1 00:00:02,440 --> 00:00:22,240 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:14,360 --> 00:00:16,840 Speaker 2: Sing my best idea and we welcome all of you. 3 00:00:17,880 --> 00:00:21,919 Speaker 2: Two ideas from today's show, and they're very different ideas, 4 00:00:21,920 --> 00:00:26,639 Speaker 2: but yet they all close down to mathematics first in 5 00:00:26,680 --> 00:00:31,480 Speaker 2: an economics, investment, finance, and even a body of mathematics 6 00:00:31,480 --> 00:00:37,080 Speaker 2: and international relations. This is about Blackrock. Eric Belchunis on 7 00:00:37,479 --> 00:00:40,960 Speaker 2: Lawrence Fink and their huge commitment to the bitcoin market, 8 00:00:41,000 --> 00:00:46,720 Speaker 2: But first the actual use of mathematics at Blackrock. Jeffrey 9 00:00:46,800 --> 00:00:52,280 Speaker 2: Rosenberg is absolutely wonderful, prodigious mathematics out of Minnesota, out 10 00:00:52,280 --> 00:00:56,040 Speaker 2: of Wisconsin. And then on the acclaimed Tupper School at 11 00:00:56,040 --> 00:00:59,680 Speaker 2: Carnegie Mellon. We got into the weeds. I mean, I'm sorry, 12 00:01:00,080 --> 00:01:02,920 Speaker 2: or five people drove off the New York State Thruway 13 00:01:03,640 --> 00:01:06,200 Speaker 2: listen to this. I mean, I hope you're okay. But 14 00:01:06,480 --> 00:01:12,920 Speaker 2: Jeffrey Rosenberg here on this strange word in mathematics, uncertainty. 15 00:01:13,080 --> 00:01:15,520 Speaker 3: You know, it's interesting time you talk a lot about, 16 00:01:15,680 --> 00:01:17,840 Speaker 3: you know, the math and the science that we use, 17 00:01:18,000 --> 00:01:19,440 Speaker 3: and a lot of the math and the science that 18 00:01:19,480 --> 00:01:23,680 Speaker 3: we use is the mathematics of uncertainty rights. It's using 19 00:01:23,760 --> 00:01:29,759 Speaker 3: probability and statistics and risk models to try to quantify uncertainty, 20 00:01:29,800 --> 00:01:33,080 Speaker 3: because that's really what it's about. You know, the cop 21 00:01:33,080 --> 00:01:35,720 Speaker 3: Douglass function is nice. It gives you a very certain 22 00:01:35,840 --> 00:01:38,720 Speaker 3: form with a very uncertain input. And that's a lot 23 00:01:38,720 --> 00:01:41,400 Speaker 3: of what we see in kind of the mathematics of 24 00:01:41,480 --> 00:01:45,320 Speaker 3: economics is that there's a there's a proposal of how 25 00:01:45,360 --> 00:01:48,960 Speaker 3: the economy works, and it's very nice and clean. The 26 00:01:49,040 --> 00:01:51,600 Speaker 3: problem is a lot of the inputs are unknown, and 27 00:01:51,600 --> 00:01:54,160 Speaker 3: that's really what we're dealing with. Whether it's kind of 28 00:01:54,200 --> 00:01:58,520 Speaker 3: the role of AI, the role of technology in changing 29 00:01:58,600 --> 00:02:02,560 Speaker 3: total factor productivity and our inability to measure that, or 30 00:02:02,640 --> 00:02:05,639 Speaker 3: other things that we are talking about before in reference 31 00:02:05,720 --> 00:02:07,480 Speaker 3: to the tailor rule. The other you know, kind of 32 00:02:07,480 --> 00:02:11,120 Speaker 3: big uncertainty is you know, the real neutral rate, we 33 00:02:11,200 --> 00:02:14,200 Speaker 3: don't know what that real neutral rate is, or something 34 00:02:14,240 --> 00:02:16,440 Speaker 3: even more, you know, kind of basic, which is we 35 00:02:16,520 --> 00:02:20,240 Speaker 3: measure economic data that we think we know with certainty, 36 00:02:20,520 --> 00:02:24,560 Speaker 3: like growth and inflation or our payrolls or employment, we 37 00:02:24,600 --> 00:02:28,000 Speaker 3: measure it with error. So when there were revisions, there's 38 00:02:28,040 --> 00:02:30,360 Speaker 3: a lot, So it's really about dealing with that uncertainty. 39 00:02:30,760 --> 00:02:34,440 Speaker 2: Jeffrey Rosenberg there with blackrit just can't say enough about 40 00:02:34,480 --> 00:02:37,960 Speaker 2: his value add to all of Bloomberg's surveillance, including on 41 00:02:38,400 --> 00:02:41,760 Speaker 2: Job's Day, and of course the FED decides as well, 42 00:02:42,320 --> 00:02:45,120 Speaker 2: which brings it over to the leadership of Blackrock. Gary 43 00:02:45,160 --> 00:02:48,359 Speaker 2: Gensler went out and said, okay, into the bitcoin pool. 44 00:02:48,960 --> 00:02:51,680 Speaker 2: Everybody dived in, and many would say, no one more 45 00:02:52,360 --> 00:02:55,760 Speaker 2: than Blackrock. We are advantaged by the expertise of Eric 46 00:02:55,800 --> 00:03:00,240 Speaker 2: Belchunis with that question. If you're in a panel, you're 47 00:03:00,240 --> 00:03:03,800 Speaker 2: at a conference, when he speaks, the world stops and 48 00:03:03,840 --> 00:03:08,680 Speaker 2: everybody listens. Eric Belchunis on Blackrock and Bitcoin, Well, it is. 49 00:03:08,639 --> 00:03:12,000 Speaker 4: Such a small sliver of Larry's whole world. That's what 50 00:03:12,080 --> 00:03:13,960 Speaker 4: I told the crypto people. They think this is such 51 00:03:13,960 --> 00:03:18,240 Speaker 4: a big deal. It's a nice hit, but it's point 52 00:03:18,520 --> 00:03:22,160 Speaker 4: one percent of their revenue. So Larry is doing everything right. 53 00:03:22,200 --> 00:03:24,680 Speaker 4: In my opinion. To compete in the Vanguard era, you 54 00:03:24,760 --> 00:03:27,680 Speaker 4: have to hustle your butt off and go everywhere and 55 00:03:27,720 --> 00:03:30,400 Speaker 4: try everything pretty much and try to get new revenue streams. 56 00:03:30,400 --> 00:03:33,919 Speaker 4: So I just think he's just opportunistic, and you have 57 00:03:34,000 --> 00:03:36,520 Speaker 4: to be to compete with Vanguard, and BlackRock's the only 58 00:03:36,560 --> 00:03:40,520 Speaker 4: firm that competes with Vanguard regularly and does it well. 59 00:03:40,840 --> 00:03:44,200 Speaker 2: That's the most intelligent thing I've heard on this. Eric 60 00:03:44,200 --> 00:03:48,320 Speaker 2: belchunis there on the dash to bring in gazillions of 61 00:03:48,400 --> 00:03:53,280 Speaker 2: dollars off of bitcoin and frankly other digital currencies as 62 00:03:54,000 --> 00:03:57,120 Speaker 2: as well. Excuse me, we're into earning season, Jamie Diamond 63 00:03:57,160 --> 00:04:00,200 Speaker 2: with Lisa A. Bramowitz. So I guess be back New 64 00:04:00,280 --> 00:04:03,400 Speaker 2: York on Friday to go over earnings and JP Morgan 65 00:04:03,440 --> 00:04:06,480 Speaker 2: will bring you that coverage. Many worthy schedule there to 66 00:04:06,520 --> 00:04:10,840 Speaker 2: provide wisdom, and of course the inflation report on Thursday. 67 00:04:10,920 --> 00:04:14,920 Speaker 2: Really looking forward to that. We got PPI in CPI 68 00:04:15,480 --> 00:04:19,640 Speaker 2: and the jumble of it well, I think have some value. 69 00:04:19,640 --> 00:04:22,599 Speaker 2: But boy, if things shifted from a fifty basis point 70 00:04:22,600 --> 00:04:26,600 Speaker 2: to a twenty five basis point. Guests forward and Torsten 71 00:04:26,680 --> 00:04:30,240 Speaker 2: Slock today with Apollo Global Management, saying, look, there's just 72 00:04:30,279 --> 00:04:33,400 Speaker 2: too much buoyancy out there. You may see no more 73 00:04:33,520 --> 00:04:38,960 Speaker 2: rate cuts to the economy in twenty twenty four. We're 74 00:04:39,000 --> 00:04:42,120 Speaker 2: on on YouTube. Subscribe to Bloomberg Podcast growing every day. 75 00:04:42,560 --> 00:04:45,080 Speaker 2: Thank you so much. Thanks to Google for featuring the 76 00:04:45,120 --> 00:04:49,479 Speaker 2: show from time to time. Out on YouTube, on Android 77 00:04:49,480 --> 00:04:53,200 Speaker 2: Auto and Apple CarPlay on XM. 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