1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm Pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg p m L 6 00:00:20,840 --> 00:00:32,080 Speaker 1: Podcast on Apple Podcasts, SoundCloud and Bloomberg dot com. I 7 00:00:32,120 --> 00:00:34,559 Speaker 1: want to turn out to David Garretty, the chief executive 8 00:00:34,560 --> 00:00:37,360 Speaker 1: of g v A Research, to tell us about the 9 00:00:37,400 --> 00:00:41,080 Speaker 1: world domination plans of Amazon. David, always a pleasure to 10 00:00:41,120 --> 00:00:43,519 Speaker 1: have you. Thanks for being here. Um, I was just 11 00:00:43,520 --> 00:00:45,840 Speaker 1: looking at the market cap of Amazon at nearly four 12 00:00:45,880 --> 00:00:49,120 Speaker 1: hundred and eighty billion dollars, right, So four and eighty 13 00:00:49,120 --> 00:00:51,840 Speaker 1: billion is the market cap for a company that did 14 00:00:51,840 --> 00:00:54,440 Speaker 1: sales of about a hundred and forty billion, So we're 15 00:00:54,440 --> 00:00:57,960 Speaker 1: talking about a four to one there net income two 16 00:00:58,000 --> 00:01:00,680 Speaker 1: and a half billion. How does that work on an 17 00:01:00,680 --> 00:01:03,520 Speaker 1: annual basis? You got a four d and eighty billion 18 00:01:03,560 --> 00:01:06,560 Speaker 1: dollar valuation and yet your net is two and a 19 00:01:06,560 --> 00:01:10,000 Speaker 1: half billion and people just love you well. Pim, thanks 20 00:01:10,000 --> 00:01:12,360 Speaker 1: for the setup on world domination. But the issue it 21 00:01:12,440 --> 00:01:16,039 Speaker 1: is it goes into the competitive dynamics that Amazon under 22 00:01:16,040 --> 00:01:19,520 Speaker 1: founder and CEO Jeff Bezos, have followed since pretty much 23 00:01:19,520 --> 00:01:21,880 Speaker 1: the beginning, which is the company is always focused on 24 00:01:22,000 --> 00:01:24,760 Speaker 1: pricing as being the wedge that it is used to 25 00:01:24,800 --> 00:01:27,440 Speaker 1: gain market share, and the company has always referred to 26 00:01:27,480 --> 00:01:29,880 Speaker 1: the fact that they arguably have this flywheel which at 27 00:01:29,920 --> 00:01:32,679 Speaker 1: some point in time, when things slow down and margins 28 00:01:32,720 --> 00:01:35,600 Speaker 1: start to improve, should lead to meaningful expansion on the 29 00:01:35,640 --> 00:01:39,240 Speaker 1: bottom line. So the profit margin that you highlight is 30 00:01:39,360 --> 00:01:44,160 Speaker 1: raizor thin arguably has the potential to expand, and certainly, 31 00:01:44,200 --> 00:01:46,360 Speaker 1: you know, here we are a week I'll expand. Even 32 00:01:46,360 --> 00:01:49,160 Speaker 1: though some people have said that Amazon, you know, first 33 00:01:49,200 --> 00:01:50,960 Speaker 1: built this business on the fact that they did not 34 00:01:51,040 --> 00:01:54,880 Speaker 1: pay sales tax in the states to which they ship books, 35 00:01:55,000 --> 00:01:58,000 Speaker 1: very true, and in some respects, you know, this continues 36 00:01:58,040 --> 00:02:00,920 Speaker 1: to the present day. So yes, there's acts avoidance, and 37 00:02:01,040 --> 00:02:04,480 Speaker 1: arguably the pricing on that can be worked into what 38 00:02:04,840 --> 00:02:07,640 Speaker 1: price it is that the consumers have to pay. But 39 00:02:08,000 --> 00:02:11,160 Speaker 1: one might argue that as we've seen this business model 40 00:02:11,280 --> 00:02:16,200 Speaker 1: develop and evolve, and following the acquisition announcement a week 41 00:02:16,240 --> 00:02:19,639 Speaker 1: ago of the thirteen point four billion dollars being spent 42 00:02:19,680 --> 00:02:23,840 Speaker 1: to acquire whole Foods. I would really say Amazon's growth 43 00:02:23,880 --> 00:02:30,120 Speaker 1: prospects boiled down to two words right now, Alexa listens. 44 00:02:31,280 --> 00:02:34,520 Speaker 1: And if we look at the Amazon Echo being implanted 45 00:02:34,639 --> 00:02:39,600 Speaker 1: in the homes of a wider range of higher income households. 46 00:02:40,440 --> 00:02:44,560 Speaker 1: While people may think, gosh, the echo was wonderful, you know, 47 00:02:44,680 --> 00:02:47,440 Speaker 1: I give a request, I get an answer. Well, it's 48 00:02:47,480 --> 00:02:50,440 Speaker 1: not just a matter of depending upon interaction, it's the 49 00:02:50,480 --> 00:02:54,200 Speaker 1: matter of listening and gathering further data. And so how 50 00:02:54,240 --> 00:02:58,239 Speaker 1: can Amazon monetize that? Amazon argument is going to monetize 51 00:02:58,280 --> 00:03:01,679 Speaker 1: that if we looked at Whole Foods. Whereas Whole Foods located, 52 00:03:01,680 --> 00:03:04,800 Speaker 1: Whole Foods is located in situations where it caters to 53 00:03:05,360 --> 00:03:08,360 Speaker 1: high income households, so it has to be in fairly 54 00:03:08,400 --> 00:03:11,680 Speaker 1: close proximity to where these households are located. So not 55 00:03:11,800 --> 00:03:14,880 Speaker 1: only has Amazon now just gotten a wider number of 56 00:03:14,919 --> 00:03:18,120 Speaker 1: distribution points that are closer to their customers, they arguably 57 00:03:18,160 --> 00:03:21,280 Speaker 1: at the same time have gathered a source of data 58 00:03:21,400 --> 00:03:24,080 Speaker 1: which gives them greater depth in terms of understanding the 59 00:03:24,200 --> 00:03:27,760 Speaker 1: range of products that consumers are buying. Complement that with 60 00:03:27,840 --> 00:03:29,560 Speaker 1: the fact that you know, if we go back over 61 00:03:29,639 --> 00:03:32,240 Speaker 1: last six or twelve months, Amazon had been rolling out 62 00:03:32,240 --> 00:03:35,360 Speaker 1: the Echo and we've had people have responded to this 63 00:03:35,440 --> 00:03:39,560 Speaker 1: product favorably. But there are implications longer term where this 64 00:03:39,760 --> 00:03:43,480 Speaker 1: integration on the part of Amazon is getting far closer 65 00:03:43,480 --> 00:03:46,520 Speaker 1: to consumers such that it's now within the consumers home 66 00:03:47,080 --> 00:03:51,280 Speaker 1: passively gathering data. So I'm trying to understand, going back 67 00:03:51,320 --> 00:03:55,040 Speaker 1: to something that you said earlier, Amazon has proven really 68 00:03:55,040 --> 00:04:00,279 Speaker 1: good at disintermediating some of the big behemoth retailers and 69 00:04:00,480 --> 00:04:04,680 Speaker 1: having more efficient systems also by squeezing out prices by 70 00:04:04,760 --> 00:04:07,120 Speaker 1: by getting prices as low as possible. At what point 71 00:04:07,200 --> 00:04:11,120 Speaker 1: will they be able to meaningfully increase prices to improve 72 00:04:11,160 --> 00:04:13,400 Speaker 1: their margins. Well, you're starting to see some of that 73 00:04:13,480 --> 00:04:17,400 Speaker 1: happen already. Um. You know, Amazon over time has started 74 00:04:17,440 --> 00:04:20,760 Speaker 1: to introduce more of their own brand products and have 75 00:04:20,839 --> 00:04:24,080 Speaker 1: been providing those two consumers and consumers have appreciated Amazon 76 00:04:24,200 --> 00:04:27,200 Speaker 1: very much because Amazon was convenient. You could shop on 77 00:04:27,240 --> 00:04:31,200 Speaker 1: Amazon anytime you want, wherever you want it, and Amazon 78 00:04:31,240 --> 00:04:34,000 Speaker 1: would deliver. But in the process of the trade off 79 00:04:34,040 --> 00:04:38,159 Speaker 1: of this convenience, consumers aren't necessarily being perhaps as mindful, 80 00:04:38,320 --> 00:04:40,240 Speaker 1: and it may not matter so much at the higher 81 00:04:40,360 --> 00:04:43,760 Speaker 1: end income end of the distribution. Curve. Consumers are making 82 00:04:43,800 --> 00:04:45,559 Speaker 1: a trade off. They're not necessarily looking at the price 83 00:04:45,600 --> 00:04:47,479 Speaker 1: that they're paying. They're not looking at the value because 84 00:04:47,480 --> 00:04:50,239 Speaker 1: they're putting greater value in the convenience that Amazon can deliver. 85 00:04:50,440 --> 00:04:53,039 Speaker 1: And there is documentation out there that says Amazon, with 86 00:04:53,080 --> 00:04:55,960 Speaker 1: respect of their own brand products, changes the prices on 87 00:04:56,000 --> 00:04:59,160 Speaker 1: a fairly rapid basis, and more often than not, you 88 00:04:59,200 --> 00:05:02,640 Speaker 1: actually end up paying more for the Amazon owned brand 89 00:05:02,720 --> 00:05:06,080 Speaker 1: product then you do for a branded name product being 90 00:05:06,080 --> 00:05:10,480 Speaker 1: provided by another vendor through the Amazon site. That's kind 91 00:05:10,480 --> 00:05:14,000 Speaker 1: of an amazing situation, isn't it. This is yield management, 92 00:05:14,000 --> 00:05:15,800 Speaker 1: which people have been accustomed to thinking of in the 93 00:05:15,839 --> 00:05:17,839 Speaker 1: context of the airline industry, where you look at the 94 00:05:17,880 --> 00:05:21,880 Speaker 1: manipulation around per seat pricing. This is yield management going 95 00:05:22,000 --> 00:05:27,920 Speaker 1: online and then with Alexa coming into your home. Talking 96 00:05:27,920 --> 00:05:31,240 Speaker 1: about Alexa, maybe you can expand on this because if 97 00:05:31,279 --> 00:05:36,600 Speaker 1: you go to the Alexa site, it is targeted towards businesses, 98 00:05:37,120 --> 00:05:41,159 Speaker 1: not to individuals necessarily, and it's designed to give businesses 99 00:05:41,240 --> 00:05:45,320 Speaker 1: what they call competitive analysis tools. And one if you 100 00:05:45,360 --> 00:05:48,839 Speaker 1: could speak about that in the context of what Alexa 101 00:05:48,960 --> 00:05:53,520 Speaker 1: is doing, because boy, if you're offering web website traffic 102 00:05:53,560 --> 00:05:58,400 Speaker 1: statistics plus an audience overlap. That's kind of a sophisticated 103 00:05:58,440 --> 00:06:01,800 Speaker 1: piece of information for companies that don't have to host 104 00:06:01,920 --> 00:06:04,599 Speaker 1: the technology. Well, it's really a byproduct of what it 105 00:06:04,680 --> 00:06:08,640 Speaker 1: is that Amazon is doing, and and Amazon, in the 106 00:06:08,680 --> 00:06:11,320 Speaker 1: process of doing that, is obviously trying to monetize what 107 00:06:11,440 --> 00:06:14,760 Speaker 1: it's already gathering for itself. Some people have been making 108 00:06:14,800 --> 00:06:18,440 Speaker 1: a case, you know, in fairly significant publications, um that 109 00:06:18,520 --> 00:06:22,080 Speaker 1: Amazon is now acquiring the role that railroads used to 110 00:06:22,120 --> 00:06:26,120 Speaker 1: play back in the late nineteenth century, when railroads essentially 111 00:06:26,120 --> 00:06:29,240 Speaker 1: determined what traffic crossed the rails and what was the 112 00:06:29,279 --> 00:06:32,680 Speaker 1: price at which this traffic crossed its rails. So one 113 00:06:32,760 --> 00:06:36,360 Speaker 1: might argue that it is Historically we looked at Amazon 114 00:06:36,400 --> 00:06:41,440 Speaker 1: as being a disruptor. You know, Amazon now as the intermediary, 115 00:06:41,640 --> 00:06:46,760 Speaker 1: is gaining substantial economic power, and the question here might 116 00:06:46,839 --> 00:06:49,279 Speaker 1: have to be argued as we look at the Whole 117 00:06:49,320 --> 00:06:54,880 Speaker 1: Foods acquisition, you know, will the regulators decide to intervene 118 00:06:55,040 --> 00:06:58,359 Speaker 1: because of this greater influence that Amazon has. And the 119 00:06:58,400 --> 00:07:01,239 Speaker 1: other question is will read later start to be concerned 120 00:07:01,240 --> 00:07:04,080 Speaker 1: about some of the privacy issues that may be raised 121 00:07:04,120 --> 00:07:07,160 Speaker 1: around the prospect of having Alexa, sitting in the home, 122 00:07:07,320 --> 00:07:10,160 Speaker 1: listening to what people are saying and then anticipating what 123 00:07:10,240 --> 00:07:13,920 Speaker 1: people want before they actually themselves consciously know that are 124 00:07:14,000 --> 00:07:17,280 Speaker 1: consumers willing to give that much away of themselves to 125 00:07:17,400 --> 00:07:21,600 Speaker 1: get this convenience that Amazon has historically provided. This is fascinating, 126 00:07:21,640 --> 00:07:24,720 Speaker 1: you know, I hadn't realized that Amazon branded products were 127 00:07:24,720 --> 00:07:27,640 Speaker 1: actually charging more than what you could get for other 128 00:07:27,960 --> 00:07:32,240 Speaker 1: brands that are sold through Amazon's network. Fascinating, fascinating talk. 129 00:07:32,400 --> 00:07:35,400 Speaker 1: David Garretty, chief executive officer of g v A Research. 130 00:07:35,440 --> 00:07:38,640 Speaker 1: Also he's a columnist at Investor PDA, and he joins 131 00:07:38,720 --> 00:07:41,440 Speaker 1: us here in our Bloomberg eleven three oh studios. Looking 132 00:07:41,520 --> 00:07:56,000 Speaker 1: very summary. Always wonderful to see you, David. Well, there 133 00:07:56,040 --> 00:07:58,800 Speaker 1: was a leg Mason survey that came out earlier today 134 00:07:58,800 --> 00:08:02,000 Speaker 1: that showed that in come investors are seeking an overall 135 00:08:02,360 --> 00:08:06,679 Speaker 1: rate of return of about eight point six four per cent, 136 00:08:06,800 --> 00:08:10,280 Speaker 1: which seems difficult to get at a time when junk 137 00:08:10,280 --> 00:08:13,400 Speaker 1: bond yields are a little over five percent. Here to 138 00:08:13,400 --> 00:08:15,160 Speaker 1: put some perspective on that, I want to bring in 139 00:08:15,160 --> 00:08:18,960 Speaker 1: Alan McKnight, chief investment officer in the wealth management division 140 00:08:19,040 --> 00:08:22,520 Speaker 1: of Regent's Bank, which oversees about eighty one billion dollars. 141 00:08:22,560 --> 00:08:24,960 Speaker 1: Alan joins us here in our Bloomberg eleven three oh studios. 142 00:08:24,960 --> 00:08:27,560 Speaker 1: Thank you so much for joining us. Uh have you 143 00:08:27,600 --> 00:08:31,320 Speaker 1: found when you're talking with fund managers and clients that 144 00:08:32,000 --> 00:08:35,280 Speaker 1: people have unrealistic expectations of what kinds of returns they 145 00:08:35,320 --> 00:08:37,559 Speaker 1: could possibly get? We think so when we think the 146 00:08:37,559 --> 00:08:39,160 Speaker 1: biggest issue is that people want to look on a 147 00:08:39,200 --> 00:08:41,840 Speaker 1: historical basis as to what they should expect in the future. 148 00:08:42,200 --> 00:08:43,920 Speaker 1: And if you look at the long term returns and 149 00:08:44,000 --> 00:08:47,240 Speaker 1: use a very simplified ten percent for stocks, five percent 150 00:08:47,280 --> 00:08:50,800 Speaker 1: for bonds, you get to this magic equilibrium of eight percent. Well, 151 00:08:50,800 --> 00:08:53,800 Speaker 1: the reality is if we believe that expect returns and 152 00:08:53,800 --> 00:08:56,160 Speaker 1: stocks will be closer to seven and bonds will be 153 00:08:56,160 --> 00:08:58,880 Speaker 1: closer to two, suddenly you're looking at closer to five 154 00:08:58,960 --> 00:09:01,760 Speaker 1: five and a half percent versus this magic eight. Well, 155 00:09:01,800 --> 00:09:04,760 Speaker 1: on a second to you're talking about a blended UH 156 00:09:05,120 --> 00:09:08,160 Speaker 1: group of fixed income that includes corporate and government dead 157 00:09:08,240 --> 00:09:10,800 Speaker 1: Is that right exactly? And we just think, given where 158 00:09:10,800 --> 00:09:12,960 Speaker 1: we are on the curve and what we've already seen 159 00:09:13,040 --> 00:09:15,960 Speaker 1: with the benefits to high yield investment grade corporate bonds, 160 00:09:16,000 --> 00:09:18,880 Speaker 1: that it seems less likely to us that will generate 161 00:09:18,920 --> 00:09:20,880 Speaker 1: the types of returns and fixed income as we have. 162 00:09:21,040 --> 00:09:23,920 Speaker 1: So a total return kind of bond return of about 163 00:09:23,960 --> 00:09:26,280 Speaker 1: two percent by year end, that means that we see 164 00:09:26,280 --> 00:09:30,160 Speaker 1: some losses before your end. That probably includes some increases 165 00:09:30,160 --> 00:09:32,920 Speaker 1: in bunchmark yields. Correct, that's that's correct. So where do 166 00:09:32,960 --> 00:09:35,400 Speaker 1: you see it going the benchmark tenure for example, Yeah, 167 00:09:35,400 --> 00:09:37,120 Speaker 1: so we think the tenure will continue to go higher. 168 00:09:37,400 --> 00:09:39,120 Speaker 1: But what we've seen so far is what we think 169 00:09:39,160 --> 00:09:41,040 Speaker 1: is indicative of the future, which is one of we're 170 00:09:41,040 --> 00:09:42,760 Speaker 1: seeing the back end of the curve come down, We're 171 00:09:42,760 --> 00:09:44,320 Speaker 1: seeing the short end of the curve go up. We've 172 00:09:44,360 --> 00:09:47,000 Speaker 1: seen this flattening effect until such time that we see 173 00:09:47,080 --> 00:09:51,199 Speaker 1: some implemental ideas from Washington and some real change associated. 174 00:09:51,440 --> 00:09:53,800 Speaker 1: It's hard for us to envision a scenario where the 175 00:09:53,960 --> 00:09:56,600 Speaker 1: entire curve shifts up dramatically in the ten makes any 176 00:09:56,640 --> 00:09:59,520 Speaker 1: greater move than say to two six or two seven 177 00:09:59,559 --> 00:10:02,960 Speaker 1: by year end. At what point do asset prices, whether 178 00:10:03,000 --> 00:10:05,480 Speaker 1: they be bonds or equities, get to the point where 179 00:10:05,520 --> 00:10:10,040 Speaker 1: you say, let's keep something in cash, let's deploy capital 180 00:10:10,440 --> 00:10:15,400 Speaker 1: in a neutral position, because we feel that well, we've 181 00:10:15,400 --> 00:10:18,520 Speaker 1: made enough money. Looking at the SMP five, it's up 182 00:10:18,600 --> 00:10:21,560 Speaker 1: nine percent this year. So our thought on that is 183 00:10:21,600 --> 00:10:23,840 Speaker 1: that you have to continue to rebalance the portfolio and 184 00:10:23,880 --> 00:10:26,840 Speaker 1: rebalance to the underperforming asset classes and rather than going 185 00:10:26,880 --> 00:10:29,079 Speaker 1: solely to cash, we think that there are better uses 186 00:10:29,080 --> 00:10:32,080 Speaker 1: of funds. And certainly if you look over the long term, 187 00:10:32,160 --> 00:10:35,120 Speaker 1: there should be a correction of about ten percent every 188 00:10:35,200 --> 00:10:38,320 Speaker 1: year if you go back to nineteen hundred and approximately 189 00:10:39,240 --> 00:10:42,280 Speaker 1: every three years, just looking at the statistical data. So 190 00:10:42,520 --> 00:10:44,760 Speaker 1: our perspective is, if you can be a long term investor, 191 00:10:45,120 --> 00:10:47,600 Speaker 1: you shouldn't try to get in and out just as 192 00:10:47,640 --> 00:10:50,760 Speaker 1: that's about to occur. Instead ride through it and rebalance 193 00:10:51,160 --> 00:10:54,520 Speaker 1: to find those underperforming asset classes and opportunities such as 194 00:10:54,559 --> 00:10:57,760 Speaker 1: what we've seen last year in international developed markets as 195 00:10:57,800 --> 00:11:00,959 Speaker 1: well as emerging markets, rather than going to reallocate that 196 00:11:01,000 --> 00:11:03,480 Speaker 1: capital out to some some cheaper assets, if you will. 197 00:11:03,559 --> 00:11:05,640 Speaker 1: So when you talk to clients and you say, you know, 198 00:11:05,760 --> 00:11:08,280 Speaker 1: you guys may be expecting eight point six percent hold 199 00:11:08,320 --> 00:11:10,920 Speaker 1: or returns for this year, that's not gonna happen. You're 200 00:11:10,920 --> 00:11:12,680 Speaker 1: gonna get five and a half percent. Do they just 201 00:11:12,720 --> 00:11:16,560 Speaker 1: say okay, or do they say can you make that happen. Please. 202 00:11:17,559 --> 00:11:19,520 Speaker 1: It's a great question and it's a real challenge because 203 00:11:19,520 --> 00:11:21,760 Speaker 1: I think most investors would say that's what I need. 204 00:11:22,160 --> 00:11:25,800 Speaker 1: So when you think about what's what's required versus what's possible, 205 00:11:26,120 --> 00:11:28,160 Speaker 1: we would say what's possible as closer to the seven 206 00:11:28,200 --> 00:11:32,240 Speaker 1: percent range, but what's required is much higher. But with 207 00:11:32,520 --> 00:11:35,160 Speaker 1: what's possible is not possible without taking a lot of 208 00:11:35,280 --> 00:11:37,760 Speaker 1: risk and being lucky, right, I mean, how is it 209 00:11:37,840 --> 00:11:41,520 Speaker 1: possible to get seven percent risk without potentially losing your shirt? Well, 210 00:11:41,559 --> 00:11:44,400 Speaker 1: that's that's exactly I mean the differences around long term 211 00:11:44,480 --> 00:11:46,400 Speaker 1: versus short term and the very short term. We don't 212 00:11:46,400 --> 00:11:49,080 Speaker 1: believe that you're going to get seven percent let's say 213 00:11:49,120 --> 00:11:50,520 Speaker 1: through the end of the year. What we believe is 214 00:11:50,520 --> 00:11:52,520 Speaker 1: of the next five to ten years you should be 215 00:11:52,559 --> 00:11:54,800 Speaker 1: able to deliver that. And more importantly, if you talk 216 00:11:54,840 --> 00:11:57,160 Speaker 1: to clients, it should be about what is your timeline, 217 00:11:57,440 --> 00:11:59,360 Speaker 1: what are your liquidity needs, and how much risk are 218 00:11:59,400 --> 00:12:01,400 Speaker 1: you willing to take to to go down that path? 219 00:12:01,720 --> 00:12:04,480 Speaker 1: And that's where we see the greatest disconnect for clients 220 00:12:04,520 --> 00:12:07,360 Speaker 1: who want something, they want to be able to do 221 00:12:07,400 --> 00:12:09,000 Speaker 1: certain things. But then when you start to back into 222 00:12:09,000 --> 00:12:11,760 Speaker 1: the data around it, in the numbers. It's this aha 223 00:12:11,840 --> 00:12:14,640 Speaker 1: moment of well, I neither save more, I need to 224 00:12:14,679 --> 00:12:17,000 Speaker 1: allocate more capital of this, or if I'm reaching for 225 00:12:17,320 --> 00:12:19,640 Speaker 1: risk or yield, then I should assume I'm gonna have 226 00:12:19,720 --> 00:12:23,160 Speaker 1: more volatility. And that's a difficult concept for many folks 227 00:12:23,200 --> 00:12:26,120 Speaker 1: to think that they just want the return without all 228 00:12:26,120 --> 00:12:30,439 Speaker 1: the risk. What are you hearing from your your base 229 00:12:30,559 --> 00:12:35,319 Speaker 1: of of salespeople and and managers. What of those, let's say, 230 00:12:35,360 --> 00:12:38,400 Speaker 1: reactions that you hear from investors, what's the most common one. 231 00:12:38,440 --> 00:12:42,600 Speaker 1: Do they readjust their risk profile? Do they kid themselves 232 00:12:42,679 --> 00:12:45,240 Speaker 1: into thinking, no, I'll worry about it later. Do they 233 00:12:45,360 --> 00:12:48,559 Speaker 1: add more to savings? What's normally what they do? Well, 234 00:12:48,559 --> 00:12:51,760 Speaker 1: we've seen as far is that most want to wait. Unfortunately, 235 00:12:51,840 --> 00:12:54,480 Speaker 1: most folks don't really want to have that difficult conversation 236 00:12:54,520 --> 00:12:56,560 Speaker 1: and in some case, if it's in an institutional investor, 237 00:12:56,760 --> 00:12:58,440 Speaker 1: they don't have the luxury of that because it's set 238 00:12:58,520 --> 00:13:00,880 Speaker 1: for them rather than them being able to actually discern 239 00:13:01,160 --> 00:13:05,600 Speaker 1: what that true target rate might be. So denial, you're saying, exactly, okay, so, 240 00:13:05,920 --> 00:13:08,559 Speaker 1: but it's always a good strategy, right to just deny 241 00:13:08,640 --> 00:13:10,800 Speaker 1: that the issue exists, Right, it's good, good, I try 242 00:13:10,800 --> 00:13:12,560 Speaker 1: to do that on a regular basis. But I'm just 243 00:13:12,600 --> 00:13:14,120 Speaker 1: trying to think though, you know, to get to that 244 00:13:14,160 --> 00:13:17,559 Speaker 1: seven percent, what would the allocation have to be? Uh, 245 00:13:17,600 --> 00:13:20,720 Speaker 1: you know, given some degree of volatility, perhaps more than 246 00:13:20,760 --> 00:13:22,680 Speaker 1: some people are willing to stomach. What are people what 247 00:13:22,720 --> 00:13:25,640 Speaker 1: are you recommending people allocate to an aggressive strategy for 248 00:13:25,679 --> 00:13:30,120 Speaker 1: a longer term horizon with uh, some ability to have 249 00:13:30,160 --> 00:13:32,920 Speaker 1: a liquid investments right, So we're allocating more to equities 250 00:13:32,920 --> 00:13:35,840 Speaker 1: and more broadly to emerging markets, international developed where we 251 00:13:35,840 --> 00:13:39,440 Speaker 1: think there's opportunity right now, we also allocate to small 252 00:13:39,480 --> 00:13:41,720 Speaker 1: and MidCap stocks because we think there's a higher return 253 00:13:42,000 --> 00:13:44,439 Speaker 1: premium there. I'll be it. There's a little bit more volatility, 254 00:13:44,480 --> 00:13:47,120 Speaker 1: and it's decreasing our exposure to fixed income. Now, the 255 00:13:47,120 --> 00:13:49,800 Speaker 1: tradeoff of that is there's going to be more volatility 256 00:13:49,800 --> 00:13:52,480 Speaker 1: in the portfolio. But we don't view volatility solely in 257 00:13:52,520 --> 00:13:55,160 Speaker 1: a standard deviation. Okay, this is what the statistic means. 258 00:13:55,200 --> 00:13:57,080 Speaker 1: It's how much can you stop it? From an absolute 259 00:13:57,120 --> 00:13:59,760 Speaker 1: value perspective and what that may mean for your portfolio. 260 00:13:59,840 --> 00:14:01,959 Speaker 1: Does at mean that you're not pricing in any chance 261 00:14:01,960 --> 00:14:04,199 Speaker 1: of a recession in the next few years. We don't 262 00:14:04,240 --> 00:14:06,480 Speaker 1: anticipated recession. Right now, we think that we're going to 263 00:14:06,600 --> 00:14:09,320 Speaker 1: hover around two to two point two percent growth, but 264 00:14:09,520 --> 00:14:12,920 Speaker 1: we need some implementation in DC to help that along. 265 00:14:13,559 --> 00:14:15,360 Speaker 1: So right now, you're still betting on the Trump up 266 00:14:15,600 --> 00:14:18,680 Speaker 1: we are. I want to press you just a little 267 00:14:18,679 --> 00:14:21,000 Speaker 1: bit on this seven percent idea, because you know, when 268 00:14:21,040 --> 00:14:23,560 Speaker 1: someone says seven percent, I go looking on my Bloomberg 269 00:14:23,560 --> 00:14:26,160 Speaker 1: and I call up Royal Dutch Shell. All right, this 270 00:14:26,240 --> 00:14:30,160 Speaker 1: is a global or soup him. Well, but I mean 271 00:14:30,240 --> 00:14:34,360 Speaker 1: it's okay, well it's not Royal. Well, okay, Royal Dutch Shell, 272 00:14:34,480 --> 00:14:37,760 Speaker 1: and it's got a yield of over seven percent, albeit 273 00:14:37,800 --> 00:14:40,680 Speaker 1: the stock is down nearly eight percent this year. But 274 00:14:40,760 --> 00:14:42,480 Speaker 1: if you're telling me that this is a long term 275 00:14:42,520 --> 00:14:45,800 Speaker 1: bet for whomever is the customer, then they're not going 276 00:14:45,840 --> 00:14:48,800 Speaker 1: to necessarily worry about the capital appreciation or are they. 277 00:14:48,800 --> 00:14:53,000 Speaker 1: At what point does that become a denial conversation as well? Well? 278 00:14:53,240 --> 00:14:56,320 Speaker 1: I think the big question for investors around do I 279 00:14:56,400 --> 00:14:59,280 Speaker 1: chase yield in that case where you have an underperforming asset, 280 00:14:59,280 --> 00:15:03,000 Speaker 1: because the energy businesses has been hit over the last 281 00:15:03,040 --> 00:15:05,880 Speaker 1: really eighteen months, but more um recently in the last 282 00:15:05,920 --> 00:15:08,920 Speaker 1: couple of months, and when you chase just absolute levels 283 00:15:08,920 --> 00:15:10,760 Speaker 1: of yield, you're gonna get hurt. What we would say is, 284 00:15:11,080 --> 00:15:14,760 Speaker 1: build a portfolio around equity income and what's more important 285 00:15:14,840 --> 00:15:17,720 Speaker 1: is the actual growth of yield rather than the absolute 286 00:15:17,760 --> 00:15:20,360 Speaker 1: dollar value, because if you go chasing that dollar value 287 00:15:20,360 --> 00:15:23,560 Speaker 1: of yield, inevitably you're going to get hurt because it's 288 00:15:23,560 --> 00:15:25,240 Speaker 1: the names that have already sold off, and unless you 289 00:15:25,240 --> 00:15:27,360 Speaker 1: have a very long term time perspective and you have 290 00:15:27,400 --> 00:15:30,680 Speaker 1: a very clear indication of default risk and cash flow 291 00:15:30,880 --> 00:15:34,320 Speaker 1: needs of that company, it can be a more challenging situation. 292 00:15:34,600 --> 00:15:37,560 Speaker 1: Real quick. What's the most overvalued aspect of markets right now? 293 00:15:38,920 --> 00:15:41,720 Speaker 1: We would say that probably the most overvalued would be 294 00:15:42,720 --> 00:15:46,680 Speaker 1: marginally in the high yield space, just as it relates 295 00:15:46,720 --> 00:15:49,520 Speaker 1: to where spreads are. They're so tight, um, we haven't 296 00:15:49,520 --> 00:15:51,840 Speaker 1: seen them this tight and quite a while, so that 297 00:15:51,840 --> 00:15:53,800 Speaker 1: would be the place where we're still allocating to them, 298 00:15:53,800 --> 00:15:55,160 Speaker 1: but we want to be on a conservative side and 299 00:15:55,240 --> 00:15:57,680 Speaker 1: high quality within the high yield space. Well you can't 300 00:15:57,680 --> 00:16:01,400 Speaker 1: see it, but Lisa is shaking her head because this 301 00:16:01,480 --> 00:16:05,760 Speaker 1: is something you've been noting for any any little bit. 302 00:16:05,800 --> 00:16:09,320 Speaker 1: Alan McKnight, thanks very much, Chief Investment Officer, Wealth Management, 303 00:16:09,440 --> 00:16:13,440 Speaker 1: Regents Bank eighty one billion dollars under management. They're based 304 00:16:13,440 --> 00:16:27,400 Speaker 1: in New Orleans. But we did get the healthcare bill 305 00:16:27,520 --> 00:16:30,600 Speaker 1: out of the Senate yesterday. We at least saw a 306 00:16:30,760 --> 00:16:33,320 Speaker 1: version of it coming out of the GOP and there 307 00:16:33,400 --> 00:16:36,880 Speaker 1: were some scathing responses to it, including from Dr Jonathan 308 00:16:36,920 --> 00:16:40,400 Speaker 1: Gruber and m I t Professor of economics, who said 309 00:16:40,440 --> 00:16:44,560 Speaker 1: that the deal was quote amazingly bad. Dr Gruber was 310 00:16:44,600 --> 00:16:48,120 Speaker 1: also a key architect of Obamacare, and he joins us now. 311 00:16:48,240 --> 00:16:51,320 Speaker 1: Dr Gruber, thank you so much for taking the time. 312 00:16:51,480 --> 00:16:53,240 Speaker 1: We have a sense of where you may be coming 313 00:16:53,280 --> 00:16:57,280 Speaker 1: from with respect to your view on this proposal. I 314 00:16:57,280 --> 00:17:00,200 Speaker 1: would love to get your sense of which provisions in 315 00:17:00,240 --> 00:17:03,520 Speaker 1: the Senate bill are most important to watch and have 316 00:17:03,640 --> 00:17:08,119 Speaker 1: the most potential impact going forward. Yeah, thanks for having me. 317 00:17:08,160 --> 00:17:10,919 Speaker 1: And look, I think it's very important to recognize we 318 00:17:10,960 --> 00:17:13,560 Speaker 1: all come in this of the view, but the facts 319 00:17:13,640 --> 00:17:18,680 Speaker 1: be clearly, which is literally, if you ask Republican senators 320 00:17:19,040 --> 00:17:21,600 Speaker 1: what this bill accomplishes, they don't have an answer for 321 00:17:21,640 --> 00:17:24,959 Speaker 1: you other than what repeals Obamacare, which it doesn't do. 322 00:17:25,560 --> 00:17:30,280 Speaker 1: I mean, this is literally taking Obamacare and just making 323 00:17:30,320 --> 00:17:32,639 Speaker 1: it worse. Well, hold on a second, wait, hold on second, 324 00:17:33,080 --> 00:17:35,840 Speaker 1: because I think that somebody might say, well, honestly, it 325 00:17:35,920 --> 00:17:38,320 Speaker 1: lowers the cost. And if it lowers the cost, but 326 00:17:38,480 --> 00:17:43,080 Speaker 1: that goes forward and helps the overall budget of the US. Okay, well, 327 00:17:43,440 --> 00:17:46,160 Speaker 1: let's be clear, so let's separate key terms. It does 328 00:17:46,200 --> 00:17:48,879 Speaker 1: not lower the cost of healthcare. It does not lower 329 00:17:48,920 --> 00:17:53,680 Speaker 1: health premiums. It so it does lower government spending on healthcare, 330 00:17:54,200 --> 00:17:57,120 Speaker 1: but it doesn't lower the deficit. It just goes into 331 00:17:57,240 --> 00:17:59,760 Speaker 1: tax cuts for the rich. So we're talking about the 332 00:18:00,080 --> 00:18:04,080 Speaker 1: largest social insurance rollback in our nation's history, and the 333 00:18:04,160 --> 00:18:07,120 Speaker 1: torre diduction. The deficit will be maybe ten billion a year, 334 00:18:07,200 --> 00:18:11,240 Speaker 1: which is like, okay, so or two or three percent, 335 00:18:11,480 --> 00:18:14,239 Speaker 1: so like who cares. So basically my point is I 336 00:18:14,280 --> 00:18:17,240 Speaker 1: don't understand the point of this whole bill. And this 337 00:18:17,320 --> 00:18:20,400 Speaker 1: isn't about the fact that, like Obamacare. This is literally 338 00:18:20,440 --> 00:18:24,120 Speaker 1: a question what does this bill accomplish. It doesn't lower 339 00:18:24,160 --> 00:18:28,840 Speaker 1: the deficit, it doesn't lower premiums, it doesn't lower healthcare spending. 340 00:18:29,280 --> 00:18:32,359 Speaker 1: It does create more uninsured. It does mean that the 341 00:18:32,440 --> 00:18:34,920 Speaker 1: sick and loving come out to pay much more further healthcare. 342 00:18:35,560 --> 00:18:36,960 Speaker 1: I just don't know what the point of it is, 343 00:18:37,600 --> 00:18:41,359 Speaker 1: all right. Having said that, Dr Kruber, as someone that 344 00:18:41,600 --> 00:18:45,560 Speaker 1: I'm sure is well steeped in the political world now 345 00:18:45,640 --> 00:18:48,800 Speaker 1: as you are in the world of economics and healthcare, 346 00:18:49,240 --> 00:18:52,240 Speaker 1: because you have a pedigree that you know, you're director 347 00:18:52,240 --> 00:18:54,920 Speaker 1: of healthcare program at the National View of Economic Research 348 00:18:54,960 --> 00:18:58,119 Speaker 1: and so on. You know, very distinguished. Can you be 349 00:18:58,160 --> 00:19:02,760 Speaker 1: a little bit perhaps more political and explain to everybody 350 00:19:02,800 --> 00:19:05,560 Speaker 1: what do you really believe is going on and what 351 00:19:05,760 --> 00:19:11,840 Speaker 1: is the ultimate purpose? So basically, honestly, from a standard 352 00:19:11,840 --> 00:19:14,480 Speaker 1: politically con perspective, I can't explain what's going on. Because 353 00:19:14,480 --> 00:19:18,080 Speaker 1: if you said to me, will the will an administration 354 00:19:18,080 --> 00:19:22,720 Speaker 1: and Congress passive bill which literally makes ninety seven percent 355 00:19:22,760 --> 00:19:25,920 Speaker 1: of Americans, you know, makes two percent Americans better off 356 00:19:25,960 --> 00:19:29,879 Speaker 1: and probably Americans worse off, I would have said, you 357 00:19:29,880 --> 00:19:34,360 Speaker 1: can't do that, because that's just politically impossible. So honestly, 358 00:19:34,400 --> 00:19:38,280 Speaker 1: I can't explain the politics of this other than Republicans 359 00:19:38,359 --> 00:19:40,600 Speaker 1: just feel that they need to please their base, that 360 00:19:40,720 --> 00:19:43,880 Speaker 1: they promise their base they do something about Obamacare. They're 361 00:19:43,920 --> 00:19:45,920 Speaker 1: gonna label us a repeal of Obamacare, although as I 362 00:19:46,000 --> 00:19:50,040 Speaker 1: said yesterday, it's sort of half repeal of Obamacare plus 363 00:19:50,040 --> 00:19:52,680 Speaker 1: a massive Medicaid cut, So it's really it's a weird 364 00:19:52,720 --> 00:19:55,399 Speaker 1: bill because it's not a repeal of Obamacare. Okay, it 365 00:19:55,480 --> 00:19:59,160 Speaker 1: is Obamacare light. It's literally just a scaling back of Obamacare. 366 00:19:59,680 --> 00:20:01,800 Speaker 1: You don't like Obamacare tax credits, while we do is 367 00:20:01,840 --> 00:20:04,439 Speaker 1: make them smaller. You don't like Obamacare regulations, They make 368 00:20:04,480 --> 00:20:07,320 Speaker 1: them a little bit weaker. You don't like Obamacare pieces, 369 00:20:07,320 --> 00:20:09,480 Speaker 1: They just make them smaller. Well, plus they add a 370 00:20:09,560 --> 00:20:13,160 Speaker 1: massive cut in Medicaid above and beyond what Obama did 371 00:20:13,160 --> 00:20:15,159 Speaker 1: to expand Medicaid, and they used to pay for a 372 00:20:15,160 --> 00:20:17,800 Speaker 1: tax cut for the rich. Well, honestly, I don't understand 373 00:20:17,800 --> 00:20:20,679 Speaker 1: the politics, So Dr Gruber, one of one thing that 374 00:20:20,720 --> 00:20:24,880 Speaker 1: a lot of Republicans are saying is, look, Obamacare, the costs, 375 00:20:24,920 --> 00:20:27,959 Speaker 1: the premiums are poised to go up rapidly in the 376 00:20:28,040 --> 00:20:32,560 Speaker 1: upcoming years. You know, to quote President Trump that Obamacare 377 00:20:32,640 --> 00:20:35,119 Speaker 1: is quote broken. So clearly there is a lot of 378 00:20:35,160 --> 00:20:39,920 Speaker 1: concern going forward about the potential for Obamacare to continue 379 00:20:39,920 --> 00:20:42,760 Speaker 1: providing some of the care that it already has. So, 380 00:20:42,960 --> 00:20:45,560 Speaker 1: I mean, how would you respond to to that to 381 00:20:45,600 --> 00:20:47,760 Speaker 1: basically say, this is an attempt to at least lower 382 00:20:47,760 --> 00:20:50,560 Speaker 1: costs and ameliorate some of the uh, some of the 383 00:20:50,600 --> 00:20:53,399 Speaker 1: aspects of Obamacare that haven't yet even been observed. So 384 00:20:53,480 --> 00:20:55,639 Speaker 1: the way I would respond to that is to is 385 00:20:55,640 --> 00:20:59,120 Speaker 1: to explain the facts. First of all, we're not talking 386 00:20:59,160 --> 00:21:03,280 Speaker 1: about the vastment already of Americans. Neither Obamacare nor this 387 00:21:03,400 --> 00:21:06,320 Speaker 1: law affects you. If you have employer responsive insurance. This 388 00:21:06,400 --> 00:21:08,000 Speaker 1: law makes your life a little bit worse because it 389 00:21:08,400 --> 00:21:11,240 Speaker 1: allows employers to put lifetime limits back. So it's sort 390 00:21:11,240 --> 00:21:13,480 Speaker 1: of violence that Jimmy kim erule, if you will. But 391 00:21:13,840 --> 00:21:16,440 Speaker 1: other than that, it doesn't much affect you employer sponsored insurance. 392 00:21:16,440 --> 00:21:19,000 Speaker 1: We're talking about the minority of people who buy insurance 393 00:21:19,000 --> 00:21:22,720 Speaker 1: in the individual market. All this law will do is 394 00:21:23,119 --> 00:21:26,360 Speaker 1: destroy that market. Now, it's true that market doesn't work 395 00:21:26,359 --> 00:21:29,320 Speaker 1: that well for many people. Um, and that's a shame, 396 00:21:29,400 --> 00:21:31,439 Speaker 1: and we should address that. And we could address that. 397 00:21:31,840 --> 00:21:34,119 Speaker 1: But it's sort of like saying, we've got a market 398 00:21:34,119 --> 00:21:36,680 Speaker 1: that Obamacare created that's not working as we would have liked, 399 00:21:36,800 --> 00:21:39,520 Speaker 1: so let's just destroy it. But it doesn't replace it, 400 00:21:39,520 --> 00:21:42,520 Speaker 1: it doesn't fix it. Nothing still makes it better. Now, 401 00:21:42,520 --> 00:21:45,600 Speaker 1: if you say you don't like Obamacare, that's fine, let's 402 00:21:45,640 --> 00:21:47,920 Speaker 1: fix it. I disagree. I think Obamacare is working better 403 00:21:47,920 --> 00:21:49,919 Speaker 1: than people say. I'm have to get into that. But 404 00:21:50,119 --> 00:21:52,240 Speaker 1: you know, I know listeners might not agree with me 405 00:21:52,280 --> 00:21:55,120 Speaker 1: on that. That's fine. Want listeners to ask is what 406 00:21:55,160 --> 00:21:58,159 Speaker 1: does this law do to make it better? Absolutely nothing, 407 00:21:58,760 --> 00:22:01,960 Speaker 1: And that's the key thing. It's basically a range previous said, 408 00:22:01,960 --> 00:22:05,440 Speaker 1: we have a we have a bipolar choice either Obamacare 409 00:22:05,600 --> 00:22:09,320 Speaker 1: this law. That's just wrong. They're using the political hate 410 00:22:09,440 --> 00:22:12,720 Speaker 1: Obamacare to cover up something which is a fundamental attack 411 00:22:12,760 --> 00:22:15,760 Speaker 1: on the U. S healthcare system. It doesn't make anything better. 412 00:22:16,480 --> 00:22:18,680 Speaker 1: We're gonna leave it there, thank you very much. Dr 413 00:22:18,800 --> 00:22:22,720 Speaker 1: Jonathan Gruber is economic Professor of m i T. Massachusetts 414 00:22:22,760 --> 00:22:27,240 Speaker 1: Institute of Technology, and he was previously the director of 415 00:22:27,320 --> 00:22:31,280 Speaker 1: Healthcare Program at the National Bureau of Economic Research. And 416 00:22:31,600 --> 00:22:34,560 Speaker 1: also he was a key architect of both the twenty 417 00:22:35,000 --> 00:22:39,480 Speaker 1: two thousand six rather Massachusetts healthcare reform bill that was 418 00:22:39,800 --> 00:22:54,600 Speaker 1: sometimes referred to as Romney Care. Well, you know, the 419 00:22:54,680 --> 00:22:59,560 Speaker 1: railroad industry has been beset by technological as well as 420 00:22:59,600 --> 00:23:04,520 Speaker 1: economic challenges, and Thomas Black are industrial and aerospace reporter 421 00:23:04,560 --> 00:23:07,600 Speaker 1: for Bloomberg News, joins us now from our Dallas bureau 422 00:23:07,680 --> 00:23:10,840 Speaker 1: to help us understand about the ongoing revolution in the 423 00:23:10,960 --> 00:23:14,280 Speaker 1: railroad industry. And Thomas, first of all, thank you for 424 00:23:14,320 --> 00:23:17,000 Speaker 1: being with us, and maybe you could introduce who is 425 00:23:17,080 --> 00:23:20,199 Speaker 1: Hunter Harrison and why is it that if I go 426 00:23:20,320 --> 00:23:23,560 Speaker 1: to Amazon, I find that the book that he wrote 427 00:23:23,920 --> 00:23:27,000 Speaker 1: is out of print and no longer available, but everybody 428 00:23:27,080 --> 00:23:30,680 Speaker 1: wants it. Thanks to them, Lisa for having me on. 429 00:23:30,840 --> 00:23:36,160 Speaker 1: Hunter Harrison is a railroading legend. He's uh. He would 430 00:23:36,200 --> 00:23:37,680 Speaker 1: be in the Hall of Fame if they had one 431 00:23:37,760 --> 00:23:42,440 Speaker 1: for for the industry. He's turned around three railroads and 432 00:23:42,600 --> 00:23:46,120 Speaker 1: he's on his fourth and it looks like he's um. 433 00:23:46,119 --> 00:23:48,520 Speaker 1: He's gonna come out a winner on this one as well. 434 00:23:48,640 --> 00:23:52,040 Speaker 1: The early indication show in his book that he wrote 435 00:23:52,080 --> 00:23:56,520 Speaker 1: while he was at Canadian National is um is something 436 00:23:56,520 --> 00:24:00,119 Speaker 1: that most railroad folks have read. It's hard to it 437 00:24:00,240 --> 00:24:04,480 Speaker 1: because it was it was an in house print of 438 00:24:04,520 --> 00:24:08,679 Speaker 1: a book he wrote well as at c N, so 439 00:24:08,920 --> 00:24:12,480 Speaker 1: it's it's hard to find and um, it's certainly people 440 00:24:13,200 --> 00:24:15,000 Speaker 1: in the industry know all about it and most have 441 00:24:15,080 --> 00:24:18,320 Speaker 1: read it. How we work and why running a precision 442 00:24:18,520 --> 00:24:22,280 Speaker 1: Railroad that's the title. Tell us how he's running CSX. 443 00:24:22,320 --> 00:24:28,720 Speaker 1: Now it's all about moving cars faster and he tends 444 00:24:28,840 --> 00:24:32,320 Speaker 1: to go in and shake things up to do that, 445 00:24:32,960 --> 00:24:37,080 Speaker 1: and sometimes turning logic perhaps on his head. And one 446 00:24:37,080 --> 00:24:40,120 Speaker 1: of those examples is the hump yard that we talked 447 00:24:40,119 --> 00:24:43,880 Speaker 1: about in the In the story, it's a it's an 448 00:24:43,920 --> 00:24:47,679 Speaker 1: operation that's super efficient if you have large volume of 449 00:24:47,760 --> 00:24:49,760 Speaker 1: railroad cars. You've got to tell people what is a 450 00:24:49,840 --> 00:24:52,239 Speaker 1: hump yard? How is it used? And just give us 451 00:24:52,240 --> 00:24:55,000 Speaker 1: that background. It's called a hump yard because they actually 452 00:24:55,040 --> 00:24:58,840 Speaker 1: build a little hill where they push a train up 453 00:24:58,840 --> 00:25:01,879 Speaker 1: the hill and as just crests at the top, there's 454 00:25:02,280 --> 00:25:07,560 Speaker 1: a worker unhooked the car and then gravity pulls it 455 00:25:07,760 --> 00:25:12,840 Speaker 1: down the hill and it's automatically switched among about forty 456 00:25:13,000 --> 00:25:17,359 Speaker 1: rail lines um and it builds trains that way for 457 00:25:17,400 --> 00:25:22,680 Speaker 1: a common destination. And so they there there's basically switching 458 00:25:24,080 --> 00:25:28,600 Speaker 1: rail cars one by one through this mechanism, and it's 459 00:25:28,640 --> 00:25:32,000 Speaker 1: again very efficient if you have a thousand or fred 460 00:25:32,080 --> 00:25:35,280 Speaker 1: cars being switched every day. Uh. The key is that 461 00:25:35,320 --> 00:25:37,760 Speaker 1: they they're switching him one by one. So what Hunter 462 00:25:38,720 --> 00:25:41,320 Speaker 1: does is he says, why do we have to have 463 00:25:41,359 --> 00:25:45,119 Speaker 1: all that volume go into this hump yard at the 464 00:25:45,560 --> 00:25:48,760 Speaker 1: at the beginning when we're forming the train back up 465 00:25:48,800 --> 00:25:52,399 Speaker 1: the line. Let's put these cars together in a common 466 00:25:52,400 --> 00:25:55,879 Speaker 1: destination in blocks and that way, we don't have to 467 00:25:55,920 --> 00:25:58,200 Speaker 1: go through these yards and switch them again one by one. 468 00:25:58,240 --> 00:26:01,520 Speaker 1: We'll just use the locomotives themselves to push these blocks 469 00:26:01,560 --> 00:26:04,879 Speaker 1: around and create trains that way. And so what they 470 00:26:04,920 --> 00:26:09,440 Speaker 1: found is that they can just skip this this operation, 471 00:26:09,480 --> 00:26:13,240 Speaker 1: which is highly efficient by not sending so much volumes there. 472 00:26:13,480 --> 00:26:17,000 Speaker 1: So he's been able to shut down half of their 473 00:26:17,080 --> 00:26:21,600 Speaker 1: hump yards and it creates um efficiencies not only from 474 00:26:21,680 --> 00:26:26,240 Speaker 1: the workers and all the expenses operating hump yard, but 475 00:26:26,440 --> 00:26:30,520 Speaker 1: also by not jamming cars into these different rail yards 476 00:26:30,520 --> 00:26:34,439 Speaker 1: and slowing down the process. He's bypassing these railroads yards 477 00:26:34,440 --> 00:26:36,760 Speaker 1: all together, you know, Thomas. Just to put this into perspective, 478 00:26:36,760 --> 00:26:40,080 Speaker 1: So Hunter Harris took the helm of CSX in January 479 00:26:40,080 --> 00:26:44,200 Speaker 1: and since then the shares have risen forty three percent. 480 00:26:44,480 --> 00:26:47,359 Speaker 1: Kind of shocking, uh, as far as a gain for 481 00:26:47,400 --> 00:26:50,480 Speaker 1: a company that is not Amazon or Facebook or one 482 00:26:50,480 --> 00:26:53,040 Speaker 1: of the fangs. Just to put this into perspective, the 483 00:26:53,119 --> 00:26:56,720 Speaker 1: US freight rail network is a sixty billion dollar industry, 484 00:26:56,760 --> 00:27:00,399 Speaker 1: including a hundred and forty thou rail miles. And you know, 485 00:27:00,440 --> 00:27:02,960 Speaker 1: at a time when there's so much focus on autonomous 486 00:27:03,040 --> 00:27:07,919 Speaker 1: truck driving and infrastructure spending, I'm just wondering, what's the 487 00:27:08,359 --> 00:27:12,080 Speaker 1: what's the road forward just generally for rail companies that 488 00:27:12,119 --> 00:27:14,439 Speaker 1: are looking to modernize their you know, thought of as 489 00:27:14,440 --> 00:27:17,240 Speaker 1: a pretty pretty old technology. What sort of the future 490 00:27:17,320 --> 00:27:22,720 Speaker 1: here the Well, it's interesting that the railroads actually have 491 00:27:22,760 --> 00:27:26,760 Speaker 1: a lot of technology. They're using pretty sophisticated computer models 492 00:27:26,880 --> 00:27:33,560 Speaker 1: to manage their networks. Now they have sensors throughout their uh, 493 00:27:33,680 --> 00:27:39,399 Speaker 1: their tracks to monitor the track health, the health of 494 00:27:39,440 --> 00:27:44,280 Speaker 1: the cars themselves. Some railroads are expanding experimenting with the 495 00:27:44,640 --> 00:27:48,560 Speaker 1: large X ray type machines that the that would be 496 00:27:49,400 --> 00:27:51,920 Speaker 1: basically over the tracks and cars would go through there 497 00:27:51,920 --> 00:27:55,359 Speaker 1: and they'd be able to check their their rail cars 498 00:27:55,359 --> 00:27:59,040 Speaker 1: automatically to see if maybe an axle needs to be replaced, 499 00:27:59,119 --> 00:28:01,800 Speaker 1: or wheel or brake needs to be replaced. So they 500 00:28:01,840 --> 00:28:06,320 Speaker 1: are using new technology. Um, but it's it's it's hard 501 00:28:06,359 --> 00:28:09,240 Speaker 1: to see because it is an industry that, like you said, 502 00:28:09,280 --> 00:28:12,800 Speaker 1: that is fairly old and in the concept hasn't changed, right, 503 00:28:12,840 --> 00:28:16,159 Speaker 1: you still have locomotives and you have cars that they're pulling. 504 00:28:17,480 --> 00:28:20,080 Speaker 1: Last point to you, Thomas, you know when you look 505 00:28:20,119 --> 00:28:23,520 Speaker 1: at all this the movement of all this good, how's 506 00:28:23,520 --> 00:28:26,240 Speaker 1: the railroad industry doing in the United States, particularly CSS 507 00:28:26,280 --> 00:28:29,320 Speaker 1: give you about twenty seconds. The railroad industry. It's it's 508 00:28:29,320 --> 00:28:34,560 Speaker 1: doing well there. They've had difficulties because coal has uh cold, 509 00:28:34,600 --> 00:28:37,359 Speaker 1: demand has dropped, but they're coming to terms with that 510 00:28:37,440 --> 00:28:40,560 Speaker 1: and they're strut to see volume growth and that they're 511 00:28:40,640 --> 00:28:43,480 Speaker 1: much more efficient than they ever have been. And in fact, 512 00:28:43,520 --> 00:28:47,120 Speaker 1: all the capital that they've spent on the rails since 513 00:28:47,480 --> 00:28:52,200 Speaker 1: they have been deregulated in nineteen has put the rail 514 00:28:52,280 --> 00:28:56,000 Speaker 1: system really and it's probably the it's it's best condition ever, 515 00:28:56,600 --> 00:28:59,680 Speaker 1: is what I'm being told. Thomas Black, thank you so 516 00:28:59,720 --> 00:29:02,200 Speaker 1: much for joining us a truly fascinating story. Thomas Back 517 00:29:02,360 --> 00:29:05,880 Speaker 1: is the industrial and aerospace reporter for Bloomberg News, coming 518 00:29:05,920 --> 00:29:10,120 Speaker 1: to us from our Dallas bureau talking about c s X. Honestly, 519 00:29:10,160 --> 00:29:14,120 Speaker 1: I am just shocked PIM gain in one year for 520 00:29:14,280 --> 00:29:18,200 Speaker 1: a relatively old technology fascinating times. I'm Lisa abram Woods, 521 00:29:18,240 --> 00:29:23,440 Speaker 1: PIM Fox, and this is Bloomberg. Thanks for listening to 522 00:29:23,440 --> 00:29:26,320 Speaker 1: the Bloomberg P and L podcast. You can subscribe and 523 00:29:26,400 --> 00:29:30,400 Speaker 1: listen to interviews at Apple Podcasts, SoundCloud, or whatever podcast 524 00:29:30,400 --> 00:29:33,880 Speaker 1: platform you prefer. I'm PIM Fox. I'm on Twitter at 525 00:29:34,040 --> 00:29:37,960 Speaker 1: pim Fox. I'm on Twitter at Lisa abramowits one before 526 00:29:37,960 --> 00:29:40,880 Speaker 1: the podcast. You can always catch us worldwide on Bloomberg 527 00:29:40,960 --> 00:29:41,240 Speaker 1: Radio