1 00:00:02,720 --> 00:00:07,200 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,920 --> 00:00:11,840 Speaker 2: It has been a wild few weeks in markets. In 3 00:00:11,920 --> 00:00:16,000 Speaker 2: late February, the Nasdaq one hundred index hit another record high, 4 00:00:16,120 --> 00:00:18,680 Speaker 2: topping out months of gains that followed the election of 5 00:00:18,720 --> 00:00:19,360 Speaker 2: Donald Trump. 6 00:00:20,640 --> 00:00:24,600 Speaker 1: There really was sort of a sugar rush across Wall Street, 7 00:00:24,800 --> 00:00:28,120 Speaker 1: even across Main Street with a lot of retail traders, 8 00:00:28,880 --> 00:00:33,680 Speaker 1: and there was this excitement in certain corners that deregulation, 9 00:00:34,320 --> 00:00:39,760 Speaker 1: low taxes, in embrace of cryptocurrencies would really boost markets 10 00:00:39,840 --> 00:00:41,680 Speaker 1: and would boost the American economy. 11 00:00:42,240 --> 00:00:45,960 Speaker 2: Charlie Wells covers Personal Finance for Bloomberg, and he says 12 00:00:46,080 --> 00:00:50,519 Speaker 2: that now that picture is changing because those gains that 13 00:00:50,640 --> 00:00:53,000 Speaker 2: followed Trump's s election, well. 14 00:00:53,400 --> 00:00:57,640 Speaker 1: They have been entirely erased. So from the moment that 15 00:00:57,680 --> 00:01:00,840 Speaker 1: he was elected until now, we're really seeing a reversal. 16 00:01:00,880 --> 00:01:03,640 Speaker 2: There By last week, the S and P five hundred 17 00:01:03,680 --> 00:01:06,560 Speaker 2: had wiped out all the value it's added since election day, 18 00:01:07,000 --> 00:01:10,880 Speaker 2: three point four trillion dollars worth. The Nasdaq one hundred 19 00:01:11,040 --> 00:01:14,800 Speaker 2: tumbled around three percent Monday morning, extending a selloff that's 20 00:01:14,840 --> 00:01:19,160 Speaker 2: put it into correction. Territory investors were watching over the weekend. 21 00:01:19,319 --> 00:01:22,560 Speaker 2: When Trump was asked on Fox News' Sunday Morning Futures 22 00:01:22,680 --> 00:01:24,680 Speaker 2: about the possibility of a recession. 23 00:01:25,319 --> 00:01:26,840 Speaker 1: I hate to predict things like that. 24 00:01:27,600 --> 00:01:31,520 Speaker 2: There is a period of transition because what we're doing 25 00:01:31,600 --> 00:01:35,720 Speaker 2: is very big recession predictions. Aside, the market volatility is 26 00:01:35,800 --> 00:01:39,520 Speaker 2: expected to continue as investors struggled to price assets in 27 00:01:39,560 --> 00:01:43,480 Speaker 2: a new world order created by the administration shifting tariff 28 00:01:43,520 --> 00:01:46,040 Speaker 2: plans for China, Canada, and Mexico. 29 00:01:46,440 --> 00:01:49,360 Speaker 1: So there was that idea of the Trump bomb, and 30 00:01:49,480 --> 00:01:52,160 Speaker 1: now there's a sense that people might need to prepare 31 00:01:52,200 --> 00:01:53,360 Speaker 1: for a Trump slump. 32 00:01:59,040 --> 00:02:01,560 Speaker 2: I'm Sarah Holder, and this is the big take from 33 00:02:01,600 --> 00:02:05,360 Speaker 2: Bloomberg News today on the show. Is the Trump bump 34 00:02:05,520 --> 00:02:09,560 Speaker 2: becoming the Trump slump? And in an era of market whiplash, 35 00:02:09,680 --> 00:02:17,959 Speaker 2: what do experts say you should do with your money? 36 00:02:18,680 --> 00:02:22,040 Speaker 2: The optimism boosting markets after the election has started to 37 00:02:22,040 --> 00:02:25,880 Speaker 2: give way to pessimism. So I asked Bloomberg's Charlie Wells 38 00:02:25,960 --> 00:02:29,440 Speaker 2: to explain the shift. How much of this current volatility 39 00:02:29,600 --> 00:02:33,240 Speaker 2: is about Trump's tariff plan and how chaotically it's been 40 00:02:33,320 --> 00:02:34,040 Speaker 2: rolled out. 41 00:02:34,200 --> 00:02:36,519 Speaker 1: Yeah, so, Well, a lot of the more recent selling 42 00:02:36,520 --> 00:02:38,480 Speaker 1: off that we've seen in the market does have to 43 00:02:38,480 --> 00:02:41,280 Speaker 1: do with Trump's tariff policies, and on the campaign trail 44 00:02:41,720 --> 00:02:44,400 Speaker 1: he talked about tariffs. It almost sounded as if he 45 00:02:44,480 --> 00:02:47,560 Speaker 1: were kind of using tariffs in his second campaign, that 46 00:02:47,680 --> 00:02:49,639 Speaker 1: he was using the wall and building the wall in 47 00:02:49,680 --> 00:02:52,120 Speaker 1: the first campaign. It was the sort of panacea, a 48 00:02:52,200 --> 00:02:54,240 Speaker 1: kind of thing that would you fix the American economy, 49 00:02:54,240 --> 00:02:56,560 Speaker 1: it would fix drugs, it would fix crime, et cetera. 50 00:02:57,200 --> 00:02:59,880 Speaker 1: And if you kind of zoom out from the Base 51 00:03:00,080 --> 00:03:02,600 Speaker 1: to Wall Street, a lot of people sitting at those 52 00:03:02,639 --> 00:03:06,959 Speaker 1: trading desks weren't taking those threats of tariffs seriously. They 53 00:03:07,040 --> 00:03:09,680 Speaker 1: really thought that the bark there would be louder than 54 00:03:09,720 --> 00:03:12,920 Speaker 1: the bite. But what we saw was that Trump was 55 00:03:12,960 --> 00:03:16,000 Speaker 1: pretty serious. So when those tariffs came into effect, you 56 00:03:16,120 --> 00:03:19,560 Speaker 1: saw a deep sell off, But then you had indications 57 00:03:19,560 --> 00:03:22,560 Speaker 1: from policymakers that, you know, maybe there would be reprieve. 58 00:03:23,080 --> 00:03:26,280 Speaker 1: We ultimately saw a delay on a number of those tariffs, 59 00:03:26,560 --> 00:03:29,800 Speaker 1: and so that created this kind of like jagged line 60 00:03:29,919 --> 00:03:31,960 Speaker 1: in market charts, and that's where a lot of the 61 00:03:32,000 --> 00:03:34,200 Speaker 1: volatility most recently has been coming from. 62 00:03:34,720 --> 00:03:38,440 Speaker 2: Did Trump delaying imposing tariffs on Mexico and Canada until 63 00:03:38,480 --> 00:03:41,160 Speaker 2: next month offer any market relief. 64 00:03:41,320 --> 00:03:43,440 Speaker 1: Fits and starts? I would say and I think this 65 00:03:43,480 --> 00:03:46,360 Speaker 1: gets at a bigger issue that we're not really hearing 66 00:03:46,400 --> 00:03:48,600 Speaker 1: from CEOs right now. I think there's a lot of 67 00:03:48,680 --> 00:03:53,520 Speaker 1: concern in corporate America about saying anything that could target them, 68 00:03:53,720 --> 00:03:55,840 Speaker 1: and that could target them in the eyes of Trump. 69 00:03:56,360 --> 00:03:59,560 Speaker 1: But what we know about executives is that they like certainty. 70 00:03:59,680 --> 00:04:01,880 Speaker 1: They like to know what's going to happen, because they 71 00:04:01,880 --> 00:04:04,840 Speaker 1: are making orders so much further in advance, and a 72 00:04:04,840 --> 00:04:08,280 Speaker 1: lot of consumers are thinking about and if they suddenly 73 00:04:08,320 --> 00:04:11,520 Speaker 1: think there may or may not be a twenty five 74 00:04:11,520 --> 00:04:14,440 Speaker 1: percent tariff on the goods that they use to make 75 00:04:14,600 --> 00:04:17,600 Speaker 1: their products, it's going to be really difficult for them. 76 00:04:17,800 --> 00:04:19,920 Speaker 2: You know. Trump has said his decision to change course 77 00:04:19,960 --> 00:04:23,160 Speaker 2: on tariff's at least momentarily didn't have anything to do 78 00:04:23,400 --> 00:04:26,359 Speaker 2: with the negative market reaction we were seeing. What do 79 00:04:26,400 --> 00:04:27,000 Speaker 2: you make of that? 80 00:04:27,560 --> 00:04:30,320 Speaker 1: Yeah, I mean some of the timing on this was striking. 81 00:04:30,440 --> 00:04:33,640 Speaker 1: I think, you know, we saw a sell off, and 82 00:04:33,680 --> 00:04:35,920 Speaker 1: then very soon thereafter Trump talking about how he doesn't 83 00:04:35,920 --> 00:04:39,000 Speaker 1: pay attention to the market. But one of the things 84 00:04:39,080 --> 00:04:42,000 Speaker 1: that people in DC always say is that Trump uses 85 00:04:42,120 --> 00:04:44,720 Speaker 1: the stock market as sort of a live opinion pollar 86 00:04:44,760 --> 00:04:47,800 Speaker 1: barometer of how well he's doing. He really, you know, 87 00:04:48,000 --> 00:04:51,960 Speaker 1: sees it as incredibly important. I think it's tough to say, though, 88 00:04:52,240 --> 00:04:56,839 Speaker 1: how much the performance of the stock market would be 89 00:04:56,920 --> 00:05:00,800 Speaker 1: influencing his kind of tit for tat kind of swings 90 00:05:00,839 --> 00:05:04,120 Speaker 1: on policy. But you know, I think we also need 91 00:05:04,160 --> 00:05:06,800 Speaker 1: to make the broader point that this isn't just Trump, right, 92 00:05:07,000 --> 00:05:09,080 Speaker 1: So this does have to do with the fact that 93 00:05:09,120 --> 00:05:11,320 Speaker 1: the market has been doing so well, and over the 94 00:05:11,360 --> 00:05:14,880 Speaker 1: past few years, we've heard people talk about, you know, 95 00:05:15,160 --> 00:05:19,240 Speaker 1: a correction coming. We have heard analysts, you know, across 96 00:05:19,279 --> 00:05:22,479 Speaker 1: the board talk about how in particular, tech was just 97 00:05:22,680 --> 00:05:27,400 Speaker 1: overvalued and that there was so much optimism about AI 98 00:05:27,640 --> 00:05:31,479 Speaker 1: in particular that at some point, you know, there could 99 00:05:31,520 --> 00:05:34,080 Speaker 1: be a pullback. And I think that is something that's 100 00:05:34,120 --> 00:05:36,400 Speaker 1: also kind of been in play here. And so over 101 00:05:36,440 --> 00:05:39,840 Speaker 1: the past few weeks, tech companies had been reporting earnings 102 00:05:40,360 --> 00:05:44,839 Speaker 1: and Wall Street had really been hoping to see incredibly 103 00:05:44,880 --> 00:05:47,720 Speaker 1: strong growth here to kind of meet the expectations, and 104 00:05:47,760 --> 00:05:48,600 Speaker 1: that just wasn't met. 105 00:05:49,080 --> 00:05:52,599 Speaker 2: Right we saw with the release of China's Deepseek AI 106 00:05:53,520 --> 00:05:56,760 Speaker 2: version just a few weeks ago that caused another huge 107 00:05:56,760 --> 00:05:59,800 Speaker 2: market reaction, erasing a lot of the games that tech had. 108 00:05:59,640 --> 00:06:02,520 Speaker 1: Made exactly, and that was this idea that you know, 109 00:06:02,720 --> 00:06:04,919 Speaker 1: a lot of the mag seven companies, a lot of 110 00:06:04,960 --> 00:06:09,680 Speaker 1: tech companies have been spending so much money on AI investments, 111 00:06:10,000 --> 00:06:13,000 Speaker 1: and along comes this kind of cheaper Chinese alternative that 112 00:06:13,080 --> 00:06:16,080 Speaker 1: might not require as much spending, and so that took 113 00:06:16,160 --> 00:06:18,000 Speaker 1: some of the wind out of the sales of these 114 00:06:18,000 --> 00:06:21,360 Speaker 1: tech companies that really have been propelling the markets over 115 00:06:21,360 --> 00:06:22,159 Speaker 1: the past two years. 116 00:06:22,680 --> 00:06:24,200 Speaker 2: I want to take a closer look at some of 117 00:06:24,240 --> 00:06:28,520 Speaker 2: these market swings we've been seeing across stocks, bonds, crypto. 118 00:06:28,839 --> 00:06:31,120 Speaker 2: Where are we seeing the most volatility and where are 119 00:06:31,120 --> 00:06:32,520 Speaker 2: we seeing the most stability. 120 00:06:33,160 --> 00:06:35,200 Speaker 1: Yeah, so you're seeing a lot of volatility and some 121 00:06:35,279 --> 00:06:37,760 Speaker 1: of these riskier corners of the market. I'm thinking about 122 00:06:37,760 --> 00:06:42,160 Speaker 1: particular cryptos. I'm thinking about stocks that traders love to short. 123 00:06:42,560 --> 00:06:47,440 Speaker 1: And you know, before the market sentiment shifted a few 124 00:06:47,440 --> 00:06:51,279 Speaker 1: weeks ago, there really was this kind of risk on appetite. 125 00:06:51,279 --> 00:06:53,760 Speaker 1: There was a sense that things could carry on and 126 00:06:53,839 --> 00:06:57,760 Speaker 1: that money could be made in this Trump infused environment, 127 00:06:58,240 --> 00:07:00,880 Speaker 1: and that's where you're seeing a lot of pullback. Bitcoin. 128 00:07:01,120 --> 00:07:04,200 Speaker 1: You know, you're seeing a huge tip there, but also 129 00:07:04,400 --> 00:07:08,840 Speaker 1: the Nasdaq right that entered correction, territory, and that speaks 130 00:07:08,839 --> 00:07:12,280 Speaker 1: of the sort of twin issue of Trump terraff uncertainty, 131 00:07:12,600 --> 00:07:15,760 Speaker 1: but also a reassessment of tech. 132 00:07:18,240 --> 00:07:23,040 Speaker 2: What about stability? Are there any stocks, currencies, bonds that 133 00:07:23,200 --> 00:07:25,679 Speaker 2: are kind of holding steady and have not been as 134 00:07:25,840 --> 00:07:28,760 Speaker 2: impacted by the kind of volatility we're seeing elsewhere. 135 00:07:29,160 --> 00:07:32,600 Speaker 1: Yeah, So you know, the big take here is that 136 00:07:33,040 --> 00:07:35,840 Speaker 1: the rally is broadening out, and so you're sort of 137 00:07:35,880 --> 00:07:39,360 Speaker 1: seeing a shift away from these big tech names and 138 00:07:39,360 --> 00:07:42,200 Speaker 1: you're seeing a shift towards companies that maybe more reflect 139 00:07:42,320 --> 00:07:46,080 Speaker 1: or broader picture of the US economy. Analysts talk a 140 00:07:46,120 --> 00:07:49,400 Speaker 1: lot about the equal weighted SNP, which kind of is 141 00:07:49,440 --> 00:07:53,240 Speaker 1: a slightly better representation as opposed to the market cap unweighted, 142 00:07:53,240 --> 00:07:55,600 Speaker 1: which gets a lot of tech, And so you're seeing 143 00:07:55,600 --> 00:07:59,080 Speaker 1: some stability there. A take too from a lot of 144 00:07:59,240 --> 00:08:03,440 Speaker 1: experts in this is that when there is more volatility, 145 00:08:03,480 --> 00:08:05,600 Speaker 1: when there is more uncertainty, you want to look at 146 00:08:05,640 --> 00:08:09,760 Speaker 1: companies that are more necessary, they're not as discretionary. So 147 00:08:09,800 --> 00:08:12,440 Speaker 1: these are things like consumer staples. These are things like 148 00:08:12,480 --> 00:08:16,920 Speaker 1: healthcare that regardless of what things cost because of tariffs, 149 00:08:16,920 --> 00:08:20,520 Speaker 1: regardless of how people are feeling, Americans are still going 150 00:08:20,560 --> 00:08:22,120 Speaker 1: to buy and use those services. 151 00:08:23,800 --> 00:08:27,600 Speaker 2: So, with everyone from CEOs to consumers stealing themselves from 152 00:08:27,640 --> 00:08:32,160 Speaker 2: more economic uncertainty, what do experts say investors should do? 153 00:08:32,920 --> 00:08:46,880 Speaker 2: That's after the break. Well, Charlie, on your beat, you 154 00:08:46,920 --> 00:08:49,720 Speaker 2: speak with a lot of experts on personal finance. You've 155 00:08:50,040 --> 00:08:53,040 Speaker 2: drawn from their expertise already in this conversation. But what 156 00:08:53,080 --> 00:08:56,680 Speaker 2: are they saying generally about how everyday investors should be 157 00:08:56,720 --> 00:08:59,040 Speaker 2: thinking about the market right now. People who might be 158 00:08:59,200 --> 00:09:02,360 Speaker 2: retail invests or nervously watching their four oh one case, 159 00:09:03,520 --> 00:09:05,280 Speaker 2: what should they be thinking about. 160 00:09:05,480 --> 00:09:08,440 Speaker 1: Yeah, I think there's a little bit of a divide here. 161 00:09:08,840 --> 00:09:12,000 Speaker 1: The overarching take is stay the course, don't make any 162 00:09:12,040 --> 00:09:16,360 Speaker 1: drastic changes. But sometimes I'll push these analysts, sometimes I'll 163 00:09:16,360 --> 00:09:19,280 Speaker 1: push these advisors to ask, all right, let's say someone's 164 00:09:19,320 --> 00:09:22,520 Speaker 1: got everything handled. Let's say they've got their retirement account. 165 00:09:22,640 --> 00:09:25,600 Speaker 1: That's good, but they've got, say, a brokerage account, They've 166 00:09:25,600 --> 00:09:28,599 Speaker 1: got some investments that they can actually work with, and 167 00:09:28,679 --> 00:09:31,600 Speaker 1: they had some interesting ideas over the past couple days. 168 00:09:31,760 --> 00:09:33,400 Speaker 2: Tell us what are the ideas? 169 00:09:33,880 --> 00:09:37,840 Speaker 1: Okay? So one of the points that Katie Nixon at 170 00:09:37,960 --> 00:09:40,280 Speaker 1: Northern Trust Wealth Management told me we had a really 171 00:09:40,320 --> 00:09:44,640 Speaker 1: good conversation, and she talked about looking at specific industries 172 00:09:44,640 --> 00:09:48,320 Speaker 1: that do well in volatile times. So these as we 173 00:09:48,360 --> 00:09:51,840 Speaker 1: were talking about, are those more kind of non discretionary, 174 00:09:51,880 --> 00:09:57,680 Speaker 1: those consumers, staples, those healthcare companies, And that intuitively makes sense, right, 175 00:09:57,920 --> 00:10:00,400 Speaker 1: But she made an even better point, which is, don't 176 00:10:00,480 --> 00:10:05,199 Speaker 1: just look for industries, look at companies within those industries 177 00:10:05,240 --> 00:10:07,720 Speaker 1: that are quality. And the focus really there is on 178 00:10:07,800 --> 00:10:11,280 Speaker 1: companies that they've got solid earnings, they've got solid financials, 179 00:10:11,280 --> 00:10:14,080 Speaker 1: and so sure, find the sector that works. 180 00:10:14,080 --> 00:10:17,800 Speaker 2: But do your homework tech stocks, should you buy, should 181 00:10:17,840 --> 00:10:20,800 Speaker 2: you hold off? What are you hearing and why is 182 00:10:20,840 --> 00:10:22,360 Speaker 2: there such a disagreement there? 183 00:10:22,760 --> 00:10:24,440 Speaker 1: Yes, this is such a good question. And one of 184 00:10:24,440 --> 00:10:28,480 Speaker 1: my barometers of what's kind of cutting through from you know, 185 00:10:28,520 --> 00:10:31,400 Speaker 1: Wall Street to main Street is my brother's kind of 186 00:10:31,640 --> 00:10:36,200 Speaker 1: brofessional text message group. He is in New York. He's 187 00:10:36,200 --> 00:10:38,400 Speaker 1: friends with a lot of kind of you know, thirty 188 00:10:38,480 --> 00:10:41,679 Speaker 1: forty something lawyers. And one of the debates that's been 189 00:10:41,679 --> 00:10:44,079 Speaker 1: resurfacing in that text for he'll send me screenshots I've 190 00:10:44,080 --> 00:10:47,680 Speaker 1: got proof is questions about tech and a lot of 191 00:10:47,720 --> 00:10:51,320 Speaker 1: people have exposure that they know about to text stocks. 192 00:10:51,440 --> 00:10:53,800 Speaker 1: A lot of people don't. So if you look under 193 00:10:53,840 --> 00:10:55,719 Speaker 1: the hood of your four oh one K, you might 194 00:10:55,760 --> 00:10:58,200 Speaker 1: be surprised to find out some of the biggest holdings 195 00:10:58,240 --> 00:11:02,280 Speaker 1: are Max seven names. So there's concern about, you know, 196 00:11:02,440 --> 00:11:04,520 Speaker 1: how far does this rally and tech have to go. 197 00:11:04,920 --> 00:11:07,760 Speaker 1: The divide here is do you sell or do you hold? 198 00:11:08,160 --> 00:11:10,720 Speaker 1: And I think one of the points an advisor from 199 00:11:10,800 --> 00:11:14,680 Speaker 1: California made to me last week was you might take 200 00:11:14,720 --> 00:11:17,280 Speaker 1: this dip as a buying opportunity. And that's something that 201 00:11:17,320 --> 00:11:19,440 Speaker 1: we know, you know, Wall Street will do from time 202 00:11:19,440 --> 00:11:23,040 Speaker 1: to time. You see Amazon stocks, you know, go down 203 00:11:23,160 --> 00:11:24,480 Speaker 1: just a little bit and you think, all right, that's 204 00:11:24,520 --> 00:11:27,600 Speaker 1: a good discount. I see that. You know, Amazon's got 205 00:11:27,600 --> 00:11:30,920 Speaker 1: strong fundamentals. Their earnings reports were pretty good, their projections 206 00:11:30,920 --> 00:11:33,360 Speaker 1: going forward were good. And so that is a take 207 00:11:33,480 --> 00:11:37,000 Speaker 1: that some analysts have. The others would say, you know what, 208 00:11:37,280 --> 00:11:41,000 Speaker 1: maybe you've kind of juiced enough out of that tech orange. 209 00:11:41,360 --> 00:11:44,679 Speaker 1: Drink that and take that energy you've got. And I'm 210 00:11:44,720 --> 00:11:49,319 Speaker 1: really making a metaphor here, but go on me exactly. 211 00:11:49,360 --> 00:11:51,360 Speaker 1: I like that take take that immunity defense and go 212 00:11:51,440 --> 00:11:53,720 Speaker 1: invest in a healthcare stock, which you know is probably 213 00:11:53,760 --> 00:11:57,520 Speaker 1: going to do better. It's going to perform fairly well 214 00:11:57,559 --> 00:11:58,880 Speaker 1: regardless of market sentiment. 215 00:11:59,360 --> 00:12:01,760 Speaker 2: This is a really silly question that I'm sure a 216 00:12:01,800 --> 00:12:04,240 Speaker 2: lot of the personal finance experts you speak to would 217 00:12:04,480 --> 00:12:06,920 Speaker 2: laugh at. But is it better right now to just 218 00:12:07,120 --> 00:12:10,680 Speaker 2: keep your cash under your pillow and avoid entering the 219 00:12:10,720 --> 00:12:11,280 Speaker 2: market at all? 220 00:12:11,559 --> 00:12:14,679 Speaker 1: I think that is something that so many people are 221 00:12:14,679 --> 00:12:16,760 Speaker 1: wondering about, right And I think if you think about 222 00:12:16,760 --> 00:12:18,960 Speaker 1: cash not just like under the mattress, but also in 223 00:12:19,000 --> 00:12:21,920 Speaker 1: a high yield savings account, you're getting pretty good yield 224 00:12:21,920 --> 00:12:23,720 Speaker 1: on that cash. And so for some people that could 225 00:12:23,760 --> 00:12:27,079 Speaker 1: actually make sense, people who might be closer to retirement, 226 00:12:27,120 --> 00:12:30,800 Speaker 1: people whose risk tolerance is lower. But the concern with 227 00:12:30,960 --> 00:12:35,800 Speaker 1: a lot of advisors is that millennials, even some Gen xers, 228 00:12:36,240 --> 00:12:40,000 Speaker 1: definitely some Gen Z people might be you know, a 229 00:12:40,040 --> 00:12:43,239 Speaker 1: little bit too risk averse. And I think the concern 230 00:12:43,600 --> 00:12:46,240 Speaker 1: is that, sure, you've got your cash today, but what 231 00:12:46,360 --> 00:12:50,040 Speaker 1: happens if inflation doesn't trend down as much as people 232 00:12:50,120 --> 00:12:52,439 Speaker 1: are hoping, then that cash is going to lose that 233 00:12:52,600 --> 00:12:55,000 Speaker 1: value over time, and so you're not getting the returns 234 00:12:55,040 --> 00:12:57,680 Speaker 1: that you'll need to get a study retirement. And so 235 00:12:57,920 --> 00:13:02,040 Speaker 1: the overarching message that I hear from advisors is sure, 236 00:13:02,120 --> 00:13:05,200 Speaker 1: there may be turbulence now, but dollar cost averaging into 237 00:13:05,240 --> 00:13:07,320 Speaker 1: the market, where you're kind of setting, you know, an 238 00:13:07,360 --> 00:13:10,120 Speaker 1: amount that you're going to contribute, you know, over a 239 00:13:10,200 --> 00:13:12,920 Speaker 1: defined period that you stick to over time, that really 240 00:13:12,960 --> 00:13:14,600 Speaker 1: is the best strategy, according to them. 241 00:13:14,720 --> 00:13:18,240 Speaker 2: What about people considering making big purchases right now, like 242 00:13:18,360 --> 00:13:20,920 Speaker 2: buying a car for example, what's the move there? 243 00:13:21,320 --> 00:13:24,560 Speaker 1: Yeah, I think it's tricky. I looked into cars, and 244 00:13:24,600 --> 00:13:27,280 Speaker 1: I think what you have been hearing a lot about is, 245 00:13:27,600 --> 00:13:31,000 Speaker 1: you know, automakers concerned about tariffs. There have been reports 246 00:13:31,040 --> 00:13:33,559 Speaker 1: out that prices for cars could go up as much 247 00:13:33,600 --> 00:13:35,680 Speaker 1: as twelve thousand dollars. 248 00:13:35,240 --> 00:13:37,280 Speaker 2: And I think because of the tariffs on Mexico. 249 00:13:37,720 --> 00:13:40,720 Speaker 1: That's exactly right, because of tariffs on Mexico and Canada's 250 00:13:40,720 --> 00:13:44,280 Speaker 1: potential tariffs, which of course have been delayed as far 251 00:13:44,280 --> 00:13:46,760 Speaker 1: as we know. And the concern is that those prices 252 00:13:46,840 --> 00:13:49,920 Speaker 1: could go up. And so I called some car buying experts, 253 00:13:49,960 --> 00:13:52,600 Speaker 1: which is really interesting. I called someone at Kelly Bluebook, 254 00:13:53,120 --> 00:13:55,680 Speaker 1: which is, you know, they value cars, that do research 255 00:13:55,720 --> 00:13:58,959 Speaker 1: on car prices, and his point was, yeah, if you 256 00:13:59,120 --> 00:14:01,079 Speaker 1: need a car, might want to buy it now because 257 00:14:01,120 --> 00:14:05,600 Speaker 1: prices could go up and even if there aren't price increases, 258 00:14:05,720 --> 00:14:09,280 Speaker 1: specifically due to tariffs, you have this kind of consumer 259 00:14:09,440 --> 00:14:12,640 Speaker 1: belief that prices could go up that changes behavior, that 260 00:14:12,679 --> 00:14:16,360 Speaker 1: increases demand, and then car dealerships could meet that increased 261 00:14:16,360 --> 00:14:19,760 Speaker 1: demand by rising prices. So I also talk to financial adviser. 262 00:14:19,800 --> 00:14:21,200 Speaker 1: I put it the same question to him, and he 263 00:14:21,240 --> 00:14:23,760 Speaker 1: told me basically the same thing. He said, if you 264 00:14:24,000 --> 00:14:26,720 Speaker 1: need a car, and the decision really should be made 265 00:14:26,880 --> 00:14:29,040 Speaker 1: based on need, you should probably buy it. 266 00:14:29,520 --> 00:14:33,080 Speaker 2: I'm curious about how your sources are interpreting this moment. 267 00:14:33,840 --> 00:14:37,120 Speaker 2: Do they see it as a period of volatility or 268 00:14:37,280 --> 00:14:39,720 Speaker 2: is this a full blown correction. 269 00:14:40,040 --> 00:14:43,320 Speaker 1: That is really tricky. I think that there again is 270 00:14:43,360 --> 00:14:46,280 Speaker 1: something a divide, surprise, surprise. In the polarizes to the 271 00:14:46,400 --> 00:14:49,480 Speaker 1: United States, there is a divide about something. There are 272 00:14:49,560 --> 00:14:52,720 Speaker 1: those who have talked to me about people wanting to 273 00:14:52,800 --> 00:14:57,840 Speaker 1: have emergency funds, you know, reassessing those. There are people 274 00:14:57,880 --> 00:15:00,560 Speaker 1: who point to what they see as leading in indicators, 275 00:15:00,600 --> 00:15:04,600 Speaker 1: which might be graduates from top MBA is which is 276 00:15:04,640 --> 00:15:07,680 Speaker 1: a story I wrote recently from top MBA programs having 277 00:15:07,680 --> 00:15:10,160 Speaker 1: a difficult time finding jobs. Is that a sense that 278 00:15:10,520 --> 00:15:12,760 Speaker 1: kind of companies are slowing down hiring is that a 279 00:15:12,800 --> 00:15:15,720 Speaker 1: sense that the economy could kind of be downshifting. But 280 00:15:15,760 --> 00:15:17,680 Speaker 1: then there are those who just see these as jitters. 281 00:15:17,920 --> 00:15:20,560 Speaker 1: And there was an analyst I spoke with who said, 282 00:15:20,600 --> 00:15:23,600 Speaker 1: you know, he sees actually twenty twenty five as being 283 00:15:23,640 --> 00:15:26,440 Speaker 1: positive for the stock market and that now is a 284 00:15:26,480 --> 00:15:29,200 Speaker 1: good time to get a discount on some of these names. 285 00:15:29,440 --> 00:15:31,880 Speaker 1: So I think no one has a crystal ball, unfortunately. 286 00:15:32,120 --> 00:15:35,480 Speaker 1: But I think the consensus that I would say I've 287 00:15:35,480 --> 00:15:38,480 Speaker 1: picked up on is, you know, take now as a 288 00:15:38,520 --> 00:15:41,800 Speaker 1: moment not to panic, but to kind of reassess where 289 00:15:41,840 --> 00:15:45,720 Speaker 1: you are, where your exposure is to particular industries, how 290 00:15:45,800 --> 00:15:49,960 Speaker 1: suited you know your portfolio is to the current economic climate, 291 00:15:50,280 --> 00:15:53,120 Speaker 1: but also how how ready you would be if there 292 00:15:53,200 --> 00:15:55,560 Speaker 1: were some kind of downturn. 293 00:15:59,600 --> 00:16:02,800 Speaker 2: This is the big take from Bloomberg News. I'm Sarah Holder. 294 00:16:03,080 --> 00:16:06,200 Speaker 2: This episode was produced by David Fox and Alex Tye. 295 00:16:06,240 --> 00:16:08,800 Speaker 2: It was fact checked by Adriana Tapia and mixed and 296 00:16:08,840 --> 00:16:12,080 Speaker 2: sound designed by Alex Sugia. It was edited by Tracy 297 00:16:12,120 --> 00:16:16,240 Speaker 2: Samuelson and Craig Giamona. Our senior producer is Naomi Shaven. 298 00:16:16,360 --> 00:16:19,800 Speaker 2: Our senior editor is Elizabeth Ponso. Our executive producer is 299 00:16:19,880 --> 00:16:24,360 Speaker 2: Nicole beamsterboorg Sage Bauman is Bloomberg's head of podcasts. If 300 00:16:24,360 --> 00:16:27,080 Speaker 2: you liked this episode, make sure to subscribe and review 301 00:16:27,120 --> 00:16:29,920 Speaker 2: The Big Take wherever you listen to podcasts. It helps 302 00:16:29,920 --> 00:16:33,400 Speaker 2: people find the show. Thanks for listening, We'll be back 303 00:16:33,560 --> 00:16:34,080 Speaker 2: tomorrow