1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg P and L Podcast. I'm Pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Bramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg P M L 6 00:00:20,840 --> 00:00:32,480 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. Adventures 7 00:00:32,520 --> 00:00:35,360 Speaker 1: in Muni Land. That's the author of the book that 8 00:00:35,479 --> 00:00:38,080 Speaker 1: David co Talk, the chairman and Chief investment officer of 9 00:00:38,120 --> 00:00:42,199 Speaker 1: Cumberland Advisors, co authored. He's based in Sarah Soda. He 10 00:00:42,400 --> 00:00:46,080 Speaker 1: is uh in California today and David, always a pleasure 11 00:00:46,120 --> 00:00:48,240 Speaker 1: to hear your voice, Um, and wonder if you could 12 00:00:48,680 --> 00:00:53,599 Speaker 1: maybe just explain how Adventures in Muni Land might actually 13 00:00:53,640 --> 00:00:56,760 Speaker 1: apply to Adventures in Bitcoin? Could that be a serial? 14 00:00:56,880 --> 00:00:59,200 Speaker 1: Do you think maybe? Is that your second volume coming up? 15 00:00:59,640 --> 00:01:03,600 Speaker 1: I'm thinking Tim, Thank you very much, Happy holidays to you. 16 00:01:03,920 --> 00:01:06,760 Speaker 1: I'm thinking about writing that one, but we don't have 17 00:01:06,880 --> 00:01:11,199 Speaker 1: enough experience yet in bitcoin we will, I suspect before 18 00:01:11,280 --> 00:01:13,640 Speaker 1: this is over. So what do you mean by that 19 00:01:13,760 --> 00:01:17,959 Speaker 1: before this is over? You're implying something here. Well, I'm 20 00:01:18,000 --> 00:01:21,160 Speaker 1: in the camp that says something that can be created 21 00:01:21,319 --> 00:01:27,440 Speaker 1: infinitely with mathematical formulas and that is subject to hacking, 22 00:01:27,920 --> 00:01:33,119 Speaker 1: and the experiences we're seeing is not a value. And 23 00:01:33,200 --> 00:01:38,440 Speaker 1: so cryptocurrency that isn't backed by anything other than hope 24 00:01:39,160 --> 00:01:42,440 Speaker 1: or an algorithm which can be repeated a hundred times 25 00:01:42,440 --> 00:01:45,840 Speaker 1: and already is is not something I would invest in. 26 00:01:45,920 --> 00:01:48,960 Speaker 1: Now there's another group. I just saw a forecast today 27 00:01:49,040 --> 00:01:53,520 Speaker 1: that said next year Bitcoin I'll hit eighteen thousand. Well, 28 00:01:53,720 --> 00:01:57,080 Speaker 1: price fantasy ratios have been around for a while, maybe 29 00:01:57,080 --> 00:01:59,640 Speaker 1: this is a new one. Well, David, you know you 30 00:02:00,080 --> 00:02:05,080 Speaker 1: did in a story published yesterday by Bloomberg News. Clients 31 00:02:05,120 --> 00:02:08,320 Speaker 1: bring up bitcoin all the time. You said, they think 32 00:02:08,400 --> 00:02:11,080 Speaker 1: it's cool. It has the newness, which is attractive to 33 00:02:11,120 --> 00:02:13,960 Speaker 1: some people, though others would say newness is a risk 34 00:02:14,160 --> 00:02:18,200 Speaker 1: they don't want to take. When clients bring up bitcoin 35 00:02:18,320 --> 00:02:21,280 Speaker 1: with you, what do you say? I say, if you 36 00:02:21,320 --> 00:02:26,240 Speaker 1: want to speculate in this remarkable evolution that has a 37 00:02:26,280 --> 00:02:30,000 Speaker 1: couple of years of history, and that's all do so, 38 00:02:30,200 --> 00:02:33,000 Speaker 1: knowing you might make a lot of money in a 39 00:02:33,160 --> 00:02:37,240 Speaker 1: gamble and you might lose it all in managed accounts. 40 00:02:37,600 --> 00:02:40,120 Speaker 1: We don't touch it. We don't touch any of the 41 00:02:40,160 --> 00:02:45,120 Speaker 1: ets funds or other organization old structures which are coming 42 00:02:46,200 --> 00:02:50,120 Speaker 1: quickly to the market trying to reach them. I would 43 00:02:50,200 --> 00:02:56,760 Speaker 1: distinguish between lisa mathematically backed cryptocurrency, which by the way, 44 00:02:57,120 --> 00:02:59,880 Speaker 1: can work as a transaction medium, but it has no 45 00:03:00,080 --> 00:03:04,440 Speaker 1: store of value that we're used to, and dollar back 46 00:03:04,600 --> 00:03:10,160 Speaker 1: cryptocurrency or gold back cryptocurrency, which is catching on and 47 00:03:10,480 --> 00:03:16,280 Speaker 1: is growing rapidly. It's actually growing more rapidly than the 48 00:03:16,360 --> 00:03:20,799 Speaker 1: mathematical backed cryptocurrency. And there's a reason. There's a lot 49 00:03:20,840 --> 00:03:23,240 Speaker 1: of players in the world who would like to use 50 00:03:23,880 --> 00:03:27,880 Speaker 1: a transactional medium and not have a record and not 51 00:03:28,040 --> 00:03:32,480 Speaker 1: have it go through a banking system. Unfortunately, they're the 52 00:03:32,600 --> 00:03:36,680 Speaker 1: kinds of folks that threaten the United States and others 53 00:03:36,800 --> 00:03:41,880 Speaker 1: who are engaged in more transparent commercial activity. Alright, so, David, 54 00:03:41,920 --> 00:03:44,600 Speaker 1: I'm glad you you held back there on your opinion 55 00:03:44,640 --> 00:03:51,680 Speaker 1: about the cryptocurrencies. Is there is there something underneath this 56 00:03:51,760 --> 00:03:55,680 Speaker 1: though that says why they are popular? What is it 57 00:03:55,720 --> 00:04:00,000 Speaker 1: that has lent this air of sort of almost inevitable 58 00:04:00,000 --> 00:04:03,760 Speaker 1: ability about the emergence of these kinds of currencies. Why 59 00:04:03,760 --> 00:04:06,680 Speaker 1: do you think people are so attracted to them? Now, Well, 60 00:04:06,760 --> 00:04:09,240 Speaker 1: you've got human behavior, We've seen it before. There's this 61 00:04:09,280 --> 00:04:12,280 Speaker 1: wonderful new movie out. I don't know how popular it is, 62 00:04:12,600 --> 00:04:17,040 Speaker 1: toolip Fever with Judy Dench, and it attempts to replicate 63 00:04:17,120 --> 00:04:21,000 Speaker 1: the tool of Bubble of centuries ago, and it shows 64 00:04:21,080 --> 00:04:26,080 Speaker 1: how momentum drives up prices and it shows what happens 65 00:04:26,120 --> 00:04:29,320 Speaker 1: after the fact when they collapse. Are we having one 66 00:04:29,320 --> 00:04:32,640 Speaker 1: of those? Maybe? Are we having? And am I wrong? 67 00:04:33,320 --> 00:04:39,440 Speaker 1: And that could be a legitimate change in reserve currencies, 68 00:04:39,520 --> 00:04:42,960 Speaker 1: where we're going to use algorithms to drive value instead 69 00:04:43,000 --> 00:04:47,080 Speaker 1: of gold or silver fiat currencies that we know, I 70 00:04:47,080 --> 00:04:49,240 Speaker 1: would say, in due time will find out. I'm on 71 00:04:49,279 --> 00:04:52,840 Speaker 1: the side that five thousand years of history with gold 72 00:04:53,480 --> 00:04:56,080 Speaker 1: is a little stronger than five years of history with 73 00:04:56,160 --> 00:04:59,960 Speaker 1: a bit Clinton. I think you know, underlying a certain 74 00:05:00,000 --> 00:05:04,840 Speaker 1: only some of the enthusiasm is the fact that investors 75 00:05:05,080 --> 00:05:08,440 Speaker 1: want returns that are getting harder to get uh in 76 00:05:08,560 --> 00:05:12,599 Speaker 1: traditional asset classes, and so bitcoin kind of represents something 77 00:05:13,120 --> 00:05:16,440 Speaker 1: that seems more limitless than say, bonds that are constrained 78 00:05:16,480 --> 00:05:19,120 Speaker 1: by very low yields or stocks that are constrained by 79 00:05:19,200 --> 00:05:23,120 Speaker 1: very high valuations. Do you present ever alternatives to these 80 00:05:23,160 --> 00:05:26,359 Speaker 1: investors that might be interested in bitcoin? That might be 81 00:05:26,440 --> 00:05:29,800 Speaker 1: higher yielding, and if so, what are they Well, sure 82 00:05:29,800 --> 00:05:33,960 Speaker 1: we do, Lisa, but you know you've you have reported 83 00:05:34,040 --> 00:05:37,320 Speaker 1: on interest rates and bonds for years. I've watched you 84 00:05:38,000 --> 00:05:41,760 Speaker 1: and you are in a period of time, and you know, 85 00:05:42,200 --> 00:05:44,240 Speaker 1: because I've heard your report on it. We are in 86 00:05:44,240 --> 00:05:49,840 Speaker 1: a decade long period of interest rates which are extraordinarily low, 87 00:05:50,279 --> 00:05:53,640 Speaker 1: driven by central bank policies with both you and Tim 88 00:05:53,680 --> 00:05:58,599 Speaker 1: have reported on many times which are exceptional and that 89 00:05:58,839 --> 00:06:02,200 Speaker 1: distorts behave year over time. Do you think about it? 90 00:06:02,440 --> 00:06:07,000 Speaker 1: Any professional in the financial services industry who's under forty 91 00:06:08,680 --> 00:06:14,120 Speaker 1: has never experienced a climate other than interest rates which 92 00:06:14,120 --> 00:06:18,360 Speaker 1: are rooted in the zero interest rate policy. They've read 93 00:06:18,360 --> 00:06:21,479 Speaker 1: about it in books, but they've never experienced it. So 94 00:06:21,600 --> 00:06:25,760 Speaker 1: behaviors are entirely different, and that will not last forever. 95 00:06:25,880 --> 00:06:28,039 Speaker 1: In my opinion, what do I know? I'm an old goat, 96 00:06:28,120 --> 00:06:31,400 Speaker 1: So how do you know? Well, we're not going to 97 00:06:31,839 --> 00:06:34,760 Speaker 1: go come on, happy nays to yourself. We love speaking 98 00:06:34,800 --> 00:06:39,360 Speaker 1: with you. That's that's your new marketing slogan, right, David Kotak, 99 00:06:39,440 --> 00:06:43,279 Speaker 1: the old goat? Well, David, can you tell us? Uh? 100 00:06:43,800 --> 00:06:45,800 Speaker 1: Having said all this, what do you think is gonna 101 00:06:45,800 --> 00:06:47,320 Speaker 1: happen with interest rates. Do you think we're going to 102 00:06:47,400 --> 00:06:50,680 Speaker 1: get four increases next year, as Goldman Sachs has put 103 00:06:50,680 --> 00:06:54,520 Speaker 1: out to their investors, I do not. I'm watching things 104 00:06:54,640 --> 00:06:59,520 Speaker 1: in the credit markets, credit card delinquency slightly rising, real 105 00:06:59,640 --> 00:07:05,760 Speaker 1: estate mortgage structures in growing trouble, twice as many vacancies 106 00:07:05,800 --> 00:07:10,960 Speaker 1: in the commercial space area as new construction. Questions about mortgages. 107 00:07:11,000 --> 00:07:15,040 Speaker 1: I mean, we're seeing elements warning signs, yellow lights that 108 00:07:15,200 --> 00:07:19,360 Speaker 1: things aren't just so perfect, and we also see a 109 00:07:19,400 --> 00:07:22,200 Speaker 1: flat yielder. We don't know how to how to interpret 110 00:07:22,240 --> 00:07:25,040 Speaker 1: it because of the distortion of the European Central Bank 111 00:07:25,080 --> 00:07:29,640 Speaker 1: negative interest rate policy, so we don't have the usual metrics. 112 00:07:30,360 --> 00:07:33,880 Speaker 1: I think we are in slow growth. You heard yelling 113 00:07:34,120 --> 00:07:37,880 Speaker 1: on her sort of exit remarks say, I'm not so 114 00:07:37,920 --> 00:07:40,560 Speaker 1: sure we're gonna have a big inflation. Maybe we got 115 00:07:40,560 --> 00:07:43,120 Speaker 1: to go more slowly here. And now we have a 116 00:07:43,120 --> 00:07:46,200 Speaker 1: whole new fit. We're gonna have an entirely new federal 117 00:07:46,240 --> 00:07:51,200 Speaker 1: reserve within a year that has no experience with ten 118 00:07:51,280 --> 00:07:54,360 Speaker 1: years ago, a credit crisis and all that sort of thing. 119 00:07:54,720 --> 00:07:57,840 Speaker 1: So we're in huge unchartered waters. Is great to go 120 00:07:57,920 --> 00:07:59,680 Speaker 1: to work every day. I feel like I spent the 121 00:07:59,720 --> 00:08:02,080 Speaker 1: last fifty years my life getting ready to be in 122 00:08:02,120 --> 00:08:04,920 Speaker 1: business at a time like this. David Kotak, thank you 123 00:08:04,960 --> 00:08:07,880 Speaker 1: so much for joining us, and have a wonderful, wonderful 124 00:08:07,920 --> 00:08:12,520 Speaker 1: Thanksgiving thinking about bitcoin and the era of low rates. 125 00:08:12,560 --> 00:08:17,240 Speaker 1: David Kotak, Chairman and Chief executive officer of Cumberland Advisors, 126 00:08:17,320 --> 00:08:21,880 Speaker 1: also the co author of the book Adventures in Muniland. 127 00:08:33,280 --> 00:08:38,120 Speaker 1: When Mark Dunklely arrived at Hawaiian Airlines, the airline depended 128 00:08:38,120 --> 00:08:41,400 Speaker 1: almost entirely on traffic from the United States mainland and 129 00:08:41,520 --> 00:08:45,920 Speaker 1: among Hawaii's islands. Well as chief executive, he has managed 130 00:08:45,960 --> 00:08:49,280 Speaker 1: to grab a large share of the international business. International 131 00:08:49,320 --> 00:08:52,199 Speaker 1: travel now accounts for about a fourth of the airline's revenue, 132 00:08:52,200 --> 00:08:56,200 Speaker 1: flights to such destinations as Japan, China, South Korea, Australia 133 00:08:56,520 --> 00:08:59,800 Speaker 1: and New Zealand. But Mark Dunckly has his own destination 134 00:08:59,840 --> 00:09:03,440 Speaker 1: and he is departing from Hawaiian Holdings, the parent company 135 00:09:03,480 --> 00:09:06,200 Speaker 1: of Hawaian Airlines. He joins us now, Mark Duncley, thanks 136 00:09:06,240 --> 00:09:08,160 Speaker 1: for being with us. Maybe you could tell us a 137 00:09:08,240 --> 00:09:12,280 Speaker 1: little bit about why are you moving on and what 138 00:09:12,320 --> 00:09:16,199 Speaker 1: do you believe your legacy will be at the airline. Well, then, 139 00:09:16,280 --> 00:09:18,120 Speaker 1: first all, it's great to talk to you again, as 140 00:09:18,480 --> 00:09:21,280 Speaker 1: it always is. Um. Yeah, you know, I've had the 141 00:09:21,320 --> 00:09:24,080 Speaker 1: great good fortune to run this business for fifteen years, 142 00:09:24,160 --> 00:09:27,320 Speaker 1: and at the same time, you know, I've been a 143 00:09:27,360 --> 00:09:30,240 Speaker 1: long way away from from family. You can probably tell 144 00:09:30,280 --> 00:09:33,400 Speaker 1: them that being in Hawaiian, being British and having family 145 00:09:33,400 --> 00:09:36,560 Speaker 1: on the East Coast makes some of you know, keeping 146 00:09:36,600 --> 00:09:39,400 Speaker 1: touch with family a little bit difficult. So it seemed 147 00:09:39,440 --> 00:09:42,840 Speaker 1: like the right time to to make that move. In 148 00:09:42,960 --> 00:09:45,920 Speaker 1: terms of the legacy of our business. I think it 149 00:09:45,920 --> 00:09:50,240 Speaker 1: really just sort of demonstrates that a small carrier with 150 00:09:50,320 --> 00:09:53,520 Speaker 1: a real focus on the customer can compete and win 151 00:09:54,280 --> 00:09:57,680 Speaker 1: UH in a in a market of very big airlines. 152 00:09:59,000 --> 00:10:02,240 Speaker 1: In the story that we had on Bloomberg News in 153 00:10:02,280 --> 00:10:05,240 Speaker 1: the past few weeks, it noted how a number of 154 00:10:05,280 --> 00:10:10,120 Speaker 1: the big airlines United Continental, UH and Southwest Airlines have 155 00:10:10,480 --> 00:10:13,439 Speaker 1: expanded service or said that they were going to from 156 00:10:13,480 --> 00:10:16,920 Speaker 1: the mainland to Hawaii. You have said at the time, 157 00:10:17,040 --> 00:10:19,760 Speaker 1: had I known about this additional competition at the time 158 00:10:20,120 --> 00:10:22,840 Speaker 1: I started discussing my plans with the board of directors, 159 00:10:22,880 --> 00:10:27,960 Speaker 1: I would have stayed on. Can you explain that? Yeah? Absolutely, 160 00:10:28,000 --> 00:10:31,080 Speaker 1: I mean, you know, one of the reasons why you 161 00:10:31,120 --> 00:10:34,240 Speaker 1: get into the airline business and management capacities because you 162 00:10:34,320 --> 00:10:37,360 Speaker 1: like to fight. And uh, you know, we've had a 163 00:10:37,360 --> 00:10:40,200 Speaker 1: lot of competitive entry in our market during the period 164 00:10:40,200 --> 00:10:43,880 Speaker 1: of time when we've grown and developed ourselves. We've always 165 00:10:43,880 --> 00:10:47,680 Speaker 1: been able to beat back the competition, um in And so, 166 00:10:48,240 --> 00:10:51,960 Speaker 1: uh you know, I see no reason why this next 167 00:10:52,000 --> 00:10:55,559 Speaker 1: episode is going to be any different. And I would 168 00:10:56,240 --> 00:10:59,560 Speaker 1: very much liked to have been in the saddle to 169 00:10:59,360 --> 00:11:02,640 Speaker 1: to take the fight to the to the additional capacity. 170 00:11:02,920 --> 00:11:05,320 Speaker 1: So Mark, let's say you were staying on, how would 171 00:11:05,320 --> 00:11:08,760 Speaker 1: you wage this fight? Well, I think we've got the 172 00:11:08,760 --> 00:11:13,400 Speaker 1: winning combination. To begin with, Hawaiian Airlines understands the Hawaii 173 00:11:13,480 --> 00:11:18,800 Speaker 1: traveler better than any other airline does. Um We've during 174 00:11:18,880 --> 00:11:22,439 Speaker 1: the period, you know, with each successive year, our rate 175 00:11:22,679 --> 00:11:25,880 Speaker 1: of you know, that margin by which we understand our 176 00:11:26,240 --> 00:11:31,360 Speaker 1: customer better has actually increased. Were in better competitive relative 177 00:11:31,400 --> 00:11:34,600 Speaker 1: competitive shape today than we were, uh you know, four 178 00:11:34,679 --> 00:11:37,120 Speaker 1: or five years ago when we had another bout of 179 00:11:37,120 --> 00:11:40,880 Speaker 1: competitive entry. Um. So I think it's it's more about 180 00:11:42,120 --> 00:11:45,080 Speaker 1: you know, leaving all of the the advantages that we 181 00:11:45,120 --> 00:11:48,280 Speaker 1: currently have. I don't think it's about finding a new 182 00:11:48,320 --> 00:11:51,920 Speaker 1: formula I think our formula wins today. Mark just a 183 00:11:51,920 --> 00:11:56,160 Speaker 1: little bit on the competition because a little more rather 184 00:11:56,400 --> 00:12:00,600 Speaker 1: because we know, so okay, Southwest United there Lisa said 185 00:12:00,600 --> 00:12:05,080 Speaker 1: they're upping their their schedules, but not from the West Coast, 186 00:12:05,679 --> 00:12:07,640 Speaker 1: and I think that might be Can you just give 187 00:12:07,640 --> 00:12:10,120 Speaker 1: a little bit of color there, because the West Coast 188 00:12:10,480 --> 00:12:13,400 Speaker 1: also has to do with your ability to maintain margins 189 00:12:13,440 --> 00:12:17,160 Speaker 1: and I'm wondering if you could speak to that issue. Yeah, 190 00:12:17,200 --> 00:12:19,920 Speaker 1: you know, with the exception of flying as far east 191 00:12:19,920 --> 00:12:23,920 Speaker 1: as New York, which we which we fly, as you 192 00:12:23,960 --> 00:12:28,640 Speaker 1: well know, most of our services come off the West Coast. Um. 193 00:12:28,720 --> 00:12:31,120 Speaker 1: Again that's that that's a market we know very well. 194 00:12:31,200 --> 00:12:34,079 Speaker 1: Most of the people UM coming off the West Coast 195 00:12:34,160 --> 00:12:38,439 Speaker 1: are flying on NonStop flights, are not making connections. Uh. 196 00:12:38,480 --> 00:12:41,840 Speaker 1: And they're the they're the uh. They're the sort of 197 00:12:41,840 --> 00:12:47,239 Speaker 1: customers who are most easily uh sort of directly marketed 198 00:12:47,400 --> 00:12:51,800 Speaker 1: to UM when you compare it to people in the 199 00:12:51,800 --> 00:12:54,880 Speaker 1: middle of the country who have to make connections. So UM, 200 00:12:54,920 --> 00:12:57,760 Speaker 1: when we go head to head off the West Coast, 201 00:12:58,640 --> 00:13:01,000 Speaker 1: as I say, we win an indeed, uh, if you 202 00:13:01,080 --> 00:13:03,920 Speaker 1: look at where we are now, we we have a 203 00:13:04,000 --> 00:13:08,480 Speaker 1: double digit revenue advantage over our competitors off the West coast. 204 00:13:08,880 --> 00:13:10,880 Speaker 1: All right, that's all right, So we got the West 205 00:13:10,880 --> 00:13:15,319 Speaker 1: coast challenge and strength. Tell us about the aircraft. Because 206 00:13:15,320 --> 00:13:19,000 Speaker 1: you're taking the new A three one Neo from air 207 00:13:19,120 --> 00:13:21,960 Speaker 1: Bus that's got twenty five fewer seats than the smallest 208 00:13:22,000 --> 00:13:25,080 Speaker 1: planes that you fly today on that West coast route, 209 00:13:25,360 --> 00:13:27,720 Speaker 1: and then you're also doing a reconfiguration of the A 210 00:13:27,880 --> 00:13:30,960 Speaker 1: three thirty, you're gonna have sixteen fewer seats which might 211 00:13:31,360 --> 00:13:34,400 Speaker 1: be able to offer that premium seating, and then it 212 00:13:34,440 --> 00:13:37,360 Speaker 1: offsets the other carrier's growth because it pulls a capacity 213 00:13:37,400 --> 00:13:40,520 Speaker 1: out of the market. Yeah. Well, we took the first 214 00:13:40,559 --> 00:13:44,520 Speaker 1: of our eighteen eight three one Neo aircraft into our 215 00:13:44,520 --> 00:13:46,520 Speaker 1: fleet just a couple of weeks ago. We're getting it 216 00:13:46,559 --> 00:13:49,719 Speaker 1: ready for service early in the new year. We're very 217 00:13:49,720 --> 00:13:53,880 Speaker 1: excited about this aircraft type. Um, you know, all airplanes are, 218 00:13:55,160 --> 00:13:58,199 Speaker 1: I mean, both manufacturers built terrific airplanes and they're all 219 00:13:58,600 --> 00:14:02,440 Speaker 1: optimized for certain kind of distances and certain market sizes. 220 00:14:02,960 --> 00:14:09,320 Speaker 1: It so happens aucle mile flight and the size nine 221 00:14:09,400 --> 00:14:14,880 Speaker 1: seats of the Neo makes it absolutely the best airplane 222 00:14:14,920 --> 00:14:17,839 Speaker 1: for the mission. And we think that is UH an 223 00:14:17,880 --> 00:14:23,120 Speaker 1: absolute competitive advantage of Visa the competitors flying other narrow bodies. 224 00:14:23,720 --> 00:14:26,360 Speaker 1: With respect to our wide body fleet, we're just completing 225 00:14:26,920 --> 00:14:29,520 Speaker 1: UH the introduction of life flat seats on all of 226 00:14:29,520 --> 00:14:33,720 Speaker 1: our wide body aircraft and we're seeing a phenomenal uptake 227 00:14:34,960 --> 00:14:39,600 Speaker 1: of of demand for those. It's and you know, we 228 00:14:39,600 --> 00:14:42,640 Speaker 1: always understood that would be important in the international marketplace. 229 00:14:42,720 --> 00:14:47,160 Speaker 1: I think what's been surprising and encouraging is to see 230 00:14:47,840 --> 00:14:51,840 Speaker 1: just how important it's become to the domestic marketplace as well. 231 00:14:52,320 --> 00:14:54,440 Speaker 1: Mark Duckerley, thank you so much for joining us, and 232 00:14:54,520 --> 00:14:58,080 Speaker 1: best of luck in the next chapter. Mark Dunkerley was 233 00:14:58,200 --> 00:15:03,160 Speaker 1: among the longest tenure chief executive officers in the airline industry. 234 00:15:03,680 --> 00:15:06,920 Speaker 1: He is current president chief executive officer of Hawaiian Holdings, 235 00:15:07,280 --> 00:15:10,040 Speaker 1: which is based in Honolulu, but he has said that 236 00:15:10,080 --> 00:15:12,840 Speaker 1: he will retire in March and be replaced by the 237 00:15:12,880 --> 00:15:18,200 Speaker 1: airline's chief commercial officer, Pete Ingram. This is after quite 238 00:15:18,200 --> 00:15:22,120 Speaker 1: a long tenure at the airline company. It seems like 239 00:15:22,760 --> 00:15:25,760 Speaker 1: I don't know him. Would you leave Honolulu? I guess 240 00:15:25,880 --> 00:15:28,200 Speaker 1: I wouldn't know. I've never lived there, but it seems 241 00:15:28,200 --> 00:15:43,960 Speaker 1: like a beautiful place to be Goldman Sachs has made 242 00:15:44,000 --> 00:15:49,320 Speaker 1: a big push into consumer lending via its Marcus online 243 00:15:49,480 --> 00:15:54,480 Speaker 1: lending system after starting it up in recent years, we 244 00:15:54,520 --> 00:15:57,760 Speaker 1: are now getting some data about what their lone loss 245 00:15:57,800 --> 00:16:01,400 Speaker 1: expectations are, as well as who they are lending to 246 00:16:02,000 --> 00:16:04,480 Speaker 1: and with us. Is Dacan Campbell, a financial reporter for 247 00:16:04,560 --> 00:16:08,440 Speaker 1: Bloomberg News, to talk a little bit about what we're seeing. Dacon, 248 00:16:08,600 --> 00:16:12,800 Speaker 1: you wrote this fantastic story looking at how Goldman says 249 00:16:13,040 --> 00:16:16,440 Speaker 1: that they're expecting loan losses that are lower than what 250 00:16:16,560 --> 00:16:18,800 Speaker 1: others in the industry would expect. Can you just sort 251 00:16:18,840 --> 00:16:22,160 Speaker 1: of lay out what you're talking about here? Yes, And 252 00:16:22,200 --> 00:16:25,200 Speaker 1: it's important to note that they actually didn't go as 253 00:16:25,280 --> 00:16:28,680 Speaker 1: far as you suggest they went. They didn't tell us 254 00:16:28,760 --> 00:16:31,600 Speaker 1: that the four percent losses that they disclosed in this 255 00:16:31,680 --> 00:16:33,720 Speaker 1: recent slide. They didn't say, those are going to be 256 00:16:33,880 --> 00:16:38,520 Speaker 1: losses for our portfolio. They said, hey, analysts and investors, 257 00:16:38,520 --> 00:16:43,000 Speaker 1: these are losses for a hypothetical industry portfolio, for a 258 00:16:43,040 --> 00:16:47,600 Speaker 1: business built at scale. Now, many analysts looked at that 259 00:16:47,880 --> 00:16:51,280 Speaker 1: and said, Okay, these are the losses that Goldman is 260 00:16:51,320 --> 00:16:55,080 Speaker 1: assuming for their own business. But it's it's important to 261 00:16:55,120 --> 00:16:58,440 Speaker 1: note that they didn't actually come out and be all right. So, 262 00:16:58,440 --> 00:17:01,040 Speaker 1: so you got some pushback they basically from the story 263 00:17:01,120 --> 00:17:03,440 Speaker 1: saying that Goldman wasn't saying that this was their projections, 264 00:17:04,000 --> 00:17:05,439 Speaker 1: but that you know, they put this out as a 265 00:17:05,480 --> 00:17:09,280 Speaker 1: hypothetical and people are saying they're hypothetical is too low. Nevertheless, 266 00:17:09,320 --> 00:17:11,679 Speaker 1: it's a benchmark. It's a benchmark, and it's a fascinating 267 00:17:11,720 --> 00:17:14,560 Speaker 1: benchmark at a time when Goldman Sachs is trying to 268 00:17:14,600 --> 00:17:18,560 Speaker 1: recreate its identity and is trying to plow more into 269 00:17:18,680 --> 00:17:21,120 Speaker 1: an industry that has been dominated by both credit card 270 00:17:21,200 --> 00:17:23,959 Speaker 1: lenders and peer to peer online lenders. Uh, can you 271 00:17:24,000 --> 00:17:27,520 Speaker 1: talk a little bit just about how ambitious Goldman Sacks 272 00:17:27,560 --> 00:17:31,000 Speaker 1: has been and why this is such a lucrative area 273 00:17:32,720 --> 00:17:36,879 Speaker 1: for banks. Sure, so, Uh, Goldman would like to A 274 00:17:36,920 --> 00:17:38,800 Speaker 1: couple of months ago, they told us they'd like to 275 00:17:38,880 --> 00:17:43,040 Speaker 1: originate thirteen billion in loans over the next three years 276 00:17:43,119 --> 00:17:46,160 Speaker 1: off of this platform. They started at thirteen months ago, 277 00:17:46,440 --> 00:17:50,240 Speaker 1: So they're ramping up very quickly. They've done two billion already, 278 00:17:50,320 --> 00:17:53,320 Speaker 1: so uh, they they'll need to do another eleven or 279 00:17:53,359 --> 00:17:58,080 Speaker 1: twelve billion. Uh. These are largely debt consolidation loans, so 280 00:17:58,440 --> 00:18:00,840 Speaker 1: they're going out to people who've got credit card debt 281 00:18:00,960 --> 00:18:04,800 Speaker 1: and offering them this money at a slightly lower interest 282 00:18:04,920 --> 00:18:08,679 Speaker 1: rate to retire that debt. As we all know, because 283 00:18:08,720 --> 00:18:10,760 Speaker 1: of the credit card debt that we may or may 284 00:18:10,760 --> 00:18:13,840 Speaker 1: not have ourselves, those have high interest rates, and so 285 00:18:14,240 --> 00:18:17,360 Speaker 1: Goldman thinks that that they can get in UH at 286 00:18:17,359 --> 00:18:21,359 Speaker 1: a slightly lower interest rate but still high UH. This 287 00:18:21,400 --> 00:18:24,440 Speaker 1: would be very lucrative for them. I mean they they 288 00:18:24,440 --> 00:18:26,919 Speaker 1: told us that the net interest margin. I don't want 289 00:18:26,920 --> 00:18:29,840 Speaker 1: to get too jargon e, but it's UH. Banks now 290 00:18:29,960 --> 00:18:32,560 Speaker 1: have net interest margins of two or three percent for 291 00:18:32,600 --> 00:18:34,920 Speaker 1: their entire business. Goldman thinks they can get in net 292 00:18:34,920 --> 00:18:39,120 Speaker 1: interest margin of ten per cent on this business. Okay, 293 00:18:39,160 --> 00:18:41,080 Speaker 1: just let me get a couple of details in here. 294 00:18:41,560 --> 00:18:44,359 Speaker 1: The maximum amount you can actually borrow on the markets 295 00:18:44,440 --> 00:18:47,560 Speaker 1: platform is thirty thou dollars. Correct. They make a big 296 00:18:47,600 --> 00:18:50,680 Speaker 1: deal of saying that there is no fee associated with it, 297 00:18:50,920 --> 00:18:54,480 Speaker 1: also that there is no pre payment penalty. First question. 298 00:18:54,560 --> 00:18:57,840 Speaker 1: Pre payment penalties are usually designed to make sure that 299 00:18:57,880 --> 00:19:00,840 Speaker 1: those who lend the money are given the feeling that 300 00:19:00,880 --> 00:19:04,800 Speaker 1: they will get this stream of interest payments continuously for 301 00:19:04,840 --> 00:19:08,200 Speaker 1: the life of the loan. What happens to those investors 302 00:19:08,320 --> 00:19:11,439 Speaker 1: or in the back of the situation, what happens to 303 00:19:11,480 --> 00:19:16,120 Speaker 1: those loans when they get prepaid? Good question. So one 304 00:19:16,520 --> 00:19:19,879 Speaker 1: competitive advantage that Goldman thinks they have is they're putting 305 00:19:19,880 --> 00:19:22,040 Speaker 1: all of these loans on their balance sheet, so they're 306 00:19:22,080 --> 00:19:25,760 Speaker 1: not selling any two investors. So in a pre payment, 307 00:19:26,040 --> 00:19:28,359 Speaker 1: if anyone takes the hit, they take the hit. Yes, 308 00:19:28,480 --> 00:19:31,200 Speaker 1: and they will take the money that's prepaid early, turn 309 00:19:31,320 --> 00:19:34,720 Speaker 1: right around and lend it out again. Okay, the second thing, 310 00:19:34,840 --> 00:19:38,119 Speaker 1: it says that you cannot use these loans for any 311 00:19:38,240 --> 00:19:44,760 Speaker 1: kind of remideration of student loan debt. Is that correct? 312 00:19:45,320 --> 00:19:48,800 Speaker 1: I believe so, and I believe that's a regulation. I'm 313 00:19:48,840 --> 00:19:52,000 Speaker 1: not exactly sure, but uh, they don't want you to 314 00:19:52,040 --> 00:19:53,840 Speaker 1: be doing that, all right. So this is really as 315 00:19:53,840 --> 00:19:56,400 Speaker 1: you just said, this is to try to consolidate your 316 00:19:56,440 --> 00:19:59,439 Speaker 1: loans and it's unsecured. This is this is this is 317 00:19:59,440 --> 00:20:03,480 Speaker 1: a large what a lot of the online lending marketplaces 318 00:20:03,520 --> 00:20:06,400 Speaker 1: have done, right, and this is lending club prosper It's 319 00:20:06,520 --> 00:20:10,720 Speaker 1: largely the same product. It's it's directly in competition with 320 00:20:10,840 --> 00:20:14,439 Speaker 1: credit cards basically to try to get them a a 321 00:20:14,480 --> 00:20:18,480 Speaker 1: lower rate, although still at we're not talking low rate here, 322 00:20:18,880 --> 00:20:20,520 Speaker 1: but It is fascinating to me. The first of all, 323 00:20:20,560 --> 00:20:23,880 Speaker 1: that Marcus is also plowing into non prime borrowers, which 324 00:20:23,880 --> 00:20:27,680 Speaker 1: is kind of interesting, uh in and of itself. Also, 325 00:20:27,720 --> 00:20:31,359 Speaker 1: how did Goldman Sachs do this, Because if they're lending it, 326 00:20:31,400 --> 00:20:33,160 Speaker 1: and they're putting the loans in their books, this comes 327 00:20:33,160 --> 00:20:35,840 Speaker 1: at a time when all the other banks are actually 328 00:20:36,040 --> 00:20:40,640 Speaker 1: reducing their consumer loans. Yes, and that's that was one 329 00:20:41,400 --> 00:20:43,880 Speaker 1: large part of our story, is that they're getting into 330 00:20:43,920 --> 00:20:47,719 Speaker 1: this business at a point when credit losses are lower 331 00:20:47,760 --> 00:20:50,800 Speaker 1: than they've almost ever been. So you're getting into a 332 00:20:50,800 --> 00:20:53,960 Speaker 1: business when credit losses are expected to go up. We've 333 00:20:53,960 --> 00:20:56,719 Speaker 1: had an eight year economic expansion. You've got to expect 334 00:20:56,760 --> 00:20:59,320 Speaker 1: that to come to an end at some point. If 335 00:20:59,320 --> 00:21:02,280 Speaker 1: you are doing the yourselves, you would not want to 336 00:21:02,280 --> 00:21:04,359 Speaker 1: get into a business at this point in the cycle. 337 00:21:04,480 --> 00:21:08,280 Speaker 1: It's almost the worst point to get into the business. Now. 338 00:21:08,280 --> 00:21:10,520 Speaker 1: What Goldman will tell you, and they've said this publicly, 339 00:21:11,040 --> 00:21:13,720 Speaker 1: is hey, we're getting this. We're building this for the 340 00:21:13,800 --> 00:21:16,919 Speaker 1: long haul, and doesn't really matter when we get into it, 341 00:21:16,960 --> 00:21:20,000 Speaker 1: because we'll take early losses and then a few years 342 00:21:20,000 --> 00:21:23,040 Speaker 1: down the line it'll be fine. This is you know, 343 00:21:23,200 --> 00:21:26,480 Speaker 1: multi year so take that for what you will, all right, 344 00:21:26,520 --> 00:21:28,760 Speaker 1: and thank you very much. They Can Campbell is our 345 00:21:28,800 --> 00:21:31,320 Speaker 1: financial reporter for Bloomberg News. You can follow him on 346 00:21:31,359 --> 00:21:34,000 Speaker 1: Twitter at Daycan Campbell, and I urge you to read 347 00:21:34,040 --> 00:21:37,359 Speaker 1: his story about Goldman Sachs and Marcus by Goldman Sax. 348 00:21:37,440 --> 00:21:53,320 Speaker 1: The online lending platforms Uber has disclosed that it paid 349 00:21:53,320 --> 00:21:56,080 Speaker 1: hackers a hundred thousand dollars in an effort to conceal 350 00:21:56,280 --> 00:22:01,280 Speaker 1: a data breach that affects fifty seven million accounts. But 351 00:22:01,359 --> 00:22:04,040 Speaker 1: this happened one year ago, So why are we only 352 00:22:04,119 --> 00:22:06,920 Speaker 1: learning about it now? Here to help us understand the 353 00:22:07,000 --> 00:22:10,959 Speaker 1: issue and its consequences, is Shira Ovid are Bloomberg Gadfly 354 00:22:11,200 --> 00:22:15,040 Speaker 1: columnist when it comes to everything technological? Sure, So maybe 355 00:22:15,040 --> 00:22:17,560 Speaker 1: just lay out some of the details as we know 356 00:22:17,720 --> 00:22:20,960 Speaker 1: them and what you believe the fallout will be right. So, 357 00:22:21,000 --> 00:22:26,640 Speaker 1: our colleague Eric Newcomer reported yesterday that Uber's board did 358 00:22:26,680 --> 00:22:30,080 Speaker 1: an investigation and discovered that there had been this data 359 00:22:30,119 --> 00:22:32,880 Speaker 1: breach in October of last year. So, as you said, 360 00:22:32,880 --> 00:22:37,159 Speaker 1: more than a year ago that affected personal information on 361 00:22:37,320 --> 00:22:42,639 Speaker 1: fifty seven million Uber writers and also hundreds of thousands 362 00:22:42,680 --> 00:22:47,160 Speaker 1: of US Uber drivers, and the company didn't disclose it 363 00:22:47,640 --> 00:22:51,159 Speaker 1: UM and instead paid hackers a hundred thousand dollars to 364 00:22:51,400 --> 00:22:55,280 Speaker 1: basically delete or say they would delete the personal information. 365 00:22:55,320 --> 00:22:56,600 Speaker 1: And that was kind of the end of it. It was, 366 00:22:56,680 --> 00:22:58,960 Speaker 1: you know, basically a cover up before we get to 367 00:22:59,040 --> 00:23:01,760 Speaker 1: the sort of ethic of not disclosing it. And the 368 00:23:01,800 --> 00:23:04,119 Speaker 1: fact that the New York Attorney General is now looking 369 00:23:04,160 --> 00:23:06,840 Speaker 1: into this and this could potentially add to the Uber's 370 00:23:07,400 --> 00:23:11,119 Speaker 1: legal woes. A hundred thousand dollars is nothing for what 371 00:23:11,240 --> 00:23:14,640 Speaker 1: these hackers charge, and it makes me wander, first of all, 372 00:23:14,680 --> 00:23:16,760 Speaker 1: whether this was sufficient. Second of all, what kind of 373 00:23:16,800 --> 00:23:20,000 Speaker 1: hack was this? Uh? And and third, you know, is 374 00:23:20,040 --> 00:23:22,600 Speaker 1: this uh? Is there more to this than perhaps they're 375 00:23:22,640 --> 00:23:24,840 Speaker 1: letting on? Yeah? These are all good questions. So I 376 00:23:24,880 --> 00:23:28,720 Speaker 1: will say that generally Uber has been regarded as having 377 00:23:28,840 --> 00:23:32,040 Speaker 1: a kind of robust security team. This is not a 378 00:23:32,040 --> 00:23:37,439 Speaker 1: company like Equifax, are previous giant cyber hack victim that 379 00:23:37,600 --> 00:23:41,359 Speaker 1: seemed fairly incompetent about keeping user data secure. Although the 380 00:23:41,400 --> 00:23:43,919 Speaker 1: irony of this Uber hack was that it happened at 381 00:23:43,960 --> 00:23:47,920 Speaker 1: the same time that Uber was trying to repair relations 382 00:23:48,440 --> 00:23:54,880 Speaker 1: with the Federal Trade Commission over previous misrepresentations of the 383 00:23:55,000 --> 00:23:59,679 Speaker 1: um security of Uber driver and writer information. So it's 384 00:23:59,720 --> 00:24:02,480 Speaker 1: sort of ironic that it was kind of being hacked 385 00:24:02,520 --> 00:24:05,600 Speaker 1: at the same time it was trying to repair relations 386 00:24:05,680 --> 00:24:09,480 Speaker 1: over previous breaches. Can you say this is a hack 387 00:24:09,560 --> 00:24:13,080 Speaker 1: and be hacked? Because isn't Uber the company that was 388 00:24:13,400 --> 00:24:18,119 Speaker 1: cited as being uh sort of the poster child for 389 00:24:18,480 --> 00:24:23,800 Speaker 1: using nefarious methodology in order to not only gain insight 390 00:24:23,880 --> 00:24:27,399 Speaker 1: into their competitors, to game the system of their competitors, 391 00:24:27,440 --> 00:24:32,880 Speaker 1: to flood the competitors system with bogus requests, and also, 392 00:24:33,040 --> 00:24:37,800 Speaker 1: as I recall, to manipulate the data that was accessible 393 00:24:38,320 --> 00:24:44,399 Speaker 1: to regulators in different municipalities. Yes, among the kind of 394 00:24:44,600 --> 00:24:48,639 Speaker 1: very long list of Uber's troubles over the years is 395 00:24:48,680 --> 00:24:54,520 Speaker 1: all of those things. In spied on writers um using 396 00:24:54,840 --> 00:24:58,000 Speaker 1: kind of an internal view of where people were going. 397 00:24:58,400 --> 00:25:01,640 Speaker 1: It used its data, manipulated its data to kind of 398 00:25:02,160 --> 00:25:05,000 Speaker 1: make sure that regulators who were trying to correct down 399 00:25:05,000 --> 00:25:08,720 Speaker 1: an Uber couldn't get rides and investigate your further. Yes, 400 00:25:08,760 --> 00:25:10,720 Speaker 1: all of those Okay, So if all right now, if 401 00:25:10,800 --> 00:25:13,760 Speaker 1: Uber says they're an asset light company, therefore they're not 402 00:25:13,800 --> 00:25:18,719 Speaker 1: a transport company, they're a technology company, what special sauce 403 00:25:18,800 --> 00:25:24,640 Speaker 1: does Uber now claim to have. That makes them distinctive 404 00:25:24,880 --> 00:25:29,439 Speaker 1: because if their technology is hackable, and clearly it is, 405 00:25:29,480 --> 00:25:32,200 Speaker 1: and they don't know how to disclose it. If they're 406 00:25:32,240 --> 00:25:34,720 Speaker 1: not a technology they know, they just decided not so 407 00:25:34,960 --> 00:25:36,760 Speaker 1: I mean, but to be fair, I mean, you know, 408 00:25:36,760 --> 00:25:38,640 Speaker 1: I haven't heard from their you know, their side. But 409 00:25:39,080 --> 00:25:42,160 Speaker 1: if that's the case, so what is this special magic 410 00:25:42,240 --> 00:25:45,119 Speaker 1: that they have? What what that demands a seventy billion 411 00:25:45,160 --> 00:25:47,840 Speaker 1: dollar valuation? That is a fair question. Although will say 412 00:25:47,840 --> 00:25:53,160 Speaker 1: that the information that was attacked was not Uber's algorithm, 413 00:25:53,240 --> 00:25:57,200 Speaker 1: which is a sophisticated way of kind of matching writer 414 00:25:57,400 --> 00:26:00,840 Speaker 1: and uh just everybody's license for you know, the driver's 415 00:26:00,880 --> 00:26:05,439 Speaker 1: licenses and personal uh credit cards. Right, they breached a 416 00:26:05,520 --> 00:26:08,680 Speaker 1: database of some personal information, although Uber said that it 417 00:26:08,720 --> 00:26:11,760 Speaker 1: doesn't include things like credit cards. Although you know, if 418 00:26:11,760 --> 00:26:15,040 Speaker 1: you're if you're a driver and includes your license plate number, 419 00:26:15,080 --> 00:26:18,920 Speaker 1: you might have serious concerns about your that information leaking out. 420 00:26:19,720 --> 00:26:22,119 Speaker 1: My issue is, I mean, look, hacks are going to happen. 421 00:26:22,200 --> 00:26:25,199 Speaker 1: Everyone who we have on this show whose in cybersecurity 422 00:26:25,240 --> 00:26:28,119 Speaker 1: says it's not a matter of if another hack will occur, 423 00:26:28,240 --> 00:26:31,240 Speaker 1: but when so, you know, you can't necessarily say, well, 424 00:26:31,320 --> 00:26:33,400 Speaker 1: Uber is going to go under now because they were hacked. 425 00:26:33,400 --> 00:26:35,240 Speaker 1: I mean, this is part of the course. Uh. The 426 00:26:35,320 --> 00:26:38,440 Speaker 1: question is the fact that they did not disclose this information, 427 00:26:38,440 --> 00:26:41,480 Speaker 1: and this raises some serious questions about the current CEO, 428 00:26:41,640 --> 00:26:45,160 Speaker 1: Kasar Shahi, what he knew, when he knew it, and 429 00:26:45,320 --> 00:26:48,639 Speaker 1: you know, how will his response determine the success of 430 00:26:48,640 --> 00:26:51,880 Speaker 1: this company. I think that's exactly right. The stunner here 431 00:26:51,920 --> 00:26:54,360 Speaker 1: to me is not so much the hack, although now 432 00:26:55,000 --> 00:26:59,040 Speaker 1: repeated breaches of personal information on Uber that is serious 433 00:26:59,080 --> 00:27:01,719 Speaker 1: and worrying. But you're right, it's the fact that they 434 00:27:01,760 --> 00:27:05,800 Speaker 1: didn't disclose this until for a year and and honestly, 435 00:27:05,840 --> 00:27:07,879 Speaker 1: based on some of the reporting I've seen today, they 436 00:27:08,000 --> 00:27:11,199 Speaker 1: might not have ever disclosed it except that Uber is 437 00:27:11,240 --> 00:27:14,280 Speaker 1: currently negotiating to sell billions of dollars in stock to 438 00:27:14,440 --> 00:27:17,760 Speaker 1: soft Bank, and the board believed that this was material 439 00:27:17,800 --> 00:27:20,880 Speaker 1: information that people who might sell shares to soft Bank 440 00:27:21,040 --> 00:27:23,399 Speaker 1: might want to know about, so we might not have 441 00:27:23,440 --> 00:27:26,480 Speaker 1: never known, And and the the techniques they used to 442 00:27:26,520 --> 00:27:29,520 Speaker 1: kind of cover this up raise more and more questions 443 00:27:29,560 --> 00:27:33,440 Speaker 1: about both the current and the former leadership at UPER, 444 00:27:33,480 --> 00:27:36,560 Speaker 1: which is why my column um yesterday was basically about, 445 00:27:37,040 --> 00:27:39,320 Speaker 1: you know, we need to know what. Travis Kallinik, the 446 00:27:39,400 --> 00:27:41,679 Speaker 1: CEO who got kind of pushed out over the summer, 447 00:27:42,000 --> 00:27:43,960 Speaker 1: What did he know about the cyber attack and the 448 00:27:44,080 --> 00:27:46,439 Speaker 1: cover up and why didn't he disclose it? Did he 449 00:27:46,480 --> 00:27:50,960 Speaker 1: tell the board? Did he tell the incoming CEO? Um, 450 00:27:51,080 --> 00:27:54,080 Speaker 1: There's just so many unanswered questions about his role in 451 00:27:54,119 --> 00:27:57,040 Speaker 1: this breach and his continued role of the company going forward. 452 00:27:57,480 --> 00:27:59,960 Speaker 1: Sure over Day, thank you so much for joining us. 453 00:28:00,080 --> 00:28:03,360 Speaker 1: As always, sure Oviday Bloomberg gad Fly columnists covering all 454 00:28:03,400 --> 00:28:06,440 Speaker 1: things tech. Her columns are great. You should read them 455 00:28:06,480 --> 00:28:09,920 Speaker 1: at Ni gad Fly on the Bloomberg or Bloomberg dot 456 00:28:09,920 --> 00:28:16,159 Speaker 1: com slash goad Fly on the web. Thanks for listening 457 00:28:16,160 --> 00:28:19,080 Speaker 1: to the Bloomberg P and L podcast. You can subscribe 458 00:28:19,080 --> 00:28:22,679 Speaker 1: and listen to interviews at Apple Podcasts, SoundCloud, or whatever 459 00:28:22,720 --> 00:28:26,200 Speaker 1: podcast platform you prefer. I'm pim Fox. I'm on Twitter 460 00:28:26,480 --> 00:28:30,000 Speaker 1: at pim Fox. I'm on Twitter at Lisa Abramo. It's 461 00:28:30,080 --> 00:28:33,080 Speaker 1: one before the podcast. You can always catch us worldwide 462 00:28:33,119 --> 00:28:34,040 Speaker 1: on Bloomberg Radio.