1 00:00:02,960 --> 00:00:08,680 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,960 --> 00:00:13,840 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 3 00:00:13,920 --> 00:00:17,040 Speaker 2: weekdays at ten am Eastern on Affo, cardplay and Android 4 00:00:17,040 --> 00:00:20,160 Speaker 2: Auto with the Bloomberg Business App. Listen on demand wherever 5 00:00:20,200 --> 00:00:24,520 Speaker 2: you get your podcasts, or watch us live on YouTube. 6 00:00:25,480 --> 00:00:28,480 Speaker 3: It feels like a quiet Monday, and the asset that's 7 00:00:28,520 --> 00:00:30,800 Speaker 3: moving is definitely gonna be Bitcoin and all the crypto 8 00:00:30,880 --> 00:00:33,600 Speaker 3: related stocks. We've got to go to Mike mcloon, Bloomberg Intelligence, 9 00:00:33,600 --> 00:00:36,720 Speaker 3: Senior Commodities Strategies. Not to mention that gold's little softer 10 00:00:36,840 --> 00:00:39,360 Speaker 3: at the moment, but that's also still at a record 11 00:00:39,400 --> 00:00:41,879 Speaker 3: for reasons. It's really hard, I think to pinpoint that 12 00:00:42,080 --> 00:00:44,400 Speaker 3: reason for it. Hey, Mike, first of all, start with 13 00:00:44,400 --> 00:00:48,760 Speaker 3: bitcoin here, what if you say having I mean, come on, now, 14 00:00:48,800 --> 00:00:50,240 Speaker 3: what else is leading this rally? 15 00:00:51,400 --> 00:00:54,120 Speaker 4: So it's mostly ETF inflows. 16 00:00:54,200 --> 00:00:57,520 Speaker 5: Alex it was about I think it was January tenth 17 00:00:57,720 --> 00:00:59,920 Speaker 5: that they're first launching his country. What it was almost 18 00:01:00,080 --> 00:01:02,440 Speaker 5: almost a dozen of them, and the inflows have been 19 00:01:02,480 --> 00:01:04,959 Speaker 5: shockingly strong. So I just looked in the numbers on 20 00:01:05,000 --> 00:01:08,160 Speaker 5: the terminal. Right now, the total mount tracking Bitcoin and 21 00:01:08,240 --> 00:01:11,480 Speaker 5: ETF now is about seventy billion dollars. I compare that 22 00:01:11,520 --> 00:01:13,560 Speaker 5: to gold, which is stuck around one hundred and eighty 23 00:01:13,560 --> 00:01:17,280 Speaker 5: four billion, it's about forty percent. So massive inflows and 24 00:01:17,319 --> 00:01:20,000 Speaker 5: the having the cut and supply basically around tax day. 25 00:01:20,040 --> 00:01:22,959 Speaker 5: It's a pretty significant sweet spot for bitcoin. But I 26 00:01:23,040 --> 00:01:26,280 Speaker 5: find most significant lately is the fact that bitcoin is 27 00:01:26,280 --> 00:01:29,280 Speaker 5: showing divergent strength versus beta, with the S and P 28 00:01:29,400 --> 00:01:30,720 Speaker 5: five hundred down this morning. 29 00:01:31,080 --> 00:01:31,280 Speaker 4: Yeah. 30 00:01:31,280 --> 00:01:33,360 Speaker 6: I guess one thing about bitcoin, though, is that is 31 00:01:33,360 --> 00:01:36,080 Speaker 6: a question about volume. We've got a supply shortage, and 32 00:01:36,160 --> 00:01:38,800 Speaker 6: yet there's tens of billions of dollars trading every day. 33 00:01:38,800 --> 00:01:40,199 Speaker 6: How do you square these two things. 34 00:01:41,360 --> 00:01:44,559 Speaker 5: Well, it's not so much a supply storage shortage. I guess, 35 00:01:44,560 --> 00:01:46,360 Speaker 5: it's just you can see it coming down. It's something 36 00:01:46,400 --> 00:01:48,840 Speaker 5: that it's the high price care that affects all commodities. 37 00:01:48,880 --> 00:01:50,680 Speaker 5: With the exception of gold, you don't have that supply 38 00:01:50,800 --> 00:01:52,960 Speaker 5: coming on with higher prices. But I love when you 39 00:01:53,000 --> 00:01:56,440 Speaker 5: mentioned volume because I love clicking on coin marketcap dot 40 00:01:56,440 --> 00:02:00,560 Speaker 5: com and checking volume and the volume of Heather, the 41 00:02:00,640 --> 00:02:03,600 Speaker 5: number one traded token of which is the US dollar, 42 00:02:03,680 --> 00:02:06,640 Speaker 5: is basically double bitcoin on a twenty four hour basis, 43 00:02:06,680 --> 00:02:08,600 Speaker 5: and it's it's market caps up to one hundred and 44 00:02:08,639 --> 00:02:10,639 Speaker 5: twenty one hundred and two billion now. So it's one 45 00:02:10,639 --> 00:02:12,000 Speaker 5: thing that a lot of people don't know in the 46 00:02:12,040 --> 00:02:15,680 Speaker 5: space is bitcoin is speculative. Yes, it's a replacement for gold. 47 00:02:15,720 --> 00:02:18,520 Speaker 5: It's a digital version. But in this space, the most 48 00:02:18,560 --> 00:02:20,400 Speaker 5: widely traded acid is the dollar. 49 00:02:21,639 --> 00:02:25,200 Speaker 3: When you look at say the offshoots of crypto, like 50 00:02:25,280 --> 00:02:29,520 Speaker 3: the stocks he exchanges, the miners, et cetera, are they 51 00:02:29,560 --> 00:02:31,760 Speaker 3: trading as well as the underlying asset. 52 00:02:32,639 --> 00:02:34,880 Speaker 5: Yes, well, I guess we have to mention micro strategy. 53 00:02:34,919 --> 00:02:36,800 Speaker 5: We've all heard Michael Saylor. I just saw him on 54 00:02:36,840 --> 00:02:39,720 Speaker 5: a few other programs. Chasing on a one year basis, 55 00:02:39,800 --> 00:02:42,840 Speaker 5: micro strategy is up almost six hundred percent compared to 56 00:02:42,880 --> 00:02:45,560 Speaker 5: bitcoin of two hundred and thirty percent. And the significance 57 00:02:45,600 --> 00:02:48,080 Speaker 5: of him is he's been buying bitcoin. He's one of 58 00:02:48,120 --> 00:02:50,320 Speaker 5: the stages that really got me somewh at Bullish a 59 00:02:50,360 --> 00:02:52,720 Speaker 5: few years ago when he's pointing out the history and 60 00:02:52,720 --> 00:02:55,040 Speaker 5: he says, hey, the world's going digital. This is a 61 00:02:55,240 --> 00:02:58,480 Speaker 5: potentially replacement of the dollar, not so much the dollar, 62 00:02:58,480 --> 00:03:01,520 Speaker 5: but of gold. And he's been converting a lot of 63 00:03:01,560 --> 00:03:04,959 Speaker 5: micro strategy strategy to buying bitcoin rather than doing other 64 00:03:05,000 --> 00:03:06,880 Speaker 5: things in technology. 65 00:03:06,800 --> 00:03:09,160 Speaker 6: I guess. But if you go back to your point 66 00:03:09,160 --> 00:03:11,919 Speaker 6: that we started out with on the ETF flows, I mean, 67 00:03:11,960 --> 00:03:15,200 Speaker 6: who are the winners and losers here amongst the ETF providers. 68 00:03:15,240 --> 00:03:17,760 Speaker 6: I mean, is this still a black Rock versus everyone 69 00:03:17,760 --> 00:03:20,799 Speaker 6: else story? Or is there something more interesting to think about. 70 00:03:20,600 --> 00:03:24,280 Speaker 5: That The biggest winner is great Scale. They're the ones, 71 00:03:24,280 --> 00:03:26,560 Speaker 5: so we got to remember they kind of tilted this over. 72 00:03:26,680 --> 00:03:29,480 Speaker 5: Michael Schoenstein of gray Scale is the one who initiated 73 00:03:29,520 --> 00:03:33,160 Speaker 5: the litigation with the SEC and he took a major risk. 74 00:03:33,240 --> 00:03:35,720 Speaker 5: I call it profiles and courage, and he won. So 75 00:03:35,840 --> 00:03:40,320 Speaker 5: right now, Grayscale, the GBTC, the Greyscale Bitcoin Trust is 76 00:03:40,400 --> 00:03:43,680 Speaker 5: about twenty eight billion, and the next is the I 77 00:03:43,840 --> 00:03:47,280 Speaker 5: Shares Bitcoin Trust about thirteen billion. But the thing about 78 00:03:47,320 --> 00:03:49,480 Speaker 5: I Shore's Bitcoin trust is that didn't exist just a 79 00:03:49,480 --> 00:03:51,720 Speaker 5: few months ago, and Grayscale was higher. So a lot 80 00:03:51,720 --> 00:03:54,080 Speaker 5: of that money's migrated. But now it's just net inflows, 81 00:03:54,080 --> 00:03:55,800 Speaker 5: and I think it's at the stage we're hearing this 82 00:03:55,840 --> 00:03:58,760 Speaker 5: from professional money managers are tilting that way. And that's 83 00:03:58,800 --> 00:04:01,600 Speaker 5: what really struck me. When to the ETF conference about 84 00:04:01,600 --> 00:04:06,160 Speaker 5: a month ago in Miami, Eric Belchuna's moderated panel, and 85 00:04:06,200 --> 00:04:09,360 Speaker 5: there was so much interest from these you know, i'd 86 00:04:09,360 --> 00:04:11,560 Speaker 5: say professional money manners in bitcoin. 87 00:04:12,000 --> 00:04:14,920 Speaker 3: Well that really that's my question. Do if all of 88 00:04:14,960 --> 00:04:18,080 Speaker 3: a sudden, Bitcoin, for whatever reason, sort of tanks twenty thousand, right, 89 00:04:18,160 --> 00:04:20,279 Speaker 3: it's super volatile asset, right, Like, no one's pretending that 90 00:04:20,279 --> 00:04:23,239 Speaker 3: it's not. Do those people that want a one percent 91 00:04:23,240 --> 00:04:26,200 Speaker 3: allocation in their portfolio to bitcoin care or is this 92 00:04:26,279 --> 00:04:30,600 Speaker 3: now a long buy and hold strategy with some traders 93 00:04:30,640 --> 00:04:31,839 Speaker 3: trading around the volatility. 94 00:04:33,000 --> 00:04:35,359 Speaker 5: Obviously it's the number one traded I like call it 95 00:04:35,360 --> 00:04:37,600 Speaker 5: the number one traded acid on the planet, twenty four 96 00:04:37,600 --> 00:04:39,800 Speaker 5: to seven, number one leading indicator alex. But I think 97 00:04:39,800 --> 00:04:41,840 Speaker 5: what's happening now is we're in the early days of 98 00:04:42,440 --> 00:04:46,520 Speaker 5: the institutional the rias in pension funds and downments getting 99 00:04:46,520 --> 00:04:49,480 Speaker 5: allocated in this space. They're starting with one percent. Yeah, 100 00:04:49,520 --> 00:04:52,520 Speaker 5: of course they care, but they're there. The back tests 101 00:04:52,520 --> 00:04:55,440 Speaker 5: look too good. Unfortunately. I like to pair it with gold, 102 00:04:55,680 --> 00:04:58,400 Speaker 5: and I think it's one of those spaces it's either 103 00:04:58,440 --> 00:04:59,000 Speaker 5: way it goes. 104 00:04:59,040 --> 00:05:01,719 Speaker 4: It's just it's just early days those inflows. 105 00:05:01,760 --> 00:05:03,800 Speaker 5: What thing really shocked me was I didn't think there 106 00:05:03,839 --> 00:05:06,800 Speaker 5: would be that much interest in these ETFs. 107 00:05:06,560 --> 00:05:08,360 Speaker 4: And you just got to follow the money. It's very 108 00:05:08,400 --> 00:05:09,280 Speaker 4: strong inflows. 109 00:05:09,480 --> 00:05:11,440 Speaker 6: Yeah, you know, as you say, it's early days for 110 00:05:11,520 --> 00:05:15,279 Speaker 6: this ETF strategy. And how do you compare this to 111 00:05:15,320 --> 00:05:18,080 Speaker 6: the birth of other ETF's markets, Like what can we expect? 112 00:05:18,120 --> 00:05:20,599 Speaker 6: Can we expect a whole lot more players or is 113 00:05:20,640 --> 00:05:22,440 Speaker 6: it all going to get weeded out very quickly? 114 00:05:23,480 --> 00:05:25,760 Speaker 5: That's the thing. It's broken all the records. Compared to 115 00:05:25,880 --> 00:05:29,760 Speaker 5: GLD or even SPY their early days, it's broken all 116 00:05:29,800 --> 00:05:32,520 Speaker 5: the records. It's it's basically the benchmark now for it, 117 00:05:32,640 --> 00:05:34,200 Speaker 5: and I don't think we'll ever be able to match it. 118 00:05:34,200 --> 00:05:37,320 Speaker 5: The thing is, I compare it somewhat into Tesla. Tesla 119 00:05:37,400 --> 00:05:40,719 Speaker 5: pays pays, spends nothing on advertising. They don't have to 120 00:05:40,880 --> 00:05:43,799 Speaker 5: because everybody loves Tesla. Bitcoins the same way. There's nothing 121 00:05:43,800 --> 00:05:46,520 Speaker 5: to advertise it. But it's so in your face. It's 122 00:05:46,520 --> 00:05:48,159 Speaker 5: one of those things I put on my d E lists. 123 00:05:48,200 --> 00:05:50,560 Speaker 5: I try to deliberately ignore, but I can't because you 124 00:05:50,640 --> 00:05:51,560 Speaker 5: just hear about it and. 125 00:05:51,560 --> 00:05:53,880 Speaker 4: Read about it everywhere. So that to me is what's happening. 126 00:05:53,880 --> 00:05:57,240 Speaker 5: And it's just that significant of an asset at the moment, 127 00:05:57,360 --> 00:06:00,719 Speaker 5: and at some point, yes, it should have a good correction. 128 00:06:00,800 --> 00:06:02,640 Speaker 5: The key thing that's been bothering me is we've had 129 00:06:02,720 --> 00:06:04,919 Speaker 5: basically straight up in the S and B five hundred 130 00:06:04,920 --> 00:06:06,039 Speaker 5: since the low in October. 131 00:06:06,320 --> 00:06:06,960 Speaker 4: No correction. 132 00:06:07,040 --> 00:06:09,280 Speaker 5: The most significant correction was the first week of the 133 00:06:09,320 --> 00:06:11,479 Speaker 5: year is one point five percent. But we've had good 134 00:06:11,480 --> 00:06:14,120 Speaker 5: corrections in gold, which founded a good foundation. We've had 135 00:06:14,120 --> 00:06:17,159 Speaker 5: good corrections at bitcoin, which formed a good foundation, you know, 136 00:06:17,240 --> 00:06:19,680 Speaker 5: flushes out the week longs. We haven't had that in 137 00:06:19,680 --> 00:06:21,680 Speaker 5: the stock market, and that's what I'm afraid we're way 138 00:06:21,720 --> 00:06:23,760 Speaker 5: over due for it. Just a normal ten percent correction, 139 00:06:23,839 --> 00:06:26,200 Speaker 5: you know, like used to happen. How does bitcoin respond 140 00:06:26,240 --> 00:06:28,120 Speaker 5: in that space? And I think what's happening now, Sure 141 00:06:28,160 --> 00:06:30,480 Speaker 5: it should go down, but we think the responsive buyers 142 00:06:30,480 --> 00:06:32,120 Speaker 5: will be greater in bitcoin. 143 00:06:31,880 --> 00:06:33,960 Speaker 3: So basically it's going to go down less. This is 144 00:06:34,040 --> 00:06:37,040 Speaker 3: totally the classic gold argument too, like when everything goes down, 145 00:06:37,120 --> 00:06:39,440 Speaker 3: so does gold, but it goes down less Bitcoin the same. 146 00:06:39,480 --> 00:06:42,440 Speaker 5: Then, yes, well it did initially two thousand and eight. 147 00:06:42,480 --> 00:06:44,640 Speaker 5: But the difference with gold now is it it's basically 148 00:06:44,680 --> 00:06:47,120 Speaker 5: been unchanged for three years. It's had that time correction, 149 00:06:47,400 --> 00:06:49,760 Speaker 5: it's had that little correction this year down to two thousand, 150 00:06:50,080 --> 00:06:52,159 Speaker 5: and that's the difference with the S and B five hundred. 151 00:06:52,160 --> 00:06:54,000 Speaker 4: I love watching the E mini weeklies. I used to 152 00:06:54,040 --> 00:06:54,440 Speaker 4: trade them. 153 00:06:54,440 --> 00:06:57,360 Speaker 5: There's a gap and WENT mini weeklies from last year 154 00:06:57,400 --> 00:06:59,080 Speaker 5: when we broke out and the Powell pivot. 155 00:06:59,320 --> 00:07:01,440 Speaker 4: It's about TEMP ten percent below the market. 156 00:07:01,480 --> 00:07:03,400 Speaker 5: We've never left the gap in the S and P 157 00:07:03,600 --> 00:07:06,560 Speaker 5: mini since trading A nineteen ninety seven on a weekly basis, 158 00:07:06,800 --> 00:07:08,120 Speaker 5: So that kind of stuff concerns me. 159 00:07:09,600 --> 00:07:12,160 Speaker 6: Okay, one last question for you if you don't mind. 160 00:07:12,520 --> 00:07:15,080 Speaker 3: For bitcoin mines. He doesn't like talking about bitcoin at all. 161 00:07:15,240 --> 00:07:17,160 Speaker 6: No, No, I think I'll think I'll just say this one. 162 00:07:17,200 --> 00:07:18,400 Speaker 3: I want to get out of here. Back to the song. 163 00:07:18,480 --> 00:07:21,280 Speaker 6: If we do see an SMP correction anytime this year, 164 00:07:21,880 --> 00:07:23,320 Speaker 6: how do you what do you think the margin's going 165 00:07:23,400 --> 00:07:25,640 Speaker 6: to be like between the Bitcoin correction and the SMP correction. 166 00:07:26,520 --> 00:07:29,920 Speaker 5: Typically Bitcoin trades with about a three x beta or 167 00:07:30,040 --> 00:07:33,440 Speaker 5: three x volatility. You know, if it SMP corrects ten percent, 168 00:07:33,480 --> 00:07:36,040 Speaker 5: Bitcoin goes down thirty percent. But what it's showing right 169 00:07:36,120 --> 00:07:38,640 Speaker 5: now is divergent strength. As you see it today, S 170 00:07:38,720 --> 00:07:42,160 Speaker 5: and P five hundreds down, Bitcoin's up. So if it 171 00:07:42,240 --> 00:07:45,000 Speaker 5: was put this way, a successful divergent strength with to 172 00:07:45,040 --> 00:07:47,920 Speaker 5: save the SMP five five hundred corrects ten percent and 173 00:07:47,920 --> 00:07:50,720 Speaker 5: bitcoin corrects only ten or fifteen percent. That's a sign 174 00:07:50,760 --> 00:07:54,360 Speaker 5: of divergent strength. Right now, stock market's going up and bitcoins. 175 00:07:54,440 --> 00:07:56,720 Speaker 5: I'm sorry, stock Mark's going down and bitcoin's going up. Now, 176 00:07:56,800 --> 00:07:59,520 Speaker 5: that's somewhat unstoppable for money flows. If people see this 177 00:07:59,560 --> 00:08:02,280 Speaker 5: as a ursa fire's going to be. It's gonna just 178 00:08:02,960 --> 00:08:04,880 Speaker 5: the horde will come. And that's what I'm afraid of. 179 00:08:05,400 --> 00:08:07,640 Speaker 3: Hey, my really good perspective. Love that you look a 180 00:08:07,680 --> 00:08:09,720 Speaker 3: little tan. How's that sun there in Florida? 181 00:08:10,040 --> 00:08:12,040 Speaker 4: It's it's rough. I mean, the vitamin D is great, 182 00:08:12,120 --> 00:08:12,720 Speaker 4: keeps you healthy. 183 00:08:13,560 --> 00:08:17,000 Speaker 3: Mike mcgloan, Paul SMENI always jealous that Mike. When is 184 00:08:17,000 --> 00:08:19,600 Speaker 3: his way to Florida? Mike mcgloan, he covers everything a 185 00:08:19,640 --> 00:08:24,680 Speaker 3: commodities research focused for a Bloomberg Intelligence. I mean I 186 00:08:24,680 --> 00:08:26,680 Speaker 3: think that once I get positive on bitcoin, then we 187 00:08:26,720 --> 00:08:27,960 Speaker 3: probably have a problem. 188 00:08:28,200 --> 00:08:30,560 Speaker 6: Oh that would definitely be a signal for myself if 189 00:08:30,600 --> 00:08:32,360 Speaker 6: I'm starting to look at it, and that would mean 190 00:08:32,400 --> 00:08:33,360 Speaker 6: so that right, I. 191 00:08:33,360 --> 00:08:34,880 Speaker 3: Mean, that's what I'm looking at. But it's going to 192 00:08:34,920 --> 00:08:36,839 Speaker 3: be interesting. I think just in terms of how much 193 00:08:36,840 --> 00:08:40,160 Speaker 3: portfolios wind up allocating, right, Like I remember this with gold, 194 00:08:40,200 --> 00:08:41,520 Speaker 3: I mean back in the day. You know, if you 195 00:08:41,520 --> 00:08:44,520 Speaker 3: have central banks reallocate by one per extra percent, it 196 00:08:44,520 --> 00:08:46,640 Speaker 3: would be a huge boon to gold prices. And you 197 00:08:46,679 --> 00:08:49,040 Speaker 3: have to wonder beating a ten percent portfolio for people 198 00:08:49,080 --> 00:08:50,680 Speaker 3: or is it really just going to be one percent? 199 00:08:51,120 --> 00:08:53,440 Speaker 3: And that what that shift actually winds up looking like. 200 00:08:53,640 --> 00:08:55,520 Speaker 6: But that's the issue. It's like where does central banks 201 00:08:55,520 --> 00:08:57,800 Speaker 6: stand on the matter. And there's a lot of unhappy 202 00:08:58,000 --> 00:09:00,480 Speaker 6: not unhappiness, but a lot of reluctance. I mean, Powell 203 00:09:00,559 --> 00:09:03,440 Speaker 6: last week said pretty firmly the FED is not anywhere 204 00:09:03,480 --> 00:09:05,560 Speaker 6: near there yet. So we're not going to have that 205 00:09:05,640 --> 00:09:07,240 Speaker 6: dynamic anytime soon to worry about. 206 00:09:07,360 --> 00:09:09,439 Speaker 3: John Tucker, you got bitcoin that portfolio? 207 00:09:09,760 --> 00:09:12,480 Speaker 7: Uh no, that's the one. I don't have. 208 00:09:12,679 --> 00:09:13,679 Speaker 3: The crypto stocks. 209 00:09:14,000 --> 00:09:14,679 Speaker 4: My no. 210 00:09:15,080 --> 00:09:18,640 Speaker 7: My philosophy is if you don't understand its, stay far 211 00:09:18,760 --> 00:09:19,319 Speaker 7: far away. 212 00:09:19,960 --> 00:09:21,640 Speaker 3: I know, but at some point we're gonna look at 213 00:09:21,679 --> 00:09:22,800 Speaker 3: it and be like, we got to get into that. 214 00:09:24,400 --> 00:09:28,280 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 215 00:09:28,360 --> 00:09:31,440 Speaker 2: weekdays at ten am Eastern on Apple car Play and 216 00:09:31,440 --> 00:09:34,360 Speaker 2: Android Auto with the Bloomberg Business app. You can also 217 00:09:34,440 --> 00:09:37,920 Speaker 2: listen live on Amazon Alexa from our flagship New York station. 218 00:09:38,280 --> 00:09:41,040 Speaker 2: Just say Alexa play Bloomberg eleven thirty. 219 00:09:41,760 --> 00:09:44,600 Speaker 3: Okay, so markets, let's be honest, not doing that much. 220 00:09:44,640 --> 00:09:46,199 Speaker 3: We're looking at that weakness and meta that we were 221 00:09:46,200 --> 00:09:48,640 Speaker 3: just talking about. We're kind of questioning if bitcoin's going 222 00:09:48,679 --> 00:09:51,480 Speaker 3: to keep rallying, if an ASDAC doesn't really get any 223 00:09:52,120 --> 00:09:54,880 Speaker 3: support here. And my big question, of course, throughout the 224 00:09:54,880 --> 00:09:57,640 Speaker 3: whole two hours is I will find someone who has 225 00:09:57,679 --> 00:09:59,840 Speaker 3: watched the oscars and can talk with me about I'm 226 00:09:59,880 --> 00:10:03,440 Speaker 3: just ken. Maybe this person will be Sarah Ponzick, financial 227 00:10:03,480 --> 00:10:06,079 Speaker 3: advisor at UBS Private Wealth Management. Is it? 228 00:10:06,120 --> 00:10:06,360 Speaker 8: Is it? 229 00:10:06,400 --> 00:10:07,800 Speaker 3: Sarah? Are you that person for me? 230 00:10:09,120 --> 00:10:14,400 Speaker 9: Alex, I'm so sorry to disappoint you, but no. Last night, 231 00:10:14,600 --> 00:10:17,280 Speaker 9: but I have seen Barbie, but no, I didn't watch. 232 00:10:19,160 --> 00:10:21,760 Speaker 3: This does not count Sarah. You okay? 233 00:10:21,800 --> 00:10:22,120 Speaker 8: All right? 234 00:10:22,160 --> 00:10:23,800 Speaker 3: Well this is actually going to be a thing. This 235 00:10:23,880 --> 00:10:25,959 Speaker 3: is Will I find someone in the next hour and 236 00:10:26,000 --> 00:10:28,280 Speaker 3: a half that has seen the oscars that can talk 237 00:10:28,320 --> 00:10:31,360 Speaker 3: about I'm just Ken? In the meantime, Sarah, let's talk 238 00:10:31,400 --> 00:10:33,679 Speaker 3: about the markets. What do you make of this? 239 00:10:33,800 --> 00:10:33,880 Speaker 4: Uh? 240 00:10:34,160 --> 00:10:36,559 Speaker 10: Oscars are more important, right, I know, I. 241 00:10:36,520 --> 00:10:40,280 Speaker 3: Mean to them for Sureticlarly for Disney, they did really well. 242 00:10:41,200 --> 00:10:43,560 Speaker 3: They did, they did. Yeah, they probably were very happy 243 00:10:43,559 --> 00:10:48,559 Speaker 3: about that. Anyway, Sarah, Nvidia losing a little bit of steam. 244 00:10:48,600 --> 00:10:51,000 Speaker 3: It's flat right now, Meta kind of rolling over. What's 245 00:10:51,040 --> 00:10:52,640 Speaker 3: your read on tech right now? 246 00:10:53,880 --> 00:10:54,040 Speaker 10: Right? 247 00:10:54,120 --> 00:10:56,440 Speaker 9: So it's only natural that we are seeing some of 248 00:10:56,480 --> 00:10:58,880 Speaker 9: these big tech names taking a breather. 249 00:11:00,080 --> 00:11:02,000 Speaker 10: We can't see them continue to. 250 00:11:01,960 --> 00:11:04,520 Speaker 9: Power higher and higher and higher at the rate of 251 00:11:04,600 --> 00:11:08,640 Speaker 9: what we've seen over the past year, let's say. But 252 00:11:08,800 --> 00:11:13,000 Speaker 9: with that said, we're still pretty optimistic on tech here, 253 00:11:13,600 --> 00:11:14,120 Speaker 9: and there's. 254 00:11:13,920 --> 00:11:15,720 Speaker 10: A couple of reasons for that. One. 255 00:11:15,960 --> 00:11:21,439 Speaker 9: Yes, AI has this massive buzzword, but when you look 256 00:11:21,480 --> 00:11:24,880 Speaker 9: at the underlying fundamentals and you look at the amount 257 00:11:24,920 --> 00:11:28,960 Speaker 9: of money that companies are spending on infrastructure, spend on 258 00:11:29,000 --> 00:11:31,400 Speaker 9: technology to make sure that they are at the forefront 259 00:11:31,440 --> 00:11:34,800 Speaker 9: of their AI game, we sow it and in Video's 260 00:11:34,840 --> 00:11:39,040 Speaker 9: earnings just a few weeks ago, there is actually truth 261 00:11:39,120 --> 00:11:42,719 Speaker 9: to this, and our Chief Investment office actually estimates that 262 00:11:42,800 --> 00:11:47,240 Speaker 9: AI revenues are going to grow seventy percent a year 263 00:11:47,760 --> 00:11:51,240 Speaker 9: through twenty twenty seven, so massive growth aheads. So there 264 00:11:51,320 --> 00:11:55,520 Speaker 9: is reason that and there are numbers, frankly that are 265 00:11:55,640 --> 00:11:56,560 Speaker 9: driving this rally. 266 00:11:56,600 --> 00:11:58,199 Speaker 10: So we're still optimistic on tech. 267 00:11:58,480 --> 00:12:02,440 Speaker 9: That doesn't mean that these magnificent companies are your entire 268 00:12:02,480 --> 00:12:05,120 Speaker 9: equity portfolio. But what it does mean is you want 269 00:12:05,120 --> 00:12:06,120 Speaker 9: to make sure that you're. 270 00:12:05,920 --> 00:12:09,199 Speaker 10: Not under exposed to tech. You don't want so much. 271 00:12:09,080 --> 00:12:11,680 Speaker 9: Less tech than your portfolio than the benchmark, per se, 272 00:12:12,120 --> 00:12:15,880 Speaker 9: because the risk here is really missing out and being 273 00:12:16,000 --> 00:12:19,120 Speaker 9: under exposed to what might be one of the greatest 274 00:12:19,120 --> 00:12:21,920 Speaker 9: growth trends in the stock market over the next decade. 275 00:12:22,080 --> 00:12:23,559 Speaker 6: I want to push you a little bit on your 276 00:12:23,600 --> 00:12:27,000 Speaker 6: point about companies continuing to spend and invest. I mean, 277 00:12:27,040 --> 00:12:29,960 Speaker 6: what's your outlook for companies to continue to have strong 278 00:12:30,040 --> 00:12:32,959 Speaker 6: power to do that, because you know what's the market 279 00:12:32,960 --> 00:12:34,960 Speaker 6: thinking about now. They're thinking about the FED meeting coming 280 00:12:35,040 --> 00:12:37,200 Speaker 6: up next week and the prospects for a soft landing. 281 00:12:37,600 --> 00:12:40,719 Speaker 6: If there is slow down, then that would set the 282 00:12:40,760 --> 00:12:43,640 Speaker 6: read across to that for company spending would be reduced spending. 283 00:12:44,040 --> 00:12:45,680 Speaker 6: So how do you put these two things together? 284 00:12:46,679 --> 00:12:50,360 Speaker 9: You're right, and we've seen that run and center over 285 00:12:50,400 --> 00:12:52,920 Speaker 9: the past couple of years, especially in the technology space. 286 00:12:52,960 --> 00:12:56,080 Speaker 9: We have seen some technology companies that for years they've 287 00:12:56,080 --> 00:13:01,120 Speaker 9: been known for having vast expansive workforces, go through a 288 00:13:01,160 --> 00:13:02,439 Speaker 9: series of layoffs, and. 289 00:13:02,400 --> 00:13:04,760 Speaker 10: They have been doing cost cuts. But when you think 290 00:13:04,760 --> 00:13:05,440 Speaker 10: about the. 291 00:13:05,320 --> 00:13:08,560 Speaker 9: Overall economy and not just the US economy, the global economy, 292 00:13:08,800 --> 00:13:12,599 Speaker 9: and when companies are sitting in a room together and 293 00:13:12,640 --> 00:13:14,800 Speaker 9: they're thinking about what is the most important thing for 294 00:13:14,880 --> 00:13:19,640 Speaker 9: us to be spending our revenues on in the years ahead, 295 00:13:19,640 --> 00:13:22,600 Speaker 9: the decade ahead. Oftentimes, and we've heard this in earnings calls, 296 00:13:23,320 --> 00:13:27,640 Speaker 9: it's artificial intelligence because many companies know that again they 297 00:13:27,679 --> 00:13:31,199 Speaker 9: can't risk falling behind, they don't want to risk their 298 00:13:31,240 --> 00:13:33,680 Speaker 9: competitors serving ahead of them. 299 00:13:33,920 --> 00:13:35,199 Speaker 10: So, yes, you're absolutely right. 300 00:13:35,280 --> 00:13:37,520 Speaker 9: We have seen companies cost cutting, and those that have 301 00:13:37,559 --> 00:13:38,480 Speaker 9: been cost cutting have. 302 00:13:38,600 --> 00:13:40,600 Speaker 10: Been rewarded for that. 303 00:13:40,960 --> 00:13:43,160 Speaker 9: But when it comes to deciding where you want to 304 00:13:43,200 --> 00:13:46,640 Speaker 9: spend your money, tech spend has still been very important. 305 00:13:47,040 --> 00:13:49,599 Speaker 3: So, Sarah, if though we take a little bit of 306 00:13:49,679 --> 00:13:51,480 Speaker 3: breather intech, do you think that there's enough of a 307 00:13:51,600 --> 00:13:55,240 Speaker 3: powerful rotation into other areas of the market, aka some 308 00:13:55,360 --> 00:13:57,800 Speaker 3: kind of value in cyclicals to help support the overall 309 00:13:57,840 --> 00:13:59,840 Speaker 3: index or we're just going to see some level of softness. 310 00:14:00,200 --> 00:14:03,439 Speaker 10: All so, we have seen a broadening out. Absolutely. 311 00:14:03,480 --> 00:14:05,440 Speaker 9: We have seen a broadening out since late last year 312 00:14:05,720 --> 00:14:08,120 Speaker 9: and even more so this year, and we do expect 313 00:14:08,160 --> 00:14:10,840 Speaker 9: that to continue. So to give you an idea, yes, 314 00:14:11,160 --> 00:14:13,760 Speaker 9: we do like technology here, but a couple of other 315 00:14:13,800 --> 00:14:16,800 Speaker 9: sectors we still like here are healthcare and industrials. 316 00:14:17,040 --> 00:14:18,240 Speaker 10: A few reasons for that. 317 00:14:18,320 --> 00:14:21,200 Speaker 9: One is healthcare can be seen as a more defensive 318 00:14:21,240 --> 00:14:23,920 Speaker 9: area if you want to diversify your portfolio, but has 319 00:14:24,000 --> 00:14:27,880 Speaker 9: also had a major boost from all these OBESD drugs 320 00:14:27,880 --> 00:14:30,320 Speaker 9: that have just exploded in popularity. 321 00:14:30,640 --> 00:14:32,480 Speaker 10: Industrials, that's more of a cyclical play. 322 00:14:32,800 --> 00:14:36,160 Speaker 9: If we truly do see this goldilocks economic scenario in 323 00:14:36,200 --> 00:14:38,840 Speaker 9: a soft landing, which has come to be the base case, 324 00:14:39,120 --> 00:14:41,720 Speaker 9: you would expect that more cyclical areas of the economy 325 00:14:42,160 --> 00:14:44,200 Speaker 9: are going to start doing some of the heavy lifting. 326 00:14:44,200 --> 00:14:46,920 Speaker 9: It's not going to be tech alone. So yes, even 327 00:14:46,920 --> 00:14:49,560 Speaker 9: if we do see tech take a breather, look, we're 328 00:14:49,600 --> 00:14:51,680 Speaker 9: probably not going to see the same returns that we 329 00:14:51,760 --> 00:14:54,200 Speaker 9: saw last year in the SMB and then ADDAC, but 330 00:14:54,560 --> 00:14:57,120 Speaker 9: you could still see positive returns going forwards for equity 331 00:14:57,160 --> 00:15:01,400 Speaker 9: markets as we start to see other sectors other industries 332 00:15:01,400 --> 00:15:01,800 Speaker 9: pull their. 333 00:15:01,760 --> 00:15:02,360 Speaker 10: Weight as well. 334 00:15:02,920 --> 00:15:05,360 Speaker 6: What's the sector that you think it's gonna be suffering 335 00:15:05,440 --> 00:15:06,440 Speaker 6: the most going ahead. 336 00:15:07,840 --> 00:15:11,120 Speaker 10: It's a great question. What I would say. 337 00:15:11,360 --> 00:15:13,040 Speaker 9: Certain areas of the market that we haven't been huge 338 00:15:13,040 --> 00:15:17,960 Speaker 9: fans of lately have been utilities real estate. Some of 339 00:15:18,000 --> 00:15:21,120 Speaker 9: that was a yield play with interest weights where they are, 340 00:15:21,720 --> 00:15:26,080 Speaker 9: you don't really need to go find higher paying dividend 341 00:15:26,160 --> 00:15:30,200 Speaker 9: stocks or bond proxies in the sense of utilities. But 342 00:15:30,440 --> 00:15:32,680 Speaker 9: it's just not an area that we've favored so far. 343 00:15:34,120 --> 00:15:37,320 Speaker 3: What is your thought though on Bitcoin? Let's kind of 344 00:15:37,360 --> 00:15:39,440 Speaker 3: end where we left off, which is the idea of Okay, 345 00:15:40,040 --> 00:15:43,560 Speaker 3: you have this tech softness, Bitcoin's on a tear, and 346 00:15:43,640 --> 00:15:46,560 Speaker 3: having tech be a teeny bit softer and Bitcoin doing 347 00:15:46,600 --> 00:15:48,800 Speaker 3: really well is a bit of a head scratcher. So 348 00:15:48,840 --> 00:15:50,360 Speaker 3: I'm wondering what you think about it. 349 00:15:51,720 --> 00:15:53,760 Speaker 9: I should have known coming into this that you would 350 00:15:53,760 --> 00:15:55,640 Speaker 9: ask me about the oscars and Bitcoin. 351 00:15:57,040 --> 00:15:57,760 Speaker 3: I really should have. 352 00:15:58,560 --> 00:16:01,800 Speaker 10: I should have known. This is what I would say. 353 00:16:02,640 --> 00:16:06,680 Speaker 9: There really are still no fundamental drivers behind bitcoin. Yes, 354 00:16:06,720 --> 00:16:09,480 Speaker 9: there has been a massive rust to the space ever 355 00:16:09,520 --> 00:16:12,600 Speaker 9: since launch of bitcoin ets. It's just made it much 356 00:16:12,720 --> 00:16:15,960 Speaker 9: easier for investors to get a piece of it. I 357 00:16:16,000 --> 00:16:18,880 Speaker 9: will say crypto is becoming it is an asset class. 358 00:16:18,920 --> 00:16:19,480 Speaker 10: It's not becoming. 359 00:16:19,520 --> 00:16:23,480 Speaker 9: It is an asset class, and for many it has 360 00:16:23,520 --> 00:16:28,800 Speaker 9: become a small component of portfolios as a diversified portfolio. 361 00:16:29,320 --> 00:16:32,360 Speaker 9: But at the same time, before any investor is going 362 00:16:32,400 --> 00:16:35,160 Speaker 9: to dip their toes into the bitcoin market or the 363 00:16:35,200 --> 00:16:38,000 Speaker 9: crypto market, especially at the levels we see bitcoin trading 364 00:16:38,040 --> 00:16:40,240 Speaker 9: at now, you have to look yourself in the mirror 365 00:16:40,360 --> 00:16:43,120 Speaker 9: and ask yourself if you if you're okay and you're 366 00:16:43,160 --> 00:16:46,080 Speaker 9: prepared and willing to tolerate the volatility that that's going 367 00:16:46,080 --> 00:16:48,560 Speaker 9: to come with, because yes, it's been a straight shot 368 00:16:48,640 --> 00:16:51,120 Speaker 9: up over the last year, but we you know, people 369 00:16:51,160 --> 00:16:52,359 Speaker 9: have amnesia. 370 00:16:52,480 --> 00:16:53,920 Speaker 10: The same thing with tech stocks too. 371 00:16:54,080 --> 00:16:56,600 Speaker 9: Yeah, everyone remembers twenty twenty three in which tech ran 372 00:16:56,680 --> 00:16:58,760 Speaker 9: up and bitcoin ran up, But how did you feel 373 00:16:58,800 --> 00:16:59,560 Speaker 9: in twenty twenty two. 374 00:17:00,000 --> 00:17:02,360 Speaker 10: It's all everything you know taking a take time as well. 375 00:17:03,000 --> 00:17:05,600 Speaker 9: So there's still a lot of unknown surrounding what crypto 376 00:17:05,760 --> 00:17:09,199 Speaker 9: is going to become, where bitcoin really fits into our 377 00:17:09,280 --> 00:17:11,440 Speaker 9: economy and the financial marketplace. 378 00:17:11,480 --> 00:17:13,800 Speaker 10: So there's still going to be volatility. It's an asset class, 379 00:17:13,800 --> 00:17:14,240 Speaker 10: but you have to. 380 00:17:14,240 --> 00:17:15,840 Speaker 9: Be able to make sure that if you're going to 381 00:17:15,960 --> 00:17:18,040 Speaker 9: invest in bitcoin, you need to be able to look 382 00:17:18,040 --> 00:17:18,720 Speaker 9: at the volatility. 383 00:17:18,760 --> 00:17:22,120 Speaker 3: All right, Sarah, next time, next time, you'll do better, 384 00:17:22,160 --> 00:17:25,680 Speaker 3: all right, Sarah Ponzik, financial advisor at UBS Private Wealth Management. 385 00:17:26,080 --> 00:17:28,400 Speaker 3: Great stuff, joining us there on the idea you got 386 00:17:28,400 --> 00:17:30,159 Speaker 3: to be cautious when you're buying bitcoin. I love that. 387 00:17:30,320 --> 00:17:32,600 Speaker 3: Can you look at yourself in the mirror and feel 388 00:17:32,800 --> 00:17:33,920 Speaker 3: okay about it? 389 00:17:36,320 --> 00:17:40,200 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 390 00:17:40,280 --> 00:17:42,919 Speaker 2: weekdays at ten am Eastern on Apple card Play and 391 00:17:42,920 --> 00:17:45,560 Speaker 2: then Broid Auto with the Bloomberg Business App. Listen on 392 00:17:45,640 --> 00:17:48,920 Speaker 2: demand wherever you get your podcasts, or watch us live 393 00:17:49,000 --> 00:17:50,360 Speaker 2: on YouTube. 394 00:17:51,040 --> 00:17:52,960 Speaker 3: Let's go now to the news over the weekend, which 395 00:17:53,040 --> 00:17:55,920 Speaker 3: was Reddit finally getting it together to launch its long 396 00:17:55,960 --> 00:18:01,000 Speaker 3: awaited ipo Amy or Bloomberg Equity Capital Markets reporter joins us. Now, first, 397 00:18:01,000 --> 00:18:02,359 Speaker 3: did you watch the oscars? 398 00:18:03,640 --> 00:18:04,600 Speaker 10: I am a lot of journey. 399 00:18:04,720 --> 00:18:06,520 Speaker 3: I am alone people so far. 400 00:18:06,600 --> 00:18:09,000 Speaker 7: When the ratings come out, so we know how many 401 00:18:09,000 --> 00:18:09,800 Speaker 7: people didn't. 402 00:18:09,600 --> 00:18:12,320 Speaker 3: Want to My husband and my daughter didn't. 403 00:18:11,800 --> 00:18:15,520 Speaker 7: Like Arbitron or whatever, will we will watch that and 404 00:18:15,600 --> 00:18:16,879 Speaker 7: learn the Nielsen ratings. 405 00:18:16,880 --> 00:18:19,520 Speaker 3: Okay, now, John Tucker, your assignment right now, go watch 406 00:18:19,600 --> 00:18:22,360 Speaker 3: I'm just ken, I'm just watching, just watch him doing 407 00:18:22,359 --> 00:18:22,800 Speaker 3: the segment. 408 00:18:23,680 --> 00:18:25,120 Speaker 7: Fine, I want to listen to Amy though. 409 00:18:25,960 --> 00:18:27,720 Speaker 3: Reddit remind us what redd it is. 410 00:18:27,760 --> 00:18:30,840 Speaker 1: First of all, it's a social platform essentially for people 411 00:18:30,880 --> 00:18:33,760 Speaker 1: to to talk about anything, and then it's kind of 412 00:18:34,000 --> 00:18:36,399 Speaker 1: wolved into a place where you can find information about 413 00:18:36,400 --> 00:18:37,880 Speaker 1: really deep dive into things. 414 00:18:37,880 --> 00:18:39,600 Speaker 3: So a lot of like guys would be. 415 00:18:39,800 --> 00:18:42,800 Speaker 1: Like chatting about like running shoes and what model fits 416 00:18:42,840 --> 00:18:45,399 Speaker 1: and how it fits and then how to break shoes 417 00:18:45,440 --> 00:18:48,280 Speaker 1: in that kind of thing and many other more and 418 00:18:48,320 --> 00:18:52,679 Speaker 1: sometimes it's good, sometimes like questionable. So it's it's a 419 00:18:52,760 --> 00:18:56,800 Speaker 1: social platform for people to express their views and ideas. 420 00:18:57,000 --> 00:18:58,960 Speaker 6: I wonder if they must have and I'm just ken 421 00:18:59,000 --> 00:19:00,840 Speaker 6: thread there has to be have today. 422 00:19:01,320 --> 00:19:03,520 Speaker 3: Okay, you ask another question that's smart and I'm gonna 423 00:19:03,560 --> 00:19:03,959 Speaker 3: look that up. 424 00:19:04,000 --> 00:19:07,520 Speaker 6: Okay, So I guess can you give us some context 425 00:19:07,520 --> 00:19:10,359 Speaker 6: for the Reddit ipo what's the size that's being projected? 426 00:19:10,400 --> 00:19:12,199 Speaker 6: And then how does this fit in with how the 427 00:19:12,240 --> 00:19:14,760 Speaker 6: market is developing so far this year? Because last year 428 00:19:14,800 --> 00:19:16,600 Speaker 6: it was not such a good IPO market. 429 00:19:16,680 --> 00:19:16,880 Speaker 9: Wasn't. 430 00:19:17,080 --> 00:19:20,680 Speaker 1: Yeah, it wasn't, and it's still the IPO market is 431 00:19:20,720 --> 00:19:23,920 Speaker 1: still rawles subduced. So far this year there were only 432 00:19:23,960 --> 00:19:28,040 Speaker 1: about seven billion raised, but there were five IPOs more 433 00:19:28,080 --> 00:19:32,159 Speaker 1: than raising more than five hundred million dollars, which is yeah, decent, 434 00:19:32,760 --> 00:19:36,040 Speaker 1: but compared to twenty twenty one when redd it actually 435 00:19:36,040 --> 00:19:39,240 Speaker 1: filed confidentially for an IPO, that was an all time high, 436 00:19:39,280 --> 00:19:42,320 Speaker 1: that was more than three hundred and thirty billion dollars raised, 437 00:19:42,680 --> 00:19:44,800 Speaker 1: and then so like in the grand scheme of things, 438 00:19:44,920 --> 00:19:47,639 Speaker 1: we're definitely not there and might not even see that 439 00:19:47,720 --> 00:19:50,280 Speaker 1: ever again. And then at that time when Reddit actually 440 00:19:50,280 --> 00:19:53,000 Speaker 1: filed for an IPO, it was value at ten billion. 441 00:19:53,200 --> 00:19:56,440 Speaker 1: Right now, at thirty one to thirty four dollars price 442 00:19:56,560 --> 00:20:01,000 Speaker 1: range per share, it's like if it's price at the 443 00:20:01,359 --> 00:20:02,960 Speaker 1: upper end of the range is going to be six 444 00:20:03,000 --> 00:20:05,520 Speaker 1: point four billion in terms of valuation, So it's still 445 00:20:05,600 --> 00:20:08,560 Speaker 1: like a bit off from the ten billion that it 446 00:20:08,640 --> 00:20:10,920 Speaker 1: was projected to be back in a few years ago. 447 00:20:10,960 --> 00:20:13,520 Speaker 1: So it's kind of missed the boat in terms of 448 00:20:13,560 --> 00:20:16,560 Speaker 1: IPOs sentiment, and so we're going to see whether it's 449 00:20:16,600 --> 00:20:18,240 Speaker 1: going to be So there is still a tone that 450 00:20:18,280 --> 00:20:21,159 Speaker 1: they can price above the range, but we'll have a 451 00:20:21,200 --> 00:20:22,000 Speaker 1: look January. 452 00:20:22,119 --> 00:20:25,560 Speaker 3: Right there is a Reddit thread I'm just ken, so 453 00:20:25,880 --> 00:20:28,400 Speaker 3: I find at least somebody is with me on this one. 454 00:20:29,440 --> 00:20:31,960 Speaker 3: Talk to me about how reddit will also got into 455 00:20:31,960 --> 00:20:34,400 Speaker 3: the vernacular when it comes to the meme stock craze 456 00:20:34,880 --> 00:20:36,920 Speaker 3: that we saw, right. I mean, that's when Reddit became 457 00:20:37,000 --> 00:20:40,440 Speaker 3: super significant to Wall Street in a very particular way. 458 00:20:40,720 --> 00:20:43,680 Speaker 1: I think it was significant in a lot of people's hearts, 459 00:20:43,760 --> 00:20:46,600 Speaker 1: like for the geeks, but it's kind of like significant 460 00:20:46,640 --> 00:20:49,639 Speaker 1: when people actually went on the theme where they can 461 00:20:49,680 --> 00:20:53,119 Speaker 1: actually talk about stocks and then and to actually to 462 00:20:53,200 --> 00:20:56,879 Speaker 1: assemble the amount of buying interest in a particular stock 463 00:20:56,920 --> 00:20:59,720 Speaker 1: that actually drove the prices higher. And I think redd 464 00:20:59,720 --> 00:21:02,160 Speaker 1: It is trying to replicate that for his own IPO 465 00:21:02,240 --> 00:21:06,240 Speaker 1: as well. They're giving eight percent of the IPO to 466 00:21:06,560 --> 00:21:11,280 Speaker 1: people who are really heavy users moderators of Reddit threats. 467 00:21:11,760 --> 00:21:14,160 Speaker 1: But then the funny thing though, is for these eight 468 00:21:14,200 --> 00:21:17,199 Speaker 1: percent of the stocks, they do not have a lock up. 469 00:21:17,520 --> 00:21:19,920 Speaker 1: So it would be very interesting to actually see whether 470 00:21:19,960 --> 00:21:21,879 Speaker 1: they actually sell on the first day or during the 471 00:21:21,880 --> 00:21:24,400 Speaker 1: first week, because at the end of the day, these 472 00:21:24,440 --> 00:21:27,840 Speaker 1: are retail investors. Technically, a lot of the IPOs or 473 00:21:27,880 --> 00:21:31,400 Speaker 1: issuers do not like retail investors because they're very sentimental. 474 00:21:31,480 --> 00:21:34,720 Speaker 1: They're very emotional. If it rises a lot, and then 475 00:21:34,800 --> 00:21:37,159 Speaker 1: on the first day and then people will sell. If 476 00:21:37,800 --> 00:21:40,320 Speaker 1: it falls a lot, people will pan excel as well. 477 00:21:40,600 --> 00:21:43,000 Speaker 1: So that's why most of the time people will allocate 478 00:21:43,040 --> 00:21:45,920 Speaker 1: a lot more to institutions. The fact that they actually 479 00:21:46,160 --> 00:21:49,919 Speaker 1: allocate eight percent, I think they're trying to replicate that 480 00:21:50,119 --> 00:21:52,320 Speaker 1: meme kind of craze like for his own stock. But 481 00:21:52,400 --> 00:21:54,359 Speaker 1: whether it works or not is a different story. 482 00:21:54,960 --> 00:21:57,000 Speaker 6: One crazy question though, I would like to ask you. 483 00:21:57,000 --> 00:21:58,560 Speaker 6: You might have no view on this, but I want 484 00:21:58,560 --> 00:22:02,920 Speaker 6: to ask it. Anyway, We've got two very interesting internet 485 00:22:02,960 --> 00:22:05,480 Speaker 6: plays in the news today. We've got Reddit, but then 486 00:22:05,480 --> 00:22:08,680 Speaker 6: we also have TikTok. Do you see anyway the put 487 00:22:08,720 --> 00:22:11,080 Speaker 6: these two together in your head for an investor, for 488 00:22:11,160 --> 00:22:13,080 Speaker 6: a user, for a sentiment. 489 00:22:13,160 --> 00:22:15,680 Speaker 1: Well, it's really at the end of the day, it's 490 00:22:15,720 --> 00:22:18,320 Speaker 1: really about advertising and how much you can and also 491 00:22:18,359 --> 00:22:21,639 Speaker 1: how sticky in terms of the users. Right, Definitely, a 492 00:22:21,680 --> 00:22:24,879 Speaker 1: lot of the Reddit users are actually very sticky. But 493 00:22:24,920 --> 00:22:28,639 Speaker 1: then it's also most of the well not most, but 494 00:22:28,800 --> 00:22:30,919 Speaker 1: have of the users for Reddit do not actually have 495 00:22:30,920 --> 00:22:33,679 Speaker 1: a log in or do not actually seize most of 496 00:22:33,720 --> 00:22:36,440 Speaker 1: the ads. And then so whether it can actually turn 497 00:22:36,880 --> 00:22:40,320 Speaker 1: that into ad revenue, it's a different story. But then 498 00:22:40,800 --> 00:22:42,879 Speaker 1: read it now is trying to license some of the 499 00:22:43,240 --> 00:22:46,760 Speaker 1: geeky kind of links of threats in order to generate 500 00:22:47,280 --> 00:22:50,280 Speaker 1: revenue for itself. Because it's actually like it struck the 501 00:22:50,280 --> 00:22:54,720 Speaker 1: first deal with Google right now to read and ask 502 00:22:54,800 --> 00:22:59,000 Speaker 1: the AI to actually machine to learn it. So at 503 00:22:59,000 --> 00:23:01,600 Speaker 1: the end of the day AI, the more information, the 504 00:23:01,640 --> 00:23:05,080 Speaker 1: better information, the more deep dive into things that it gets, 505 00:23:05,320 --> 00:23:08,200 Speaker 1: the better result it will generate. So it's a good 506 00:23:08,240 --> 00:23:11,320 Speaker 1: thing that they have that vast eighteen nineteen years of 507 00:23:11,480 --> 00:23:14,240 Speaker 1: treasure tro that it can actually use. But at the 508 00:23:14,359 --> 00:23:17,040 Speaker 1: end of the day, it's kind of like Wikipedia. It's 509 00:23:17,600 --> 00:23:21,760 Speaker 1: sometimes you can't verify stuff, right So yeah, it's it's yeah, 510 00:23:22,040 --> 00:23:22,920 Speaker 1: up to but. 511 00:23:22,800 --> 00:23:24,800 Speaker 3: I would say also the big difference is that it's not, 512 00:23:25,440 --> 00:23:27,639 Speaker 3: in the end of the day a Chinese company right now, 513 00:23:27,760 --> 00:23:29,880 Speaker 3: this is true. I mean I appreciate TikTok is quote 514 00:23:29,960 --> 00:23:32,119 Speaker 3: unquote domiciled in the US, but like if you thread 515 00:23:32,119 --> 00:23:33,359 Speaker 3: the needle, it goes up to China. 516 00:23:33,480 --> 00:23:36,040 Speaker 6: Indeed, and this is the one issue that TikTok has 517 00:23:36,040 --> 00:23:39,480 Speaker 6: been trying to convince investors, have convince US politicians of 518 00:23:39,520 --> 00:23:40,919 Speaker 6: that no, no, no, we're based in the US, but 519 00:23:41,160 --> 00:23:43,320 Speaker 6: it looks like nobody's bought that story. And here we 520 00:23:43,359 --> 00:23:45,680 Speaker 6: are with this legislation going through Congress, and. 521 00:23:45,680 --> 00:23:48,440 Speaker 1: We've seen Sheen as well. Sheen was supposed to actually 522 00:23:48,480 --> 00:23:52,040 Speaker 1: come this year to the US, and it's exploring other 523 00:23:52,160 --> 00:23:55,040 Speaker 1: places for listing, like the UK just because of that 524 00:23:55,160 --> 00:23:58,239 Speaker 1: Chinese connection. So but then arm also has like kind 525 00:23:58,280 --> 00:24:01,800 Speaker 1: of a like a risk spector in China as well. 526 00:24:01,880 --> 00:24:03,680 Speaker 1: But then it went through as well. So at the 527 00:24:03,760 --> 00:24:06,920 Speaker 1: end of the day, like whether like yeah, TikTok bite 528 00:24:06,960 --> 00:24:08,800 Speaker 1: guns will come, like yeah. 529 00:24:08,760 --> 00:24:12,200 Speaker 3: We'll have to see. For Reddit, why do you think 530 00:24:12,240 --> 00:24:13,280 Speaker 3: it's it decided? 531 00:24:13,320 --> 00:24:13,520 Speaker 8: Now? 532 00:24:13,680 --> 00:24:14,200 Speaker 3: Is the time? 533 00:24:15,720 --> 00:24:18,959 Speaker 1: Actually a lot of the times where IPOs actually come 534 00:24:19,000 --> 00:24:21,679 Speaker 1: to the market at during this time when the market 535 00:24:21,760 --> 00:24:25,640 Speaker 1: is not fully opens. It's a certain kind of factors. 536 00:24:25,760 --> 00:24:29,000 Speaker 1: Is whether it needs money for growth or it wants 537 00:24:29,000 --> 00:24:32,240 Speaker 1: to actually give the venue for his employees to sell. 538 00:24:32,720 --> 00:24:37,040 Speaker 1: And obviously there are private share platforms that allow that 539 00:24:37,160 --> 00:24:40,000 Speaker 1: to do that, but then it's not as liquid and 540 00:24:40,119 --> 00:24:43,040 Speaker 1: so at the end of the day, for this particular 541 00:24:44,200 --> 00:24:47,320 Speaker 1: Reddit sale ipo, a third of it comes from its 542 00:24:47,400 --> 00:24:50,919 Speaker 1: employees wanting to sell. So that is part of the 543 00:24:51,000 --> 00:24:54,320 Speaker 1: driver for his IPO to come right now, you know. 544 00:24:54,320 --> 00:24:57,600 Speaker 6: What is investor appetite generally now for the risk of 545 00:24:57,640 --> 00:24:59,560 Speaker 6: an IPO, because you said the market has been like 546 00:24:59,600 --> 00:25:01,520 Speaker 6: sort of coming back, but this is in the midst 547 00:25:01,840 --> 00:25:03,240 Speaker 6: of a massive run up in the S and P 548 00:25:03,359 --> 00:25:04,760 Speaker 6: five hundred exactly. 549 00:25:04,840 --> 00:25:08,160 Speaker 1: So in terms of equity capital market, all the other 550 00:25:08,240 --> 00:25:11,120 Speaker 1: chunnels are really fired up, like all the other two 551 00:25:11,160 --> 00:25:15,440 Speaker 1: engines in terms of secondary share sales and also convertible bonds, 552 00:25:15,440 --> 00:25:17,800 Speaker 1: they are just going through the roof. Last two weeks, 553 00:25:17,800 --> 00:25:20,800 Speaker 1: it was like more than ten billion a week, which 554 00:25:20,880 --> 00:25:23,879 Speaker 1: was amazing, and then like in terms of convertible bonds, 555 00:25:23,960 --> 00:25:27,840 Speaker 1: like a week was yeah, a third of last year's 556 00:25:28,480 --> 00:25:31,200 Speaker 1: new issuance as well, so it was great. But then 557 00:25:31,280 --> 00:25:34,120 Speaker 1: that has not transferred into the IPO, which is an 558 00:25:34,280 --> 00:25:39,119 Speaker 1: risky asset. So we have seen that the discount that 559 00:25:39,160 --> 00:25:43,200 Speaker 1: people investors were asking for IPOs is still at twenty 560 00:25:43,280 --> 00:25:46,399 Speaker 1: twenty five percent discount to a ready list of peers 561 00:25:46,480 --> 00:25:49,240 Speaker 1: versus ten to fifteen percent in the past, so that 562 00:25:49,320 --> 00:25:51,679 Speaker 1: sentiment has not come back. People still want to have 563 00:25:51,880 --> 00:25:54,199 Speaker 1: a bit of a cushion. And the fact that like 564 00:25:54,280 --> 00:25:58,399 Speaker 1: the first two big IPOs, Aimer Sports and also bright Spring, 565 00:25:58,720 --> 00:26:02,080 Speaker 1: they weren't trading as well is still like a concern 566 00:26:02,320 --> 00:26:04,800 Speaker 1: lingering on a lot of investors' mind. 567 00:26:05,000 --> 00:26:08,159 Speaker 3: Amy, great stuff, a really great conversation. I learned so 568 00:26:08,240 --> 00:26:09,960 Speaker 3: much in that. Thank you so much, Amy, or Bloomberg 569 00:26:09,960 --> 00:26:11,840 Speaker 3: Equity Capital Markets Reporter. 570 00:26:13,480 --> 00:26:17,399 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 571 00:26:17,480 --> 00:26:21,000 Speaker 2: weekdays at ten am Eastern on applecar Play and Android 572 00:26:21,000 --> 00:26:23,800 Speaker 2: Auto with the Bloomberg Business app. You can also listen 573 00:26:23,920 --> 00:26:27,000 Speaker 2: live on Amazon Alexa from our flagship New York station, 574 00:26:27,359 --> 00:26:30,159 Speaker 2: Just say Alexa play Bloomberg eleven thirty. 575 00:26:31,400 --> 00:26:34,320 Speaker 3: Let's flex the muscles. I know one person who has 576 00:26:34,440 --> 00:26:37,640 Speaker 3: definitely seen the oscars, and that's keitha wronganath and Bloomberg 577 00:26:37,680 --> 00:26:42,600 Speaker 3: Intelligence analyst for US Media. Have you Youthael? Actually I 578 00:26:42,640 --> 00:26:45,600 Speaker 3: don't know for sure. I hope so getha. Have you 579 00:26:45,680 --> 00:26:46,880 Speaker 3: seen it? Did you see it? 580 00:26:47,640 --> 00:26:49,280 Speaker 8: I did it away. 581 00:26:50,359 --> 00:26:52,880 Speaker 3: For the record, I have been trying to find one 582 00:26:52,920 --> 00:26:55,520 Speaker 3: person on this radio show so far who has seen 583 00:26:55,560 --> 00:26:57,679 Speaker 3: it who can talk about I'm just ken with me 584 00:26:57,760 --> 00:27:00,720 Speaker 3: and I have struck out, which I feel like is 585 00:27:00,760 --> 00:27:03,199 Speaker 3: part of the point. No one watched it with me 586 00:27:03,280 --> 00:27:04,800 Speaker 3: except for my husband and my daughter. 587 00:27:06,920 --> 00:27:10,159 Speaker 11: Yeah, I mean this is this has been the perenial question, Alex. 588 00:27:10,200 --> 00:27:13,960 Speaker 11: I mean about ratings, right, is linear TV even relevant anymore? 589 00:27:14,160 --> 00:27:16,640 Speaker 11: But you'll be surprised to know the oscars actually are 590 00:27:16,720 --> 00:27:21,240 Speaker 11: one of the most watched non sports telecast on TV 591 00:27:21,440 --> 00:27:24,720 Speaker 11: every year. And yes, ratings are down. So back about 592 00:27:24,720 --> 00:27:27,280 Speaker 11: twenty years ago, it was about forty million people tuning 593 00:27:27,280 --> 00:27:31,000 Speaker 11: into you know, the Academy Academy Awards ceremony. Now it's 594 00:27:31,000 --> 00:27:34,639 Speaker 11: closer to about twenty million, but that's still a huge audience, 595 00:27:34,760 --> 00:27:37,600 Speaker 11: kind of considering that the PATV universe is also kind 596 00:27:37,640 --> 00:27:39,080 Speaker 11: of shrunk by about twenty five percent. 597 00:27:39,240 --> 00:27:41,240 Speaker 3: Okay, so, so what did you think about I'm just. 598 00:27:41,200 --> 00:27:45,239 Speaker 11: Can I thought it was brilliant. It might have been 599 00:27:45,280 --> 00:27:48,240 Speaker 11: the most Yeah, me too, me too. That was the 600 00:27:48,240 --> 00:27:50,359 Speaker 11: most exciting part of the whole ceremony. 601 00:27:50,440 --> 00:27:53,080 Speaker 3: It was awesome. And they did a whole like harken 602 00:27:53,200 --> 00:27:56,840 Speaker 3: back to Marilyn Monroe and then Madonna wearing pink and 603 00:27:56,880 --> 00:27:59,440 Speaker 3: wearing Gosling and pink and the and the guys in 604 00:27:59,480 --> 00:28:02,159 Speaker 3: the back in the same cost. You had to see it. 605 00:28:02,200 --> 00:28:05,280 Speaker 3: You just had to see it. It was really awesome. Okay. Anyway, sorry, Jen, 606 00:28:05,359 --> 00:28:06,399 Speaker 3: you can ask a real question. 607 00:28:06,359 --> 00:28:07,320 Speaker 6: Can I ask a real question? 608 00:28:07,560 --> 00:28:07,679 Speaker 9: So? 609 00:28:08,680 --> 00:28:10,760 Speaker 6: Who are the winners and losers here in terms of 610 00:28:10,960 --> 00:28:14,119 Speaker 6: old media versus upstart streamers, it looks like Dizzy did 611 00:28:14,240 --> 00:28:17,240 Speaker 6: very well. Comcasted, well, what's your take here? 612 00:28:18,040 --> 00:28:19,480 Speaker 8: Yeah, I'm really glad you asked that question. 613 00:28:19,520 --> 00:28:22,240 Speaker 11: I think the one big surprise, and this is really 614 00:28:22,280 --> 00:28:24,520 Speaker 11: good for old media, is that old media is back. 615 00:28:24,680 --> 00:28:29,080 Speaker 11: Theaters are back, the theatrical experiences back, and you know, 616 00:28:29,320 --> 00:28:31,960 Speaker 11: in a kind of this wild twist, streaming was kind 617 00:28:31,960 --> 00:28:35,600 Speaker 11: of almost completely shut out. So going into the Oscars, 618 00:28:35,640 --> 00:28:38,200 Speaker 11: we really had, you know, the two stream big streaming 619 00:28:38,840 --> 00:28:42,560 Speaker 11: you know, giants in a way, Netflix with nineteen nominations 620 00:28:42,720 --> 00:28:46,040 Speaker 11: they only got one. You had Apple with Killers of 621 00:28:46,080 --> 00:28:50,600 Speaker 11: the Flower Moon with thirteen nominations, they got completely shut out, 622 00:28:51,120 --> 00:28:52,800 Speaker 11: so you know, and then of course you had the 623 00:28:52,800 --> 00:28:56,640 Speaker 11: big suite with Comcast, Universal with with Oppenheimer's. So you know, 624 00:28:56,680 --> 00:28:59,680 Speaker 11: in many ways, this was really a resounding success for 625 00:29:00,080 --> 00:29:04,120 Speaker 11: the theatrical model and for the long established studios. 626 00:29:04,440 --> 00:29:07,880 Speaker 3: Also Disney, right, I mean Poor Things, Disney with Poor Things, Yeah, 627 00:29:08,160 --> 00:29:11,000 Speaker 3: where things came out of nowhere in my world. I mean, 628 00:29:11,080 --> 00:29:13,160 Speaker 3: I'm not the judge of everything or anything like that, 629 00:29:13,240 --> 00:29:15,840 Speaker 3: but it seems like Poor Things really came out and 630 00:29:15,880 --> 00:29:19,640 Speaker 3: stole a lot of awards that maybe we weren't necessarily expecting, 631 00:29:19,680 --> 00:29:21,200 Speaker 3: which which is a great win for Disney. 632 00:29:22,400 --> 00:29:25,920 Speaker 11: It absolutely was, and considering you know, the budget, you know, 633 00:29:25,960 --> 00:29:28,880 Speaker 11: and everything that kind of went with it. It's you know, 634 00:29:28,960 --> 00:29:32,120 Speaker 11: Searchlight and the Fox acquisition from from this, from this 635 00:29:32,200 --> 00:29:34,239 Speaker 11: studio point of view, from from the point of view 636 00:29:34,280 --> 00:29:37,080 Speaker 11: of critical acclaim, I mean, Disney has really really done 637 00:29:37,160 --> 00:29:40,280 Speaker 11: well with that acquisition because it's gotten them like a 638 00:29:40,280 --> 00:29:44,120 Speaker 11: lot of critical accolades and some commercial successes as well. 639 00:29:44,400 --> 00:29:46,080 Speaker 6: So I want to go back to your point that 640 00:29:46,520 --> 00:29:50,800 Speaker 6: theatrical releases are back, old media is back. What kind 641 00:29:50,800 --> 00:29:52,360 Speaker 6: of legs do you see on this trend? And I 642 00:29:52,400 --> 00:29:55,440 Speaker 6: say this as a massive movie buff, but I have 643 00:29:55,640 --> 00:29:58,320 Speaker 6: yet to really fully return to the cinema. I think 644 00:29:58,320 --> 00:30:01,680 Speaker 6: the last one I saw was Mission impossib because it's. 645 00:30:01,560 --> 00:30:03,120 Speaker 8: Just, you know, there's a lot of hassle. 646 00:30:03,360 --> 00:30:05,600 Speaker 3: Yeah, I mean it's a fair point. I mean I'm 647 00:30:05,640 --> 00:30:06,720 Speaker 3: not that far from you either. 648 00:30:07,840 --> 00:30:08,880 Speaker 8: So what absolutely is? 649 00:30:09,040 --> 00:30:10,800 Speaker 6: Oh yeah, so sorry, yeah, So what's your take are 650 00:30:10,960 --> 00:30:11,920 Speaker 6: is the pandemic over? 651 00:30:12,160 --> 00:30:14,080 Speaker 8: Is it all back? What's the story here? 652 00:30:15,240 --> 00:30:17,080 Speaker 11: It's been a bit of a both a demand and 653 00:30:17,080 --> 00:30:21,120 Speaker 11: the supply problem. So you know what has happened. Now, 654 00:30:21,240 --> 00:30:24,120 Speaker 11: we did see somewhat of a decent recovery. I would 655 00:30:24,160 --> 00:30:27,760 Speaker 11: say in twenty twenty three, we saw box office getting 656 00:30:27,800 --> 00:30:31,920 Speaker 11: back to nine billion dollars, which is still not equal 657 00:30:31,960 --> 00:30:35,040 Speaker 11: to pre pandemic levels. We're still about twenty percent short. 658 00:30:35,880 --> 00:30:38,200 Speaker 11: There's good news and bad news. The bad news is 659 00:30:38,240 --> 00:30:40,400 Speaker 11: twenty twenty four is not going to be better than 660 00:30:40,400 --> 00:30:44,960 Speaker 11: twenty twenty three. And the reason is the Hollywood strikes, 661 00:30:45,040 --> 00:30:47,440 Speaker 11: you know, those the actors strike as well as the 662 00:30:47,440 --> 00:30:50,960 Speaker 11: writer's strike, kind of created a lot of holes now 663 00:30:51,080 --> 00:30:53,560 Speaker 11: in the in the calendar. They pushed out a lot 664 00:30:53,600 --> 00:30:56,520 Speaker 11: of the big releases that were originally slated for twenty 665 00:30:56,520 --> 00:30:58,440 Speaker 11: twenty four to twenty twenty five. That's going to shave 666 00:30:58,480 --> 00:31:02,200 Speaker 11: off roughly two billion dollars from the box office. So 667 00:31:02,200 --> 00:31:04,120 Speaker 11: we're actually going to see twenty twenty four come in 668 00:31:04,360 --> 00:31:07,800 Speaker 11: much lighter than twenty twenty three. But the good news 669 00:31:07,880 --> 00:31:10,560 Speaker 11: is that twenty twenty five is everybody's expecting it to 670 00:31:10,640 --> 00:31:13,360 Speaker 11: kind of be this blockbuster or where we will see, 671 00:31:13,560 --> 00:31:16,280 Speaker 11: you know, box office kind of really get back hopefully 672 00:31:16,760 --> 00:31:19,680 Speaker 11: to those pre pandemic levels at about ten billion or so. 673 00:31:20,000 --> 00:31:23,120 Speaker 11: But I think generally the takeaway agen was that, you know, 674 00:31:23,600 --> 00:31:27,000 Speaker 11: studios definitely want to make that commitment to theatrical because 675 00:31:27,000 --> 00:31:30,200 Speaker 11: back in the day, especially when COVID was rampant, I mean, 676 00:31:30,200 --> 00:31:32,360 Speaker 11: there was this big question about whether we would, you know, 677 00:31:32,440 --> 00:31:34,120 Speaker 11: with everybody kind of doing the day and date at 678 00:31:34,120 --> 00:31:36,160 Speaker 11: that point of time, there was this big question about 679 00:31:36,200 --> 00:31:37,760 Speaker 11: whether everything was going to move to streaming. 680 00:31:37,760 --> 00:31:39,360 Speaker 8: And I think that's definitely not the case. 681 00:31:40,000 --> 00:31:42,240 Speaker 3: If you didn't have a job as senior US media 682 00:31:42,240 --> 00:31:45,800 Speaker 3: analysts for Bloomberg Intelligence, would you have watched the askers, 683 00:31:46,200 --> 00:31:46,680 Speaker 3: I would have. 684 00:31:46,880 --> 00:31:48,400 Speaker 8: I definitely would have always watched it. 685 00:31:48,440 --> 00:31:49,800 Speaker 3: Yeah, Okay, good, all right, And I just want to 686 00:31:49,840 --> 00:31:52,960 Speaker 3: get that clear. It's not just because it's your job. Okay, 687 00:31:53,000 --> 00:31:54,640 Speaker 3: let's talk about the elephant in the room, and that 688 00:31:54,680 --> 00:31:57,200 Speaker 3: elephant is very large in the form of Paramount Plus. 689 00:31:57,680 --> 00:32:00,480 Speaker 3: Any updates on this, any sort of insight, any sort 690 00:32:00,520 --> 00:32:02,320 Speaker 3: of what's next now that has mightbe. 691 00:32:02,200 --> 00:32:07,520 Speaker 11: Changed, Nothing really has changed. So you know, we've had 692 00:32:07,560 --> 00:32:10,600 Speaker 11: management kind of speak on multiple occasions. All that they've 693 00:32:10,600 --> 00:32:15,280 Speaker 11: said is they're kind of evaluating all possible offers, which 694 00:32:15,320 --> 00:32:18,520 Speaker 11: seem to be kind of dwindling. Actually, we had, you know, 695 00:32:18,800 --> 00:32:23,000 Speaker 11: multiple rumors, I would say swirling about a few weeks ago, 696 00:32:23,080 --> 00:32:26,000 Speaker 11: but really nothing Alex at this point of time. The studio, 697 00:32:26,040 --> 00:32:27,800 Speaker 11: of course, is still very much in play. We had 698 00:32:27,800 --> 00:32:30,240 Speaker 11: some news about Paramount kind of disposing off some of 699 00:32:30,280 --> 00:32:32,520 Speaker 11: their or wanting to dispose off some of their non 700 00:32:32,560 --> 00:32:36,240 Speaker 11: core assets, their Indian operations, if you will. So they're 701 00:32:36,280 --> 00:32:39,680 Speaker 11: definitely looking ready or getting ready for a sale. I 702 00:32:39,720 --> 00:32:41,560 Speaker 11: just don't know when or how it's going to happen. 703 00:32:42,400 --> 00:32:42,560 Speaker 10: Now. 704 00:32:42,600 --> 00:32:44,440 Speaker 6: Can we go back to the streamers a little bit 705 00:32:44,440 --> 00:32:46,240 Speaker 6: because there is a question that I wanted to ask you. 706 00:32:46,280 --> 00:32:49,400 Speaker 6: I mean, we had Netflix upgraded by Oppenheimer today or 707 00:32:49,440 --> 00:32:52,920 Speaker 6: their target the price target was raised at Oppenheimer today, 708 00:32:53,120 --> 00:32:55,719 Speaker 6: And this is taking a look at trends and user growth. 709 00:32:56,160 --> 00:33:01,480 Speaker 6: But you know, Netflix really raised their their costs recently 710 00:33:01,640 --> 00:33:03,960 Speaker 6: and then that you know, they managed to survive that 711 00:33:04,120 --> 00:33:08,000 Speaker 6: and subscriptions held up. How do you see that progressing 712 00:33:08,200 --> 00:33:10,400 Speaker 6: over the course of the year, especially if we have 713 00:33:11,040 --> 00:33:12,760 Speaker 6: a slower economy. 714 00:33:13,800 --> 00:33:16,360 Speaker 11: So I think at this point, jen Netflix has kind 715 00:33:16,360 --> 00:33:19,560 Speaker 11: of really established itself as the dominant streaming platform. And 716 00:33:19,600 --> 00:33:21,280 Speaker 11: I just say that because you know, kind of when 717 00:33:21,280 --> 00:33:23,120 Speaker 11: you think about you just go home every night and 718 00:33:23,160 --> 00:33:25,680 Speaker 11: you think about what do I want to watch. I mean, 719 00:33:25,720 --> 00:33:28,600 Speaker 11: Netflix has kind of almost become this habit right now, 720 00:33:29,080 --> 00:33:31,880 Speaker 11: and so people naturally kind of gravitate towards it, and 721 00:33:31,960 --> 00:33:34,960 Speaker 11: so I think that gives them immense pricing power. So 722 00:33:35,000 --> 00:33:37,880 Speaker 11: will they be able to raise prices in the future. Absolutely, 723 00:33:37,960 --> 00:33:40,880 Speaker 11: Do they have more growth levers to pull? Absolutely? They 724 00:33:40,960 --> 00:33:43,840 Speaker 11: you know, advertising is still a very very small business 725 00:33:43,840 --> 00:33:46,160 Speaker 11: for them, but they're looking to make it bigger and bigger. 726 00:33:46,680 --> 00:33:48,280 Speaker 11: You know, we just I don't know if you can 727 00:33:48,360 --> 00:33:51,360 Speaker 11: if you guys watched there was this exhibition tennis match 728 00:33:51,400 --> 00:33:54,960 Speaker 11: between Nadal and Alcaraz just a few days ago, and 729 00:33:55,000 --> 00:33:57,120 Speaker 11: now they have this big fight that's coming up between 730 00:33:57,120 --> 00:34:00,000 Speaker 11: Mike Tyson and Jake Paul. So they are doing more, 731 00:34:00,040 --> 00:34:02,080 Speaker 11: more and more to get into kind of you know, 732 00:34:02,240 --> 00:34:06,239 Speaker 11: live events. You know, obviously we know all of the 733 00:34:06,320 --> 00:34:10,080 Speaker 11: WWE content, the raw content is coming starting January twenty 734 00:34:10,120 --> 00:34:12,840 Speaker 11: twenty five, so they're branching out into different things and 735 00:34:12,880 --> 00:34:15,480 Speaker 11: the whole idea there is to kind of add more content, 736 00:34:15,600 --> 00:34:19,080 Speaker 11: more breadth, more depth, to give them more pricing powers. 737 00:34:19,120 --> 00:34:21,680 Speaker 11: So yes, I absolutely think that you know, they can 738 00:34:21,680 --> 00:34:23,680 Speaker 11: grow both subscriptions those worse revenue. 739 00:34:24,360 --> 00:34:26,919 Speaker 3: Really yeah, I forgot about that that Tyson fight. Also, 740 00:34:26,960 --> 00:34:29,040 Speaker 3: are those things less expensive to make? I man, you 741 00:34:29,040 --> 00:34:30,839 Speaker 3: have probably to pay them a lot, but versus like 742 00:34:30,960 --> 00:34:31,920 Speaker 3: a series. 743 00:34:33,000 --> 00:34:34,600 Speaker 8: But almost equal. 744 00:34:34,760 --> 00:34:37,120 Speaker 11: It would be like one of your big budgets series 745 00:34:37,120 --> 00:34:39,040 Speaker 11: because I think they're paying about three hundred million for 746 00:34:39,160 --> 00:34:43,000 Speaker 11: for the fight, so roughly equal to maybe like a 747 00:34:43,000 --> 00:34:44,040 Speaker 11: big stranger things. 748 00:34:44,320 --> 00:34:45,839 Speaker 3: Okay, all right, fair enough. I was gonna say, oh, 749 00:34:45,840 --> 00:34:47,759 Speaker 3: maybe the ROI on that is a little better, but 750 00:34:47,800 --> 00:34:51,640 Speaker 3: maybe that's not true. What's your go to jen streamer? 751 00:34:52,360 --> 00:34:52,520 Speaker 10: Well? 752 00:34:52,520 --> 00:34:54,120 Speaker 6: Actually, now, weirdly enough, it's Hulu. 753 00:34:54,719 --> 00:34:55,399 Speaker 8: Huh. Yeah. 754 00:34:55,440 --> 00:34:57,960 Speaker 6: We were obsessed with the Rookie and so I binge 755 00:34:57,960 --> 00:35:00,920 Speaker 6: watched that whole thing, which is strange. But now we're 756 00:35:00,960 --> 00:35:04,279 Speaker 6: watching Showgun and we're really just taken to that. 757 00:35:04,840 --> 00:35:08,400 Speaker 8: It's what we're gon is Showgun, the James Leavell novel. 758 00:35:08,520 --> 00:35:12,359 Speaker 6: They've redone it. We just watched the first episode lesson 759 00:35:12,440 --> 00:35:12,960 Speaker 6: it's very good. 760 00:35:13,400 --> 00:35:16,120 Speaker 3: Okay, But but you're not doing that, Tucker. You're you're 761 00:35:16,160 --> 00:35:17,960 Speaker 3: reading some kind of serie books on. 762 00:35:18,239 --> 00:35:21,320 Speaker 7: Yeah, it's a thing about some you can't judge. 763 00:35:21,080 --> 00:35:24,040 Speaker 3: Anything for I'm just like, what are you watching? 764 00:35:24,280 --> 00:35:28,120 Speaker 7: No, I'm not watching anything. I'm trying to finish a 765 00:35:28,560 --> 00:35:31,600 Speaker 7: twelve hundred page book with type about that big? 766 00:35:31,760 --> 00:35:32,879 Speaker 8: So what book? 767 00:35:32,920 --> 00:35:33,480 Speaker 6: Tell us? 768 00:35:33,640 --> 00:35:36,799 Speaker 7: It's been on my shelf for thirty years, literally, I 769 00:35:36,880 --> 00:35:39,759 Speaker 7: kid you not. And I finally like, I never read this. 770 00:35:39,840 --> 00:35:43,000 Speaker 7: I got to pick it up the Power Broker, Oh, 771 00:35:43,160 --> 00:35:46,040 Speaker 7: Robert Carroll, and it's just like one's a Pulitzer prize 772 00:35:46,080 --> 00:35:48,560 Speaker 7: back in the seventies, and it's just what a tour 773 00:35:48,640 --> 00:35:51,800 Speaker 7: to force. It's just like and if you're a New Yorker, 774 00:35:52,040 --> 00:35:55,000 Speaker 7: it is your duty to read this book. Okay, I 775 00:35:55,000 --> 00:35:57,279 Speaker 7: don't care if it's twelve hundred pages. You have to 776 00:35:57,320 --> 00:35:57,560 Speaker 7: do it. 777 00:35:58,080 --> 00:35:59,719 Speaker 6: You know, we saw the play that Ray Fine was 778 00:35:59,760 --> 00:36:00,799 Speaker 6: in it. It was fantastic. 779 00:36:00,880 --> 00:36:02,560 Speaker 7: Oh really yeah no, I mean it's right. 780 00:36:02,440 --> 00:36:04,960 Speaker 3: Fine, so that makes sense. No, I'm reading all the 781 00:36:04,960 --> 00:36:07,759 Speaker 3: reach your books. It's like Candy, I can just read 782 00:36:07,840 --> 00:36:09,160 Speaker 3: like one an hour on the train. 783 00:36:09,200 --> 00:36:10,520 Speaker 7: Well, what's speech perfect? 784 00:36:10,640 --> 00:36:13,040 Speaker 3: It's perfect. It's it's Alex every day reading, all right. 785 00:36:13,040 --> 00:36:16,520 Speaker 3: Get the thanks a lot, Eitha Manganathan no Bloomberg Intelligence, 786 00:36:16,520 --> 00:36:18,720 Speaker 3: a senior US media analyst, and thank you for watching 787 00:36:18,760 --> 00:36:20,840 Speaker 3: the Oscars, and thank you for saying I am just 788 00:36:20,920 --> 00:36:23,920 Speaker 3: Ken is brilliant, because it was and everyone should go 789 00:36:24,000 --> 00:36:26,200 Speaker 3: and watch it. Particularly John Tucker wants to. 790 00:36:26,280 --> 00:36:28,040 Speaker 7: Be well, it's over. I am not going to watch it. 791 00:36:28,800 --> 00:36:29,800 Speaker 3: It's called internet. 792 00:36:29,880 --> 00:36:31,240 Speaker 7: All right, this is Berg. 793 00:36:34,520 --> 00:36:38,400 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 794 00:36:38,480 --> 00:36:42,000 Speaker 2: weekdays at ten am Eastern on applecar Play and Android 795 00:36:42,040 --> 00:36:45,200 Speaker 2: Auto with a Bloomberg business. You can also listen live 796 00:36:45,280 --> 00:36:48,480 Speaker 2: on Amazon Alexa from our flagship New York station. Just 797 00:36:48,520 --> 00:36:51,880 Speaker 2: say Alexa play Bloomberg eleven thirty. 798 00:36:52,520 --> 00:36:54,839 Speaker 3: All right, talking about CPI for tomorrow, we got the 799 00:36:55,040 --> 00:36:57,799 Speaker 3: New York Fed inflation expectations coming in for one year 800 00:36:57,880 --> 00:37:00,279 Speaker 3: unchanged right up. For the three year they rose to 801 00:37:00,320 --> 00:37:02,360 Speaker 3: two point seven percent. For the five year rose to 802 00:37:02,400 --> 00:37:05,040 Speaker 3: two point nine percent. So let's get the set up 803 00:37:05,080 --> 00:37:08,520 Speaker 3: then for tomorrow. Adam Kon's is chief portfolio manager Winthrope 804 00:37:08,560 --> 00:37:12,360 Speaker 3: Capital Management. He joins us from Innneapolis, Indiana. Were you 805 00:37:12,440 --> 00:37:14,160 Speaker 3: up late watching the oscars. 806 00:37:15,239 --> 00:37:15,799 Speaker 10: As I play? 807 00:37:15,880 --> 00:37:18,799 Speaker 12: But not because of that? Got two kids they didn't 808 00:37:18,840 --> 00:37:19,560 Speaker 12: want to fall asleep. 809 00:37:19,920 --> 00:37:21,920 Speaker 3: Oh okay, fair enough, so no oscars for you. Just 810 00:37:21,960 --> 00:37:24,799 Speaker 3: to be clear, Yeah, I'm really bad. 811 00:37:25,000 --> 00:37:26,440 Speaker 6: Really, you're striking out today. 812 00:37:26,480 --> 00:37:28,160 Speaker 3: This is toughly. We should do the whole theme for 813 00:37:28,200 --> 00:37:30,080 Speaker 3: the whole week this way and just like, really get 814 00:37:30,080 --> 00:37:32,440 Speaker 3: a good read on who watches what all right, Adam? 815 00:37:33,040 --> 00:37:36,400 Speaker 3: In the market CPI tomorrow? Are we are we selling 816 00:37:36,400 --> 00:37:37,799 Speaker 3: a little bit in the front end because of that? 817 00:37:37,920 --> 00:37:40,399 Speaker 3: Is that what we're seeing a little bit? Yeah? 818 00:37:40,680 --> 00:37:44,000 Speaker 12: I think, you know, Unfortunately, we've gotten to this place 819 00:37:44,040 --> 00:37:48,440 Speaker 12: where the inflation prints and anything that's going to affect 820 00:37:48,480 --> 00:37:51,759 Speaker 12: the FED is the primary driver of market. So I 821 00:37:51,760 --> 00:37:53,200 Speaker 12: think we're going to continue to see that through the 822 00:37:53,239 --> 00:37:57,480 Speaker 12: rest of twenty twenty four. Expectations here really, you know, 823 00:37:57,600 --> 00:38:00,840 Speaker 12: right at three point eight, I think we're going to 824 00:38:00,920 --> 00:38:03,080 Speaker 12: actually see this come in a little bit below that. 825 00:38:03,560 --> 00:38:06,400 Speaker 12: I think there's gonna be a surprise out of the 826 00:38:05,719 --> 00:38:10,279 Speaker 12: service sector. We have already seen used car prices start 827 00:38:10,320 --> 00:38:12,759 Speaker 12: to fall off as well, so that we'll play a role. 828 00:38:13,440 --> 00:38:18,480 Speaker 12: So we're actually thinking we'll see a slight undertick from 829 00:38:18,560 --> 00:38:23,440 Speaker 12: the expectations right now on both core and non core CPI. 830 00:38:24,360 --> 00:38:27,560 Speaker 6: If the print comes in as you expect a little 831 00:38:27,560 --> 00:38:30,840 Speaker 6: bit of an undertick, how our markets position relative to that, 832 00:38:30,960 --> 00:38:33,839 Speaker 6: Is there going to be a setup for some serious damage? 833 00:38:35,239 --> 00:38:38,440 Speaker 12: Well, you know, I think it depends on how you're 834 00:38:38,440 --> 00:38:41,920 Speaker 12: playing it. I do think you'll start to see interest 835 00:38:42,000 --> 00:38:45,040 Speaker 12: rates on the short end come down significantly. But yeah, 836 00:38:45,040 --> 00:38:47,239 Speaker 12: I think when we're talking about equity markets, that would 837 00:38:47,239 --> 00:38:49,719 Speaker 12: be a sign that things are slowing down. I think 838 00:38:50,120 --> 00:38:52,240 Speaker 12: a lot of people are kind of overlooking the impact 839 00:38:52,280 --> 00:38:54,520 Speaker 12: that the slowdown in China is going to have on 840 00:38:54,920 --> 00:38:58,880 Speaker 12: not just inflation, but just overall kind of consumption demand globally. 841 00:38:59,000 --> 00:39:01,840 Speaker 12: So that's really what we're thinking is going to drive 842 00:39:03,280 --> 00:39:06,520 Speaker 12: this downtick, because this is just going to start the snowball. 843 00:39:07,080 --> 00:39:09,640 Speaker 12: Like I said, as you see these big economies, demand 844 00:39:09,800 --> 00:39:14,120 Speaker 12: is notably slowing down. US has been resilient, but you 845 00:39:14,120 --> 00:39:16,600 Speaker 12: know it can't outlive this forever. 846 00:39:17,040 --> 00:39:20,680 Speaker 3: So you think then that we won't get a rotation, 847 00:39:21,239 --> 00:39:23,640 Speaker 3: a solid rotation to other assets that will help prop 848 00:39:23,719 --> 00:39:27,759 Speaker 3: up the market. That doesn't seem to be where you're at, No, 849 00:39:28,040 --> 00:39:28,440 Speaker 3: I don't. 850 00:39:28,480 --> 00:39:30,719 Speaker 12: I think what you'll start to see is as this 851 00:39:31,000 --> 00:39:33,759 Speaker 12: kind of fear starts to pick up. Obviously, there was 852 00:39:33,760 --> 00:39:36,920 Speaker 12: a lot of fear last year that just didn't materialize, 853 00:39:37,200 --> 00:39:39,920 Speaker 12: and so some complacency move back into the market. But 854 00:39:39,960 --> 00:39:42,640 Speaker 12: if we start to see that shift in any direction 855 00:39:42,719 --> 00:39:45,560 Speaker 12: towards back towards the fear, I think what you'll see 856 00:39:45,640 --> 00:39:48,120 Speaker 12: is just more of a risk off and you'll just 857 00:39:48,200 --> 00:39:50,040 Speaker 12: kind of start to see, you know, the treasury market 858 00:39:50,400 --> 00:39:53,480 Speaker 12: will rally, but everything else, I think we'll have a tough, 859 00:39:53,960 --> 00:39:54,879 Speaker 12: tough road ahead of it. 860 00:39:55,120 --> 00:39:58,319 Speaker 6: So what do you think then about overall corporate valuations. 861 00:39:58,400 --> 00:40:00,919 Speaker 6: Are we in bubble territory? Then, if you know there's 862 00:40:00,960 --> 00:40:05,000 Speaker 6: this expectation for a little bit of a softness, No. 863 00:40:05,120 --> 00:40:05,600 Speaker 4: I don't. 864 00:40:05,719 --> 00:40:09,319 Speaker 12: I mean, I think our valuation's high, yes, but I 865 00:40:09,360 --> 00:40:13,279 Speaker 12: think largely that can be offset by margin expansion. I 866 00:40:13,320 --> 00:40:16,279 Speaker 12: think that's going to push us through this cycle, make 867 00:40:16,360 --> 00:40:19,240 Speaker 12: it this cycle, at least the business cycle i'm referring 868 00:40:19,239 --> 00:40:23,279 Speaker 12: to slightly more extended than what we've been used to. 869 00:40:23,360 --> 00:40:24,800 Speaker 12: And that's why we don't think there's really going to 870 00:40:24,880 --> 00:40:29,879 Speaker 12: be any significant softening or a recession in twenty twenty four. 871 00:40:30,160 --> 00:40:32,440 Speaker 12: It might see something in twenty twenty five. I think 872 00:40:32,480 --> 00:40:34,839 Speaker 12: it really just depends on FED policy and how tight 873 00:40:34,880 --> 00:40:38,480 Speaker 12: they keep things and how long they do that. But no, 874 00:40:38,760 --> 00:40:42,359 Speaker 12: I think right now valuations are for the most part 875 00:40:42,440 --> 00:40:45,160 Speaker 12: fairly valued. There are absolutely stocks that are you could 876 00:40:45,160 --> 00:40:47,799 Speaker 12: consider bubble territory, but markets as a whole, no, not 877 00:40:47,880 --> 00:40:48,200 Speaker 12: at all. 878 00:40:48,560 --> 00:40:50,840 Speaker 3: Okay, So in the scenario that you're laying out what 879 00:40:50,920 --> 00:40:53,560 Speaker 3: happens with the dollar, Like you might have Treasury's rally, 880 00:40:53,600 --> 00:40:55,440 Speaker 3: But what does the dollar do in that scenario. 881 00:40:57,600 --> 00:40:59,880 Speaker 12: Honestly, that's a tough one because you know, it's a 882 00:41:00,000 --> 00:41:03,719 Speaker 12: relative game. And at the same time, as maybe the 883 00:41:03,800 --> 00:41:07,560 Speaker 12: FED is forced to start to loosen their policy, everywhere 884 00:41:07,600 --> 00:41:09,680 Speaker 12: else in the world is going to be way looser 885 00:41:09,719 --> 00:41:12,239 Speaker 12: and have a head start on us. You're already you know, 886 00:41:12,480 --> 00:41:14,719 Speaker 12: starting to see where China is going to have to 887 00:41:15,360 --> 00:41:18,640 Speaker 12: produce some significant stimulus measures in order to prop up 888 00:41:18,680 --> 00:41:21,800 Speaker 12: that economy. Europe is really no different at this point. 889 00:41:21,880 --> 00:41:24,560 Speaker 12: So I think on a relative basis, I think the 890 00:41:24,640 --> 00:41:28,120 Speaker 12: US dollar remains fairly strong, which I think will make 891 00:41:28,200 --> 00:41:30,600 Speaker 12: it difficult to invest in emergency markets as a whole 892 00:41:31,400 --> 00:41:35,279 Speaker 12: and could weigh down other countries. So I do think 893 00:41:35,640 --> 00:41:40,080 Speaker 12: the US dollars maintains its strength. It might weaken slightly, 894 00:41:40,160 --> 00:41:42,440 Speaker 12: but by no means do I see it falling off 895 00:41:42,440 --> 00:41:45,400 Speaker 12: a cliff like we've seen in past recessions. 896 00:41:46,040 --> 00:41:48,880 Speaker 6: So where does this leave the progress for FED raitcuts. 897 00:41:51,080 --> 00:41:56,320 Speaker 12: Well, you know, obviously the market's expectation has changed significantly 898 00:41:56,360 --> 00:41:59,120 Speaker 12: as this year, just in three months has come along, 899 00:41:59,360 --> 00:42:02,840 Speaker 12: you know, pricing in six cuts to begin with and 900 00:42:03,239 --> 00:42:06,919 Speaker 12: now we're well below that, you approaching three to two. 901 00:42:07,800 --> 00:42:09,920 Speaker 12: From our standpoint, we do think the Fed's going to 902 00:42:09,960 --> 00:42:14,640 Speaker 12: be a lot slower to react through this, through this 903 00:42:15,200 --> 00:42:18,759 Speaker 12: monetary cycle when you look at you know how they 904 00:42:18,880 --> 00:42:23,799 Speaker 12: enter this with very slow changes into increasing interest rates 905 00:42:23,920 --> 00:42:27,359 Speaker 12: using the transitory narrative for far too long. I think 906 00:42:27,400 --> 00:42:29,120 Speaker 12: they're going to do the same thing on the back end, 907 00:42:29,480 --> 00:42:31,600 Speaker 12: is that they're going to hold tight here and it 908 00:42:31,760 --> 00:42:35,640 Speaker 12: really weight to decrease interest rates until there are some 909 00:42:35,800 --> 00:42:38,560 Speaker 12: serious cracks in the economy that they can point to 910 00:42:38,960 --> 00:42:42,160 Speaker 12: and all their data set both hard and soft right now, 911 00:42:42,200 --> 00:42:47,080 Speaker 12: I think that what they're the rhetoric is that there's 912 00:42:47,080 --> 00:42:49,400 Speaker 12: this idea that the economy is softening, but there's just 913 00:42:49,400 --> 00:42:52,200 Speaker 12: not enough data to get the Fed to actually act. 914 00:42:52,239 --> 00:42:55,360 Speaker 12: And so until you see those data points really screaming 915 00:42:55,360 --> 00:42:57,080 Speaker 12: that the economy is slowing down, I just don't think 916 00:42:57,120 --> 00:42:58,719 Speaker 12: the Fed's going to cut and I don't know if 917 00:42:58,760 --> 00:43:00,000 Speaker 12: they cut it all in twenty twenty four. 918 00:43:00,440 --> 00:43:03,160 Speaker 3: Oh okay, So joining the Torus and slag Apollo camp 919 00:43:03,200 --> 00:43:07,560 Speaker 3: that maybe no cuts, which the facto that would kind 920 00:43:07,560 --> 00:43:10,480 Speaker 3: of be a hike in essence, what would that do 921 00:43:10,520 --> 00:43:11,560 Speaker 3: you think to the economy. 922 00:43:13,120 --> 00:43:15,719 Speaker 12: Well, I think honestly, you know, if they don't cut 923 00:43:15,719 --> 00:43:19,400 Speaker 12: it all this year and they keep things tight for longer, 924 00:43:19,440 --> 00:43:22,200 Speaker 12: I think that that is gonna that could lead us 925 00:43:22,200 --> 00:43:26,640 Speaker 12: into a harsh disinflationary period where you know, they overshoot 926 00:43:26,640 --> 00:43:30,240 Speaker 12: the two percent inflation target and suddenly we we're wondering 927 00:43:30,280 --> 00:43:33,719 Speaker 12: what happens if we're seeing you know, Japanese style deflation. 928 00:43:33,760 --> 00:43:35,120 Speaker 7: I think that's a low probability. 929 00:43:35,160 --> 00:43:38,000 Speaker 12: But if they stay too tight for too long, that 930 00:43:38,200 --> 00:43:43,360 Speaker 12: is the increasing probability of events that it's a harsher 931 00:43:43,400 --> 00:43:46,680 Speaker 12: thing for the economy to deal with deflation than some 932 00:43:46,800 --> 00:43:47,640 Speaker 12: slight inflation. 933 00:43:48,280 --> 00:43:50,759 Speaker 3: All Right, thanks a lot, really appreciate Adam Kuon's chief 934 00:43:50,800 --> 00:43:54,960 Speaker 3: portfolio manager at Winthrop Capital Management. That's super interesting. If 935 00:43:54,960 --> 00:43:56,680 Speaker 3: they have to wait, and the idea is the longer 936 00:43:56,719 --> 00:44:00,319 Speaker 3: you wait to cut than the worse the circumstance will 937 00:44:00,360 --> 00:44:01,120 Speaker 3: wind up being. 938 00:44:01,760 --> 00:44:06,239 Speaker 2: This is the Bloomberg Intelligence Podcast, available on Apples, Spotify, 939 00:44:06,480 --> 00:44:09,680 Speaker 2: and anywhere else you get your podcasts. Listen live each 940 00:44:09,680 --> 00:44:13,239 Speaker 2: weekday ten am tonoon Eastern on Bloomberg dot com, the 941 00:44:13,360 --> 00:44:16,799 Speaker 2: iHeartRadio app, tune In, and the Bloomberg Business app. You 942 00:44:16,840 --> 00:44:20,000 Speaker 2: can also watch us live every weekday on YouTube and 943 00:44:20,160 --> 00:44:21,760 Speaker 2: always on the Bloomberg Terminal