1 00:00:02,400 --> 00:00:15,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news, single best idea after 2 00:00:15,760 --> 00:00:19,560 Speaker 1: a wonderful trip to Boston. Thank you to President Collins 3 00:00:19,720 --> 00:00:24,520 Speaker 1: for her wonderful team with really interesting conversations at a 4 00:00:24,560 --> 00:00:28,800 Speaker 1: conference in Boston on payments, all sorts of highlights to 5 00:00:28,840 --> 00:00:31,280 Speaker 1: that the major highlight, and I really want to talk 6 00:00:31,360 --> 00:00:36,159 Speaker 1: here about sometimes the workload is overwhelming. Michael McKee in 7 00:00:36,240 --> 00:00:39,560 Speaker 1: one twenty four hour period a conversation with Susan Collins 8 00:00:40,000 --> 00:00:43,559 Speaker 1: and then with Austin Gouldsby of Chicago, that's a workload. 9 00:00:43,600 --> 00:00:45,479 Speaker 1: Those are two very different people. You got to be 10 00:00:45,520 --> 00:00:49,000 Speaker 1: on your game, and Mike McKee really delivered on Friday 11 00:00:49,040 --> 00:00:53,199 Speaker 1: for all of us at Bloomberg. We delivered today with 12 00:00:53,320 --> 00:00:56,720 Speaker 1: sort of a reset into November, into the end of 13 00:00:56,760 --> 00:00:59,280 Speaker 1: the year, Henrietta Tres with this and all that's going 14 00:00:59,320 --> 00:01:02,280 Speaker 1: on in Washington. You know the headlines and all that. 15 00:01:02,320 --> 00:01:05,200 Speaker 1: I want to go beneath the headline data on what's 16 00:01:05,240 --> 00:01:09,320 Speaker 1: going on in our politics. Here is Henrietta Tre's Eveda 17 00:01:09,480 --> 00:01:15,280 Speaker 1: partners on the nuances of the Senate, the House and recess. 18 00:01:15,480 --> 00:01:17,679 Speaker 2: I think, especially because there's going to be so many 19 00:01:17,720 --> 00:01:21,280 Speaker 2: freshmen senators, not just the turnover from the election, but 20 00:01:21,319 --> 00:01:23,920 Speaker 2: all the senators that I expect the president elected tap 21 00:01:24,160 --> 00:01:26,040 Speaker 2: to go into the administration. There could be as many 22 00:01:26,040 --> 00:01:28,959 Speaker 2: as nine freshman senators. And it's worth bearing in mind 23 00:01:29,120 --> 00:01:31,640 Speaker 2: that over seventy five percent of the House has only 24 00:01:31,680 --> 00:01:35,120 Speaker 2: ever had Donald Trump as their Republican president. So there 25 00:01:35,240 --> 00:01:39,039 Speaker 2: is this very real deference. Certainly it's held so far. 26 00:01:39,120 --> 00:01:41,480 Speaker 2: It's only been two weeks, of course, but this very 27 00:01:41,520 --> 00:01:44,559 Speaker 2: real deference. And I'd add on just one more layer 28 00:01:44,600 --> 00:01:46,800 Speaker 2: here that the president is so much more popular than 29 00:01:46,840 --> 00:01:49,320 Speaker 2: the down ballot Republicans. In some of these states, there 30 00:01:49,360 --> 00:01:52,000 Speaker 2: were as many as forty seven thousand Republican voters who 31 00:01:52,040 --> 00:01:53,960 Speaker 2: went in and pulled a lever for Trump and then 32 00:01:54,080 --> 00:01:56,840 Speaker 2: left the ballot box. They did not vote Republican down 33 00:01:56,920 --> 00:01:59,600 Speaker 2: the ticket. So a lot of those Republican members from 34 00:01:59,640 --> 00:02:02,720 Speaker 2: Spacific big swing states need to be differential to Trump 35 00:02:02,720 --> 00:02:04,280 Speaker 2: because that's what their voters want them to be. 36 00:02:04,560 --> 00:02:08,760 Speaker 1: Henrietta Trace absolutely brilliant there with some of the statistics, 37 00:02:08,800 --> 00:02:11,680 Speaker 1: the data of this moment we're living. And I'm so 38 00:02:11,800 --> 00:02:16,240 Speaker 1: guilty of this, of the framework that I have from 39 00:02:16,600 --> 00:02:19,760 Speaker 1: ten years ago, or twenty years ago, or frankly longer 40 00:02:19,800 --> 00:02:22,799 Speaker 1: back than that, and she brings it right up to 41 00:02:22,840 --> 00:02:26,560 Speaker 1: the immediacy of the Republicans in the House, and whatever 42 00:02:26,600 --> 00:02:28,880 Speaker 1: the statistic was she had that so many of them 43 00:02:29,760 --> 00:02:34,880 Speaker 1: only know President Donald Trump as a Republican president. We 44 00:02:35,000 --> 00:02:37,200 Speaker 1: moved on any number of discussions to look at, and 45 00:02:37,240 --> 00:02:39,600 Speaker 1: one of them, of course is ETFs and looking at 46 00:02:40,200 --> 00:02:43,120 Speaker 1: the leveraged ETFs that are out there, I guess you 47 00:02:43,120 --> 00:02:47,280 Speaker 1: get a speculative play. Amanda Rabella joined us some dws 48 00:02:47,560 --> 00:02:49,800 Speaker 1: here taking advantage of leverage. 49 00:02:49,960 --> 00:02:52,200 Speaker 3: The thing about the leverage ETFs is that it's not 50 00:02:53,200 --> 00:02:55,440 Speaker 3: two times on a long term basis or three times 51 00:02:55,520 --> 00:02:57,360 Speaker 3: on a long term basis. People need to understand this 52 00:02:57,440 --> 00:03:01,359 Speaker 3: is a volatility resetting a GB. It in an ETF 53 00:03:01,360 --> 00:03:05,080 Speaker 3: and ETN instructured products. So I think when we start 54 00:03:05,120 --> 00:03:09,240 Speaker 3: to see volatility increasing quite significantly, we're not at the 55 00:03:09,320 --> 00:03:12,720 Speaker 3: highs of the market, but we are kind of teetering upwards. 56 00:03:13,480 --> 00:03:15,440 Speaker 3: Then you start to see that the payoff doesn't work, 57 00:03:15,480 --> 00:03:18,520 Speaker 3: and we've decided we've made a conscious decision to not 58 00:03:18,639 --> 00:03:20,960 Speaker 3: be in the levered space here in the US. 59 00:03:21,120 --> 00:03:23,040 Speaker 1: I know I offered the triple leverage. 60 00:03:23,919 --> 00:03:25,600 Speaker 3: Why is that? I mean, it seems to be popular 61 00:03:25,639 --> 00:03:27,600 Speaker 3: products it would be, but I think that you know, 62 00:03:27,680 --> 00:03:30,400 Speaker 3: there are some fantastic you know, competitor peers that we 63 00:03:30,440 --> 00:03:32,840 Speaker 3: have in the market, like who already owned that space. 64 00:03:32,919 --> 00:03:34,720 Speaker 3: So so I think that you know, for the past 65 00:03:35,160 --> 00:03:37,600 Speaker 3: couple of years, or you're in a bit, cash has 66 00:03:37,680 --> 00:03:41,200 Speaker 3: yielded enough and it's you know, effectively risk free, that 67 00:03:41,680 --> 00:03:44,720 Speaker 3: rotating into cash could have made sense all of us. 68 00:03:44,760 --> 00:03:47,920 Speaker 3: You know, when we think about income requirements within portfolios, 69 00:03:48,000 --> 00:03:50,320 Speaker 3: you know, now five became the new normal, little bit, 70 00:03:50,360 --> 00:03:51,920 Speaker 3: and so we need to think about how we're still 71 00:03:51,960 --> 00:03:55,720 Speaker 3: going to generate that five. So we like international dividends 72 00:03:55,760 --> 00:03:56,560 Speaker 3: a lot. 73 00:03:56,560 --> 00:03:59,240 Speaker 1: Amanda, Abella DWS. I do want to point out us 74 00:03:59,440 --> 00:04:02,640 Speaker 1: Eric Biltchu has joined us from Bloomberg at ETFs. He 75 00:04:02,760 --> 00:04:08,000 Speaker 1: was absolutely mesmerizing on this moment of exchange traded funds 76 00:04:08,520 --> 00:04:11,160 Speaker 1: and bitcoin look for that across all of Bloomberg. He said, 77 00:04:11,160 --> 00:04:14,960 Speaker 1: he's got an incredibly busy Monday here doing all sorts 78 00:04:14,960 --> 00:04:19,200 Speaker 1: of different projects for his ETF mission. We say thank 79 00:04:19,240 --> 00:04:23,440 Speaker 1: you to you on YouTube, We're out. Subscribe to Bloomberg podcasts, 80 00:04:23,520 --> 00:04:26,960 Speaker 1: The Commute, Apple Car Play, Android Auto Good Morning on 81 00:04:27,080 --> 00:04:29,440 Speaker 1: Sirius XM. They sat me down like ten days ago 82 00:04:29,520 --> 00:04:33,200 Speaker 1: and said, hey, dummy, serious. XM's a huge market for us, 83 00:04:33,240 --> 00:04:36,080 Speaker 1: and I say thank you across the nation for that. 84 00:04:36,640 --> 00:04:39,160 Speaker 1: Good Morning ninety nine one FM in Washington, ninety two 85 00:04:39,240 --> 00:04:43,200 Speaker 1: nine FM and Boston, and of course Bloomberg eleven three 86 00:04:43,200 --> 00:04:45,880 Speaker 1: to zero in New York. We are out quickest way 87 00:04:45,880 --> 00:04:49,920 Speaker 1: to get us YouTube podcasts. This is single best idea. 88 00:05:00,040 --> 00:05:02,719 Speaker 2: The LAS