1 00:00:00,440 --> 00:00:03,640 Speaker 1: Ever, dup c Ellen right, So to the Trump trading. Now, 2 00:00:03,720 --> 00:00:05,760 Speaker 1: these things are still writing. The Trump trades are still 3 00:00:05,800 --> 00:00:08,760 Speaker 1: riding high. A week on from the US election. Some 4 00:00:08,840 --> 00:00:11,360 Speaker 1: of the initial euphoria show signs of wearing off. A 5 00:00:11,440 --> 00:00:13,800 Speaker 1: question of course, is now how sustainable all of the 6 00:00:13,800 --> 00:00:16,000 Speaker 1: stuff is? And Sam Dickey from Fisher Funds is with 7 00:00:16,120 --> 00:00:17,599 Speaker 1: us right now. Sam, hello to you. 8 00:00:18,480 --> 00:00:18,760 Speaker 2: Hello. 9 00:00:19,320 --> 00:00:21,640 Speaker 1: So Sam, run me through who the in your eyes, 10 00:00:21,720 --> 00:00:24,200 Speaker 1: initially who the winners and losers of the Trump's trades were. 11 00:00:25,040 --> 00:00:27,800 Speaker 2: Yeah, we're not We're not through Rinston Trump yet, I hope, 12 00:00:27,840 --> 00:00:31,520 Speaker 2: but the winners initially with the US in general. So 13 00:00:31,720 --> 00:00:34,600 Speaker 2: it does feel like there's an enormous sucking sound on 14 00:00:34,720 --> 00:00:36,880 Speaker 2: equity markets around the world, and all this money is 15 00:00:36,920 --> 00:00:39,320 Speaker 2: flown out of global equity markets into the US equity 16 00:00:39,440 --> 00:00:42,720 Speaker 2: So now U s equities are up five percent and 17 00:00:42,800 --> 00:00:45,120 Speaker 2: Europe's down two in China found five, so that's sort 18 00:00:45,159 --> 00:00:47,040 Speaker 2: of seven to ten percent out performance in a few 19 00:00:47,080 --> 00:00:49,879 Speaker 2: days is pretty rare. And then the US dollars its 20 00:00:49,920 --> 00:00:53,600 Speaker 2: been a clear winner, appreciating against all comers really, and 21 00:00:53,640 --> 00:00:56,240 Speaker 2: then within the US it's kind of domestic facing, make 22 00:00:56,280 --> 00:00:59,600 Speaker 2: America great. US sectors were the initial winners. So steel 23 00:00:59,600 --> 00:01:02,840 Speaker 2: companies up thirteen percent, US trucking companies up ten. Of course, 24 00:01:02,840 --> 00:01:06,880 Speaker 2: big banks up ten percent, but perceived losers still are 25 00:01:07,080 --> 00:01:10,000 Speaker 2: bonds or a loser. People are selling bonds and sold 26 00:01:10,000 --> 00:01:12,240 Speaker 2: the companies was at abound ten or fifteen percent. 27 00:01:13,040 --> 00:01:15,440 Speaker 1: How sustainable do you think these moves are? 28 00:01:16,880 --> 00:01:18,360 Speaker 2: Well? I mean if we sort of pick on say 29 00:01:18,400 --> 00:01:21,720 Speaker 2: four of those asset classes, and we start with steel stocks, 30 00:01:21,760 --> 00:01:24,640 Speaker 2: because they are super interesting. They did rep high initially, 31 00:01:24,800 --> 00:01:28,319 Speaker 2: so everyone expected the first tariff he would throw on 32 00:01:28,480 --> 00:01:31,760 Speaker 2: China will be steel like in twenty sixteen, twenty seventeen. Now, 33 00:01:31,800 --> 00:01:34,080 Speaker 2: but what's super interesting is the steel stocks are now 34 00:01:34,160 --> 00:01:37,480 Speaker 2: back below where they were before Noald Trump was elected. 35 00:01:38,240 --> 00:01:40,400 Speaker 2: And what's happening there is, of course, is there's unintended 36 00:01:40,440 --> 00:01:42,560 Speaker 2: consequences of all of this. First and foremost by the 37 00:01:42,600 --> 00:01:46,680 Speaker 2: way he may not put these tariffs on. Secondly, if 38 00:01:46,920 --> 00:01:51,520 Speaker 2: you put a tariff on Chinese steel steel exports, that 39 00:01:51,600 --> 00:01:53,840 Speaker 2: drives up you u as steel prices. And I don't 40 00:01:53,840 --> 00:01:57,280 Speaker 2: think anyone in the US is buying stealers suddenly, say ten, fifteen, 41 00:01:57,360 --> 00:02:00,360 Speaker 2: twenty percent wealthyer and can afford that and see only 42 00:02:00,840 --> 00:02:02,800 Speaker 2: kind of what goes around comes around in any anti 43 00:02:02,920 --> 00:02:06,880 Speaker 2: China policy which impacts the Chinese economy, You've got to 44 00:02:06,920 --> 00:02:10,680 Speaker 2: remember that the biggest buyer of steel globally is China. 45 00:02:10,720 --> 00:02:13,000 Speaker 2: They have ten times the demand that the US have 46 00:02:13,600 --> 00:02:19,200 Speaker 2: some of these reflective second round impacts. And I guess 47 00:02:19,200 --> 00:02:22,840 Speaker 2: if we yes, no, no, no, no, I'm just going to stay. 48 00:02:23,240 --> 00:02:25,239 Speaker 2: If you go to the I mean US banks for 49 00:02:25,240 --> 00:02:28,160 Speaker 2: exhumble giant banks like JP Morgan up ten percent, talking 50 00:02:28,240 --> 00:02:30,880 Speaker 2: less regulation. So for everyone you regulation your acts ten 51 00:02:30,960 --> 00:02:33,200 Speaker 2: But if you go to the sort of slightly less 52 00:02:33,200 --> 00:02:36,920 Speaker 2: fundamental end of the spectrum, you know, Tesla, baskets of 53 00:02:37,000 --> 00:02:40,960 Speaker 2: unprofitable tech companies and Bitcoin all up almost exactly the 54 00:02:40,960 --> 00:02:43,799 Speaker 2: same amount, say twenty five to thirty percent, And that 55 00:02:43,840 --> 00:02:46,240 Speaker 2: tells me there's a lot of retail animal spirits at play. 56 00:02:46,320 --> 00:02:50,120 Speaker 2: So recall he was super pro bitcoin. But what I 57 00:02:50,240 --> 00:02:53,960 Speaker 2: find most remarkable of the Tesla move so Trump has 58 00:02:54,040 --> 00:02:57,160 Speaker 2: made the lelon. But that's a very valuable friendship. It's 59 00:02:57,160 --> 00:02:59,639 Speaker 2: worth quarter of a trillion dollars to Tesla's market cap. 60 00:03:00,080 --> 00:03:02,040 Speaker 1: Yeah, totally. Do you think the dusters, I mean, it's 61 00:03:02,040 --> 00:03:04,960 Speaker 1: it's probably too early for the dust to completely have settled. 62 00:03:04,680 --> 00:03:09,520 Speaker 2: Right, I think so yes, we'll see which tariffy rolls 63 00:03:09,520 --> 00:03:12,840 Speaker 2: out in which order. But I would wouldn't so much caution, 64 00:03:12,960 --> 00:03:15,760 Speaker 2: but encourage investors to look at second and third round impacts. 65 00:03:15,880 --> 00:03:19,000 Speaker 2: We think that still Stock example is a great example 66 00:03:19,040 --> 00:03:21,880 Speaker 2: that these things don't just happen in a vacuum. There 67 00:03:21,880 --> 00:03:24,800 Speaker 2: are unintended consequences. And the other thing to remember is, 68 00:03:26,040 --> 00:03:30,440 Speaker 2: you know, interest rates moving higher and ant anticipation of 69 00:03:30,480 --> 00:03:33,440 Speaker 2: a boost to you if economic growth. If that doesn't happen, 70 00:03:33,840 --> 00:03:35,960 Speaker 2: I will shift there, whether it be interest rates falling 71 00:03:36,040 --> 00:03:36,880 Speaker 2: or equities falling. 72 00:03:38,000 --> 00:03:40,360 Speaker 1: Sam, I don't want to, I mean I want you 73 00:03:40,400 --> 00:03:43,320 Speaker 1: to tell me obviously what investors should take away from this, 74 00:03:43,400 --> 00:03:45,760 Speaker 1: But would one of the things that investors wouldn't one 75 00:03:45,760 --> 00:03:47,640 Speaker 1: of the things be that you actually can't predict what 76 00:03:47,680 --> 00:03:49,400 Speaker 1: Donald Trump is going to do, and you'd be a 77 00:03:49,440 --> 00:03:50,080 Speaker 1: fool to try. 78 00:03:51,360 --> 00:03:54,080 Speaker 2: Yeah, that's rather again, like like we said last week, 79 00:03:54,120 --> 00:03:56,520 Speaker 2: I mean, back in twenty sixteen, everyone was convinced he 80 00:03:56,560 --> 00:03:59,040 Speaker 2: wouldn't get in, and then in the unlikely event he did, 81 00:03:59,520 --> 00:04:02,000 Speaker 2: stop my this would fall very sharply. Well, they were 82 00:04:02,000 --> 00:04:03,800 Speaker 2: wrong on both the cost last time, and here we 83 00:04:03,840 --> 00:04:06,480 Speaker 2: go again. Stop markets are predicting what he's going to do, 84 00:04:06,600 --> 00:04:09,240 Speaker 2: and he hadn't even really got to see it under 85 00:04:09,240 --> 00:04:10,720 Speaker 2: the desk, so let's wait and see. 86 00:04:10,960 --> 00:04:12,680 Speaker 1: Yeah too, right, Hey Sam, thank you for being a 87 00:04:12,720 --> 00:04:16,200 Speaker 1: cool head in all of this. Sam, Dickie Andficier funds 88 00:04:16,680 --> 00:04:18,919 Speaker 1: for more from Hither Duplessy Alan Drive. 89 00:04:19,080 --> 00:04:22,520 Speaker 2: Listen live to news talks it'd be from four pm weekdays, 90 00:04:22,600 --> 00:04:24,800 Speaker 2: or follow the podcast on iHeartRadio.