1 00:00:12,640 --> 00:00:15,600 Speaker 1: This is Wall Street Week. I'm David Weston bringing you 2 00:00:15,680 --> 00:00:19,480 Speaker 1: stories of capitalism. The message in the jobs numbers last 3 00:00:19,560 --> 00:00:23,759 Speaker 1: month was disappointing and surprising, so President Trump fired the 4 00:00:23,800 --> 00:00:27,040 Speaker 1: messenger doesn't have a point and is his approach the 5 00:00:27,160 --> 00:00:31,200 Speaker 1: right one to make sure we can trust those jobs numbers. Plus, 6 00:00:31,320 --> 00:00:34,240 Speaker 1: we go to Australia to see the effects of soaring 7 00:00:34,320 --> 00:00:37,199 Speaker 1: goal prices on mining there and what miners are going 8 00:00:37,240 --> 00:00:40,400 Speaker 1: to do with all those profits. And we bring you 9 00:00:40,440 --> 00:00:43,800 Speaker 1: the story of the huge Indian retail derivatives market that 10 00:00:43,920 --> 00:00:46,559 Speaker 1: got Jane Street into trouble. What does it tell us 11 00:00:46,560 --> 00:00:50,360 Speaker 1: about the Indian capital markets overall, and what does India's 12 00:00:50,440 --> 00:00:54,240 Speaker 1: real economy need from those markets. But we start with 13 00:00:54,280 --> 00:00:57,920 Speaker 1: the continuing battle over the Federal Reserve, as President Trump 14 00:00:58,000 --> 00:01:02,080 Speaker 1: insists that Governor Lisa Cook must go and ms Cook 15 00:01:02,160 --> 00:01:05,080 Speaker 1: refuses to leave, even as the President's nomin need to 16 00:01:05,160 --> 00:01:09,920 Speaker 1: replace another governor heads towards Senate confirmation. Our special contributor 17 00:01:10,000 --> 00:01:14,280 Speaker 1: Larry Summers has consistently expressed his concerns about FED independence, 18 00:01:14,680 --> 00:01:19,520 Speaker 1: but so far the markets have been calm, so Larry 19 00:01:19,880 --> 00:01:23,880 Speaker 1: continued focus on the Federal Reserve as their proceedings of 20 00:01:23,959 --> 00:01:27,959 Speaker 1: respect to Governor Cook, Lisa Cook as president, trups tried 21 00:01:28,000 --> 00:01:30,639 Speaker 1: to fire even as they try to appoint Stephen Myron 22 00:01:30,680 --> 00:01:32,720 Speaker 1: to come in. What is the significance of what's going 23 00:01:32,760 --> 00:01:34,600 Speaker 1: on right now with the Federal Reserve. 24 00:01:35,560 --> 00:01:38,400 Speaker 2: I think we're on the foothills of a credibility crisis. 25 00:01:39,520 --> 00:01:44,560 Speaker 2: We're not there yet because people believe that ultimately US 26 00:01:45,160 --> 00:01:52,600 Speaker 2: institutions endure and succeed. But between the President's demand the 27 00:01:52,760 --> 00:01:56,880 Speaker 2: interest rates be cut by three percentage points, which no 28 00:01:57,040 --> 00:02:03,480 Speaker 2: economist anywhere has endorsed any idea of that kind, between 29 00:02:03,520 --> 00:02:10,040 Speaker 2: the harshness of the President's rhetoric vis a vis Chairman Powell, 30 00:02:10,919 --> 00:02:17,680 Speaker 2: between the extraordinary efforts to fire a sitting FED governor 31 00:02:18,200 --> 00:02:23,600 Speaker 2: with no kind of due process surrounding the fore cause provision, 32 00:02:24,560 --> 00:02:30,280 Speaker 2: between the ominous rhetoric about hijacking the process for choosing 33 00:02:30,880 --> 00:02:38,880 Speaker 2: local presidents of the regional federal reserves, between rumors about 34 00:02:39,200 --> 00:02:46,480 Speaker 2: other members of the Fed Board. We are in completely 35 00:02:46,600 --> 00:02:53,080 Speaker 2: unprecedented territory. There hasn't yet been a dramatic market reaction. 36 00:02:53,320 --> 00:02:58,160 Speaker 2: There are some concerning things in markets, not just one 37 00:02:58,240 --> 00:03:03,720 Speaker 2: year ahead, but one year one year ahead. Inflation expectations 38 00:03:04,040 --> 00:03:08,480 Speaker 2: are trending up a bit. The spread between the thirty 39 00:03:08,560 --> 00:03:11,720 Speaker 2: year bond and the ten year bond is larger than 40 00:03:11,960 --> 00:03:19,600 Speaker 2: any time since COVID, but we haven't seen substantial reactions 41 00:03:19,639 --> 00:03:26,240 Speaker 2: in markets yet. But this could turn very quickly if 42 00:03:26,320 --> 00:03:31,919 Speaker 2: the psychology changes, and so frankly, I think we are 43 00:03:32,360 --> 00:03:39,000 Speaker 2: playing with fire in terms of inflation expectations, a situation 44 00:03:39,280 --> 00:03:43,560 Speaker 2: made much worse by the fact that the United States, 45 00:03:43,760 --> 00:03:48,240 Speaker 2: unless we get a big break in terms of artificial 46 00:03:48,320 --> 00:03:55,160 Speaker 2: intelligence or other technology, really has a very problematic fiscal picture. 47 00:03:56,600 --> 00:03:58,720 Speaker 1: One of the questions some accounts is is does it 48 00:03:58,800 --> 00:04:01,640 Speaker 1: make that much of a difference have one person on 49 00:04:01,680 --> 00:04:03,600 Speaker 1: the FED or two people on the FED. Part of 50 00:04:03,600 --> 00:04:07,000 Speaker 1: the strength of the institution is the FMC is a 51 00:04:07,040 --> 00:04:10,040 Speaker 1: group of people, and so one or two people alone 52 00:04:10,080 --> 00:04:11,360 Speaker 1: cannot really change the direction. 53 00:04:12,160 --> 00:04:17,880 Speaker 2: That may be right, But what the President is talking about, 54 00:04:17,920 --> 00:04:25,160 Speaker 2: what he's explicitly scheming about on his truth social account 55 00:04:25,279 --> 00:04:29,440 Speaker 2: and in some of his rhetoric, is getting a majority 56 00:04:29,480 --> 00:04:33,080 Speaker 2: of the Board of Governors and using that majority on 57 00:04:33,120 --> 00:04:37,640 Speaker 2: the Board of Governors to force a majority on the 58 00:04:37,640 --> 00:04:43,960 Speaker 2: Federal Open Market Committee by controlling the appointment of regional feds. 59 00:04:44,520 --> 00:04:49,800 Speaker 2: So this is not a one and done thing involving 60 00:04:50,120 --> 00:04:55,920 Speaker 2: just the chairman. This is an attack on the governance 61 00:04:56,320 --> 00:05:06,200 Speaker 2: of the institution. Part of what is really disturbing to me, 62 00:05:07,800 --> 00:05:18,640 Speaker 2: there have been a long tradition of distinguished Republican leaders 63 00:05:19,160 --> 00:05:24,600 Speaker 2: who have stood up for the importance of inflation credibility, 64 00:05:25,040 --> 00:05:30,719 Speaker 2: who have stood up for the independence of the FED. 65 00:05:31,360 --> 00:05:38,719 Speaker 2: I particularly admired Senator Pat Toomey when he was on 66 00:05:39,120 --> 00:05:44,360 Speaker 2: the Banking Committee for his efforts, but there were others. 67 00:05:44,680 --> 00:05:49,240 Speaker 2: There was an effort made to deny a nomination when 68 00:05:49,320 --> 00:05:54,040 Speaker 2: President Obama made it to Nobel Prize winner Peter Diamond 69 00:05:54,480 --> 00:06:00,400 Speaker 2: because he wasn't steeped enough in monetary policy and respect 70 00:06:00,640 --> 00:06:07,120 Speaker 2: for the independence of the Federal of the Federal Reserve. 71 00:06:08,160 --> 00:06:15,120 Speaker 2: And yet here when we're talking about the wholesale politicization 72 00:06:15,960 --> 00:06:24,400 Speaker 2: of the FED, there is no response from concerned Republicans. 73 00:06:25,200 --> 00:06:28,640 Speaker 2: And I have to say that I have been struck 74 00:06:28,760 --> 00:06:33,839 Speaker 2: that the prominent members of the financial community have had 75 00:06:33,960 --> 00:06:38,760 Speaker 2: more to say being critical of Zoron Randani's bad ideas 76 00:06:38,839 --> 00:06:43,200 Speaker 2: about grocery stores in New York than they have the 77 00:06:43,240 --> 00:06:49,160 Speaker 2: wholesale takeover of the FED, which is a major threat 78 00:06:49,279 --> 00:06:54,800 Speaker 2: to the financial system as we have it. So I 79 00:06:54,839 --> 00:07:02,960 Speaker 2: am very worried that highly irresponsible behavior are being normalized 80 00:07:03,560 --> 00:07:10,840 Speaker 2: by what the President is doing and by the failure 81 00:07:11,640 --> 00:07:20,080 Speaker 2: of the establishment and of the traditional voices to find 82 00:07:21,120 --> 00:07:28,960 Speaker 2: the courage to resist and call out what President Trump 83 00:07:29,320 --> 00:07:37,400 Speaker 2: is doing. If disagreements can't be stated openly or asked 84 00:07:37,480 --> 00:07:41,160 Speaker 2: on or acted on, that's really a very chilling thing. 85 00:07:42,120 --> 00:07:44,800 Speaker 1: One of the major driving forces behind the Trump administration 86 00:07:44,840 --> 00:07:46,840 Speaker 1: and dealing with the Fed is trying to get rates 87 00:07:46,880 --> 00:07:50,440 Speaker 1: down too, you things like mortgage rates, rates on car loans. 88 00:07:51,160 --> 00:07:54,520 Speaker 1: Last time the Fed cut, actually the yield went up. 89 00:07:55,080 --> 00:07:57,680 Speaker 1: It's expected right now that the Fed is likely to 90 00:07:57,680 --> 00:08:01,040 Speaker 1: cut this month again. What is the administration's options if, 91 00:08:01,080 --> 00:08:03,800 Speaker 1: in fact, the Fed does cut this month of September 92 00:08:03,840 --> 00:08:05,320 Speaker 1: and actually yields go up. 93 00:08:06,080 --> 00:08:07,800 Speaker 2: Well, first of all, David, I think you said the 94 00:08:07,840 --> 00:08:13,600 Speaker 2: important thing. Markets are already pricing in cuts in rates. 95 00:08:14,280 --> 00:08:19,160 Speaker 2: So if a rate cut is delivered as expected, I 96 00:08:19,200 --> 00:08:23,080 Speaker 2: would be surprised if that had a substantial impact on 97 00:08:23,800 --> 00:08:27,520 Speaker 2: long term rates. I think what markets will be watching 98 00:08:27,760 --> 00:08:31,440 Speaker 2: is less what happens in September than the signals that 99 00:08:31,480 --> 00:08:35,600 Speaker 2: are sent with regard to the future. And I think 100 00:08:35,640 --> 00:08:38,679 Speaker 2: there is a sense that if the Fed is moving 101 00:08:38,760 --> 00:08:44,240 Speaker 2: towards the President's line easy rates over everything else. I 102 00:08:44,280 --> 00:08:47,840 Speaker 2: think the likelihood is that in such an environment, long 103 00:08:47,920 --> 00:08:51,760 Speaker 2: term rates would rise and take more GOODE rates up 104 00:08:52,800 --> 00:08:56,440 Speaker 2: with them. That's the kind of pattern we saw with 105 00:08:56,559 --> 00:09:02,480 Speaker 2: the politicized nineteen seventies Federal Reserve. It's the kind of 106 00:09:02,559 --> 00:09:07,840 Speaker 2: pattern we avoided during the times of Chairman of Vulgar 107 00:09:08,480 --> 00:09:14,040 Speaker 2: and Chairman Greenspan. So I think that's something very much 108 00:09:14,240 --> 00:09:17,880 Speaker 2: to worry about, and it's why I'm not sure the 109 00:09:17,920 --> 00:09:22,679 Speaker 2: President is proceeding wisely, even in his own terms of 110 00:09:22,720 --> 00:09:31,360 Speaker 2: aspiring towards lower rates that people see. I suppose if 111 00:09:31,480 --> 00:09:37,640 Speaker 2: long term rates go up, there are, of course options 112 00:09:37,960 --> 00:09:43,160 Speaker 2: to bring back, in some form or other, the quantitative 113 00:09:43,200 --> 00:09:48,199 Speaker 2: easing that the President and his people have largely condemned, 114 00:09:48,760 --> 00:09:52,320 Speaker 2: where the Fed goes in and buys up or somebody 115 00:09:52,360 --> 00:09:57,080 Speaker 2: goes in and buys up large quantities of long term bonds, 116 00:09:57,640 --> 00:10:01,680 Speaker 2: or in which pressures are applied to banks and pension 117 00:10:01,760 --> 00:10:06,160 Speaker 2: funds that force them to buy long term bonds. But 118 00:10:06,240 --> 00:10:10,120 Speaker 2: if you start down that road, you are really, I think, 119 00:10:10,280 --> 00:10:15,880 Speaker 2: very severely compromising the integrity of our financial system in 120 00:10:15,960 --> 00:10:21,280 Speaker 2: ways that we'll have far reaching consequences. 121 00:10:22,520 --> 00:10:25,680 Speaker 1: Coming up. President Trump claims that the Bureau of Labor 122 00:10:25,720 --> 00:10:28,920 Speaker 1: Statistics has been misleading the markets with its jobs numbers. 123 00:10:29,280 --> 00:10:31,760 Speaker 1: What will it take to make sure we have numbers 124 00:10:31,800 --> 00:10:34,880 Speaker 1: that we can trust? That's next on Wall Street Week. 125 00:10:45,720 --> 00:10:49,079 Speaker 1: This is a story about trust, maybe the most important 126 00:10:49,120 --> 00:10:52,720 Speaker 1: thing underlying the markets. Last December, we told you about 127 00:10:52,840 --> 00:10:56,280 Speaker 1: major problems facing the Bureau of Labor Statistics, the body 128 00:10:56,320 --> 00:11:00,320 Speaker 1: that publishes those all important jobs numbers each month. Problems 129 00:11:00,360 --> 00:11:03,560 Speaker 1: got much worse when Donald Trump fired the agency's head 130 00:11:03,640 --> 00:11:06,920 Speaker 1: last month. Our colleague Molly Smith reports on what it 131 00:11:06,960 --> 00:11:10,200 Speaker 1: could mean for the system and for private businesses looking 132 00:11:10,240 --> 00:11:11,760 Speaker 1: to get a foot in the door. 133 00:11:16,640 --> 00:11:19,680 Speaker 3: In a shared office space in downtown Manhattan, a group 134 00:11:19,720 --> 00:11:21,520 Speaker 3: of economists see an opportunity. 135 00:11:21,800 --> 00:11:24,320 Speaker 4: As you can see, the BLS revisions are quite large. 136 00:11:24,360 --> 00:11:26,760 Speaker 3: You might not have heard of Vellio Labs, but they 137 00:11:26,800 --> 00:11:30,000 Speaker 3: know an awful lot about the US economy. Benz Wig 138 00:11:30,120 --> 00:11:31,280 Speaker 3: is the company's CEO. 139 00:11:31,640 --> 00:11:34,680 Speaker 4: We're a workforce data company, so we collect data from 140 00:11:34,679 --> 00:11:38,400 Speaker 4: the public web, so anything that's online and that could 141 00:11:38,440 --> 00:11:42,880 Speaker 4: be public professional profiles, online job postings. We gathered that data. 142 00:11:43,000 --> 00:11:46,400 Speaker 4: We curate it, we standardize it, we enrich it. And 143 00:11:46,400 --> 00:11:47,720 Speaker 4: then we ultimately sell that data. 144 00:11:48,520 --> 00:11:51,839 Speaker 3: Revellio's main audience is hedge funds and private firms looking 145 00:11:51,880 --> 00:11:55,040 Speaker 3: for another perspective on the economy beyond what's offered by 146 00:11:55,040 --> 00:11:59,600 Speaker 3: government agencies. But things changed after an ugly July. 147 00:11:59,520 --> 00:12:02,480 Speaker 5: Jobs We got a very disappointing number here, and this 148 00:12:02,559 --> 00:12:05,240 Speaker 5: is going to get Wall Street's attention, seventy three thousand 149 00:12:05,320 --> 00:12:06,280 Speaker 5: jobs created. 150 00:12:06,480 --> 00:12:09,880 Speaker 3: President Donald Trump claimed without evidence that the numbers were 151 00:12:09,880 --> 00:12:13,160 Speaker 3: biased and ousted the head of the Bureau of Labor Statistics. 152 00:12:13,520 --> 00:12:16,000 Speaker 2: I believe the numbers were phony, just like there were 153 00:12:16,080 --> 00:12:18,439 Speaker 2: before the election, and there were other times. 154 00:12:18,480 --> 00:12:20,920 Speaker 6: So you know what I did, I fired her, and 155 00:12:21,040 --> 00:12:22,840 Speaker 6: you know what, I did the right things. 156 00:12:22,960 --> 00:12:24,680 Speaker 2: We need people that we could trust. 157 00:12:24,960 --> 00:12:28,400 Speaker 4: We were really really shocked when this happened. This happened 158 00:12:28,440 --> 00:12:31,440 Speaker 4: on Jobs Friday, of course, and then over the weekend. 159 00:12:32,080 --> 00:12:34,760 Speaker 4: I remember making some calls. You know, I called our 160 00:12:34,920 --> 00:12:37,240 Speaker 4: chief economists and you know, a few other people on 161 00:12:37,280 --> 00:12:39,320 Speaker 4: the team, and we were all kind of thinking the 162 00:12:39,320 --> 00:12:41,840 Speaker 4: same thing. We were like, all right, we gotta publish 163 00:12:41,840 --> 00:12:47,679 Speaker 4: macro statistics. There's some concern that the BLS may become politicized, 164 00:12:48,720 --> 00:12:52,360 Speaker 4: either institutionally or just through the incentives they face. You know, 165 00:12:52,360 --> 00:12:55,880 Speaker 4: maybe there's some concern that whoever leads it gets the 166 00:12:55,880 --> 00:12:58,439 Speaker 4: message that, you know, if the numbers don't match a 167 00:12:58,480 --> 00:13:01,200 Speaker 4: certain narrative, they might be out of job. So there 168 00:13:01,200 --> 00:13:05,640 Speaker 4: are some distorted incentives, and you know, there's there's some 169 00:13:06,240 --> 00:13:08,760 Speaker 4: concern that this that this data might not be trusted 170 00:13:08,760 --> 00:13:12,160 Speaker 4: in the way that it has been, and it's time 171 00:13:12,200 --> 00:13:13,200 Speaker 4: for us to step up. 172 00:13:13,400 --> 00:13:17,120 Speaker 5: There's nothing to report that says that there's been actual 173 00:13:17,200 --> 00:13:20,480 Speaker 5: political interference. Now I know there was a charge and 174 00:13:20,520 --> 00:13:23,000 Speaker 5: that was the reason for the firing, that the data 175 00:13:23,040 --> 00:13:27,920 Speaker 5: for the revisions were politically manipulated, and that is absolutely 176 00:13:27,920 --> 00:13:29,920 Speaker 5: one untrue. 177 00:13:30,280 --> 00:13:33,360 Speaker 3: Mike Horrigan is president of the Upjohn Institute, a think 178 00:13:33,440 --> 00:13:36,679 Speaker 3: tank focused on labor markets. He also spent over thirty 179 00:13:36,760 --> 00:13:39,680 Speaker 3: years at the BLS, at one point leading the Employment 180 00:13:39,720 --> 00:13:40,760 Speaker 3: Statistics Division. 181 00:13:40,960 --> 00:13:44,080 Speaker 5: I've served under many commissioners, whether they be nominated by 182 00:13:44,080 --> 00:13:47,560 Speaker 5: a Republican president or a Democratic president. I got to 183 00:13:47,600 --> 00:13:50,240 Speaker 5: say all of my experiences will as at the Bureau 184 00:13:50,679 --> 00:13:56,040 Speaker 5: was that of collaboration, collegiality, understanding. I personally think all 185 00:13:56,080 --> 00:13:58,959 Speaker 5: the business leaders I talk to still have trust in it. 186 00:13:59,360 --> 00:14:01,640 Speaker 5: I think what they're looking for is whether or not 187 00:14:01,679 --> 00:14:04,839 Speaker 5: a new commissioner is going to come in and interfere 188 00:14:04,880 --> 00:14:07,559 Speaker 5: with that trust. I think that's the next big test. 189 00:14:10,480 --> 00:14:14,800 Speaker 3: After ousting Rika mcintarford, President Trump tapped to EJ. Antoni 190 00:14:14,880 --> 00:14:17,800 Speaker 3: to head up the Bureau of Labor Statistics. Antoni is 191 00:14:17,800 --> 00:14:22,000 Speaker 3: the chief economist at the Heritage Foundation, a conservative think tank, 192 00:14:22,360 --> 00:14:25,400 Speaker 3: and was a contributor to the controversial Project twenty twenty 193 00:14:25,480 --> 00:14:28,880 Speaker 3: five plan. He faces Senate confirmation before he can step 194 00:14:28,920 --> 00:14:31,960 Speaker 3: into the new role at BLS. We spoke with former 195 00:14:32,000 --> 00:14:35,080 Speaker 3: Commissioner Bill Beach about the politics of the role. Beach 196 00:14:35,120 --> 00:14:37,240 Speaker 3: served under both President Trump and Biden. 197 00:14:37,640 --> 00:14:41,360 Speaker 7: Whether the president's Republican or Democrat, They're going to find 198 00:14:41,400 --> 00:14:46,200 Speaker 7: someone who has maybe demonstrated or at least could demonstrate 199 00:14:46,680 --> 00:14:50,239 Speaker 7: that they support the general drift of the policy portfolio 200 00:14:50,240 --> 00:14:53,840 Speaker 7: of the president has laid out. So EJ definitely qualifies 201 00:14:53,880 --> 00:14:54,120 Speaker 7: on that. 202 00:14:54,520 --> 00:14:57,400 Speaker 8: So EJ and Toni has been pretty vocal about his 203 00:14:57,720 --> 00:15:00,520 Speaker 8: critiques of BLS, including the. 204 00:15:00,520 --> 00:15:05,160 Speaker 3: Job's data the revisions. He suggested before he was named 205 00:15:05,240 --> 00:15:08,200 Speaker 3: to the role that the BLS should suspend the monthly 206 00:15:08,280 --> 00:15:12,800 Speaker 3: jobs report until the data issues are quote corrected. Do 207 00:15:12,840 --> 00:15:16,200 Speaker 3: you think that that's a viable solution? For a problem 208 00:15:16,200 --> 00:15:17,360 Speaker 3: that BLS is facing. 209 00:15:18,520 --> 00:15:23,120 Speaker 7: It's not viable at all. The monthly reports coming out 210 00:15:23,160 --> 00:15:29,120 Speaker 7: of BLS, particularly the Job's Report, are watched by financial 211 00:15:29,600 --> 00:15:33,080 Speaker 7: movers and shakers all over the world, by policy people 212 00:15:33,240 --> 00:15:36,680 Speaker 7: all over the world. Their biggest impact is here in 213 00:15:36,720 --> 00:15:41,080 Speaker 7: this country. And I can't imagine a situation more deleterious 214 00:15:41,520 --> 00:15:47,840 Speaker 7: to the economy that a statistical agency could do than 215 00:15:47,920 --> 00:15:51,640 Speaker 7: to suspend or stop or delay one of their reports. 216 00:15:51,640 --> 00:15:54,520 Speaker 7: I mean, it would cause a lot of problems. So no, 217 00:15:54,560 --> 00:15:58,400 Speaker 7: it's not viable, and I think EJ will quickly see 218 00:15:58,440 --> 00:15:59,520 Speaker 7: that if he's confirmed. 219 00:16:00,000 --> 00:16:02,680 Speaker 3: The reports suggests Antoni has since backed off from the 220 00:16:02,720 --> 00:16:06,200 Speaker 3: idea of suspending the monthly jobs report. But regardless of 221 00:16:06,200 --> 00:16:09,480 Speaker 3: whether Trump's new BLS chief makes the agency better or worse, 222 00:16:09,840 --> 00:16:13,160 Speaker 3: the issue remains that there's room for improvement. The agency's 223 00:16:13,200 --> 00:16:16,160 Speaker 3: problems are twofold, the budget needed to get the numbers 224 00:16:16,280 --> 00:16:18,920 Speaker 3: right and the people to make sense of those numbers. 225 00:16:19,400 --> 00:16:21,680 Speaker 3: Its resources haven't kept up with the scope of the 226 00:16:21,760 --> 00:16:26,120 Speaker 3: challenge it faces. Adjusted for inflation, BLS funding has slumped 227 00:16:26,160 --> 00:16:30,000 Speaker 3: about twenty percent since twenty ten, and President Trump's fiscal 228 00:16:30,000 --> 00:16:33,280 Speaker 3: twenty twenty six budget proposal would shave off an additional 229 00:16:33,320 --> 00:16:36,920 Speaker 3: eight percent, but Horigan says that the BLS has already 230 00:16:36,960 --> 00:16:38,840 Speaker 3: been making the most of its tight budget. 231 00:16:39,160 --> 00:16:41,720 Speaker 5: The Bureau gets about fifty eight percent of their reports 232 00:16:41,760 --> 00:16:45,880 Speaker 5: now from this thing called EDI. So for example, with Internet, 233 00:16:46,040 --> 00:16:48,080 Speaker 5: where it's more like a say a single firm or 234 00:16:48,160 --> 00:16:51,600 Speaker 5: smaller firm will go into the Internet or the Web 235 00:16:51,920 --> 00:16:55,800 Speaker 5: data collection facility and enter their answers into that format, 236 00:16:56,200 --> 00:16:59,800 Speaker 5: that's probably about twenty to twenty five percent of the sample. 237 00:17:00,400 --> 00:17:03,520 Speaker 5: There are other forms in which the data are collected. 238 00:17:03,600 --> 00:17:07,200 Speaker 5: So for example, CADDY is a computer assisted telephone interview. 239 00:17:07,520 --> 00:17:10,240 Speaker 5: So a lot of these innovations were introduced well before 240 00:17:10,280 --> 00:17:14,160 Speaker 5: I came on board, but over its history in those 241 00:17:15,080 --> 00:17:19,840 Speaker 5: different innovative data collection techniques have been increasing over time. 242 00:17:20,240 --> 00:17:23,399 Speaker 3: Changes in the BLS's methods of collecting data wouldn't be 243 00:17:23,440 --> 00:17:27,920 Speaker 3: without precedent its statistical The Census Bureau is already working 244 00:17:27,960 --> 00:17:30,679 Speaker 3: with private partners to get creative in its data collection. 245 00:17:31,040 --> 00:17:34,000 Speaker 5: In terms of that next step, I mean that's really 246 00:17:34,040 --> 00:17:36,680 Speaker 5: kind of a function of resources. Census Bureau, for example, 247 00:17:36,760 --> 00:17:40,679 Speaker 5: is doing some innovative research right now with Intel and 248 00:17:40,720 --> 00:17:43,600 Speaker 5: Amazon to take a look at how you could use 249 00:17:43,920 --> 00:17:47,400 Speaker 5: the firm's data in its own format and then use 250 00:17:47,440 --> 00:17:50,879 Speaker 5: a large language model to basically fill out a survey form. 251 00:17:51,440 --> 00:17:53,560 Speaker 5: That's the kind of innovative thinking that the Bureau and 252 00:17:53,640 --> 00:17:56,679 Speaker 5: cs have done for years, and with more resources, they 253 00:17:56,680 --> 00:17:58,720 Speaker 5: would be capable of doing that kind of innovation. 254 00:18:00,080 --> 00:18:03,240 Speaker 3: Innovation at the agency can also come through changing processes 255 00:18:03,280 --> 00:18:05,400 Speaker 3: that no longer work as well as they once did. 256 00:18:05,920 --> 00:18:08,760 Speaker 3: Nancy Podok was the Chief Statistician of the US at 257 00:18:08,800 --> 00:18:11,760 Speaker 3: the Office of Management and Budget and is currently CEO 258 00:18:11,920 --> 00:18:13,119 Speaker 3: of Knapax Consulting. 259 00:18:13,359 --> 00:18:16,679 Speaker 9: There's no question that we need improvement. We need investment, 260 00:18:16,760 --> 00:18:19,840 Speaker 9: we need more research, and we need to update methodologies. 261 00:18:20,520 --> 00:18:24,439 Speaker 9: The agencies have been starved of resources for a long time. 262 00:18:25,280 --> 00:18:28,720 Speaker 9: I think a healthy discussion within the administration is a 263 00:18:28,760 --> 00:18:32,480 Speaker 9: great thing. I'd love to see it, and I think 264 00:18:32,600 --> 00:18:36,240 Speaker 9: it should involve people outside the system as well. The users, 265 00:18:37,320 --> 00:18:42,000 Speaker 9: you know, people who are really relying on the numbers 266 00:18:42,359 --> 00:18:48,080 Speaker 9: to make decisions, need to provide input into that as 267 00:18:48,119 --> 00:18:49,919 Speaker 9: well as methodologists. 268 00:18:49,920 --> 00:18:52,280 Speaker 5: I'm not telling the Bureau what to do, but they 269 00:18:52,320 --> 00:18:56,119 Speaker 5: collect the data through the Friday before the release of 270 00:18:56,160 --> 00:19:00,080 Speaker 5: the data on Employment Situation Day. So one option to 271 00:19:00,119 --> 00:19:03,840 Speaker 5: consider is if you want more reports coming in. Before 272 00:19:03,880 --> 00:19:08,600 Speaker 5: you introduce any additional innovation in terms of data collection techniques, 273 00:19:09,200 --> 00:19:12,400 Speaker 5: maybe consider extending the time period for that first closing. 274 00:19:12,760 --> 00:19:16,560 Speaker 3: But processes and innovative partnerships need people to shepherd them. 275 00:19:16,840 --> 00:19:21,120 Speaker 3: People it's been losing. The agency has roughly two thousand employees, 276 00:19:21,560 --> 00:19:23,960 Speaker 3: and a third of its top positions are now vacant. 277 00:19:24,400 --> 00:19:26,840 Speaker 5: One of the concerns I have is, even if you 278 00:19:26,840 --> 00:19:30,320 Speaker 5: throw more resources at a time when we've lost so 279 00:19:30,520 --> 00:19:34,600 Speaker 5: many talented members of the statistical community because of the 280 00:19:34,600 --> 00:19:38,040 Speaker 5: fork in the road, because of firing all the folks 281 00:19:38,040 --> 00:19:40,399 Speaker 5: that have less than two years of tenure, and all 282 00:19:40,400 --> 00:19:43,600 Speaker 5: the senior executives that have decided to retire, you've got 283 00:19:43,600 --> 00:19:44,560 Speaker 5: a people problem. 284 00:19:44,720 --> 00:19:48,199 Speaker 8: It's just amazing looking at like the magnitude here, the 285 00:19:48,240 --> 00:19:52,600 Speaker 8: green ones again, thels and the blue ones are yours. 286 00:19:52,680 --> 00:19:54,480 Speaker 4: Pretty much what you get the first time is going 287 00:19:54,520 --> 00:19:56,440 Speaker 4: to be very close to what you get a month 288 00:19:56,480 --> 00:19:57,560 Speaker 4: later and a month after that. 289 00:19:58,160 --> 00:20:00,119 Speaker 3: The private sector thinks it can lend to HA and 290 00:20:00,240 --> 00:20:03,040 Speaker 3: to solve the government's data problem. An idea that's come 291 00:20:03,119 --> 00:20:06,800 Speaker 3: up in the context of improving federal statistics is this 292 00:20:06,880 --> 00:20:11,480 Speaker 3: idea of blended data, so incorporating private or alternative data 293 00:20:11,480 --> 00:20:14,639 Speaker 3: sources on top of what the government collects. Is that 294 00:20:14,720 --> 00:20:19,320 Speaker 3: something that you have explored with BLS or other statistical agencies, 295 00:20:19,400 --> 00:20:20,000 Speaker 3: or something. 296 00:20:19,800 --> 00:20:22,760 Speaker 4: You want to do, Yeah, I mean we would love 297 00:20:22,800 --> 00:20:26,119 Speaker 4: to do that. It hasn't come up. You know, no 298 00:20:26,119 --> 00:20:28,840 Speaker 4: one has asked us if we'd like to. 299 00:20:29,440 --> 00:20:30,439 Speaker 3: Would you ask them? 300 00:20:30,960 --> 00:20:31,160 Speaker 6: Yeah? 301 00:20:31,240 --> 00:20:33,000 Speaker 4: I think so. I mean, I think they know about us. 302 00:20:33,000 --> 00:20:35,159 Speaker 4: You know, we're very much in the same circles. You know, 303 00:20:35,520 --> 00:20:37,679 Speaker 4: it's the small world of laborconnuts and we all know 304 00:20:37,720 --> 00:20:40,880 Speaker 4: each other. And and I think you know, certainly within 305 00:20:40,960 --> 00:20:44,320 Speaker 4: financial markets, we're well known as the kind of go 306 00:20:44,359 --> 00:20:48,359 Speaker 4: to source for labor market information. So I think they 307 00:20:48,440 --> 00:20:53,720 Speaker 4: know that we're doing this. My sense, and granted I'm 308 00:20:53,760 --> 00:20:56,879 Speaker 4: not in the room when these discussions happen, is that 309 00:20:57,440 --> 00:21:00,919 Speaker 4: the BLS has not been able to just defy funding 310 00:21:00,920 --> 00:21:04,240 Speaker 4: for these new initiatives, and they've had their funding cut 311 00:21:05,200 --> 00:21:11,359 Speaker 4: again and again. And this is something like a wish 312 00:21:12,240 --> 00:21:13,840 Speaker 4: that has never really. 313 00:21:15,160 --> 00:21:15,840 Speaker 10: Gotten traction. 314 00:21:16,720 --> 00:21:20,600 Speaker 4: So not holding my breath for it, and I'd love 315 00:21:20,600 --> 00:21:22,639 Speaker 4: if it would happen. In the meantime, We're just going 316 00:21:22,680 --> 00:21:25,199 Speaker 4: to put it out there as a public service. 317 00:21:25,520 --> 00:21:28,800 Speaker 3: The science of statistics is empirical, but under the hard 318 00:21:28,880 --> 00:21:32,199 Speaker 3: data lies the immeasurable but important quality of trust in 319 00:21:32,240 --> 00:21:36,080 Speaker 3: those numbers and in the entities responsible for collecting and 320 00:21:36,160 --> 00:21:36,880 Speaker 3: reporting them. 321 00:21:37,200 --> 00:21:40,960 Speaker 7: This is not a trivial matter. The trust in BLS 322 00:21:41,240 --> 00:21:44,000 Speaker 7: is connected to trust in their product. The two are 323 00:21:44,160 --> 00:21:47,960 Speaker 7: the same. And if you don't trust the product, then, 324 00:21:48,080 --> 00:21:52,520 Speaker 7: for example, you're making a big merger with another company 325 00:21:52,560 --> 00:21:56,280 Speaker 7: and you use data from BLS, it has to be 326 00:21:56,320 --> 00:21:59,399 Speaker 7: pretty believable in order for your hurdle rates for the 327 00:21:59,440 --> 00:22:04,000 Speaker 7: investment to be believable. Well, now you don't quite believe it, 328 00:22:04,119 --> 00:22:07,480 Speaker 7: so you begin to hedge a little bit more uncertainty 329 00:22:07,520 --> 00:22:11,000 Speaker 7: around that hurdle rate than there was before, and uncertainty 330 00:22:11,000 --> 00:22:13,840 Speaker 7: produces higher costs than the acquisition process. I'm using a 331 00:22:13,960 --> 00:22:18,160 Speaker 7: very small slice, but that's repeated every day, thousands of times. 332 00:22:18,800 --> 00:22:23,199 Speaker 7: So I think losing trust in a bedrock institution is 333 00:22:23,359 --> 00:22:27,600 Speaker 7: highly consequential, highly difficult, and very expensive for an economy. 334 00:22:27,880 --> 00:22:30,399 Speaker 7: Does it reduce the growth rate? Yes? Over time it 335 00:22:30,440 --> 00:22:33,359 Speaker 7: could actually reduce the growth rate in economy. Not to 336 00:22:33,440 --> 00:22:36,080 Speaker 7: know the economy is operating at a certain level because 337 00:22:36,080 --> 00:22:38,679 Speaker 7: you distrust the data means you don't know how the 338 00:22:38,720 --> 00:22:43,600 Speaker 7: economy is operating, and how can you function efficiently and 339 00:22:43,720 --> 00:22:46,520 Speaker 7: use your resources at their highest and best use if 340 00:22:46,560 --> 00:22:49,040 Speaker 7: you really can't see the economy the way you think 341 00:22:49,040 --> 00:22:49,480 Speaker 7: you should. 342 00:22:49,760 --> 00:22:53,440 Speaker 3: Nancy Podock says that today, as Trump's BLS pick prepares 343 00:22:53,480 --> 00:22:57,320 Speaker 3: for the Senate confirmation process, the country sits at acrossroads. 344 00:22:57,680 --> 00:23:01,440 Speaker 3: Will leadership continue to prioritize the best, most impartial data 345 00:23:02,119 --> 00:23:04,680 Speaker 3: or will it fall into a familiar trap that other 346 00:23:04,720 --> 00:23:07,840 Speaker 3: countries know too well, in which numbers aren't used to 347 00:23:07,920 --> 00:23:11,000 Speaker 3: learn about the economy, but to tell an approved story 348 00:23:11,040 --> 00:23:11,479 Speaker 3: about it. 349 00:23:11,720 --> 00:23:16,320 Speaker 9: We really need people to get excited about the whole system, 350 00:23:16,400 --> 00:23:22,280 Speaker 9: not just the firing of the BLS commissioner, but knowing 351 00:23:22,320 --> 00:23:26,399 Speaker 9: that that's a keystone in a larger system that is 352 00:23:26,520 --> 00:23:28,439 Speaker 9: in peril. We're going to go one way or the 353 00:23:28,440 --> 00:23:30,960 Speaker 9: other at this point. I don't think there's a status 354 00:23:31,040 --> 00:23:34,600 Speaker 9: quo option. I think it's either going to get very 355 00:23:34,600 --> 00:23:40,160 Speaker 9: political or people are going to really strengthen the system. 356 00:23:40,520 --> 00:23:43,280 Speaker 9: We've got to choose as a nation which way we're 357 00:23:43,280 --> 00:23:43,600 Speaker 9: going to. 358 00:23:43,560 --> 00:23:48,800 Speaker 1: Go up next. There's gold in them. They are Australian 359 00:23:48,840 --> 00:23:52,280 Speaker 1: outback minds and firms are reaping the benefits from higher 360 00:23:52,359 --> 00:23:55,080 Speaker 1: gold prices. But what are they going to do with 361 00:23:55,240 --> 00:24:10,040 Speaker 1: all that money? This is a story about money burning 362 00:24:10,040 --> 00:24:12,720 Speaker 1: a hole in your pocket. The price of gold has 363 00:24:12,760 --> 00:24:16,119 Speaker 1: been on our rocket right up. Our colleague Paul Allen 364 00:24:16,200 --> 00:24:18,680 Speaker 1: tells us about what this means for gold mining in 365 00:24:18,720 --> 00:24:22,520 Speaker 1: Australia and both the risks and the opportunities. 366 00:24:24,080 --> 00:24:27,800 Speaker 11: In the Australian outback, scrub and red dust stretches as 367 00:24:27,840 --> 00:24:30,800 Speaker 11: far as the eye can see. It's desolate out here 368 00:24:30,960 --> 00:24:34,240 Speaker 11: and it's dry, but beneath the dust there's a bounty 369 00:24:34,280 --> 00:24:36,600 Speaker 11: that miners are willing to dig a long way for. 370 00:24:37,400 --> 00:24:39,960 Speaker 12: How many ounces of gold would be in a typical truck, 371 00:24:40,680 --> 00:24:43,520 Speaker 12: So the beare and five hundred grams of gold and 372 00:24:43,560 --> 00:24:46,520 Speaker 12: the tripe. So we've got a line of trucks slowly 373 00:24:46,560 --> 00:24:48,280 Speaker 12: making their way out of the pit here. How long 374 00:24:48,320 --> 00:24:49,800 Speaker 12: does it take to get from the bottom to. 375 00:24:49,760 --> 00:24:51,640 Speaker 10: The top, Yeah, it's well over an hour. 376 00:24:52,760 --> 00:24:56,040 Speaker 11: The Kelgooli super Pit in Western Australia is a sight 377 00:24:56,160 --> 00:24:59,919 Speaker 11: to behold. More than six hundred meters deep would covery 378 00:25:00,040 --> 00:25:05,439 Speaker 11: in Manhattan's tallest skyscrapers. It's so vast it swallows Central Park. 379 00:25:05,920 --> 00:25:07,520 Speaker 13: This project is going to be an important one for 380 00:25:07,560 --> 00:25:09,800 Speaker 13: our business. And our shareholders A Zabaham. 381 00:25:09,400 --> 00:25:13,360 Speaker 11: Stuart Tonkin as CEO of Northern Star, Australia's the biggest gold. 382 00:25:13,160 --> 00:25:15,680 Speaker 13: Miner, probably around three to f one a million dollars 383 00:25:15,720 --> 00:25:18,120 Speaker 13: per annum being spent moving material from the southern part 384 00:25:18,160 --> 00:25:21,840 Speaker 13: of this pit, gaining access to over six million ounces. 385 00:25:21,680 --> 00:25:23,600 Speaker 10: Of gold in the bottom of the southern part of 386 00:25:23,600 --> 00:25:23,920 Speaker 10: this pit. 387 00:25:25,200 --> 00:25:27,760 Speaker 11: The price of gold has been on a tear. It's 388 00:25:27,840 --> 00:25:31,680 Speaker 11: up nearly tenfold since two thousand and more than doubling 389 00:25:31,840 --> 00:25:35,480 Speaker 11: over the last five years. Tolkien's company and many others 390 00:25:35,480 --> 00:25:38,800 Speaker 11: around Carl Guli are cashing in. But the gold industry 391 00:25:39,000 --> 00:25:40,120 Speaker 11: has been here before. 392 00:25:40,800 --> 00:25:44,560 Speaker 13: There's probably more failure stories than success stories where people 393 00:25:44,600 --> 00:25:47,880 Speaker 13: can point to in the gold sector, and so repairing 394 00:25:47,920 --> 00:25:51,080 Speaker 13: a lot of that trust with investors as we go 395 00:25:51,160 --> 00:25:54,800 Speaker 13: into another cycle has been really important for our company 396 00:25:55,040 --> 00:25:57,359 Speaker 13: and I think for many Australian companies to get that 397 00:25:57,440 --> 00:25:58,160 Speaker 13: investor trust. 398 00:25:59,400 --> 00:26:01,840 Speaker 11: But before we get to that, let's set the scene. 399 00:26:02,800 --> 00:26:06,040 Speaker 11: There was eighteen ninety three when a group of prospectors 400 00:26:06,080 --> 00:26:11,080 Speaker 11: on horseback quite literally struck gold in Calgooley. Russian sued 401 00:26:11,160 --> 00:26:14,440 Speaker 11: and the precious metal has dominated the Western Australian town 402 00:26:14,480 --> 00:26:18,800 Speaker 11: of thirty thousands ever since. And the other Ashok Pereka 403 00:26:18,880 --> 00:26:22,000 Speaker 11: is the local accountant and chairman of mid tier gold 404 00:26:22,000 --> 00:26:23,560 Speaker 11: producer Horizon Minerals. 405 00:26:24,400 --> 00:26:27,119 Speaker 14: I've been involved in the mining industry for over forty 406 00:26:27,200 --> 00:26:30,040 Speaker 14: years in Calgooley and I happened to in the pub 407 00:26:30,080 --> 00:26:32,879 Speaker 14: as well. When I came here, gold was probably one 408 00:26:32,960 --> 00:26:35,640 Speaker 14: hundred and fifty dollars an aunts. Today it's over five 409 00:26:35,640 --> 00:26:38,520 Speaker 14: thousand dollars in aunts. It has been great for everybody 410 00:26:38,560 --> 00:26:41,840 Speaker 14: in Australia and cayl Gooley win the biggest goal mining town. 411 00:26:41,880 --> 00:26:44,800 Speaker 14: Other is in Australia and Carl Gooley is different. 412 00:26:44,880 --> 00:26:48,400 Speaker 15: You can come to Carl Gooley, you can walk into 413 00:26:48,400 --> 00:26:52,359 Speaker 15: a pub, you've got no job, nowhere to live and 414 00:26:52,480 --> 00:26:55,600 Speaker 15: no money, and by the time you walk out you've 415 00:26:55,600 --> 00:26:57,600 Speaker 15: had a meal, you've got a place to stay and 416 00:26:57,640 --> 00:26:58,320 Speaker 15: you've got a job. 417 00:26:59,760 --> 00:27:03,040 Speaker 11: There's plenty more people finding jobs and places to mine. 418 00:27:03,200 --> 00:27:05,360 Speaker 11: With the price of gold booming. 419 00:27:05,520 --> 00:27:08,280 Speaker 10: We're currently mining. It's all a great goal price environment. 420 00:27:08,920 --> 00:27:10,960 Speaker 16: What those high goal prices do for is this, we 421 00:27:11,040 --> 00:27:13,800 Speaker 16: can actually produce gold now pay a little more through 422 00:27:13,840 --> 00:27:17,440 Speaker 16: processing through third party infrastructure, so use other people's infrastructure. 423 00:27:18,000 --> 00:27:19,359 Speaker 10: What it does is as actually. 424 00:27:19,119 --> 00:27:21,280 Speaker 16: Closed, as that funding gap will need to refurbish our 425 00:27:21,320 --> 00:27:21,919 Speaker 16: own plants. 426 00:27:22,760 --> 00:27:24,960 Speaker 13: Now I call them pop up shops around the gold 427 00:27:24,960 --> 00:27:27,280 Speaker 13: fields here, just the amount of flurry and activity of 428 00:27:27,880 --> 00:27:31,280 Speaker 13: things that weren't economic six months ago that suddenly become economic. 429 00:27:32,640 --> 00:27:36,200 Speaker 11: Australia produces about three hundred tons of gold each year, 430 00:27:36,480 --> 00:27:40,959 Speaker 11: that's about eight percent of global production. It's a costly exercise. 431 00:27:41,600 --> 00:27:45,440 Speaker 11: The process involves breaking down vast amounts of ore extracted 432 00:27:45,480 --> 00:27:48,639 Speaker 11: from the mind. Each truck can carry about two hundred 433 00:27:48,640 --> 00:27:52,200 Speaker 11: and fifty tons of material, which is typically five hundred 434 00:27:52,280 --> 00:27:56,120 Speaker 11: grams of that is gold. That materials then broken down 435 00:27:56,160 --> 00:27:58,680 Speaker 11: and processed by crushes before being melted. 436 00:27:59,680 --> 00:28:02,800 Speaker 17: The melting point of gold is ony twenty four degrees, 437 00:28:03,440 --> 00:28:06,639 Speaker 17: so we then hate the furnace up to roughly twelve 438 00:28:06,720 --> 00:28:10,040 Speaker 17: hundred degrees as we go through the poor process. The 439 00:28:10,080 --> 00:28:12,800 Speaker 17: first material comes out is all of that slag off 440 00:28:12,840 --> 00:28:16,120 Speaker 17: the top of the in creacible. Then when the gold 441 00:28:16,200 --> 00:28:19,359 Speaker 17: comes out, the color chained actually goes from a yellow 442 00:28:19,440 --> 00:28:22,440 Speaker 17: almost or greeny color, and that's the gold coming out 443 00:28:22,600 --> 00:28:26,359 Speaker 17: of the process. Probably one of the good things about 444 00:28:26,400 --> 00:28:29,480 Speaker 17: this site is that we have a relatively nice or 445 00:28:29,600 --> 00:28:32,040 Speaker 17: body coming into it. We don't have a great deal 446 00:28:32,200 --> 00:28:34,800 Speaker 17: of impurities coming through. So these are some of the 447 00:28:34,880 --> 00:28:37,480 Speaker 17: nicest bars that I've seen in my time in industry, 448 00:28:38,280 --> 00:28:38,760 Speaker 17: and with. 449 00:28:38,760 --> 00:28:42,640 Speaker 11: A surgeon prices, Australia's gold miners are cashing in and 450 00:28:42,760 --> 00:28:47,080 Speaker 11: setting themselves up for long term success. Lorie Conway is 451 00:28:47,240 --> 00:28:48,800 Speaker 11: CEO of Evolution Mining. 452 00:28:49,400 --> 00:28:51,800 Speaker 18: So back in June twenty three, we made the decision 453 00:28:51,880 --> 00:28:54,360 Speaker 18: to invest two hundred and fifty million dollars building this 454 00:28:54,520 --> 00:28:57,560 Speaker 18: plant expansion and seventy five million dollars to open up 455 00:28:57,560 --> 00:29:00,720 Speaker 18: a new mining center into the North heat Feur the plant, 456 00:29:01,000 --> 00:29:03,680 Speaker 18: taking it from two million tons to four point two 457 00:29:03,720 --> 00:29:07,520 Speaker 18: million tons. And in twenty three it was pretty difficult. 458 00:29:07,840 --> 00:29:09,760 Speaker 18: The market was high, it was hard to get people, 459 00:29:09,760 --> 00:29:10,680 Speaker 18: hard to get equipment. 460 00:29:10,880 --> 00:29:13,520 Speaker 10: I think we were very fortunate when we did that. 461 00:29:13,640 --> 00:29:16,600 Speaker 16: But gold price was only two four hundred two five 462 00:29:16,640 --> 00:29:19,640 Speaker 16: hundred dollars an ounce when the board approved this, and 463 00:29:19,720 --> 00:29:22,120 Speaker 16: it had very good economics. I mean bringing it in 464 00:29:22,240 --> 00:29:25,600 Speaker 16: right now at two hundred dollars an ounce is a 465 00:29:25,600 --> 00:29:26,280 Speaker 16: perfect time. 466 00:29:26,160 --> 00:29:27,440 Speaker 10: To be commissioning it. 467 00:29:27,600 --> 00:29:30,160 Speaker 16: I think that the difference this time is what's going 468 00:29:30,200 --> 00:29:33,160 Speaker 16: on around Central Banks and that shift of we need 469 00:29:33,200 --> 00:29:36,360 Speaker 16: to have gold in our reserves a lot more, whereas 470 00:29:36,440 --> 00:29:39,320 Speaker 16: back in the last cycle it was it was really 471 00:29:39,360 --> 00:29:42,400 Speaker 16: around the whole mining boom and therefore what was going 472 00:29:42,440 --> 00:29:45,080 Speaker 16: on in low inflation, low interest rates that pushed the 473 00:29:45,120 --> 00:29:47,520 Speaker 16: price of gold up, and so that was will being 474 00:29:47,560 --> 00:29:49,320 Speaker 16: driven by an economic standpoint. 475 00:29:49,320 --> 00:29:50,040 Speaker 12: This time it's. 476 00:29:49,920 --> 00:29:53,400 Speaker 16: Really being driven by geopolitical tensions and the shift in 477 00:29:53,760 --> 00:29:56,680 Speaker 16: the way that governments are handling their reserves. And so 478 00:29:56,760 --> 00:29:59,840 Speaker 16: that's why you sort of see that structural shift that 479 00:30:00,120 --> 00:30:04,280 Speaker 16: that the governments are driving this price whereas the economy 480 00:30:04,320 --> 00:30:06,320 Speaker 16: was driving the other one. And that's why in the 481 00:30:06,360 --> 00:30:09,080 Speaker 16: long term, yes, the goal price will come down a bit, 482 00:30:09,160 --> 00:30:11,720 Speaker 16: but it structurally shifted higher because of what central banks 483 00:30:11,720 --> 00:30:12,120 Speaker 16: are doing. 484 00:30:12,120 --> 00:30:13,440 Speaker 10: Versus the last last boom. 485 00:30:14,200 --> 00:30:18,120 Speaker 11: In twenty nineteen, Evolution reported adjusted gross profit of about 486 00:30:18,160 --> 00:30:21,320 Speaker 11: two hundred and seventy million US dollars or about four 487 00:30:21,440 --> 00:30:25,240 Speaker 11: hundred and ten million Australian dollars. That's now jump to 488 00:30:25,280 --> 00:30:28,680 Speaker 11: about one billion. It's expected to grow even further to 489 00:30:28,760 --> 00:30:30,440 Speaker 11: almost two billion next year. 490 00:30:31,240 --> 00:30:33,720 Speaker 10: And how harry about on the costs front, what's that like? 491 00:30:33,760 --> 00:30:36,120 Speaker 16: At the moment, power will go up because we're obviously 492 00:30:36,160 --> 00:30:38,640 Speaker 16: doubling the processing and the processing uses power. 493 00:30:38,840 --> 00:30:40,840 Speaker 10: Fifty percent of our costs are labor. 494 00:30:41,120 --> 00:30:44,000 Speaker 11: And investors are keeping a keen eye on costs this 495 00:30:44,160 --> 00:30:49,160 Speaker 11: time around. When gold prices last jumped, Australia's gold miners underperformed, 496 00:30:49,520 --> 00:30:52,760 Speaker 11: falling sixteen percent of the three years from twenty ten, 497 00:30:53,200 --> 00:30:56,560 Speaker 11: while the price of the metal itself rose fifty two percent. 498 00:30:58,280 --> 00:31:01,160 Speaker 11: Kate McCutcheon covers Australia's gold miners for City. 499 00:31:02,080 --> 00:31:05,480 Speaker 6: So last cycle, we definitely saw a lot of transformative 500 00:31:05,640 --> 00:31:08,360 Speaker 6: m and E which was very value destructive. So that 501 00:31:08,480 --> 00:31:11,280 Speaker 6: last cycle from two thousand to twenty twelve, the ten 502 00:31:11,320 --> 00:31:14,960 Speaker 6: biggest gold stocks in our coverage universe cumulatively burnt ten 503 00:31:15,040 --> 00:31:16,840 Speaker 6: billion dollars in free cash. 504 00:31:17,400 --> 00:31:19,880 Speaker 16: As an industry, we made those missteps because when the 505 00:31:19,920 --> 00:31:23,160 Speaker 16: price did come off and that cycle changed, shareholders went, well, 506 00:31:23,160 --> 00:31:26,360 Speaker 16: where's the cash, And all the industry said is, well, 507 00:31:26,400 --> 00:31:28,840 Speaker 16: we reinvested it in the projects or we went in 508 00:31:28,880 --> 00:31:32,680 Speaker 16: board assets, and therefore we've reinvested that money for you. 509 00:31:32,720 --> 00:31:34,560 Speaker 16: And the shareholders were like, well, we would have liked 510 00:31:34,560 --> 00:31:37,480 Speaker 16: some of that, and we didn't see that. It hasn't 511 00:31:37,560 --> 00:31:39,400 Speaker 16: changed too much, I mean, other than that we're putting 512 00:31:39,440 --> 00:31:41,400 Speaker 16: more cash in the bank, which is why our shareholders 513 00:31:41,440 --> 00:31:42,040 Speaker 16: want to see it. 514 00:31:42,720 --> 00:31:44,720 Speaker 12: So it's interesting you say you've got more cash in 515 00:31:44,760 --> 00:31:48,840 Speaker 12: the bank. Has this changed your approach to reserve management 516 00:31:49,040 --> 00:31:50,400 Speaker 12: and long term planning as well? 517 00:31:50,800 --> 00:31:53,160 Speaker 16: You know, you've got to see it as a stained price 518 00:31:53,200 --> 00:31:55,239 Speaker 16: at these levels before, because you can't just change your 519 00:31:55,240 --> 00:31:58,200 Speaker 16: mind plans overnight. So what it does mean we look 520 00:31:58,200 --> 00:32:00,440 Speaker 16: at our reserve pricing, We look at what the costs 521 00:32:01,000 --> 00:32:04,000 Speaker 16: have changed, because you do see costs generally follow the 522 00:32:04,040 --> 00:32:06,960 Speaker 16: goal price. And then we look at all what projects 523 00:32:07,240 --> 00:32:10,840 Speaker 16: become more economic in a higher price environment, and then 524 00:32:10,880 --> 00:32:13,080 Speaker 16: we apply the normal discipline of when do you bring 525 00:32:13,120 --> 00:32:13,520 Speaker 16: those on. 526 00:32:14,920 --> 00:32:16,280 Speaker 13: I think it's important that you look at a lot 527 00:32:16,320 --> 00:32:19,240 Speaker 13: of these things in hindsight, some things like hedging, you know, 528 00:32:19,280 --> 00:32:22,720 Speaker 13: hedge book legacy, at prices that people had never never 529 00:32:22,760 --> 00:32:25,680 Speaker 13: thought that they would see exposure to. You know, when 530 00:32:25,680 --> 00:32:28,680 Speaker 13: people had a high equity price, they probably tried to 531 00:32:28,800 --> 00:32:31,520 Speaker 13: use that currency by raising lots of money on the 532 00:32:31,520 --> 00:32:35,160 Speaker 13: back of an elevated equity price and then potentially dropping 533 00:32:35,160 --> 00:32:38,920 Speaker 13: money out of their balance sheet, return capital to shareholders 534 00:32:38,920 --> 00:32:42,080 Speaker 13: that then wasn't retained for its own sustainability inside the business. 535 00:32:42,120 --> 00:32:45,000 Speaker 13: So there are very many different disciplines of what people 536 00:32:45,040 --> 00:32:46,320 Speaker 13: do at different times. 537 00:32:46,320 --> 00:32:48,120 Speaker 12: And do you feel lessons have been learned? Do you 538 00:32:48,120 --> 00:32:49,920 Speaker 12: feel like the approach is different this time. 539 00:32:50,320 --> 00:32:51,040 Speaker 10: I feel that the. 540 00:32:51,440 --> 00:32:53,360 Speaker 13: Heat has come out of some of that, but I've 541 00:32:53,400 --> 00:32:57,280 Speaker 13: found a foundation discipline of true capital management across a 542 00:32:57,360 --> 00:33:01,280 Speaker 13: variety of things. So, you know, dividend gold companies was 543 00:33:01,360 --> 00:33:03,920 Speaker 13: never really heard of. There's a lot of good track 544 00:33:03,960 --> 00:33:07,560 Speaker 13: record of gold companies paying dividends, doing share buybacks, compressing 545 00:33:07,560 --> 00:33:10,280 Speaker 13: registers that they had raised equity on the back of. 546 00:33:11,080 --> 00:33:12,520 Speaker 10: Those are the type of capital. 547 00:33:12,160 --> 00:33:15,840 Speaker 13: Management measures that aren't typical to a gold company are 548 00:33:15,880 --> 00:33:16,320 Speaker 13: this time. 549 00:33:16,440 --> 00:33:19,959 Speaker 6: Investors want to see more tuck in acquisitions or bolt 550 00:33:19,960 --> 00:33:22,280 Speaker 6: on acquisitions close to infrastructure. 551 00:33:22,600 --> 00:33:23,600 Speaker 10: It's very very. 552 00:33:23,400 --> 00:33:25,920 Speaker 6: Hard in a bull gold market to do a deal 553 00:33:26,000 --> 00:33:28,479 Speaker 6: that's a creative and I think the gold companies are 554 00:33:28,480 --> 00:33:34,040 Speaker 6: realizing that. Secondly, what's not different this time is delivery 555 00:33:34,080 --> 00:33:38,120 Speaker 6: on operational guidance. So the three biggest stocks in our 556 00:33:38,120 --> 00:33:42,560 Speaker 6: coverage Universe, Evolution, Northern Star in Neumont actually up until 557 00:33:42,600 --> 00:33:46,520 Speaker 6: the SFY hadn't delivered on guidance for between four to 558 00:33:46,560 --> 00:33:50,120 Speaker 6: seven years. The third thing that's different this cycle is 559 00:33:50,160 --> 00:33:53,840 Speaker 6: also hedgebooks. So now we're seeing gold miners opt for 560 00:33:54,040 --> 00:33:57,800 Speaker 6: no hedging policy, so that exposure to spot prices and 561 00:33:57,840 --> 00:34:01,719 Speaker 6: putting in place and put options to protect the downside. 562 00:34:01,480 --> 00:34:02,880 Speaker 10: And this cycle as well. 563 00:34:02,960 --> 00:34:04,760 Speaker 6: Most of the gold miners in our coverage are in 564 00:34:04,800 --> 00:34:07,840 Speaker 6: a net cash position or running at peak net data 565 00:34:07,880 --> 00:34:11,040 Speaker 6: fifteen percent, so balance sheets are very different this time. 566 00:34:11,560 --> 00:34:14,439 Speaker 11: And investors appear to be liking what they're seeing. Since 567 00:34:14,480 --> 00:34:16,600 Speaker 11: the start of twenty twenty two, the gold price is 568 00:34:16,680 --> 00:34:20,680 Speaker 11: up eighty five percent. Australia's gold miners are up ninety 569 00:34:20,719 --> 00:34:24,440 Speaker 11: eight percent, with both Northern Star and Evolution balancing share 570 00:34:24,480 --> 00:34:27,520 Speaker 11: buyback programs with new investments in recent months. 571 00:34:28,040 --> 00:34:30,560 Speaker 12: Do you feel like investors now buy the idea that 572 00:34:30,600 --> 00:34:33,000 Speaker 12: the gold industry is more disciplined than it has been 573 00:34:33,000 --> 00:34:33,560 Speaker 12: in the past. 574 00:34:33,880 --> 00:34:34,080 Speaker 1: Yeah. 575 00:34:34,120 --> 00:34:36,040 Speaker 16: I think if we can continue that over the next 576 00:34:36,080 --> 00:34:40,319 Speaker 16: sort of twelve eighteen months through increasing dividends, making sure 577 00:34:40,360 --> 00:34:42,920 Speaker 16: that some companies do buybacks that they do see that, 578 00:34:43,680 --> 00:34:46,280 Speaker 16: as well as reinvesting in the business, because the shaholders 579 00:34:46,320 --> 00:34:47,880 Speaker 16: still want us to reinvest. 580 00:34:47,520 --> 00:34:48,000 Speaker 10: In the business. 581 00:34:48,080 --> 00:34:51,120 Speaker 16: They want us to make it sustainable over the long term, 582 00:34:51,120 --> 00:34:52,399 Speaker 16: but they do want to share in that. 583 00:34:52,520 --> 00:34:54,279 Speaker 10: As we're going through this cycle. 584 00:34:54,800 --> 00:34:57,120 Speaker 19: Just spent a couple of weeks in the US meeting 585 00:34:57,120 --> 00:34:59,560 Speaker 19: with investors because there's a lot more interest in the 586 00:34:59,680 --> 00:35:02,640 Speaker 19: US in Australian doll stops at the moment, and so 587 00:35:02,719 --> 00:35:04,799 Speaker 19: it was good to go and talk to them and 588 00:35:05,000 --> 00:35:07,440 Speaker 19: explain what we're doing here at Evolution, but also what 589 00:35:07,480 --> 00:35:10,560 Speaker 19: the gold industry in Australia is doing, and they're certainly 590 00:35:10,600 --> 00:35:11,560 Speaker 19: going to be more interest. 591 00:35:12,400 --> 00:35:16,320 Speaker 11: The big question is where to next. Gold is plataued 592 00:35:16,360 --> 00:35:20,080 Speaker 11: in recent months, but in an increasingly uncertain macro environment, 593 00:35:20,560 --> 00:35:21,760 Speaker 11: is the room to go higher. 594 00:35:22,400 --> 00:35:25,000 Speaker 13: It's a really exciting time for gold and it's been 595 00:35:25,040 --> 00:35:28,440 Speaker 13: elevated for some time, but there doesn't seem any signs 596 00:35:28,440 --> 00:35:31,799 Speaker 13: that this is going to fall back. We think it's 597 00:35:31,800 --> 00:35:34,360 Speaker 13: possibly the new norm and if anything, the start of 598 00:35:34,400 --> 00:35:36,400 Speaker 13: another continuing ball run for gold. 599 00:35:37,360 --> 00:35:38,000 Speaker 10: Yeah certainly. 600 00:35:38,000 --> 00:35:41,239 Speaker 16: I mean gold started back in the eighteen fifty so 601 00:35:41,320 --> 00:35:43,520 Speaker 16: it's been around and been a part of Australia for 602 00:35:43,560 --> 00:35:45,880 Speaker 16: a very long time, and I think as we go 603 00:35:45,960 --> 00:35:48,880 Speaker 16: through the boom and bust of economies, gold has had 604 00:35:48,880 --> 00:35:51,560 Speaker 16: a significant role to play. It now has a more 605 00:35:51,600 --> 00:35:54,480 Speaker 16: important role to play because we are a top ten producer, 606 00:35:55,040 --> 00:35:57,759 Speaker 16: we're low cost producer, We're a great jurisdiction in which 607 00:35:57,800 --> 00:36:01,880 Speaker 16: to operate and therefore makes it important to the Australian economy. 608 00:36:01,880 --> 00:36:04,319 Speaker 16: But it also means it makes it attractive for people to. 609 00:36:04,320 --> 00:36:05,280 Speaker 10: Invest in the sector. 610 00:36:05,920 --> 00:36:08,640 Speaker 11: Whether it does make it attractive for people to invest 611 00:36:08,680 --> 00:36:11,439 Speaker 11: in is going to depend on some big decisions being 612 00:36:11,440 --> 00:36:14,799 Speaker 11: made by companies like Evolution and Northern Star. Is a 613 00:36:14,840 --> 00:36:17,880 Speaker 11: time to double down on the gold mining bet or 614 00:36:18,320 --> 00:36:20,160 Speaker 11: is it time to take some money off the table 615 00:36:20,320 --> 00:36:21,880 Speaker 11: and give it back to investors? 616 00:36:26,520 --> 00:36:30,160 Speaker 1: Coming up, millions of Indians put billions of dollars into 617 00:36:30,200 --> 00:36:33,759 Speaker 1: equity derivatives and lost most of it. We take a 618 00:36:33,760 --> 00:36:36,640 Speaker 1: look at Indian capital markets and their role in driving 619 00:36:36,719 --> 00:36:50,359 Speaker 1: growth and innovation. That's next on Wall Street Week. This 620 00:36:50,480 --> 00:36:53,839 Speaker 1: is a story about walking a tight rope. India Prime 621 00:36:53,840 --> 00:36:57,440 Speaker 1: Minister Modi is committed to making India and economic power 622 00:36:57,680 --> 00:37:00,640 Speaker 1: and capital markets are what provide businesses with the money 623 00:37:00,680 --> 00:37:03,480 Speaker 1: they need to start and to grow. But to do 624 00:37:03,520 --> 00:37:06,879 Speaker 1: that they need to encourage investors to take risks, enough 625 00:37:06,960 --> 00:37:10,360 Speaker 1: risk but not too much, a fine balance. We recently 626 00:37:10,400 --> 00:37:15,760 Speaker 1: saw lost in India's equity derivatives market. As a market 627 00:37:15,800 --> 00:37:19,800 Speaker 1: maker with a unique model, Jane Street's business makes bets 628 00:37:19,920 --> 00:37:24,160 Speaker 1: on inefficiencies in markets. Bloomberg reporter Catherine Doherty has been 629 00:37:24,200 --> 00:37:26,200 Speaker 1: reporting on its business in India. 630 00:37:27,080 --> 00:37:30,960 Speaker 20: Jane Street has kept its trading secrets close to their chest, 631 00:37:31,360 --> 00:37:34,000 Speaker 20: but it was really the Millennium lawsuit. 632 00:37:34,640 --> 00:37:38,400 Speaker 1: Jane Street saw an opportunity in India's equity markets, engaging 633 00:37:38,400 --> 00:37:41,400 Speaker 1: in a strategy called index arbitrage. 634 00:37:42,040 --> 00:37:45,799 Speaker 20: So the firm was essentially placing these large bets that 635 00:37:45,880 --> 00:37:49,680 Speaker 20: were then impacting the other side, and they were profiting 636 00:37:49,800 --> 00:37:53,040 Speaker 20: from the way that these markets were moving. So the 637 00:37:53,560 --> 00:37:57,680 Speaker 20: regulators in India have identified this as a manipulative trade, 638 00:37:58,000 --> 00:38:00,920 Speaker 20: and the firm has said it was a arbitrage trade 639 00:38:00,920 --> 00:38:02,200 Speaker 20: and not market manipulation. 640 00:38:03,280 --> 00:38:06,720 Speaker 1: India's market regulator, the Securities in Exchange Board of India 641 00:38:06,920 --> 00:38:10,440 Speaker 1: or SEB, banned Jane Street from the country's securities markets. 642 00:38:10,760 --> 00:38:13,960 Speaker 1: Jane Street has filed an appeal alleging that SEB denied 643 00:38:14,200 --> 00:38:20,319 Speaker 1: access to documents it needs to defend against market manipulation accusations. Ironically, 644 00:38:20,560 --> 00:38:24,080 Speaker 1: the problem with India's capital markets historically has not been 645 00:38:24,200 --> 00:38:27,800 Speaker 1: encouraging too much risk but too little. Nil As Shah 646 00:38:28,040 --> 00:38:31,120 Speaker 1: has watched the evolution of the country's capital markets as 647 00:38:31,120 --> 00:38:34,680 Speaker 1: the Managing Director of Kotak Mahindra Asset Management. 648 00:38:35,440 --> 00:38:39,960 Speaker 21: The Indian savings location is more tilted to its physical 649 00:38:40,000 --> 00:38:43,000 Speaker 21: as sets. We are one of the largest buyers of 650 00:38:43,080 --> 00:38:47,000 Speaker 21: gold in the world, putting anywhere between fifty to seventy 651 00:38:47,040 --> 00:38:50,840 Speaker 21: billion dollars annually. We also have love for real estate. 652 00:38:51,840 --> 00:38:55,319 Speaker 21: Capital market or financial savings itself is taken off in 653 00:38:55,440 --> 00:38:59,560 Speaker 21: recent times, but thanks to mutual funds, insurance industry and 654 00:38:59,600 --> 00:39:04,560 Speaker 21: bens funds, slowly and steadily a location to capital markets 655 00:39:04,640 --> 00:39:07,759 Speaker 21: both debt and equity is increasing rapidly. 656 00:39:08,560 --> 00:39:12,600 Speaker 1: India's transition to retail investing is still in its early stages, 657 00:39:12,920 --> 00:39:16,440 Speaker 1: but it is moving fast. One in five households today 658 00:39:16,520 --> 00:39:21,480 Speaker 1: whole shares are from one in fourteen. Just five years ago. 659 00:39:21,960 --> 00:39:25,960 Speaker 21: We launched an investor awareness program called Mutual Funds Sahih 660 00:39:26,400 --> 00:39:30,399 Speaker 21: Mutual funds are right thing to do and that has 661 00:39:30,440 --> 00:39:34,080 Speaker 21: helped us in mobilizing more and more retail savings into 662 00:39:34,200 --> 00:39:39,320 Speaker 21: mutual fund Our industry is growing at a phenetic pace 663 00:39:40,080 --> 00:39:43,240 Speaker 21: and I believe the najis from the regulator. The work 664 00:39:43,280 --> 00:39:47,080 Speaker 21: done by the regulator is laying the foundation. Now it 665 00:39:47,160 --> 00:39:49,840 Speaker 21: is up to us as an industry to carry forward. 666 00:39:49,920 --> 00:39:53,640 Speaker 1: The work. One measure of the expansion of Indian capital 667 00:39:53,680 --> 00:39:56,840 Speaker 1: markets is the success of its IPO market, which is 668 00:39:56,880 --> 00:39:58,600 Speaker 1: among the biggest in the world. 669 00:39:59,320 --> 00:40:04,120 Speaker 22: Last year, IPOs in India accounted for about twenty more 670 00:40:04,160 --> 00:40:07,320 Speaker 22: than twenty billion dollars US dollars. It was the number 671 00:40:07,440 --> 00:40:10,200 Speaker 22: two IPO market in the entire world. 672 00:40:10,719 --> 00:40:14,760 Speaker 1: Josh Felman is the principle at JH Consulting and advised 673 00:40:14,760 --> 00:40:18,200 Speaker 1: the Indian government on economic and financial matters during his 674 00:40:18,320 --> 00:40:22,239 Speaker 1: time as the Director of the IMF's India office. To date, 675 00:40:22,440 --> 00:40:27,239 Speaker 1: regulators have encouraged retail participation in IPOs, helping contribute to 676 00:40:27,360 --> 00:40:30,080 Speaker 1: overall retail participation in markets. 677 00:40:30,640 --> 00:40:34,800 Speaker 22: One thing that they've been fantastically successful in as opposed 678 00:40:34,840 --> 00:40:41,080 Speaker 22: to say China, is they've managed to get household participation 679 00:40:41,400 --> 00:40:42,640 Speaker 22: in the capital markets. 680 00:40:43,400 --> 00:40:46,880 Speaker 1: It's not all roses. Under the surface of India's blossoming 681 00:40:46,880 --> 00:40:51,080 Speaker 1: capital markets is a risk that threatens its stability derivatives. 682 00:40:51,880 --> 00:40:57,359 Speaker 22: About forty percent of derivative transactions are conducted by households 683 00:40:57,719 --> 00:41:00,600 Speaker 22: in India, which is an incredibly large number. So if 684 00:41:00,640 --> 00:41:04,440 Speaker 22: you take the derivatives market in particular, the regulator SEBI 685 00:41:04,840 --> 00:41:09,640 Speaker 22: did a study They found that last year about ninety 686 00:41:09,760 --> 00:41:14,319 Speaker 22: percent of the participants in the market lost money, and 687 00:41:14,760 --> 00:41:19,279 Speaker 22: they found that again about forty percent of them were 688 00:41:19,560 --> 00:41:23,480 Speaker 22: under thirty. Three quarters of them earned less than six 689 00:41:23,600 --> 00:41:24,879 Speaker 22: thousand dollars per year. 690 00:41:25,719 --> 00:41:29,120 Speaker 1: The growth in derivatives has caused a liquidity problem. 691 00:41:29,480 --> 00:41:31,840 Speaker 22: It is a fact that there are a large number 692 00:41:31,840 --> 00:41:36,279 Speaker 22: of unsophisticated investors. It is a fact that they have 693 00:41:36,560 --> 00:41:43,480 Speaker 22: very poor cash buffers. But what to do about it. 694 00:41:43,719 --> 00:41:46,360 Speaker 22: You don't want to push these people completely out of 695 00:41:46,400 --> 00:41:49,640 Speaker 22: the market. On the same time, you don't want to 696 00:41:49,760 --> 00:41:56,360 Speaker 22: unduly restrict the professional participants in the market, because they're 697 00:41:56,400 --> 00:42:01,319 Speaker 22: the ones who iron out the market inefficienties. So far, 698 00:42:01,520 --> 00:42:07,560 Speaker 22: it has not had any adverse impact on the ability 699 00:42:07,680 --> 00:42:09,920 Speaker 22: to raise money through the equity market. 700 00:42:10,800 --> 00:42:14,000 Speaker 1: Even if the ill liquidity in markets hasn't affected raising 701 00:42:14,120 --> 00:42:18,040 Speaker 1: capital to date, it has introduced a different kind of risk. 702 00:42:18,920 --> 00:42:23,120 Speaker 20: So in India, the options market is quite liquid, the 703 00:42:23,120 --> 00:42:28,080 Speaker 20: most liquid active market really across the globe. In the 704 00:42:28,200 --> 00:42:31,319 Speaker 20: US you also have a very liquid options market, but 705 00:42:31,440 --> 00:42:34,839 Speaker 20: the cash market, the equity market is also liquid. It's 706 00:42:34,880 --> 00:42:37,680 Speaker 20: also trading at high volumes, and it's moving very efficiently, 707 00:42:38,160 --> 00:42:42,000 Speaker 20: and the regulators really have a sense of the big 708 00:42:42,040 --> 00:42:45,319 Speaker 20: players and if there's any manipulation or if there's any 709 00:42:45,400 --> 00:42:48,560 Speaker 20: large moves, they're able to identify it very quickly. 710 00:42:49,520 --> 00:42:53,000 Speaker 1: India's financial regulator SEBBI has made an example out of 711 00:42:53,080 --> 00:42:55,759 Speaker 1: Jane Street and drawn a boundary in how far it's 712 00:42:55,800 --> 00:42:58,840 Speaker 1: willing to go to liberalize its markets, but keeping the 713 00:42:58,880 --> 00:43:02,480 Speaker 1: door open to foreign investors will be crucial for the country. 714 00:43:03,320 --> 00:43:06,000 Speaker 21: India is one of the most open economy in terms 715 00:43:06,000 --> 00:43:11,680 Speaker 21: of foreign direct investment. India's largest fmciti company, automobile company, 716 00:43:11,719 --> 00:43:17,600 Speaker 21: telecom company, mutual fund, private sector bank, insurance company. All 717 00:43:17,640 --> 00:43:21,479 Speaker 21: our majority owned by foreigners. There is hardly any other 718 00:43:21,560 --> 00:43:24,520 Speaker 21: country in the world where foreigners will be allowed to 719 00:43:24,560 --> 00:43:29,840 Speaker 21: own such kind of industry. However, can we improve further 720 00:43:30,000 --> 00:43:33,759 Speaker 21: upon this? My favorite example on foreign direct investment is 721 00:43:34,040 --> 00:43:38,319 Speaker 21: Maruti Suzuki. In the eighties, Suzuki came to set up 722 00:43:38,320 --> 00:43:41,759 Speaker 21: an automobile company in India. They have gone through the 723 00:43:41,840 --> 00:43:47,160 Speaker 21: ups and downs of India. Today, Maruti Suzuki, a fifty 724 00:43:47,200 --> 00:43:51,359 Speaker 21: three percent owned subsidiary of Suzuki, sells more automobiles in 725 00:43:51,360 --> 00:43:56,040 Speaker 21: India than what Suzuki sells worldwide, and Marutiya's delivered better 726 00:43:56,160 --> 00:44:03,360 Speaker 21: return than Suzuki Honda Toyota combined in the equity market 727 00:44:03,440 --> 00:44:06,319 Speaker 21: since it's listing in two thousand and three. 728 00:44:06,440 --> 00:44:09,719 Speaker 1: It isn't just equity markets that provide capital companies and 729 00:44:09,800 --> 00:44:12,360 Speaker 1: the debt side of the capital market. Equation may be 730 00:44:12,480 --> 00:44:15,280 Speaker 1: about to get a shot in the arm when Indian 731 00:44:15,360 --> 00:44:18,960 Speaker 1: government bonds are included in several foot Sea Russell bond 732 00:44:19,000 --> 00:44:20,440 Speaker 1: indexes this month. 733 00:44:21,239 --> 00:44:24,480 Speaker 21: Essentially, we have seen that whenever a country becomes part 734 00:44:24,560 --> 00:44:28,879 Speaker 21: of benchmarkt dices, both passive as well as active flow 735 00:44:28,960 --> 00:44:33,759 Speaker 21: starts flowing in. So inclusion infoot Sea government bond and 736 00:44:33,840 --> 00:44:40,040 Speaker 21: dices will undoubtedly increase our location tibets India more importantly 737 00:44:40,160 --> 00:44:43,840 Speaker 21: when you get an alternate source of funding. For example, 738 00:44:43,880 --> 00:44:47,560 Speaker 21: all domestic investors are generally on one side of liquidity 739 00:44:48,160 --> 00:44:52,080 Speaker 21: either it's high or it is low, but global investors 740 00:44:52,120 --> 00:44:53,959 Speaker 21: can bring balancing park. 741 00:44:55,200 --> 00:44:58,200 Speaker 1: Indian markets have come a long way in encouraging risk 742 00:44:58,239 --> 00:45:01,759 Speaker 1: taking among retail investors and offering channels of investment to 743 00:45:01,880 --> 00:45:05,000 Speaker 1: foreign investors, but Sha says that hasn't been enough to 744 00:45:05,000 --> 00:45:08,360 Speaker 1: support the risks inherent in generating the kind of innovation 745 00:45:08,719 --> 00:45:11,839 Speaker 1: that comes from the success and failures of startups. 746 00:45:12,840 --> 00:45:17,719 Speaker 21: Unfortunately, here, Indian capital market has not done a good 747 00:45:17,840 --> 00:45:23,000 Speaker 21: job maturity of our startups, both innovation as well as 748 00:45:23,080 --> 00:45:27,440 Speaker 21: otherwise have been funded by global private equity and venture 749 00:45:27,480 --> 00:45:32,120 Speaker 21: capital funds. It has been to some extent funded by 750 00:45:32,120 --> 00:45:37,040 Speaker 21: family offices and high networth individuals. Like the public market, 751 00:45:37,160 --> 00:45:42,360 Speaker 21: private market has not received encouraging participation from Indian capital. 752 00:45:42,760 --> 00:45:47,720 Speaker 21: The second thing is related to instruments. The private equity 753 00:45:47,840 --> 00:45:52,719 Speaker 21: market unlisted market is not as much regulated as the 754 00:45:52,760 --> 00:45:57,320 Speaker 21: public market is, so the domestic flows, domestic retail flows 755 00:45:57,360 --> 00:46:00,680 Speaker 21: have not moved into unlisted segment as much as it 756 00:46:00,719 --> 00:46:05,800 Speaker 21: should have done. The third and probably which is changing 757 00:46:05,880 --> 00:46:12,040 Speaker 21: rapidly is creation of angel networks. The whole purpose of 758 00:46:12,200 --> 00:46:16,840 Speaker 21: Ventua capital industry is to some extent go from monkey 759 00:46:16,880 --> 00:46:21,840 Speaker 21: to King Kong scenario. You invest in lots of monkeys, 760 00:46:22,120 --> 00:46:24,960 Speaker 21: some of them will grow to become gorilla, and one 761 00:46:25,000 --> 00:46:26,959 Speaker 21: of them will eventually become King Kong. 762 00:46:27,239 --> 00:46:30,719 Speaker 22: There was a lot of financing through venture capital through 763 00:46:30,760 --> 00:46:35,320 Speaker 22: private equity for Indian startups. People wanted to bring this 764 00:46:35,520 --> 00:46:40,120 Speaker 22: sort of it ecosystem that exists in the United States 765 00:46:40,560 --> 00:46:44,000 Speaker 22: into India. So, for example, food delivery firms, which has 766 00:46:44,239 --> 00:46:48,320 Speaker 22: proved to be an enormously big and very successful market 767 00:46:49,480 --> 00:46:56,680 Speaker 22: in India, ride hailing apps. All these things have been 768 00:46:57,000 --> 00:47:00,759 Speaker 22: started in India and have proved very successful. Full a 769 00:47:00,800 --> 00:47:05,959 Speaker 22: lot of them have. Firms have grown and exited through 770 00:47:07,000 --> 00:47:11,879 Speaker 22: the PE, firms have exited through IPOs. But of course, 771 00:47:11,920 --> 00:47:18,279 Speaker 22: more recently, as elsewhere, when interest rates moved off the 772 00:47:18,360 --> 00:47:21,480 Speaker 22: zero level, a lot of that financing has dried up. 773 00:47:22,120 --> 00:47:26,600 Speaker 1: Whether it's reforming taxes on securities transactions, or limiting speculation 774 00:47:26,680 --> 00:47:29,839 Speaker 1: and cash equities and derivative markets, or making sure both 775 00:47:29,880 --> 00:47:34,360 Speaker 1: debt and equities are supporting innovative new companies. India is moving, 776 00:47:34,680 --> 00:47:37,680 Speaker 1: trying to walk that tight rope of risk and stability 777 00:47:37,719 --> 00:47:41,080 Speaker 1: to support its economic growth, and its very motion means 778 00:47:41,160 --> 00:47:45,600 Speaker 1: that it can't come to arrest. That does it for us. 779 00:47:45,600 --> 00:47:48,080 Speaker 1: Here at Wall Street Week, I'm David Weston. See you 780 00:47:48,200 --> 00:48:02,799 Speaker 1: next week for more stories of capitalism