1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,880 Speaker 1: at Bloomberg dot com slash podcast. Shnani bask joins is 7 00:00:23,000 --> 00:00:25,400 Speaker 1: she's usually in the Bloomberg Interactive Broker Studio. I think 8 00:00:25,440 --> 00:00:29,920 Speaker 1: she's somewhere out in like Sun Valley, Ido, hiding in 9 00:00:29,960 --> 00:00:32,839 Speaker 1: a bush waiting to, you know, just pounce on interviewing. 10 00:00:32,920 --> 00:00:36,720 Speaker 1: Summer Camp for Billionaires, Summer Camp for billionaires, Media moguls, 11 00:00:36,760 --> 00:00:38,959 Speaker 1: tech moguls, they're all out in Sun Valley. They get 12 00:00:39,000 --> 00:00:41,839 Speaker 1: together every year. Um, and that's where a lot of 13 00:00:42,159 --> 00:00:45,560 Speaker 1: M and A deals in that TMT space actually originate. 14 00:00:45,960 --> 00:00:49,080 Speaker 1: Many of the big, big deals that we come to 15 00:00:49,120 --> 00:00:51,080 Speaker 1: know and love. Shanali, thanks so much for joining us. 16 00:00:51,400 --> 00:00:55,360 Speaker 1: How Sun Valley, Yeah, it's pretty interesting so far. It 17 00:00:55,440 --> 00:00:57,000 Speaker 1: is like summer calm. Do you see a lot of 18 00:00:57,000 --> 00:01:00,440 Speaker 1: people in T shirts and vans and Adida speakers the 19 00:01:00,480 --> 00:01:04,679 Speaker 1: occasional Valencia Ada and and Valentinos, but it is a 20 00:01:04,680 --> 00:01:06,960 Speaker 1: pretty chill vibe. You see a lot of people. Remember 21 00:01:06,959 --> 00:01:09,920 Speaker 1: it's a very small area, but a very restricted area, 22 00:01:10,000 --> 00:01:12,880 Speaker 1: so you don't have a lot of access here of course, 23 00:01:12,959 --> 00:01:17,319 Speaker 1: just a few reporters. But really it's a very secretive conference. 24 00:01:17,640 --> 00:01:19,800 Speaker 1: A lot of people sitting at the coffee shop and 25 00:01:19,800 --> 00:01:22,120 Speaker 1: you wonder what they're talking about. You you expect a 26 00:01:22,120 --> 00:01:24,080 Speaker 1: lot of deals to come out of this, a lot 27 00:01:24,120 --> 00:01:26,480 Speaker 1: of partnership. It's a lot of media moguls, you know. 28 00:01:26,560 --> 00:01:30,840 Speaker 1: David daslov Um of Warner Brothers had come out talked 29 00:01:30,880 --> 00:01:34,080 Speaker 1: to reporters a couple of times. Yesterday. Bob Iger has 30 00:01:34,080 --> 00:01:36,640 Speaker 1: been walking around as well. We asked what he's up to. 31 00:01:37,280 --> 00:01:41,440 Speaker 1: Um he reiterated that he's retired. However, he has certainly 32 00:01:41,520 --> 00:01:44,160 Speaker 1: been holding a lot of meetings here as well. There's 33 00:01:44,160 --> 00:01:47,280 Speaker 1: a lot. You know, if you're retired, shouldn't you be 34 00:01:47,400 --> 00:01:49,680 Speaker 1: like golfing or fishing something. That's what they do. They 35 00:01:49,720 --> 00:01:52,280 Speaker 1: golf and fish and Sun Valley and then they go 36 00:01:52,360 --> 00:01:54,720 Speaker 1: to some they go to some meetings during the day 37 00:01:54,840 --> 00:01:57,840 Speaker 1: and they just see and be seen. And Um channally, 38 00:01:58,080 --> 00:02:01,639 Speaker 1: as a reporter who has bidden there before, I recommend highly. 39 00:02:02,120 --> 00:02:03,720 Speaker 1: You have to go out to the bars at night. 40 00:02:03,920 --> 00:02:06,000 Speaker 1: That's where you find them, and that's where you can 41 00:02:06,000 --> 00:02:08,519 Speaker 1: get some good stuff. So, um, you're gonna have to 42 00:02:08,600 --> 00:02:10,920 Speaker 1: just you know, buck up and and you know, stay 43 00:02:10,960 --> 00:02:13,120 Speaker 1: out late and have fun with some of these moguls. 44 00:02:13,160 --> 00:02:15,080 Speaker 1: I think she'll be able to do. Yeah, yeah, you're 45 00:02:15,200 --> 00:02:17,600 Speaker 1: in earlier here late. We were here at four thirty 46 00:02:17,639 --> 00:02:20,520 Speaker 1: in the morning. The executive going for runs. You know, 47 00:02:20,600 --> 00:02:23,520 Speaker 1: Alex Carp's coming in of talent here very early, just 48 00:02:23,639 --> 00:02:26,160 Speaker 1: this morning. So there is no sleep in Sun Valley. 49 00:02:26,200 --> 00:02:29,080 Speaker 1: But there's definitely a lot of uh, there's definitely a 50 00:02:29,080 --> 00:02:31,480 Speaker 1: lot of you know, smoozing on the side. So what 51 00:02:31,560 --> 00:02:33,440 Speaker 1: did we hear from Zaslov yesterday? What did he have 52 00:02:33,520 --> 00:02:36,000 Speaker 1: to say? I thought he had addressed like a range 53 00:02:36,000 --> 00:02:40,080 Speaker 1: of topics from CNN to HBO. Yeah he did. He 54 00:02:40,120 --> 00:02:42,200 Speaker 1: talked about how, you know, the advertising market is not 55 00:02:42,280 --> 00:02:44,800 Speaker 1: in a terrible place right now. You know, it's these 56 00:02:44,840 --> 00:02:48,160 Speaker 1: copecutives they recognize that, Yeah, the economics times are hard, 57 00:02:48,600 --> 00:02:51,480 Speaker 1: but they're trying to strike a note of confidence regardless, 58 00:02:51,520 --> 00:02:54,160 Speaker 1: they have to resume business. When he was asked about 59 00:02:54,160 --> 00:02:57,440 Speaker 1: any future deal, the comment he really made was that 60 00:02:57,680 --> 00:03:01,080 Speaker 1: we feel good about our strategic footprint, our eat, which means, 61 00:03:01,160 --> 00:03:03,359 Speaker 1: you know, don't expect us to spend all that much 62 00:03:03,360 --> 00:03:07,480 Speaker 1: money after a transformative deal already. So there are trying 63 00:03:07,480 --> 00:03:09,720 Speaker 1: to check a lot of confidence out here and and 64 00:03:09,800 --> 00:03:12,839 Speaker 1: kind of reaffirm their strategies as they kind of look 65 00:03:12,960 --> 00:03:14,960 Speaker 1: to their peers and see what else is going on 66 00:03:15,000 --> 00:03:18,600 Speaker 1: out there, how their peers are are shifting their businesses 67 00:03:18,639 --> 00:03:21,400 Speaker 1: in the wake of major, major, major descruption, both in 68 00:03:21,440 --> 00:03:26,440 Speaker 1: the news business as well as the content business. Remember, um, 69 00:03:26,520 --> 00:03:29,080 Speaker 1: Jeffer Kastenberg is already here. A lot of these people 70 00:03:29,120 --> 00:03:33,919 Speaker 1: are well aware and familiar of the trials and tribulations 71 00:03:33,960 --> 00:03:37,560 Speaker 1: of the streaming business, which has gone through major upheavals. Um. 72 00:03:37,600 --> 00:03:40,920 Speaker 1: But remember the ad business has a lot of ramifications 73 00:03:40,960 --> 00:03:42,920 Speaker 1: for a lot of people. Coin based The CEO is 74 00:03:42,960 --> 00:03:45,680 Speaker 1: also here. Um. You know that's a company that used 75 00:03:45,680 --> 00:03:49,320 Speaker 1: to spend a lot of money on marketing. I'm surprised 76 00:03:49,320 --> 00:03:52,120 Speaker 1: they spent the money to even send him there. You know, 77 00:03:52,120 --> 00:03:55,880 Speaker 1: they're not even hiring anybody. They're firing like they decimated 78 00:03:55,920 --> 00:04:01,440 Speaker 1: their employees. Uh. And um, you know cryptos and free fall. 79 00:04:01,560 --> 00:04:07,120 Speaker 1: That guy should be like saving money somewhere. Yeah, you know, 80 00:04:07,160 --> 00:04:09,400 Speaker 1: it's interesting. There's some other fintech bolks out here too. 81 00:04:09,400 --> 00:04:11,520 Speaker 1: I'm speaking with Anthony Nodo a little bit later they 82 00:04:11,600 --> 00:04:15,240 Speaker 1: so bydo I ran into Max Levchin, this firm CEO 83 00:04:15,400 --> 00:04:17,680 Speaker 1: as well. Um I might be eating a little bit 84 00:04:17,760 --> 00:04:20,280 Speaker 1: later with san Druck and Miller as well. I mean, 85 00:04:20,360 --> 00:04:22,640 Speaker 1: these are folks that you know, are are you know 86 00:04:22,760 --> 00:04:26,440 Speaker 1: much more Um blunt about the pains we're seeing in 87 00:04:26,440 --> 00:04:28,680 Speaker 1: the market, because these are people who feel it every 88 00:04:28,720 --> 00:04:31,040 Speaker 1: day when they wake up in the morning, unlike the 89 00:04:31,160 --> 00:04:33,760 Speaker 1: media dos where you know, the first thing David Does 90 00:04:33,839 --> 00:04:39,400 Speaker 1: once said was I'm not an economist right about the economy. 91 00:04:39,640 --> 00:04:43,520 Speaker 1: So so how's the like, just the feel the attendance there. 92 00:04:43,520 --> 00:04:45,080 Speaker 1: I mean, you know, a couple of years they had 93 00:04:45,120 --> 00:04:48,320 Speaker 1: to uh not have the conference due to COVID, and 94 00:04:48,320 --> 00:04:50,479 Speaker 1: I think they had They had it last year maybe 95 00:04:50,480 --> 00:04:54,640 Speaker 1: with some restrictions. How's the vibe, how's the feel out there? Yeah, 96 00:04:54,640 --> 00:04:56,880 Speaker 1: it's so interesting because you come here and last year 97 00:04:56,880 --> 00:04:59,440 Speaker 1: there are no kids allowed, but we hear people can 98 00:04:59,480 --> 00:05:01,760 Speaker 1: bring their it's in their families, so you do see 99 00:05:01,760 --> 00:05:04,680 Speaker 1: people running bikes and kind of biking around and it's 100 00:05:04,720 --> 00:05:07,520 Speaker 1: a very different feel. You're talking about David zaslav and 101 00:05:07,800 --> 00:05:09,920 Speaker 1: at CNN. Some of the TNN talent is here, Like 102 00:05:09,960 --> 00:05:12,880 Speaker 1: Aaron Vernett saw him talking to her asking about her 103 00:05:12,920 --> 00:05:17,360 Speaker 1: kids yesterday. So people are meeting families where they're they 104 00:05:17,400 --> 00:05:20,360 Speaker 1: do have the COVID test. There are a lot of maths, 105 00:05:20,960 --> 00:05:23,640 Speaker 1: you know, at this level, executives are still anxious. Nobody 106 00:05:23,680 --> 00:05:25,800 Speaker 1: wants to go back with COVID and and not be 107 00:05:25,880 --> 00:05:28,440 Speaker 1: able to resume their plans next week. It's a short 108 00:05:28,480 --> 00:05:30,800 Speaker 1: week this week because it's right after the holidays. So 109 00:05:30,880 --> 00:05:33,720 Speaker 1: you did you feel the rush of people getting in 110 00:05:33,800 --> 00:05:36,560 Speaker 1: late last night and early this morning. Uh, they didn't 111 00:05:36,600 --> 00:05:42,719 Speaker 1: have that kind of you know weekend as they normally would, right. So, um, 112 00:05:42,760 --> 00:05:45,920 Speaker 1: you know it's interesting this kind of destination conference. You know, 113 00:05:45,960 --> 00:05:48,600 Speaker 1: it's something similar Anthony Scaramucci and FTX to do this 114 00:05:48,720 --> 00:05:52,640 Speaker 1: now in Bahamas, also bringing more families and kids around 115 00:05:52,720 --> 00:05:54,680 Speaker 1: so that it's a place you can go enjoy as 116 00:05:54,720 --> 00:05:58,080 Speaker 1: well as network and make new contacts and feels on 117 00:05:58,080 --> 00:06:01,840 Speaker 1: the side, great stuff. Enjoy your time out there, Good 118 00:06:01,920 --> 00:06:05,840 Speaker 1: luck getting snagging some interviews. Uh, it's very competitive out there, 119 00:06:05,839 --> 00:06:08,400 Speaker 1: but I know you and Ed Ludlow will get your 120 00:06:08,440 --> 00:06:11,600 Speaker 1: fair share of Shiney Bassk Wall Street reporter for Bloomberg 121 00:06:11,680 --> 00:06:14,520 Speaker 1: knew she's at its sun Valley, Idaho, the Allen and 122 00:06:14,600 --> 00:06:18,640 Speaker 1: Company media conference retreat where all the media models hang 123 00:06:18,640 --> 00:06:25,479 Speaker 1: out in this summer. It's good stuff the discussion of 124 00:06:25,520 --> 00:06:29,680 Speaker 1: the morning for me at least UH Roger Roger Rottenham, 125 00:06:29,920 --> 00:06:34,039 Speaker 1: former head fund manager Global, UH co founder and former 126 00:06:34,080 --> 00:06:37,200 Speaker 1: managing general partner of the Galilean Group and author of 127 00:06:37,440 --> 00:06:40,280 Speaker 1: Uneven Justice, joins us, and of course, in October two 128 00:06:40,279 --> 00:06:43,479 Speaker 1: thousand nine, Raj was arrested by the FBI for insider trading. 129 00:06:43,480 --> 00:06:46,760 Speaker 1: Found guilty in May of fourteen counts of conspiracy and 130 00:06:46,800 --> 00:06:50,000 Speaker 1: securities fraud sends to eleven years in prison, released a 131 00:06:50,040 --> 00:06:52,480 Speaker 1: home and confinement in the summer of twenty nine, Team Matt, 132 00:06:52,560 --> 00:06:56,440 Speaker 1: but rog back in the day was the absolute pinnacle 133 00:06:56,480 --> 00:06:58,200 Speaker 1: of the hedge fund business. So big Matt that he 134 00:06:58,200 --> 00:07:01,520 Speaker 1: would not even take my phone call as a subside analyst. 135 00:07:01,520 --> 00:07:04,400 Speaker 1: That's how big is. Roger. Thanks so much for joining 136 00:07:04,480 --> 00:07:07,919 Speaker 1: us here. You know, it's a fascinating conversation. You know, 137 00:07:08,000 --> 00:07:12,440 Speaker 1: I'd love to get your perspective, maybe one key takeaway 138 00:07:12,480 --> 00:07:14,640 Speaker 1: that you have given that now you have some perspective 139 00:07:14,720 --> 00:07:19,440 Speaker 1: of time of the last dozen years with your legal issues, 140 00:07:19,480 --> 00:07:21,120 Speaker 1: I'd love to get your sense of just maybe one 141 00:07:21,160 --> 00:07:29,200 Speaker 1: key takeaway if you have one. Well, the key takeaway 142 00:07:29,600 --> 00:07:33,480 Speaker 1: is the communal justice system today in the United States. 143 00:07:34,400 --> 00:07:37,320 Speaker 1: It has a lot leaves a lot to be desired. 144 00:07:37,400 --> 00:07:42,480 Speaker 1: It's not a fair system. The prosecutorial power is unchecked, 145 00:07:43,520 --> 00:07:50,160 Speaker 1: and there's a nine seven percent convich rate. Um wow, 146 00:07:51,440 --> 00:07:55,320 Speaker 1: that bears repeating. There's a nineties seven percent conviction rate 147 00:07:55,800 --> 00:07:58,200 Speaker 1: in America. That's the kind of thing you hear about 148 00:07:58,520 --> 00:08:02,720 Speaker 1: like Japan and you think something's not right. Yeah, it's 149 00:08:02,920 --> 00:08:08,400 Speaker 1: similar to China or Russia. Right. And if you lose 150 00:08:08,480 --> 00:08:12,000 Speaker 1: a trial, you get a trial penalty, which is twice 151 00:08:12,760 --> 00:08:17,800 Speaker 1: what you would get if you didn't go to trial. 152 00:08:18,680 --> 00:08:22,880 Speaker 1: But Roger and Real for you specifically, you had the 153 00:08:23,040 --> 00:08:28,760 Speaker 1: absolute best legal representation anyone could ever have. Did you 154 00:08:28,840 --> 00:08:33,400 Speaker 1: not get a fair shake? No? The The uphill battle 155 00:08:33,840 --> 00:08:40,880 Speaker 1: is the government uses cooperating witnesses who they train and 156 00:08:41,080 --> 00:08:44,600 Speaker 1: cous into a narrative that they want to give out. 157 00:08:45,480 --> 00:08:52,000 Speaker 1: And in my case, the chief witness retracted his testimony. 158 00:08:52,280 --> 00:08:56,720 Speaker 1: In another case in the same circuit the same stocks 159 00:08:57,760 --> 00:09:00,959 Speaker 1: and the jury found the and then in that case 160 00:09:01,360 --> 00:09:06,559 Speaker 1: not guilty. So so I would argue, and I know 161 00:09:06,640 --> 00:09:09,160 Speaker 1: you want to talk about the markets, I would argue 162 00:09:09,920 --> 00:09:14,920 Speaker 1: that causing witnesses and threatening them with long sentences unless 163 00:09:14,960 --> 00:09:20,080 Speaker 1: they co operate is really the underbellue of the American 164 00:09:21,040 --> 00:09:24,560 Speaker 1: justice system. I mean, I also want to hear about 165 00:09:24,600 --> 00:09:29,640 Speaker 1: your book. You've got um a book out, Uneven Justice, 166 00:09:29,679 --> 00:09:31,680 Speaker 1: And I assume this is what it's about. What are 167 00:09:31,760 --> 00:09:34,319 Speaker 1: your what are the solutions that you propose? And do 168 00:09:34,360 --> 00:09:36,840 Speaker 1: you think you can get anything done on this? Because 169 00:09:37,360 --> 00:09:41,160 Speaker 1: from from from what we're hearing from you, um, and 170 00:09:41,280 --> 00:09:43,160 Speaker 1: I guess what we see on TV and what we 171 00:09:43,280 --> 00:09:45,920 Speaker 1: all know happens, you know, make a deal, uh and 172 00:09:46,040 --> 00:09:48,200 Speaker 1: testify this way or you're going to go to trial 173 00:09:48,320 --> 00:09:54,280 Speaker 1: and lose. Um. What can be done about it? Well? 174 00:09:54,559 --> 00:09:57,040 Speaker 1: Number one, I think you should hold the prosecutors to 175 00:09:57,200 --> 00:10:00,920 Speaker 1: the same standards as a defense lawyer. If a difference 176 00:10:01,000 --> 00:10:04,600 Speaker 1: lawyer lies in court, he can be convicted of perjury 177 00:10:05,360 --> 00:10:11,480 Speaker 1: and his license would be terminated. Number Two, if you're 178 00:10:11,480 --> 00:10:16,040 Speaker 1: going to use cooperating witnesses, sentenced them for their crime 179 00:10:16,960 --> 00:10:23,600 Speaker 1: prior to the testimony, so they have no incentive to lie. Ah. 180 00:10:24,520 --> 00:10:26,480 Speaker 1: So Roger's just just to put a point on is 181 00:10:26,600 --> 00:10:32,160 Speaker 1: your contention today, again, given the benefit of hindsight and perspective, 182 00:10:32,200 --> 00:10:39,160 Speaker 1: that you were unfairly convicted? Uh? My contention is that 183 00:10:39,360 --> 00:10:42,199 Speaker 1: I you know, I'm an American citizen. I respect the 184 00:10:43,000 --> 00:10:48,800 Speaker 1: verdict of the jury. But when you have government cooperating 185 00:10:48,880 --> 00:10:56,760 Speaker 1: witnesses who like to save their skin and then later 186 00:10:56,880 --> 00:11:02,560 Speaker 1: on retracted in another isle under oath, then only one 187 00:11:02,600 --> 00:11:06,559 Speaker 1: of the two is correct. And so I'm saying that 188 00:11:06,760 --> 00:11:12,040 Speaker 1: the cooperating witnesses, um, who are lying that testing my 189 00:11:12,160 --> 00:11:17,640 Speaker 1: nie should not be admitted. And you know, in my opinion, 190 00:11:17,920 --> 00:11:19,959 Speaker 1: it's not a fair trial. This is why I wrote 191 00:11:20,000 --> 00:11:22,559 Speaker 1: the book. I'm not trying to read try the case. 192 00:11:23,400 --> 00:11:27,120 Speaker 1: The entire peaks of the book go to justice the phone. 193 00:11:27,720 --> 00:11:30,240 Speaker 1: And I've spent a fair amount of my time talking 194 00:11:30,320 --> 00:11:36,559 Speaker 1: to law students at Stanford and other universities two, you know, 195 00:11:36,920 --> 00:11:41,079 Speaker 1: to create awareness of the comminal justice system. I'm just 196 00:11:41,160 --> 00:11:43,960 Speaker 1: wondering if you think something can really change now. I mean, 197 00:11:44,040 --> 00:11:47,959 Speaker 1: we've got a new head of the sec Gary Gensler, right, 198 00:11:48,040 --> 00:11:52,240 Speaker 1: We've got a Supreme Court that is looking very activist. Um, 199 00:11:54,160 --> 00:11:56,080 Speaker 1: do you think now is the time where you can 200 00:11:56,160 --> 00:12:01,920 Speaker 1: actually achieve change. Well, in the last several years, there's 201 00:12:02,000 --> 00:12:07,560 Speaker 1: been bipartisan support for criminal justice to phone. Unfortunately it's 202 00:12:07,880 --> 00:12:13,640 Speaker 1: mainly focused on police brutality on the street against minorities. 203 00:12:14,760 --> 00:12:19,440 Speaker 1: I would submit that the brutality in the courtrooms, where 204 00:12:19,559 --> 00:12:23,880 Speaker 1: prosecutors are more interested in winning than getting the truth, 205 00:12:24,880 --> 00:12:27,080 Speaker 1: should be also addressed. And you know it's not going 206 00:12:27,120 --> 00:12:29,520 Speaker 1: to be easy, it's going to be slow, but you know, 207 00:12:29,640 --> 00:12:32,480 Speaker 1: we have to take one step at a time. If 208 00:12:33,240 --> 00:12:37,439 Speaker 1: if people like me, who my resume includes being arrested, 209 00:12:38,200 --> 00:12:41,240 Speaker 1: fighting it all the way, going to jail and coming out, 210 00:12:42,080 --> 00:12:49,320 Speaker 1: and I believe I have firsthand or front seat. Hey, 211 00:12:49,440 --> 00:12:51,400 Speaker 1: rocher Love, I would love to get the benefit of 212 00:12:51,480 --> 00:12:55,120 Speaker 1: your experience here on the markets here, you know, crazy 213 00:12:55,200 --> 00:12:57,640 Speaker 1: times we live in. What's your market? Call here? What 214 00:12:57,679 --> 00:13:00,600 Speaker 1: are you thinking about these markets? Okay? So I've been 215 00:13:00,640 --> 00:13:02,959 Speaker 1: in the markets for thirty or forty years and I've 216 00:13:03,080 --> 00:13:08,319 Speaker 1: never seen a market as turbulent as this, and I 217 00:13:08,440 --> 00:13:11,600 Speaker 1: think it's time to be cautious. Let me explain one 218 00:13:11,960 --> 00:13:14,880 Speaker 1: last year, I mean, this year, you've seen the unminding 219 00:13:15,000 --> 00:13:22,760 Speaker 1: of several bubbles, the spack market, the crypto market, and 220 00:13:24,520 --> 00:13:30,360 Speaker 1: um the meme stock bubble. So you have the unlinding 221 00:13:30,400 --> 00:13:35,040 Speaker 1: of a bubble together with the fat tightening. So I 222 00:13:35,080 --> 00:13:38,079 Speaker 1: would be very cautious. It's like, you know, if you 223 00:13:38,200 --> 00:13:40,880 Speaker 1: know the roads are slippery, you're not going to take 224 00:13:40,920 --> 00:13:43,760 Speaker 1: a motorcycle and driving it right. You're gonna stay at home. 225 00:13:45,240 --> 00:13:49,320 Speaker 1: So we have you know, so I run a family office, 226 00:13:50,400 --> 00:13:54,640 Speaker 1: market is treacherous, and what we have done is we've 227 00:13:54,679 --> 00:13:58,640 Speaker 1: reduced our portfolio from sixty five stocks to twenty five stocks. 228 00:13:59,280 --> 00:14:01,360 Speaker 1: At the time you were on the street, Raj Paul 229 00:14:01,800 --> 00:14:03,720 Speaker 1: was working on the street as well as investment banker, 230 00:14:03,760 --> 00:14:06,240 Speaker 1: and he tells me that the Galleon model was that 231 00:14:06,400 --> 00:14:09,719 Speaker 1: you picked a small number of stocks around rich you 232 00:14:09,800 --> 00:14:12,839 Speaker 1: had high conviction, and you would just trade around them. Um. 233 00:14:13,320 --> 00:14:16,920 Speaker 1: Is that still the model in your family office? And uh, 234 00:14:17,440 --> 00:14:20,000 Speaker 1: you know, how have you been doing in the first 235 00:14:20,040 --> 00:14:24,160 Speaker 1: half because it was difficult for everyone else. Yeah, So 236 00:14:25,000 --> 00:14:29,560 Speaker 1: we focus on companies that disrupt the way we live. Um, 237 00:14:29,920 --> 00:14:37,440 Speaker 1: so companies in cybersecurity, clout computing, m e commerce, electric vehicles. 238 00:14:37,480 --> 00:14:39,960 Speaker 1: The point is these are high beta stocks. They move 239 00:14:40,040 --> 00:14:43,359 Speaker 1: a lot. So if you're able to trade the volatility 240 00:14:43,720 --> 00:14:49,040 Speaker 1: pretty well, you can make extra returns rather than you know, 241 00:14:49,160 --> 00:14:51,560 Speaker 1: by a stock at ten and make five dollars. If 242 00:14:51,600 --> 00:14:54,520 Speaker 1: it goes to fifteen, if you're able to trade around 243 00:14:54,560 --> 00:14:58,080 Speaker 1: the volatility, you could probably make seven dollars eight dollars. 244 00:14:58,160 --> 00:15:04,800 Speaker 1: So that's a model. We have ten analysts each sectors specialists, 245 00:15:05,800 --> 00:15:09,400 Speaker 1: and we've changed our strategy in the last six months 246 00:15:09,880 --> 00:15:12,520 Speaker 1: in the sense that the entire portfolio is focused on 247 00:15:12,680 --> 00:15:18,880 Speaker 1: companies that generate cash, profitable and grow in excess of 248 00:15:21,240 --> 00:15:25,640 Speaker 1: so that leads us to sectors were long like cybersecurity, 249 00:15:25,680 --> 00:15:29,440 Speaker 1: where we have tail winds almost every day. The bad 250 00:15:29,480 --> 00:15:36,480 Speaker 1: guys are hacking companies for ransomware, cloud computing, the digital 251 00:15:36,560 --> 00:15:41,240 Speaker 1: transformation of enterprises, and electric vehicles. But how how have 252 00:15:41,400 --> 00:15:45,000 Speaker 1: you done? Because you know the first half UM retail 253 00:15:45,200 --> 00:15:49,200 Speaker 1: investors got Clauber, the sixty forty portfolio, which clearly isn't 254 00:15:49,240 --> 00:15:52,600 Speaker 1: your model, UM got smashed, and all the big hedge 255 00:15:52,680 --> 00:15:57,200 Speaker 1: fund you know, you're former colleagues from you know, the 256 00:15:57,280 --> 00:16:00,120 Speaker 1: Tiger Globals of the world got destroyed as well. Oh, 257 00:16:00,160 --> 00:16:05,479 Speaker 1: how did you do you want a single number? Seven 258 00:16:05,560 --> 00:16:15,520 Speaker 1: point down? So Roger, So you know you think about 259 00:16:15,600 --> 00:16:19,000 Speaker 1: these markets here, I mean, you know there's been so 260 00:16:19,120 --> 00:16:21,560 Speaker 1: much volatility here, what do you make of some of 261 00:16:21,720 --> 00:16:25,600 Speaker 1: like these crazy tradings that we've seen in meme stocks 262 00:16:25,640 --> 00:16:27,520 Speaker 1: for example, or I guess more to the point, in 263 00:16:27,600 --> 00:16:30,920 Speaker 1: crypto crypto. How do you think about this whole crypto space. 264 00:16:31,000 --> 00:16:35,320 Speaker 1: That's something new for you since you were running galleon. Yeah, 265 00:16:35,440 --> 00:16:38,480 Speaker 1: I mean, you know, I don't know how you value 266 00:16:38,520 --> 00:16:40,960 Speaker 1: a bit, right, it's what somebody else is going to 267 00:16:41,080 --> 00:16:45,200 Speaker 1: pay for it. Um. What we've learned in the last 268 00:16:45,360 --> 00:16:48,560 Speaker 1: couple of months, it's a huge leverage that's been taking place. 269 00:16:49,400 --> 00:16:53,280 Speaker 1: Now whenever somebody promises you an eight percent returned to 270 00:16:53,840 --> 00:16:57,280 Speaker 1: for you to lend your bitcoin to them, you know 271 00:16:57,440 --> 00:17:03,840 Speaker 1: that's not regather right. So there's too much money running 272 00:17:03,880 --> 00:17:08,560 Speaker 1: around because of the fuddle reserve, you know, in an 273 00:17:08,600 --> 00:17:15,000 Speaker 1: accommodative phase. Um. And you've seen you know, when I 274 00:17:15,160 --> 00:17:18,560 Speaker 1: was managing money, the retail investor was not a big 275 00:17:19,040 --> 00:17:23,480 Speaker 1: not a big factor. Today they account for about of 276 00:17:23,680 --> 00:17:30,440 Speaker 1: the trading volume, and computer algorithmic based trading account for 277 00:17:30,560 --> 00:17:34,960 Speaker 1: about So you have this money running around the casino 278 00:17:35,640 --> 00:17:39,280 Speaker 1: not really understanding the risks. And because we've been in 279 00:17:39,320 --> 00:17:42,719 Speaker 1: a bull market, you know, everybody was parting like crazy. 280 00:17:43,840 --> 00:17:46,600 Speaker 1: Now they have to pay the piper, right, things are 281 00:17:46,680 --> 00:17:50,119 Speaker 1: not as easy as it seemed last year. And this 282 00:17:50,280 --> 00:17:52,480 Speaker 1: is why I tell I, I say to you that 283 00:17:52,680 --> 00:17:56,720 Speaker 1: I've never seen a market this treacherous and this turbulence. 284 00:17:56,960 --> 00:17:59,600 Speaker 1: If I was an investor, I would wait for three months. 285 00:18:01,160 --> 00:18:04,879 Speaker 1: We would by then we wouldn't know what the Fed's 286 00:18:04,920 --> 00:18:08,119 Speaker 1: going to do. The consensus is seventi five basis points. 287 00:18:08,240 --> 00:18:12,359 Speaker 1: Race number two will come through the earning season and 288 00:18:12,640 --> 00:18:17,000 Speaker 1: we will see what management is saying about their business 289 00:18:17,119 --> 00:18:21,000 Speaker 1: and the mac and the environment they operate in. And 290 00:18:21,400 --> 00:18:25,600 Speaker 1: we'll also probably have some charity on how the Russian 291 00:18:25,720 --> 00:18:31,320 Speaker 1: Ukraine war is UH evolved. Me these are mostly things 292 00:18:31,400 --> 00:18:34,000 Speaker 1: that you cannot know right. These are big macro issues. 293 00:18:34,480 --> 00:18:38,280 Speaker 1: But the retail investor, especially the sort of Wall Street 294 00:18:38,359 --> 00:18:43,040 Speaker 1: bets crowd um is confirmed concerned about a narrative that 295 00:18:43,280 --> 00:18:46,480 Speaker 1: you know, the game is fixed, the casino is rigged, 296 00:18:46,720 --> 00:18:50,840 Speaker 1: and you know your case, maybe one your former case, 297 00:18:50,880 --> 00:18:53,400 Speaker 1: maybe one that they site as evidence. Do you think 298 00:18:53,480 --> 00:18:56,120 Speaker 1: that's the case? Um? These days? Are are are big 299 00:18:56,160 --> 00:18:59,480 Speaker 1: hedge fund managers? Do they need an edge, possibly a 300 00:18:59,600 --> 00:19:05,960 Speaker 1: gray area or even illegal edge. Well, you know, it's 301 00:19:06,320 --> 00:19:09,640 Speaker 1: difficult to compare the retail investors to the professional investor 302 00:19:09,760 --> 00:19:16,520 Speaker 1: who spends ten hours a day reading quarterly's, listening to 303 00:19:16,600 --> 00:19:21,399 Speaker 1: conference calls, ten case meeting with management. And in the 304 00:19:21,480 --> 00:19:25,320 Speaker 1: good old days, if you wanted to invest in the market, 305 00:19:25,359 --> 00:19:28,119 Speaker 1: you would give it to Fidelity or Morgan Stanley or 306 00:19:28,200 --> 00:19:33,000 Speaker 1: Dray first professional money managers to manage. What has happened 307 00:19:33,040 --> 00:19:37,600 Speaker 1: more recently some of these approprictions that allowed retail investors 308 00:19:37,720 --> 00:19:41,680 Speaker 1: to buy partial chess so you can buy one share 309 00:19:41,720 --> 00:19:47,360 Speaker 1: of Amazon. And while retail parties participation is good for everybody, 310 00:19:48,800 --> 00:19:54,280 Speaker 1: I think you need to do your homework. Yeah, absolutely, 311 00:19:54,320 --> 00:19:57,200 Speaker 1: I mean it needs Volato markets, no question about it. Roger. 312 00:19:57,200 --> 00:19:59,720 Speaker 1: I just want to thank you for your time. Appreciate 313 00:19:59,840 --> 00:20:03,440 Speaker 1: you taken the time. Roger Roger Rottenham former He is 314 00:20:03,520 --> 00:20:06,120 Speaker 1: the former managing general partner and co founder of Galleon 315 00:20:06,200 --> 00:20:11,080 Speaker 1: Management Group, a hedge fund, also author of Uneven Justice. 316 00:20:11,320 --> 00:20:14,280 Speaker 1: Appreciate getting his perspective because Matt back again, back in 317 00:20:14,359 --> 00:20:16,880 Speaker 1: the day, the nineties to two thousand's, he was as 318 00:20:16,960 --> 00:20:18,960 Speaker 1: big as they come in terms of the hedge fund 319 00:20:19,200 --> 00:20:21,560 Speaker 1: business on the Wall Street. Absolutely, so it will be 320 00:20:21,640 --> 00:20:25,399 Speaker 1: interesting to see how um his book has received. Uneven 321 00:20:25,520 --> 00:20:28,280 Speaker 1: Justice is the name of the book and he takes uh. 322 00:20:28,400 --> 00:20:32,440 Speaker 1: He has a real problem with um uh, with prosecution 323 00:20:32,600 --> 00:20:36,560 Speaker 1: and prosecutors and and and the advantages he thinks they enjoy, 324 00:20:36,880 --> 00:20:39,880 Speaker 1: and and the tactics that they use. It will also 325 00:20:39,960 --> 00:20:43,399 Speaker 1: be interesting to see how his advice to investors plays out. 326 00:20:43,440 --> 00:20:46,080 Speaker 1: He says, wait, wait for wait for earnings, and wait 327 00:20:46,119 --> 00:20:51,199 Speaker 1: for this federal reserve. Let's keep it moving. Matt Winkler, 328 00:20:51,320 --> 00:20:53,840 Speaker 1: editor in Chief emeritus from Bloomberg News. He's the founder 329 00:20:53,880 --> 00:20:56,280 Speaker 1: of Bloomberg News. For for goodness sake, he's in our 330 00:20:56,320 --> 00:20:59,359 Speaker 1: Bloomberg Interactor Broker Studio. Matt, thanks so much for joining us. 331 00:20:59,359 --> 00:21:02,000 Speaker 1: Forgot some stuff talk about one of my favorite cities, Boston. 332 00:21:02,040 --> 00:21:04,080 Speaker 1: But first I want to just get your thoughts on 333 00:21:04,359 --> 00:21:06,440 Speaker 1: our discussion the mat and I just had with Roger. 334 00:21:06,960 --> 00:21:10,680 Speaker 1: Roger Rottenham, former managing general partner co found of Galleon Management, 335 00:21:10,760 --> 00:21:15,440 Speaker 1: a unbelievable story that I know Bloomberg News covered extensively 336 00:21:16,000 --> 00:21:19,720 Speaker 1: back in the day and we were television and over 337 00:21:19,840 --> 00:21:22,760 Speaker 1: it when he got us to covering the trial extensively. 338 00:21:22,960 --> 00:21:24,399 Speaker 1: What are your thoughts? And Kenny, I know you were 339 00:21:24,400 --> 00:21:29,000 Speaker 1: listening to our conversation, so we're all concerned about what 340 00:21:29,200 --> 00:21:33,840 Speaker 1: comes next. And I think relevant to the discussion you 341 00:21:33,960 --> 00:21:39,800 Speaker 1: just had is that if you read carefully recent Supreme 342 00:21:39,840 --> 00:21:44,280 Speaker 1: Court decisions, both the Dodd decision which related to abortion, 343 00:21:44,520 --> 00:21:50,800 Speaker 1: and UH the decision that essentially UH negates much of 344 00:21:50,920 --> 00:21:54,000 Speaker 1: what the e p A under the Biden administration has 345 00:21:54,040 --> 00:21:56,600 Speaker 1: set out to do to deal with climate change. That's 346 00:21:56,640 --> 00:22:01,960 Speaker 1: about a much bigger issue, which is against regulation per se, 347 00:22:02,440 --> 00:22:05,760 Speaker 1: and that includes, by the way, securities regulation. If you 348 00:22:05,840 --> 00:22:09,600 Speaker 1: look at the say, the six justices on the Supreme 349 00:22:09,680 --> 00:22:13,840 Speaker 1: Court who were in agreement, UM, where they're going at 350 00:22:13,880 --> 00:22:18,960 Speaker 1: this point is to you know, eviscerate government regulation, maybe 351 00:22:19,040 --> 00:22:22,040 Speaker 1: take us back before the New Deal. Really, and we 352 00:22:22,119 --> 00:22:25,520 Speaker 1: all know what happened before the New Deal. There was 353 00:22:25,560 --> 00:22:31,639 Speaker 1: the Great Depression and crash before that, and out of 354 00:22:31,760 --> 00:22:36,440 Speaker 1: that came UH securities regulation. Really for the first time, 355 00:22:36,560 --> 00:22:40,280 Speaker 1: the sec was born, if you like, out of the 356 00:22:40,440 --> 00:22:44,040 Speaker 1: ashes of the stock market crash and the Great Depression. 357 00:22:44,119 --> 00:22:49,719 Speaker 1: So UH, there is clearly an ideological bent um at 358 00:22:49,800 --> 00:22:53,280 Speaker 1: this point, and it's coming from the court. There's a 359 00:22:53,359 --> 00:22:57,000 Speaker 1: couple of an I code that all type on the Bloomberg. 360 00:22:57,040 --> 00:22:58,600 Speaker 1: I always look at an I l are and I 361 00:22:58,680 --> 00:23:01,919 Speaker 1: look at an I authors uh now and I Gilbert had. 362 00:23:02,280 --> 00:23:04,160 Speaker 1: I've looked at it ever since Mark taught me about 363 00:23:04,160 --> 00:23:07,000 Speaker 1: the bond market. And I Winkler, of course is uh 364 00:23:07,640 --> 00:23:11,119 Speaker 1: my mainstay. As Matt hired me. Um, you've got a 365 00:23:11,200 --> 00:23:17,200 Speaker 1: piece on uh, not only on your on the opinion side, 366 00:23:17,240 --> 00:23:21,399 Speaker 1: but on your your columns. Here about Michelle wou the 367 00:23:21,440 --> 00:23:23,560 Speaker 1: new mayor of Boston and how she's going to change 368 00:23:23,600 --> 00:23:27,200 Speaker 1: it with the help of a big boost of stimulus. 369 00:23:27,240 --> 00:23:30,639 Speaker 1: Tell us about it. Well, she's, as we say, a 370 00:23:30,720 --> 00:23:33,280 Speaker 1: mayor of many first because she's the first woman and 371 00:23:33,359 --> 00:23:38,040 Speaker 1: first person of color elected as mayor uh Boston, and 372 00:23:38,119 --> 00:23:42,440 Speaker 1: that was in November, and she inherited about three and 373 00:23:42,480 --> 00:23:45,640 Speaker 1: fifty million dollars in one time federal funds that came 374 00:23:45,680 --> 00:23:50,280 Speaker 1: out of COVID nineteen relief money. And she immediately set 375 00:23:50,320 --> 00:23:53,760 Speaker 1: about using that money. Uh. She puts it to make 376 00:23:53,920 --> 00:24:00,360 Speaker 1: Boston the greenest city in America. But what really is, um, 377 00:24:01,040 --> 00:24:04,680 Speaker 1: if you like, the secret sauce of Boston is, and 378 00:24:04,800 --> 00:24:08,640 Speaker 1: maybe not so secret anymore, is that it's exceptional really 379 00:24:08,680 --> 00:24:12,399 Speaker 1: in the world as a center for biotechnology. And we 380 00:24:12,480 --> 00:24:16,080 Speaker 1: can say that at Bloomberg because we have data that 381 00:24:16,200 --> 00:24:19,320 Speaker 1: shows that there's no city in the world. There's no 382 00:24:19,480 --> 00:24:21,480 Speaker 1: country in the world, there's no state in the United 383 00:24:21,520 --> 00:24:25,960 Speaker 1: States where you have the convergence of biotechnology and three 384 00:24:26,000 --> 00:24:30,240 Speaker 1: companies in particular what you've heard of. Of course, Maderna 385 00:24:30,520 --> 00:24:33,679 Speaker 1: and Biogen are probably the best well known, but there 386 00:24:33,680 --> 00:24:38,040 Speaker 1: are actually many UM companies that you haven't heard of. 387 00:24:38,480 --> 00:24:42,199 Speaker 1: And uh, this is really about the twenty one century. 388 00:24:42,280 --> 00:24:46,400 Speaker 1: And this is where Boston benefits more probably than any 389 00:24:46,440 --> 00:24:49,040 Speaker 1: other city. Do they have a corruption problem because I 390 00:24:49,440 --> 00:24:52,600 Speaker 1: obviously think about M I T and Harvard and Vertex 391 00:24:52,680 --> 00:24:55,679 Speaker 1: and Maldierna, and but I also think about the Big 392 00:24:55,760 --> 00:24:59,040 Speaker 1: Dig when I think about Boston. Well, it's not so 393 00:24:59,119 --> 00:25:03,520 Speaker 1: much that the Big Dig was UH corruption. It was 394 00:25:04,680 --> 00:25:07,760 Speaker 1: a very long term government project. Having said that, if 395 00:25:07,800 --> 00:25:10,919 Speaker 1: you ask anyone in Boston today how they feel about 396 00:25:11,480 --> 00:25:14,280 Speaker 1: what was achieved by the Big Dig, the answer I 397 00:25:14,400 --> 00:25:17,800 Speaker 1: think is unanimous, which is Boston is a beautiful city 398 00:25:17,920 --> 00:25:21,520 Speaker 1: because of the Big Dig. It's a cleaner, more vibrant, UH, 399 00:25:21,840 --> 00:25:24,359 Speaker 1: more connected city than it ever was. And so the 400 00:25:24,440 --> 00:25:28,360 Speaker 1: Big Dig was in fact a far sided UH decision 401 00:25:28,680 --> 00:25:32,520 Speaker 1: and only benefited Boston. You know, as a former sell 402 00:25:32,600 --> 00:25:37,320 Speaker 1: side analysts, Boston was after New York, my top top market. 403 00:25:37,359 --> 00:25:39,800 Speaker 1: I'd go up there at least once a quarter, big 404 00:25:39,880 --> 00:25:43,200 Speaker 1: financial services, big mutual fun industry. If there's that's still 405 00:25:43,480 --> 00:25:45,560 Speaker 1: the case, well sure, I mean if you think about 406 00:25:45,600 --> 00:25:49,720 Speaker 1: Fidelity for example alone, Uh, Fidelity is such a huge 407 00:25:49,840 --> 00:25:56,320 Speaker 1: generator of revenue. Uh, you know, it's gargantuan and uh. 408 00:25:56,480 --> 00:25:59,320 Speaker 1: Then you think of healthcare. Health care amounts to about 409 00:26:00,080 --> 00:26:05,000 Speaker 1: corporate Massachusetts, and of that business is biotech and pharmaceuticals. 410 00:26:05,280 --> 00:26:07,480 Speaker 1: So there's a reason why you would beat a path 411 00:26:07,600 --> 00:26:12,359 Speaker 1: there because, uh, for example, they're fifty seven Massachusetts based 412 00:26:12,400 --> 00:26:15,200 Speaker 1: biotech firms in the Russell three thousand. They produced a 413 00:26:15,280 --> 00:26:19,960 Speaker 1: total return of thirty seven uh and two during the 414 00:26:20,040 --> 00:26:25,080 Speaker 1: past two and three years. That substantially outperforms California and 415 00:26:25,119 --> 00:26:30,080 Speaker 1: New York, New Jersey with comparable healthcare and pharmaceutical in 416 00:26:30,200 --> 00:26:34,000 Speaker 1: biotech companies. So you get some sense from this data 417 00:26:34,160 --> 00:26:37,960 Speaker 1: of just what a juggernaut this industry is for Boston. 418 00:26:38,160 --> 00:26:40,760 Speaker 1: Can I just ask you one thing I haven't seen 419 00:26:40,800 --> 00:26:43,400 Speaker 1: mentioned in these columns. You did one on Atlanta before Boston. 420 00:26:44,000 --> 00:26:46,480 Speaker 1: I've just moved from Berlin, and I've noticed that we 421 00:26:46,600 --> 00:26:49,120 Speaker 1: have a real problem when it comes to childcare. Why 422 00:26:49,240 --> 00:26:54,119 Speaker 1: why isn't their pre K childcare right again. I mean 423 00:26:54,320 --> 00:26:58,320 Speaker 1: it's a political decision in this country, not a moral 424 00:26:58,400 --> 00:27:01,320 Speaker 1: decision or an economic decision. It's a political decision, all right. 425 00:27:01,359 --> 00:27:03,560 Speaker 1: Matt Winkler, thanks so much for joining us. Always appreciate it. 426 00:27:03,600 --> 00:27:06,560 Speaker 1: Matt Winkler, Editor in Chief Emeritus, Bloomberg News. Joining us here. 427 00:27:10,840 --> 00:27:13,800 Speaker 1: Phil Taps, CEO of TAPS Asset Management film more importantly 428 00:27:15,280 --> 00:27:19,440 Speaker 1: of your assets in cash talk to us about that. Yeah. 429 00:27:19,760 --> 00:27:23,720 Speaker 1: So our strategies, we have funds and ETFs and s 430 00:27:23,800 --> 00:27:26,240 Speaker 1: m a s and we have been managing this way since. 431 00:27:27,359 --> 00:27:29,120 Speaker 1: So it's not something that we came up with last week. 432 00:27:29,280 --> 00:27:33,399 Speaker 1: But we use trend following algorithms, and our trend following 433 00:27:33,400 --> 00:27:36,080 Speaker 1: algorithms attempt to get us out of the way of 434 00:27:36,240 --> 00:27:39,280 Speaker 1: market train wrecks in the very early phase of decline. 435 00:27:39,560 --> 00:27:42,840 Speaker 1: So we moved for the first time out of US 436 00:27:42,880 --> 00:27:48,520 Speaker 1: equities in and international equities on January thirteenth of this year. Um, 437 00:27:48,960 --> 00:27:51,800 Speaker 1: we've been in. We've been in a couple of times 438 00:27:52,000 --> 00:27:56,760 Speaker 1: and out very briefly, but we've been defensive now for 439 00:27:57,440 --> 00:27:59,879 Speaker 1: at least the last month and a half. So the 440 00:28:00,160 --> 00:28:04,840 Speaker 1: idea is that when market chaos happens, sometimes it's just 441 00:28:05,080 --> 00:28:07,640 Speaker 1: best to be on the sidelines and wait for better 442 00:28:07,760 --> 00:28:11,200 Speaker 1: value to come along. We just heard this from Raj Rajaratnam. 443 00:28:11,200 --> 00:28:13,680 Speaker 1: Actually we spoke to the former hedge fund manager and 444 00:28:15,080 --> 00:28:19,479 Speaker 1: convicted insider trader. I guess I should say that legally, 445 00:28:19,960 --> 00:28:22,600 Speaker 1: um And he he said, he advises investors to wait 446 00:28:22,760 --> 00:28:25,800 Speaker 1: like three months until we see get a better picture 447 00:28:25,960 --> 00:28:29,000 Speaker 1: of what the Fed is doing, of what the economy 448 00:28:29,119 --> 00:28:32,520 Speaker 1: is doing versus inflation, and what's happening in the Russian 449 00:28:32,560 --> 00:28:36,520 Speaker 1: war against Ukraine. What do you think about that? Well, 450 00:28:36,640 --> 00:28:39,080 Speaker 1: so it's it's really hard to put a time frame 451 00:28:39,160 --> 00:28:42,239 Speaker 1: on it because you don't know whether it's going to uh, 452 00:28:42,880 --> 00:28:45,600 Speaker 1: you know, become escalated and bottom out in the next 453 00:28:45,680 --> 00:28:48,120 Speaker 1: week or two months or three months. So if you 454 00:28:48,240 --> 00:28:51,600 Speaker 1: just have a period of time like three months, it 455 00:28:51,680 --> 00:28:54,360 Speaker 1: could take six months or nine months. So instead of 456 00:28:54,480 --> 00:28:56,320 Speaker 1: doing that, I think someone needs to come to this 457 00:28:56,680 --> 00:29:00,120 Speaker 1: idea with a well thought out system. And what that 458 00:29:00,280 --> 00:29:03,560 Speaker 1: might look like is a trend following algorithm that then 459 00:29:03,680 --> 00:29:07,640 Speaker 1: detects when trends turn higher and attempts to come back in. 460 00:29:07,840 --> 00:29:09,840 Speaker 1: Just as we got out in the early phase of 461 00:29:09,920 --> 00:29:11,520 Speaker 1: this decline. What you want to try to do is 462 00:29:11,600 --> 00:29:14,560 Speaker 1: come back in in the early phase of a rise 463 00:29:14,680 --> 00:29:18,160 Speaker 1: in the markets, and so you know, for for this 464 00:29:18,320 --> 00:29:21,160 Speaker 1: to end, we'd expect for volatility to be way higher 465 00:29:21,200 --> 00:29:22,880 Speaker 1: than where it is, you know, vix it in the 466 00:29:23,000 --> 00:29:28,120 Speaker 1: range of isn't full capitulation. So once that finally happens 467 00:29:28,160 --> 00:29:30,000 Speaker 1: and trends move higher than there cans to be some 468 00:29:30,280 --> 00:29:33,200 Speaker 1: very big gains ahead. I mean three months would put 469 00:29:33,280 --> 00:29:35,560 Speaker 1: us about where an average recession would end, sometime in 470 00:29:35,640 --> 00:29:37,680 Speaker 1: October of this year, but I'd hate to put a 471 00:29:37,760 --> 00:29:39,680 Speaker 1: specific time period on it, like that. Is this the 472 00:29:39,760 --> 00:29:43,240 Speaker 1: kaboomer thing, because you're not a dooomer or a gloomer, 473 00:29:43,280 --> 00:29:46,200 Speaker 1: but a kaboomer. What a boomer? Yeah? Yeah, So some 474 00:29:46,600 --> 00:29:49,720 Speaker 1: people sometimes say that I'm a doom and gloomer, but 475 00:29:50,000 --> 00:29:51,959 Speaker 1: I came out this year out of the closet as 476 00:29:52,000 --> 00:29:55,040 Speaker 1: a boom boom kaboomer. Because if you're a duman gloomer, 477 00:29:55,120 --> 00:29:57,440 Speaker 1: it's like being at a cocktail party and tell it, 478 00:29:57,520 --> 00:29:59,720 Speaker 1: reminding everyone of the hangover that's going to happen eventually. 479 00:29:59,800 --> 00:30:01,880 Speaker 1: But so we have to do is embrace the boom 480 00:30:01,920 --> 00:30:05,800 Speaker 1: and realize that markets are advancing of the time. But 481 00:30:05,960 --> 00:30:07,800 Speaker 1: the thing that almost no one is prepared for in 482 00:30:07,840 --> 00:30:09,960 Speaker 1: the markets is when the market when they go completely 483 00:30:10,120 --> 00:30:12,320 Speaker 1: off the rails, and so you can look to the 484 00:30:12,360 --> 00:30:15,640 Speaker 1: financial crisis of client, but it could be worse and 485 00:30:15,680 --> 00:30:19,720 Speaker 1: the Great Depression stocks went down, So some combination of 486 00:30:19,920 --> 00:30:25,720 Speaker 1: both decreasing earnings and compressing valuations, it could be even 487 00:30:25,840 --> 00:30:27,920 Speaker 1: worse than what we saw in the financial crisis. So 488 00:30:28,440 --> 00:30:32,720 Speaker 1: acknowledge it and build contingencies around what would happen to 489 00:30:32,760 --> 00:30:34,920 Speaker 1: your portfolio if we see that kind of a huge 490 00:30:35,000 --> 00:30:39,440 Speaker 1: that's a great general perspective we've seen now specifically the 491 00:30:39,840 --> 00:30:46,400 Speaker 1: valuation compression. What kind of earnings drop or collapse do 492 00:30:46,480 --> 00:30:50,080 Speaker 1: you expect. So if you look at the last to 493 00:30:50,240 --> 00:30:52,720 Speaker 1: bear markets, the both the Internet double burst and the 494 00:30:52,760 --> 00:30:57,680 Speaker 1: financial crisis, what happened is the economy was fine going 495 00:30:57,760 --> 00:31:00,520 Speaker 1: into it and the stock markets fell. And after the 496 00:31:00,560 --> 00:31:02,560 Speaker 1: stock market fall, that's felt that's when you saw a 497 00:31:02,640 --> 00:31:05,840 Speaker 1: recession and a decrease in earnings. That appears to be 498 00:31:05,920 --> 00:31:08,080 Speaker 1: what's happening this time as well, because coming into the 499 00:31:08,160 --> 00:31:12,480 Speaker 1: end of last year, you know, still the unemployment number 500 00:31:12,520 --> 00:31:16,160 Speaker 1: looks looks quite good. There are more jobs available than 501 00:31:16,240 --> 00:31:19,480 Speaker 1: our people to fill them. But I think it depends 502 00:31:19,520 --> 00:31:22,440 Speaker 1: on how serious the stock market fall gets. I think 503 00:31:22,480 --> 00:31:26,480 Speaker 1: it depends on how bad inflation and how long it persists, 504 00:31:27,120 --> 00:31:29,640 Speaker 1: and that will help determine how bad earnings go. But 505 00:31:29,680 --> 00:31:31,640 Speaker 1: I don't think we've seen a lot of compression and 506 00:31:31,720 --> 00:31:34,520 Speaker 1: valuations yet. I mean, if you're still bumping up around 507 00:31:34,560 --> 00:31:37,480 Speaker 1: twenty times trailing on the SMP five hundred, that doesn't 508 00:31:37,520 --> 00:31:42,040 Speaker 1: even look like average, much less low multiples. So really, 509 00:31:42,200 --> 00:31:44,080 Speaker 1: you know, looking back at the history of the fact 510 00:31:44,120 --> 00:31:46,320 Speaker 1: that we've been at that five and a half times 511 00:31:47,120 --> 00:31:50,360 Speaker 1: earnings on the SMP five hundred, we're nowhere near that 512 00:31:50,520 --> 00:31:52,400 Speaker 1: kind of a low. I'm not saying we'll get there, 513 00:31:52,920 --> 00:31:54,920 Speaker 1: but that's the kind of risk that we're talking about. 514 00:31:55,760 --> 00:31:59,280 Speaker 1: Still thirty seconds here, Um, if you had to buy 515 00:31:59,360 --> 00:32:03,880 Speaker 1: something today, would you what would you buy? Well, frankly, 516 00:32:04,000 --> 00:32:05,760 Speaker 1: I mean, I know that the energy complex has come 517 00:32:05,800 --> 00:32:07,960 Speaker 1: out under come under pressure recently. But if I was 518 00:32:08,000 --> 00:32:10,040 Speaker 1: going to put a small allocation into something that I 519 00:32:10,120 --> 00:32:12,920 Speaker 1: thought might have a prayer of advancing in the next 520 00:32:12,960 --> 00:32:15,000 Speaker 1: two to three months, it would be in the energy sector, 521 00:32:15,360 --> 00:32:17,120 Speaker 1: and that that trade could go wrong if we see 522 00:32:17,160 --> 00:32:19,280 Speaker 1: us come into our recession. But I think there's a 523 00:32:19,360 --> 00:32:23,640 Speaker 1: possibility still we all know of Russia doing some things 524 00:32:23,720 --> 00:32:26,440 Speaker 1: with oil that could cause oil prices to spike, so 525 00:32:26,520 --> 00:32:28,960 Speaker 1: I would I'd look to that, and then for broader 526 00:32:29,040 --> 00:32:31,400 Speaker 1: portfolios if you're not going to be in hedge equity 527 00:32:31,440 --> 00:32:33,640 Speaker 1: funds like we manage, or things that can be fully 528 00:32:33,680 --> 00:32:36,320 Speaker 1: on the sidelines. I looked at things like low ball 529 00:32:36,360 --> 00:32:38,440 Speaker 1: stocks and and think they're going to be less volatible 530 00:32:38,480 --> 00:32:41,120 Speaker 1: and moved down less than the broad markets. So people 531 00:32:41,640 --> 00:32:43,640 Speaker 1: accuse him of doom and gloom. I just don't see it. 532 00:32:43,800 --> 00:32:46,760 Speaker 1: Phil Taves, thanks so much. We appreciate Phil Taves, ce 533 00:32:46,920 --> 00:32:51,800 Speaker 1: CEO of Taves Asset Management. And that's how you pronounce it, right, Yeah, Taves, 534 00:32:51,920 --> 00:32:54,960 Speaker 1: I'm going with that. Thanks for listening to the Bloomberg 535 00:32:55,040 --> 00:32:58,440 Speaker 1: Markets podcast. You can subscribe and listen to interviews with 536 00:32:58,480 --> 00:33:03,320 Speaker 1: Apple Podcasts or whatever podcast platform you prefer. I'm Mat Miller. 537 00:33:03,560 --> 00:33:06,960 Speaker 1: I'm on Twitter at Matt Miller nineteen seventy three and 538 00:33:07,120 --> 00:33:09,360 Speaker 1: on false Sweeney I'm on Twitter at p T Sweeney. 539 00:33:09,440 --> 00:33:12,120 Speaker 1: Before the podcast, you can always catch us worldwide at 540 00:33:12,120 --> 00:33:12,880 Speaker 1: Bloomberg Radio