00:20:17,800 --> 00:20:20,760 Speaker 1: If it doesn't do that today, the game has changed. 370 00:20:21,920 --> 00:20:23,440 Speaker 1: Are you willing to put money on that? I mean, 371 00:20:23,440 --> 00:20:25,800 Speaker 1: the great acclaim of Dennis Gartman is he actually shows 372 00:20:26,119 --> 00:20:28,720 Speaker 1: his trades in the back. I believe Dennis in your 373 00:20:28,760 --> 00:20:32,360 Speaker 1: Morning note, there's no equity trades. It's the usual gold malarkey. 374 00:20:32,480 --> 00:20:35,560 Speaker 1: And you and your commodity of fixation and better North 375 00:20:35,600 --> 00:20:39,040 Speaker 1: Carolina football? Are you going to institute an equity trade? 376 00:20:39,040 --> 00:20:40,639 Speaker 1: We got to get out in front of this and 377 00:20:40,680 --> 00:20:45,399 Speaker 1: make news at Bloomberg Surveillance. Well, actually, late yesterday afternoon, 378 00:20:45,440 --> 00:20:47,959 Speaker 1: I'll find things on my own before I'll put them 379 00:20:47,960 --> 00:20:50,560 Speaker 1: in the newsletter, just to test the water. And I 380 00:20:50,600 --> 00:20:54,600 Speaker 1: bought a few puts yesterday afternoon, not many, just a few. 381 00:20:55,080 --> 00:20:57,480 Speaker 1: I gave an order to my to the young man 382 00:20:57,480 --> 00:20:59,080 Speaker 1: who works on me back home. I'm not I'm an 383 00:20:59,119 --> 00:21:02,280 Speaker 1: akron this morning for an endowment committee meeting, but I 384 00:21:02,280 --> 00:21:04,400 Speaker 1: gave him a note saying, if we don't rally by 385 00:21:04,400 --> 00:21:06,600 Speaker 1: and buy some more puts, if we are still down 386 00:21:07,000 --> 00:21:09,679 Speaker 1: by the end of the day, I'll probably officially come 387 00:21:09,680 --> 00:21:12,159 Speaker 1: out tomorrow and say, let's buy some puts. Do you 388 00:21:12,200 --> 00:21:15,280 Speaker 1: place your orders through MC trucks, spread and whatever the 389 00:21:15,400 --> 00:21:17,920 Speaker 1: name is. I mean, do you get taken on put 390 00:21:17,920 --> 00:21:22,280 Speaker 1: options like the rest of us? No? No, not really. 391 00:21:22,320 --> 00:21:25,200 Speaker 1: I mean there's there's the liquidity, and the puts is 392 00:21:25,240 --> 00:21:28,160 Speaker 1: really quite magnificent. So you know, I don't trade large 393 00:21:28,160 --> 00:21:30,520 Speaker 1: twenty and thirty and forty lots of the time. I 394 00:21:30,520 --> 00:21:34,000 Speaker 1: don't trade thousand lots, but thirty and forty you can 395 00:21:34,040 --> 00:21:35,639 Speaker 1: get a good price within a penny or two of 396 00:21:35,680 --> 00:21:37,399 Speaker 1: what you saw last on the screen. And for me, 397 00:21:37,440 --> 00:21:41,880 Speaker 1: that's that's quote David David Doug cast just fell off 398 00:21:41,880 --> 00:21:45,520 Speaker 1: his chair in Florida. He knows Gartman's starting order is 399 00:21:45,600 --> 00:21:51,280 Speaker 1: five thousand. That's his odd lots. Spurious spurious allegations. Dennis, 400 00:21:51,480 --> 00:21:54,000 Speaker 1: I love the I love the occasional estery in your 401 00:21:54,040 --> 00:21:56,200 Speaker 1: your letter, and this morning you write about the importance 402 00:21:56,200 --> 00:21:58,880 Speaker 1: of the Kiwi dollar. Why are you watching the Kiwi 403 00:21:59,000 --> 00:22:03,480 Speaker 1: dollar this morning? Because something strange has happened there. Politically, 404 00:22:04,880 --> 00:22:10,480 Speaker 1: New Zealand has been governed by a reasonably adroit center 405 00:22:10,640 --> 00:22:13,919 Speaker 1: right UH Nationalist Party as they're called. They've done a 406 00:22:14,000 --> 00:22:18,119 Speaker 1: very nice job. But suddenly the Labor Party, which is 407 00:22:18,200 --> 00:22:20,359 Speaker 1: far left, the Young Lady, has taken the reins of 408 00:22:20,400 --> 00:22:24,520 Speaker 1: the Labor Party, got within about five percent of the Nationals, 409 00:22:24,600 --> 00:22:29,600 Speaker 1: and a very strange fellow, Winston Peters, who is trade 410 00:22:29,600 --> 00:22:32,680 Speaker 1: protectionist of the first to order and I think a 411 00:22:32,760 --> 00:22:35,320 Speaker 1: very dangerous fellow, got about fourteen percent of the vote 412 00:22:35,320 --> 00:22:39,000 Speaker 1: and he cast his lot with the left. Suddenly you 413 00:22:39,040 --> 00:22:43,159 Speaker 1: now have a very far left, trade protectionist government in 414 00:22:43,200 --> 00:22:46,800 Speaker 1: New Zealand which is archly different, archly changed. And the 415 00:22:46,840 --> 00:22:49,400 Speaker 1: New Zealand dollar got colabored on that that I find 416 00:22:49,400 --> 00:22:51,639 Speaker 1: to be very dangerous because New Zealand has been a 417 00:22:51,760 --> 00:22:56,240 Speaker 1: very a solid, stable country. Suddenly it looks unstable that 418 00:22:56,359 --> 00:22:58,840 Speaker 1: I find disconcerting. So to send this up your strong 419 00:22:59,040 --> 00:23:02,840 Speaker 1: US dollar, we New Zealand dollar, Yeah, you should be. 420 00:23:03,359 --> 00:23:06,160 Speaker 1: This is a change. This is a very material change 421 00:23:06,200 --> 00:23:09,440 Speaker 1: in governance in New Zealand and in the past, as 422 00:23:09,440 --> 00:23:12,400 Speaker 1: I said, New Zealand has always been an interesting place. 423 00:23:12,440 --> 00:23:15,679 Speaker 1: They were the first place that really aggressively cut tax 424 00:23:15,720 --> 00:23:18,520 Speaker 1: revenues to prove that you could cut revenue, cut tax, 425 00:23:19,160 --> 00:23:22,880 Speaker 1: cut tax rates and take in more revenues. They they've 426 00:23:22,920 --> 00:23:27,000 Speaker 1: been an experimental point and when New Zealand changes, I 427 00:23:27,119 --> 00:23:30,280 Speaker 1: pay attention. Good morning to Julian Robertson. Hope you're listening. 428 00:23:30,320 --> 00:23:33,520 Speaker 1: I'll let Mr Robertson figure out what to do with Kiwi. 429 00:23:33,720 --> 00:23:38,119 Speaker 1: David grew a massive surveillance correction. I was suggesting that 430 00:23:38,200 --> 00:23:43,680 Speaker 1: someone on our Bloomberg surveillance team was from New Zealand. Um, 431 00:23:43,720 --> 00:23:46,840 Speaker 1: I don't really, I don't get. I don't use anything 432 00:23:46,880 --> 00:23:50,320 Speaker 1: under the Southern Hemisphere. I don't get starting with the Philippines. 433 00:23:50,400 --> 00:23:55,920 Speaker 1: But I would suggest that I greatly insulted Mr Bickannan. Yes, 434 00:23:56,080 --> 00:23:58,560 Speaker 1: I don't know where he's from. Maybe one of those 435 00:23:58,600 --> 00:24:01,760 Speaker 1: islands with penguins on it down there. He's not from 436 00:24:01,800 --> 00:24:03,960 Speaker 1: New Zealand and of the world. We don't know. Good morning, 437 00:24:04,280 --> 00:24:07,320 Speaker 1: christ Church. I'm sorry I made a mistake. You're apologizing 438 00:24:07,359 --> 00:24:11,040 Speaker 1: to them for making us very good? All right, why 439 00:24:11,080 --> 00:24:13,240 Speaker 1: don't you bring into this gartment with this here editor 440 00:24:13,240 --> 00:24:15,719 Speaker 1: and publisher, the Gartment letter for another block and down. 441 00:24:15,880 --> 00:24:18,800 Speaker 1: We got to talk about commodities some here. The last 442 00:24:18,840 --> 00:24:20,480 Speaker 1: time you were on, we've just been through the third 443 00:24:20,520 --> 00:24:22,760 Speaker 1: of these three hurricanes that we've experienced over these last 444 00:24:22,920 --> 00:24:24,680 Speaker 1: many months. What's the fallout of the band as you 445 00:24:24,720 --> 00:24:26,159 Speaker 1: look at cotton, as you look at oil, as you 446 00:24:26,200 --> 00:24:28,440 Speaker 1: look at other commodities. How much of an impact that 447 00:24:28,520 --> 00:24:33,480 Speaker 1: those three storms have on the complex? None? Nothing, nothing. 448 00:24:33,600 --> 00:24:37,359 Speaker 1: It had absolutely nothing. It had impact upon refineries, It 449 00:24:37,440 --> 00:24:41,320 Speaker 1: had impact upon the crude oil production facilities for a while, 450 00:24:41,400 --> 00:24:43,600 Speaker 1: but didn't have any impact upon the corn market. No, 451 00:24:43,800 --> 00:24:47,440 Speaker 1: didn't have any impact upon the soybean market. Marginally, didn't 452 00:24:47,480 --> 00:24:50,239 Speaker 1: have any impact at all upon cotton for a day 453 00:24:50,359 --> 00:24:52,280 Speaker 1: or two, and that certainly went away. So there's been 454 00:24:52,359 --> 00:24:56,040 Speaker 1: absolutely no impact from the hurricanes. There was some concern 455 00:24:56,280 --> 00:24:59,040 Speaker 1: several days ago that you might get an early frost 456 00:24:59,119 --> 00:25:00,600 Speaker 1: out on the high plane it's Texas and in some 457 00:25:00,720 --> 00:25:02,879 Speaker 1: of the parts in the Midwest, and it might delay 458 00:25:02,960 --> 00:25:04,959 Speaker 1: the harvest of corn and soybeans, But even that has 459 00:25:05,040 --> 00:25:07,440 Speaker 1: gone the way of all flesh. So the impact has 460 00:25:07,480 --> 00:25:12,320 Speaker 1: been marginal at best and almost non existent. Uh. We 461 00:25:12,400 --> 00:25:14,719 Speaker 1: were talking about the Keywi dollars mentioning estery a moment ago. 462 00:25:14,720 --> 00:25:16,440 Speaker 1: You're right about Egypt in this morning. So this is 463 00:25:16,480 --> 00:25:19,520 Speaker 1: fascinating to me as well. On the subject of wheat. Uh, 464 00:25:20,359 --> 00:25:23,200 Speaker 1: Egypt had been a huge market here and no longer 465 00:25:23,400 --> 00:25:24,639 Speaker 1: is What are we seeing there and what does that 466 00:25:24,720 --> 00:25:28,320 Speaker 1: mean for the global market. Well, what's interesting is people 467 00:25:28,400 --> 00:25:30,560 Speaker 1: don't realize. I mean, first of all, wheat production in 468 00:25:30,600 --> 00:25:34,240 Speaker 1: the world is still the largest employer of any business 469 00:25:34,320 --> 00:25:38,200 Speaker 1: in the world. Uh, it's it's an interesting statistic. Wheat 470 00:25:38,320 --> 00:25:41,159 Speaker 1: is the most important food in the world, and in 471 00:25:41,280 --> 00:25:45,359 Speaker 1: the past, for many, many years, Egypt was Egypt has 472 00:25:45,359 --> 00:25:48,000 Speaker 1: always been the world's largest net importer on a national 473 00:25:48,040 --> 00:25:50,760 Speaker 1: basis of wheat, and they were our best client for 474 00:25:50,800 --> 00:25:53,800 Speaker 1: many years. They have ceased to be. They actually last 475 00:25:53,880 --> 00:25:56,159 Speaker 1: year where the number thirty seven buyer of of of 476 00:25:56,240 --> 00:25:59,040 Speaker 1: wheat from the United States. They didn't take any until 477 00:25:59,200 --> 00:26:01,720 Speaker 1: in May of this year, which is unusual, and we 478 00:26:01,840 --> 00:26:04,360 Speaker 1: have lost that market to the Russians, to the Romanians, 479 00:26:04,400 --> 00:26:08,040 Speaker 1: to the Bulgarians, to the Black Sea States generally, to Australia, 480 00:26:08,119 --> 00:26:11,640 Speaker 1: to Canada. Perhaps it's the response of a stronger US 481 00:26:11,680 --> 00:26:14,440 Speaker 1: dollar in some instances, but even that's not to be 482 00:26:14,560 --> 00:26:17,280 Speaker 1: considered true any longer because the dollar hasn't been that strong. 483 00:26:17,920 --> 00:26:21,800 Speaker 1: It's just interesting that we have lost the the biggest 484 00:26:21,880 --> 00:26:24,400 Speaker 1: buyer on a consistent basis, and it maybe a while 485 00:26:24,480 --> 00:26:27,040 Speaker 1: before we get them back. And what's even more interesting, 486 00:26:27,560 --> 00:26:29,560 Speaker 1: we used to have a buying station there the U 487 00:26:29,720 --> 00:26:32,200 Speaker 1: s WEAD Associates, and they've actually closed their office, which 488 00:26:32,560 --> 00:26:34,200 Speaker 1: might well be a sign of the fact that the 489 00:26:34,240 --> 00:26:37,159 Speaker 1: worst is behind us. How are you watching these these 490 00:26:37,240 --> 00:26:41,080 Speaker 1: negotiations with Canada and Mexico unfold? I wondered the degree 491 00:26:41,080 --> 00:26:43,200 Speaker 1: to which that's weighing on commodities at this point, that 492 00:26:43,320 --> 00:26:45,880 Speaker 1: the prospect of the US pulling out of the North 493 00:26:45,920 --> 00:26:48,520 Speaker 1: American Free Trade Agreement changes to that deal at the 494 00:26:48,640 --> 00:26:52,920 Speaker 1: very least, what does that mean for for American commodities. Well, 495 00:26:53,200 --> 00:26:55,240 Speaker 1: first of all, I think that the idea of pulling 496 00:26:55,280 --> 00:26:57,080 Speaker 1: out of the NAFTA would be one of the silliest 497 00:26:57,119 --> 00:27:01,119 Speaker 1: ideas imaginable. All three countries, Hanada, the United States, and 498 00:27:01,200 --> 00:27:04,760 Speaker 1: Mexico have all been well served on balance and in 499 00:27:04,880 --> 00:27:08,000 Speaker 1: general terms by the NAFTA. Now, have there been some 500 00:27:08,200 --> 00:27:10,400 Speaker 1: industries in the United States where jobs have been lost, 501 00:27:10,480 --> 00:27:14,000 Speaker 1: of course, and those always get the headlines. Perhaps some 502 00:27:14,160 --> 00:27:16,080 Speaker 1: of the in the auto industry have been that way, 503 00:27:16,560 --> 00:27:19,400 Speaker 1: But on balance, it's been good for all three countries. 504 00:27:19,440 --> 00:27:21,399 Speaker 1: And to think that it and and and the press 505 00:27:21,480 --> 00:27:25,080 Speaker 1: always goes to the businesses that have lost jobs. They 506 00:27:25,160 --> 00:27:28,240 Speaker 1: never go to the businesses that have quietly picked up jobs. 507 00:27:28,880 --> 00:27:31,359 Speaker 1: I'm I'm a firm believer that doing away with NAFTA 508 00:27:31,400 --> 00:27:34,240 Speaker 1: would be an ill advised decision, but it has it 509 00:27:34,560 --> 00:27:37,600 Speaker 1: speaks well to the president's political base, and they want 510 00:27:37,640 --> 00:27:39,680 Speaker 1: to be done done away with. I think that would 511 00:27:39,680 --> 00:27:42,520 Speaker 1: be a very very bad decision. Do you have your 512 00:27:42,560 --> 00:27:46,919 Speaker 1: Sugar Bowl tickets yet? I mean, it's using to making jokes. 513 00:27:47,200 --> 00:27:53,160 Speaker 1: But and one North Carolina State folks as a bye 514 00:27:53,400 --> 00:27:56,760 Speaker 1: and then they have Notre Dame in a school named Clemson. 515 00:27:56,800 --> 00:28:01,639 Speaker 1: Am I pronounced correctly? David? You go? You are? You 516 00:28:01,800 --> 00:28:05,280 Speaker 1: got these two sorts coming up after after Clemson has 517 00:28:05,320 --> 00:28:07,320 Speaker 1: lost some of the some people are calling them Clemson 518 00:28:08,359 --> 00:28:10,240 Speaker 1: you have you've written a check for a million dollars 519 00:28:10,320 --> 00:28:12,359 Speaker 1: to the school or something to make this happen or 520 00:28:12,760 --> 00:28:15,240 Speaker 1: how did this miracle happen? Of six and one NC 521 00:28:15,440 --> 00:28:19,119 Speaker 1: State four and oh a MLB. I don't know, but 522 00:28:19,200 --> 00:28:22,439 Speaker 1: I believe in miracles, and let's thank goodness that's happened 523 00:28:22,480 --> 00:28:25,280 Speaker 1: this year. I was getting despondent after years of being 524 00:28:25,600 --> 00:28:28,120 Speaker 1: a doormat. For the first time in a long while, 525 00:28:28,240 --> 00:28:31,520 Speaker 1: we actually look good. No, let's leave it there, Dennis Garton, 526 00:28:31,640 --> 00:28:34,879 Speaker 1: thank you so much, Denni's honor to have you with this. 527 00:28:35,080 --> 00:28:38,640 Speaker 1: This October ninete really an historic It is John and 528 00:28:38,720 --> 00:28:42,320 Speaker 1: Jerry and mentioned on Twitter a really emotional day for 529 00:28:42,400 --> 00:28:45,840 Speaker 1: the people that actually lived through it. Thanks for that note, John, 530 00:28:59,000 --> 00:29:00,640 Speaker 1: David Girl, I want you to bring in our next guest, 531 00:29:00,680 --> 00:29:03,240 Speaker 1: but I want to say this clearly. What you usually 532 00:29:03,320 --> 00:29:05,400 Speaker 1: do in geography is start with the map. But it 533 00:29:05,480 --> 00:29:07,440 Speaker 1: may be a U. S. G S map, maybe this 534 00:29:07,640 --> 00:29:10,000 Speaker 1: map of that map. But what we know is within 535 00:29:10,080 --> 00:29:14,560 Speaker 1: the study of geography, all good work comes out of Scandinavia. 536 00:29:14,680 --> 00:29:17,200 Speaker 1: I really don't know why it is, but the Danes, 537 00:29:17,360 --> 00:29:22,080 Speaker 1: the Swedes, the Norwegians, but particularly Denmark. Denmark, Denmark owns 538 00:29:22,240 --> 00:29:25,880 Speaker 1: the high ground on the global study of human geography 539 00:29:26,320 --> 00:29:29,160 Speaker 1: and the economics of geography. And I'm thrilled that our 540 00:29:29,240 --> 00:29:32,720 Speaker 1: next guest carries that tradition forward. Go Sardia Mattsburg joins 541 00:29:32,760 --> 00:29:34,840 Speaker 1: us now. She's a managing director of the Rockefeller Foundation, 542 00:29:34,920 --> 00:29:37,200 Speaker 1: former senior vice president for Strategic Planning, at the New 543 00:29:37,240 --> 00:29:40,320 Speaker 1: York City Economic Development Corporation and what caught our eyes 544 00:29:40,320 --> 00:29:42,600 Speaker 1: a piece that she co authored for the Rockefeller Foundation, 545 00:29:42,640 --> 00:29:46,040 Speaker 1: also published on the Huffington Post, Fighting Wildfire with Finance. 546 00:29:46,080 --> 00:29:48,440 Speaker 1: As we continue to watch the fires raging in Wine 547 00:29:48,480 --> 00:29:51,400 Speaker 1: country in California, she joins us on our phone line, Saudia, 548 00:29:51,480 --> 00:29:53,600 Speaker 1: I looked at the San Francisco Chronicle this morning. That 549 00:29:53,680 --> 00:29:56,520 Speaker 1: newspaper has done incredible coverage of these fires and made 550 00:29:56,560 --> 00:29:58,240 Speaker 1: that coverage available for free to people who go to 551 00:29:58,280 --> 00:30:01,200 Speaker 1: the paper's website, and the edit torial this morning begins. 552 00:30:01,640 --> 00:30:03,920 Speaker 1: For years now, the U. S. Forest Service has been 553 00:30:03,960 --> 00:30:06,720 Speaker 1: forced to pill for firefighting funds from accounts for fire 554 00:30:06,840 --> 00:30:10,280 Speaker 1: prevention as more and more lands across the West burn. 555 00:30:10,320 --> 00:30:11,880 Speaker 1: And this gets to the heart of what you're writing 556 00:30:11,920 --> 00:30:15,200 Speaker 1: about and what the Rockefeller Foundation is doing. How big 557 00:30:15,240 --> 00:30:18,640 Speaker 1: a problem is this, the gamesmanship involving funds for fighting 558 00:30:18,720 --> 00:30:21,720 Speaker 1: and preventing fires. So thank you for having me on 559 00:30:21,800 --> 00:30:25,120 Speaker 1: the show, David. It is a really serious problem. If 560 00:30:25,200 --> 00:30:27,640 Speaker 1: you look at the development of the U. S. Forest 561 00:30:27,680 --> 00:30:32,920 Speaker 1: Service budget, Historically, UH prevention used to be, you know, 562 00:30:33,000 --> 00:30:36,040 Speaker 1: the biggest chunk of the budget. And by prevention, it's 563 00:30:36,080 --> 00:30:38,719 Speaker 1: basically going in and maintaining the health of our forest, 564 00:30:39,160 --> 00:30:43,280 Speaker 1: you know, taking away dead trees, um, doing controlled burns, 565 00:30:43,320 --> 00:30:46,200 Speaker 1: you know, things that keep the forest healthy and preventing 566 00:30:46,240 --> 00:30:49,720 Speaker 1: it from overgrown. Um. If you look at the budget today, 567 00:30:50,440 --> 00:30:55,080 Speaker 1: it accounts for roughly fifty of the spend. Not because 568 00:30:55,120 --> 00:30:57,600 Speaker 1: the US Force Service doesn't think that it's important to 569 00:30:57,640 --> 00:31:01,200 Speaker 1: do prevention anymore, but they're just so much under pressure 570 00:31:01,560 --> 00:31:04,280 Speaker 1: because of the fires that keep recurring year after year 571 00:31:04,760 --> 00:31:07,280 Speaker 1: and get you know, more and more out of control. 572 00:31:07,400 --> 00:31:10,440 Speaker 1: So they, you know, what used to be fifteen percent 573 00:31:10,520 --> 00:31:15,440 Speaker 1: of the budget is now So as the wrangling over 574 00:31:15,480 --> 00:31:17,960 Speaker 1: the budget goes on in Washington, d C. How you're 575 00:31:18,000 --> 00:31:21,040 Speaker 1: proposing a new way of paying for prevention. Tell us 576 00:31:21,040 --> 00:31:24,080 Speaker 1: a bit about the financial instrument that you've you've written 577 00:31:24,120 --> 00:31:26,680 Speaker 1: about in your piece and how that might effectively or 578 00:31:26,720 --> 00:31:28,760 Speaker 1: more effectively prevent the kind of fires that we're seeing 579 00:31:28,760 --> 00:31:32,520 Speaker 1: in California today. So the situations that we're facing, or 580 00:31:32,560 --> 00:31:34,760 Speaker 1: the US for Our Services facing, is that there's a 581 00:31:34,880 --> 00:31:37,360 Speaker 1: backlog when it comes to prevention that runs in the 582 00:31:37,440 --> 00:31:40,479 Speaker 1: tens of billions. So regardless of what ends up happening 583 00:31:40,640 --> 00:31:44,040 Speaker 1: with you know, next year's budget, that doesn't solve the problem. 584 00:31:44,080 --> 00:31:46,120 Speaker 1: The problem remains. You know, there may be a slight 585 00:31:46,200 --> 00:31:48,600 Speaker 1: budget card or you mean the budget may remain the same, 586 00:31:48,920 --> 00:31:50,920 Speaker 1: but that doesn't take away from the fact that there's 587 00:31:50,960 --> 00:31:53,800 Speaker 1: not enough money to go in and restore the forest. 588 00:31:54,120 --> 00:31:56,960 Speaker 1: So that we don't keep reading about wildfire situations in 589 00:31:57,000 --> 00:31:59,800 Speaker 1: northern California and the great devastation that they're causing era 590 00:32:00,080 --> 00:32:02,840 Speaker 1: the year after year. The idea that we have been 591 00:32:02,920 --> 00:32:06,000 Speaker 1: funding a company called Blue Force Conservation to look at 592 00:32:06,160 --> 00:32:09,560 Speaker 1: is how can you bring capital markets to bear? How 593 00:32:09,640 --> 00:32:12,080 Speaker 1: can you take finance and use it as a powerful 594 00:32:12,120 --> 00:32:15,000 Speaker 1: tool for good. So in a situation where the public 595 00:32:15,080 --> 00:32:17,920 Speaker 1: sector doesn't have the money or not putting up the 596 00:32:17,960 --> 00:32:20,840 Speaker 1: money to do this, and philanthropy doesn't have money in 597 00:32:20,880 --> 00:32:23,440 Speaker 1: the tens of billions of dollars to put against this problem, 598 00:32:23,840 --> 00:32:27,440 Speaker 1: can we create a regular financial product that would be 599 00:32:27,480 --> 00:32:31,080 Speaker 1: attractive to private investors so money can be raised. And 600 00:32:31,160 --> 00:32:33,280 Speaker 1: in this case, it's a debt product that would be 601 00:32:33,320 --> 00:32:36,560 Speaker 1: issued as a bond, the money from those proceeds used 602 00:32:36,600 --> 00:32:39,600 Speaker 1: to do the Force restoration work and and and the 603 00:32:39,760 --> 00:32:42,400 Speaker 1: private investors would get repaid over time as I would 604 00:32:42,440 --> 00:32:46,120 Speaker 1: with any other financial products. Are the incentives from insurance 605 00:32:46,600 --> 00:32:50,640 Speaker 1: adapting and adjusting like they have for hurricanes. Are the 606 00:32:50,800 --> 00:32:54,560 Speaker 1: tragedy of California. Will that be amended in the next 607 00:32:54,640 --> 00:32:57,400 Speaker 1: five to twenty years by insurance companies that say we're 608 00:32:57,440 --> 00:33:01,200 Speaker 1: not going to ensure this risk. So I think many 609 00:33:01,320 --> 00:33:04,640 Speaker 1: things need to happen in parallel term. I don't think 610 00:33:04,680 --> 00:33:07,240 Speaker 1: that it will just be the pressure from the insurance companies, 611 00:33:07,640 --> 00:33:10,000 Speaker 1: because that would just leave us in a situation where 612 00:33:10,040 --> 00:33:12,280 Speaker 1: somebody still has to put up the money. And if 613 00:33:12,280 --> 00:33:15,200 Speaker 1: the public sector doesn't have the money, then where do 614 00:33:15,320 --> 00:33:19,160 Speaker 1: we turn. Um. So, yes, that could help with the situation, 615 00:33:19,360 --> 00:33:22,320 Speaker 1: but that alone wouldn't solve the problem. I was I think, 616 00:33:22,360 --> 00:33:24,640 Speaker 1: I mean, I was looking at some of some numbers yesterday, 617 00:33:24,680 --> 00:33:26,800 Speaker 1: and when we look at the devastation, you know, it's 618 00:33:26,840 --> 00:33:29,720 Speaker 1: it's terrible to read about the fatalities and the people 619 00:33:29,800 --> 00:33:33,560 Speaker 1: that are still missing. But the economic losses are estimated 620 00:33:33,600 --> 00:33:36,280 Speaker 1: to be somewhere between three to six billion currently for 621 00:33:36,400 --> 00:33:39,960 Speaker 1: Northern California and growing um. And you know, it's also 622 00:33:40,040 --> 00:33:43,840 Speaker 1: worsening the state's housing supply crunch. Um there's an estimate 623 00:33:43,920 --> 00:33:46,040 Speaker 1: that the housing stock is going to drop by roughly 624 00:33:46,160 --> 00:33:50,040 Speaker 1: three percent. So those are deeply problematic issues. And yes, 625 00:33:50,160 --> 00:33:53,000 Speaker 1: the pressure from the insurance companies if they refuse to ensure, 626 00:33:53,160 --> 00:33:55,920 Speaker 1: would would you know, force us to address it? But 627 00:33:56,120 --> 00:33:58,240 Speaker 1: but more is needed. How do you respond, as a 628 00:33:58,280 --> 00:34:02,920 Speaker 1: grizzled McKinsey prone at the Rockefeller Foundation to the cynic 629 00:34:03,120 --> 00:34:05,200 Speaker 1: who says, look, we're building the houses where the mountain 630 00:34:05,280 --> 00:34:07,840 Speaker 1: lions used to be. What a surprise, mountain lions are 631 00:34:07,880 --> 00:34:11,520 Speaker 1: eating our dogs? Are we building houses and in fire 632 00:34:11,719 --> 00:34:15,440 Speaker 1: risk areas that we shouldn't be building? So we've been 633 00:34:15,480 --> 00:34:19,080 Speaker 1: doing that for dicades now, tom um and and that's 634 00:34:19,120 --> 00:34:22,600 Speaker 1: just the reality we find ourselves in. We have built 635 00:34:22,640 --> 00:34:26,279 Speaker 1: houses and structures closer and closer to nature, um and 636 00:34:26,400 --> 00:34:29,000 Speaker 1: we have not spent money taking care of the forest. 637 00:34:29,120 --> 00:34:32,520 Speaker 1: So we've left a lot of fuel in those forests, 638 00:34:32,600 --> 00:34:38,160 Speaker 1: which means when natural fires occur, they turn into wildfires. 639 00:34:38,520 --> 00:34:40,239 Speaker 1: And you know, we can't be in a situation where 640 00:34:40,280 --> 00:34:42,319 Speaker 1: we sit and hope that there's going to be rain 641 00:34:42,960 --> 00:34:45,400 Speaker 1: or that the winds are not going to pick up 642 00:34:45,480 --> 00:34:48,080 Speaker 1: so that the situation can come under control. We need 643 00:34:48,160 --> 00:34:51,320 Speaker 1: to be more active. And you know the public sector 644 00:34:51,360 --> 00:34:54,240 Speaker 1: doesn't have the budget. Let's look to the private markets. 645 00:34:54,680 --> 00:34:58,759 Speaker 1: How will that private market incentivize innovation or evolution in 646 00:34:58,840 --> 00:35:02,120 Speaker 1: the way that we fight fires like these. So the 647 00:35:02,360 --> 00:35:04,160 Speaker 1: U S for A Service, if you look at the 648 00:35:04,200 --> 00:35:10,040 Speaker 1: public sector, they recognize that investing in prevention is the 649 00:35:10,200 --> 00:35:12,000 Speaker 1: right thing to do. I mean, you can look a 650 00:35:12,040 --> 00:35:15,360 Speaker 1: lot at the numbers and the case adds up. It 651 00:35:15,520 --> 00:35:18,360 Speaker 1: costs forty times more to put out a fire that 652 00:35:18,520 --> 00:35:22,040 Speaker 1: it costs to prevent it. So you know the numbers 653 00:35:22,040 --> 00:35:24,120 Speaker 1: that there is. There's research that has been done on 654 00:35:24,320 --> 00:35:26,879 Speaker 1: cost avoidance where the U S FORUR Service has worked 655 00:35:26,920 --> 00:35:29,720 Speaker 1: with some of the NGOs in the space, the CRA 656 00:35:29,840 --> 00:35:33,799 Speaker 1: Nevada can Disermancy and the Nature Conservancy. So they recognize 657 00:35:33,840 --> 00:35:37,160 Speaker 1: it the challenges. How do you then take it from 658 00:35:37,280 --> 00:35:40,880 Speaker 1: that and turn it into something that's real and starts 659 00:35:40,920 --> 00:35:43,320 Speaker 1: to have an effect. It won't solve the problem in 660 00:35:43,360 --> 00:35:45,840 Speaker 1: a year. It's going to take years of work to 661 00:35:46,040 --> 00:35:48,920 Speaker 1: do it. Do it right under the governance of the 662 00:35:49,040 --> 00:35:51,680 Speaker 1: US for Service UM. But then we'll get to a 663 00:35:51,719 --> 00:35:54,120 Speaker 1: better place where we don't see the situations that we've 664 00:35:54,160 --> 00:35:56,840 Speaker 1: been reading about this year and last year as well. Sardi, 665 00:35:56,880 --> 00:35:58,920 Speaker 1: thank you very much, appreciate the time to the Sunny Martsburg. 666 00:35:58,960 --> 00:36:01,520 Speaker 1: She say managing direct at the Rockefeller Foundation, as Tom mentioned, 667 00:36:01,560 --> 00:36:04,920 Speaker 1: and McKenzie Alumna, former Senior vice president for Strategic Planning 668 00:36:04,920 --> 00:36:07,120 Speaker 1: at the New York City Economic Development Corporation, and the 669 00:36:07,360 --> 00:36:09,400 Speaker 1: bond that she was talking about through the Forest Resilience 670 00:36:09,400 --> 00:36:21,160 Speaker 1: Impact Bonds. You joined us on our phone lines. Thanks 671 00:36:21,200 --> 00:36:25,319 Speaker 1: for listening to the Bloomberg Surveillance podcast. Subscribe and listen 672 00:36:25,400 --> 00:36:31,040 Speaker 1: to interviews on Apple Podcasts, SoundCloud, or whichever podcast platform 673 00:36:31,120 --> 00:36:34,400 Speaker 1: you prefer. I'm on Twitter at Tom Keene. David Gura 674 00:36:34,960 --> 00:36:38,640 Speaker 1: is at David Gura. Before the podcast, you can always 675 00:36:38,719 --> 00:36:41,399 Speaker 1: catch us worldwide. I'm Bloomberg Radio