1 00:00:02,400 --> 00:00:15,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:13,960 --> 00:00:18,680 Speaker 2: A single best idea and the first conversation we have today. 3 00:00:18,680 --> 00:00:22,520 Speaker 2: I really need to explain the heritage of what we 4 00:00:22,600 --> 00:00:28,080 Speaker 2: do here is we don't prepare any questioning and long 5 00:00:28,120 --> 00:00:31,400 Speaker 2: ago and far away, I just I have no memory 6 00:00:31,440 --> 00:00:35,239 Speaker 2: of preparing for this. We came up with the idea 7 00:00:35,680 --> 00:00:40,280 Speaker 2: of rip up the script. I detest scripts with a passion. 8 00:00:40,840 --> 00:00:44,840 Speaker 2: We have scripted name and title of guests, and that's 9 00:00:44,960 --> 00:00:49,440 Speaker 2: really about all. We have wonderful biographies prepared by our team, 10 00:00:50,080 --> 00:00:52,479 Speaker 2: and there'll be a research note from somebody, or a 11 00:00:52,479 --> 00:00:56,240 Speaker 2: couple paragraphs or that. Maybe somebody will send in three 12 00:00:56,280 --> 00:00:59,640 Speaker 2: research notes. To be honest, I'll glance at them looking 13 00:00:59,720 --> 00:01:03,880 Speaker 2: for key ideas. But always we've had this idea and 14 00:01:03,920 --> 00:01:06,800 Speaker 2: the jargon is to prepare an audible where we rip 15 00:01:06,920 --> 00:01:10,120 Speaker 2: up the script. You get lucky if you have someone 16 00:01:10,200 --> 00:01:13,800 Speaker 2: like Ben Laidler now Bradesco, who has been the number 17 00:01:13,840 --> 00:01:16,840 Speaker 2: one call in this bull market going back to Christmas 18 00:01:16,920 --> 00:01:20,319 Speaker 2: Eve of twenty eighteen, and we're just to talk to 19 00:01:20,360 --> 00:01:24,039 Speaker 2: Ben Ladler about the stock market, about the nasdack up, 20 00:01:24,040 --> 00:01:28,720 Speaker 2: all this attention with technology, Microsoft earnings this afternoon and such. 21 00:01:29,319 --> 00:01:31,559 Speaker 2: But I had to rip up the script and asked 22 00:01:31,600 --> 00:01:37,840 Speaker 2: Ben Ladler about Venezuela, Latin America and his great em 23 00:01:37,920 --> 00:01:41,280 Speaker 2: experience going back to JP Morgan decades ago. 24 00:01:41,680 --> 00:01:48,320 Speaker 3: I think most investors are unfortunately spectators to this. Unfortunately, 25 00:01:48,520 --> 00:01:52,320 Speaker 3: i've the last thirty years Venezuela has just shrunk to 26 00:01:52,840 --> 00:01:57,000 Speaker 3: become a fraction besides economy, stock market, bond market that 27 00:01:57,360 --> 00:02:01,840 Speaker 3: it used to be. Hopes are the altar this turns 28 00:02:01,880 --> 00:02:04,360 Speaker 3: around and we see a reintegration of what used to 29 00:02:04,360 --> 00:02:06,720 Speaker 3: be one of the biggest richest economies in Latin America 30 00:02:07,200 --> 00:02:10,600 Speaker 3: back into the region. But right now I think, unfortunately 31 00:02:10,600 --> 00:02:12,960 Speaker 3: we're right at the beginning of that, or maybe at 32 00:02:13,000 --> 00:02:14,560 Speaker 3: the very earliest stages of that. 33 00:02:15,320 --> 00:02:18,519 Speaker 2: Ben Laidler and I can't say enough for the delicacies 34 00:02:18,560 --> 00:02:22,840 Speaker 2: of compliance and all that these are sometimes difficult questions 35 00:02:22,840 --> 00:02:25,799 Speaker 2: for our guests to answer given their remit of where 36 00:02:25,840 --> 00:02:28,680 Speaker 2: they are. We thank Ben Laidlor and Bridesco for some 37 00:02:28,760 --> 00:02:33,360 Speaker 2: real informative clarity there on the unrest in Venezuela. Also 38 00:02:33,560 --> 00:02:36,000 Speaker 2: thank you to ros Matheson, head of all of our 39 00:02:36,040 --> 00:02:40,240 Speaker 2: government coverage, for her clarity there on just the agenda 40 00:02:40,320 --> 00:02:44,280 Speaker 2: of Venezuela trying to get to Wednesday morning. We'll have 41 00:02:44,320 --> 00:02:48,680 Speaker 2: continued coverage from our offices in Caracas as well our 42 00:02:48,720 --> 00:02:53,000 Speaker 2: news bureau, I should say, in Caracas. So much coming up. 43 00:02:53,040 --> 00:02:54,880 Speaker 2: It is the busiest week of the summer. A FED 44 00:02:54,919 --> 00:02:58,280 Speaker 2: meeting tomorrow. We'll have the FED decides myself, John Pharaoh, 45 00:02:58,360 --> 00:03:00,560 Speaker 2: Lisa Bramwenttz will bring that to you at the one 46 00:03:00,680 --> 00:03:04,480 Speaker 2: thirty hour in the afternoon. Much more coming up as well, 47 00:03:04,560 --> 00:03:08,120 Speaker 2: Microsoft earnings to dive into the tech frenzy of the 48 00:03:08,160 --> 00:03:11,240 Speaker 2: next two three days. We'll do that in Nvidia, by 49 00:03:11,280 --> 00:03:14,200 Speaker 2: the way, later this month, much later, I believe the 50 00:03:14,280 --> 00:03:18,480 Speaker 2: date's August twenty eighth. Within this is the new dialogue 51 00:03:18,480 --> 00:03:20,639 Speaker 2: and the FED setting the marker for that was the 52 00:03:20,720 --> 00:03:23,800 Speaker 2: vice chairman, the former vice chairman of the FED, Alan 53 00:03:23,840 --> 00:03:27,079 Speaker 2: Blinder of Princeton. He's been a wonderful friend of the show, 54 00:03:27,080 --> 00:03:30,560 Speaker 2: who wrote a blistering Wall Street Journal piece on the 55 00:03:30,600 --> 00:03:35,880 Speaker 2: FED and seasonality. Mike Green quite astute. It's simplify us 56 00:03:35,880 --> 00:03:40,440 Speaker 2: at management. Mike Green on the silliness of our data dependency. 57 00:03:40,560 --> 00:03:43,120 Speaker 1: Anecdotes are data in one form or another, right, but 58 00:03:43,160 --> 00:03:46,120 Speaker 1: we need to actually have a theoretical model and understanding 59 00:03:46,200 --> 00:03:49,800 Speaker 1: of what's really going on. We are looking at components 60 00:03:49,880 --> 00:03:53,360 Speaker 1: of inflation that are deeply lagging, things like insurance that 61 00:03:53,600 --> 00:03:55,960 Speaker 1: ensures the value of the car as of last year, 62 00:03:56,200 --> 00:03:59,200 Speaker 1: right that it relates to behaviors of consumers who are 63 00:03:59,240 --> 00:04:04,920 Speaker 1: increasingly and deciding to sue people for compensation in a 64 00:04:05,000 --> 00:04:07,480 Speaker 1: variety of ways. We're seeing this insurance fraud is rising. 65 00:04:08,360 --> 00:04:11,600 Speaker 1: Those are not inflationary. Those are market pressures and market powers, 66 00:04:11,600 --> 00:04:13,880 Speaker 1: and the answer to them, of course, is fewer people 67 00:04:13,960 --> 00:04:17,000 Speaker 1: drive cars. That's going to end up playing out even 68 00:04:17,040 --> 00:04:18,120 Speaker 1: as the FED reacts. 69 00:04:18,920 --> 00:04:22,200 Speaker 2: Mike Green, a Simplify Asset Management major shout out ed 70 00:04:22,279 --> 00:04:24,520 Speaker 2: Ludlow's visiting us in New York this week. We're going 71 00:04:24,600 --> 00:04:26,960 Speaker 2: to have him in a couple times through the week 72 00:04:27,000 --> 00:04:29,880 Speaker 2: and we'll do the big tech thing in San Francisco 73 00:04:29,960 --> 00:04:33,200 Speaker 2: in that But we did a wonderful segment today. Look 74 00:04:33,240 --> 00:04:37,560 Speaker 2: for that on our replay out at Bloomberg Podcasts out 75 00:04:37,600 --> 00:04:41,000 Speaker 2: at Bloomberg Surveillance. There you'll find the three hour replay. 76 00:04:41,720 --> 00:04:46,160 Speaker 2: Halfway through it is Ed Ludlow on his experiment of 77 00:04:46,240 --> 00:04:49,240 Speaker 2: driving at Tesla with no hands on the steering wheel, 78 00:04:49,920 --> 00:04:53,040 Speaker 2: and he's been fabulous about putting this out on Twitter 79 00:04:53,720 --> 00:04:58,159 Speaker 2: and frankly terrifying. Was just the trip across the Golden 80 00:04:58,160 --> 00:05:02,560 Speaker 2: Gate Bridge in San Francisco, and it was pretty good 81 00:05:02,600 --> 00:05:06,440 Speaker 2: and pretty smooth, but there was a butt. And I 82 00:05:06,560 --> 00:05:09,920 Speaker 2: tell you, I don't understand where this self driving thing 83 00:05:10,160 --> 00:05:13,279 Speaker 2: is going to. I do understand. We're on Apple CarPlay. 84 00:05:13,360 --> 00:05:16,960 Speaker 2: Probably he was listening on Apple CarPlay to Bloomberg Surveillance 85 00:05:17,000 --> 00:05:18,840 Speaker 2: at four a m. Or whatever in the morning in 86 00:05:18,920 --> 00:05:23,360 Speaker 2: San Francisco on Android Auto and of course subscribe to 87 00:05:23,400 --> 00:05:28,400 Speaker 2: Bloomberg Podcasts Our foundational effort on YouTube on Apple Podcasts. 88 00:05:29,120 --> 00:05:38,960 Speaker 2: This is single best idea