1 00:00:09,520 --> 00:00:13,160 Speaker 1: Hello, and welcome to another episode of The Odd Lots Podcast. 2 00:00:13,280 --> 00:00:17,160 Speaker 1: I'm h and I'm Tracy Halloway. So, Tracy, it's a 3 00:00:17,560 --> 00:00:22,160 Speaker 1: been quite a year. Huh, that's one way of putting it. Yes, 4 00:00:23,239 --> 00:00:25,599 Speaker 1: a lot of a lot of things happened this year 5 00:00:25,720 --> 00:00:30,600 Speaker 1: that probably people wouldn't have necessarily predicted coming into this year. 6 00:00:31,200 --> 00:00:33,040 Speaker 1: I think we can be a bit stronger than that. 7 00:00:33,080 --> 00:00:34,920 Speaker 1: I think we can say a lot of crazy things 8 00:00:34,960 --> 00:00:37,120 Speaker 1: happened this year. All right, Yeah, I think you're right. 9 00:00:37,159 --> 00:00:39,199 Speaker 1: I think maybe I was understating a little bit, but 10 00:00:39,240 --> 00:00:41,159 Speaker 1: I just wanted to be I just wanted to be 11 00:00:41,200 --> 00:00:42,879 Speaker 1: on the right side of things. I wanted to be 12 00:00:42,920 --> 00:00:45,839 Speaker 1: sort of conservative. But yeah, it was pretty wild year. 13 00:00:46,200 --> 00:00:49,440 Speaker 1: And I feel confident in saying that for several years 14 00:00:49,479 --> 00:00:52,000 Speaker 1: down the road, people are going to be talking about 15 00:00:52,200 --> 00:00:56,320 Speaker 1: various events that transpired in the year. Yeah, the history 16 00:00:56,360 --> 00:00:59,760 Speaker 1: books will be looking back just like us, and there 17 00:01:00,120 --> 00:01:02,040 Speaker 1: probably all the historians are probably gonna be listening to 18 00:01:02,080 --> 00:01:05,560 Speaker 1: the Odd Lots Podcast really really get a sense of 19 00:01:05,560 --> 00:01:07,720 Speaker 1: what happened, don't you think, Yeah, we should bury this 20 00:01:07,800 --> 00:01:11,479 Speaker 1: in a time capsule, right, Yeah, I agree. So there's 21 00:01:11,520 --> 00:01:15,319 Speaker 1: obviously the obvious stories, you know, Brexit, Trump all that, 22 00:01:16,560 --> 00:01:19,600 Speaker 1: but they're probably also a lot of facets to these 23 00:01:19,640 --> 00:01:23,520 Speaker 1: stories and stories that people missed that we don't want 24 00:01:23,520 --> 00:01:27,160 Speaker 1: those historians to pass over and miss That's right, So 25 00:01:27,240 --> 00:01:30,320 Speaker 1: we are going to um do the historians work for them, 26 00:01:30,360 --> 00:01:32,240 Speaker 1: I guess, and try to dig up some of the 27 00:01:32,319 --> 00:01:35,959 Speaker 1: lesser known stories that happened this year, some things that really, 28 00:01:36,080 --> 00:01:39,800 Speaker 1: um maybe taught us a lesson or entertained us or 29 00:01:39,840 --> 00:01:42,360 Speaker 1: amused us in some way, or that we thought were 30 00:01:42,520 --> 00:01:46,480 Speaker 1: very important. So who do we have? So We've brought 31 00:01:46,560 --> 00:01:51,480 Speaker 1: together a bunch of folks from Bloomberg News who cover 32 00:01:52,240 --> 00:01:55,960 Speaker 1: various aspects of our world day in and day out. 33 00:01:56,080 --> 00:01:59,600 Speaker 1: It cover stories better than just about anyone in the world. 34 00:01:59,680 --> 00:02:02,560 Speaker 1: I guess I'm gonna I'll go around and introduce them, 35 00:02:03,080 --> 00:02:06,000 Speaker 1: and then we're going to talk to them about their 36 00:02:06,320 --> 00:02:09,320 Speaker 1: favorite stories of the year, so we can catch all 37 00:02:09,360 --> 00:02:11,799 Speaker 1: the stories that we might have missed. All right, So 38 00:02:11,880 --> 00:02:14,560 Speaker 1: let me, uh, let me go around the room. I'll start. 39 00:02:15,000 --> 00:02:17,440 Speaker 1: Ed Hammond is with us, Hey, Ed, how are you doing? 40 00:02:17,600 --> 00:02:22,400 Speaker 1: He covers deals at Bloomberg. We have Mike Reagan, who 41 00:02:22,600 --> 00:02:25,800 Speaker 1: is a veteran coverer. I don't think that's a word 42 00:02:26,440 --> 00:02:29,840 Speaker 1: journalists covering the market, particularly the stock market for a 43 00:02:29,840 --> 00:02:34,160 Speaker 1: long time. Who's leading a new blog venture here at Bloomberg. 44 00:02:34,280 --> 00:02:37,960 Speaker 1: Thanks for coming, Mike, Thanks for having me. Max Abelson 45 00:02:38,760 --> 00:02:44,440 Speaker 1: Wall Street, Wall Street, Uh, Wall Street whisper Wall Street reporter, 46 00:02:44,520 --> 00:02:48,520 Speaker 1: he gets a Wall Street to speak his mind, st 47 00:02:48,600 --> 00:02:51,920 Speaker 1: legend Wall Street. He stumbled on the word yeah, I 48 00:02:51,960 --> 00:02:56,880 Speaker 1: was going there was Wall Streets. Max A. Wolson Dan 49 00:02:56,960 --> 00:03:01,040 Speaker 1: Moss are top editor for economics coverge great to be 50 00:03:01,240 --> 00:03:03,680 Speaker 1: made a great prediction going into this year, which we'll 51 00:03:03,720 --> 00:03:06,560 Speaker 1: talk about, um what probably one of the best predictions 52 00:03:06,560 --> 00:03:10,120 Speaker 1: of the year. And Megan Murphy who led all of 53 00:03:10,360 --> 00:03:14,080 Speaker 1: Bloomberg's politics coverage this year and is now on a 54 00:03:14,200 --> 00:03:18,560 Speaker 1: new venture leading Business Week magazine. So thanks for joining us, Megan, 55 00:03:18,720 --> 00:03:21,160 Speaker 1: Thanks for having me. All right, So now that we 56 00:03:21,240 --> 00:03:24,400 Speaker 1: have all that out the way, let's talk about our 57 00:03:24,480 --> 00:03:27,960 Speaker 1: favorite stories this year. And uh, Ed, Let's start with you. 58 00:03:28,360 --> 00:03:32,560 Speaker 1: What was your favorite story of I'm not going to 59 00:03:32,639 --> 00:03:34,280 Speaker 1: go with the deal story. I was sort of tempted 60 00:03:34,320 --> 00:03:36,480 Speaker 1: to self grandize and go with the deal that we 61 00:03:36,480 --> 00:03:39,640 Speaker 1: had broken by I decided instead to go with the 62 00:03:39,680 --> 00:03:41,640 Speaker 1: story from July, which I partly like because it was 63 00:03:41,720 --> 00:03:43,480 Speaker 1: kind of in the summer when everything was quiet, and 64 00:03:43,520 --> 00:03:46,560 Speaker 1: it was the story of Brett Barner, who was the 65 00:03:46,600 --> 00:03:49,840 Speaker 1: hedge fund manager um at Louis Bacon's fund, and he 66 00:03:49,920 --> 00:03:52,000 Speaker 1: trashed his mansion out in the Hampton's and it was 67 00:03:52,040 --> 00:03:54,720 Speaker 1: just it was one of these classic you know, we 68 00:03:54,840 --> 00:03:57,640 Speaker 1: all sort of no hedge fund guys like that, and 69 00:03:57,760 --> 00:04:00,040 Speaker 1: they all pretend desperately that they're not a tool like that, 70 00:04:00,160 --> 00:04:02,120 Speaker 1: and they're actually very responsible and they do all this 71 00:04:02,200 --> 00:04:04,560 Speaker 1: charity stuff. But he did exactly what we all know 72 00:04:04,600 --> 00:04:07,200 Speaker 1: they really do, which was go to a mansion, spray 73 00:04:07,200 --> 00:04:11,400 Speaker 1: people with champagne, throw midgets in a swimming pool, um, 74 00:04:11,440 --> 00:04:14,480 Speaker 1: I think, leave the mansion in a pretty despicable state. 75 00:04:14,600 --> 00:04:17,440 Speaker 1: And then obviously he went on to NBC and defended 76 00:04:17,520 --> 00:04:20,440 Speaker 1: himself and said that it was all good fun, it 77 00:04:20,560 --> 00:04:23,159 Speaker 1: was harmless, that the midgets weren't actually there was sort 78 00:04:23,160 --> 00:04:26,280 Speaker 1: of paid entertainment. They were friends of his family. Uh. 79 00:04:26,360 --> 00:04:30,200 Speaker 1: And Louis macn um eventually fired him and I think 80 00:04:30,240 --> 00:04:32,719 Speaker 1: put out a statement which was sort of ridiculous, that's 81 00:04:32,800 --> 00:04:36,120 Speaker 1: something like his behavior was not consistent with the personal 82 00:04:36,160 --> 00:04:38,159 Speaker 1: views of the fun and it was just one of 83 00:04:38,200 --> 00:04:42,160 Speaker 1: these great, you know moments where it all kind of 84 00:04:42,880 --> 00:04:45,520 Speaker 1: it was all, um, what we think about these guys, 85 00:04:45,600 --> 00:04:48,160 Speaker 1: and as I say, they worked very hard to beat 86 00:04:48,200 --> 00:04:51,279 Speaker 1: anything but that, and it became incredibly public and it 87 00:04:51,320 --> 00:04:53,080 Speaker 1: was very foolish of him, I think, to go on 88 00:04:53,160 --> 00:04:56,320 Speaker 1: to the NBC and m making very limp case in 89 00:04:56,440 --> 00:04:59,480 Speaker 1: his defense. It was actual Wolf of Wall Street, right, 90 00:04:59,640 --> 00:05:02,560 Speaker 1: I think it was billed at the time. You know 91 00:05:02,600 --> 00:05:04,880 Speaker 1: what what's ironic about each using that story, ed, is 92 00:05:04,920 --> 00:05:06,440 Speaker 1: that one of the best stories of two thousand and 93 00:05:06,480 --> 00:05:11,039 Speaker 1: fifteen was his boss, Louie Bacon's unbelievable brawl with his 94 00:05:11,120 --> 00:05:13,000 Speaker 1: neighbor out in I think it was like the Bahamas, 95 00:05:13,120 --> 00:05:16,520 Speaker 1: Peter Peter and I guard and it was, oh man, 96 00:05:16,600 --> 00:05:18,760 Speaker 1: their fight was awful. You guys remember this. They accused 97 00:05:18,760 --> 00:05:21,919 Speaker 1: each other of murder, being in the Ku Klux Klan, 98 00:05:22,640 --> 00:05:26,480 Speaker 1: try dealing drugs. Louie Bacon and his neighbor really want 99 00:05:26,520 --> 00:05:29,280 Speaker 1: after each other. And uh that story And wasn't it 100 00:05:29,279 --> 00:05:31,719 Speaker 1: all because one was having potties like off the midnight? 101 00:05:31,920 --> 00:05:36,240 Speaker 1: It was? Indeed. Yeah. The other interesting thing about this 102 00:05:36,279 --> 00:05:38,080 Speaker 1: story is it's also kind of a story of about 103 00:05:38,200 --> 00:05:40,400 Speaker 1: like modern media and social media because it was all 104 00:05:40,400 --> 00:05:43,520 Speaker 1: over Instagram, right, so there probably is a time when 105 00:05:43,520 --> 00:05:47,080 Speaker 1: they could have had this party and then just paid 106 00:05:47,160 --> 00:05:49,440 Speaker 1: the owner of the house the clean up fee and 107 00:05:49,480 --> 00:05:51,320 Speaker 1: maybe some extra fee, and that would have been it. 108 00:05:51,760 --> 00:05:53,680 Speaker 1: But the fact that all these people came to the 109 00:05:53,720 --> 00:05:57,560 Speaker 1: party and posted about it on social media. Uh, and 110 00:05:57,640 --> 00:06:01,440 Speaker 1: so that that those images live forever really makes um 111 00:06:02,560 --> 00:06:05,320 Speaker 1: really makes it hard for these stories to remember. The 112 00:06:05,360 --> 00:06:10,240 Speaker 1: hashtag spray than which apparently is a thing, right who knew? 113 00:06:10,279 --> 00:06:14,000 Speaker 1: But apparently all these guys doing a sprayer thon, and 114 00:06:14,040 --> 00:06:16,320 Speaker 1: it was this kind of this great disconnect between the 115 00:06:16,360 --> 00:06:18,680 Speaker 1: behavior of the people there are apparently with the people there, 116 00:06:19,040 --> 00:06:20,719 Speaker 1: and what they were doing it for, which was apparently 117 00:06:20,760 --> 00:06:22,880 Speaker 1: to raise money for I think was it an animal 118 00:06:22,920 --> 00:06:25,400 Speaker 1: shelter like I Lost dog shelter or something, And yet 119 00:06:25,440 --> 00:06:27,320 Speaker 1: they were obviously doing things that were seen as some 120 00:06:27,880 --> 00:06:30,479 Speaker 1: overly debauched even by their employers standards. It was a 121 00:06:30,480 --> 00:06:32,400 Speaker 1: rental house too, I believe didn't you didn't you rent 122 00:06:32,440 --> 00:06:35,080 Speaker 1: the house? It was? And I think the sort of 123 00:06:35,120 --> 00:06:38,720 Speaker 1: the alternate version of the story, the one that Mr 124 00:06:38,800 --> 00:06:40,719 Speaker 1: Barnard came out with, was that the owner of the 125 00:06:40,760 --> 00:06:42,719 Speaker 1: house was just trying to shake him down for more money, 126 00:06:42,760 --> 00:06:44,480 Speaker 1: and the person who rented in the house and asked 127 00:06:44,480 --> 00:06:46,599 Speaker 1: for like twenty dollars in cash up front, and was 128 00:06:46,600 --> 00:06:48,520 Speaker 1: this kind of dodgy guy and had all these other 129 00:06:48,800 --> 00:06:50,480 Speaker 1: things going on. I think it was. It did come 130 00:06:50,480 --> 00:06:52,120 Speaker 1: out that the guy who rented in the house had 131 00:06:52,200 --> 00:06:54,279 Speaker 1: some problems of his own, But anyway, it was just 132 00:06:54,320 --> 00:06:55,920 Speaker 1: one of these great stories in the middle of the 133 00:06:55,960 --> 00:06:58,080 Speaker 1: summer and everything is normally quite quiet and flat, and 134 00:06:58,080 --> 00:07:00,760 Speaker 1: it's sort of it brightened up my July. And none 135 00:07:00,800 --> 00:07:02,880 Speaker 1: of us were invited. Is the worst part? That is? 136 00:07:03,080 --> 00:07:06,479 Speaker 1: That is the real worst part. Speak for yourself. Do 137 00:07:06,520 --> 00:07:08,800 Speaker 1: you think part of the reason why that story took 138 00:07:08,839 --> 00:07:12,120 Speaker 1: off was look in the middle of a campaign season, 139 00:07:13,640 --> 00:07:18,000 Speaker 1: you know, Wall Street vilified by more than one candidate, 140 00:07:18,400 --> 00:07:22,440 Speaker 1: and you know, just the midget throwing. It's almost like 141 00:07:22,480 --> 00:07:25,920 Speaker 1: a cliche. It's almost like, could this really be true? Wow, 142 00:07:25,920 --> 00:07:28,520 Speaker 1: it is actually true. I believe the official name of 143 00:07:28,560 --> 00:07:31,160 Speaker 1: the sport is dwarf tossing, not midget throwing. I just 144 00:07:31,240 --> 00:07:35,520 Speaker 1: want just for the record for the historians. Traditionally, this 145 00:07:35,640 --> 00:07:39,120 Speaker 1: kind of debauchery takes place at market tops, right, and 146 00:07:39,200 --> 00:07:43,680 Speaker 1: everyone just is so so flush with cash that they 147 00:07:43,800 --> 00:07:47,640 Speaker 1: decided to spend it on rented midgets or dwarves or um, 148 00:07:47,680 --> 00:07:50,520 Speaker 1: whatever term we choose. Well, what was the date, because 149 00:07:50,560 --> 00:07:53,520 Speaker 1: the bond market did peak on July eight, so maybe 150 00:07:53,520 --> 00:07:56,840 Speaker 1: we could go back to uh, maybe maybe that was 151 00:07:57,000 --> 00:07:59,800 Speaker 1: in fact the bottom of ten year yields. That would 152 00:07:59,800 --> 00:08:03,800 Speaker 1: be a great one. This was July seven. He got fired. 153 00:08:03,880 --> 00:08:05,640 Speaker 1: He got fired on the seventh. I think the party 154 00:08:05,760 --> 00:08:11,320 Speaker 1: was the weekend before. But why, in the political climate 155 00:08:11,920 --> 00:08:16,400 Speaker 1: that you know prevailed for much of this year, and 156 00:08:16,560 --> 00:08:20,640 Speaker 1: really the post financial crisis landscape, why would you give 157 00:08:21,240 --> 00:08:25,000 Speaker 1: your foes something like this to grab hold off. I 158 00:08:25,000 --> 00:08:29,120 Speaker 1: don't get it. That is that's the huge blunder. All right, Max, 159 00:08:29,280 --> 00:08:33,199 Speaker 1: let's stay on the Wall Street theme and uh, let's 160 00:08:33,240 --> 00:08:40,880 Speaker 1: talk to you. What was your favorite story of Business Week? 161 00:08:40,920 --> 00:08:43,360 Speaker 1: Does a good thing called the envy List where everyone 162 00:08:43,400 --> 00:08:46,360 Speaker 1: has to pick an article by someone outside of Bloomberg, 163 00:08:46,440 --> 00:08:48,760 Speaker 1: which is good because you know, if you flat of 164 00:08:48,800 --> 00:08:50,880 Speaker 1: your colleagues too much, you see it as a sucker. 165 00:08:51,120 --> 00:08:53,719 Speaker 1: So I picked some stories outside of Bloomberg that I 166 00:08:53,760 --> 00:08:56,960 Speaker 1: admired very much. One of them was about something that 167 00:08:57,000 --> 00:08:59,320 Speaker 1: I just I don't think I even really knew existed 168 00:08:59,320 --> 00:09:03,559 Speaker 1: before private prisons. Mother Jones did this four month investigation 169 00:09:03,720 --> 00:09:08,160 Speaker 1: into private prisons that was so good that basically the 170 00:09:08,520 --> 00:09:11,360 Speaker 1: Department of Justice within a few weeks after it was like, yeah, 171 00:09:11,440 --> 00:09:14,079 Speaker 1: we're not going to use private prisons any longer. And 172 00:09:14,360 --> 00:09:18,600 Speaker 1: the stock plummeted. And the amazing thing for me, besides 173 00:09:18,600 --> 00:09:21,200 Speaker 1: the fact that the story was just an incredible story, 174 00:09:21,520 --> 00:09:23,600 Speaker 1: because that it had all this effect and that, but 175 00:09:23,679 --> 00:09:27,120 Speaker 1: on the other hand, Trump won the election, of course 176 00:09:27,280 --> 00:09:30,080 Speaker 1: the stock went right back up to where it was 177 00:09:30,160 --> 00:09:34,080 Speaker 1: before for the Mother Jones investigation and private prisons came out. Yeah, Joe, 178 00:09:34,120 --> 00:09:37,000 Speaker 1: I remember we wrote that story right like the day 179 00:09:37,040 --> 00:09:40,920 Speaker 1: after Trump's win. We wrote the prison private prison stocks 180 00:09:40,920 --> 00:09:45,200 Speaker 1: were surging and the idea was maybe, um, the Justice 181 00:09:45,240 --> 00:09:46,920 Speaker 1: Department was going to back down on all of this. 182 00:09:47,520 --> 00:09:50,199 Speaker 1: It's it's incredible. I wonder what the writer, whose name 183 00:09:50,200 --> 00:09:52,120 Speaker 1: is Shane Bauer, I wonder what he thinks that he spent. 184 00:09:52,400 --> 00:09:54,720 Speaker 1: What he did is he got a job in a 185 00:09:54,760 --> 00:09:57,040 Speaker 1: private prison run by c c A. It's that the 186 00:09:57,280 --> 00:10:00,640 Speaker 1: Corrections Corporate America, although actually they just they just changed 187 00:10:00,640 --> 00:10:02,960 Speaker 1: their name to too Much. It has like it's called 188 00:10:03,000 --> 00:10:06,760 Speaker 1: like civics now something it's gotten very probably it has 189 00:10:06,800 --> 00:10:10,720 Speaker 1: very benign sounding name. So you know, afterwards, the Department 190 00:10:10,760 --> 00:10:13,959 Speaker 1: of Justice, the Inspector General Report came out with a 191 00:10:14,040 --> 00:10:16,520 Speaker 1: report that basically agreed with this guy's investigation. He got 192 00:10:16,520 --> 00:10:18,240 Speaker 1: a job in one of these prisons, and it is 193 00:10:18,360 --> 00:10:20,760 Speaker 1: it's a dark I really recommend everyone reads it very 194 00:10:20,880 --> 00:10:22,880 Speaker 1: very very depressing. It sounds like something from the wire. 195 00:10:23,360 --> 00:10:27,839 Speaker 1: It's really really bleak portrait of how untrained these guards are. 196 00:10:28,480 --> 00:10:32,480 Speaker 1: And you know, I assume the stock market pop because 197 00:10:32,480 --> 00:10:35,120 Speaker 1: Trump is going to reverse that decision and they're going 198 00:10:35,200 --> 00:10:36,800 Speaker 1: to go back to it. Yeah, those stocks really went 199 00:10:36,880 --> 00:10:39,840 Speaker 1: nuts the day after the election. On the other hand, 200 00:10:39,880 --> 00:10:41,559 Speaker 1: I just have to say two downs sixteen was such 201 00:10:41,600 --> 00:10:43,360 Speaker 1: a good year for business. Jersalm. I want to give 202 00:10:43,360 --> 00:10:44,720 Speaker 1: a quick shout out to a couple of other things 203 00:10:44,760 --> 00:10:47,920 Speaker 1: that I've loved. So because I'm a classy guy surrounded 204 00:10:47,920 --> 00:10:50,839 Speaker 1: by English people, I want to mention the London Review 205 00:10:50,840 --> 00:10:55,640 Speaker 1: of Books had a beautiful, beautiful piece about Satoshi and 206 00:10:55,880 --> 00:10:58,800 Speaker 1: it was by a guy named Andrew O'Hagan, the bitcoin founder. 207 00:10:58,880 --> 00:11:01,240 Speaker 1: The bitcoin founder. Though the question is what was this 208 00:11:01,240 --> 00:11:04,199 Speaker 1: guy the bitcoin founder. It's like the size of a novel. 209 00:11:04,280 --> 00:11:06,440 Speaker 1: It's like forty thou words. I think it must have 210 00:11:06,440 --> 00:11:09,880 Speaker 1: taken up all of the l RB that week. Also 211 00:11:09,920 --> 00:11:13,600 Speaker 1: a beautiful, beautiful story that's similar to that first one. 212 00:11:13,600 --> 00:11:15,600 Speaker 1: A little bit dissatisfying because you get to the end 213 00:11:15,600 --> 00:11:19,080 Speaker 1: of this monster monster piece and you're not quite sure 214 00:11:19,480 --> 00:11:21,839 Speaker 1: which way is up. But that's I think that's sort 215 00:11:21,880 --> 00:11:23,760 Speaker 1: of an accurate that's only you know, no one knows 216 00:11:23,760 --> 00:11:26,440 Speaker 1: which way is up in in bitcoin anyway. I mean, 217 00:11:27,360 --> 00:11:29,280 Speaker 1: I quickly have to say, my former New York Observer 218 00:11:29,360 --> 00:11:33,000 Speaker 1: colleague Gabe Sherman just went bonkers this year writing about 219 00:11:33,080 --> 00:11:36,959 Speaker 1: Fox Fox News, I mean basically single handedly costs the 220 00:11:37,480 --> 00:11:40,120 Speaker 1: top man his job. That's like a good example of 221 00:11:40,160 --> 00:11:42,320 Speaker 1: someone who just like owned a story for a long 222 00:11:42,400 --> 00:11:44,760 Speaker 1: time and then just like went to town and just 223 00:11:44,800 --> 00:11:49,160 Speaker 1: totally dominated it. And unless you had been following Fox 224 00:11:49,240 --> 00:11:51,560 Speaker 1: News as a beat for years, you could never have 225 00:11:51,640 --> 00:11:53,520 Speaker 1: done what he did. What's cool for me as a 226 00:11:53,600 --> 00:11:57,280 Speaker 1: journalist is that Gabe wrote a book about Fox News 227 00:11:57,280 --> 00:12:00,440 Speaker 1: a couple of years ago that said that Roger Ales 228 00:12:00,559 --> 00:12:03,480 Speaker 1: was basically creepy with women. But then the thing is, 229 00:12:03,520 --> 00:12:06,720 Speaker 1: nothing happened. The book sort of disappeared, and he stayed 230 00:12:06,760 --> 00:12:08,679 Speaker 1: on the beat for years after the book came out, 231 00:12:08,720 --> 00:12:10,760 Speaker 1: which you know, I whant to write a story, even 232 00:12:10,800 --> 00:12:12,520 Speaker 1: if I've only spent a couple of weeks on it 233 00:12:12,520 --> 00:12:14,080 Speaker 1: and it doesn't do well. I want to like, I 234 00:12:14,120 --> 00:12:15,840 Speaker 1: want to die. I want to crawl up under my 235 00:12:15,920 --> 00:12:19,400 Speaker 1: bed and not work ever again. But he's got sued 236 00:12:19,440 --> 00:12:22,240 Speaker 1: over that didn't something I don't. I don't think gig 237 00:12:22,280 --> 00:12:26,000 Speaker 1: got suit. No, Okay, well we've had to kind of 238 00:12:27,120 --> 00:12:32,040 Speaker 1: wall streety politics see things. Why don't we go over 239 00:12:32,160 --> 00:12:34,760 Speaker 1: Let's let's do Mike and let's have him maybe maybe 240 00:12:34,800 --> 00:12:36,600 Speaker 1: bring us a market story. I don't know, Mike, what 241 00:12:36,640 --> 00:12:39,400 Speaker 1: do you have for us? Well, this one's a little 242 00:12:39,440 --> 00:12:41,360 Speaker 1: bit out of left field, and and Max is going 243 00:12:41,400 --> 00:12:43,080 Speaker 1: to make me feel like a suck up here for 244 00:12:43,280 --> 00:12:46,240 Speaker 1: actually choosing a Timberg Business Week story. But it really 245 00:12:46,320 --> 00:12:49,280 Speaker 1: was my favorite story of the year, by Matthew Campbell 246 00:12:49,440 --> 00:12:53,400 Speaker 1: and Kit chill l It was about a Goldman Sachs 247 00:12:53,520 --> 00:12:58,040 Speaker 1: trader in Libya. He went to Tripoli and it was 248 00:12:58,120 --> 00:13:01,000 Speaker 1: right when sort of Libya's markets were ringing up. And 249 00:13:01,679 --> 00:13:04,120 Speaker 1: the story, if I were to pick one story of 250 00:13:04,160 --> 00:13:06,160 Speaker 1: the year that would sort of you could make a 251 00:13:06,160 --> 00:13:08,680 Speaker 1: feature film out of, this would be it. And it 252 00:13:08,760 --> 00:13:11,240 Speaker 1: starts off describing like you know what a lousy place 253 00:13:11,360 --> 00:13:13,600 Speaker 1: Libya is for a banker to do business. You know, 254 00:13:13,640 --> 00:13:18,040 Speaker 1: there's not many five star hotels, not many courbet restaurants, 255 00:13:18,520 --> 00:13:22,199 Speaker 1: but there is a sixty billion dollar sovereign Wealth fund UM. 256 00:13:22,280 --> 00:13:26,720 Speaker 1: And this trader, Yusef Cabbaje cozied up to the sovereign 257 00:13:26,800 --> 00:13:31,000 Speaker 1: Wealth fund and it was a good salesman. They the 258 00:13:31,040 --> 00:13:34,760 Speaker 1: story describes him as Goldman's basically their biggest rainmaker. He 259 00:13:35,400 --> 00:13:38,680 Speaker 1: got the Sovereign Wealth Fund to invest in a lot 260 00:13:38,720 --> 00:13:45,760 Speaker 1: of very risky equity, uh, derivative synthetic equity derivatives in 261 00:13:46,000 --> 00:13:49,560 Speaker 1: positions in banks, and the timing was really unfortunate. It 262 00:13:49,600 --> 00:13:54,160 Speaker 1: was right before the financial crisis, and very quickly these 263 00:13:54,160 --> 00:13:58,640 Speaker 1: positions just went south and uh he handed up losing 264 00:13:59,240 --> 00:14:01,520 Speaker 1: the sovereign wealth and ended up losing about one point 265 00:14:01,559 --> 00:14:05,160 Speaker 1: two billion dollars uh. And this guy basically had to 266 00:14:05,160 --> 00:14:08,760 Speaker 1: flee for his life out of Tripoli. And the reason 267 00:14:09,000 --> 00:14:10,960 Speaker 1: I think this year it's kind of interesting is because 268 00:14:11,640 --> 00:14:14,280 Speaker 1: the story came out at the same time as a 269 00:14:14,280 --> 00:14:17,960 Speaker 1: big discussion in the US about the fiduciary standard. Uh, 270 00:14:18,280 --> 00:14:23,040 Speaker 1: you know, should you hold brokers accountable obviously for mom 271 00:14:23,040 --> 00:14:26,560 Speaker 1: and pop retirees, and this case went to court this year. 272 00:14:26,600 --> 00:14:29,520 Speaker 1: Actually Goldman won the case. And you know, the argument 273 00:14:29,640 --> 00:14:33,760 Speaker 1: was should a sixty billion dollars sovereign wealth fund, you know, 274 00:14:33,960 --> 00:14:36,880 Speaker 1: shouldn't they be sophisticated enough to know what they're dealing with. 275 00:14:36,920 --> 00:14:39,320 Speaker 1: They they claimed that Goldman had sort of led them 276 00:14:39,320 --> 00:14:44,240 Speaker 1: astray with these uh, with these investments. UM. So fascinating story. 277 00:14:44,320 --> 00:14:46,840 Speaker 1: I encourage everyone to google it and hopefully it will 278 00:14:46,880 --> 00:14:50,320 Speaker 1: be a motion picture someday, if there's anyone from Hollywood listening. 279 00:14:52,080 --> 00:14:54,440 Speaker 1: So Goldman in the end, Um, they didn't get in 280 00:14:54,480 --> 00:14:58,080 Speaker 1: trouble for it, right they Yeah, they were cleared. Yeah, 281 00:14:58,120 --> 00:15:01,160 Speaker 1: they won the case. I mean it. You know, it's 282 00:15:01,480 --> 00:15:04,560 Speaker 1: dragged on for years. Obviously Kadafi was ousted and then 283 00:15:04,560 --> 00:15:09,680 Speaker 1: that that complicated things. But the verdict came uh police 284 00:15:09,760 --> 00:15:13,240 Speaker 1: it was in the fall around October, uh, and Goldman 285 00:15:13,280 --> 00:15:16,040 Speaker 1: actually prevailed. So fascinating. You know what I love about 286 00:15:16,080 --> 00:15:18,560 Speaker 1: stories like this is when we think of trading in 287 00:15:18,600 --> 00:15:22,640 Speaker 1: the year sixteen or seen. You just think of someone 288 00:15:22,720 --> 00:15:27,040 Speaker 1: behind a terminal looking at lots of screens with numbers 289 00:15:27,120 --> 00:15:31,760 Speaker 1: blinking green or red, uh, looking at charts and lines 290 00:15:31,840 --> 00:15:35,120 Speaker 1: on charts and going through spreadsheets, but any story that 291 00:15:35,200 --> 00:15:39,400 Speaker 1: involves legwork and having to say, hey, here's a huge 292 00:15:39,880 --> 00:15:42,440 Speaker 1: pile of money somewhere. It's in Libya, and I'm going 293 00:15:42,520 --> 00:15:45,120 Speaker 1: to get on a plane and try to get some 294 00:15:45,160 --> 00:15:47,160 Speaker 1: of it. And anything you know that's it's sort of 295 00:15:47,520 --> 00:15:50,800 Speaker 1: real is a good reminder that there is in finance, 296 00:15:50,840 --> 00:15:53,640 Speaker 1: there's still this sort of uh, you know, well literal 297 00:15:53,880 --> 00:15:57,560 Speaker 1: frontier market but sort of wild west frontier aspect to 298 00:15:57,600 --> 00:16:01,600 Speaker 1: it that if you have the sort of get on 299 00:16:01,640 --> 00:16:03,040 Speaker 1: a plan and try and get some of it, that 300 00:16:03,480 --> 00:16:05,960 Speaker 1: you can make money that way. Yeah. Matt Levine wrote 301 00:16:05,960 --> 00:16:08,560 Speaker 1: a column about it that was pretty interesting, basically saying 302 00:16:08,600 --> 00:16:11,520 Speaker 1: the sort of the salesmanship has been sucked out of 303 00:16:11,520 --> 00:16:15,840 Speaker 1: Wall Street because of computerized automated trading. Uh. And here's 304 00:16:15,880 --> 00:16:19,960 Speaker 1: an example of a good salesman, right for better or worse? 305 00:16:20,000 --> 00:16:22,040 Speaker 1: You know this what's and also what's fascinating to me 306 00:16:22,080 --> 00:16:25,000 Speaker 1: is this guy went from being considered, you know, Goldman's 307 00:16:25,040 --> 00:16:29,400 Speaker 1: top rainmaker too when everything went south, he was sort of, 308 00:16:29,760 --> 00:16:32,160 Speaker 1: you know, the biggest goat in the Goldman you know. 309 00:16:32,200 --> 00:16:35,280 Speaker 1: And and it's it's interesting how quickly your fortunes can 310 00:16:35,360 --> 00:16:37,360 Speaker 1: change on Wall Street. You know, one day, you're at 311 00:16:37,360 --> 00:16:39,760 Speaker 1: the top and then something goes wrong and you're you're 312 00:16:39,800 --> 00:16:42,240 Speaker 1: quickly find your way on the bottom. I wonder what 313 00:16:42,840 --> 00:16:45,680 Speaker 1: the hero or anti hero of that story would make 314 00:16:45,680 --> 00:16:49,000 Speaker 1: of the hotel scene in Tripoli right now. I mean 315 00:16:49,080 --> 00:16:52,600 Speaker 1: that was back when Libya had a government, right right, 316 00:16:52,640 --> 00:16:57,000 Speaker 1: So probably as rough as it is, that than significantly 317 00:16:57,120 --> 00:17:01,520 Speaker 1: rougher ye exactly accuately, the would be a few more opportunities. 318 00:17:02,360 --> 00:17:04,920 Speaker 1: That's a good point. I don't know what the golden 319 00:17:04,960 --> 00:17:07,720 Speaker 1: will to send an army over to investigate. We'll see, 320 00:17:08,200 --> 00:17:12,840 Speaker 1: all right. Megan Murphy, you had probably the most important 321 00:17:12,880 --> 00:17:19,480 Speaker 1: beat often as a leader of Bloomberg's politics coverage, obviously 322 00:17:20,240 --> 00:17:24,000 Speaker 1: the election of being the defining story of the year. 323 00:17:24,119 --> 00:17:28,800 Speaker 1: So as you look back at what was your favorite story, 324 00:17:29,000 --> 00:17:30,720 Speaker 1: I have to say this, just because I'm on with 325 00:17:30,720 --> 00:17:32,680 Speaker 1: with with Joe and Tracy, that I have picked out 326 00:17:32,680 --> 00:17:36,160 Speaker 1: a market's theme. Thank you. Um, it's probably like our 327 00:17:36,200 --> 00:17:39,720 Speaker 1: first one. So for me that it was really the 328 00:17:39,760 --> 00:17:43,760 Speaker 1: Mexican pay so because here's why, you know, when as 329 00:17:43,760 --> 00:17:46,960 Speaker 1: the politics editor of the cycle, I have to admit 330 00:17:47,040 --> 00:17:48,840 Speaker 1: that people will come to me with all sorts of crab. 331 00:17:49,000 --> 00:17:52,240 Speaker 1: You know, Oh, we're seeing a reaction and you know, 332 00:17:52,520 --> 00:17:55,160 Speaker 1: various different esoteric corners of the market as the sort 333 00:17:55,200 --> 00:17:59,000 Speaker 1: of Trump and Clinton uh punch off sort of lumbered along, 334 00:17:59,119 --> 00:18:00,760 Speaker 1: and we and we have to be you know, we 335 00:18:00,760 --> 00:18:03,119 Speaker 1: would always say to people that you know, even as 336 00:18:03,200 --> 00:18:05,760 Speaker 1: late as the summer, we weren't really seeing that much 337 00:18:05,760 --> 00:18:07,760 Speaker 1: impact in the market. We we felt that markets were 338 00:18:07,840 --> 00:18:10,560 Speaker 1: very late and sort of thinking about a Trump presidency 339 00:18:10,680 --> 00:18:13,119 Speaker 1: and pricing in the reality of this, and that market 340 00:18:13,160 --> 00:18:15,960 Speaker 1: seemed relatively calm, and so I have to admit that 341 00:18:16,000 --> 00:18:18,520 Speaker 1: we would we constantly sort of back back. I think 342 00:18:18,520 --> 00:18:20,159 Speaker 1: Tracy and I were probably some of the people that 343 00:18:20,240 --> 00:18:24,840 Speaker 1: came to random stories. But the one, sorry, Megan, the 344 00:18:25,040 --> 00:18:29,840 Speaker 1: one thing that was actually real was the Mexican pay 345 00:18:29,920 --> 00:18:32,480 Speaker 1: so and and just that sort of with you know 346 00:18:32,560 --> 00:18:36,560 Speaker 1: of Mexican uh, you know, exports going into the US 347 00:18:36,400 --> 00:18:39,280 Speaker 1: and watching that currency and watching how much I went 348 00:18:39,320 --> 00:18:41,159 Speaker 1: back this morning and actually was looking back at some 349 00:18:41,240 --> 00:18:43,320 Speaker 1: of the moments. So I'm talking moments when sort of 350 00:18:43,320 --> 00:18:47,240 Speaker 1: Trump's groping tape gets released. It's like Mexican PAYSA strengthens, 351 00:18:47,280 --> 00:18:50,040 Speaker 1: and there's all these bloomer headlines. It's like Mexican pasa 352 00:18:50,080 --> 00:18:54,879 Speaker 1: strengthens as groping video. It's released, and and and it 353 00:18:54,920 --> 00:18:56,600 Speaker 1: was fascinating to me because you know, I did the 354 00:18:56,600 --> 00:18:59,119 Speaker 1: election that coverage and on the night, you know, I 355 00:18:59,160 --> 00:19:02,679 Speaker 1: think the pay so fo what was it? And just watching, 356 00:19:02,760 --> 00:19:05,399 Speaker 1: you know, watching that and again it was it was 357 00:19:05,480 --> 00:19:08,440 Speaker 1: almost you know, it became such a barometer and such 358 00:19:08,480 --> 00:19:11,040 Speaker 1: a fun, I hate to say that, a very fun 359 00:19:11,160 --> 00:19:14,440 Speaker 1: indicator of where we were going after the debates and 360 00:19:14,800 --> 00:19:17,000 Speaker 1: every little moment in the Trump campaign when I think 361 00:19:17,000 --> 00:19:18,920 Speaker 1: about it, and became a running joke on my desk 362 00:19:19,080 --> 00:19:22,000 Speaker 1: is where's the Mexican pay So There's two things I 363 00:19:22,040 --> 00:19:25,040 Speaker 1: really like about the fact that the pace so became 364 00:19:25,080 --> 00:19:29,520 Speaker 1: the ultimate barometer for how the election was going. One, obviously, 365 00:19:29,680 --> 00:19:33,320 Speaker 1: I just amused at all these politics reporters having to 366 00:19:33,400 --> 00:19:38,400 Speaker 1: follows in my hands, but more importantly, not only politics 367 00:19:38,400 --> 00:19:42,000 Speaker 1: reporters having to follow a currency, but learning that when 368 00:19:42,040 --> 00:19:44,520 Speaker 1: the Mexican paceo goes down, the line on the chart 369 00:19:44,640 --> 00:19:46,560 Speaker 1: is going up, which must have known a bunch of 370 00:19:46,560 --> 00:19:50,040 Speaker 1: people's minds, because of course, the convention and currencies is 371 00:19:50,080 --> 00:19:54,400 Speaker 1: that in most cases are three exceptions. The dollar comes first, 372 00:19:54,400 --> 00:19:57,560 Speaker 1: so it's US d m x N, which means that 373 00:19:57,640 --> 00:20:00,960 Speaker 1: the traditional way you characterize that is to the dollar 374 00:20:01,119 --> 00:20:04,359 Speaker 1: rallying against the pace. So so I'm so happy that 375 00:20:04,480 --> 00:20:06,960 Speaker 1: all these politics reporters that have never thought about this 376 00:20:07,640 --> 00:20:12,320 Speaker 1: learned an important aspect of quote currency quoting conventions because 377 00:20:12,359 --> 00:20:16,120 Speaker 1: of this election. And some were very skeptical. Some were 378 00:20:16,200 --> 00:20:19,359 Speaker 1: very skeptical. Some were very skeptical. There's also a bit 379 00:20:19,400 --> 00:20:22,080 Speaker 1: of irony in that that weaker currency was, you know, 380 00:20:22,240 --> 00:20:24,879 Speaker 1: probably a really a good thing for Mexico's economy. Ultimately, 381 00:20:24,920 --> 00:20:27,960 Speaker 1: you know how many Americans are checking out Cabo now 382 00:20:28,000 --> 00:20:31,480 Speaker 1: for for spring break because it's so true. Mexico's manufacturing 383 00:20:31,480 --> 00:20:35,480 Speaker 1: competitiveness having increased because the currency plunged on Trump's wind 384 00:20:35,600 --> 00:20:39,840 Speaker 1: is the ultimate irony. And these were very, very sophisticated views. 385 00:20:39,920 --> 00:20:43,840 Speaker 1: I visited our colleagues in Mexico City Bureau in August, 386 00:20:44,520 --> 00:20:49,240 Speaker 1: and you know, almost without question, the economists, the officials, 387 00:20:49,440 --> 00:20:53,880 Speaker 1: the investors that we met, they all knew far more 388 00:20:53,920 --> 00:20:57,880 Speaker 1: about what had transpired in the campaign that day than 389 00:20:58,040 --> 00:21:02,040 Speaker 1: I did. Be going to breakfast at an investment bank 390 00:21:02,080 --> 00:21:04,480 Speaker 1: at seven o'clock, they had all read five thirty eight, 391 00:21:04,480 --> 00:21:06,960 Speaker 1: they had all read the daily two oh two. They 392 00:21:06,960 --> 00:21:10,080 Speaker 1: were all set for the day that well, I guess that. 393 00:21:10,280 --> 00:21:12,320 Speaker 1: I mean that gets to one of the interesting things, 394 00:21:12,520 --> 00:21:15,399 Speaker 1: um that I was thinking when we were watching them 395 00:21:15,440 --> 00:21:18,399 Speaker 1: pay so, is like I get how it became a 396 00:21:18,400 --> 00:21:22,520 Speaker 1: barometer for the election outcome. But on the other hand, 397 00:21:22,600 --> 00:21:26,000 Speaker 1: there's it was kind of weird that people just settled 398 00:21:26,119 --> 00:21:29,680 Speaker 1: on this one asset as the thing that they were 399 00:21:29,720 --> 00:21:33,119 Speaker 1: going to trade, um, the election with, right, because you 400 00:21:33,119 --> 00:21:36,440 Speaker 1: could have chosen all sorts of things you could have chosen, 401 00:21:36,760 --> 00:21:39,800 Speaker 1: you know, the betting market, for instance, is a more 402 00:21:39,840 --> 00:21:44,880 Speaker 1: direct thing, or bank stocks or drugs docks or anything. Well, 403 00:21:44,960 --> 00:21:49,520 Speaker 1: the Mexican paso is the most liquid, most actively traded 404 00:21:49,560 --> 00:21:53,680 Speaker 1: emerging market currency, so it kind of becomes a proxy 405 00:21:53,800 --> 00:21:57,000 Speaker 1: for emerging markets generally. And look the other country that 406 00:21:57,080 --> 00:22:00,199 Speaker 1: was in the crosshairs of Donald Trump, China. Not a 407 00:22:00,200 --> 00:22:03,119 Speaker 1: lot you can do with that market. Good point. Another 408 00:22:03,160 --> 00:22:05,360 Speaker 1: one other point that I want to make about this, 409 00:22:05,720 --> 00:22:08,960 Speaker 1: and this speaks exactly to what Tracy was saying, is 410 00:22:09,520 --> 00:22:13,560 Speaker 1: in markets, you can get to a point where the 411 00:22:13,680 --> 00:22:18,199 Speaker 1: underlying reality is not that important. And what happens is, 412 00:22:18,280 --> 00:22:21,359 Speaker 1: you know Cain's talked about this in uh, you know, 413 00:22:21,440 --> 00:22:24,080 Speaker 1: his concept of the beauty contest, which I think we've 414 00:22:24,119 --> 00:22:28,480 Speaker 1: talked about before on this on this podcast, which is 415 00:22:28,560 --> 00:22:33,480 Speaker 1: that markets are not really about figuring out who is 416 00:22:33,520 --> 00:22:36,879 Speaker 1: the most beautiful person in the beauty contest, but in 417 00:22:37,000 --> 00:22:39,840 Speaker 1: trying to figure out who the people you're competing against, 418 00:22:39,920 --> 00:22:43,000 Speaker 1: trading against who they think will be the most beautiful 419 00:22:43,000 --> 00:22:46,800 Speaker 1: person in the contest. And then there's endless layers of that. 420 00:22:46,880 --> 00:22:49,399 Speaker 1: So everybody else knows that that's how everyone is playing 421 00:22:49,400 --> 00:22:52,280 Speaker 1: the game. So at some point you settle on this 422 00:22:52,400 --> 00:22:56,680 Speaker 1: idea that the Mexican pasto is the proxy for the election, 423 00:22:57,040 --> 00:23:00,520 Speaker 1: And even if there's not necessarily any particular object to 424 00:23:00,600 --> 00:23:03,160 Speaker 1: it as being the best, the fact that we've all 425 00:23:03,200 --> 00:23:06,960 Speaker 1: settled on it as the proxy makes it a reality nonetheless. 426 00:23:07,040 --> 00:23:09,600 Speaker 1: And in my view, that's when markets get more interesting, 427 00:23:09,640 --> 00:23:14,320 Speaker 1: get at their peak interestingness, when they sort of become 428 00:23:14,359 --> 00:23:19,240 Speaker 1: almost purely expressions of group psychology very end, get further 429 00:23:19,320 --> 00:23:23,320 Speaker 1: and further divorced from underlying reality. So I love I 430 00:23:23,400 --> 00:23:27,359 Speaker 1: love this, call Megan, great choice. All right, Dan Moss, 431 00:23:27,920 --> 00:23:31,960 Speaker 1: what was your favorite story of We're going to go 432 00:23:32,000 --> 00:23:38,840 Speaker 1: to Japan and a more economic landscape? So on July one, 433 00:23:39,119 --> 00:23:44,000 Speaker 1: two of our colleagues in Tokyo published a story citing 434 00:23:44,000 --> 00:23:47,400 Speaker 1: people familiar with the discussions as saying that an increasing 435 00:23:47,560 --> 00:23:53,119 Speaker 1: number of b o J insiders concerned about the sustainability 436 00:23:53,960 --> 00:23:57,800 Speaker 1: of what was then the monitary policy framework in Japan, 437 00:23:58,760 --> 00:24:02,720 Speaker 1: which was the road to throw everything at the kitchen sink. 438 00:24:03,240 --> 00:24:06,000 Speaker 1: Quei as far as the I can see, just keep 439 00:24:06,080 --> 00:24:08,560 Speaker 1: hitting it and hitting it and hitting it in the 440 00:24:08,640 --> 00:24:12,160 Speaker 1: hopes that that inflation target can get up to two. 441 00:24:12,720 --> 00:24:16,280 Speaker 1: What our reporters we're hearing was WHOA inside the building, 442 00:24:16,640 --> 00:24:19,640 Speaker 1: there's increasing concern about, look, where are we going here? 443 00:24:20,320 --> 00:24:24,040 Speaker 1: And sure enough, a week later, when the bj was 444 00:24:24,080 --> 00:24:29,400 Speaker 1: expected to do a large easing, they announced a policy review. 445 00:24:29,600 --> 00:24:31,200 Speaker 1: Things are going to be on hold for a couple 446 00:24:31,280 --> 00:24:33,200 Speaker 1: of months, that we're going to think about it over 447 00:24:33,240 --> 00:24:35,600 Speaker 1: the summer, and they're going to come back. And when 448 00:24:35,600 --> 00:24:38,800 Speaker 1: they came back, what they had was a whole new framework. 449 00:24:39,200 --> 00:24:42,199 Speaker 1: They were instead going to target various points on the 450 00:24:42,320 --> 00:24:49,080 Speaker 1: yield curve rather than a quantitative amount of money. Big shift. 451 00:24:51,040 --> 00:24:53,720 Speaker 1: That is it unusual to get that sort of you know, 452 00:24:53,800 --> 00:24:58,280 Speaker 1: inside the palace holes type of gossip from the b 453 00:24:58,440 --> 00:25:01,840 Speaker 1: o J. And also is it an unusual situation in 454 00:25:01,880 --> 00:25:04,440 Speaker 1: the United States where every member of the Fed goes 455 00:25:04,440 --> 00:25:08,159 Speaker 1: off on their own little speaking tour between events, you know, 456 00:25:08,160 --> 00:25:12,199 Speaker 1: and which sort of approach do you think makes more sense. Well, 457 00:25:12,280 --> 00:25:15,879 Speaker 1: let's take the second one first. There are quite a 458 00:25:15,960 --> 00:25:19,440 Speaker 1: large number of members of the Bank of Japan's Monetary 459 00:25:19,440 --> 00:25:22,920 Speaker 1: Policy Committee who makes speeches in various parts of the country. 460 00:25:23,280 --> 00:25:26,000 Speaker 1: They just tend not to make the headlines. They tend 461 00:25:26,040 --> 00:25:28,720 Speaker 1: to be more cautious than what they say, and in 462 00:25:28,800 --> 00:25:32,879 Speaker 1: some of Kuroda's biggest decisions, the votes were split and 463 00:25:32,880 --> 00:25:36,960 Speaker 1: it was really only his vote that carried the day. 464 00:25:37,000 --> 00:25:40,400 Speaker 1: So you know, it's not a monolithic thing. They are 465 00:25:40,440 --> 00:25:43,280 Speaker 1: in various parts of the country making speeches, but for 466 00:25:43,320 --> 00:25:47,920 Speaker 1: some reason they tend not to resonate outside Japan. But 467 00:25:48,200 --> 00:25:52,119 Speaker 1: the dissension is real, and it's there now. The flip 468 00:25:52,160 --> 00:25:54,359 Speaker 1: side of your question was is it a problem that 469 00:25:54,400 --> 00:25:58,040 Speaker 1: there's too many fair officials speaking in too many places, 470 00:25:58,040 --> 00:26:02,600 Speaker 1: saying too many different things. The trick there, and we 471 00:26:02,680 --> 00:26:07,000 Speaker 1: wrestle with this daily, is trying to figure out which 472 00:26:07,040 --> 00:26:12,360 Speaker 1: officials matter the most at anyone given point in the cycle. 473 00:26:13,160 --> 00:26:16,520 Speaker 1: No names, but for example, if there's someone who's a 474 00:26:16,680 --> 00:26:21,040 Speaker 1: chronic dissenter known as a hard money person with a 475 00:26:21,200 --> 00:26:27,800 Speaker 1: track record of being predisposed against further easing. It's important 476 00:26:27,800 --> 00:26:31,160 Speaker 1: to take that into account when understanding what that person says, 477 00:26:32,000 --> 00:26:34,560 Speaker 1: and the markets do struggle with that, I think sometimes, 478 00:26:35,200 --> 00:26:38,199 Speaker 1: and I can understand it so down. I love that 479 00:26:38,280 --> 00:26:41,080 Speaker 1: you chose this story because I think a lot of 480 00:26:41,080 --> 00:26:43,920 Speaker 1: people maybe not forget, but this doesn't get as much 481 00:26:43,920 --> 00:26:46,800 Speaker 1: attention as it should. The Bank of Japan was, of 482 00:26:46,840 --> 00:26:52,280 Speaker 1: course at the forefront of easy monetary policy and experimental 483 00:26:52,359 --> 00:26:56,160 Speaker 1: monetary policy, and the fact that they kind of um 484 00:26:56,400 --> 00:27:01,720 Speaker 1: started rethinking that strategy this year speaks to the rest 485 00:27:01,760 --> 00:27:04,760 Speaker 1: of the world and really the efficacy of things like 486 00:27:04,880 --> 00:27:08,399 Speaker 1: quantitative easing and of things like negative interest rates. Right, 487 00:27:09,240 --> 00:27:13,000 Speaker 1: You're absolutely right, and privately officials will tell you. Yet, look, 488 00:27:13,040 --> 00:27:15,960 Speaker 1: we know we're a laboratory. We're not that proud of it, 489 00:27:16,720 --> 00:27:19,359 Speaker 1: but we were out there first. And the things that 490 00:27:19,440 --> 00:27:24,359 Speaker 1: Japan has been wrestling with, demographic change, a burst, property bubble, 491 00:27:25,560 --> 00:27:28,840 Speaker 1: these are things that are no longer just a Japanese issue. 492 00:27:29,280 --> 00:27:33,280 Speaker 1: The big difference is while Japan has a shrinking labor 493 00:27:33,320 --> 00:27:37,480 Speaker 1: market a shrinking population, there is not a robust embrace 494 00:27:37,560 --> 00:27:42,440 Speaker 1: of immigration. I also I agree with Tracy that there's 495 00:27:42,480 --> 00:27:45,359 Speaker 1: a great story because yea, as as Tracy put it, 496 00:27:45,400 --> 00:27:48,199 Speaker 1: we're seeing a lot of these same rethinks throughout the 497 00:27:48,240 --> 00:27:51,439 Speaker 1: world this year. The strategy of buy a bunch of 498 00:27:51,480 --> 00:27:57,000 Speaker 1: stuff and said an inflation target is arguably worked, or 499 00:27:57,880 --> 00:28:00,760 Speaker 1: has been mediocre at best, or is maybe just worked 500 00:28:00,800 --> 00:28:03,040 Speaker 1: a little bit not as as strong as people thought. 501 00:28:03,400 --> 00:28:05,919 Speaker 1: Great story that we'll keep watching. All right, Well, I 502 00:28:05,920 --> 00:28:09,240 Speaker 1: want to thank all you guys for giving your favorite 503 00:28:09,280 --> 00:28:15,280 Speaker 1: stories of fantastic list. Ed Hammond, our Deal's reporter, thank you, 504 00:28:15,680 --> 00:28:21,160 Speaker 1: Thank you, Mike Reagan, Markets Maven, thank you, Max Abelson 505 00:28:21,320 --> 00:28:25,000 Speaker 1: great uh great stories from showing some great range on 506 00:28:25,040 --> 00:28:27,800 Speaker 1: that and giving some shout outs to some non Bloomberg folks. 507 00:28:28,440 --> 00:28:31,880 Speaker 1: Thank you so much. Megan Murphy loved your call, Thank you, 508 00:28:32,160 --> 00:28:46,520 Speaker 1: and Dan Moss thanks a lot. Okay, Joe, Well, that 509 00:28:46,640 --> 00:28:51,560 Speaker 1: was our special hindsight episode. I guess I mean in 510 00:28:51,600 --> 00:28:54,480 Speaker 1: all seriousness, I really love talking about the stories that 511 00:28:54,680 --> 00:28:58,800 Speaker 1: are fellow journalists um loved this year or found interesting 512 00:28:58,920 --> 00:29:03,040 Speaker 1: or important. It's good to get a range from different perspectives, right, 513 00:29:03,120 --> 00:29:06,520 Speaker 1: not just markets people. Totally I think I loved I 514 00:29:06,560 --> 00:29:09,880 Speaker 1: had totally forgotten about the spray Athon party because in 515 00:29:09,920 --> 00:29:15,440 Speaker 1: the year which so much huge earth moving events happened. 516 00:29:15,880 --> 00:29:19,800 Speaker 1: It's easy to have forgotten about a party that got 517 00:29:19,800 --> 00:29:23,080 Speaker 1: a plastered all over Instagram with a silly hashtag. But 518 00:29:23,760 --> 00:29:26,200 Speaker 1: maybe maybe in retrospect that will have been the most 519 00:29:26,200 --> 00:29:30,720 Speaker 1: important story of the year, right because of the market link. 520 00:29:30,800 --> 00:29:34,040 Speaker 1: But I mean, you brought up the point about social media, 521 00:29:34,200 --> 00:29:38,040 Speaker 1: and I think probably for almost all of the stories 522 00:29:38,080 --> 00:29:41,520 Speaker 1: that we just spoke about, there is a social media angle, 523 00:29:41,720 --> 00:29:44,960 Speaker 1: and we've been talking about this on the podcast a lot. 524 00:29:45,040 --> 00:29:48,560 Speaker 1: But like the degree to which social media has changed 525 00:29:48,600 --> 00:29:53,000 Speaker 1: the landscape of everything from politics to economics, to markets, 526 00:29:53,040 --> 00:29:56,360 Speaker 1: to the way finance works, um to the possibility of 527 00:29:56,400 --> 00:29:59,960 Speaker 1: some hedge fund guy getting his party outed much fast 528 00:30:00,080 --> 00:30:04,280 Speaker 1: or than he would otherwise, it's just phenomenal. Yeah, I'm 529 00:30:04,320 --> 00:30:07,160 Speaker 1: actually of the view that for as much as we 530 00:30:07,200 --> 00:30:09,320 Speaker 1: talk about social media, and we've talked about a lot 531 00:30:09,360 --> 00:30:12,080 Speaker 1: on this podcast and people talk about it all the time, 532 00:30:12,560 --> 00:30:16,080 Speaker 1: we arguably don't talk about social media enough overall in 533 00:30:16,160 --> 00:30:21,240 Speaker 1: this because I think the ramifications on every aspect of 534 00:30:21,240 --> 00:30:23,800 Speaker 1: our life of everyone being able to communicate with each 535 00:30:23,800 --> 00:30:27,200 Speaker 1: other and have their opinion on everything maybe even a 536 00:30:27,200 --> 00:30:31,080 Speaker 1: bigger deal than we realize. So all right, Well, we'll 537 00:30:31,120 --> 00:30:35,040 Speaker 1: do more social media podcasts in all Right. This has 538 00:30:35,080 --> 00:30:37,960 Speaker 1: been another edition of the odd Loads podcast. Thank you 539 00:30:38,120 --> 00:30:41,800 Speaker 1: so much to our listeners who joined us in sen 540 00:30:42,360 --> 00:30:46,040 Speaker 1: We'll be back with another fresh slate of episodes in 541 00:30:47,880 --> 00:30:50,520 Speaker 1: I'm Joe Wisn't Thought. You can follow me on Twitter 542 00:30:50,720 --> 00:30:53,800 Speaker 1: at the Stalwarts and I'm Tracy Alloway. I'm on Twitter 543 00:30:53,920 --> 00:31:03,040 Speaker 1: at Tracy Alloway. Thanks for listening a