1 00:00:00,160 --> 00:00:04,320 Speaker 1: So as we were saying, you've got the shutdown that 2 00:00:04,440 --> 00:00:07,160 Speaker 1: is preventing the Bureau of Labor Statistics from putting out 3 00:00:07,160 --> 00:00:09,240 Speaker 1: its numbers. I mean, it could put out the numbers, 4 00:00:09,240 --> 00:00:11,440 Speaker 1: but no one's working or they're not getting paid to work. 5 00:00:11,520 --> 00:00:14,120 Speaker 1: The point is they're not putting out the numbers, so 6 00:00:14,120 --> 00:00:16,440 Speaker 1: we don't know jobs numbers in a whole host of things. 7 00:00:16,520 --> 00:00:20,880 Speaker 1: Yet the market up three hundred points plus. Who knows 8 00:00:20,920 --> 00:00:23,520 Speaker 1: where it'll end, But it hasn't shown that it's somehow 9 00:00:24,079 --> 00:00:25,840 Speaker 1: bothered or affected by any of this. 10 00:00:26,000 --> 00:00:29,159 Speaker 2: Tony Katz, Tony Katz today, good to be with you. 11 00:00:29,280 --> 00:00:33,640 Speaker 1: Doctor mattwill joins us economist at the University of Indianapolis. 12 00:00:33,960 --> 00:00:37,080 Speaker 2: Let's start with some basic stuff here. Do you need 13 00:00:37,120 --> 00:00:40,400 Speaker 2: the numbers? Do they even matter to the markets? 14 00:00:41,120 --> 00:00:44,879 Speaker 3: Well, they do matter, but we can't get them. I'll 15 00:00:44,920 --> 00:00:47,239 Speaker 3: answer your question in more details in a moment. But 16 00:00:47,640 --> 00:00:50,440 Speaker 3: Elizabeth Warren, she's screaming to release the report, and you 17 00:00:50,479 --> 00:00:52,760 Speaker 3: had just mentioned, well, could we release support. We actually 18 00:00:52,840 --> 00:00:57,040 Speaker 3: can't because people compile the report, they do surveys, and 19 00:00:57,040 --> 00:00:59,600 Speaker 3: they haven't been working for two days. They're working on 20 00:00:59,640 --> 00:01:02,720 Speaker 3: the same until the last minute, so it's just not available. 21 00:01:02,760 --> 00:01:06,240 Speaker 3: First of all, does it matter, Yes, and no, Okay, 22 00:01:06,520 --> 00:01:09,040 Speaker 3: it does matter because we need data that tells us 23 00:01:09,040 --> 00:01:11,720 Speaker 3: the direction of the market. We need data to tell 24 00:01:11,760 --> 00:01:14,720 Speaker 3: us if there's a trend. But no, we don't need 25 00:01:14,720 --> 00:01:17,560 Speaker 3: it because we have the ADP data, we have the 26 00:01:18,000 --> 00:01:21,320 Speaker 3: ISM data, we have the information that came out from 27 00:01:21,360 --> 00:01:24,360 Speaker 3: the GDP recently up to three point eight percent. We've 28 00:01:24,400 --> 00:01:27,880 Speaker 3: got other information, and we all know the labor market 29 00:01:27,920 --> 00:01:30,280 Speaker 3: is weak. So all this would do is reinforce what 30 00:01:30,319 --> 00:01:32,839 Speaker 3: we already know. So it's not the end of the world. 31 00:01:32,880 --> 00:01:34,959 Speaker 3: It's fine that we don't get the report today. 32 00:01:34,760 --> 00:01:39,520 Speaker 1: But it's clear that people do utilize those reports for 33 00:01:39,600 --> 00:01:43,600 Speaker 1: a level of reaction, and it can keep the market timid, 34 00:01:43,680 --> 00:01:46,680 Speaker 1: it can make things explode. But when you see a 35 00:01:46,760 --> 00:01:50,480 Speaker 1: day like today, you are left with the feeling of 36 00:01:50,840 --> 00:01:53,280 Speaker 1: First of all, shutdowns don't affect anything, which is an 37 00:01:53,360 --> 00:01:57,120 Speaker 1: argument that I have made in part and the other 38 00:01:57,160 --> 00:02:00,040 Speaker 1: part of it is the market doesn't care what the 39 00:02:00,120 --> 00:02:03,880 Speaker 1: numbers say. Whatever makes things go up and allows them 40 00:02:03,920 --> 00:02:04,720 Speaker 1: to cash. 41 00:02:04,440 --> 00:02:06,280 Speaker 2: Out, only thing that matters. 42 00:02:06,720 --> 00:02:10,960 Speaker 1: We saw oil refineries in Russia getting bombed by Ukraine 43 00:02:11,480 --> 00:02:16,680 Speaker 1: and oil prices went down, So do the numbers matter? 44 00:02:16,840 --> 00:02:20,399 Speaker 1: Anymore to this economy into this market. 45 00:02:20,880 --> 00:02:24,840 Speaker 3: No, they do matter. We need data. You can't make 46 00:02:24,840 --> 00:02:26,959 Speaker 3: a decision. You don't know if there's too many people 47 00:02:27,000 --> 00:02:29,160 Speaker 3: being laid off or too many people being hired. I 48 00:02:29,360 --> 00:02:31,919 Speaker 3: guess you can't have too many people being hired. You 49 00:02:31,960 --> 00:02:34,720 Speaker 3: don't know if the economy is growing or the economy shrinking. No, 50 00:02:34,840 --> 00:02:38,240 Speaker 3: you need data. Without data, you can't make decisions. Even 51 00:02:38,280 --> 00:02:40,360 Speaker 3: though the data is flawed, and we've talked about that 52 00:02:40,480 --> 00:02:43,240 Speaker 3: on your show. The BLS data is flawed, but the 53 00:02:43,280 --> 00:02:47,160 Speaker 3: market knows it's flawed. The market fixes the data. It says, Okay, 54 00:02:47,320 --> 00:02:48,799 Speaker 3: it's going to come in low, but we're going to 55 00:02:48,840 --> 00:02:53,040 Speaker 3: revise it even lower. We need the data, and the 56 00:02:53,120 --> 00:02:55,600 Speaker 3: market is good at it. But we have lots of data. 57 00:02:56,040 --> 00:02:57,639 Speaker 3: It's not the end of the world if we don't 58 00:02:57,639 --> 00:03:02,280 Speaker 3: get this today now. Long term, we need it long term. 59 00:03:02,440 --> 00:03:05,560 Speaker 3: The Fed uses this long term, This Congress and the 60 00:03:05,560 --> 00:03:08,919 Speaker 3: President uses this data to make decisions. So we do 61 00:03:09,000 --> 00:03:11,160 Speaker 3: need it. But trust me, we can live today. And 62 00:03:11,200 --> 00:03:13,280 Speaker 3: by the way, the market's up. Why is it up? 63 00:03:13,480 --> 00:03:16,360 Speaker 3: Because it Alreadys incorporated this in when the ADP data 64 00:03:16,400 --> 00:03:19,639 Speaker 3: came out and it was negative, and that reinforced previous 65 00:03:19,720 --> 00:03:22,160 Speaker 3: data we had that was negative on the labor market. 66 00:03:22,840 --> 00:03:25,639 Speaker 3: It's already in, it's already baked in. There's no news 67 00:03:25,680 --> 00:03:27,840 Speaker 3: to be made if the BLS gives us another report 68 00:03:27,880 --> 00:03:29,440 Speaker 3: that says labors down. 69 00:03:30,600 --> 00:03:33,960 Speaker 1: Talking to doctor Matt Well, economists at the University of Indianapolis, 70 00:03:34,080 --> 00:03:36,240 Speaker 1: let let me give you a couple other pieces of 71 00:03:36,920 --> 00:03:39,120 Speaker 1: economic stuff. So I knew I wanted to talk to 72 00:03:39,120 --> 00:03:40,600 Speaker 1: you about this, but I'm going to throw this stuff 73 00:03:40,600 --> 00:03:43,320 Speaker 1: at you. Let's see how quick you are on your fee. 74 00:03:43,880 --> 00:03:47,040 Speaker 1: Tesla said there was an increase in sales in the 75 00:03:47,160 --> 00:03:52,280 Speaker 1: third quarter. This matches a story regarding Tesla and General 76 00:03:52,280 --> 00:03:58,120 Speaker 1: Motors leading record US EV sales electric vehicles. Is this 77 00:03:58,200 --> 00:04:03,280 Speaker 1: all because the incentivectives are ending? Or is is this 78 00:04:03,680 --> 00:04:07,119 Speaker 1: the news that all the firebombings of Tesla is now 79 00:04:07,160 --> 00:04:09,480 Speaker 1: over and now you can own one without having a keyed. 80 00:04:10,640 --> 00:04:14,200 Speaker 3: No, what happened was we had a political ramification to 81 00:04:15,000 --> 00:04:18,760 Speaker 3: Elon Musk being in the government and that hurt his business. 82 00:04:18,520 --> 00:04:22,839 Speaker 3: That's an anomaly. These are things that shock the market temporarily. 83 00:04:23,240 --> 00:04:27,360 Speaker 3: That's now gone and we're now back into normal business operations. 84 00:04:27,680 --> 00:04:31,200 Speaker 3: And normal business operations. Is that Tesla is dominating the 85 00:04:31,240 --> 00:04:35,000 Speaker 3: EV market. They have lower cost production. I could give 86 00:04:35,000 --> 00:04:37,760 Speaker 3: you specifics, Tony about what they do with their semiconductor 87 00:04:37,839 --> 00:04:40,080 Speaker 3: chips they put in their cars. How they have almost 88 00:04:40,080 --> 00:04:43,200 Speaker 3: a unibody type when it comes to welding. No one 89 00:04:43,240 --> 00:04:46,720 Speaker 3: can compete with them even close in the production quality 90 00:04:46,760 --> 00:04:49,120 Speaker 3: of what they're making. Now they're just we're back into 91 00:04:49,200 --> 00:04:52,600 Speaker 3: the Okay, who's the best and guess who's the best Tesla. 92 00:04:52,760 --> 00:04:56,279 Speaker 3: So Tesla's growing again. The politics are set to the side, 93 00:04:56,320 --> 00:04:59,320 Speaker 3: and now actual performance matters. And I'm going to say 94 00:04:59,520 --> 00:05:02,320 Speaker 3: this very emphatically. The government has to get out of 95 00:05:02,320 --> 00:05:06,840 Speaker 3: the darn picture. Let business success and business failure rule 96 00:05:06,920 --> 00:05:10,440 Speaker 3: the day and not the business manipulating the market. And 97 00:05:10,520 --> 00:05:13,640 Speaker 3: Tesla's back to its normal business operations and I'm happy 98 00:05:13,640 --> 00:05:14,120 Speaker 3: to see that. 99 00:05:14,960 --> 00:05:17,400 Speaker 1: Also, if we take a look at the markets, we 100 00:05:17,480 --> 00:05:22,640 Speaker 1: take a look at April eighth and the Tesla stock price, 101 00:05:22,720 --> 00:05:25,159 Speaker 1: which full disclosure in a fund I do own Tesla 102 00:05:26,600 --> 00:05:30,279 Speaker 1: is it was two twenty one and right now the 103 00:05:30,320 --> 00:05:33,640 Speaker 1: stock is closed. 104 00:05:33,400 --> 00:05:36,279 Speaker 2: Yesterday at four twenty nine. Is that what I'm saying. 105 00:05:36,440 --> 00:05:39,240 Speaker 1: The moral of the story is things have been on 106 00:05:39,320 --> 00:05:43,680 Speaker 1: an upward climb for Tesla over the last months. This 107 00:05:43,839 --> 00:05:46,920 Speaker 1: was all a reaction to Doge and leaving and the 108 00:05:47,360 --> 00:05:50,760 Speaker 1: so called fight, the spat between Trump and Musk. 109 00:05:50,839 --> 00:05:51,520 Speaker 2: That was everything. 110 00:05:52,920 --> 00:05:56,159 Speaker 3: Yes, that's exactly what it was. And quite honestly, let's 111 00:05:56,200 --> 00:05:59,640 Speaker 3: be let's be blunt with your listeners. Elon Musk was 112 00:05:59,640 --> 00:06:02,480 Speaker 3: not folks and on Tesla. He was focusing on the government. 113 00:06:02,800 --> 00:06:07,039 Speaker 3: He's now the world's first half a trillionaire. Congratulations Devon. 114 00:06:07,080 --> 00:06:10,200 Speaker 3: I'm happy that you're successful. And he is focusing back 115 00:06:10,240 --> 00:06:13,560 Speaker 3: on his business again and now it's doing better. Thank 116 00:06:13,600 --> 00:06:16,080 Speaker 3: goodness for him, Thank goodness for Tesla owners and the 117 00:06:16,080 --> 00:06:20,880 Speaker 3: Tesla shareholders, the Doze saying we need it. You and I. 118 00:06:20,480 --> 00:06:22,840 Speaker 3: I wish he were running Doze, but I feel good 119 00:06:22,880 --> 00:06:25,120 Speaker 3: for him and his company because that's where his focus 120 00:06:25,160 --> 00:06:25,719 Speaker 3: is at the moment. 121 00:06:25,920 --> 00:06:29,560 Speaker 1: Talking to doctor Matt Will, economists at the University of Indianapolis, 122 00:06:29,640 --> 00:06:30,920 Speaker 1: let me bring you another story. 123 00:06:31,160 --> 00:06:33,239 Speaker 2: This is the CEO of Goldman Sachs. 124 00:06:34,120 --> 00:06:36,080 Speaker 1: It seems that a lot of these guys on Wall 125 00:06:36,120 --> 00:06:38,760 Speaker 1: Street take the money and are always screaming that the 126 00:06:38,760 --> 00:06:42,080 Speaker 1: sky is falling. I'm one of the people who argues, well, 127 00:06:42,120 --> 00:06:44,719 Speaker 1: the sky does eventually fall. I'm just stunned it hasn't 128 00:06:44,760 --> 00:06:49,600 Speaker 1: fallen yet. He's at a tech week in Turin, Italy, 129 00:06:50,200 --> 00:06:53,000 Speaker 1: and he believes a drawdown is likely to hit the stock. 130 00:06:52,800 --> 00:06:54,800 Speaker 2: Markets in the coming two years. 131 00:06:54,960 --> 00:06:58,200 Speaker 1: My problem here is I've been hearing about a draw down, 132 00:06:58,240 --> 00:07:03,039 Speaker 1: a reduction, a slow down, a things getting back. 133 00:07:02,880 --> 00:07:04,520 Speaker 2: To maybe a more normal number. 134 00:07:04,960 --> 00:07:07,720 Speaker 1: I've been hearing about this for five years and it 135 00:07:07,800 --> 00:07:12,080 Speaker 1: hasn't happened yet. What makes Goldman Sachs CEO David Solomon 136 00:07:12,200 --> 00:07:15,040 Speaker 1: say this? And does anybody in the market as you 137 00:07:15,120 --> 00:07:19,120 Speaker 1: observe these things from a very intimate level, do you 138 00:07:19,240 --> 00:07:22,160 Speaker 1: think that the market is preparing itself in what it's 139 00:07:22,160 --> 00:07:25,840 Speaker 1: been doing for Okay, this party's gonna end sometime soon. 140 00:07:25,920 --> 00:07:27,400 Speaker 1: We're gonna enter some rough times. 141 00:07:29,640 --> 00:07:31,520 Speaker 3: Okay, you want a lightning round but I can't give 142 00:07:31,520 --> 00:07:32,920 Speaker 3: you a lightning round answer on this one. 143 00:07:33,200 --> 00:07:34,880 Speaker 2: Take it time and I got tom, I have bourbon. 144 00:07:34,920 --> 00:07:35,360 Speaker 2: We're good. 145 00:07:36,920 --> 00:07:40,360 Speaker 3: So, first of all, is the market going to turn down? Yes, eventually, 146 00:07:40,400 --> 00:07:43,560 Speaker 3: at some point. We all see the economic data pointing 147 00:07:43,600 --> 00:07:46,480 Speaker 3: to negative directions. The trades are the trade war is 148 00:07:46,520 --> 00:07:49,640 Speaker 3: finally harming the economy. We see it in prices now 149 00:07:49,840 --> 00:07:51,880 Speaker 3: up to four point eight percent. We see it in 150 00:07:51,920 --> 00:07:55,360 Speaker 3: the employment reports which are negative. So yeah, there's bad news. 151 00:07:55,360 --> 00:07:55,920 Speaker 2: So wow. 152 00:07:56,040 --> 00:07:58,680 Speaker 3: David Solomon is a genius because he predicts the future. 153 00:07:59,440 --> 00:08:01,760 Speaker 3: I think we all know there may be a recession 154 00:08:01,760 --> 00:08:04,800 Speaker 3: around the corner. Maybe maybe I'm gonna talk about the 155 00:08:04,800 --> 00:08:08,200 Speaker 3: AI stuff in a moment. But David Solomon is self serving. 156 00:08:08,640 --> 00:08:10,200 Speaker 3: I hope he doesn't listen to your show because he'll 157 00:08:10,200 --> 00:08:13,680 Speaker 3: probably send his lawyers after me. David Simon. Solomon is 158 00:08:13,760 --> 00:08:19,400 Speaker 3: self serving because Goldman Sachs makes money on churn, on 159 00:08:19,960 --> 00:08:23,200 Speaker 3: buying and selling, so if there's going to be a drawdown, 160 00:08:23,360 --> 00:08:25,440 Speaker 3: then people are going to rush to sell and change 161 00:08:25,440 --> 00:08:29,520 Speaker 3: the portfolio mixture. He makes money on that. His business 162 00:08:29,560 --> 00:08:33,120 Speaker 3: is making money by you trading, and if you reallocate 163 00:08:33,160 --> 00:08:36,560 Speaker 3: your assets to a different category, he makes money. This 164 00:08:36,720 --> 00:08:39,200 Speaker 3: is very self serving what he's saying. He is not 165 00:08:39,280 --> 00:08:42,800 Speaker 3: some expert economist. He runs a company that's based on 166 00:08:42,960 --> 00:08:45,760 Speaker 3: trading and that's what he does. And he's self serving 167 00:08:45,800 --> 00:08:49,200 Speaker 3: in his comments. I'm not saying he's wrong. I'm saying 168 00:08:49,240 --> 00:08:51,520 Speaker 3: he's very self serving in his comments. 169 00:08:52,120 --> 00:08:54,320 Speaker 1: Before I let you go talking to doctor Matt Will, 170 00:08:54,360 --> 00:08:58,160 Speaker 1: economist at the University of Indianapolis, let's talk. 171 00:08:58,040 --> 00:08:58,960 Speaker 2: About this shutdown. 172 00:09:00,720 --> 00:09:05,880 Speaker 1: The shutdown has really not thrown anything into the works 173 00:09:05,920 --> 00:09:09,079 Speaker 1: of the market, hasn't really thrown anything into the works 174 00:09:09,120 --> 00:09:12,239 Speaker 1: to mess up the works of everyday Americans. And this shutdown, 175 00:09:12,280 --> 00:09:15,400 Speaker 1: it only gets us through to November twenty first, where 176 00:09:15,559 --> 00:09:18,280 Speaker 1: we're going to be having this conversation all over again. 177 00:09:19,240 --> 00:09:22,080 Speaker 1: Is it that Americans have gotten used to shutdowns or 178 00:09:22,080 --> 00:09:24,760 Speaker 1: the threats of shutdowns and we've baked it into the cake. 179 00:09:25,240 --> 00:09:27,480 Speaker 1: Is there something different about what we're seeing and is 180 00:09:27,480 --> 00:09:30,120 Speaker 1: there something different about what might come down the road 181 00:09:30,600 --> 00:09:33,439 Speaker 1: that really does have an effect on the economy. 182 00:09:34,120 --> 00:09:36,480 Speaker 3: Well, I'm going to say this is a different kind 183 00:09:36,480 --> 00:09:39,800 Speaker 3: of shutdown because Trump is now in charge of this shutdown, 184 00:09:40,040 --> 00:09:42,920 Speaker 3: and this is actually good for the economy. In the 185 00:09:42,960 --> 00:09:46,280 Speaker 3: previous administrations, when we had a shutdown and the president 186 00:09:46,280 --> 00:09:48,760 Speaker 3: in charge was a Democrat and that we had this 187 00:09:48,880 --> 00:09:53,200 Speaker 3: massive government bureaucracy, then the world couldn't function without the government. 188 00:09:53,600 --> 00:09:56,079 Speaker 3: Trump has been getting the government out of your hair. 189 00:09:56,280 --> 00:09:59,079 Speaker 3: He's been taking them out of your life. So guess what, 190 00:09:59,120 --> 00:10:03,000 Speaker 3: we're independent now, We're functioning independently without big brother over 191 00:10:03,040 --> 00:10:06,440 Speaker 3: our shoulder. So no, I think this government shutdown is 192 00:10:06,480 --> 00:10:09,200 Speaker 3: a different kind of one. Because we don't need the 193 00:10:09,240 --> 00:10:12,280 Speaker 3: government the moment. We can survive without them. And lo 194 00:10:12,440 --> 00:10:15,240 Speaker 3: and behold you said it for the last few times 195 00:10:15,240 --> 00:10:18,480 Speaker 3: you've commented on this. Yeah, we're seemed to be doing fine. 196 00:10:18,480 --> 00:10:21,120 Speaker 3: Now we can't do long term. Okay, the military has 197 00:10:21,160 --> 00:10:23,240 Speaker 3: to get paid, the police need to be paid, Ice 198 00:10:23,320 --> 00:10:26,280 Speaker 3: needs to be paid, for sure, so you know, let's 199 00:10:26,880 --> 00:10:29,400 Speaker 3: you can't go on forever. But I think Trump is 200 00:10:29,480 --> 00:10:30,679 Speaker 3: managing it very well. 201 00:10:31,240 --> 00:10:34,959 Speaker 1: But you don't think that even if there was something prolonged, 202 00:10:34,960 --> 00:10:38,920 Speaker 1: whether it be now, whether it be this conversation in November, 203 00:10:39,440 --> 00:10:44,040 Speaker 1: whether these Obamacare at tax credits get extended or not, 204 00:10:44,400 --> 00:10:45,080 Speaker 1: there's nothing that. 205 00:10:45,080 --> 00:10:47,240 Speaker 2: We should be looking at that would. 206 00:10:46,960 --> 00:10:49,880 Speaker 1: Make you say, well, if X, then you might see 207 00:10:49,880 --> 00:10:51,560 Speaker 1: something very interesting and why. 208 00:10:53,000 --> 00:10:54,840 Speaker 3: I would need to know what the specific X is. 209 00:10:54,920 --> 00:10:57,720 Speaker 3: But I believe that the government being shut down for 210 00:10:57,720 --> 00:11:00,080 Speaker 3: a little bit isn't a bad idea. And I agree 211 00:11:00,200 --> 00:11:03,200 Speaker 3: with Trump and your analysis, maybe your analysis of Trump. 212 00:11:03,200 --> 00:11:05,280 Speaker 3: I don't know if Trump's using your analysis, but this 213 00:11:05,360 --> 00:11:08,480 Speaker 3: may be an opportunity to cut the fat out of government, 214 00:11:08,840 --> 00:11:11,160 Speaker 3: because can he fire someone and not just lay them 215 00:11:11,160 --> 00:11:13,040 Speaker 3: off and not have to bring them back. I think 216 00:11:13,040 --> 00:11:17,160 Speaker 3: there actually is a doze benefit, a side benefit, an 217 00:11:17,280 --> 00:11:21,319 Speaker 3: unintended consequence that may benefit the country from this shutdown. 218 00:11:21,840 --> 00:11:25,520 Speaker 1: Doctor Matt Well, economist at the University of Indianapolis. I 219 00:11:25,520 --> 00:11:27,960 Speaker 1: appreciate you taking the time to be with us, more 220 00:11:28,000 --> 00:11:30,000 Speaker 1: to get to I'm Tony Katz. This is Tony Katz 221 00:11:30,040 --> 00:11:30,319 Speaker 1: today