1 00:00:00,080 --> 00:00:02,040 Speaker 1: P and L is brought to you by proper Cloth, 2 00:00:02,120 --> 00:00:05,120 Speaker 1: a leader in men's custom shirts with proprietary smart sized 3 00:00:05,120 --> 00:00:08,720 Speaker 1: technology and top rated customer service. Ordering a custom shirt 4 00:00:08,760 --> 00:00:11,680 Speaker 1: has never been easier. Visit proper cloth dot com to 5 00:00:11,760 --> 00:00:19,920 Speaker 1: order your first custom shirt today. Welcome to the Bloomberg 6 00:00:20,000 --> 00:00:22,599 Speaker 1: P and L Podcast. I'm Pim Fox. Along with my 7 00:00:22,640 --> 00:00:25,759 Speaker 1: co host Lisa Abramowitz. Each day we bring you the 8 00:00:25,800 --> 00:00:29,360 Speaker 1: most important, noteworthy, and useful interviews for you and your money, 9 00:00:29,360 --> 00:00:32,360 Speaker 1: whether at the grocery store or the trading floor. Find 10 00:00:32,400 --> 00:00:35,800 Speaker 1: the Bloomberg P and L Podcast on iTunes, SoundCloud and 11 00:00:36,080 --> 00:00:44,680 Speaker 1: at Bloomberg dot com. For almost a quarter of a century, 12 00:00:44,720 --> 00:00:49,320 Speaker 1: developing economies built up their foreign currency reserves trying to 13 00:00:49,479 --> 00:00:54,760 Speaker 1: stave off another type of financial crisis, potential dramatic decline 14 00:00:54,840 --> 00:00:59,800 Speaker 1: in their economic trajectories. But now it seems like that 15 00:01:00,080 --> 00:01:02,280 Speaker 1: trend is changing. I want to bring in Damian Sass, 16 00:01:02,280 --> 00:01:05,679 Speaker 1: our fixed income strategist here at a Bloomberg Intelligence. He 17 00:01:05,760 --> 00:01:09,040 Speaker 1: joins us in our eleven three oh studio. Damien, you 18 00:01:09,080 --> 00:01:11,160 Speaker 1: wrote this report. I thought it was fascinating. Can you 19 00:01:11,200 --> 00:01:15,560 Speaker 1: explain why we've seen such a decline in foreign currency 20 00:01:15,600 --> 00:01:18,680 Speaker 1: reserves in certain economies and just how big some of 21 00:01:18,720 --> 00:01:21,360 Speaker 1: the declines have been. Yeah, sure, well, thank you Lisa, 22 00:01:21,400 --> 00:01:24,800 Speaker 1: thank you pim Um. Well, look um, foreign currency reserves 23 00:01:24,800 --> 00:01:26,480 Speaker 1: are really used for three things, right. They used to 24 00:01:26,760 --> 00:01:30,440 Speaker 1: maintain a currency peg for fixed and or managed um 25 00:01:30,600 --> 00:01:33,800 Speaker 1: the currency regimes such as for example, China, which has 26 00:01:33,800 --> 00:01:37,880 Speaker 1: in fact exhibited the greatest decline in reserves um over 27 00:01:37,920 --> 00:01:39,600 Speaker 1: the past two and a half years. I mean from 28 00:01:39,640 --> 00:01:44,440 Speaker 1: I believe really from four trillion to just under three 29 00:01:44,480 --> 00:01:46,760 Speaker 1: trillion U S dollars now, so that's a pretty big, 30 00:01:47,120 --> 00:01:49,840 Speaker 1: pretty sharp decline. But they are also used to support 31 00:01:49,880 --> 00:01:52,720 Speaker 1: external trade. I mean, I think the big statistic that 32 00:01:52,760 --> 00:01:56,240 Speaker 1: central banks like to look at is your currency reserves. 33 00:01:56,240 --> 00:01:58,720 Speaker 1: Your foreign currency reserves should be the equivalent of three 34 00:01:58,720 --> 00:02:02,280 Speaker 1: months of import. But most importantly, they're used as a 35 00:02:02,360 --> 00:02:06,320 Speaker 1: kind of a precautionary savings buffer during a balance of 36 00:02:06,360 --> 00:02:08,720 Speaker 1: payments crisis such as you know in the late nineties 37 00:02:08,760 --> 00:02:10,840 Speaker 1: we saw that in Asia. So those are really the 38 00:02:10,880 --> 00:02:13,359 Speaker 1: three primary uses. And you know, the way we look 39 00:02:13,360 --> 00:02:16,840 Speaker 1: at here at b I is declining currency reserves and 40 00:02:16,919 --> 00:02:20,040 Speaker 1: e M just exposes them to a whole slew of 41 00:02:20,160 --> 00:02:23,079 Speaker 1: new risk. And I think the emphasis now must kind 42 00:02:23,080 --> 00:02:27,560 Speaker 1: of shift from long term growth and um current account health. 43 00:02:27,919 --> 00:02:32,320 Speaker 1: Two more that coverage ratios and short term liquidity metrics 44 00:02:32,320 --> 00:02:35,440 Speaker 1: such as reserve ratios and short term short term external debt. 45 00:02:35,440 --> 00:02:37,440 Speaker 1: And that's what we focus on here in this report. 46 00:02:37,960 --> 00:02:40,080 Speaker 1: Can you tell us the countries that are involved in 47 00:02:40,120 --> 00:02:42,600 Speaker 1: this and perhaps just give a detail about each one. 48 00:02:43,200 --> 00:02:46,160 Speaker 1: So from I mean from the from the good side, 49 00:02:46,480 --> 00:02:49,640 Speaker 1: you have countries such as Peru and the Philippines which 50 00:02:49,720 --> 00:02:52,919 Speaker 1: are which which track rather well. I mean their reserves 51 00:02:52,960 --> 00:02:55,320 Speaker 1: are I mean, in the case of Peru nearly three 52 00:02:55,320 --> 00:02:58,800 Speaker 1: times the i m f S reserve adequacy ratio. Seeing 53 00:02:58,880 --> 00:03:00,799 Speaker 1: with the Philippines, I think it's and a half times, 54 00:03:00,800 --> 00:03:03,680 Speaker 1: so they get both gold stars Peru and the Philippines, 55 00:03:04,200 --> 00:03:08,320 Speaker 1: that's correct, and add demerits um one. Malaysia is probably 56 00:03:08,400 --> 00:03:10,880 Speaker 1: first among sort of the major e m s. You've 57 00:03:10,880 --> 00:03:13,960 Speaker 1: also got South Africa, Turkey, and Kazakhstan. I mean, those 58 00:03:14,000 --> 00:03:15,760 Speaker 1: four really kind of stand out to us as being 59 00:03:15,760 --> 00:03:20,600 Speaker 1: below the IMPS reserve adequacy ratios, and China is right 60 00:03:20,600 --> 00:03:23,520 Speaker 1: at the cusp. Yeah, so hold on a second. You 61 00:03:23,560 --> 00:03:25,640 Speaker 1: also have a statistic in here that one fifth of 62 00:03:25,720 --> 00:03:28,639 Speaker 1: emerging market economies at least those on record, have foreign 63 00:03:28,720 --> 00:03:33,000 Speaker 1: currency reserves below the i m F reserve adequacy threshold. 64 00:03:33,040 --> 00:03:36,360 Speaker 1: Are we heading toward another emerging markets crisis here? So 65 00:03:36,480 --> 00:03:38,480 Speaker 1: what we're looking at here is the i m F 66 00:03:38,600 --> 00:03:41,680 Speaker 1: defines the emerging markets and however way they do it. 67 00:03:41,720 --> 00:03:45,120 Speaker 1: But you know, of what they define as an emerging 68 00:03:45,160 --> 00:03:48,520 Speaker 1: market are below that threshold. And these are countries, not 69 00:03:48,600 --> 00:03:52,120 Speaker 1: only the majors. They can be Jamaica, Armenia, Pakistan, Tunisia, 70 00:03:52,480 --> 00:03:54,560 Speaker 1: the Dominican Republic. I mean, so there are quite a 71 00:03:54,560 --> 00:03:57,440 Speaker 1: few of them. Many of those countries, however, do issue 72 00:03:57,480 --> 00:03:59,720 Speaker 1: quite a bit of external US dollar debt, and a 73 00:03:59,720 --> 00:04:02,360 Speaker 1: lot that that is in some of the broad e 74 00:04:02,560 --> 00:04:05,760 Speaker 1: M indices, such as the Bloomberg Barkley's e M Hard 75 00:04:05,760 --> 00:04:08,240 Speaker 1: Currency Aggregate Index. Can we just head back to China 76 00:04:08,280 --> 00:04:09,680 Speaker 1: for a second. You said that they were kind of 77 00:04:09,680 --> 00:04:12,760 Speaker 1: on the cusp of really being in a risky zone 78 00:04:12,800 --> 00:04:18,040 Speaker 1: with respect to their capital adequacy requirements. What does this mean? 79 00:04:18,080 --> 00:04:21,560 Speaker 1: I mean, does this basically mean that they can't continue 80 00:04:21,680 --> 00:04:24,200 Speaker 1: to support their currency the way that they have been. 81 00:04:24,240 --> 00:04:26,360 Speaker 1: Doesn't mean that they're going to have to hold back 82 00:04:26,440 --> 00:04:28,880 Speaker 1: on pumping billions of dollars into their financial system and 83 00:04:28,960 --> 00:04:31,800 Speaker 1: what's the what's the consequence? Well, I mean, in China's case, right, 84 00:04:31,839 --> 00:04:34,960 Speaker 1: they are using their currency to help They're using their 85 00:04:34,960 --> 00:04:37,320 Speaker 1: currency reserves to help support their peg to the dollar. 86 00:04:37,560 --> 00:04:40,440 Speaker 1: And um, you know this doesn't in any way, shape 87 00:04:40,480 --> 00:04:41,840 Speaker 1: or form mean that they're not going to be able 88 00:04:41,880 --> 00:04:43,520 Speaker 1: to continue to do that. I mean, they still have 89 00:04:43,600 --> 00:04:46,880 Speaker 1: by far and away the largest reserves globally. Um. You know, 90 00:04:46,920 --> 00:04:49,080 Speaker 1: the way the I m F calculates reserve adequacy is 91 00:04:49,120 --> 00:04:52,160 Speaker 1: they take total exports, broad money supply, short term debt, 92 00:04:52,360 --> 00:04:54,720 Speaker 1: and other liabilities which are really kind of lines with 93 00:04:54,760 --> 00:04:57,239 Speaker 1: the I m F, etcetera. And they and they create 94 00:04:57,240 --> 00:05:00,560 Speaker 1: this threshold. And look that threshold. It is sort of 95 00:05:00,560 --> 00:05:03,400 Speaker 1: a soft threshold that's developed by the I m F 96 00:05:03,520 --> 00:05:07,000 Speaker 1: to sort of guide expectations. But you know, China's a 97 00:05:07,160 --> 00:05:10,880 Speaker 1: huge economy. I mean, you know, it's it's it's not 98 00:05:10,920 --> 00:05:12,920 Speaker 1: going under anytime soon, if you if that's where you're 99 00:05:12,920 --> 00:05:14,960 Speaker 1: headed here, I'm just simply pointing out the fact that 100 00:05:15,000 --> 00:05:17,000 Speaker 1: we have to begin looking at some of these emerging 101 00:05:17,040 --> 00:05:19,800 Speaker 1: market nations through a bit of a different lens. Um. 102 00:05:19,880 --> 00:05:22,760 Speaker 1: I can't decide whether to ask you whether the actual 103 00:05:22,800 --> 00:05:25,320 Speaker 1: currency holdings are a big deal, like you know, whether 104 00:05:25,360 --> 00:05:28,360 Speaker 1: they're holding dollars or euros. But you're telling me this 105 00:05:28,440 --> 00:05:32,000 Speaker 1: is basically something that is endemic to each individual country, 106 00:05:32,000 --> 00:05:34,679 Speaker 1: so they have their own issues. That's why this is happening. 107 00:05:34,680 --> 00:05:36,680 Speaker 1: In that case, I want to know what can we 108 00:05:36,720 --> 00:05:41,000 Speaker 1: buy in South Africa or in Malaysia or in Turkey 109 00:05:42,040 --> 00:05:44,440 Speaker 1: or get ready to buy because you know, if smart 110 00:05:44,480 --> 00:05:46,480 Speaker 1: money goes where no one else wants to go. And 111 00:05:46,640 --> 00:05:47,840 Speaker 1: I know, I mean the last time we were here, 112 00:05:47,839 --> 00:05:50,960 Speaker 1: Pin we talked about Turkey maybe being you know, fundamentally 113 00:05:51,080 --> 00:05:53,520 Speaker 1: undervalued on a number of different metrics. I mean, you know, 114 00:05:53,560 --> 00:05:56,640 Speaker 1: whatever the political turmoil is or whatever the you know, 115 00:05:56,680 --> 00:06:01,960 Speaker 1: news headlines are, it is a dynamic, industrialising economy, um 116 00:06:02,000 --> 00:06:06,039 Speaker 1: that builds you know, automobiles, trucks and has an incredible 117 00:06:06,480 --> 00:06:09,359 Speaker 1: retail sector. Sure, sure, I mean that's exactly right. I 118 00:06:09,360 --> 00:06:12,720 Speaker 1: mean Turkey, we know their financial sector issues. I mean 119 00:06:12,920 --> 00:06:15,560 Speaker 1: it's one of the most one of the largest sectors 120 00:06:15,640 --> 00:06:18,000 Speaker 1: in emerging markets in terms of its issuance of US 121 00:06:18,080 --> 00:06:20,320 Speaker 1: dollar debt um And there are a number of banks 122 00:06:20,360 --> 00:06:22,200 Speaker 1: there that we can highlight for you that have highlighted 123 00:06:22,200 --> 00:06:24,479 Speaker 1: another you know kind of um, give me, give me 124 00:06:24,520 --> 00:06:27,000 Speaker 1: one give me one of Turkish Bank. Well, you've got guarantee, 125 00:06:27,000 --> 00:06:29,920 Speaker 1: you've got a punk, you've got I mean, you've got 126 00:06:30,000 --> 00:06:32,240 Speaker 1: quite a few there that are you know, beginning to 127 00:06:32,440 --> 00:06:35,240 Speaker 1: you know, perhaps look a little bit interesting on that metric. 128 00:06:35,360 --> 00:06:37,239 Speaker 1: But you know, I think what we're really talking about 129 00:06:37,279 --> 00:06:39,799 Speaker 1: here is this is really supposed to be a sovereign 130 00:06:39,880 --> 00:06:42,800 Speaker 1: risk sort of metric. So looking at the sovereign risk 131 00:06:42,839 --> 00:06:46,400 Speaker 1: the actual you know, debt from Turkey itself or from 132 00:06:46,520 --> 00:06:48,839 Speaker 1: Kazakhstan itself, from Malaysia, I mean, that's kind of what 133 00:06:48,880 --> 00:06:51,480 Speaker 1: you're looking at now. In the case of Malaysia, you're 134 00:06:51,520 --> 00:06:53,279 Speaker 1: looking at the cook bonds, which is a whole different 135 00:06:53,279 --> 00:06:56,200 Speaker 1: animal um which I'm not about to get into right now. Um, 136 00:06:56,200 --> 00:06:58,479 Speaker 1: in South Africa, they you know, the country does issue 137 00:06:58,480 --> 00:07:00,520 Speaker 1: a lot of um, you know, sof in debt in 138 00:07:00,640 --> 00:07:04,640 Speaker 1: U S. Dollar and Euro as well. Um bast you've 139 00:07:04,640 --> 00:07:06,640 Speaker 1: got s com which are what I like to call 140 00:07:06,760 --> 00:07:10,040 Speaker 1: quasi sovereign type institutions. We gotta leave it there. Damien 141 00:07:10,160 --> 00:07:14,680 Speaker 1: sas our great great stuff fixed income Strategiest Bloomberg Intelligence 142 00:07:14,960 --> 00:07:17,680 Speaker 1: and just go to b I go on the Bloomberg 143 00:07:17,720 --> 00:07:20,080 Speaker 1: to check out all of Damien's work you gotta you 144 00:07:20,080 --> 00:07:22,520 Speaker 1: gotta read this to be up to date. This is 145 00:07:22,520 --> 00:07:40,520 Speaker 1: Bloomberg Another day, another high for US stacks. Can this last? 146 00:07:40,600 --> 00:07:43,640 Speaker 1: We're gonna take a deep dive into both the technicals 147 00:07:43,640 --> 00:07:47,520 Speaker 1: with Jeff Weiss, chief technical analyst at clear View Trading Advisors, 148 00:07:47,560 --> 00:07:51,480 Speaker 1: as well as the fundamentals with Yelena Sliva, senior u 149 00:07:51,560 --> 00:07:54,520 Speaker 1: S economist here at Bloomberg Intelligence. So, Jeff, I want 150 00:07:54,520 --> 00:07:57,120 Speaker 1: to start with you, Hi, thank you for so much 151 00:07:57,160 --> 00:07:59,880 Speaker 1: for joining us. So given that some of the tech 152 00:08:00,120 --> 00:08:02,280 Speaker 1: indicators that you look at, first of all, what are 153 00:08:02,360 --> 00:08:05,920 Speaker 1: the most reliable ones and what are they saying about 154 00:08:05,920 --> 00:08:09,080 Speaker 1: the current run up in stocks? Well as reliable as 155 00:08:09,120 --> 00:08:12,000 Speaker 1: an indicator is lee, So I'm always looking at the 156 00:08:12,040 --> 00:08:15,480 Speaker 1: downside of what could go wrong, because in the stock market, right, 157 00:08:15,520 --> 00:08:17,280 Speaker 1: you could be right nine out of ten times, and 158 00:08:17,320 --> 00:08:19,560 Speaker 1: on the tenth time if if you don't know what 159 00:08:19,600 --> 00:08:22,040 Speaker 1: to do, it could obliterate the other nine times you're right. 160 00:08:22,480 --> 00:08:24,600 Speaker 1: I still think the bulls have it. I still think 161 00:08:24,640 --> 00:08:27,880 Speaker 1: we're in a in a primary bull trend. Uh. In fact, 162 00:08:28,320 --> 00:08:30,560 Speaker 1: we actually one of your charts over there that I 163 00:08:30,600 --> 00:08:34,760 Speaker 1: gave you shows that for three Friday closes in a row, 164 00:08:35,200 --> 00:08:39,720 Speaker 1: the broad based Dow Jones Total US stock Market Index 165 00:08:39,960 --> 00:08:44,880 Speaker 1: has closed above a fairly significant trend line dating back 166 00:08:45,160 --> 00:08:48,560 Speaker 1: quite a ways. In addition, that's been confirmed by the 167 00:08:48,840 --> 00:08:53,960 Speaker 1: S and P as well as other indicators. So to me, 168 00:08:54,559 --> 00:08:57,720 Speaker 1: not even going into the new multi year highs and 169 00:08:57,760 --> 00:09:00,440 Speaker 1: the weekly Advanced to Climb liner, the big board and 170 00:09:00,480 --> 00:09:03,679 Speaker 1: the new highs and the daily advanced declientline, it is 171 00:09:03,920 --> 00:09:07,480 Speaker 1: still to me a bull until proven otherwise. And that's 172 00:09:07,520 --> 00:09:09,599 Speaker 1: not gonna be CAUs of some news. It's going to 173 00:09:09,679 --> 00:09:13,920 Speaker 1: be because of the action of the market itself. Okay, 174 00:09:13,920 --> 00:09:16,360 Speaker 1: So then let's take a look at the fundamentals, Elena. 175 00:09:16,600 --> 00:09:21,640 Speaker 1: Are we seeing economic data to support this bullish outlook 176 00:09:21,920 --> 00:09:25,000 Speaker 1: that is sort of being shown by the technicals. What 177 00:09:25,160 --> 00:09:28,400 Speaker 1: we see in the economic data, and we are looking 178 00:09:28,440 --> 00:09:32,520 Speaker 1: at different indicators, We only see a pickup in survey 179 00:09:32,600 --> 00:09:36,120 Speaker 1: indicators so far. So if you look at a Bloomberg 180 00:09:36,160 --> 00:09:40,400 Speaker 1: function e c SU, for example, you will see that 181 00:09:41,280 --> 00:09:44,880 Speaker 1: the biggest upward surprises are coming from the survey and 182 00:09:44,960 --> 00:09:49,240 Speaker 1: business cycle indicators. Everything else is pretty much flat. So 183 00:09:49,720 --> 00:09:53,160 Speaker 1: this week we're gonna see a bunch of different indicators 184 00:09:53,200 --> 00:09:58,240 Speaker 1: from retail sales to industrial production, and they're all like 185 00:09:58,400 --> 00:10:03,120 Speaker 1: expected to be oh okay, but not nothing like a 186 00:10:03,240 --> 00:10:07,559 Speaker 1: big upward surprise is expected. So uh to me, it 187 00:10:07,600 --> 00:10:10,559 Speaker 1: looks like we we are okay, but it's still a 188 00:10:10,600 --> 00:10:16,679 Speaker 1: sluggish recovery. It's still uh sluggish growth. Jeff wise, p 189 00:10:16,960 --> 00:10:20,319 Speaker 1: h excuse me. I wanted to also just mention and 190 00:10:20,360 --> 00:10:23,719 Speaker 1: congratulate you on your new book. It's called Relationship Investing 191 00:10:24,200 --> 00:10:28,840 Speaker 1: Stock Market Therapy for your money, and boy does that 192 00:10:28,920 --> 00:10:32,000 Speaker 1: you know if anything needs therapy now, it's it's everybody's money. 193 00:10:32,000 --> 00:10:34,000 Speaker 1: And you have been noted as someone that is able 194 00:10:34,040 --> 00:10:38,360 Speaker 1: to combine both the art and the science of market analysis. 195 00:10:39,000 --> 00:10:41,719 Speaker 1: And having said that, I want to just have you 196 00:10:41,760 --> 00:10:43,880 Speaker 1: speak a little bit about one of the things you 197 00:10:44,000 --> 00:10:47,000 Speaker 1: described that people ought to spend the lion's share of 198 00:10:47,080 --> 00:10:51,359 Speaker 1: their time on the analytical portion of the investment process 199 00:10:51,960 --> 00:10:56,280 Speaker 1: and not on trading fees. We keep hearing all about fees. 200 00:10:56,440 --> 00:11:00,120 Speaker 1: You know, don't spend money on fees. Tell us why 201 00:11:00,160 --> 00:11:04,240 Speaker 1: this is something that you've learned well? To me? Um, 202 00:11:04,280 --> 00:11:06,400 Speaker 1: you know I I I always say that's kind of 203 00:11:06,400 --> 00:11:09,600 Speaker 1: like having a bad dinner but bragging about the mint 204 00:11:09,720 --> 00:11:12,400 Speaker 1: at the at the end of the meal. Pim uh 205 00:11:12,480 --> 00:11:16,040 Speaker 1: to me again, you want to obviously get you know, 206 00:11:16,240 --> 00:11:20,560 Speaker 1: as competent advice as possible, consistent with very reasonable fees. 207 00:11:20,840 --> 00:11:24,360 Speaker 1: But to me, it's all about where do you buy, 208 00:11:24,520 --> 00:11:28,520 Speaker 1: where do you sell, getting the primary trend right, riding 209 00:11:28,559 --> 00:11:32,320 Speaker 1: it for all it's worth, and then having someone or 210 00:11:32,400 --> 00:11:36,000 Speaker 1: some approach that will give you a discipline to stop 211 00:11:36,040 --> 00:11:40,040 Speaker 1: a cut from becoming a hemorrhage from becoming a financial amputation. 212 00:11:40,120 --> 00:11:43,199 Speaker 1: Because I lived through nineteen seventy three nineteen seventy four, 213 00:11:43,360 --> 00:11:46,880 Speaker 1: and I've seen the horrific toll something like that couldn't inflict, 214 00:11:46,880 --> 00:11:49,720 Speaker 1: and that's one of the motivating reasons I wrote this 215 00:11:49,840 --> 00:11:54,400 Speaker 1: book to try and help people avoid some of those mistakes. Well, Jeff, 216 00:11:54,679 --> 00:11:58,120 Speaker 1: so pare what Elena was talking about with your bullish sentiment. 217 00:11:58,200 --> 00:12:00,840 Speaker 1: I'm struggling to sort of understand end the sort of 218 00:12:00,880 --> 00:12:03,760 Speaker 1: feeling that the stocks to just keep on hitting new 219 00:12:03,800 --> 00:12:06,520 Speaker 1: highs day after day after day, when, as Elena said, 220 00:12:06,800 --> 00:12:11,640 Speaker 1: we're not really seeing the justification for that in fundamental data. Yes, 221 00:12:11,679 --> 00:12:14,680 Speaker 1: that could change, but so far we're not seeing it well, Lisa. 222 00:12:14,960 --> 00:12:19,959 Speaker 1: In technical jargon, if you wait very often, not always, 223 00:12:20,000 --> 00:12:24,679 Speaker 1: nothing's always, but if you wait for the underlying background 224 00:12:24,840 --> 00:12:29,360 Speaker 1: or fundamentals to justify why a stock market has moved. 225 00:12:29,960 --> 00:12:33,760 Speaker 1: I don't know what someone's gonna be paying for that privilege. 226 00:12:34,000 --> 00:12:38,720 Speaker 1: Is it an SMP fifty, Is it an SMP twenty, 227 00:12:38,800 --> 00:12:41,560 Speaker 1: I don't know. I can tell you this though. Um, 228 00:12:41,720 --> 00:12:44,760 Speaker 1: in my opinion, the twenty two thirty to twenty two 229 00:12:44,840 --> 00:12:48,080 Speaker 1: thirty five area is a daily closing area I'd watch, 230 00:12:48,240 --> 00:12:51,360 Speaker 1: and that's four percent below where we are now. That 231 00:12:51,520 --> 00:12:53,720 Speaker 1: to me is the area to watch, all right. So basically, Jeff, 232 00:12:53,760 --> 00:12:56,800 Speaker 1: you're saying that the economic data is a lagging indicator. Elena, 233 00:12:57,080 --> 00:12:59,880 Speaker 1: is there any economic data point that you look at 234 00:13:00,080 --> 00:13:04,040 Speaker 1: you do not think it's a lacking indicator? Well, I 235 00:13:04,080 --> 00:13:07,680 Speaker 1: think what we should look and that is probably gonna 236 00:13:07,720 --> 00:13:11,679 Speaker 1: be even more important than economic data, is what cha 237 00:13:11,920 --> 00:13:15,240 Speaker 1: Yellen is going to tell us tomorrow, And that could 238 00:13:15,320 --> 00:13:18,640 Speaker 1: be a little bit forward looking. Right, So we think 239 00:13:18,720 --> 00:13:22,880 Speaker 1: that she will continue to be on a davish side. Uh, 240 00:13:22,960 --> 00:13:28,280 Speaker 1: She's gonna be herself, no, no hawky ish science from her. Uh. 241 00:13:28,320 --> 00:13:33,480 Speaker 1: Probably the testimony itself will not contain any clues as 242 00:13:33,800 --> 00:13:36,600 Speaker 1: about the timing of the next rade hike, but she 243 00:13:36,679 --> 00:13:39,960 Speaker 1: will probably be asked about it. And uh, I don't 244 00:13:40,000 --> 00:13:43,720 Speaker 1: think she's gonna rule out March. She's probably gonna say, oh, 245 00:13:43,840 --> 00:13:46,440 Speaker 1: it's a life meeting. Every meeting is a life meeting. 246 00:13:46,960 --> 00:13:51,240 Speaker 1: But uh, we don't think that that really means that 247 00:13:51,280 --> 00:13:55,760 Speaker 1: they will hike in March. Uh. Still at Bloomberg Intelligence Economics, 248 00:13:55,840 --> 00:13:59,800 Speaker 1: we think that the tightening will be gradual. Only two 249 00:14:00,000 --> 00:14:02,400 Speaker 1: eight tikes this year June and at the end of 250 00:14:02,440 --> 00:14:06,000 Speaker 1: the year. So uh, the outlook for the fit is 251 00:14:06,040 --> 00:14:09,280 Speaker 1: still kind of the same gradual tight ending this year 252 00:14:09,679 --> 00:14:13,280 Speaker 1: and no no big surprises. Quick one to you, Jeff 253 00:14:13,320 --> 00:14:15,840 Speaker 1: Wats Imagine that you've got the scenario that you sat 254 00:14:15,880 --> 00:14:18,720 Speaker 1: out all of this move higher in stocks. Now you're 255 00:14:18,760 --> 00:14:21,040 Speaker 1: wondering was that a mistake? Should I admit it to 256 00:14:21,120 --> 00:14:25,000 Speaker 1: myself and get in or do I just you know, 257 00:14:25,240 --> 00:14:27,920 Speaker 1: keep my counsel. If it were my money and I 258 00:14:28,200 --> 00:14:32,120 Speaker 1: basically write that book from from me, what would I 259 00:14:32,240 --> 00:14:36,080 Speaker 1: do if your money, the reader's money, where my money? Yes, 260 00:14:36,160 --> 00:14:41,400 Speaker 1: I think it's a bull trend um at the mistake Otherwise, Uh, yeah, 261 00:14:41,480 --> 00:14:43,640 Speaker 1: a mistake or you know, to me, a mistake is 262 00:14:43,680 --> 00:14:45,560 Speaker 1: not selling a stock on the way down when you 263 00:14:45,560 --> 00:14:47,640 Speaker 1: should and selling it the market understand to get the 264 00:14:47,680 --> 00:14:50,360 Speaker 1: extra ten cents on the upside and risking twenty five 265 00:14:50,400 --> 00:14:53,800 Speaker 1: hours on the downside. But yes, I think we are 266 00:14:53,840 --> 00:14:56,400 Speaker 1: in a bull trend. I think, you know, miss Yellen 267 00:14:56,600 --> 00:14:58,680 Speaker 1: is welcome to come over my home, but there will 268 00:14:58,720 --> 00:15:01,320 Speaker 1: be no talk about, you know, economic statistics. There. We 269 00:15:01,360 --> 00:15:04,280 Speaker 1: will be looking at we will be looking at stock charts. 270 00:15:04,320 --> 00:15:06,320 Speaker 1: And again, I was in economics major. It's just that 271 00:15:06,640 --> 00:15:09,640 Speaker 1: I don't have an ability to look at reams as 272 00:15:09,680 --> 00:15:13,080 Speaker 1: I note in the Book of Fundamental Data and Economic Analysis, 273 00:15:13,240 --> 00:15:15,520 Speaker 1: and have any idea what that portends for me in 274 00:15:15,640 --> 00:15:17,720 Speaker 1: terms of the stock market. So to me, if I 275 00:15:17,760 --> 00:15:21,480 Speaker 1: want to look at a stock, I look at the stock. 276 00:15:22,000 --> 00:15:24,360 Speaker 1: To me is the purest form of analysis. And thanks 277 00:15:24,400 --> 00:15:27,720 Speaker 1: for being with us and sharing it. Thank you, Chief 278 00:15:27,800 --> 00:15:30,960 Speaker 1: technical Analyst, clear View Trading Advisors. He's the author of 279 00:15:31,000 --> 00:15:35,160 Speaker 1: the new book Relationship Investing Our Thanks also to Elena Strieteva, 280 00:15:35,480 --> 00:15:48,080 Speaker 1: senior US economist for Bloomberg Intelligence. This is Bloomberg P 281 00:15:48,240 --> 00:15:50,160 Speaker 1: and L is brought to you by proper Cloth, a 282 00:15:50,280 --> 00:15:53,240 Speaker 1: leader in men's custom shirts. At proper cloth dot com, 283 00:15:53,360 --> 00:15:56,720 Speaker 1: ordering custom shirts has never been easier. Create your custom 284 00:15:56,760 --> 00:15:59,920 Speaker 1: shirt size by answering ten easy questions select from a 285 00:16:00,000 --> 00:16:03,680 Speaker 1: were five fabrics to suit your personal taste. Shirts start 286 00:16:03,720 --> 00:16:06,160 Speaker 1: from eighty five dollars and are delivered in just two 287 00:16:06,160 --> 00:16:10,400 Speaker 1: weeks with Proper Cloths perfect fit Guarantee. Remakes are completely 288 00:16:10,480 --> 00:16:13,560 Speaker 1: free and expert staff are standing by to help. For 289 00:16:13,800 --> 00:16:17,440 Speaker 1: premium quality, perfect fitting shirts, visit proper cloth dot com 290 00:16:17,840 --> 00:16:29,760 Speaker 1: Custom shirts made Smarter. The musical artist Adele opened the 291 00:16:29,960 --> 00:16:34,360 Speaker 1: fifty nine Annual Grammy Awards by singing the well her 292 00:16:34,400 --> 00:16:37,240 Speaker 1: rendition of the hit song Hello, and she went home 293 00:16:37,400 --> 00:16:40,920 Speaker 1: the big winner. And now Kim Fox is going to 294 00:16:40,960 --> 00:16:46,000 Speaker 1: sing it for us and your dreams, uh perhaps our nightmare. Um, 295 00:16:46,040 --> 00:16:49,520 Speaker 1: you know adult took home five awards, and also that 296 00:16:49,560 --> 00:16:53,600 Speaker 1: she had that tribute to George Michael and yes, this 297 00:16:53,680 --> 00:16:55,840 Speaker 1: is going somewhere. But you know, the other album that 298 00:16:56,240 --> 00:17:00,960 Speaker 1: was really in competition was from Beyonce, and that was 299 00:17:01,040 --> 00:17:04,399 Speaker 1: the Lemonade album. But you know there was one winner, 300 00:17:04,480 --> 00:17:06,639 Speaker 1: no matter who wins, and that was a gentleman named 301 00:17:06,760 --> 00:17:10,760 Speaker 1: Rob Stringer. And here to tell us who is Rob Stringer. 302 00:17:10,800 --> 00:17:14,840 Speaker 1: We've got our own Lucas Shaw Bloomberg Entertainment reporter. Lucas, 303 00:17:14,920 --> 00:17:18,439 Speaker 1: is that enough of us set up? Yeah? It is so. 304 00:17:18,600 --> 00:17:22,560 Speaker 1: Rob Stringer is the head of Columbia Records, which is 305 00:17:22,680 --> 00:17:26,400 Speaker 1: I believe the oldest functioning record label in the United States. 306 00:17:26,880 --> 00:17:29,920 Speaker 1: It's been around since then the late nineteenth century. Of course, 307 00:17:30,000 --> 00:17:33,440 Speaker 1: had a different name back then. UH. And in over 308 00:17:33,480 --> 00:17:35,920 Speaker 1: the years, they've worked with David Bowie who won Big 309 00:17:36,000 --> 00:17:38,480 Speaker 1: Last Night. They've worked with Bruce Springsteen, worked with Bob Dylan, 310 00:17:38,880 --> 00:17:42,040 Speaker 1: and over the past ten or fifteen years, their biggest 311 00:17:42,119 --> 00:17:44,960 Speaker 1: two acts you you would say, have been Adele and 312 00:17:44,960 --> 00:17:47,359 Speaker 1: and Beyonce. They've actually worked with Beyonce since she was 313 00:17:47,400 --> 00:17:50,560 Speaker 1: in the girl group Destiny's Child and and Rob Stringer. 314 00:17:50,600 --> 00:17:53,080 Speaker 1: In April will go from being the head of Columbia 315 00:17:53,119 --> 00:17:55,040 Speaker 1: Records to being the head of all of Sony Music, 316 00:17:55,080 --> 00:17:57,240 Speaker 1: which is the second BIGS record label in the world. 317 00:17:57,480 --> 00:18:01,120 Speaker 1: How common is this for one record label to have 318 00:18:01,400 --> 00:18:04,880 Speaker 1: two of the most celebrated artists at the Grammy Awards. 319 00:18:05,840 --> 00:18:09,720 Speaker 1: It is common for a record label group like Universal 320 00:18:09,840 --> 00:18:14,679 Speaker 1: or Sony or Warner UH to really dominate those I forget. 321 00:18:14,720 --> 00:18:16,879 Speaker 1: I think a couple of years ago, Universal had almost 322 00:18:16,920 --> 00:18:19,240 Speaker 1: all of the major nominees, and that is the biggest 323 00:18:19,280 --> 00:18:22,040 Speaker 1: record label group. But to have one label within the 324 00:18:22,080 --> 00:18:25,960 Speaker 1: group is less common. Usually you have you know, it's 325 00:18:25,960 --> 00:18:29,320 Speaker 1: split amongst three or four or five in anyone category. 326 00:18:29,560 --> 00:18:33,560 Speaker 1: So Rob Stringer obviously made some really good selections with 327 00:18:33,600 --> 00:18:37,600 Speaker 1: the signing of Adele and Beyonce. Does this translate into 328 00:18:37,640 --> 00:18:41,200 Speaker 1: green into profits, into saving the music industry that's being 329 00:18:41,280 --> 00:18:46,080 Speaker 1: eaten away by online streaming music services? More than anything, 330 00:18:46,119 --> 00:18:49,560 Speaker 1: I think it provides stability. So if you are trying 331 00:18:49,600 --> 00:18:51,600 Speaker 1: to figure out where your next hit is going to 332 00:18:51,680 --> 00:18:54,280 Speaker 1: come from or where the sales are going to come from, Uh, 333 00:18:54,640 --> 00:18:57,760 Speaker 1: you can rest easy knowing that you're relying on Beyonce 334 00:18:57,920 --> 00:19:01,560 Speaker 1: and Adele because every time those acts release an album, 335 00:19:01,600 --> 00:19:04,320 Speaker 1: it's gonna sell. You know. Adele took the unusual step 336 00:19:04,880 --> 00:19:07,879 Speaker 1: with with her latest release twenty five, of not making 337 00:19:07,880 --> 00:19:11,159 Speaker 1: it available on any streaming services the first couple of weeks, 338 00:19:11,160 --> 00:19:12,760 Speaker 1: and she a loan hold. She went on to set 339 00:19:12,800 --> 00:19:15,520 Speaker 1: a record. Now, the money for first week sales, now, 340 00:19:15,520 --> 00:19:20,159 Speaker 1: the money from streaming services is is rising. But but 341 00:19:20,240 --> 00:19:22,919 Speaker 1: what's different is that you tend to have a longer 342 00:19:23,000 --> 00:19:25,360 Speaker 1: tail with it. Because people will stream your album over 343 00:19:25,400 --> 00:19:27,120 Speaker 1: a long period of time, you can kind of keep 344 00:19:27,119 --> 00:19:30,879 Speaker 1: making money longer after it's release than you might have. Otherwise, 345 00:19:31,640 --> 00:19:33,280 Speaker 1: you don't get as much to that kind of first 346 00:19:33,280 --> 00:19:35,040 Speaker 1: week pop. You get a lot of streams, but even 347 00:19:35,080 --> 00:19:37,200 Speaker 1: if you get, you know, a hundred million streams in 348 00:19:37,240 --> 00:19:39,320 Speaker 1: a week, you're not going to make a ton of money. 349 00:19:39,400 --> 00:19:42,159 Speaker 1: So if you have these artists like Adele or Beyonce 350 00:19:42,320 --> 00:19:45,560 Speaker 1: who can balance that interest on streaming with still being 351 00:19:45,600 --> 00:19:49,080 Speaker 1: able to move full albums, you're in a pretty good position. 352 00:19:49,520 --> 00:19:55,760 Speaker 1: Hey hey, Lucas, the record companies missed another digital revolution. 353 00:19:55,840 --> 00:19:58,000 Speaker 1: I mean they missed the online streaming. I mean that's 354 00:19:58,000 --> 00:20:02,480 Speaker 1: why we talk about Spotify, Pandora, Amazon, Apple and so on. 355 00:20:03,000 --> 00:20:06,680 Speaker 1: They missed that. But I understand that the big thing 356 00:20:06,720 --> 00:20:12,000 Speaker 1: on social media last night for the Grammys was Beyonce, 357 00:20:13,119 --> 00:20:17,200 Speaker 1: and it was her performance and her costume and so 358 00:20:17,240 --> 00:20:20,920 Speaker 1: on that lit up the social media world. Does the 359 00:20:20,960 --> 00:20:23,320 Speaker 1: record record companies figure out how to make money out 360 00:20:23,320 --> 00:20:28,280 Speaker 1: of that, because Facebook and Snapchat certainly think they do. Uh. 361 00:20:28,359 --> 00:20:31,240 Speaker 1: The only way that the record companies would make money 362 00:20:31,240 --> 00:20:36,520 Speaker 1: from that would be more people streaming or buying her album, 363 00:20:36,600 --> 00:20:39,440 Speaker 1: which will invariably happen because you just get so much 364 00:20:39,440 --> 00:20:41,119 Speaker 1: attention from it. People are gonna wake up today and 365 00:20:41,119 --> 00:20:43,800 Speaker 1: they're gonna want to listen to Lemonade. The challenge with 366 00:20:43,840 --> 00:20:46,679 Speaker 1: that is that Beyonce has limited where her album is 367 00:20:46,720 --> 00:20:49,600 Speaker 1: even more than Adele. So though Adele is now available 368 00:20:49,600 --> 00:20:52,360 Speaker 1: on Spotify and Apple Music, in these other places Beyonce 369 00:20:52,440 --> 00:20:54,480 Speaker 1: you either buy it or you you stream it untitled, 370 00:20:54,480 --> 00:20:56,960 Speaker 1: which is her husband jay z service. You know. But 371 00:20:57,080 --> 00:20:59,840 Speaker 1: you raise a good point, which is that they're all 372 00:21:00,080 --> 00:21:03,320 Speaker 1: these ways, all these touch points for for music and 373 00:21:03,680 --> 00:21:07,119 Speaker 1: really for for more broadly for entertainment, whether it's on 374 00:21:07,119 --> 00:21:09,600 Speaker 1: Facebook or Snapchat or Twitter or YouTube, and the music 375 00:21:09,640 --> 00:21:13,320 Speaker 1: industry has really struggled with how it can kind of 376 00:21:13,359 --> 00:21:17,080 Speaker 1: effectively monetize that because unlike with a movie, where you 377 00:21:17,119 --> 00:21:19,720 Speaker 1: can't really replicate the movie the experience of a movie 378 00:21:20,400 --> 00:21:22,879 Speaker 1: in like a you know, a brief Facebook post, you 379 00:21:22,920 --> 00:21:25,640 Speaker 1: can hear a song in all of these different avenues. 380 00:21:25,640 --> 00:21:28,440 Speaker 1: And so they've really tried to extract more money from 381 00:21:28,480 --> 00:21:30,840 Speaker 1: them and are in the process right now of of 382 00:21:31,119 --> 00:21:33,479 Speaker 1: negotiating with Facebook to try and figure out how they 383 00:21:33,520 --> 00:21:36,440 Speaker 1: make money off of Facebook. But it's it's a tough 384 00:21:36,440 --> 00:21:39,040 Speaker 1: balance because these tech companies feel like as long as 385 00:21:39,119 --> 00:21:42,480 Speaker 1: they're not just completely ripping a full song, uh, it's 386 00:21:42,520 --> 00:21:46,080 Speaker 1: it's nice exposure for these artists to monetize their works 387 00:21:46,119 --> 00:21:49,880 Speaker 1: in other ways, Lucas, how irrelevant are the Grammys at 388 00:21:49,880 --> 00:21:52,320 Speaker 1: this point to the major labels just because it's not 389 00:21:52,400 --> 00:21:56,720 Speaker 1: giving them any more money necessarily, not directly, right, Um, 390 00:21:56,760 --> 00:21:59,959 Speaker 1: you know, it's just an opportunity to to fump your 391 00:22:00,080 --> 00:22:03,200 Speaker 1: chest and say you're you're the best for a little while. 392 00:22:03,240 --> 00:22:04,920 Speaker 1: I mean, I think it's not who doesn't want a 393 00:22:04,960 --> 00:22:08,440 Speaker 1: reason to do that? Right? Yeah? Uh? You know they 394 00:22:08,480 --> 00:22:12,000 Speaker 1: took the sixteen share right, a sixteen share on in 395 00:22:12,040 --> 00:22:14,280 Speaker 1: the overnights for Nielsen. So that was like the same 396 00:22:14,320 --> 00:22:17,600 Speaker 1: as it was last year, Yeah, which was which was 397 00:22:17,680 --> 00:22:24,720 Speaker 1: bound down. Yeah, right, Like all awards shows, they mattered most, 398 00:22:25,400 --> 00:22:28,119 Speaker 1: kind of they seem to matter most for that that 399 00:22:28,200 --> 00:22:30,840 Speaker 1: baby boomer generation and a little bit after it. You know, 400 00:22:30,840 --> 00:22:34,720 Speaker 1: they're really popular throughout the seventies, eighties, nineties. You have 401 00:22:34,800 --> 00:22:37,560 Speaker 1: a new old people, that's what you're saying. I know, 402 00:22:37,720 --> 00:22:41,320 Speaker 1: Lucas well, No, no, because I'm unusual. I actually liked 403 00:22:41,720 --> 00:22:43,600 Speaker 1: I like the Oscars. I'm not a huge fan of 404 00:22:43,600 --> 00:22:45,520 Speaker 1: watching some of the others. The Grammies are kind of fun, 405 00:22:45,800 --> 00:22:47,760 Speaker 1: but you do have a whole generation of young people 406 00:22:47,760 --> 00:22:50,119 Speaker 1: for whom needs don't really matter, especially because they're not 407 00:22:50,160 --> 00:22:52,240 Speaker 1: awarding the artists that are most relevant to them. That's 408 00:22:52,280 --> 00:22:55,000 Speaker 1: one area where the Grammys actually they're a little better 409 00:22:55,040 --> 00:22:58,600 Speaker 1: because the Grammys do tend to nominate the most popular artist, 410 00:22:58,640 --> 00:23:01,719 Speaker 1: and especially those who appeal to the younger listeners. I mean, 411 00:23:01,760 --> 00:23:05,879 Speaker 1: young people love Beyonce, love Chance, the rappers who won 412 00:23:05,920 --> 00:23:09,359 Speaker 1: a bunch of awards last night, The Oscars, and and 413 00:23:09,400 --> 00:23:11,840 Speaker 1: to a lesser extent, the Emmys, which award h D 414 00:23:11,920 --> 00:23:14,920 Speaker 1: the best in TV, tend to see to this to 415 00:23:15,240 --> 00:23:18,920 Speaker 1: definitely to an older, wealthier viewer. So I have more 416 00:23:19,000 --> 00:23:21,960 Speaker 1: faith in the Grammys maintaining their credibility. The problem with 417 00:23:22,000 --> 00:23:23,879 Speaker 1: the Grammys is that they always give the awards to 418 00:23:23,960 --> 00:23:26,560 Speaker 1: kind of a white pop act. So there was a 419 00:23:26,600 --> 00:23:28,600 Speaker 1: lot of chatter last night about how for the past 420 00:23:28,640 --> 00:23:33,240 Speaker 1: five years you've had a white pop star beating what 421 00:23:33,280 --> 00:23:36,080 Speaker 1: many would say was a more deserving artist in R 422 00:23:36,119 --> 00:23:38,639 Speaker 1: and B or in rap. Kendrick Lamar has lost. Beyonce's 423 00:23:38,640 --> 00:23:40,800 Speaker 1: lost a couple of times, and at some point the 424 00:23:40,800 --> 00:23:43,359 Speaker 1: Record Academy is going to have to come to grips 425 00:23:43,400 --> 00:23:46,520 Speaker 1: with that. Did you have a party last night while 426 00:23:46,560 --> 00:23:50,520 Speaker 1: you watched it? I was in the back room at 427 00:23:50,560 --> 00:23:52,879 Speaker 1: the show. I then attempted to go to one of 428 00:23:52,920 --> 00:23:55,919 Speaker 1: the labels after parties, and the weight outside was so 429 00:23:56,000 --> 00:23:58,520 Speaker 1: bad that I went Luca's shop. Bloomberg News, thank you 430 00:23:58,520 --> 00:24:13,080 Speaker 1: so much for joining us. Brian Shapata is here with 431 00:24:13,200 --> 00:24:16,359 Speaker 1: us in our Bloomberg eleven three oh studio in New York. 432 00:24:16,400 --> 00:24:19,480 Speaker 1: He reports on bonds for Bloomberg News and wrote a 433 00:24:19,560 --> 00:24:23,600 Speaker 1: story to that published today about just how much selling 434 00:24:23,680 --> 00:24:26,919 Speaker 1: there has been by China and Japan in the past 435 00:24:27,040 --> 00:24:30,200 Speaker 1: few months. And you know, Brian, first, I just want 436 00:24:30,200 --> 00:24:32,560 Speaker 1: to get a sense from you how much of this 437 00:24:32,720 --> 00:24:36,960 Speaker 1: selling is being driven by concerns about the new US 438 00:24:37,040 --> 00:24:40,920 Speaker 1: president and how much is being driven by concerns at 439 00:24:40,960 --> 00:24:44,280 Speaker 1: home where these nations need to drum up money to 440 00:24:44,359 --> 00:24:47,160 Speaker 1: support their economies. Yeah, it's a little bit of both, 441 00:24:47,160 --> 00:24:49,199 Speaker 1: in the sense that you know, you've got Donald Trump 442 00:24:49,280 --> 00:24:52,000 Speaker 1: is the new president, and of course the markets are 443 00:24:52,280 --> 00:24:56,199 Speaker 1: reacting to this through the reflation trade. Yields jumped up 444 00:24:56,880 --> 00:24:59,320 Speaker 1: quite a bit right in November after you got elected. 445 00:25:00,040 --> 00:25:02,600 Speaker 1: And you know, if you're a Japanese investor, you don't 446 00:25:02,600 --> 00:25:04,520 Speaker 1: like to see those losses on your books when you 447 00:25:04,600 --> 00:25:09,120 Speaker 1: have the Bank of Japan essentially controlling interest rates, and 448 00:25:09,400 --> 00:25:12,400 Speaker 1: you know, you're just getting a flat return there. So uh, 449 00:25:12,680 --> 00:25:14,480 Speaker 1: for some of these investors, it seems like it's a 450 00:25:14,480 --> 00:25:17,600 Speaker 1: lot easier to just stay home. You know, you have 451 00:25:17,840 --> 00:25:21,480 Speaker 1: you know, easy money policy, whereas in the US, uh, 452 00:25:21,520 --> 00:25:24,159 Speaker 1: the idea that Trump's fiscal policy is gonna spur growth 453 00:25:24,280 --> 00:25:26,600 Speaker 1: is gonna spur you know, the Federal Reserve into action, 454 00:25:26,920 --> 00:25:28,760 Speaker 1: and then all of a sudden, you know you've got rising, 455 00:25:28,880 --> 00:25:31,560 Speaker 1: rising interest rates. Um hasn't really played out so far 456 00:25:31,600 --> 00:25:34,760 Speaker 1: this year. Yields are still mostly flat in the treasury market, 457 00:25:34,840 --> 00:25:37,000 Speaker 1: but the prospect that they could, you hire, is definitely 458 00:25:37,000 --> 00:25:39,240 Speaker 1: a concern. So who's gonna get burned if this trade 459 00:25:39,280 --> 00:25:41,400 Speaker 1: doesn't work out the way you describe in other words, 460 00:25:41,400 --> 00:25:43,240 Speaker 1: of it turns out that they're gonna go back in 461 00:25:43,320 --> 00:25:46,760 Speaker 1: and buy US treasuries, who's gonna get burned? Um? I 462 00:25:46,800 --> 00:25:49,160 Speaker 1: mean I think that if they go back and buy treasuries, 463 00:25:49,200 --> 00:25:53,080 Speaker 1: I think everyone is going to be happy because yields 464 00:25:53,080 --> 00:25:55,080 Speaker 1: will fall and there'll be a persistent amount of demand. 465 00:25:55,119 --> 00:25:59,520 Speaker 1: But it's really the foreign flows or something that people 466 00:25:59,560 --> 00:26:03,000 Speaker 1: are really keeping an eye on. Because Japan has one 467 00:26:03,040 --> 00:26:07,400 Speaker 1: point one trillion dollars of treasury holdings, China has another trillion. 468 00:26:07,800 --> 00:26:10,679 Speaker 1: It's a thirteen point one trillion dollar market and declining. 469 00:26:11,280 --> 00:26:15,000 Speaker 1: And China, right, I mean particularly yes, China is going 470 00:26:15,040 --> 00:26:19,040 Speaker 1: as there was not too long ago, right it was, 471 00:26:19,080 --> 00:26:21,440 Speaker 1: it was very high, um, but it's gone down quite 472 00:26:21,480 --> 00:26:24,320 Speaker 1: a bit. Fed's still a large holder, but even they're 473 00:26:24,359 --> 00:26:27,359 Speaker 1: talking about, you know, potential non reinvestment of their balance 474 00:26:27,400 --> 00:26:30,240 Speaker 1: sheet as well. So, uh, this pairing back of demand 475 00:26:30,720 --> 00:26:33,200 Speaker 1: and the treasury market is definitely something that is giving 476 00:26:33,600 --> 00:26:37,120 Speaker 1: some investors pause. Right. Well, and you were saying that 477 00:26:37,119 --> 00:26:39,600 Speaker 1: that people would be happy if they stopped selling or 478 00:26:39,640 --> 00:26:42,480 Speaker 1: they came back, but dave one one people one group 479 00:26:42,560 --> 00:26:45,560 Speaker 1: that would not be happy would be the banks. You 480 00:26:45,640 --> 00:26:49,560 Speaker 1: see that that increasingly banks are linked to the hip 481 00:26:49,840 --> 00:26:53,320 Speaker 1: with US treasury yields in a way that I mean, 482 00:26:53,359 --> 00:26:56,320 Speaker 1: have they ever been misconnected before? Well you have to 483 00:26:56,359 --> 00:26:58,959 Speaker 1: go back and run the analysis to figure it out. 484 00:26:59,040 --> 00:27:01,399 Speaker 1: It's clear though you look at the past several months 485 00:27:01,440 --> 00:27:04,080 Speaker 1: that the day to day kind of moves are definitely 486 00:27:04,160 --> 00:27:07,000 Speaker 1: having some effect. And it's understandable. I mean with the 487 00:27:07,000 --> 00:27:10,320 Speaker 1: financial companies who really have the concern about their ability 488 00:27:10,359 --> 00:27:12,399 Speaker 1: to make money because they after all, it depends on 489 00:27:12,680 --> 00:27:15,919 Speaker 1: what they can earn on their loans, their investments, and 490 00:27:15,960 --> 00:27:18,159 Speaker 1: what they pay out to their depositors what they call 491 00:27:18,240 --> 00:27:20,679 Speaker 1: the net interest margin. And for a lot of these banks, 492 00:27:20,680 --> 00:27:22,879 Speaker 1: we've seen it a narrow the last a few years 493 00:27:22,920 --> 00:27:25,600 Speaker 1: in this environment of low interest rates. So you know 494 00:27:25,640 --> 00:27:28,120 Speaker 1: the idea that you know, maybe bond yields go up 495 00:27:28,160 --> 00:27:31,600 Speaker 1: and loan rates go with them. You can understand why 496 00:27:31,640 --> 00:27:34,199 Speaker 1: there has been this focus with the financial stocks. And 497 00:27:34,240 --> 00:27:37,320 Speaker 1: actually today the financials are the best performers among the 498 00:27:37,359 --> 00:27:39,320 Speaker 1: eleven main industry groups in the S and P five, 499 00:27:39,840 --> 00:27:43,080 Speaker 1: So it's definitely playing out as we speak. I was 500 00:27:43,119 --> 00:27:45,600 Speaker 1: just looking at the shares of Goldman Sachs. They are 501 00:27:45,640 --> 00:27:48,600 Speaker 1: the biggest mover in the Doubt runs industrial average, I believe, 502 00:27:49,080 --> 00:27:52,119 Speaker 1: up more than one and a half percent. You know, 503 00:27:52,200 --> 00:27:54,959 Speaker 1: I have to wonder, Brian, going back to your story, 504 00:27:55,600 --> 00:27:59,159 Speaker 1: so we as you mentioned, we have seen yields pretty flat, 505 00:27:59,280 --> 00:28:02,400 Speaker 1: if not down this year from where they were from 506 00:28:02,400 --> 00:28:06,160 Speaker 1: the peaks in December. Who's coming in and buying them? 507 00:28:06,240 --> 00:28:09,360 Speaker 1: Why is there so or where is this support coming from? Well, 508 00:28:09,400 --> 00:28:11,800 Speaker 1: I mean at a certain point you have to realize 509 00:28:11,840 --> 00:28:17,520 Speaker 1: that the whole idea behind secular stagnation and demographics, um, 510 00:28:17,560 --> 00:28:20,560 Speaker 1: all those things are still here, even though there's a 511 00:28:20,600 --> 00:28:23,199 Speaker 1: lot of focus on Donald Trump and potentially being a 512 00:28:23,200 --> 00:28:25,840 Speaker 1: game changer. I mean, ultimately, a lot of these structural 513 00:28:25,880 --> 00:28:29,399 Speaker 1: elements in the economy are still in play. And you know, 514 00:28:29,440 --> 00:28:32,040 Speaker 1: a two point five percent on the tenure treasury. I 515 00:28:32,040 --> 00:28:35,680 Speaker 1: mean that's something that we haven't really seen since. So 516 00:28:35,920 --> 00:28:38,880 Speaker 1: you know, a lot of a lot of investors are saying, 517 00:28:38,960 --> 00:28:41,200 Speaker 1: you know, it's time to start, you know, putting some 518 00:28:41,280 --> 00:28:44,440 Speaker 1: money back to work here, even if they are still 519 00:28:44,480 --> 00:28:49,040 Speaker 1: being quite cautious. Nothing like having people follow a move 520 00:28:49,800 --> 00:28:53,080 Speaker 1: into a record territory rights nothing, nothing like that. Thanks 521 00:28:53,200 --> 00:28:56,600 Speaker 1: very much, Brian Schappatz, our bond reporter, for a Bloomberg 522 00:28:56,760 --> 00:29:00,480 Speaker 1: great story on the Bloomberg about the sail off in treasury. 523 00:29:06,120 --> 00:29:08,600 Speaker 1: Thanks for listening to the Bloomberg P and L podcast. 524 00:29:08,960 --> 00:29:12,760 Speaker 1: You can subscribe and listen to interviews at iTunes, SoundCloud, 525 00:29:12,960 --> 00:29:17,160 Speaker 1: or whatever podcast platform you prefer. I'm pim Fox. I'm 526 00:29:17,160 --> 00:29:20,120 Speaker 1: out there on Twitter at pim Fox. I'm out there 527 00:29:20,120 --> 00:29:23,440 Speaker 1: on Twitter at Lisa Abramo. It's one before the podcast. 528 00:29:23,440 --> 00:29:34,560 Speaker 1: You can always catch us worldwide on Bloomberg Radio. P 529 00:29:34,720 --> 00:29:36,600 Speaker 1: and L is brought to you by Proper Cloth, a 530 00:29:36,720 --> 00:29:40,200 Speaker 1: leader in men's custom shirts. 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