1 00:00:00,080 --> 00:00:02,040 Speaker 1: P and L is brought to you by proper Cloth, 2 00:00:02,120 --> 00:00:05,120 Speaker 1: a leader in men's custom shirts, with proprietary, smart sized 3 00:00:05,120 --> 00:00:08,720 Speaker 1: technology and top rated customer service. Ordering a custom shirt 4 00:00:08,760 --> 00:00:11,680 Speaker 1: has never been easier. Visit proper cloth dot com to 5 00:00:11,760 --> 00:00:19,920 Speaker 1: order your first custom shirt today. Welcome to the Bloomberg 6 00:00:20,000 --> 00:00:22,599 Speaker 1: P and L Podcast. I'm Pim Fox. Along with my 7 00:00:22,640 --> 00:00:25,759 Speaker 1: co host Lisa Abramowitz. Each day we bring you the 8 00:00:25,800 --> 00:00:29,360 Speaker 1: most important, noteworthy, and useful interviews for you and your money, 9 00:00:29,360 --> 00:00:32,360 Speaker 1: whether at the grocery store or the trading floor. Find 10 00:00:32,400 --> 00:00:35,840 Speaker 1: the Bloomberg P and L Podcast on iTunes, SoundCloud and 11 00:00:36,080 --> 00:00:44,000 Speaker 1: at Bloomberg dot com. Can oil break out of this 12 00:00:44,280 --> 00:00:48,199 Speaker 1: fifty dollars to fifty five dollars a barrel range? I 13 00:00:49,040 --> 00:00:51,960 Speaker 1: don't know the answer, but John Kilduff perhaps does. John 14 00:00:52,000 --> 00:00:55,400 Speaker 1: Kilduff he is founding partner of Again Capital who has 15 00:00:55,600 --> 00:00:59,480 Speaker 1: gotten it right again and again with where at the 16 00:00:59,520 --> 00:01:02,080 Speaker 1: price of is going? So John, uh, you know where 17 00:01:02,120 --> 00:01:05,080 Speaker 1: do you see this sort of tenuous truce in the 18 00:01:05,120 --> 00:01:09,480 Speaker 1: Middle East about not producing too much more oil going? 19 00:01:09,520 --> 00:01:11,480 Speaker 1: And do you think that we we could break out 20 00:01:11,560 --> 00:01:17,880 Speaker 1: of this range? Um? Either way? First, good morning, Good morning, 21 00:01:18,360 --> 00:01:21,240 Speaker 1: And Uh, I think you have to give them certainly 22 00:01:21,319 --> 00:01:24,240 Speaker 1: some credit. The the OPEC and non OPEC producers like 23 00:01:24,319 --> 00:01:26,920 Speaker 1: Russia that came together to try and cut looks like 24 00:01:26,959 --> 00:01:30,800 Speaker 1: they've achieved about eighty five of their efforts. The problem 25 00:01:30,880 --> 00:01:35,000 Speaker 1: is that there's several notable countries not part of the deal, Iraq, 26 00:01:35,080 --> 00:01:38,440 Speaker 1: Iran in particular, and Nigeria and Libya, all of whom 27 00:01:38,440 --> 00:01:40,319 Speaker 1: we're sort of written off in terms of not being 28 00:01:40,319 --> 00:01:42,440 Speaker 1: able to grow their output much more. And it turns 29 00:01:42,440 --> 00:01:47,360 Speaker 1: out there coming back like gangbusters. Um. Also too, we're 30 00:01:47,400 --> 00:01:49,880 Speaker 1: heading into now the end of the winter season, which 31 00:01:50,080 --> 00:01:53,760 Speaker 1: brings a sort of shoulder season demand period to the 32 00:01:53,800 --> 00:01:58,000 Speaker 1: northern hemisphere globally, which I think is going to complicate 33 00:01:58,120 --> 00:02:01,240 Speaker 1: the picture, uh for these guys, and I think dash 34 00:02:01,280 --> 00:02:04,440 Speaker 1: their hopes. So to answer your question, I see it's 35 00:02:04,480 --> 00:02:07,040 Speaker 1: breaking out to the downside here, I think in over 36 00:02:07,040 --> 00:02:09,799 Speaker 1: the course the next couple of weeks. Hey, John, I 37 00:02:09,840 --> 00:02:13,119 Speaker 1: wonder if you could put that together with the demand 38 00:02:13,240 --> 00:02:15,959 Speaker 1: picture and maybe just you know, give us the thirty 39 00:02:16,000 --> 00:02:18,760 Speaker 1: thousand foot few in terms of all right, we're going 40 00:02:18,800 --> 00:02:21,800 Speaker 1: into the peak driving season will be the summertime in 41 00:02:21,840 --> 00:02:26,200 Speaker 1: the northern hemisphere. Uh, you know what percent of production 42 00:02:26,320 --> 00:02:29,919 Speaker 1: is that going to soak up and so on. Yeah, 43 00:02:29,960 --> 00:02:33,560 Speaker 1: so the demand picture actually has been rather soft, particularly 44 00:02:33,600 --> 00:02:36,520 Speaker 1: for refined fuels over the past several weeks here now, 45 00:02:36,560 --> 00:02:39,440 Speaker 1: particularly in the US, we've been down on gasoline demand 46 00:02:39,800 --> 00:02:42,840 Speaker 1: five to seven percent, which is somewhat remarkable. With some 47 00:02:42,919 --> 00:02:46,040 Speaker 1: of that is a drop in exports, but some of 48 00:02:46,040 --> 00:02:49,560 Speaker 1: it seems to be consumer response to the relatively higher 49 00:02:50,080 --> 00:02:55,880 Speaker 1: gasoline prices already. UM And unfortunately for the refiners, UH, 50 00:02:56,040 --> 00:02:59,400 Speaker 1: we're we have record inventories of gasoline on the East coast, 51 00:03:00,160 --> 00:03:03,280 Speaker 1: UM and you know, we're continuing to see this. This 52 00:03:03,400 --> 00:03:06,240 Speaker 1: lackluster demand sort of hurt them. You saw a STAT 53 00:03:06,280 --> 00:03:11,079 Speaker 1: oil report today UM as did BP, and they both 54 00:03:11,120 --> 00:03:14,000 Speaker 1: referenced the refining sector last quarters as being poor, which 55 00:03:14,040 --> 00:03:16,240 Speaker 1: had been a bright spot. Part of this is being 56 00:03:16,320 --> 00:03:19,200 Speaker 1: driven by the Chinese who sort of ramped up a 57 00:03:19,720 --> 00:03:22,320 Speaker 1: mini sort of boom in refining there and which led 58 00:03:22,360 --> 00:03:25,360 Speaker 1: to record exports during much of last year. So the 59 00:03:25,360 --> 00:03:28,760 Speaker 1: whole world kind of got swamped and refined products. So 60 00:03:29,120 --> 00:03:32,760 Speaker 1: you're seeing today gas leaned down about two down under 61 00:03:32,760 --> 00:03:34,840 Speaker 1: a dollar fifty a gallon on then I am X 62 00:03:35,440 --> 00:03:39,240 Speaker 1: Commodity board and UM the downward pressure I think is 63 00:03:39,240 --> 00:03:42,440 Speaker 1: is going to continue there. So UM also too, we've 64 00:03:42,440 --> 00:03:45,280 Speaker 1: seen the biggest slowdown in twenty six years according to 65 00:03:45,320 --> 00:03:48,600 Speaker 1: the latest data out of China for refined product growth 66 00:03:48,920 --> 00:03:51,160 Speaker 1: demand growth. So there continues to be a lot of 67 00:03:51,160 --> 00:03:53,760 Speaker 1: issues around the whole complex. John, you said that you 68 00:03:53,800 --> 00:03:55,680 Speaker 1: do think that we're going to break out to the downside. 69 00:03:55,720 --> 00:03:58,840 Speaker 1: How low do you think oil prices could go? I 70 00:03:58,840 --> 00:04:01,440 Speaker 1: think if we can, if we can break the fifty market, 71 00:04:01,520 --> 00:04:03,760 Speaker 1: there's no reason why we couldn't retrace all the way 72 00:04:03,800 --> 00:04:07,520 Speaker 1: back down to the lows from November, which was forty 73 00:04:07,560 --> 00:04:10,080 Speaker 1: two dollars about So I think it's pretty easy for 74 00:04:10,160 --> 00:04:12,440 Speaker 1: us to make an argument to get back qually back 75 00:04:12,480 --> 00:04:16,000 Speaker 1: down there. And with a barrel, Which companies would that 76 00:04:16,160 --> 00:04:21,919 Speaker 1: disrupt the most. It's gonna disrupt the pure play producers, 77 00:04:22,160 --> 00:04:26,240 Speaker 1: so it's gonna it's gonna hurt hess UH companies like Hess, 78 00:04:26,279 --> 00:04:31,760 Speaker 1: Occidental Petroleum, UM, some of the shale players, Continental Resources 79 00:04:31,760 --> 00:04:34,000 Speaker 1: companies like that. Well, we'll we'll take it on the chin. 80 00:04:34,440 --> 00:04:38,479 Speaker 1: It may actually help the refiners perversely, because there they'll 81 00:04:38,520 --> 00:04:41,960 Speaker 1: have much lower input costs and UM it may spare 82 00:04:42,000 --> 00:04:44,440 Speaker 1: more demand at the pump again just at the right time. 83 00:04:44,960 --> 00:04:48,440 Speaker 1: As we hit the peak summer travel season. So what 84 00:04:48,520 --> 00:04:51,360 Speaker 1: works early last year, it looks like it may work 85 00:04:51,400 --> 00:04:53,560 Speaker 1: again early this year in terms of trying to play 86 00:04:53,640 --> 00:04:56,479 Speaker 1: the energy patch. So all right, John, let's let's just 87 00:04:56,560 --> 00:04:59,440 Speaker 1: keep this in mind. So we're looking for oil prices 88 00:04:59,480 --> 00:05:03,520 Speaker 1: to go low or for a variety of reasons, right, Okay, 89 00:05:03,600 --> 00:05:06,520 Speaker 1: Now is there any value in connecting this to just 90 00:05:06,600 --> 00:05:09,360 Speaker 1: the thought that oil is up about eleven since the 91 00:05:09,480 --> 00:05:13,760 Speaker 1: November election, that gas is up on nearly twenty since 92 00:05:13,760 --> 00:05:19,800 Speaker 1: the election. Can you knit together a bigger picture for us? Well, 93 00:05:19,839 --> 00:05:22,000 Speaker 1: it's it's interesting to me. I mean, obviously, all the 94 00:05:22,120 --> 00:05:24,839 Speaker 1: entirety of the stock market and a lot of assets 95 00:05:24,839 --> 00:05:27,560 Speaker 1: have risen on on hope for relief and regulation and 96 00:05:28,000 --> 00:05:31,960 Speaker 1: other pro growth policies. The energy industry gets hurt in 97 00:05:32,000 --> 00:05:33,680 Speaker 1: a big way. To refining industry gets hurt in a 98 00:05:33,760 --> 00:05:37,080 Speaker 1: big way if this border tax adjustment UH program were 99 00:05:37,080 --> 00:05:41,440 Speaker 1: to be implemented. Um also too, you know, the oil 100 00:05:41,480 --> 00:05:44,160 Speaker 1: producing oil producers need to be careful of too much 101 00:05:44,160 --> 00:05:46,440 Speaker 1: of a good thing, to the extent that they were 102 00:05:46,480 --> 00:05:50,080 Speaker 1: they were to be released hogwild to exploit hundreds of 103 00:05:50,120 --> 00:05:52,400 Speaker 1: thousands of more acres and produce more and more oil. 104 00:05:52,960 --> 00:05:54,560 Speaker 1: It's going to add to the glut and not take 105 00:05:54,600 --> 00:05:57,200 Speaker 1: away from it, obviously, So you don't think that there 106 00:05:57,240 --> 00:06:02,200 Speaker 1: will necessarily be as much drilling as perhaps President Trump 107 00:06:02,240 --> 00:06:04,479 Speaker 1: will allow them to do by opening up federal lands, 108 00:06:04,480 --> 00:06:07,920 Speaker 1: which is widely expected. Yes, No, because you know a 109 00:06:07,920 --> 00:06:12,880 Speaker 1: lot of federal land leases went unexploited during the Obama administration. 110 00:06:12,960 --> 00:06:16,279 Speaker 1: You know, the U S producers cut back drastically with 111 00:06:16,320 --> 00:06:18,680 Speaker 1: the price drops. So you know, the US in that 112 00:06:18,760 --> 00:06:21,719 Speaker 1: regard is really the swing producer as much as Saudi 113 00:06:21,760 --> 00:06:25,359 Speaker 1: Arabia these days, except that our policy is driven by economics, 114 00:06:25,360 --> 00:06:28,279 Speaker 1: whereas the Saudis are trying to uh, you know, dictate 115 00:06:28,320 --> 00:06:31,200 Speaker 1: price from on high. But no, I think it will 116 00:06:31,279 --> 00:06:33,600 Speaker 1: be um not as great as land rush as you 117 00:06:33,640 --> 00:06:35,800 Speaker 1: might think, because prices are going to be challenged more 118 00:06:35,800 --> 00:06:38,880 Speaker 1: and more as we're already seeing the shell players ramp up. 119 00:06:38,960 --> 00:06:42,120 Speaker 1: You know, John, last week we were talking about the 120 00:06:42,160 --> 00:06:45,920 Speaker 1: solar industry and how the prices for solar energy has 121 00:06:45,960 --> 00:06:49,799 Speaker 1: dropped to the point where it's competitive at least with gas. 122 00:06:49,880 --> 00:06:51,880 Speaker 1: Do you think that this is going to increasingly be 123 00:06:51,960 --> 00:06:54,120 Speaker 1: a pressure on the oil industry or is this a 124 00:06:54,200 --> 00:06:59,000 Speaker 1: nonstarter just because it's so small relatively No, no, very 125 00:06:59,080 --> 00:07:01,320 Speaker 1: very much. So it's a it's a it's become a 126 00:07:01,360 --> 00:07:05,360 Speaker 1: big factor. Wind has become even a bigger factor. Um 127 00:07:05,560 --> 00:07:08,279 Speaker 1: is it's actually considered a conventional energy source now, not 128 00:07:08,360 --> 00:07:12,120 Speaker 1: even a special sort of case renewable um. But the uh, 129 00:07:12,800 --> 00:07:14,600 Speaker 1: what we're dealing with here, you've got to keep in 130 00:07:14,640 --> 00:07:17,600 Speaker 1: mind is that it's a bigger pressure really for natural gas, 131 00:07:17,640 --> 00:07:21,120 Speaker 1: because oil still is eight barrel of oil is still 132 00:07:21,760 --> 00:07:25,160 Speaker 1: of that barrel goes into transportation um. And we're still 133 00:07:25,200 --> 00:07:28,080 Speaker 1: not seeing obviously solar cars, although we are starting to 134 00:07:28,080 --> 00:07:30,520 Speaker 1: see more electric ones and and really ones that are 135 00:07:30,560 --> 00:07:34,240 Speaker 1: desirable by consumers, like the ones Tesla produces, but for 136 00:07:34,280 --> 00:07:36,080 Speaker 1: now it's going to be a while. So oil is 137 00:07:36,120 --> 00:07:39,280 Speaker 1: still the transportation fuel as opposed to what the electrical 138 00:07:39,360 --> 00:07:41,440 Speaker 1: utility industry is going to have to be dealing with, 139 00:07:41,440 --> 00:07:45,320 Speaker 1: what sort of decentralized power generation prompt solar and now 140 00:07:45,360 --> 00:07:48,600 Speaker 1: importantly the battery technology that's coming along with it. Thanks 141 00:07:48,680 --> 00:07:53,120 Speaker 1: very much, John Kilduff, great stuff, founding partner of again Capital. 142 00:08:05,080 --> 00:08:07,480 Speaker 1: Let's learn more about what to do with your money 143 00:08:07,640 --> 00:08:12,000 Speaker 1: in this market that, as Dave Wilson was earlier describing, 144 00:08:12,040 --> 00:08:16,720 Speaker 1: we could be seeing the SMP five. Tony Dwyers, the 145 00:08:16,800 --> 00:08:21,960 Speaker 1: chief market strategist that can accord genuity, and he joins us, now, Tony, 146 00:08:22,000 --> 00:08:26,040 Speaker 1: thanks very much for being with us. Give us your outlook, 147 00:08:26,760 --> 00:08:30,120 Speaker 1: and then maybe I would throw in with that, give 148 00:08:30,200 --> 00:08:34,920 Speaker 1: us all the things that could go wrong with your outlook. Okay, 149 00:08:34,920 --> 00:08:37,240 Speaker 1: that's that's probably better. Stay to het them. Thanks for 150 00:08:37,280 --> 00:08:40,720 Speaker 1: having me on and RISA. So we believe that the 151 00:08:40,760 --> 00:08:43,320 Speaker 1: next few weeks we're going to see a correction UM 152 00:08:43,320 --> 00:08:47,040 Speaker 1: in the market somewhere around five And that doesn't sound 153 00:08:47,160 --> 00:08:48,880 Speaker 1: like a lot, but when you're down a couple of 154 00:08:48,920 --> 00:08:51,200 Speaker 1: percent in the new kind of trading world that we're in, 155 00:08:51,360 --> 00:08:53,240 Speaker 1: everybody kind of gets scared that it's going to be 156 00:08:53,240 --> 00:08:56,520 Speaker 1: a ten to fifteen percent correction, and we we want 157 00:08:56,520 --> 00:08:59,400 Speaker 1: to be in a position to really aggressively by that um. 158 00:08:59,520 --> 00:09:03,160 Speaker 1: For the list nurse to make this really super simple, UM, 159 00:09:03,320 --> 00:09:06,200 Speaker 1: you never want to be a net seller or negative 160 00:09:06,240 --> 00:09:09,640 Speaker 1: on stocks until you have a recession in sight, because 161 00:09:09,679 --> 00:09:13,079 Speaker 1: any correction in the midst of a positive growth backdrop 162 00:09:13,640 --> 00:09:17,160 Speaker 1: always comes back um and pretty quick form and goes higher. 163 00:09:17,200 --> 00:09:18,880 Speaker 1: So the only time you really want to be negative 164 00:09:18,960 --> 00:09:20,880 Speaker 1: is if you can see a recession, and we don't 165 00:09:20,920 --> 00:09:23,480 Speaker 1: see a recession for at least another couple of years. 166 00:09:23,720 --> 00:09:25,640 Speaker 1: Hold on a second, Tony, you said, next couple of 167 00:09:25,640 --> 00:09:29,240 Speaker 1: weeks you see a five percent pulled back in stocks. 168 00:09:29,280 --> 00:09:31,840 Speaker 1: This sort of conflicts with what we hear a lot, 169 00:09:31,960 --> 00:09:34,640 Speaker 1: which is I can't predict the next few weeks. I 170 00:09:34,640 --> 00:09:37,080 Speaker 1: can maybe predict the next few years or give a 171 00:09:37,120 --> 00:09:39,880 Speaker 1: sense of of sort of the trend. But this stands 172 00:09:39,920 --> 00:09:43,640 Speaker 1: out why such conviction about a time frame that's so 173 00:09:43,760 --> 00:09:46,440 Speaker 1: near to us. Well, to be fair, I've been making 174 00:09:46,440 --> 00:09:49,120 Speaker 1: the call since mid December, and you know, we turn 175 00:09:49,200 --> 00:09:51,920 Speaker 1: neutral on the market in mid December because we thought 176 00:09:51,960 --> 00:09:54,800 Speaker 1: a lot of the positive um data was already reflected 177 00:09:54,800 --> 00:09:57,319 Speaker 1: in stocks and you had an extreme overbaught condition. And 178 00:09:57,760 --> 00:09:59,680 Speaker 1: that's the case, like, for example, today, if you don't 179 00:09:59,679 --> 00:10:01,640 Speaker 1: have a one percent move, I read on the Bloomberg 180 00:10:01,960 --> 00:10:04,280 Speaker 1: that if you don't have an enter day one percent move, 181 00:10:04,320 --> 00:10:07,240 Speaker 1: it will match the longest period without a one percent 182 00:10:08,160 --> 00:10:10,600 Speaker 1: move in the market for this cycle. So you just 183 00:10:10,679 --> 00:10:12,800 Speaker 1: have been in this period of very very very low 184 00:10:12,920 --> 00:10:15,920 Speaker 1: volatility and that typically comes to an end in a 185 00:10:16,000 --> 00:10:18,640 Speaker 1: sharp way. And and that doesn't mean that you know, 186 00:10:18,679 --> 00:10:21,280 Speaker 1: everybody should run for the hills because the fundamental backdrop 187 00:10:21,360 --> 00:10:23,280 Speaker 1: is so good you just have to be ready and 188 00:10:23,600 --> 00:10:27,040 Speaker 1: expect it to happen. Um. So it's not just it's 189 00:10:27,080 --> 00:10:29,080 Speaker 1: not just the call that I've made today for the 190 00:10:29,120 --> 00:10:31,200 Speaker 1: next three weeks. It's a call that we've been in 191 00:10:31,200 --> 00:10:33,760 Speaker 1: since mid December. Hey, Tony, I wonder if you could 192 00:10:33,760 --> 00:10:36,720 Speaker 1: just bring in the concept of active investments, in other words, 193 00:10:36,760 --> 00:10:40,120 Speaker 1: people picking stocks. Plus, you're in the earning season and 194 00:10:40,160 --> 00:10:42,160 Speaker 1: I'm wondering if that might have anything to do with 195 00:10:42,200 --> 00:10:44,800 Speaker 1: what happens to last price, because that's really what we're 196 00:10:44,800 --> 00:10:47,360 Speaker 1: talking about. You're not talking about value, talking about how 197 00:10:47,480 --> 00:10:50,800 Speaker 1: much someone is paying for something in the short term, right, 198 00:10:50,760 --> 00:10:54,280 Speaker 1: And the earnings backdrop has been really strong or not, 199 00:10:54,600 --> 00:10:58,120 Speaker 1: that's that's not right. The earnings backdrop has been significantly 200 00:10:58,160 --> 00:11:00,839 Speaker 1: improved from where was a year go or even two 201 00:11:00,920 --> 00:11:03,959 Speaker 1: quarters ago, because you're seeing a recovery in the commodities. 202 00:11:04,000 --> 00:11:06,640 Speaker 1: And I think the story, guys that that nobody's really 203 00:11:06,679 --> 00:11:09,840 Speaker 1: talking about is how good the global economy is acting. 204 00:11:10,240 --> 00:11:13,120 Speaker 1: We're so focused on what President Trump is tweeting in 205 00:11:13,160 --> 00:11:16,600 Speaker 1: the legislation. Well, it's interesting because Lisa Brahma, hold on, Tony, 206 00:11:16,600 --> 00:11:20,280 Speaker 1: because Lisa Bramwitz. You mentioned even just last week, the 207 00:11:20,440 --> 00:11:26,040 Speaker 1: economic performance in Europe is better than many investors believe 208 00:11:26,120 --> 00:11:28,480 Speaker 1: on the surface. Right, So some people are actually going 209 00:11:28,679 --> 00:11:33,000 Speaker 1: back to an increasing number of hedge funds. But but Tony, 210 00:11:33,040 --> 00:11:34,680 Speaker 1: I want to get to your point. I mean about 211 00:11:34,960 --> 00:11:37,520 Speaker 1: just because of President Trump and some of his rhetoric. 212 00:11:37,679 --> 00:11:41,079 Speaker 1: You know, dot dot dot. Seth Klarman, who is a 213 00:11:41,360 --> 00:11:44,079 Speaker 1: very respected hedge fund manager, put out a letter in 214 00:11:44,160 --> 00:11:46,200 Speaker 1: the past few weeks that was quoted in the New 215 00:11:46,280 --> 00:11:49,200 Speaker 1: York Times, and he was saying, that's important in and 216 00:11:49,240 --> 00:11:51,840 Speaker 1: of itself, when you have a president, a leader who 217 00:11:51,880 --> 00:11:56,600 Speaker 1: puts who makes volatility his strategy, that could potentially upend 218 00:11:56,960 --> 00:11:59,360 Speaker 1: a lot of the order that we've seen in markets. 219 00:11:59,400 --> 00:12:01,640 Speaker 1: Markets don't like uncertainty. What do you say to that. 220 00:12:02,240 --> 00:12:05,360 Speaker 1: I think markets don't like uncertainty. But we've been uncertain 221 00:12:05,400 --> 00:12:08,200 Speaker 1: since the summer of last year, and you have one 222 00:12:08,240 --> 00:12:12,079 Speaker 1: of the lowest volatility periods on record. So to this 223 00:12:12,160 --> 00:12:14,480 Speaker 1: to this point, Seth is right, it's gonna end up. 224 00:12:14,600 --> 00:12:17,040 Speaker 1: And that's kind of our correction call. When you have 225 00:12:17,200 --> 00:12:20,959 Speaker 1: such low volatility in an environment where so much rhetorics 226 00:12:21,000 --> 00:12:23,320 Speaker 1: coming out, you've got to you've got to believe that 227 00:12:23,400 --> 00:12:26,040 Speaker 1: at some point it's going to come into play. What's 228 00:12:26,040 --> 00:12:28,560 Speaker 1: amazing to me and I think Seth and anybody else 229 00:12:28,920 --> 00:12:32,640 Speaker 1: is it hasn't yet. You've had such a narrow trading 230 00:12:32,720 --> 00:12:36,880 Speaker 1: range of the market despite so many issues being you know, 231 00:12:37,160 --> 00:12:43,320 Speaker 1: um harshly criticized and talked about back and forth. So again, 232 00:12:43,400 --> 00:12:46,280 Speaker 1: what here's what I would urge the listeners to do. 233 00:12:46,880 --> 00:12:49,480 Speaker 1: Invest your money based on what you know, not on 234 00:12:49,559 --> 00:12:52,839 Speaker 1: what you fear. What we know is that even with 235 00:12:52,960 --> 00:12:57,000 Speaker 1: increases and interest rates in the US monetary policy, meaning 236 00:12:57,600 --> 00:13:00,040 Speaker 1: you know, credit is in very very good shape, the 237 00:13:00,120 --> 00:13:06,240 Speaker 1: set is historically accommodatives. On another points higher in you Yeah, 238 00:13:06,400 --> 00:13:08,320 Speaker 1: Tony Dwyer, thank you so much for joining US chief 239 00:13:08,320 --> 00:13:21,360 Speaker 1: market strategist at can Accord Genuity, P and L is 240 00:13:21,400 --> 00:13:23,640 Speaker 1: brought to you by proper Cloth, the leader in men's 241 00:13:23,679 --> 00:13:27,160 Speaker 1: custom shirts. At proper cloth dot com, ordering custom shirts 242 00:13:27,200 --> 00:13:30,040 Speaker 1: has never been easier. To create your custom shirt size 243 00:13:30,040 --> 00:13:33,960 Speaker 1: by answering ten easy questions, select from over five fabrics 244 00:13:34,000 --> 00:13:37,160 Speaker 1: to suit your personal taste. Shirts start from eighty five 245 00:13:37,200 --> 00:13:40,080 Speaker 1: dollars and are delivered in just two weeks with proper 246 00:13:40,120 --> 00:13:44,160 Speaker 1: Cloths perfect fit guarantee remakes are completely free and expert 247 00:13:44,200 --> 00:13:47,800 Speaker 1: staff are standing by to help. For premium quality, perfect 248 00:13:47,840 --> 00:14:00,400 Speaker 1: fitting shirts, visit proper cloth dot com custom shirts made Smarter. Uh, 249 00:14:00,400 --> 00:14:02,960 Speaker 1: there was a fascinating story that I really want to 250 00:14:03,080 --> 00:14:06,600 Speaker 1: highlight that raises the question of the hardware and the 251 00:14:06,640 --> 00:14:10,600 Speaker 1: integrity of the hardware behind the giants of Apple, Google, 252 00:14:10,679 --> 00:14:12,960 Speaker 1: and Facebook. I want to bring in Jordan Robertson, a 253 00:14:12,960 --> 00:14:15,960 Speaker 1: technology reporter with Bloomberg News who wrote the story. He 254 00:14:16,040 --> 00:14:21,280 Speaker 1: is coming to us from Washington. Jordan's first, I just 255 00:14:21,320 --> 00:14:24,320 Speaker 1: want to get a sense of how easily it would 256 00:14:24,400 --> 00:14:30,080 Speaker 1: be to potentially manipulate the hardware that sort of provides 257 00:14:30,080 --> 00:14:34,040 Speaker 1: the infrastructure for Apple, Google, and Facebook before they even 258 00:14:34,080 --> 00:14:36,960 Speaker 1: get it. Hi. Sure, Yeah. You know, part of the 259 00:14:37,000 --> 00:14:40,400 Speaker 1: problem with the supply chain security for these large technology 260 00:14:40,440 --> 00:14:43,400 Speaker 1: companies is, you know, the way the technology industry has 261 00:14:43,440 --> 00:14:46,640 Speaker 1: evolved is that most of the code is proprietor for 262 00:14:46,760 --> 00:14:50,560 Speaker 1: understandable reasons, Companies like Cisco, which make network switches that 263 00:14:50,600 --> 00:14:54,800 Speaker 1: shuttle data traffic. The very significant parts of these companies networks. Uh, 264 00:14:54,840 --> 00:14:57,240 Speaker 1: you know, their business is selling the code and the hardware, 265 00:14:57,280 --> 00:14:59,880 Speaker 1: and they don't open sources. They don't disclose that code 266 00:15:00,000 --> 00:15:03,320 Speaker 1: anybody else. The problem with that is if somebody is 267 00:15:03,360 --> 00:15:06,280 Speaker 1: able to tamper with the process of creating that code, 268 00:15:06,640 --> 00:15:08,600 Speaker 1: uh you know, typically it would be a foreign government 269 00:15:08,680 --> 00:15:11,560 Speaker 1: or even the US government. In some cases, uh you know, 270 00:15:11,640 --> 00:15:14,920 Speaker 1: customers like Facebook or Google or Apple, you know, or 271 00:15:15,000 --> 00:15:17,600 Speaker 1: LinkedIn or others had no way to check that code 272 00:15:17,640 --> 00:15:20,840 Speaker 1: to to verify the presence are not of a government 273 00:15:20,840 --> 00:15:23,720 Speaker 1: back door. This has taken out a new life after 274 00:15:23,720 --> 00:15:26,600 Speaker 1: they Edwards Snowden revelations of a few years ago, and 275 00:15:26,720 --> 00:15:29,000 Speaker 1: companies are now starting to try to create some of 276 00:15:29,040 --> 00:15:34,040 Speaker 1: that network switching code on their own. Hey, Jordan's a 277 00:15:34,040 --> 00:15:38,760 Speaker 1: great story. Can you just describe a photograph that really 278 00:15:39,080 --> 00:15:41,400 Speaker 1: kind of highlights what you're talking about? Just describe what's 279 00:15:41,400 --> 00:15:44,360 Speaker 1: in this photograph, where it came from, etcetera. Sure, there's 280 00:15:44,360 --> 00:15:46,280 Speaker 1: a very famous photograph that came out a couple of 281 00:15:46,320 --> 00:15:50,280 Speaker 1: years ago. Again, part of the Snowden League was published 282 00:15:50,280 --> 00:15:53,120 Speaker 1: in Glenn Greenwalt's book on the Snowden Leagues, and what 283 00:15:53,240 --> 00:15:56,600 Speaker 1: it shows is, you know, uh u s government officials 284 00:15:56,840 --> 00:16:01,200 Speaker 1: federal agents intercepting a piece of cisk O network hardware 285 00:16:01,240 --> 00:16:05,520 Speaker 1: equipment at a transmission a distribution facility, probably a UPS 286 00:16:05,640 --> 00:16:09,120 Speaker 1: or fed X or some other transit point, very carefully 287 00:16:09,160 --> 00:16:11,560 Speaker 1: opening the box and then taking it to a what 288 00:16:11,600 --> 00:16:13,720 Speaker 1: they call a load station, which is you know, just 289 00:16:13,760 --> 00:16:16,200 Speaker 1: some a series of laptops on the desk next to 290 00:16:16,240 --> 00:16:20,360 Speaker 1: the the conference table and loading it with you know, 291 00:16:20,440 --> 00:16:24,120 Speaker 1: basically malware with malicious code. And you know, this photo 292 00:16:24,280 --> 00:16:28,360 Speaker 1: really struck fear in the hearts of network operators throughout 293 00:16:28,360 --> 00:16:30,920 Speaker 1: Silicon Valley. Uh. You know, there are lots of things 294 00:16:30,920 --> 00:16:32,880 Speaker 1: in the snow and disclosures that struck fear in the 295 00:16:32,920 --> 00:16:36,160 Speaker 1: hearts of data center people, but this one especially because 296 00:16:36,200 --> 00:16:38,840 Speaker 1: what it showed them was you know, uh, you know, 297 00:16:38,920 --> 00:16:42,720 Speaker 1: the U. S. Government and others by extension, you know, 298 00:16:42,840 --> 00:16:45,960 Speaker 1: are able to intercept this hardware. And again when you 299 00:16:46,040 --> 00:16:49,400 Speaker 1: talk about Cisco and Juniper and network equipment, this is 300 00:16:49,480 --> 00:16:51,840 Speaker 1: central that the brains of these networks, who they're not 301 00:16:51,880 --> 00:16:55,520 Speaker 1: just computer servers either as switches that shuttle data traffic 302 00:16:55,560 --> 00:16:58,800 Speaker 1: around these networks, and they see everything basically either they 303 00:16:58,800 --> 00:17:01,280 Speaker 1: all seeing I and you know, if you're able to 304 00:17:01,320 --> 00:17:05,520 Speaker 1: interspect this equipment, modify the software code on it, uh 305 00:17:05,560 --> 00:17:09,520 Speaker 1: to maliciously spy on you all the data traffic passing 306 00:17:09,560 --> 00:17:12,520 Speaker 1: through these switches, you know, you're able to get visibility 307 00:17:12,520 --> 00:17:16,199 Speaker 1: into an entire network, and that's really scary for operators 308 00:17:16,240 --> 00:17:20,080 Speaker 1: of large data centers because for internet company, their data 309 00:17:20,240 --> 00:17:22,639 Speaker 1: is their lifeblood. But you know, if they lose control 310 00:17:22,680 --> 00:17:25,360 Speaker 1: of that, they lose control of the company. Hey, Jordan's 311 00:17:25,680 --> 00:17:28,919 Speaker 1: I think of this in terms of every problem that 312 00:17:29,000 --> 00:17:33,800 Speaker 1: technology creates. Technology with a heavy dose of experience and 313 00:17:33,960 --> 00:17:37,800 Speaker 1: funding works to find a solution. Right there are the 314 00:17:37,880 --> 00:17:43,520 Speaker 1: open compute project snap Route tell us about this, that's right, Yeah, 315 00:17:43,520 --> 00:17:45,480 Speaker 1: So that's that's really the crux of the story today 316 00:17:45,520 --> 00:17:49,119 Speaker 1: is that there's a company called snap Route out of Tawa, Alto, California. 317 00:17:49,160 --> 00:17:51,800 Speaker 1: They've just gotten twenty five million dollars in funding. You know, 318 00:17:51,960 --> 00:17:54,280 Speaker 1: big ZC announcements seemed to happen every day or every 319 00:17:54,320 --> 00:17:57,399 Speaker 1: week out in California. But what's interesting about them this 320 00:17:57,440 --> 00:18:00,760 Speaker 1: is a group of former former Apple engineers. Uh, you know, 321 00:18:00,800 --> 00:18:03,679 Speaker 1: they've been designing their own network technology for a while 322 00:18:03,760 --> 00:18:07,200 Speaker 1: for performance and other reasons, but security became a really 323 00:18:07,240 --> 00:18:09,360 Speaker 1: big focus for them and they said, look, we need 324 00:18:09,400 --> 00:18:13,040 Speaker 1: to have a hundred percent visibility into our code because 325 00:18:13,080 --> 00:18:16,480 Speaker 1: we just simply can't trust that these proprietary technologies from 326 00:18:16,480 --> 00:18:19,439 Speaker 1: Cisco and Juniper and others. Even if the companies have 327 00:18:19,520 --> 00:18:22,320 Speaker 1: the best of intentions, you know, are not compromised at 328 00:18:22,359 --> 00:18:25,400 Speaker 1: some point you know, along the way. So what they're 329 00:18:25,400 --> 00:18:27,520 Speaker 1: saying is we're going to create an open source switch 330 00:18:27,720 --> 00:18:30,439 Speaker 1: network switch. This is actually a really big deal because 331 00:18:30,520 --> 00:18:33,640 Speaker 1: open source technology has admitted for a very long time 332 00:18:33,680 --> 00:18:37,000 Speaker 1: in computing, but it hasn't really migrated to the network 333 00:18:37,320 --> 00:18:40,120 Speaker 1: switch level. And again, these are the brains of these 334 00:18:40,160 --> 00:18:43,119 Speaker 1: computer networks. It's hard stuff to do. But what the 335 00:18:43,400 --> 00:18:46,440 Speaker 1: goal is to give network operators at these big Internet 336 00:18:46,440 --> 00:18:51,360 Speaker 1: Silicon Valley companies visibility into what's happening on their network switches. 337 00:18:51,560 --> 00:18:55,399 Speaker 1: What's the likelihood this is going to fundamentally disrupt Cisco's business. 338 00:18:56,080 --> 00:18:58,639 Speaker 1: I'll tell you Cisco is nervous. Cisco very nervous to 339 00:18:58,720 --> 00:19:00,960 Speaker 1: talk with them for the story. You know, obviously they 340 00:19:01,119 --> 00:19:03,320 Speaker 1: know Cisco is a huge competitor here. I mean they 341 00:19:03,359 --> 00:19:06,240 Speaker 1: control over half of the computer networking market. They're not 342 00:19:06,280 --> 00:19:09,560 Speaker 1: going anywhere anytime soon. This is a very nascent, very 343 00:19:09,600 --> 00:19:12,119 Speaker 1: small market right now. It's only the large data center 344 00:19:12,119 --> 00:19:15,800 Speaker 1: operators up including big banks as well. They're doing this, however, 345 00:19:16,359 --> 00:19:18,520 Speaker 1: there's a lot of value here because you can drop 346 00:19:18,600 --> 00:19:21,399 Speaker 1: the price of this equipment by tens of thousands of 347 00:19:21,440 --> 00:19:24,280 Speaker 1: dollars if you're willing to kind of take some ownership 348 00:19:24,320 --> 00:19:26,960 Speaker 1: of the management of this stuff. So you could see 349 00:19:26,960 --> 00:19:31,240 Speaker 1: this eventually, you know, evolving from just the data center operators. Uh, 350 00:19:31,280 --> 00:19:34,600 Speaker 1: you know too, smaller midsize and smaller company. That's the 351 00:19:34,640 --> 00:19:37,320 Speaker 1: ways off. But I will play Cisco and the other 352 00:19:37,440 --> 00:19:40,720 Speaker 1: legacy technology vendors are very nervous because there are a 353 00:19:40,760 --> 00:19:43,399 Speaker 1: lot of advantages to this technology, some downsides to but 354 00:19:43,520 --> 00:19:46,280 Speaker 1: some big advantages. Thanks very much for being with us 355 00:19:46,280 --> 00:19:50,000 Speaker 1: and shedding light on this topic. Jordan Robertson, technology reporter 356 00:19:50,119 --> 00:19:55,960 Speaker 1: for Bloomberg News, speaking about open compute projects, snap Root 357 00:19:56,440 --> 00:20:11,760 Speaker 1: and challenges to Cisco. I want to get David Well 358 00:20:11,840 --> 00:20:14,440 Speaker 1: to bring him into the conversation. He's Detroit bureau chief. 359 00:20:14,560 --> 00:20:17,640 Speaker 1: He covers General Motors, and Uh, David, can you give 360 00:20:17,720 --> 00:20:21,239 Speaker 1: us some insight into why such a negative response from 361 00:20:21,280 --> 00:20:27,080 Speaker 1: stock investors? Well, General Motors is really defied gravity All 362 00:20:27,160 --> 00:20:29,280 Speaker 1: year long, the market has gotten a little bit softer 363 00:20:29,480 --> 00:20:32,320 Speaker 1: or it's flattened. You've seen Forward pulled back on their 364 00:20:32,320 --> 00:20:35,720 Speaker 1: earnings forecast and they've missed some of their numbers, and 365 00:20:35,840 --> 00:20:38,240 Speaker 1: GM has been able to keep keep pushing. The growth 366 00:20:38,640 --> 00:20:41,520 Speaker 1: showed weaker margins and they're showing growing inventories, which is 367 00:20:41,720 --> 00:20:44,240 Speaker 1: I think giving some investors a little bit of worry 368 00:20:44,320 --> 00:20:48,600 Speaker 1: that maybe even GM is is unable to keep the 369 00:20:48,600 --> 00:20:51,440 Speaker 1: proper train going with the market that's kind of flattening 370 00:20:51,440 --> 00:20:54,160 Speaker 1: out a bit, maybe going a little bit soft. David, 371 00:20:54,240 --> 00:20:56,919 Speaker 1: I was looking at the performance of General Motors stock 372 00:20:57,320 --> 00:20:59,880 Speaker 1: before today. It was up fourteen percent, so you've got 373 00:20:59,880 --> 00:21:03,600 Speaker 1: the dropped today. This is from the election of fourteen percent. 374 00:21:03,640 --> 00:21:06,159 Speaker 1: Since the election, the four percent dropped today, So I 375 00:21:06,160 --> 00:21:09,760 Speaker 1: mean the stock has already had a decent run. Did 376 00:21:09,760 --> 00:21:12,840 Speaker 1: you learn anything today the details of anything like free 377 00:21:12,880 --> 00:21:15,639 Speaker 1: cash flow or margins in China? What stood out to 378 00:21:15,640 --> 00:21:19,840 Speaker 1: you in today's detailed report. The thing that jumped out 379 00:21:19,880 --> 00:21:21,679 Speaker 1: of me the most was that in the fourth quarter, 380 00:21:22,080 --> 00:21:25,320 Speaker 1: margins in North America. So, and that's really the profit horse. 381 00:21:25,840 --> 00:21:28,160 Speaker 1: China is a real money maker for them. It's about 382 00:21:28,160 --> 00:21:30,959 Speaker 1: two billion dollars a year. But then you look at 383 00:21:30,960 --> 00:21:33,000 Speaker 1: the nine to ten billion a year that GM has 384 00:21:33,040 --> 00:21:36,840 Speaker 1: been making and you know the rest of it, and 385 00:21:36,880 --> 00:21:39,520 Speaker 1: then some comes from North America. So you saw a 386 00:21:39,520 --> 00:21:41,720 Speaker 1: fourth quarter of stall margins go from ten percent a 387 00:21:41,800 --> 00:21:44,320 Speaker 1: year ago two I think it was eight and a 388 00:21:44,359 --> 00:21:48,080 Speaker 1: half percent. Roughly, It's it's not awful, it's a good performance, 389 00:21:48,560 --> 00:21:51,359 Speaker 1: but it's it's headed in the wrong direction. Now. GM 390 00:21:51,440 --> 00:21:53,119 Speaker 1: had a lot of reasons for this. They're saying that 391 00:21:53,160 --> 00:21:56,720 Speaker 1: they've got a lot of SUVs coming to market later 392 00:21:57,000 --> 00:21:59,560 Speaker 1: this year that will really help margins. So they're in 393 00:21:59,560 --> 00:22:02,439 Speaker 1: inventor build out right now. Uh, and a lot of 394 00:22:02,480 --> 00:22:05,800 Speaker 1: the cars really still dominate their a lot in terms 395 00:22:05,840 --> 00:22:07,879 Speaker 1: of what they're offering consumers, and cars are out of 396 00:22:07,920 --> 00:22:10,560 Speaker 1: favor and require a lot of incentives. They're saying, hey, 397 00:22:10,560 --> 00:22:13,080 Speaker 1: the good stuff really isn't on the lot yet. When 398 00:22:13,119 --> 00:22:15,160 Speaker 1: it is, we're going to make good money. And they 399 00:22:15,160 --> 00:22:17,439 Speaker 1: did affirm their their guidance that they will again have 400 00:22:17,560 --> 00:22:20,959 Speaker 1: record profits for two thousand seventeen. But I think analysts 401 00:22:21,000 --> 00:22:24,480 Speaker 1: and investors are looking at this and saying, margins North 402 00:22:24,480 --> 00:22:30,360 Speaker 1: America fell, inventories are higher, incentives are higher, We'll wait 403 00:22:30,400 --> 00:22:32,600 Speaker 1: and see, we'll we'll we'll put our money somewhere else 404 00:22:32,640 --> 00:22:35,400 Speaker 1: and see if they can can show a better first quarter. 405 00:22:35,600 --> 00:22:38,359 Speaker 1: I think some of that is going on David, just quickly, 406 00:22:38,880 --> 00:22:41,719 Speaker 1: is this is the strategy of GM and other automobile makers. 407 00:22:41,840 --> 00:22:44,959 Speaker 1: Is it all based on sub three dollar at gallon gasoline? 408 00:22:46,320 --> 00:22:49,119 Speaker 1: Pretty much? Well, let's put it this way. It's based 409 00:22:49,160 --> 00:22:54,080 Speaker 1: on some price of gasoline that doesn't make consumers buy 410 00:22:54,160 --> 00:22:56,280 Speaker 1: what they're buying today. And the reason I say that 411 00:22:56,480 --> 00:22:59,080 Speaker 1: is we've said in the past, oh my god, two 412 00:22:59,119 --> 00:23:01,240 Speaker 1: dour a gallon gas known to buy a truck Again 413 00:23:01,560 --> 00:23:03,320 Speaker 1: it hit it, and they did all three hour again 414 00:23:03,359 --> 00:23:05,040 Speaker 1: and gas known to buy, and I should be again, 415 00:23:05,320 --> 00:23:07,560 Speaker 1: and they did. There's a magic number in there. I'd 416 00:23:07,600 --> 00:23:10,760 Speaker 1: say it's probably more like three fifty where consumers really 417 00:23:10,760 --> 00:23:13,440 Speaker 1: start to change. But your point is is basically right, 418 00:23:13,880 --> 00:23:18,080 Speaker 1: if gas gets very expensive than the market prospect passenger cars, 419 00:23:18,080 --> 00:23:20,600 Speaker 1: that's lower margins and that's not good for anybody in 420 00:23:20,600 --> 00:23:24,000 Speaker 1: the industry. Dave Wilson, I want to get your sense, 421 00:23:24,080 --> 00:23:26,240 Speaker 1: just on a broader level of how much of the 422 00:23:26,280 --> 00:23:29,720 Speaker 1: response to GM's earnings is being colored by a broader 423 00:23:29,760 --> 00:23:32,720 Speaker 1: sense that the auto industry is plateau ing at best 424 00:23:32,760 --> 00:23:34,639 Speaker 1: and headed for a slight dip. I mean, are you 425 00:23:34,680 --> 00:23:37,040 Speaker 1: seeing reactions and shares It kind of gives insight on 426 00:23:37,040 --> 00:23:39,760 Speaker 1: that well, you want to talk about plateau. I mean, 427 00:23:39,880 --> 00:23:45,000 Speaker 1: GM shares peaked back in December. They've basically been up 428 00:23:45,040 --> 00:23:47,960 Speaker 1: and down since then. So you know, today being a 429 00:23:48,040 --> 00:23:51,600 Speaker 1: down day, you're really talking about, you know, more fluctuation 430 00:23:51,840 --> 00:23:55,400 Speaker 1: for a stock that has kind of topped out. Uh. 431 00:23:55,640 --> 00:23:58,040 Speaker 1: And you look at Forward, I mean, you know, it's 432 00:23:58,080 --> 00:24:00,480 Speaker 1: come down the last couple of years as OW. I mean, 433 00:24:01,320 --> 00:24:04,760 Speaker 1: so it's not like the boom times that we've seen 434 00:24:04,800 --> 00:24:08,080 Speaker 1: in the auto industry lately have led to boom times 435 00:24:08,119 --> 00:24:10,879 Speaker 1: for the shares. So you know, there's the concern about 436 00:24:10,920 --> 00:24:13,879 Speaker 1: what happens down the road. I mean, certainly they're vulnerable 437 00:24:13,960 --> 00:24:17,080 Speaker 1: to whatever gasoline prices are going to be, and we've 438 00:24:17,119 --> 00:24:19,399 Speaker 1: seen crude oil pick up in the past several months. 439 00:24:19,400 --> 00:24:22,040 Speaker 1: But beyond that, it's really just a matter of how 440 00:24:22,080 --> 00:24:25,479 Speaker 1: long do things keep going. That's as much as anything 441 00:24:25,480 --> 00:24:27,840 Speaker 1: a focus here, David. Can I just get your thoughts 442 00:24:27,880 --> 00:24:29,800 Speaker 1: on some of the other automakers, because I'm looking at 443 00:24:29,840 --> 00:24:33,440 Speaker 1: the shares of Fiat Chrysler and they are down as well, 444 00:24:33,520 --> 00:24:36,080 Speaker 1: down about three and a half percent. Does this do 445 00:24:36,160 --> 00:24:41,280 Speaker 1: anything to that idea putting Fiat together with GM, Well, 446 00:24:41,880 --> 00:24:45,480 Speaker 1: that idea has not really first of GM doesn't want 447 00:24:45,480 --> 00:24:49,040 Speaker 1: to do it. I think GM shares initially didn't react 448 00:24:49,080 --> 00:24:51,960 Speaker 1: so hot when that idea was floated. And one of 449 00:24:51,960 --> 00:24:54,679 Speaker 1: the reasons is we've seen auto mergers in the past 450 00:24:55,160 --> 00:24:57,879 Speaker 1: not really work so well. We're no Nissan maybe the 451 00:24:58,000 --> 00:25:01,920 Speaker 1: lone example, UM, but you know, diam Ward Krysler was 452 00:25:01,960 --> 00:25:04,040 Speaker 1: a big failure. A lot of the joint ventures haven't 453 00:25:04,080 --> 00:25:07,439 Speaker 1: worked out. And if you look at GM, you know what, 454 00:25:07,640 --> 00:25:10,760 Speaker 1: once if GM were to take fied Chrysler, you still 455 00:25:10,800 --> 00:25:12,600 Speaker 1: have this passenger car line up. You still have a 456 00:25:12,640 --> 00:25:15,560 Speaker 1: lot of plants and and redundancy they need to take out, 457 00:25:16,119 --> 00:25:18,480 Speaker 1: and then you're managing like eleven brands. That was the 458 00:25:18,480 --> 00:25:22,760 Speaker 1: problem GM had before bankruptcy. And you know that it's 459 00:25:22,800 --> 00:25:26,520 Speaker 1: just it becomes very unwieldy. So you know, I don't 460 00:25:27,040 --> 00:25:30,520 Speaker 1: I've never really uh seen a great case for this, 461 00:25:30,680 --> 00:25:33,560 Speaker 1: other than from the Fied Chrysler side, which, hey, we 462 00:25:33,600 --> 00:25:36,399 Speaker 1: need scale and we need investment. We gotta know, we 463 00:25:36,480 --> 00:25:38,760 Speaker 1: got we gotta go on, we gotta move on. Thanks 464 00:25:38,800 --> 00:25:41,760 Speaker 1: very much. David Welch, a bureau chief Bloomberg News Smart 465 00:25:41,800 --> 00:25:50,080 Speaker 1: Detroit Bureau, Thanks for listening to the Bloomberg p m 466 00:25:50,160 --> 00:25:54,960 Speaker 1: L podcast. You can subscribe and listen to interviews at iTunes, SoundCloud, 467 00:25:55,200 --> 00:25:59,359 Speaker 1: or whatever podcast platform you prefer. I'm pim Fox. I'm 468 00:25:59,400 --> 00:26:02,160 Speaker 1: out there on two are at him Fox. I'm out 469 00:26:02,160 --> 00:26:05,640 Speaker 1: there on Twitter at Lisa Abramo. It's one before the podcast. 470 00:26:05,680 --> 00:26:16,760 Speaker 1: You can always catch us worldwide on Bloomberg Radio. 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