1 00:00:04,760 --> 00:00:08,080 Speaker 1: Welcome to the Bloomberg pim L Podcast. I'm pim Fox. 2 00:00:08,119 --> 00:00:11,200 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,280 --> 00:00:14,480 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:14,520 --> 00:00:16,880 Speaker 1: you and your money, whether at the grocery store or 5 00:00:16,920 --> 00:00:20,680 Speaker 1: the trading floor. Find the Bloomberg p L Podcast on iTunes, 6 00:00:20,840 --> 00:00:28,200 Speaker 1: SoundCloud and at Bloomberg dot com. And here in the 7 00:00:28,240 --> 00:00:30,520 Speaker 1: studio with us is Paul Christopher. He is head of 8 00:00:30,520 --> 00:00:34,600 Speaker 1: Global market Strategy for Wells Fargo Institute and he joins 9 00:00:34,680 --> 00:00:36,360 Speaker 1: us now. Paul, thank you very much for being with us. 10 00:00:36,440 --> 00:00:38,239 Speaker 1: Great to be with you again. Pim um, What has 11 00:00:38,320 --> 00:00:41,760 Speaker 1: happened in your life since the conclusion of the US 12 00:00:41,800 --> 00:00:45,000 Speaker 1: presidential election? Give us a little window into the world 13 00:00:45,080 --> 00:00:48,640 Speaker 1: of a global strategy. You mean besides no sleep. Uh, well, 14 00:00:48,720 --> 00:00:51,279 Speaker 1: you could add that to the mix as well. How 15 00:00:51,280 --> 00:00:54,040 Speaker 1: are you handling it? Well? What? What? What we're seeing 16 00:00:54,120 --> 00:00:58,520 Speaker 1: is a markets really anticipating a lot, extrapolating a lot, 17 00:00:59,080 --> 00:01:02,440 Speaker 1: and we're still we're still pretty cautious on whether or 18 00:01:02,480 --> 00:01:06,840 Speaker 1: not those extrapolations and anticipations will be fully realized, especially 19 00:01:07,200 --> 00:01:09,080 Speaker 1: in the near term. I mean people, right, I mean 20 00:01:09,120 --> 00:01:11,280 Speaker 1: people are doing all the people are doings or a 21 00:01:11,280 --> 00:01:15,000 Speaker 1: computer of some kind. But basically, people are are making 22 00:01:15,040 --> 00:01:19,520 Speaker 1: these decisions, these speculative bets. People are making anticipatory bets 23 00:01:19,600 --> 00:01:21,680 Speaker 1: on how they think policy will work out, and some 24 00:01:21,720 --> 00:01:24,039 Speaker 1: of those bets may have to be changed over the 25 00:01:24,040 --> 00:01:27,080 Speaker 1: coming weeks and months as we see the how the 26 00:01:27,160 --> 00:01:31,520 Speaker 1: president elect will prioritize the new policy initiatives, and how 27 00:01:31,560 --> 00:01:34,880 Speaker 1: the Congress will play with the new president going forward. So, Paul, 28 00:01:35,280 --> 00:01:38,840 Speaker 1: before offline, we were talking about how you're advising clients 29 00:01:38,920 --> 00:01:42,800 Speaker 1: to not change their investment strategies from before the election, 30 00:01:42,840 --> 00:01:45,679 Speaker 1: to sort of stay the course. So what were you 31 00:01:45,720 --> 00:01:49,600 Speaker 1: advising then as far as the proportion of cash people 32 00:01:49,640 --> 00:01:53,520 Speaker 1: should be holding, the mix of bonds and stocks, our 33 00:01:53,560 --> 00:01:57,680 Speaker 1: tactical views were, We're really pretty pretty cautious, pretty defensive. 34 00:01:57,880 --> 00:02:00,240 Speaker 1: We're holding a little bit of cash on the sideline's 35 00:02:00,280 --> 00:02:04,080 Speaker 1: looking for an opportunity, but we're really oriented towards quality. 36 00:02:04,320 --> 00:02:07,360 Speaker 1: So we've been overweight US large cap stocks, but we've 37 00:02:07,360 --> 00:02:09,640 Speaker 1: been underweight US small caps as we get to a 38 00:02:09,680 --> 00:02:12,000 Speaker 1: point in the cycle where things might not look so 39 00:02:12,040 --> 00:02:15,359 Speaker 1: good for small caps. We've been underweight emerging market equities 40 00:02:15,400 --> 00:02:17,640 Speaker 1: and that's hurt a little bit. But we do still 41 00:02:17,680 --> 00:02:20,720 Speaker 1: see some problems, some real challenges in those places. We've 42 00:02:20,760 --> 00:02:23,040 Speaker 1: also been underweight the long end of the yield curve 43 00:02:23,080 --> 00:02:25,600 Speaker 1: and overweight the middle part of the yield curve. Really 44 00:02:25,919 --> 00:02:29,160 Speaker 1: not wanting to take chances that we'll get sudden changes 45 00:02:29,160 --> 00:02:31,880 Speaker 1: and yields, and therefore we would prefer to have people 46 00:02:32,040 --> 00:02:36,280 Speaker 1: position more intermediately. Let's just take a couple of those specifics. 47 00:02:36,320 --> 00:02:38,680 Speaker 1: I want to ask you about small and mid cap stocks. 48 00:02:38,720 --> 00:02:41,760 Speaker 1: For example, the Russell two thousand has seen a very 49 00:02:41,800 --> 00:02:45,240 Speaker 1: good run since the results of the presidential election. The 50 00:02:45,360 --> 00:02:49,919 Speaker 1: dollar has also strengthened. Would that help small and mid 51 00:02:50,000 --> 00:02:52,840 Speaker 1: cap companies that mainly do business, let's say in the 52 00:02:52,919 --> 00:02:56,040 Speaker 1: United States, that don't have that currency risk. Historically that 53 00:02:56,040 --> 00:02:58,560 Speaker 1: that has been the connection him, But but it may 54 00:02:58,600 --> 00:03:02,080 Speaker 1: be not quite so so going forward, supposed the administration, 55 00:03:02,120 --> 00:03:04,080 Speaker 1: for example, where to start working on a lot of 56 00:03:04,120 --> 00:03:08,079 Speaker 1: trade restrictions. A lot of US companies have supply chains 57 00:03:08,080 --> 00:03:10,960 Speaker 1: that extend beyond our borders. Uh. You could have a 58 00:03:11,000 --> 00:03:14,560 Speaker 1: small manufacturer, for example, that imports electric motors from Mexico. 59 00:03:14,600 --> 00:03:18,200 Speaker 1: If Mexico is targeted for trade sanctions, those motors get 60 00:03:18,240 --> 00:03:20,280 Speaker 1: more expensive, and all of a sudden earnings get hit 61 00:03:20,440 --> 00:03:23,360 Speaker 1: or prices have to rise. So it's not necessarily the 62 00:03:23,400 --> 00:03:25,480 Speaker 1: case going forward that we can rely on on some 63 00:03:25,520 --> 00:03:30,399 Speaker 1: of those old one on one relationships. Inflation. Before the election, 64 00:03:30,720 --> 00:03:34,320 Speaker 1: the dominant view before the election, the dominant view was 65 00:03:34,400 --> 00:03:37,200 Speaker 1: that we were in a slow growth period with some inflation, 66 00:03:37,360 --> 00:03:41,240 Speaker 1: but nothing that was too too much to write home about. Now, 67 00:03:41,280 --> 00:03:43,000 Speaker 1: all of a sudden, people are pricing in much higher 68 00:03:43,080 --> 00:03:44,840 Speaker 1: rates of inflation. Where do you stand on that? Yeah, 69 00:03:44,920 --> 00:03:47,560 Speaker 1: well you you you. The reason they're doing that is 70 00:03:47,560 --> 00:03:51,360 Speaker 1: because they're seeing policy promises made on the campaign trail. 71 00:03:51,400 --> 00:03:55,080 Speaker 1: And remember the campaign trail is subject to hyperbole, so 72 00:03:55,160 --> 00:03:57,120 Speaker 1: it's it's always possible that we could see some of 73 00:03:57,120 --> 00:03:59,880 Speaker 1: these promises not quite work out the way they were promised. 74 00:04:00,320 --> 00:04:03,320 Speaker 1: But on the campaign trail, promises of trade restrictions are 75 00:04:03,360 --> 00:04:06,680 Speaker 1: themselves inflationary, as well as promises that we're going to 76 00:04:06,720 --> 00:04:09,680 Speaker 1: cut taxes and increased let's say, infrastructure spending that would 77 00:04:09,720 --> 00:04:12,040 Speaker 1: also tend to be uh tend to tend to work 78 00:04:12,280 --> 00:04:15,200 Speaker 1: towards inflation. So whether one looked at one side of 79 00:04:15,200 --> 00:04:17,919 Speaker 1: the promises or another, inflation seemed to be the result. 80 00:04:18,000 --> 00:04:20,600 Speaker 1: And that's that that also appears to be the result 81 00:04:20,640 --> 00:04:23,200 Speaker 1: of the market pricing in the last week or so. Paul, 82 00:04:23,320 --> 00:04:26,560 Speaker 1: if you love the US Treasury a tenure, for example, 83 00:04:26,640 --> 00:04:29,560 Speaker 1: and under two percent, do you really really love them 84 00:04:29,600 --> 00:04:33,600 Speaker 1: now that they're above two Well, some some increase in 85 00:04:33,680 --> 00:04:36,200 Speaker 1: yields is probably inevitable. The question will be what's going 86 00:04:36,240 --> 00:04:38,640 Speaker 1: to be the timing. Do we expect to see all 87 00:04:38,680 --> 00:04:42,039 Speaker 1: of those policies develop inflation all at once, or do 88 00:04:42,080 --> 00:04:45,040 Speaker 1: we expect the inflation effects to develop over time, or 89 00:04:45,080 --> 00:04:47,599 Speaker 1: do we expect instead that some of those inflationary effects 90 00:04:47,600 --> 00:04:50,560 Speaker 1: maybe offsetting to one another. For example, if you had 91 00:04:50,640 --> 00:04:53,760 Speaker 1: higher yields, that could slow growth and therefore slow inflation. 92 00:04:53,839 --> 00:04:56,200 Speaker 1: Now I don't understand that, but I'm just wondering. For example, 93 00:04:56,240 --> 00:04:59,000 Speaker 1: if now you were to buy the US tenure, you 94 00:04:59,000 --> 00:05:02,159 Speaker 1: would get two point to one percent. If you are 95 00:05:02,320 --> 00:05:05,520 Speaker 1: long the US tenure at anything less than that, would 96 00:05:05,520 --> 00:05:08,240 Speaker 1: you recommend people buy it? Well, we want, we want 97 00:05:08,279 --> 00:05:11,120 Speaker 1: clients to be up to their their they're recommended long 98 00:05:11,240 --> 00:05:13,880 Speaker 1: term allocations and ten years. But we are over or 99 00:05:13,920 --> 00:05:16,919 Speaker 1: excuse me, we're underweight, Uh, the long term part of 100 00:05:16,920 --> 00:05:20,320 Speaker 1: the yield curve again, because there's always that risk volatility 101 00:05:20,600 --> 00:05:24,720 Speaker 1: out there where sudden increases and yields would damage the portfolio, 102 00:05:24,640 --> 00:05:27,599 Speaker 1: the bond portfolio. What what's the scariest spot in the 103 00:05:27,600 --> 00:05:31,440 Speaker 1: market right now? Uh, good question. Scariest spot in the 104 00:05:31,480 --> 00:05:34,240 Speaker 1: market might be a bet that commodity prices are going 105 00:05:34,240 --> 00:05:36,960 Speaker 1: to rise here if you're if you're thinking maybe that 106 00:05:37,000 --> 00:05:40,720 Speaker 1: the Trump administration would boost growth and maybe boost inflation, 107 00:05:40,760 --> 00:05:43,880 Speaker 1: and therefore the commodity prices would rise in response or 108 00:05:44,000 --> 00:05:46,880 Speaker 1: rise simultaneously. We think that's a bit of a bit 109 00:05:46,920 --> 00:05:49,200 Speaker 1: of a stretch. After all, supply and demand in the 110 00:05:49,200 --> 00:05:53,320 Speaker 1: commodity world still really hasn't been re established convincingly. We 111 00:05:53,360 --> 00:05:56,560 Speaker 1: still think those commodity prices have some years of bouncing 112 00:05:56,560 --> 00:05:59,040 Speaker 1: around and ranges to go. Are there any screaming buys 113 00:05:59,800 --> 00:06:02,720 Speaker 1: and no, not really. Again, we would want we would 114 00:06:02,720 --> 00:06:06,320 Speaker 1: want clients to mostly be looking to take advantage. Uh. 115 00:06:06,360 --> 00:06:09,080 Speaker 1: If you, for example, are underweight and treasuries, it might 116 00:06:09,120 --> 00:06:11,680 Speaker 1: be a good time to start averaging into that market. 117 00:06:12,000 --> 00:06:14,240 Speaker 1: If you're underweight and equities, we would be averaging into 118 00:06:14,279 --> 00:06:16,760 Speaker 1: that market right now, just to make sure that you're 119 00:06:16,800 --> 00:06:19,240 Speaker 1: at the at the recommended long term levels. We'll get 120 00:06:19,320 --> 00:06:22,279 Speaker 1: more clarity and we can adjust tactical positions later on, 121 00:06:22,279 --> 00:06:25,359 Speaker 1: once we see again how the president's priority list looks 122 00:06:25,680 --> 00:06:28,520 Speaker 1: and how the Congress plays with that list. What about 123 00:06:28,560 --> 00:06:31,440 Speaker 1: corporate earnings. I thought that corporate earnings were a determinant 124 00:06:31,440 --> 00:06:34,680 Speaker 1: for long term stock performance. Long term stock performance. Yes, 125 00:06:35,120 --> 00:06:38,600 Speaker 1: tactically we're we're still seeing about a six to seven 126 00:06:38,600 --> 00:06:41,960 Speaker 1: percent gain and earnings for next year, but possibly some 127 00:06:42,040 --> 00:06:45,560 Speaker 1: cap on valuations if inflation does surprise to the upside. Why, 128 00:06:45,600 --> 00:06:47,839 Speaker 1: because you think that investors won't pay more for the 129 00:06:47,920 --> 00:06:50,159 Speaker 1: same dollar of earnings. You won't get that expansion in 130 00:06:50,160 --> 00:06:53,600 Speaker 1: the multiple. That's right. Yeah, if you get some expansion, sorry, 131 00:06:53,600 --> 00:06:56,360 Speaker 1: if you get some expansion and multiples, let's say at midyear, 132 00:06:56,400 --> 00:06:59,479 Speaker 1: and then inflation starts to surprise on the upside later 133 00:06:59,520 --> 00:07:01,520 Speaker 1: in the year, you have to start bringing the fedback 134 00:07:01,520 --> 00:07:04,239 Speaker 1: into the picture, and will they accelerate their rate hikes 135 00:07:04,440 --> 00:07:07,200 Speaker 1: and that would be a damaging a factor, or at 136 00:07:07,240 --> 00:07:10,600 Speaker 1: least a speculative factor for bears. Paul, you came in 137 00:07:10,640 --> 00:07:12,680 Speaker 1: here and you said that you haven't been sleeping very much. 138 00:07:13,120 --> 00:07:15,720 Speaker 1: What's been keeping you up? What's keeping me up really 139 00:07:15,840 --> 00:07:18,280 Speaker 1: is what sort of policy mix we're going to see 140 00:07:18,320 --> 00:07:21,560 Speaker 1: out of the new administration. I'm not so concerned about 141 00:07:21,640 --> 00:07:24,320 Speaker 1: the fiscal policy mix. I think we'll see something there 142 00:07:24,720 --> 00:07:27,960 Speaker 1: that will be stimulative, and the deregulatory aspect will be 143 00:07:28,000 --> 00:07:30,880 Speaker 1: positive for the market. But it's the trade element. How 144 00:07:30,920 --> 00:07:34,120 Speaker 1: will the new administration handle the promises to be much 145 00:07:34,160 --> 00:07:37,560 Speaker 1: more restrictive on trade At a point here where inflation 146 00:07:37,640 --> 00:07:39,880 Speaker 1: is still benign but could get worse if if we 147 00:07:39,920 --> 00:07:42,720 Speaker 1: restrict trade, and at a point here where global trade 148 00:07:42,760 --> 00:07:46,680 Speaker 1: itself has has just begun to recover from a big contraction. 149 00:07:47,000 --> 00:07:50,480 Speaker 1: We really don't need another big restriction in global trade. 150 00:07:50,680 --> 00:07:52,640 Speaker 1: Paul Christopher, thank you so much for being with Thank 151 00:07:52,640 --> 00:07:56,400 Speaker 1: you and Paul Christopher had Global market Strategistic well Wells 152 00:07:56,480 --> 00:08:00,280 Speaker 1: Fargo Investment Institute in St. Louis. And Lisa Brown always 153 00:08:00,280 --> 00:08:16,480 Speaker 1: here with pim Fox. This is Bloomberg, This is Bloomberg Markets. 154 00:08:16,520 --> 00:08:18,840 Speaker 1: I'm pim Fox along with Lisa A. Brahma. What's the 155 00:08:18,840 --> 00:08:22,840 Speaker 1: shares of Apple have fallen about four percent since the 156 00:08:22,880 --> 00:08:26,040 Speaker 1: results of the U S presidential election? So what is 157 00:08:26,120 --> 00:08:29,120 Speaker 1: next for apprile? And is it losing its place as 158 00:08:29,160 --> 00:08:33,280 Speaker 1: the crown jewel of a technology company? Shira Ovid joins 159 00:08:33,360 --> 00:08:36,240 Speaker 1: US now. She is a technology columnist and a Bloomberg. 160 00:08:36,320 --> 00:08:40,560 Speaker 1: Gadfly are a fast commentary section of Bloomberg and you 161 00:08:40,559 --> 00:08:44,120 Speaker 1: can follow her on Twitter at Shira Oda. Sure, thanks 162 00:08:44,200 --> 00:08:46,080 Speaker 1: very much for being here. Thank you. So what is 163 00:08:46,120 --> 00:08:50,080 Speaker 1: this about Apple losing its technology? Itch? Yeah, well, I 164 00:08:50,120 --> 00:08:53,600 Speaker 1: think this has basically been a narrative for Apple really 165 00:08:53,640 --> 00:08:57,000 Speaker 1: in the last five years under Tim Cook, who, of course, 166 00:08:57,480 --> 00:09:00,400 Speaker 1: um was the successor to Steve Jobs, the famous co 167 00:09:00,559 --> 00:09:04,000 Speaker 1: founder and longtime CEO of Apple. And there's been a 168 00:09:04,120 --> 00:09:08,760 Speaker 1: question basically since Tim Cook took over about whether Apple 169 00:09:08,800 --> 00:09:14,200 Speaker 1: can sustain its long time position as basically the trendsetter 170 00:09:14,640 --> 00:09:17,679 Speaker 1: in the technology industry. This is a company that for 171 00:09:17,720 --> 00:09:21,760 Speaker 1: a long time took niche ideas like smartphones, like digital 172 00:09:21,840 --> 00:09:26,040 Speaker 1: music players and turn them into basically world changing products 173 00:09:26,040 --> 00:09:29,680 Speaker 1: and world changing ideas, and it doesn't seem to be 174 00:09:29,760 --> 00:09:32,840 Speaker 1: able to do that anymore. Okay, Sira, You know, I 175 00:09:32,880 --> 00:09:34,760 Speaker 1: love it because you sit in my row and we 176 00:09:34,840 --> 00:09:37,240 Speaker 1: kind of come up with doomsday scenarios and throw them 177 00:09:37,280 --> 00:09:41,719 Speaker 1: against each other and are perennially perennially pessimistic. So, um, 178 00:09:42,040 --> 00:09:44,320 Speaker 1: I I read your column and it was like, yes, 179 00:09:44,480 --> 00:09:48,720 Speaker 1: right right in line with the perennial time exactly um So, 180 00:09:48,800 --> 00:09:51,200 Speaker 1: Apple Marker and Alex web and in King of blubric 181 00:09:51,280 --> 00:09:54,280 Speaker 1: Days reported that Apple is weighing an expansion into digital glasses. 182 00:09:54,720 --> 00:09:57,560 Speaker 1: Um and this you sort of take a look at 183 00:09:58,200 --> 00:10:02,080 Speaker 1: what they could bring to it that Google failed to 184 00:10:02,160 --> 00:10:05,360 Speaker 1: bring in two thirteen. What are some of the advancements 185 00:10:05,400 --> 00:10:08,839 Speaker 1: that they could bring that could potentially be lucrative for them? Yes, 186 00:10:08,920 --> 00:10:11,640 Speaker 1: so so, as our colleagues reported right at, Apple is 187 00:10:12,480 --> 00:10:14,640 Speaker 1: kind of working on this idea that may never come 188 00:10:14,679 --> 00:10:17,880 Speaker 1: to fruition as as all you know, design and research 189 00:10:17,960 --> 00:10:20,520 Speaker 1: labs and tech companies, sometimes you work on things that 190 00:10:20,559 --> 00:10:23,320 Speaker 1: don't pan out. But they're working on those kind of 191 00:10:23,320 --> 00:10:28,280 Speaker 1: digital glasses that aren't dissimilar to if people remember Google Glass, 192 00:10:28,320 --> 00:10:30,520 Speaker 1: which was a product that Google kind of flopped on 193 00:10:30,600 --> 00:10:33,640 Speaker 1: a couple of years ago. But this idea of kind 194 00:10:33,640 --> 00:10:36,920 Speaker 1: of eyewear that combines what you see in the real 195 00:10:37,000 --> 00:10:40,120 Speaker 1: world with digital images, Like you might be walking down 196 00:10:40,160 --> 00:10:42,920 Speaker 1: the street and it will show you a digital map 197 00:10:43,120 --> 00:10:45,959 Speaker 1: of walking directions to the coffee shop that you're going 198 00:10:46,000 --> 00:10:47,959 Speaker 1: to or things like that. So why now, I mean, 199 00:10:48,040 --> 00:10:51,360 Speaker 1: is this basically a really high tech version of Pokemon 200 00:10:51,440 --> 00:10:54,360 Speaker 1: Go that can be made more easy for people. Pretty 201 00:10:54,400 --> 00:10:56,320 Speaker 1: much yes. I mean the thing that we don't know, 202 00:10:56,360 --> 00:11:01,280 Speaker 1: of course, and maybe Apple doesn't itself know, is what 203 00:11:01,280 --> 00:11:04,640 Speaker 1: what does this technology do that will really bring something 204 00:11:04,760 --> 00:11:07,720 Speaker 1: you know, clever and innovative to our lives. And Google 205 00:11:07,840 --> 00:11:10,080 Speaker 1: couldn't figure it out, and that's one reason why um 206 00:11:10,160 --> 00:11:14,360 Speaker 1: it pulled glass from circulation. But there is this kind 207 00:11:14,360 --> 00:11:18,120 Speaker 1: of emerging technology against sort of mix digital and UH 208 00:11:18,240 --> 00:11:21,600 Speaker 1: and real life in these kind of wearable gizmos are 209 00:11:21,640 --> 00:11:24,760 Speaker 1: on your phone, and that's clearly kind of a trend 210 00:11:24,800 --> 00:11:27,200 Speaker 1: for the future. But the question that I raise is 211 00:11:27,480 --> 00:11:30,679 Speaker 1: does Apple have a clear vision about this or about 212 00:11:30,679 --> 00:11:34,160 Speaker 1: anything else uh in terms of what it can do 213 00:11:34,320 --> 00:11:38,559 Speaker 1: to a technology to make it mainstream and actually world changing. 214 00:11:38,760 --> 00:11:40,319 Speaker 1: And I don't know the answer to that, but the 215 00:11:40,760 --> 00:11:43,200 Speaker 1: five year track record of Apple is not great in 216 00:11:43,240 --> 00:11:45,960 Speaker 1: this regard. Having said that, I just want to oppose 217 00:11:46,040 --> 00:11:47,840 Speaker 1: to you that this is a company that's doing two 218 00:11:48,080 --> 00:11:51,640 Speaker 1: d and fifteen billion dollars worth of business a year. 219 00:11:52,240 --> 00:11:56,960 Speaker 1: The net income is over forty five billion dollars a year. 220 00:11:57,880 --> 00:12:01,160 Speaker 1: If they just manage that, that will be an amazing feat. 221 00:12:01,240 --> 00:12:04,520 Speaker 1: And you know, when you talk about trend setting technology, yes, 222 00:12:04,800 --> 00:12:06,959 Speaker 1: kind of and no, right, because you don't hear anything 223 00:12:06,960 --> 00:12:09,560 Speaker 1: about virtual reality really from Apple. You don't hear anything 224 00:12:09,600 --> 00:12:12,200 Speaker 1: about drones. You don't hear anything about new TV monitors. 225 00:12:12,240 --> 00:12:15,840 Speaker 1: You don't hear anything about Alexis and those home audio 226 00:12:16,040 --> 00:12:19,600 Speaker 1: assistance that are directly wired to the inventory control system. 227 00:12:19,600 --> 00:12:24,119 Speaker 1: At Amazon, they've been focused on watches, wearables, write phones, iPads, 228 00:12:24,120 --> 00:12:26,319 Speaker 1: and mass Yes. So two things. One is you're right. 229 00:12:26,360 --> 00:12:29,040 Speaker 1: I mean, if if Apple isn't a quote crisis, most 230 00:12:29,080 --> 00:12:31,760 Speaker 1: companies would love to be in the crisis condition that 231 00:12:31,800 --> 00:12:35,720 Speaker 1: Apple is in with again enormous profits and enormous sales. 232 00:12:36,080 --> 00:12:39,960 Speaker 1: But the Apple that that people know is a company 233 00:12:40,000 --> 00:12:42,960 Speaker 1: that is growing revenue and this Apple is not doing 234 00:12:42,960 --> 00:12:45,760 Speaker 1: that anymore. So that's what a crisis looks like for Apple. 235 00:12:45,800 --> 00:12:49,600 Speaker 1: But it's stagnating sales and that's a problem for Apple 236 00:12:49,679 --> 00:12:51,079 Speaker 1: real quick. Do we have a sense of how much 237 00:12:51,080 --> 00:12:53,600 Speaker 1: money and Apple is putting into this, No idea, But 238 00:12:53,640 --> 00:12:56,720 Speaker 1: they've doubled R and D spending over the last three years. 239 00:12:56,760 --> 00:12:58,679 Speaker 1: So they're cooking up a lot of things and their 240 00:12:58,720 --> 00:13:01,040 Speaker 1: research labs and hopeful one of them will be a hit. 241 00:13:01,400 --> 00:13:05,160 Speaker 1: Share overday of Bloomberg Gadfly always always a joy speaking 242 00:13:05,160 --> 00:13:07,360 Speaker 1: with you. Thank you so much for being with us. 243 00:13:20,280 --> 00:13:26,040 Speaker 1: Humans are suing Chrysler and this is not going to 244 00:13:26,240 --> 00:13:30,120 Speaker 1: do wonders for Chrysler shareholders who which have suffered some 245 00:13:30,200 --> 00:13:32,360 Speaker 1: losses as a result. I want to bring in car 246 00:13:32,440 --> 00:13:37,040 Speaker 1: Deke Marotra, a Bloomberg News reporter who wrote the story 247 00:13:37,160 --> 00:13:40,720 Speaker 1: breaking the news about the fact that dodged truck owners, 248 00:13:41,080 --> 00:13:44,520 Speaker 1: sued Chrysler on Monday, claiming that some engines were rigged 249 00:13:44,640 --> 00:13:47,559 Speaker 1: to hide emissions as much as fourteen times higher than 250 00:13:47,600 --> 00:13:50,679 Speaker 1: the law permits. Carter K, thank you so much for 251 00:13:50,760 --> 00:13:53,360 Speaker 1: joining us. Sure so, UM, can you just give us 252 00:13:53,360 --> 00:13:55,040 Speaker 1: a little bit more of a sense, a deeper sense 253 00:13:55,360 --> 00:13:58,520 Speaker 1: of the suit, of what instigated it and how deep 254 00:13:58,559 --> 00:14:01,960 Speaker 1: this could go. So the allegations are, and they are 255 00:14:02,000 --> 00:14:05,280 Speaker 1: only allegations right now, are that the Chrysler, before their 256 00:14:05,320 --> 00:14:09,760 Speaker 1: merger with Fiat UM and their technology, their engine provider 257 00:14:09,840 --> 00:14:14,719 Speaker 1: come in Sank, had created UH diesel engines to circumvent 258 00:14:14,840 --> 00:14:18,680 Speaker 1: new UM regulations by the e p A. UH. The 259 00:14:18,679 --> 00:14:22,600 Speaker 1: EPA had created more stringent laws for diesel based engines, 260 00:14:22,680 --> 00:14:25,040 Speaker 1: and they thought we could we can beat the market 261 00:14:25,080 --> 00:14:27,320 Speaker 1: to this. The deadline was two thousand ten. They were 262 00:14:27,360 --> 00:14:30,640 Speaker 1: a few years ahead and they did beat competitors. And 263 00:14:31,160 --> 00:14:34,880 Speaker 1: the allegation now is that they beat competitors by creating 264 00:14:34,880 --> 00:14:38,640 Speaker 1: an engine that leaks emissions and they knew about it. 265 00:14:38,840 --> 00:14:41,200 Speaker 1: So this is for about half a million Dodge Ram 266 00:14:41,360 --> 00:14:44,880 Speaker 1: trucks that are on US roads. And now the question 267 00:14:45,000 --> 00:14:47,640 Speaker 1: that will be up to a district court in Michigan 268 00:14:47,800 --> 00:14:50,160 Speaker 1: is is whether they did do it, whether they did 269 00:14:50,160 --> 00:14:54,320 Speaker 1: do it intentionally, and and what damages should be rewarded 270 00:14:54,320 --> 00:14:58,080 Speaker 1: to two drivers. Carter K, Is there any evidence or 271 00:14:58,200 --> 00:15:01,680 Speaker 1: any detail that you can offer about these specific engines? 272 00:15:01,800 --> 00:15:06,800 Speaker 1: Have there been issues in the past for example, Uh, 273 00:15:06,840 --> 00:15:08,880 Speaker 1: it's a bit up in the air. There have been 274 00:15:08,920 --> 00:15:12,720 Speaker 1: issues in the past with UM defeat devices as they're 275 00:15:12,720 --> 00:15:16,680 Speaker 1: known so UM. For example of Volkswagen, right, I mean 276 00:15:16,760 --> 00:15:19,560 Speaker 1: that was the Volkswagen store, And just to make mention, 277 00:15:19,920 --> 00:15:22,640 Speaker 1: Volkswagen has agreed to pay what sixteen and a half 278 00:15:22,640 --> 00:15:25,760 Speaker 1: billion dollars to resolve all the issues about that the 279 00:15:26,040 --> 00:15:29,440 Speaker 1: two leader diesel cars right right, so far, So that's 280 00:15:29,480 --> 00:15:32,400 Speaker 1: that's been the most notorious allegation. But even before that 281 00:15:32,640 --> 00:15:35,960 Speaker 1: UM in the late nineties, a number of carmakers were 282 00:15:35,960 --> 00:15:40,359 Speaker 1: hauled up by US regulators for UM installing these defeat devices. 283 00:15:40,440 --> 00:15:44,640 Speaker 1: And actually the Chrysler case precede the Volkswagen. Um. The 284 00:15:44,680 --> 00:15:47,600 Speaker 1: allegations over their cars are for model years from two 285 00:15:47,600 --> 00:15:50,640 Speaker 1: thousand seven to two thousand twelve. Well, VW has only 286 00:15:50,640 --> 00:15:54,520 Speaker 1: started in two thousand nine. Um, So there the question 287 00:15:54,680 --> 00:15:57,960 Speaker 1: is is this a broader behavior of the auto industry? 288 00:15:58,360 --> 00:16:03,160 Speaker 1: Um is their accredibility issue when it comes to clean diesel? 289 00:16:03,480 --> 00:16:05,480 Speaker 1: Um that that's sort of the questions that that these 290 00:16:05,520 --> 00:16:08,680 Speaker 1: cases and recurring issues do seem to be bringing up, 291 00:16:08,720 --> 00:16:11,320 Speaker 1: which you know we'll find out over time. Well, card exactly, 292 00:16:11,360 --> 00:16:13,320 Speaker 1: That's what I was going to ask. I mean, Chrysler 293 00:16:13,400 --> 00:16:16,680 Speaker 1: is the first US company to be sued for these 294 00:16:16,760 --> 00:16:21,920 Speaker 1: kinds of emissions rigging scandals. Are you hearing from your 295 00:16:21,960 --> 00:16:25,280 Speaker 1: sources that are there are other lawsuits pending against other 296 00:16:25,480 --> 00:16:31,800 Speaker 1: US automakers? It would not surprise me. Um, But we 297 00:16:31,840 --> 00:16:36,640 Speaker 1: haven't heard of any definitive suits in in the works yet. UM. 298 00:16:36,720 --> 00:16:39,680 Speaker 1: That said, lawyers like to keep this pretty close to 299 00:16:39,680 --> 00:16:42,960 Speaker 1: the chess until they're ready to file their suits. UM. 300 00:16:43,240 --> 00:16:46,160 Speaker 1: So not yet, but that doesn't mean that they won't come. 301 00:16:46,320 --> 00:16:51,040 Speaker 1: But they're not not coming. Ultimately, is the alleged cheating 302 00:16:51,120 --> 00:16:54,800 Speaker 1: on this emissions would this then lead what to a 303 00:16:54,880 --> 00:17:00,200 Speaker 1: discovery process to try to obtain documents or information related 304 00:17:00,240 --> 00:17:04,360 Speaker 1: to the specific engines over time? Yeah, UM, I think 305 00:17:04,440 --> 00:17:08,200 Speaker 1: what what we've already heard from Fiat Chrysler uncommons is 306 00:17:08,200 --> 00:17:10,320 Speaker 1: that they're going to fight the case. UM So unlike 307 00:17:10,320 --> 00:17:14,359 Speaker 1: Folkswagen who who owned up to it, UM the malfie, 308 00:17:14,359 --> 00:17:19,600 Speaker 1: isn't uh Fia Chrysler intent on fighting uh the allegations. 309 00:17:19,720 --> 00:17:23,119 Speaker 1: Uh So, Yes, there will go through the rigorous court process, 310 00:17:23,160 --> 00:17:27,199 Speaker 1: which will ultimately include going through discovery and and finding 311 00:17:27,240 --> 00:17:30,600 Speaker 1: out what led to the development of these engines and installation. 312 00:17:31,040 --> 00:17:33,440 Speaker 1: What did the car company know um at the time 313 00:17:33,480 --> 00:17:35,440 Speaker 1: that the cars were sold? Real quick? What kinds of 314 00:17:35,520 --> 00:17:38,440 Speaker 1: legal costs or is Fia Chrysler facing at this point? 315 00:17:39,240 --> 00:17:42,239 Speaker 1: That's a good question. Um. All the complaints says is 316 00:17:42,280 --> 00:17:46,760 Speaker 1: that UM, the damage to the car would would be 317 00:17:47,160 --> 00:17:51,000 Speaker 1: UM up to five thousand dollars, so UM components would 318 00:17:51,000 --> 00:17:54,240 Speaker 1: be damaged because you had to go through the motions 319 00:17:54,400 --> 00:17:57,320 Speaker 1: of of fixing the cars. UM. So multiply that by 320 00:17:57,400 --> 00:17:59,560 Speaker 1: by half a million, you're you're starting to climb a ladder. 321 00:17:59,760 --> 00:18:02,280 Speaker 1: It's where near sixteen and a half billion yet, but 322 00:18:02,440 --> 00:18:04,800 Speaker 1: it will cost the company quite a bit, Thank you 323 00:18:04,920 --> 00:18:09,600 Speaker 1: very much. Carter k Merotra, legal reporter for Bloomberg News. 324 00:18:10,000 --> 00:18:12,800 Speaker 1: You're listening to Bloomberg Markets. I'm pim Fox along with 325 00:18:12,880 --> 00:18:31,399 Speaker 1: Lisa Abramowitz. This is Bloomberg. It's time now for us 326 00:18:31,440 --> 00:18:33,080 Speaker 1: to take a little bit closer look into the U 327 00:18:33,119 --> 00:18:35,800 Speaker 1: s economy and lots being said about potential inflation, about 328 00:18:35,800 --> 00:18:39,919 Speaker 1: potential growth, but looking at the numbers, is it showing 329 00:18:39,960 --> 00:18:44,000 Speaker 1: the same optimism that we're hearing at large? Carl Ricka Donna, 330 00:18:44,320 --> 00:18:47,240 Speaker 1: Chief US economists for Bloomberg Intelligence, we got some retail 331 00:18:47,240 --> 00:18:50,040 Speaker 1: sales today. What clues do they give us? Well, the 332 00:18:50,080 --> 00:18:53,240 Speaker 1: retail sales report was in October report, so well, you 333 00:18:53,320 --> 00:18:56,600 Speaker 1: had a couple of unusual trends in that report that 334 00:18:56,760 --> 00:19:00,280 Speaker 1: maybe are making it look like stronger results than what 335 00:19:00,280 --> 00:19:02,679 Speaker 1: was really the case. First and foremost, that we have 336 00:19:02,720 --> 00:19:06,440 Speaker 1: an unusual pattern for gasoline prices. Normally in the second 337 00:19:06,440 --> 00:19:09,720 Speaker 1: half of the year, especially in October, you see price declines. 338 00:19:10,240 --> 00:19:14,040 Speaker 1: We saw modest price increases, so seasonal adjustment right off 339 00:19:14,040 --> 00:19:17,480 Speaker 1: the bat throws that for a loop. That being said 340 00:19:17,520 --> 00:19:19,560 Speaker 1: that when we look a little deeper into the details, 341 00:19:19,600 --> 00:19:25,040 Speaker 1: don't forget Hurricane Matthew UH made a close swipe and 342 00:19:25,080 --> 00:19:28,639 Speaker 1: then eventual landfall at a significant portion of the southeast 343 00:19:28,680 --> 00:19:31,199 Speaker 1: coast at the start of the month. And when we 344 00:19:31,280 --> 00:19:35,320 Speaker 1: have hurricanes UH impacting the US historically, you see a 345 00:19:35,359 --> 00:19:40,040 Speaker 1: big surge in grocery sales UH, demand for building supplies, 346 00:19:40,080 --> 00:19:42,960 Speaker 1: garden equipment, those types of things, UH, and then you 347 00:19:43,000 --> 00:19:46,160 Speaker 1: see a drop off in things like restaurants sales UH 348 00:19:46,200 --> 00:19:50,040 Speaker 1: and some of those discretionary categories furniture, electronics and whatnot. 349 00:19:50,400 --> 00:19:53,359 Speaker 1: And we saw exactly that profile in this report. So 350 00:19:53,440 --> 00:19:56,800 Speaker 1: it looks like a gangbusters report UH. And it looks 351 00:19:56,840 --> 00:20:00,280 Speaker 1: like the fourth quarter is starting off with a full 352 00:20:00,359 --> 00:20:03,719 Speaker 1: head of steam. UH. So to speak, however, we have 353 00:20:03,800 --> 00:20:08,480 Speaker 1: to remember that the income trend is not justifying this 354 00:20:08,600 --> 00:20:12,640 Speaker 1: dramatic acceleration. So we'll continue to see fits and starts 355 00:20:12,680 --> 00:20:15,760 Speaker 1: in the retail data until we see a more pronounced 356 00:20:15,920 --> 00:20:20,880 Speaker 1: and sustained acceleration and wage and salary income. Carl Kadona 357 00:20:20,960 --> 00:20:25,280 Speaker 1: business inventories do they matter? Uh? Inventory is not so 358 00:20:25,359 --> 00:20:28,000 Speaker 1: critical at this point. UH. You know, we saw big 359 00:20:28,080 --> 00:20:31,440 Speaker 1: liquidation that weighed on growth earlier this year. I think 360 00:20:31,680 --> 00:20:37,119 Speaker 1: as economic optimism improves, H heading into your end. And 361 00:20:37,160 --> 00:20:40,120 Speaker 1: also as businesses look ahead to next year UH and 362 00:20:40,480 --> 00:20:43,719 Speaker 1: lick their chops at the prospect of tax cuts and 363 00:20:43,920 --> 00:20:48,800 Speaker 1: potentially fiscal stimulus, that you'll see more confidence uh in 364 00:20:48,840 --> 00:20:53,800 Speaker 1: the business community, leading to a modest, modest inventory restocking 365 00:20:54,240 --> 00:20:56,800 Speaker 1: and that should support g d P grow. Well tomorrow, 366 00:20:56,800 --> 00:21:00,240 Speaker 1: I know we're gonna get producer prices correct, plus some 367 00:21:00,280 --> 00:21:04,679 Speaker 1: mortgage applications, industrial production capacity, utization. What should we be 368 00:21:04,720 --> 00:21:06,320 Speaker 1: looking for? What do you think is going to guide 369 00:21:06,359 --> 00:21:09,080 Speaker 1: us to how the economy is performed? Well, I would 370 00:21:09,119 --> 00:21:12,720 Speaker 1: keep an eye on the industrial production figures more so 371 00:21:12,800 --> 00:21:17,560 Speaker 1: than for a two tenths of a percent increase exactly. 372 00:21:17,640 --> 00:21:21,359 Speaker 1: So what again, this is just kind of middling pace 373 00:21:21,520 --> 00:21:24,480 Speaker 1: of of activity in the factory sector. However, if we 374 00:21:24,520 --> 00:21:26,879 Speaker 1: look to another report that was out this morning, uh, 375 00:21:26,920 --> 00:21:31,359 Speaker 1: the New York Empire Manufacturing Survey was what is it down? 376 00:21:31,400 --> 00:21:34,280 Speaker 1: A modest positive gain? Yes, Well, the I was going 377 00:21:34,320 --> 00:21:37,639 Speaker 1: to say the survey the estimate was November down two 378 00:21:37,680 --> 00:21:40,359 Speaker 1: point five two and a half percent, but it actually 379 00:21:40,359 --> 00:21:43,560 Speaker 1: came in at plus one and a half percent, right, 380 00:21:43,800 --> 00:21:46,400 Speaker 1: And the reason this is such an important report, this 381 00:21:46,480 --> 00:21:51,119 Speaker 1: is the first economic data series that basically covers the 382 00:21:51,160 --> 00:21:54,240 Speaker 1: post election period, So consumer sentiment out last Friday that 383 00:21:54,320 --> 00:21:57,960 Speaker 1: was basically tallied before the election results were in. Uh 384 00:21:57,960 --> 00:22:00,920 Speaker 1: and so Empire, which should be just a survey of 385 00:22:00,960 --> 00:22:04,960 Speaker 1: manufacturing conditions in New York State. Nonetheless, these production surveys 386 00:22:05,119 --> 00:22:08,840 Speaker 1: often take on a sentiment component to them when there 387 00:22:08,840 --> 00:22:12,440 Speaker 1: are significant events like hurricanes or elections or or other 388 00:22:12,480 --> 00:22:15,840 Speaker 1: types of dramatic movements in the markets and whatnot. Uh 389 00:22:15,880 --> 00:22:18,240 Speaker 1: and so, so you're reading this as a positive. This 390 00:22:18,320 --> 00:22:21,160 Speaker 1: is a positive, and this is mimicking what we're seeing 391 00:22:21,200 --> 00:22:24,720 Speaker 1: in both the stock and treasury markets, which is looking 392 00:22:24,800 --> 00:22:27,520 Speaker 1: for more growth and as a result of more growth, 393 00:22:27,600 --> 00:22:32,440 Speaker 1: more inflation. Uh in, uh in and beyond. Carl. Yeah, 394 00:22:32,560 --> 00:22:34,520 Speaker 1: you know, Honestly, if I were, if I were Tom 395 00:22:34,600 --> 00:22:37,119 Speaker 1: Keena would say, let's rip up the script. Um. But 396 00:22:37,280 --> 00:22:39,880 Speaker 1: I'm I'm looking. I'm wondering, you know, how do you 397 00:22:40,280 --> 00:22:43,720 Speaker 1: give any sense uh to your to your economic models 398 00:22:43,760 --> 00:22:46,840 Speaker 1: when you have this big unknown of Donald Trump's infrastructure 399 00:22:47,040 --> 00:22:49,399 Speaker 1: spending plans and then you have all of the noise 400 00:22:49,520 --> 00:22:51,960 Speaker 1: around whether or not they will be effective. Tyler Cowen 401 00:22:52,400 --> 00:22:55,680 Speaker 1: He's a professor at George Mason University of Economics. He 402 00:22:55,720 --> 00:22:58,960 Speaker 1: wrote a column from bloom Review talking about how Trump's 403 00:22:58,960 --> 00:23:02,040 Speaker 1: infrastructure plan is fundamentally flawed because it comes at a 404 00:23:02,119 --> 00:23:06,199 Speaker 1: time when the economy is expanding and when employment unemployment 405 00:23:06,280 --> 00:23:09,359 Speaker 1: rates are low, and this is typically not when these 406 00:23:09,400 --> 00:23:12,080 Speaker 1: plans are most effective. How do you model for this right, 407 00:23:12,119 --> 00:23:13,919 Speaker 1: So that the big debate is if this is a 408 00:23:14,080 --> 00:23:18,040 Speaker 1: kingsy and economics plan. So anytime you're borrowing h from 409 00:23:18,080 --> 00:23:22,800 Speaker 1: the federal government's perspective to finance spending programs, whether it's 410 00:23:22,960 --> 00:23:27,440 Speaker 1: infrastructure projects or tax cuts or whatnot, that's basically fiscal stimulus. 411 00:23:27,520 --> 00:23:30,679 Speaker 1: And so we certainly could have used it earlier on 412 00:23:30,800 --> 00:23:33,399 Speaker 1: in this economic cycle, because that's when we needed that 413 00:23:33,440 --> 00:23:37,000 Speaker 1: critical lift to growth. So it's a little bit late. Uh. Nonetheless, 414 00:23:37,080 --> 00:23:38,919 Speaker 1: it is still going to move the needle on GDP 415 00:23:39,080 --> 00:23:43,280 Speaker 1: growth if we are significantly expanding the budget deficit uh 416 00:23:43,320 --> 00:23:48,160 Speaker 1: and using that for various projects that will lift GDP. 417 00:23:48,400 --> 00:23:51,960 Speaker 1: So would the economy have been fine without this, Yes, 418 00:23:52,040 --> 00:23:54,439 Speaker 1: it would continue to limp on probably two two and 419 00:23:54,440 --> 00:23:58,440 Speaker 1: a half maybe three GDP growth. With this, it will 420 00:23:58,480 --> 00:24:01,199 Speaker 1: mean that the economy grows fast stir and therefore that 421 00:24:01,280 --> 00:24:04,600 Speaker 1: the Fed can normalize policy a bit more aggressively as well. 422 00:24:04,680 --> 00:24:06,359 Speaker 1: And so you don't think that the increase in debt 423 00:24:06,400 --> 00:24:08,760 Speaker 1: that we're probably going to incur will drag on growth, 424 00:24:09,119 --> 00:24:11,840 Speaker 1: UH in equal proportions. Well, there will be a hangover 425 00:24:11,880 --> 00:24:14,760 Speaker 1: eventually when the bills come due. But for the you know, 426 00:24:14,840 --> 00:24:17,879 Speaker 1: for the near term, interest rates are low, and the 427 00:24:17,960 --> 00:24:21,760 Speaker 1: financial markets are basically giving a free pass UH to 428 00:24:22,240 --> 00:24:25,960 Speaker 1: Congress and the President to embark on fiscal stimulus. Carl, 429 00:24:26,320 --> 00:24:29,480 Speaker 1: if the if interest rates can we we've got a 430 00:24:29,520 --> 00:24:32,040 Speaker 1: little bit of a snap back today in the bond market. 431 00:24:32,080 --> 00:24:33,520 Speaker 1: I mean, you take a look at the thirty year 432 00:24:33,560 --> 00:24:37,639 Speaker 1: for example, we're under three percent right now, We're I guess, 433 00:24:37,880 --> 00:24:40,000 Speaker 1: take a look up more than a full point up 434 00:24:40,119 --> 00:24:42,480 Speaker 1: one and eight thirty seconds right on the on the 435 00:24:42,520 --> 00:24:46,080 Speaker 1: thirty years. So people buying there. But if yields continue 436 00:24:46,119 --> 00:24:48,919 Speaker 1: to for to continue to increase, right, people say that 437 00:24:48,960 --> 00:24:51,199 Speaker 1: I don't want to own these bonds. Will they have 438 00:24:51,320 --> 00:24:54,720 Speaker 1: done the work of the Federal Reserve for Janet Yellen? 439 00:24:54,800 --> 00:24:57,879 Speaker 1: Will will that still mean twenty five basis point increase? 440 00:24:58,040 --> 00:25:00,720 Speaker 1: It depends what the other markets are doing. And so 441 00:25:00,800 --> 00:25:05,640 Speaker 1: if other markets being Europe, Asia, stock markets and other 442 00:25:05,680 --> 00:25:09,080 Speaker 1: aspects of the financial markets, so taken by itself. The 443 00:25:09,119 --> 00:25:12,800 Speaker 1: backup and treasury yields and mortgage rates should be a 444 00:25:12,920 --> 00:25:15,440 Speaker 1: tightening of financial conditions. But if you look on the 445 00:25:15,440 --> 00:25:19,400 Speaker 1: Bloomberg terminal at f con financial conditions, UH, it actually 446 00:25:19,520 --> 00:25:23,000 Speaker 1: tells you that financial conditions have eased since the election. 447 00:25:23,080 --> 00:25:25,639 Speaker 1: So people are just focusing on interest rates. You have 448 00:25:25,680 --> 00:25:28,320 Speaker 1: to keep in mind what's happening to credit spreads, what's 449 00:25:28,320 --> 00:25:31,200 Speaker 1: happening to the equity markets, etcetera. Uh, And so we're 450 00:25:31,240 --> 00:25:34,000 Speaker 1: not seeing a tightening of financial conditions that would tell 451 00:25:34,040 --> 00:25:36,399 Speaker 1: the Fed, oh, the markets are doing the work for us, 452 00:25:36,480 --> 00:25:39,280 Speaker 1: we can take a pass in December. It's a very 453 00:25:39,400 --> 00:25:42,840 Speaker 1: very important signal for the Fed to validate the health 454 00:25:42,880 --> 00:25:45,840 Speaker 1: of the economy by saying, yes, despite everything that's gone on, 455 00:25:46,400 --> 00:25:49,679 Speaker 1: we still deem it appropriate to take that next step 456 00:25:49,840 --> 00:25:52,040 Speaker 1: at the December meeting. And we should hear as much 457 00:25:52,160 --> 00:25:54,680 Speaker 1: from Janet Yellen when she testifies to the j EC 458 00:25:54,840 --> 00:25:58,159 Speaker 1: on Thursday. She's gonna be uh probably asked a lot 459 00:25:58,240 --> 00:26:00,520 Speaker 1: of questions having to do with that December rate hike 460 00:26:00,680 --> 00:26:03,440 Speaker 1: and whether she maybe we'll want to stay on as 461 00:26:03,480 --> 00:26:06,960 Speaker 1: a FED chair after her term expires in that's certainly 462 00:26:07,000 --> 00:26:09,960 Speaker 1: become a political issue if the FED wants to be 463 00:26:10,000 --> 00:26:13,040 Speaker 1: politically independent. Nothing would be more so than her to 464 00:26:13,080 --> 00:26:16,240 Speaker 1: say she'll stick on regardless. Thank you very much, Carl 465 00:26:16,320 --> 00:26:20,200 Speaker 1: rick O Donna is our chief US economist for Bloomberg Intelligence. 466 00:26:25,800 --> 00:26:28,720 Speaker 1: Thanks for listening to the Bloomberg pian L podcast. You 467 00:26:28,760 --> 00:26:32,880 Speaker 1: can subscribe and listen to interviews at iTunes, SoundCloud, or 468 00:26:32,920 --> 00:26:37,000 Speaker 1: whatever podcast platform you prefer. I'm pim Fox. I'm out 469 00:26:37,000 --> 00:26:39,879 Speaker 1: there on Twitter at pim Fox. I'm out there on 470 00:26:39,880 --> 00:26:43,159 Speaker 1: Twitter at Lisa Abramo. It's one before the podcast. You 471 00:26:43,160 --> 00:26:45,800 Speaker 1: can always catch us worldwide on Bloomberg Radio