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 --> 00:00:33,360 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. I 7 00:00:33,360 --> 00:00:35,800 Speaker 1: wonder bring to Eric Beltuna, senior et F analysts for 8 00:00:35,800 --> 00:00:39,600 Speaker 1: Bloomberg Intelligence, what are you seeing with respect to e 9 00:00:39,760 --> 00:00:43,440 Speaker 1: t F flows and how instructive are they with respect 10 00:00:43,520 --> 00:00:48,239 Speaker 1: to just how panicked investors have gotten? Yes, so I'm 11 00:00:48,240 --> 00:00:51,960 Speaker 1: seeing a lot of red naturally. Um, you know, maybe 12 00:00:52,120 --> 00:00:54,320 Speaker 1: you could call it a blood bath. In terms of Spy, 13 00:00:55,080 --> 00:00:58,640 Speaker 1: Spy has lost about twenty three billion in a week. Um, 14 00:00:58,680 --> 00:01:00,000 Speaker 1: you know, in a couple of days of eight bill 15 00:01:00,000 --> 00:01:03,200 Speaker 1: I in. So what this tells me is a lot 16 00:01:03,320 --> 00:01:06,040 Speaker 1: of this sort of trading crowd, the hot money, as 17 00:01:06,040 --> 00:01:09,400 Speaker 1: I call it, is really spooked. And Spy took in 18 00:01:09,400 --> 00:01:12,080 Speaker 1: about twenty million in January, which helps ets blows go 19 00:01:12,120 --> 00:01:15,000 Speaker 1: bonkers in the on the inside. But when the sell 20 00:01:15,080 --> 00:01:18,679 Speaker 1: off started, Spy got hit hard as usual. Um, what 21 00:01:18,760 --> 00:01:20,679 Speaker 1: I look for is deeper than spy. What are the 22 00:01:20,720 --> 00:01:22,880 Speaker 1: allocators doing? And that's why I look for I v V. 23 00:01:23,440 --> 00:01:26,240 Speaker 1: I v V is the cheap version that advisors love 24 00:01:26,360 --> 00:01:29,920 Speaker 1: right of the smpts. And it's starting to see a 25 00:01:29,920 --> 00:01:32,120 Speaker 1: little trickle of red. It see it saw inflows hunt 26 00:01:32,160 --> 00:01:34,000 Speaker 1: on Monday, believe it or not, and it is like 27 00:01:34,040 --> 00:01:36,840 Speaker 1: a machine of inflows. But even it is starting to 28 00:01:36,880 --> 00:01:39,000 Speaker 1: see a little red And to me, that's almost more 29 00:01:40,200 --> 00:01:42,360 Speaker 1: would make me more nervous is when you see something 30 00:01:42,400 --> 00:01:46,600 Speaker 1: like that or Vanguard ets start to see outflows, that 31 00:01:46,840 --> 00:01:49,560 Speaker 1: is a that's a whole bigger issue. Because spies used 32 00:01:49,640 --> 00:01:51,960 Speaker 1: like just like futures contract for a lot of people. 33 00:01:52,280 --> 00:01:54,080 Speaker 1: They go in and out all the time. It's like 34 00:01:54,120 --> 00:01:56,000 Speaker 1: a hotel. But when you see it on the more 35 00:01:56,040 --> 00:01:59,040 Speaker 1: buy and hold ets, I think it's a little more concerning. Well, 36 00:01:59,120 --> 00:02:01,480 Speaker 1: so do you come on in here, because I'm wondering 37 00:02:01,640 --> 00:02:05,520 Speaker 1: and you are there other gauges of flows that sort 38 00:02:05,560 --> 00:02:09,320 Speaker 1: of indicate whether or not uh there is mass selling 39 00:02:09,400 --> 00:02:11,840 Speaker 1: or whether this is just uh sort of around the 40 00:02:12,000 --> 00:02:16,080 Speaker 1: edges macro bets. I mean there's a difference, Yeah, there is, 41 00:02:16,240 --> 00:02:19,519 Speaker 1: and certainly there are plenty of numbers around that point. 42 00:02:19,560 --> 00:02:23,560 Speaker 1: In that direction. Bank of America Merrill Lynch had their 43 00:02:23,720 --> 00:02:29,160 Speaker 1: weekly update out today. You know, they're talking about thirty 44 00:02:29,240 --> 00:02:34,040 Speaker 1: point six billion dollar outflow from equity funds. Now they're 45 00:02:34,080 --> 00:02:36,720 Speaker 1: relying I think on data from ep f R to 46 00:02:36,880 --> 00:02:39,640 Speaker 1: do that, uh, and they're talking about half a billion 47 00:02:39,680 --> 00:02:42,360 Speaker 1: dollars coming out of gold, which is particularly interesting because, 48 00:02:42,400 --> 00:02:45,119 Speaker 1: let's face it, you know, when you've seen these sort 49 00:02:45,120 --> 00:02:48,920 Speaker 1: of upheaval that markets and have gone through the past, 50 00:02:49,040 --> 00:02:51,640 Speaker 1: especially when you look at stocks, I mean, people have 51 00:02:51,760 --> 00:02:54,880 Speaker 1: tended to run to areas where they see relative safety, 52 00:02:54,880 --> 00:02:57,040 Speaker 1: and gold has been among them. And gold have been 53 00:02:57,200 --> 00:03:00,440 Speaker 1: down this week, which is really saying something about how 54 00:03:00,480 --> 00:03:02,680 Speaker 1: people are looking at the precious metal and you're seeing 55 00:03:02,720 --> 00:03:05,400 Speaker 1: outflows on top of that, I'll just point out that 56 00:03:05,840 --> 00:03:09,720 Speaker 1: they tracked four billion dollars going into bonds. So even 57 00:03:09,760 --> 00:03:13,000 Speaker 1: with the higher yields that we're seeing, uh, it hasn't 58 00:03:13,000 --> 00:03:16,799 Speaker 1: really deterred investors from sort of moving money in there, 59 00:03:16,800 --> 00:03:20,280 Speaker 1: because remember, those higher yields mean bonds have been falling 60 00:03:20,280 --> 00:03:24,960 Speaker 1: in value. Eric, can you explain the technical process that 61 00:03:25,040 --> 00:03:29,079 Speaker 1: takes place during the trading day that causes most screens 62 00:03:29,120 --> 00:03:31,360 Speaker 1: to light up like Christmas trees at the end of 63 00:03:31,440 --> 00:03:38,360 Speaker 1: trading and the relationship between exchange traded funds in their positions. Well, look, 64 00:03:38,400 --> 00:03:39,600 Speaker 1: I mean at the end of the day, you have 65 00:03:39,680 --> 00:03:42,280 Speaker 1: a lot of trading going on UM and some ets 66 00:03:42,360 --> 00:03:45,720 Speaker 1: have to re balance. UM. In that whole horrible Vick 67 00:03:45,840 --> 00:03:48,320 Speaker 1: situation that happened earlier this week, that's where a lot 68 00:03:48,360 --> 00:03:51,560 Speaker 1: of that happened on the rebalance. But a stock ets 69 00:03:51,680 --> 00:03:55,360 Speaker 1: are they don't own all that much and they don't rebalance, 70 00:03:56,760 --> 00:04:00,360 Speaker 1: They rebound quarterly. So it's the Vics ones rebound Bailey, 71 00:04:00,440 --> 00:04:02,920 Speaker 1: So UM, it's I don't think it's that big of 72 00:04:02,960 --> 00:04:03,920 Speaker 1: a deal. I just think you have a lot of 73 00:04:03,920 --> 00:04:05,840 Speaker 1: trading at Didner day across the board. One thing I 74 00:04:05,880 --> 00:04:08,600 Speaker 1: just want to comment on what Da've just said in gold, 75 00:04:08,640 --> 00:04:11,960 Speaker 1: which I find fascinating, is you know gold is zero 76 00:04:12,040 --> 00:04:15,880 Speaker 1: correlation to the market, not negative or inverse, and so 77 00:04:16,000 --> 00:04:19,120 Speaker 1: it might it like just does its marches could have 78 00:04:19,160 --> 00:04:21,880 Speaker 1: beat of its own drummer, and it was going up 79 00:04:21,920 --> 00:04:25,360 Speaker 1: a lot during the past year, even when stocks are rallying, 80 00:04:25,400 --> 00:04:27,479 Speaker 1: and now you have the opposite where we are seeing 81 00:04:27,520 --> 00:04:30,719 Speaker 1: flows that I think also contributes to nervous investors. Is 82 00:04:31,160 --> 00:04:34,480 Speaker 1: SHV the one to three month Treasury ETF and Bill. 83 00:04:34,920 --> 00:04:36,520 Speaker 1: I mean these are the shortest of this. This is 84 00:04:36,560 --> 00:04:39,600 Speaker 1: a mattress. Basically, those two funds have taken in some money. 85 00:04:39,600 --> 00:04:41,440 Speaker 1: They're rarely on the top ten lists and they are 86 00:04:42,120 --> 00:04:44,680 Speaker 1: yesterday and t LT saw some money. So I do 87 00:04:44,800 --> 00:04:48,599 Speaker 1: think treasuries are where most people go. And it's really panic. 88 00:04:48,680 --> 00:04:51,840 Speaker 1: Gold is a little more performance based. That's really fascinating 89 00:04:51,880 --> 00:04:53,360 Speaker 1: to me. And it makes a lot of sense if 90 00:04:53,360 --> 00:04:56,159 Speaker 1: you think about it. Uh, And this morning I was thinking, 91 00:04:56,200 --> 00:05:00,040 Speaker 1: you know, if everything re prices down, that's awesome for 92 00:05:00,520 --> 00:05:03,159 Speaker 1: true bond investors because that means you can actually buy 93 00:05:03,160 --> 00:05:05,520 Speaker 1: stuff with higher yields. I mean, it's like, this is 94 00:05:05,560 --> 00:05:08,279 Speaker 1: a good thing if you are sort of continuing to 95 00:05:08,360 --> 00:05:10,760 Speaker 1: rotate money in so all of a sudden cash might 96 00:05:10,800 --> 00:05:15,520 Speaker 1: start paying. Fascinating. Dave Wilson, Bloomberg SAX editor, columnist and 97 00:05:15,720 --> 00:05:18,760 Speaker 1: blocker at M Live go on the Bloomberg Thank you 98 00:05:18,800 --> 00:05:21,039 Speaker 1: so much. Eric Valcinas, thank you so much for joining 99 00:05:21,040 --> 00:05:37,920 Speaker 1: a senior et F analyst for Bloomberg Intelligence. Well, it 100 00:05:38,040 --> 00:05:42,960 Speaker 1: seems like the lessons learned are of dubious quality. Right now, 101 00:05:43,000 --> 00:05:45,839 Speaker 1: I'm just looking at one of the funds, the short 102 00:05:46,000 --> 00:05:49,599 Speaker 1: Volatility funds that blew up or lost a lot of 103 00:05:49,600 --> 00:05:52,919 Speaker 1: its value in the recent turmoil. Well, people are pouring 104 00:05:53,040 --> 00:05:56,359 Speaker 1: money back in. Here to talk about it is Nick Colas, 105 00:05:56,400 --> 00:05:59,520 Speaker 1: co founder of Data Check Research LLC, which is based 106 00:05:59,560 --> 00:06:03,360 Speaker 1: in New York, also a Bloomberg prophet. Nick, what's going 107 00:06:03,480 --> 00:06:06,360 Speaker 1: on here? If people just not learn their lesson the 108 00:06:06,400 --> 00:06:10,200 Speaker 1: short answers, No, they apparently have not. The longer answer is, 109 00:06:10,320 --> 00:06:13,600 Speaker 1: I guess you know, if you liked shorting volatility at ten, 110 00:06:13,680 --> 00:06:16,520 Speaker 1: you've gotta love shorting volatility at thirty on the VIX. 111 00:06:17,000 --> 00:06:19,320 Speaker 1: And so you're right. Money is just poured back into 112 00:06:19,360 --> 00:06:21,599 Speaker 1: this fund. Obviously the x I V went away or 113 00:06:21,640 --> 00:06:24,520 Speaker 1: is closing, so there's fewer funds in which to focus 114 00:06:24,600 --> 00:06:26,599 Speaker 1: this money in. S v X Y is really getting 115 00:06:26,640 --> 00:06:29,479 Speaker 1: the benefit um, But you know it worked for a 116 00:06:29,480 --> 00:06:31,520 Speaker 1: few minutes this morning at least s v X I 117 00:06:31,600 --> 00:06:34,719 Speaker 1: was up. No, we're talking about the pro shares short 118 00:06:35,000 --> 00:06:39,200 Speaker 1: VIX short term futures fund s v X Why so, 119 00:06:39,360 --> 00:06:42,320 Speaker 1: what are you looking at? Is this really really just 120 00:06:42,400 --> 00:06:45,760 Speaker 1: a purely technical driven sell off in the stock market 121 00:06:46,160 --> 00:06:49,000 Speaker 1: due to a number of different factors that will just 122 00:06:49,040 --> 00:06:51,279 Speaker 1: sort of stop at some point and everybody will go 123 00:06:51,320 --> 00:06:53,719 Speaker 1: back about their business or is there something more here? No, 124 00:06:53,880 --> 00:06:56,440 Speaker 1: there's probably something more here. It's a it's a combination 125 00:06:56,480 --> 00:06:59,400 Speaker 1: of two factors. The first is obviously fundamental and where 126 00:06:59,440 --> 00:07:01,960 Speaker 1: whereas in action going this year? Where a long term 127 00:07:02,400 --> 00:07:05,040 Speaker 1: rates going this year? And what effect does that have evaluation? 128 00:07:05,080 --> 00:07:07,640 Speaker 1: We started see that discussion shape up just two weeks ago, 129 00:07:08,120 --> 00:07:10,480 Speaker 1: and then we kind of had it squared or cubed 130 00:07:10,840 --> 00:07:13,920 Speaker 1: when we saw the inverse volatility funds blow up and 131 00:07:13,960 --> 00:07:16,000 Speaker 1: that became more of a market structure issue. But the 132 00:07:16,040 --> 00:07:19,000 Speaker 1: combination has obviously been very damaging. And the one thing 133 00:07:19,040 --> 00:07:21,200 Speaker 1: I'd say is, you know, the VIX is often a 134 00:07:21,240 --> 00:07:24,000 Speaker 1: good indicator of fear, but it's not a great indicator 135 00:07:24,040 --> 00:07:26,840 Speaker 1: of market bottoms if you look back at prior cycles. 136 00:07:27,160 --> 00:07:29,200 Speaker 1: When the VIX bottoms, you've got to wait a month 137 00:07:29,320 --> 00:07:33,120 Speaker 1: or two or three before the market actually turns. So 138 00:07:33,240 --> 00:07:35,400 Speaker 1: to the direction of the VIX that actually matters the 139 00:07:35,440 --> 00:07:39,160 Speaker 1: stocks more than just raw fear. So too late to sell, 140 00:07:39,240 --> 00:07:42,760 Speaker 1: too early to buy. Yes, that was the way we 141 00:07:42,800 --> 00:07:45,320 Speaker 1: headed off our client note last night, and that's very 142 00:07:45,400 --> 00:07:47,680 Speaker 1: much the way it feels, all right, And when it 143 00:07:47,720 --> 00:07:51,560 Speaker 1: does become time to buy any particular areas you'd be 144 00:07:51,600 --> 00:07:55,360 Speaker 1: focused on. Yeah, technology and financials two areas that we 145 00:07:55,480 --> 00:07:58,760 Speaker 1: think do definitely still hold up. The one thing I'm 146 00:07:58,760 --> 00:08:01,800 Speaker 1: really waiting for in terms a market flush is technology 147 00:08:01,800 --> 00:08:03,840 Speaker 1: to really sell off. I mean, tech has held up 148 00:08:03,880 --> 00:08:06,800 Speaker 1: extremely well in a rising rate environment and there's no 149 00:08:06,880 --> 00:08:10,600 Speaker 1: reason why it should. High pea stocks should sufferers interest 150 00:08:10,680 --> 00:08:13,600 Speaker 1: rates rise, and they really haven't. So that'll, for me, 151 00:08:13,640 --> 00:08:15,320 Speaker 1: will be the sign of a bottom, but also a 152 00:08:15,360 --> 00:08:18,520 Speaker 1: good entry point. So what do you look at every 153 00:08:18,600 --> 00:08:22,720 Speaker 1: day as kind of a key leading indicator as to 154 00:08:22,840 --> 00:08:25,560 Speaker 1: how equity markets are going to behave? The one thing 155 00:08:25,600 --> 00:08:27,120 Speaker 1: I look at, which I don't see a lot of 156 00:08:27,120 --> 00:08:30,800 Speaker 1: other people looking at yet, is something very simple Google Trends, 157 00:08:31,120 --> 00:08:33,120 Speaker 1: which is a free tool online that allows you to 158 00:08:33,160 --> 00:08:35,400 Speaker 1: see how many people are searching for a given term, 159 00:08:35,800 --> 00:08:38,160 Speaker 1: And in this case, the term stock market is a 160 00:08:38,240 --> 00:08:40,600 Speaker 1: very useful term because it tells you how much retail 161 00:08:40,720 --> 00:08:43,679 Speaker 1: is paying attention to the current market volatility. In particular, 162 00:08:43,760 --> 00:08:46,040 Speaker 1: it tells you how you might open the next day. So, 163 00:08:46,120 --> 00:08:48,920 Speaker 1: for example, yesterday we didn't get anywhere near the amount 164 00:08:48,920 --> 00:08:51,200 Speaker 1: of attention on the stock market from Google searches that 165 00:08:51,240 --> 00:08:54,120 Speaker 1: we did back on Monday, Less than half actually, which 166 00:08:54,160 --> 00:08:56,400 Speaker 1: told me that retail for whatever reason, was not tuned 167 00:08:56,440 --> 00:08:59,240 Speaker 1: into the market coming down yesterday, and sure enough we 168 00:08:59,280 --> 00:09:01,760 Speaker 1: had a very good it open. What I do fear 169 00:09:01,880 --> 00:09:04,400 Speaker 1: is that as you see market termino will continue, those 170 00:09:04,480 --> 00:09:07,080 Speaker 1: numbers will go higher and higher, and retail will eventually 171 00:09:07,120 --> 00:09:10,120 Speaker 1: sell in that tradition is what creates the bottom. Can 172 00:09:10,160 --> 00:09:12,720 Speaker 1: you talk a little bit about how you deploy capital 173 00:09:12,760 --> 00:09:16,720 Speaker 1: at a time when perhaps you believe that the market 174 00:09:17,080 --> 00:09:20,199 Speaker 1: is near a bottom, and I'm talking about not being 175 00:09:20,240 --> 00:09:22,880 Speaker 1: a hero here, Yeah, I mean, the one thing I'll 176 00:09:22,880 --> 00:09:25,080 Speaker 1: say is I mean in this business thirty years and 177 00:09:25,080 --> 00:09:27,240 Speaker 1: I've had good friends get fired at the bottom of 178 00:09:27,280 --> 00:09:30,400 Speaker 1: every cycle because they thought they knew better than the market. 179 00:09:30,520 --> 00:09:34,480 Speaker 1: So my key takeaway is you're right, don't be a hero. 180 00:09:34,679 --> 00:09:38,840 Speaker 1: Allocate capital very sparsely as markets go through these churned 181 00:09:38,880 --> 00:09:42,559 Speaker 1: phases and downward moves, because remember that a capital allocated 182 00:09:42,600 --> 00:09:45,880 Speaker 1: anywhere near bottom is very high velocity capital, and it 183 00:09:45,920 --> 00:09:47,959 Speaker 1: can really help or it can kill you. So that 184 00:09:48,240 --> 00:09:51,400 Speaker 1: key takeaway is be extremely careful, do not try to 185 00:09:51,480 --> 00:09:54,840 Speaker 1: time and bottom edge into positions over time, take off 186 00:09:54,920 --> 00:09:57,720 Speaker 1: risk if you're overexposed, and live for the long term. 187 00:09:58,000 --> 00:10:01,840 Speaker 1: So if your sense is that tail investors are not 188 00:10:02,000 --> 00:10:05,720 Speaker 1: the ones panicking right now, who is I mean other 189 00:10:05,760 --> 00:10:10,600 Speaker 1: than the you know, sort of short vix funds. We 190 00:10:10,640 --> 00:10:14,880 Speaker 1: did see the biggest ever weekly withdrawal from US equity funds. 191 00:10:14,920 --> 00:10:19,160 Speaker 1: Who's pulling their money? I think it is basically everybody 192 00:10:19,720 --> 00:10:23,920 Speaker 1: in retail is definitely definitely pulling some of it um. 193 00:10:23,960 --> 00:10:28,079 Speaker 1: But it is also hedge funds are a manage money, 194 00:10:28,200 --> 00:10:31,719 Speaker 1: financial advisor, manage money. It's everybody that got way too 195 00:10:31,760 --> 00:10:33,920 Speaker 1: exposed to risk in the first part of the year, 196 00:10:34,400 --> 00:10:38,320 Speaker 1: uh and basically got caught offsides and has to reduce risk. 197 00:10:39,800 --> 00:10:43,440 Speaker 1: So if you are a veteran of markets, can you 198 00:10:43,480 --> 00:10:48,320 Speaker 1: share with us the maybe behavioral characteristics, so the things 199 00:10:48,440 --> 00:10:53,920 Speaker 1: you do that will mitigate that kind of emotional response 200 00:10:54,400 --> 00:10:56,200 Speaker 1: to when things are not going the way you want. 201 00:10:56,240 --> 00:10:59,480 Speaker 1: I keep thinking of Phil Fisher, uh, long time you know, 202 00:11:00,200 --> 00:11:02,360 Speaker 1: expert in the world of bonds, and he would always 203 00:11:02,360 --> 00:11:04,200 Speaker 1: say that, you know, when you see market turmoil, go 204 00:11:04,240 --> 00:11:07,720 Speaker 1: out to the movies, because that keeps you away from 205 00:11:07,760 --> 00:11:10,880 Speaker 1: the desire to keep doing something. Sometimes the idea is 206 00:11:10,960 --> 00:11:14,480 Speaker 1: just step away. Stepping away is excellent advice. And I'll 207 00:11:14,520 --> 00:11:16,640 Speaker 1: tell you a little story many years ago. I work 208 00:11:16,720 --> 00:11:19,520 Speaker 1: for Stevie Cohen, from whom I learned a tremendous amount, 209 00:11:19,600 --> 00:11:22,520 Speaker 1: and when things weren't going his way, he would ask 210 00:11:22,559 --> 00:11:24,640 Speaker 1: his wife to bring his kids in for lunch, and 211 00:11:24,679 --> 00:11:26,720 Speaker 1: he would just take an hour, hour and a half break, 212 00:11:26,920 --> 00:11:30,400 Speaker 1: sit in the cafeteria downstairs and have lunch with his 213 00:11:30,480 --> 00:11:32,760 Speaker 1: kids and his family. And that I got the sense 214 00:11:32,760 --> 00:11:34,760 Speaker 1: that that really kind of resentered him and took him 215 00:11:34,760 --> 00:11:37,320 Speaker 1: away from the screen, even though he was obviously a 216 00:11:37,400 --> 00:11:40,840 Speaker 1: very active trader. So I have seen that process work 217 00:11:40,840 --> 00:11:44,080 Speaker 1: in the past with very successful people. I'm trying to 218 00:11:44,160 --> 00:11:47,640 Speaker 1: understand the dynamic. What is driving the selling right now? 219 00:11:47,679 --> 00:11:49,959 Speaker 1: I mean, you say everyone, and I understand that people 220 00:11:49,960 --> 00:11:53,600 Speaker 1: got over exposed, but there really is not that much. 221 00:11:53,600 --> 00:11:58,880 Speaker 1: I mean, there was one unexpectedly good payrolls number after 222 00:11:59,000 --> 00:12:03,079 Speaker 1: that one, is it? Yeah? So here's the thing, you know, 223 00:12:03,120 --> 00:12:05,720 Speaker 1: the narrative around inflation has been floating around for the 224 00:12:05,760 --> 00:12:08,080 Speaker 1: better part of a year. The narrative around central banks 225 00:12:08,080 --> 00:12:11,720 Speaker 1: pulling back quantitative easing and doing quantitative tiding has been 226 00:12:11,720 --> 00:12:14,680 Speaker 1: around for well over a year. And since literacy rates 227 00:12:14,679 --> 00:12:16,320 Speaker 1: are so high in the US, I think we all 228 00:12:16,360 --> 00:12:21,199 Speaker 1: assume that people understood those topics, but we everybody had 229 00:12:21,200 --> 00:12:24,000 Speaker 1: this nagging feeling like there was going to be a reckoning. 230 00:12:24,440 --> 00:12:26,800 Speaker 1: And so while there was capital coming into the market, 231 00:12:26,840 --> 00:12:30,199 Speaker 1: it wasn't comfortable capital, wasn't confident capital. It was capital 232 00:12:30,240 --> 00:12:32,800 Speaker 1: that was there because everybody else was there. And you know, 233 00:12:32,920 --> 00:12:34,960 Speaker 1: like all the best parties in nightclubs, when they start 234 00:12:35,000 --> 00:12:37,800 Speaker 1: to clear out, they clear out really fast, and when 235 00:12:37,800 --> 00:12:39,800 Speaker 1: they turn on the lights, it's not pretty. No, you 236 00:12:39,840 --> 00:12:41,320 Speaker 1: never want to be there when the turn lights start 237 00:12:41,360 --> 00:12:43,199 Speaker 1: get turned on. All right, Who you think is most 238 00:12:43,240 --> 00:12:46,320 Speaker 1: at risk right now in terms of equities or in 239 00:12:46,400 --> 00:12:50,319 Speaker 1: terms of investors, well either way. So in terms of equities, 240 00:12:50,360 --> 00:12:52,720 Speaker 1: tech is code and most exposed. I mean, I can't 241 00:12:52,840 --> 00:12:55,160 Speaker 1: reiterate that enough. This is supposed to be a higher 242 00:12:55,160 --> 00:12:58,400 Speaker 1: than one beta group. It has huge valuations and you 243 00:12:58,440 --> 00:13:00,040 Speaker 1: can send that all the way into venture cap. But 244 00:13:00,080 --> 00:13:02,560 Speaker 1: all if we continue to see market turmoil, venture capital 245 00:13:02,640 --> 00:13:04,320 Speaker 1: is going to have a really tough time getting I 246 00:13:04,400 --> 00:13:06,240 Speaker 1: p o s out of the door, getting deals done, 247 00:13:06,400 --> 00:13:08,760 Speaker 1: and you're gonna see a lot of down rounds. That's 248 00:13:08,760 --> 00:13:11,800 Speaker 1: the biggest area in terms of investors. I worry that 249 00:13:11,880 --> 00:13:14,680 Speaker 1: investors that have coming in the past five years. Younger investors, 250 00:13:14,720 --> 00:13:17,400 Speaker 1: millennial investors who have never seen it down in market. 251 00:13:17,880 --> 00:13:20,160 Speaker 1: They're gonna be brave for a little while, but you know, 252 00:13:20,200 --> 00:13:22,480 Speaker 1: it's always that new money that creates the bottom, and 253 00:13:22,520 --> 00:13:24,440 Speaker 1: they will do it just like every other generation has 254 00:13:24,440 --> 00:13:28,479 Speaker 1: done it. Thanks very much sharing your insight and your experience. 255 00:13:28,559 --> 00:13:32,839 Speaker 1: Nikola's co founder Data trakt Research, and I want to 256 00:13:32,880 --> 00:13:35,960 Speaker 1: congratulate you on the creation of Data tract Research and 257 00:13:36,000 --> 00:13:51,360 Speaker 1: of your new company. Now let's get informed about the 258 00:13:51,400 --> 00:13:54,520 Speaker 1: world of logistics and shipping. We have Lee Classgow He's 259 00:13:54,520 --> 00:13:59,840 Speaker 1: our senior transport logistics and shipping analyst for Bloomberg Intelligence. 260 00:14:00,320 --> 00:14:04,120 Speaker 1: Lee always a pleasure tell us about Amazon. Is Amazon 261 00:14:04,240 --> 00:14:08,880 Speaker 1: really a threat to FedEx and ups? A threat might 262 00:14:08,920 --> 00:14:11,720 Speaker 1: be a little overkilled. Maybe on the margin, UM, they could, 263 00:14:11,960 --> 00:14:15,560 Speaker 1: you know, take some share away from FedEx neups, But 264 00:14:15,640 --> 00:14:18,000 Speaker 1: the longer term, we don't see it as a systemic 265 00:14:18,080 --> 00:14:22,600 Speaker 1: risk to the parcel industry. There was an announcement today 266 00:14:22,960 --> 00:14:26,000 Speaker 1: UM following a report in the Wall Street Journal that 267 00:14:26,080 --> 00:14:28,360 Speaker 1: notes that that the Amazon was going to do a 268 00:14:28,400 --> 00:14:32,200 Speaker 1: parcel deliver delivery in the l A area UM for 269 00:14:32,440 --> 00:14:36,920 Speaker 1: people in companies that are not on Amazon's network. UM. 270 00:14:37,040 --> 00:14:40,480 Speaker 1: Some might view this as competition for UPS and FedEx, 271 00:14:40,480 --> 00:14:43,560 Speaker 1: and some also might view it as Amazon looking for 272 00:14:43,640 --> 00:14:47,760 Speaker 1: ways to get more companies into their Fulfillment by Amazon program. 273 00:14:48,240 --> 00:14:53,080 Speaker 1: How expensive is this type of program the Amazon is proposing, Well, 274 00:14:53,120 --> 00:14:57,200 Speaker 1: that's a great question. Um, there are really no answer 275 00:14:57,280 --> 00:15:00,240 Speaker 1: because they're not throwing much money at this is at 276 00:15:00,320 --> 00:15:02,240 Speaker 1: least as it seems, and it looks like they're looking 277 00:15:02,280 --> 00:15:04,840 Speaker 1: to do an asset light model, meaning that they're not 278 00:15:04,880 --> 00:15:07,880 Speaker 1: going to own the trucks and the drivers, um, they'll 279 00:15:08,440 --> 00:15:11,680 Speaker 1: outsource that that type of work and where they'll do 280 00:15:11,840 --> 00:15:16,960 Speaker 1: the sorting. Um. So it's really unclear on you know, 281 00:15:17,000 --> 00:15:19,000 Speaker 1: what the costs would be for them, because I would 282 00:15:19,040 --> 00:15:21,880 Speaker 1: assume that they're going to leverage their current facilities that 283 00:15:21,920 --> 00:15:25,560 Speaker 1: they have for their for their for their fulfillment businesses 284 00:15:26,040 --> 00:15:29,120 Speaker 1: um and just kind of a delivered deliver out of there. 285 00:15:29,200 --> 00:15:32,680 Speaker 1: So it's going to cost people. But you know, you're 286 00:15:32,680 --> 00:15:35,160 Speaker 1: also going to have more technology, You're gonna have to 287 00:15:35,160 --> 00:15:39,560 Speaker 1: have relationships with these uh contracted drivers, and you need 288 00:15:39,760 --> 00:15:42,120 Speaker 1: you know, a steady flow of drivers and and and 289 00:15:42,560 --> 00:15:45,320 Speaker 1: with the labor market tightening, um, that's probably not going 290 00:15:45,360 --> 00:15:47,640 Speaker 1: to be uh, it's probably gonna be easier said than done. 291 00:15:47,720 --> 00:15:50,960 Speaker 1: I would could this end up being beneficial for say 292 00:15:51,000 --> 00:15:53,720 Speaker 1: FedEx and UPS because at some point Amazon may have 293 00:15:53,800 --> 00:15:56,280 Speaker 1: to come back to them at least their drivers and 294 00:15:56,360 --> 00:15:59,560 Speaker 1: their trucks. Yeah, and that's that's a great question. I mean, 295 00:15:59,600 --> 00:16:02,400 Speaker 1: you have are are kind of thought, is that you know, 296 00:16:03,040 --> 00:16:06,280 Speaker 1: Amazon is two and a half percent call it of 297 00:16:06,400 --> 00:16:10,560 Speaker 1: UPS as sales, maybe two of their sales, and a 298 00:16:10,760 --> 00:16:13,560 Speaker 1: less than one percent of FedEx, so they're not there. 299 00:16:13,600 --> 00:16:16,360 Speaker 1: They're a huge customer of both FedEx and UPS. But 300 00:16:16,520 --> 00:16:19,680 Speaker 1: if Amazon went away tomorrow, it wouldn't be you know, 301 00:16:19,840 --> 00:16:21,920 Speaker 1: the end of the world for those companies because to 302 00:16:21,960 --> 00:16:24,600 Speaker 1: the growth of e commerce. But but Amazon, you know, 303 00:16:24,680 --> 00:16:28,240 Speaker 1: needs to to kind of tread lightly here because you know, 304 00:16:28,280 --> 00:16:31,560 Speaker 1: if they if fed X and NEUPS see that Amazon 305 00:16:31,680 --> 00:16:33,920 Speaker 1: is going head to head with them, they might not 306 00:16:34,240 --> 00:16:36,560 Speaker 1: you know, want to necessarily carry their products during the 307 00:16:36,600 --> 00:16:39,760 Speaker 1: peak season, which you know, Amazon really needs the parcel 308 00:16:39,840 --> 00:16:42,200 Speaker 1: industry for help when it comes to they can't just 309 00:16:42,280 --> 00:16:44,920 Speaker 1: rely on the US Postal Service lead. Just to put 310 00:16:44,960 --> 00:16:48,240 Speaker 1: this into context, I understand that FedEx operates about six 311 00:16:48,320 --> 00:16:51,720 Speaker 1: hundred and fifty aircraft and UPS has a fleet of 312 00:16:51,760 --> 00:16:55,600 Speaker 1: over two hundred and forty aircraft. That's pretty substantial. That's 313 00:16:55,600 --> 00:16:58,320 Speaker 1: not something you can just put together in a week, right. 314 00:16:58,360 --> 00:17:00,520 Speaker 1: And you know Amazon has been in the new with 315 00:17:00,520 --> 00:17:03,120 Speaker 1: with you know, leasing of a bunch of aircraft, and 316 00:17:03,200 --> 00:17:05,800 Speaker 1: you know that's really more for their linehole business, so 317 00:17:06,000 --> 00:17:08,359 Speaker 1: meaning that you know, they're willing to take more the 318 00:17:08,480 --> 00:17:12,240 Speaker 1: logistics in house, which is completely normal for retailer or 319 00:17:12,320 --> 00:17:16,080 Speaker 1: consumer products company. You know, Walmart and PepsiCo, for example, 320 00:17:16,119 --> 00:17:19,119 Speaker 1: have the largest trucking fleets in the United States, you know, 321 00:17:19,200 --> 00:17:22,159 Speaker 1: larger than many public trucking companies. UM, so that's kind 322 00:17:22,200 --> 00:17:24,760 Speaker 1: of a normal part of their business. You know, they 323 00:17:25,080 --> 00:17:28,480 Speaker 1: want to rely as less as they possibly can on 324 00:17:28,520 --> 00:17:32,000 Speaker 1: the outside world for their supply chain UM and then 325 00:17:32,160 --> 00:17:35,080 Speaker 1: leverage the great networks of FedEx ups have built over 326 00:17:35,080 --> 00:17:38,160 Speaker 1: the decades. UH. And the UPS is a case over 327 00:17:38,200 --> 00:17:42,320 Speaker 1: a hundred years UM to UH to deliver packages for 328 00:17:42,359 --> 00:17:44,840 Speaker 1: the final final mile and and maybe a little longer 329 00:17:44,920 --> 00:17:46,879 Speaker 1: than that as well. Really real quick, do you have 330 00:17:46,880 --> 00:17:50,439 Speaker 1: a sense of timing with this type of program, the 331 00:17:50,440 --> 00:17:53,120 Speaker 1: timing of the program of when Amazon could could roll 332 00:17:53,160 --> 00:17:55,000 Speaker 1: this kind of thing. Oh, it's gonna it's I mean 333 00:17:55,080 --> 00:17:58,199 Speaker 1: we're talking they're just opening in in l A. So 334 00:17:58,240 --> 00:18:01,679 Speaker 1: it's one city. Uh, it's going to take probably a 335 00:18:01,760 --> 00:18:05,480 Speaker 1: year to really be fully ramped up to cover a 336 00:18:05,560 --> 00:18:08,320 Speaker 1: city of that large. Uh. And we'll see, you know, 337 00:18:08,359 --> 00:18:11,399 Speaker 1: where the other pilot programs go from there. Um and 338 00:18:11,400 --> 00:18:16,760 Speaker 1: if they're really successful kind of migrating more UH retailers 339 00:18:16,800 --> 00:18:19,640 Speaker 1: onto their fulfillment platform. Lee Glasgow, thank you so much 340 00:18:19,640 --> 00:18:23,359 Speaker 1: for joining us. Lee Glasgow, Senior Transport Logistics and shipping 341 00:18:23,400 --> 00:18:40,760 Speaker 1: analysts for Bloomberg Intelligence. There are many popular narratives about 342 00:18:40,800 --> 00:18:45,320 Speaker 1: this week's sell off in US equities, among them jitters 343 00:18:45,440 --> 00:18:49,560 Speaker 1: concerns over the deepening US deficit. But is this really 344 00:18:50,000 --> 00:18:53,320 Speaker 1: truly what's behind the scenes going on here? Ward McCarthy 345 00:18:53,359 --> 00:18:56,400 Speaker 1: joins us right now. He's chief financial economist at Jefferies 346 00:18:56,440 --> 00:18:59,040 Speaker 1: and Co. In New York. Ward, thank you so much 347 00:18:59,119 --> 00:19:02,280 Speaker 1: for being with us. So about this deepening deficit? How 348 00:19:02,400 --> 00:19:05,440 Speaker 1: much is that what's behind all of the activity this week? 349 00:19:06,400 --> 00:19:09,159 Speaker 1: I think it's part of there a big picture that 350 00:19:09,320 --> 00:19:13,080 Speaker 1: is changing in material ways from what we've had for 351 00:19:13,119 --> 00:19:18,040 Speaker 1: a number of years. Here. What we're seeing is that 352 00:19:18,160 --> 00:19:23,280 Speaker 1: monetary policy accommodation is being withdrawn. It's being replaced with 353 00:19:23,960 --> 00:19:27,680 Speaker 1: fiscal accommodation to try to support the economy. But one 354 00:19:27,720 --> 00:19:32,560 Speaker 1: of the consequences of both the fiscal accommodation and the 355 00:19:32,600 --> 00:19:35,879 Speaker 1: withdrawal of monetary accommodation is that the Treasury is going 356 00:19:35,920 --> 00:19:39,240 Speaker 1: to have to borrow a whole lot more money. We 357 00:19:39,480 --> 00:19:44,280 Speaker 1: estimate in fiscaleen For example, the Treasury is going to 358 00:19:44,359 --> 00:19:47,399 Speaker 1: have to raise an additional four hundred and fifty billion 359 00:19:47,520 --> 00:19:50,080 Speaker 1: over what it did last year, So that will mean 360 00:19:50,119 --> 00:19:53,919 Speaker 1: we'll have to raise about nine hundred and fifty billion dollars. So, uh, 361 00:19:54,119 --> 00:19:56,639 Speaker 1: that's going to put some stresses on the bond market 362 00:19:56,680 --> 00:20:00,280 Speaker 1: and we're already seeing that. Well four and fifty billion ward. 363 00:20:00,359 --> 00:20:02,800 Speaker 1: Isn't that sort of the amount that the Federal Reserve 364 00:20:02,880 --> 00:20:06,800 Speaker 1: is drawing down its balance sheet? Well, that's part of 365 00:20:07,040 --> 00:20:11,280 Speaker 1: the part of what the Fed is um driving down. 366 00:20:11,359 --> 00:20:14,920 Speaker 1: Accounts for this increase in borrowing, but keep in mind, 367 00:20:15,000 --> 00:20:18,760 Speaker 1: the Treasury also needs to fund the tax cuts that 368 00:20:18,800 --> 00:20:21,919 Speaker 1: were passed in December, and they also have to fund 369 00:20:21,920 --> 00:20:26,360 Speaker 1: the increased spending from the budget that was passed. Uh, well, 370 00:20:26,400 --> 00:20:30,480 Speaker 1: I guess early, really early this morning. So that's the 371 00:20:30,600 --> 00:20:32,840 Speaker 1: draw down in the Fed balance sheet is part of 372 00:20:32,880 --> 00:20:35,639 Speaker 1: that four and fifty billion. It's not all of it, okay, 373 00:20:35,680 --> 00:20:37,600 Speaker 1: So where can you clear up something for me? A 374 00:20:37,640 --> 00:20:40,680 Speaker 1: lot of people are saying that if we don't get inflation, 375 00:20:41,160 --> 00:20:45,320 Speaker 1: yields can't rise that far. Is that a fallacy? Can 376 00:20:45,359 --> 00:20:49,000 Speaker 1: we see yields rise substantially due to the supply demand 377 00:20:49,080 --> 00:20:54,040 Speaker 1: dynamic regardless of inflation. Oh, you can see rates rise. 378 00:20:54,119 --> 00:20:57,280 Speaker 1: It's always just a question of how much we are 379 00:20:57,320 --> 00:21:01,160 Speaker 1: seeing signs that inflation is going to creep. I we've 380 00:21:01,160 --> 00:21:02,960 Speaker 1: been in and one and a half to two percent 381 00:21:03,040 --> 00:21:06,480 Speaker 1: inflation range. I think this year we're going to find 382 00:21:06,520 --> 00:21:09,440 Speaker 1: ourselves by the third quarter in the two and a 383 00:21:09,480 --> 00:21:13,919 Speaker 1: half to three percent inflation range. But the increases in 384 00:21:13,960 --> 00:21:16,720 Speaker 1: the auction sizes over a period of time, which is 385 00:21:16,720 --> 00:21:19,199 Speaker 1: what the Treasury is going to do, is going to 386 00:21:19,280 --> 00:21:24,440 Speaker 1: start to strain the the market's resources, and that alone 387 00:21:24,720 --> 00:21:30,040 Speaker 1: will result in higher rates because higher rates are going 388 00:21:30,080 --> 00:21:34,400 Speaker 1: to be required to attract the investor. Bit what if 389 00:21:34,400 --> 00:21:36,960 Speaker 1: you were to look into the future, into the world 390 00:21:37,000 --> 00:21:40,320 Speaker 1: of people perhaps not born or just the young adults 391 00:21:40,440 --> 00:21:42,560 Speaker 1: right now, what do you think the picture looks like 392 00:21:42,640 --> 00:21:47,320 Speaker 1: in about ten years. Well, I think that we are 393 00:21:47,440 --> 00:21:51,960 Speaker 1: seeing some important structural changes in the economy that I 394 00:21:52,000 --> 00:21:57,000 Speaker 1: think will make for a better labor market than we 395 00:21:57,040 --> 00:21:59,600 Speaker 1: have seen over the past ten years, even though it 396 00:21:59,640 --> 00:22:05,080 Speaker 1: has been improving quite substantially. My primary concern is that 397 00:22:05,160 --> 00:22:09,560 Speaker 1: the US fiscal situation is in the process of deteriorating 398 00:22:09,680 --> 00:22:13,320 Speaker 1: so much that ten years from now it could be 399 00:22:13,520 --> 00:22:17,920 Speaker 1: a significant impediment to the us UH. To date, the 400 00:22:18,160 --> 00:22:21,760 Speaker 1: US has been, you know, profligate on the fiscal side, 401 00:22:22,160 --> 00:22:25,479 Speaker 1: but we have looked relatively good compared with some of 402 00:22:25,520 --> 00:22:28,760 Speaker 1: the competitors, like say Europe, for example. But if You're 403 00:22:29,040 --> 00:22:33,320 Speaker 1: continues to get his act together, um, then we are 404 00:22:33,400 --> 00:22:36,160 Speaker 1: not going to get the free pass that we've had 405 00:22:36,200 --> 00:22:38,879 Speaker 1: for such a long time here. Or where do you 406 00:22:38,920 --> 00:22:41,040 Speaker 1: expect ten your yields in the US to be at 407 00:22:41,040 --> 00:22:43,439 Speaker 1: the end of the year. Well, I think they're going 408 00:22:43,480 --> 00:22:46,000 Speaker 1: to be higher. You know. Trying to figure out exactly 409 00:22:46,040 --> 00:22:48,680 Speaker 1: how much higher they're going to be is is somewhat 410 00:22:48,720 --> 00:22:52,399 Speaker 1: difficult to say, um, but I think that we'll probably 411 00:22:52,440 --> 00:22:55,119 Speaker 1: see them up around somewhere between three and a quarter 412 00:22:55,200 --> 00:22:57,320 Speaker 1: and three and a half percent. Okay, So what's the 413 00:22:57,400 --> 00:23:02,120 Speaker 1: line in the sand for stocks, for riskier credit, What's 414 00:23:02,160 --> 00:23:04,600 Speaker 1: what's the level at which people say, you know, what 415 00:23:04,640 --> 00:23:06,840 Speaker 1: I'm getting paid for for putting my money in cash. 416 00:23:06,880 --> 00:23:09,719 Speaker 1: I'm getting paid for putting my money in government bonds. 417 00:23:10,160 --> 00:23:15,800 Speaker 1: I'm not gonna be in credit anymore. Well, the I 418 00:23:15,840 --> 00:23:18,120 Speaker 1: think what we'll see is that there will be more 419 00:23:18,160 --> 00:23:21,600 Speaker 1: of a differentiation in the type of credit. High credit 420 00:23:21,640 --> 00:23:24,439 Speaker 1: should continue to do really well because the economy is 421 00:23:24,480 --> 00:23:27,440 Speaker 1: doing very well, so that they'll still be appeal and 422 00:23:27,560 --> 00:23:32,879 Speaker 1: appeal to them the more credit credit worthy issues. I 423 00:23:32,920 --> 00:23:35,399 Speaker 1: think that what we might see is that investors that 424 00:23:35,560 --> 00:23:37,639 Speaker 1: to become a little bit more discerning in the types 425 00:23:37,680 --> 00:23:41,399 Speaker 1: of credits that they want, because it's the lower credit 426 00:23:41,440 --> 00:23:43,879 Speaker 1: types of companies that are going to struggle more as 427 00:23:43,960 --> 00:23:47,280 Speaker 1: the interest rates ries. So Ward McCarthy give you about 428 00:23:47,280 --> 00:23:49,439 Speaker 1: thirty seconds, what kind of credit paper and would you 429 00:23:49,480 --> 00:23:54,600 Speaker 1: not touch right now? Well, that's really not my area 430 00:23:54,800 --> 00:23:59,040 Speaker 1: of expertise. Um. I just think that you're better off 431 00:23:59,160 --> 00:24:02,679 Speaker 1: being in at some of the higher graded types of 432 00:24:02,720 --> 00:24:06,600 Speaker 1: issues than the lower graded types of issues. And it's 433 00:24:06,600 --> 00:24:09,560 Speaker 1: really not my place to pick specific issues. You know. 434 00:24:09,600 --> 00:24:12,520 Speaker 1: It's interesting, pim. I was looking at Teva Pharmaceuticals, which 435 00:24:12,600 --> 00:24:15,439 Speaker 1: just gave a pretty bleak forecast for the rest of 436 00:24:15,480 --> 00:24:18,200 Speaker 1: the year, and they have more than thirty billion dollars 437 00:24:18,200 --> 00:24:21,680 Speaker 1: of debt, and their bond prices are plummeting. They got 438 00:24:21,720 --> 00:24:25,920 Speaker 1: downgraded to junk uh and they're having to really pay up. 439 00:24:25,920 --> 00:24:28,240 Speaker 1: So they're going to have some some bonds I've got 440 00:24:28,240 --> 00:24:30,600 Speaker 1: to refinance this year. Will be interesting to see how 441 00:24:30,600 --> 00:24:33,320 Speaker 1: that goes. Yeah, and rates are higher and with exacparate 442 00:24:33,400 --> 00:24:36,560 Speaker 1: tax overhaul, that means that debt may not be as 443 00:24:36,640 --> 00:24:40,280 Speaker 1: profitable to issue from issuers. Thank you very much. Ward 444 00:24:40,359 --> 00:24:44,199 Speaker 1: McCarthy used financial economist Forecast Jeff. You can subscribe and 445 00:24:44,240 --> 00:24:48,240 Speaker 1: listen to interviews at Apple Podcasts, SoundCloud, or whatever podcast 446 00:24:48,240 --> 00:24:51,760 Speaker 1: platform you prefer. I'm pim Fox. I'm on Twitter at 447 00:24:51,920 --> 00:24:55,280 Speaker 1: pim Fox. I'm on Twitter at Lisa Abramo. It's one 448 00:24:55,520 --> 00:24:58,240 Speaker 1: before the podcast. You can always catch us worldwide on 449 00:24:58,280 --> 00:25:06,960 Speaker 1: Bluebirg Radio Katt the bo