1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business App. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,040 Speaker 1: us live on YouTube. 6 00:00:27,080 --> 00:00:29,360 Speaker 2: We are thrilled to start this morning and all through 7 00:00:29,360 --> 00:00:33,239 Speaker 2: the day fed coverage with Francis Donald. Incredibly strong is 8 00:00:33,320 --> 00:00:37,320 Speaker 2: chief economist at RBC Capital Markets that can't say enough 9 00:00:37,320 --> 00:00:41,000 Speaker 2: about the acuity, particularly from the border from Canada over 10 00:00:41,080 --> 00:00:45,159 Speaker 2: to the US for North America is well. I'm going 11 00:00:45,240 --> 00:00:48,199 Speaker 2: to make two observations. The money market fund used to 12 00:00:48,200 --> 00:00:51,320 Speaker 2: be four point x even five percent. The money market 13 00:00:51,360 --> 00:00:54,400 Speaker 2: fund is down three point six three point seven percent. 14 00:00:54,680 --> 00:00:58,240 Speaker 2: And the other observation is a landa GDP now. The 15 00:00:58,320 --> 00:01:02,000 Speaker 2: GDP now is a stunning three point five percent. Why 16 00:01:02,040 --> 00:01:05,000 Speaker 2: in God's name are we cutting interest rates? Tom? 17 00:01:05,040 --> 00:01:07,000 Speaker 3: If I woke up this morning and I'd been in 18 00:01:07,000 --> 00:01:09,400 Speaker 3: a coma and all I had was the data, I 19 00:01:09,440 --> 00:01:12,560 Speaker 3: would think, well, this Federal Reserve must be neutral or 20 00:01:12,600 --> 00:01:16,399 Speaker 3: hawkish heading into this period. They are in an environment 21 00:01:16,440 --> 00:01:20,640 Speaker 3: where inflation has been above target for fifty five months, 22 00:01:20,880 --> 00:01:24,080 Speaker 3: the unemployment rate is extraordinarily tight. In fact, there's only 23 00:01:24,120 --> 00:01:26,440 Speaker 3: two times in history, going back to the nineteen seventies, 24 00:01:26,480 --> 00:01:29,199 Speaker 3: when the unemployment rate has been this tight. What happened 25 00:01:29,240 --> 00:01:32,560 Speaker 3: to the concept of normalizing and growth is fine. So 26 00:01:32,720 --> 00:01:34,920 Speaker 3: what I want to hear from Chair Powell today is 27 00:01:35,240 --> 00:01:36,560 Speaker 3: why are you cutting the other. 28 00:01:36,360 --> 00:01:38,920 Speaker 4: Side of the argument. People are saying cut cut, let's go, 29 00:01:39,040 --> 00:01:39,760 Speaker 4: let's go, let's go. 30 00:01:39,840 --> 00:01:42,960 Speaker 2: A hasset Myron Frankly, A lot of other people as 31 00:01:43,000 --> 00:01:44,600 Speaker 2: well state their case. 32 00:01:45,040 --> 00:01:47,960 Speaker 3: Well, the unemployment rate is moving in the quote unquote 33 00:01:48,040 --> 00:01:52,640 Speaker 3: wrong direction, and historically labor markets move like forgive the 34 00:01:52,640 --> 00:01:56,400 Speaker 3: Canadian reference, in a hockey shape direction, which is that 35 00:01:56,680 --> 00:02:00,160 Speaker 3: when they weaken, they tend to weaken aggressively and quickly. 36 00:02:00,360 --> 00:02:01,320 Speaker 4: Except that this. 37 00:02:01,280 --> 00:02:03,840 Speaker 3: Labor market is a very different labor market than what 38 00:02:04,000 --> 00:02:04,480 Speaker 3: we see. 39 00:02:05,000 --> 00:02:05,600 Speaker 4: The game is. 40 00:02:05,640 --> 00:02:08,440 Speaker 2: Different with the stupid bendy sticks now that break all 41 00:02:08,480 --> 00:02:12,079 Speaker 2: the time. Yes, firstus the old days of Victoriaville's and 42 00:02:12,200 --> 00:02:13,560 Speaker 2: CCM five stripes. 43 00:02:13,800 --> 00:02:18,200 Speaker 3: If it's I agree with you, both literally and metaphorically 44 00:02:18,240 --> 00:02:21,320 Speaker 3: when it comes to economic data, which is that the 45 00:02:22,280 --> 00:02:26,519 Speaker 3: hockey sticks are indeed broken for a variety of reasons, 46 00:02:26,600 --> 00:02:29,919 Speaker 3: and I do not expect this unemployment rate to move 47 00:02:29,960 --> 00:02:32,600 Speaker 3: in a hockey shaped type of direction, And in fact, 48 00:02:32,600 --> 00:02:34,920 Speaker 3: I would say, could we maybe work through lunch and 49 00:02:34,960 --> 00:02:37,840 Speaker 3: look at the subcomponents of the unemployment rate, which will 50 00:02:37,880 --> 00:02:40,680 Speaker 3: tell you that the unemployment rate for the prime age 51 00:02:40,680 --> 00:02:44,280 Speaker 3: workers has been relatively stable and really the rise is 52 00:02:44,320 --> 00:02:46,320 Speaker 3: coming from twenty to twenty four year olds. Are we 53 00:02:46,320 --> 00:02:48,440 Speaker 3: cutting rates for twenty twenty four year olds? That's fine, 54 00:02:48,600 --> 00:02:49,799 Speaker 3: but I want to hear. 55 00:02:49,720 --> 00:02:51,359 Speaker 4: That should we do more hockey talk? 56 00:02:51,480 --> 00:02:55,559 Speaker 5: Yeah? Absolutely, like the hockey references. That's all good, Francis. 57 00:02:55,760 --> 00:02:57,600 Speaker 5: All right, let's assume we get the rate cut today. 58 00:02:57,800 --> 00:03:00,560 Speaker 5: What do you think the FED does in twenty twenty six, Well. 59 00:03:00,400 --> 00:03:01,239 Speaker 4: It depends. 60 00:03:01,600 --> 00:03:03,200 Speaker 3: You know, I'm going to be old school on this 61 00:03:03,280 --> 00:03:05,919 Speaker 3: fall and say it depends what the data does in 62 00:03:05,960 --> 00:03:09,160 Speaker 3: twenty twenty six. I am feeling a little introspective that 63 00:03:09,280 --> 00:03:11,760 Speaker 3: I used to spend so much time parceling out FED 64 00:03:11,800 --> 00:03:14,480 Speaker 3: talk because the FED was such a large input into 65 00:03:14,520 --> 00:03:19,040 Speaker 3: the economic outlook. But perhaps it's my now growing old age. 66 00:03:19,040 --> 00:03:20,600 Speaker 3: I didn't have a birthday this weekend, but I do 67 00:03:20,680 --> 00:03:26,440 Speaker 3: have a milestone one coming up, and increasingly I do 68 00:03:26,520 --> 00:03:29,080 Speaker 3: increasingly believe that the data will lead the story. And 69 00:03:29,120 --> 00:03:31,440 Speaker 3: while there are biases that exist within the FED. They're 70 00:03:31,480 --> 00:03:34,880 Speaker 3: probably within a reasonable margin of error. So one meeting 71 00:03:35,200 --> 00:03:37,840 Speaker 3: ahead or before twenty five basis points here or there. 72 00:03:38,040 --> 00:03:40,840 Speaker 3: And the really big problem heading into twenty twenty six is, frankly, 73 00:03:40,880 --> 00:03:43,080 Speaker 3: we're still missing a big chunk of twenty twenty five. 74 00:03:43,360 --> 00:03:46,080 Speaker 3: This Fed's going to this meeting with only real clarity 75 00:03:46,120 --> 00:03:48,360 Speaker 3: on where we were up until September, and I usually 76 00:03:48,360 --> 00:03:51,200 Speaker 3: were about a month delayed, but we're three months delayed, 77 00:03:51,400 --> 00:03:53,760 Speaker 3: and so between now and January we were going to 78 00:03:53,840 --> 00:03:57,360 Speaker 3: get a boatload of more data, three jobs reports, two 79 00:03:57,360 --> 00:03:59,920 Speaker 3: inflation prints, a lot more retail sales. 80 00:04:00,000 --> 00:04:00,640 Speaker 4: Twenty twenty six. 81 00:04:00,720 --> 00:04:04,480 Speaker 3: Clarity is going to become better as we head into 82 00:04:04,600 --> 00:04:06,800 Speaker 3: the end of January, but I will still say I 83 00:04:06,920 --> 00:04:10,520 Speaker 3: cannot believe that we are still not starting every conversation with. 84 00:04:10,440 --> 00:04:11,640 Speaker 4: Respect to tariff policy. 85 00:04:11,680 --> 00:04:13,080 Speaker 3: We are still in the midst of a once in 86 00:04:13,200 --> 00:04:16,640 Speaker 3: one hundred year trade shock. We have not yet seen 87 00:04:16,640 --> 00:04:18,240 Speaker 3: the full effects of that, and we don't even know 88 00:04:18,279 --> 00:04:21,039 Speaker 3: the final trade policies that are coming through going to 89 00:04:21,040 --> 00:04:21,799 Speaker 3: be really meaningful. 90 00:04:21,880 --> 00:04:24,120 Speaker 5: I'm not sure we're ever going to know them. What 91 00:04:24,240 --> 00:04:27,039 Speaker 5: is the view of terrass from Canada, Because you guys 92 00:04:27,040 --> 00:04:28,719 Speaker 5: are kind of a big trading partner for the US. 93 00:04:28,800 --> 00:04:31,320 Speaker 3: The last I heard, we are the primary trading partner. 94 00:04:31,400 --> 00:04:32,480 Speaker 4: Thank yeah. 95 00:04:32,560 --> 00:04:36,359 Speaker 3: So really sector specific, and I think that actually is 96 00:04:36,400 --> 00:04:40,040 Speaker 3: a good microcosm for both the US and Canadian economies 97 00:04:40,080 --> 00:04:42,599 Speaker 3: is that this trade shop has been a very sexual 98 00:04:42,680 --> 00:04:45,679 Speaker 3: and regional shock. So if you look in Canada, for example, 99 00:04:45,760 --> 00:04:49,200 Speaker 3: there are autos and steel and aluminum that have been 100 00:04:49,520 --> 00:04:52,200 Speaker 3: impacted to a certain extent, and in the United States, 101 00:04:52,200 --> 00:04:55,359 Speaker 3: same story, which is trade related. Sectors are shedding jobs, 102 00:04:55,400 --> 00:04:59,159 Speaker 3: but they're being offset pretty substantially by the healthcare sector 103 00:04:59,200 --> 00:05:01,680 Speaker 3: that is growing. And so the trade shop for me 104 00:05:01,760 --> 00:05:05,279 Speaker 3: has been a reminder that one GDP story, one inflation story, 105 00:05:05,320 --> 00:05:08,160 Speaker 3: one consumer story is no longer relevant and are telling 106 00:05:08,200 --> 00:05:10,560 Speaker 3: the real stories. And while we like to think that 107 00:05:10,720 --> 00:05:13,240 Speaker 3: one forecast on one sheet of paper will guide all 108 00:05:13,279 --> 00:05:17,000 Speaker 3: investment decisions, you have to reincreasingly bottom up and thinking 109 00:05:17,000 --> 00:05:19,520 Speaker 3: about watch sectors are being impacted, and that's the real 110 00:05:19,560 --> 00:05:22,360 Speaker 3: tariff impact that gets lost amidst the what is your 111 00:05:22,360 --> 00:05:24,440 Speaker 3: CPI forecast with respective tarif policy? 112 00:05:24,480 --> 00:05:27,640 Speaker 2: Bloomberg surveillance across the nation, across Canada as well with 113 00:05:27,839 --> 00:05:30,360 Speaker 2: US Francis Donald RBC, a lot of other good guests 114 00:05:30,880 --> 00:05:34,960 Speaker 2: coming up here to really flesh out this really interesting 115 00:05:35,160 --> 00:05:38,320 Speaker 2: nuanced FED day. And as Francis and Paul mentioned, we're 116 00:05:38,360 --> 00:05:41,080 Speaker 2: a little blind heer on economic data. Maybe it's not 117 00:05:41,160 --> 00:05:43,720 Speaker 2: as blind as six weeks ago, but we're blind. And 118 00:05:43,760 --> 00:05:45,880 Speaker 2: we get a bunch of data coming up on Serious 119 00:05:46,040 --> 00:05:49,479 Speaker 2: XM Channel one twenty one, Good Morning Canada. And we 120 00:05:49,680 --> 00:05:54,120 Speaker 2: also say on YouTube, subscribe to Bloomberg podcast. Okay, so 121 00:05:54,160 --> 00:05:56,520 Speaker 2: we're going to get a meeting and he's going to 122 00:05:56,560 --> 00:05:58,440 Speaker 2: basically say what you said. We're going to get a 123 00:05:58,480 --> 00:06:02,120 Speaker 2: lot of data here. It's a toggle switch. We're going 124 00:06:02,200 --> 00:06:07,320 Speaker 2: to be December twenty nine, December twenty seven. OMG Powell 125 00:06:07,400 --> 00:06:10,440 Speaker 2: was brilliant or OMG's a dummy? I mean, if that's 126 00:06:10,440 --> 00:06:11,360 Speaker 2: simple right. 127 00:06:11,360 --> 00:06:13,680 Speaker 3: Well, as Powell has told us, there is no risk 128 00:06:13,720 --> 00:06:16,760 Speaker 3: free path. The one thing I'll say is that there 129 00:06:16,800 --> 00:06:19,280 Speaker 3: is if you do have a buyas towards cutting, and 130 00:06:19,320 --> 00:06:21,920 Speaker 3: this Central Bank does have a bias towards that they 131 00:06:22,360 --> 00:06:24,520 Speaker 3: have expressed in multiple different ways that they want to 132 00:06:24,520 --> 00:06:26,640 Speaker 3: be closer to neutral. Now is your window. 133 00:06:26,920 --> 00:06:27,440 Speaker 6: You have a. 134 00:06:27,360 --> 00:06:29,839 Speaker 3: Window where actually the lack of data has given you 135 00:06:29,920 --> 00:06:32,960 Speaker 3: more optionality, but that window will close. 136 00:06:33,000 --> 00:06:33,960 Speaker 4: It will close by. 137 00:06:33,839 --> 00:06:36,839 Speaker 3: February when inflation starts to move much higher, and you 138 00:06:36,920 --> 00:06:39,919 Speaker 3: don't see that material duration in the deterioration in the labor. 139 00:06:39,760 --> 00:06:43,479 Speaker 2: Markt what does your own Powell do today for small 140 00:06:43,520 --> 00:06:44,600 Speaker 2: business in America? 141 00:06:44,720 --> 00:06:46,600 Speaker 4: Like the Palace which is just getting by? 142 00:06:46,839 --> 00:06:49,000 Speaker 3: Well, I got the wrong morning invite. It sounds like 143 00:06:49,080 --> 00:06:52,719 Speaker 3: right off the top, but I think that very little. 144 00:06:52,920 --> 00:06:55,320 Speaker 3: And as I said earlier, we used to talk a 145 00:06:55,360 --> 00:06:58,920 Speaker 3: lot about how FED policy was a major input into 146 00:06:59,000 --> 00:07:02,200 Speaker 3: the economy, but this is economy is decreasingly rate sensitive 147 00:07:02,240 --> 00:07:05,360 Speaker 3: on a go forward basis. The argument that we're going 148 00:07:05,400 --> 00:07:07,279 Speaker 3: to hear from the Fed is that the labor market 149 00:07:07,480 --> 00:07:12,080 Speaker 3: is deteriorating and therefore probably we're in restrictive policy. But 150 00:07:12,200 --> 00:07:15,000 Speaker 3: who is policy restrictive for right now? And if we 151 00:07:15,040 --> 00:07:17,480 Speaker 3: ease it by twenty five basis points, will you see 152 00:07:17,520 --> 00:07:20,640 Speaker 3: material changes? Our point has been that the real pain 153 00:07:20,880 --> 00:07:23,560 Speaker 3: of affordability and the real pain of prices and what's 154 00:07:23,600 --> 00:07:27,080 Speaker 3: weighing on small businesses is coming from things like tariffs, 155 00:07:27,360 --> 00:07:30,520 Speaker 3: not restrictive rate policy. So rate cuts today are like 156 00:07:30,600 --> 00:07:33,160 Speaker 3: taking a tail and all for a broken arm. It'll help, 157 00:07:33,200 --> 00:07:34,280 Speaker 3: but it's not going to curry. 158 00:07:34,120 --> 00:07:38,200 Speaker 2: You to Thailand al yesterday for a birthday. Tell twelve seconds. 159 00:07:38,200 --> 00:07:40,040 Speaker 2: Are the bond vigilantes out? 160 00:07:41,000 --> 00:07:43,600 Speaker 3: The bond vigilantes are always out, But where are they 161 00:07:43,640 --> 00:07:46,440 Speaker 3: on the curve is maybe the more important question. And 162 00:07:46,760 --> 00:07:49,040 Speaker 3: I suspect that they will be more present as we 163 00:07:49,120 --> 00:07:51,360 Speaker 3: head into February March, when that inflation data starts to 164 00:07:51,360 --> 00:07:51,560 Speaker 3: take it. 165 00:07:51,640 --> 00:07:54,760 Speaker 2: Oh yet, folks, I promise into the December, into the 166 00:07:54,800 --> 00:07:57,080 Speaker 2: beginning of the year, we will give you more information 167 00:07:57,560 --> 00:08:01,120 Speaker 2: on the nuances of what Francis Donald calls the spread market. 168 00:08:01,320 --> 00:08:05,560 Speaker 2: There's some huge dynamics going on right now. Francis Donald 169 00:08:05,600 --> 00:08:09,040 Speaker 2: with us with OURBC. Thank you so much for joining us. 170 00:08:09,200 --> 00:08:09,920 Speaker 4: Stay with us. 171 00:08:10,160 --> 00:08:13,400 Speaker 2: More from Bloomberg Surveillance coming up after this. 172 00:08:20,640 --> 00:08:24,200 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 173 00:08:24,280 --> 00:08:27,440 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on 174 00:08:27,520 --> 00:08:31,200 Speaker 1: Applecarplay and Android Auto with the Bloomberg Business app, or 175 00:08:31,320 --> 00:08:32,920 Speaker 1: watch us live on YouTube. 176 00:08:33,080 --> 00:08:36,000 Speaker 2: When you hear me say we protect the copyright of 177 00:08:36,040 --> 00:08:39,640 Speaker 2: all of our guests, we take it very, very seriously. 178 00:08:40,080 --> 00:08:42,320 Speaker 2: I have in front of me a coveted five page 179 00:08:42,320 --> 00:08:47,200 Speaker 2: note from Moffatt and Nathanson in there. Just wonderful, Robert Fishman. 180 00:08:47,360 --> 00:08:52,360 Speaker 2: It's loaded with global Wall Street knowledge on this media merger. 181 00:08:52,679 --> 00:08:55,920 Speaker 2: We're thrilled at. Robert Fishman joins us right now, Robert, 182 00:08:55,960 --> 00:08:58,800 Speaker 2: I went right to exhibit too, which is the deal 183 00:08:58,880 --> 00:09:02,720 Speaker 2: valuation of Warner Brothers. It's three bar charts, folks, and 184 00:09:02,800 --> 00:09:06,600 Speaker 2: right in the middle is run rate synergies. I don't 185 00:09:06,640 --> 00:09:10,720 Speaker 2: buy for a minute anything, but whatever's going to get done, 186 00:09:11,120 --> 00:09:15,280 Speaker 2: there's going to be synergies way larger than what's published now. 187 00:09:15,400 --> 00:09:16,319 Speaker 4: Am I right on that? 188 00:09:17,960 --> 00:09:21,360 Speaker 7: So I assume you're first talking about the Netflix did 189 00:09:21,640 --> 00:09:25,800 Speaker 7: if we want to start there, and so, yes, I 190 00:09:25,840 --> 00:09:28,240 Speaker 7: think the answer to your question is that there's likely 191 00:09:28,280 --> 00:09:33,040 Speaker 7: to be more synergies from a Netflix Warner Brothers combination. 192 00:09:33,640 --> 00:09:37,559 Speaker 7: I think there's you bound to be some cost efficiencies 193 00:09:37,600 --> 00:09:40,880 Speaker 7: when I'm thinking about the programming spend and content spending 194 00:09:40,920 --> 00:09:44,440 Speaker 7: of putting those two companies together. But that's that's where 195 00:09:44,440 --> 00:09:47,360 Speaker 7: the company has started in terms of laying out what 196 00:09:48,120 --> 00:09:50,520 Speaker 7: the cost energies are for this deal. 197 00:09:50,559 --> 00:09:53,400 Speaker 4: Using the pro ratio evy to EB. I learned this 198 00:09:53,480 --> 00:09:56,199 Speaker 4: from Michaels. I know the only reason I know it. 199 00:09:56,559 --> 00:10:00,440 Speaker 2: Robert Fishman if you get synergies over six billion, do 200 00:10:00,559 --> 00:10:05,479 Speaker 2: you get ev to ebit which proves valuable for Netflix shareholders. 201 00:10:07,400 --> 00:10:09,800 Speaker 8: So let's let's break this down. 202 00:10:09,960 --> 00:10:14,240 Speaker 7: So what Netflix has said so far is two to 203 00:10:14,320 --> 00:10:19,400 Speaker 7: three billion dollars of cost energies. Paramount Skydance has thrown 204 00:10:19,440 --> 00:10:23,040 Speaker 7: out the six billion dollar cost energy number because they 205 00:10:23,040 --> 00:10:28,120 Speaker 7: are also buying the Global Networks portfolio. So the numbers 206 00:10:28,120 --> 00:10:32,440 Speaker 7: aren't really apples to apples because you have to clearly 207 00:10:33,000 --> 00:10:37,800 Speaker 7: understand that when putting the Paramount Skydance portfolio of cable 208 00:10:37,840 --> 00:10:42,000 Speaker 7: networks together along with the Warner Brothers portfolio of networks, 209 00:10:42,040 --> 00:10:45,240 Speaker 7: that there will be much larger cost energies when thinking 210 00:10:45,240 --> 00:10:49,440 Speaker 7: about that versus Netflix, which is only just bidding on 211 00:10:49,760 --> 00:10:53,360 Speaker 7: the streaming and studio assets in Warner Brothers. So again, 212 00:10:53,600 --> 00:10:56,960 Speaker 7: it's not exactly apples to apples when comparing the two numbers. 213 00:10:57,080 --> 00:11:00,160 Speaker 5: Hey, Rob, you know talking to some investors, heare One 214 00:11:00,160 --> 00:11:03,480 Speaker 5: of the narratives I'm getting is for Netflix, this is 215 00:11:03,480 --> 00:11:07,360 Speaker 5: a really nice to have. For Paramount Skuiddance, this is 216 00:11:07,559 --> 00:11:08,680 Speaker 5: kind of a must have. 217 00:11:09,360 --> 00:11:10,959 Speaker 4: Do you view it that way? 218 00:11:11,520 --> 00:11:15,400 Speaker 7: We do from the Paramount Skuidance side, and why we 219 00:11:15,480 --> 00:11:19,000 Speaker 7: upgraded Warner Brothers Discovery at the beginning of the year 220 00:11:19,520 --> 00:11:23,360 Speaker 7: is we thought that the consolidation in the industry was inevitable. 221 00:11:23,640 --> 00:11:26,400 Speaker 7: I think Michael's been on the show you over many 222 00:11:26,520 --> 00:11:29,680 Speaker 7: years talking about this. And so when you think about 223 00:11:29,720 --> 00:11:33,680 Speaker 7: who that the natural dance partners are, it was Comcast 224 00:11:33,760 --> 00:11:38,600 Speaker 7: and it still is, Paramount Skuydance now after the Skydance 225 00:11:38,640 --> 00:11:42,400 Speaker 7: deal and Warner Brothers Discovery. Those three are the most 226 00:11:42,520 --> 00:11:46,640 Speaker 7: natural players because they're all subscale in streaming. So when 227 00:11:46,640 --> 00:11:50,360 Speaker 7: thinking about how to solve that streaming scale issue from 228 00:11:50,360 --> 00:11:53,800 Speaker 7: a global basis, it's just natural to think that you 229 00:11:53,880 --> 00:11:57,000 Speaker 7: need to see some combination of those players. And so 230 00:11:57,120 --> 00:12:00,000 Speaker 7: that's essentially what's playing out in front of us. Paramounts 231 00:12:00,040 --> 00:12:04,160 Speaker 7: Skydance needs these assets in order to accelerate the timing 232 00:12:04,240 --> 00:12:07,480 Speaker 7: to reach the scale that they're desiring on a global 233 00:12:07,480 --> 00:12:09,720 Speaker 7: scale basis for Paramount Plus. 234 00:12:10,160 --> 00:12:11,800 Speaker 8: So yes, we very. 235 00:12:11,679 --> 00:12:15,200 Speaker 7: Much think that the combination with Paramount Skuidance is a 236 00:12:15,320 --> 00:12:15,720 Speaker 7: must have. 237 00:12:16,400 --> 00:12:19,680 Speaker 5: Rob the from an other perspective, if your Warner Brothers 238 00:12:19,720 --> 00:12:24,040 Speaker 5: Discover Discovery aside from price, do you think they have 239 00:12:24,160 --> 00:12:29,720 Speaker 5: a preference for one or the other and why so? 240 00:12:30,320 --> 00:12:32,920 Speaker 7: I think what we saw so far is that the 241 00:12:32,920 --> 00:12:36,720 Speaker 7: preference was Netflix, and you know that's they announced that 242 00:12:36,800 --> 00:12:41,080 Speaker 7: the deal on Friday, and you know, if you believe 243 00:12:41,160 --> 00:12:45,119 Speaker 7: everything that that's been written and that the paramount Skuidance 244 00:12:45,559 --> 00:12:49,240 Speaker 7: has put out from their perspective, they didn't continue to 245 00:12:49,320 --> 00:12:51,880 Speaker 7: engage with them. So I think that the preference on 246 00:12:51,920 --> 00:12:55,800 Speaker 7: the Warner Brothers Discovery side so far was Netflix. And 247 00:12:56,200 --> 00:12:58,080 Speaker 7: you know that that might be for a few different 248 00:12:58,120 --> 00:13:00,880 Speaker 7: reasons if you want to break that down. I mean, clearly, 249 00:13:01,000 --> 00:13:06,280 Speaker 7: Netflix brings an unprecedented global scale when thinking about what 250 00:13:06,320 --> 00:13:10,000 Speaker 7: the opportunity is for Netflix to monetize this content, and 251 00:13:10,040 --> 00:13:13,280 Speaker 7: Warner Brothers has licensed that content to Netflix. 252 00:13:12,880 --> 00:13:15,080 Speaker 8: Already, you know, over the many years. 253 00:13:15,120 --> 00:13:20,280 Speaker 7: So Netflix has essentially perfect information knowing how the content 254 00:13:20,360 --> 00:13:24,760 Speaker 7: would perform on their platform. And that's the opportunity that 255 00:13:24,840 --> 00:13:27,640 Speaker 7: I think that the company sees when monetizing this content 256 00:13:27,720 --> 00:13:28,360 Speaker 7: going forward. 257 00:13:28,720 --> 00:13:30,680 Speaker 4: Robert Fishman with us. We thrilledies with us. 258 00:13:30,720 --> 00:13:34,160 Speaker 2: Today's with Mafatt Nathanson to give you a perspective here. 259 00:13:34,559 --> 00:13:40,040 Speaker 2: Mafatt Nathanson out of Sanford Bernstein redefined independent media at 260 00:13:40,080 --> 00:13:42,760 Speaker 2: research again. Their research here in the last couple of 261 00:13:42,840 --> 00:13:47,760 Speaker 2: days has been just absolutely superb Rob Robert. One of 262 00:13:47,800 --> 00:13:51,480 Speaker 2: the joys of this process has been Michael Nathanson's long, 263 00:13:51,600 --> 00:13:55,480 Speaker 2: long note here on the merger on the first time 264 00:13:55,559 --> 00:13:59,240 Speaker 2: he met the leadership of Netflix in a nondescript office 265 00:13:59,320 --> 00:14:00,440 Speaker 2: ears in years. 266 00:14:00,320 --> 00:14:03,880 Speaker 4: Ago, and he says, it's media one oh one. 267 00:14:04,679 --> 00:14:07,400 Speaker 2: Do these mergers succeed or are we now at the 268 00:14:07,400 --> 00:14:09,760 Speaker 2: point where it's just ego and they're going to be 269 00:14:09,800 --> 00:14:11,600 Speaker 2: bad outcomes down the road. 270 00:14:13,640 --> 00:14:17,240 Speaker 7: Unfortunately, we do have a long history that you know, 271 00:14:17,360 --> 00:14:21,480 Speaker 7: Michael and I have been a part of where media 272 00:14:21,640 --> 00:14:23,960 Speaker 7: m and A is a lot more difficult to pull 273 00:14:24,000 --> 00:14:28,320 Speaker 7: off than just what the spreadsheets tell you. And yes, 274 00:14:28,480 --> 00:14:31,000 Speaker 7: you can, you can get to accretion, you can get 275 00:14:31,040 --> 00:14:34,800 Speaker 7: to you know, potential upside over the longer term when 276 00:14:34,800 --> 00:14:39,280 Speaker 7: thinking about how a new owner can take the assets 277 00:14:39,280 --> 00:14:43,640 Speaker 7: and redefine them. But the long history of media M 278 00:14:43,680 --> 00:14:47,400 Speaker 7: and A suggests that it's even more difficult than we 279 00:14:47,440 --> 00:14:48,280 Speaker 7: would all seem. 280 00:14:48,520 --> 00:14:50,000 Speaker 8: I think a lot of that comes. 281 00:14:49,760 --> 00:14:52,520 Speaker 7: Down to the culture, and you know, when you start 282 00:14:52,560 --> 00:14:57,200 Speaker 7: smashing different cultures together, that obviously becomes a challenge, especially 283 00:14:57,240 --> 00:15:00,880 Speaker 7: in the media industry given the creative output that is needed, 284 00:15:01,240 --> 00:15:04,360 Speaker 7: but also just when thinking about where the headwinds and 285 00:15:04,760 --> 00:15:08,080 Speaker 7: the tailwinds are for the industry. A lot of these 286 00:15:08,240 --> 00:15:11,520 Speaker 7: recent media mergers have been focused more on the cable 287 00:15:11,560 --> 00:15:14,960 Speaker 7: network side, and clearly that the linear ecosystem has had 288 00:15:15,040 --> 00:15:18,120 Speaker 7: challenges over the past few years. So even with the 289 00:15:18,280 --> 00:15:21,200 Speaker 7: m and A potential and the cost cutting where we 290 00:15:21,280 --> 00:15:26,080 Speaker 7: started here, we haven't seen the true upside of those 291 00:15:26,120 --> 00:15:29,360 Speaker 7: deals because it's really just enabled them to cut costs 292 00:15:29,400 --> 00:15:31,360 Speaker 7: to offset the revenue headline synergy. 293 00:15:31,600 --> 00:15:33,360 Speaker 8: Yeah, that's Robert. 294 00:15:34,040 --> 00:15:39,240 Speaker 5: The regulatory hurdles here seemed pretty high for both players. 295 00:15:39,280 --> 00:15:40,920 Speaker 5: How do you game that out for both of these 296 00:15:40,960 --> 00:15:41,440 Speaker 5: bids here. 297 00:15:43,280 --> 00:15:46,920 Speaker 7: Yeah, there's a lot of noise around regulatory approval right now. 298 00:15:47,040 --> 00:15:52,400 Speaker 7: I mean clearly from the Paramount Skydance side, they seem 299 00:15:52,520 --> 00:15:55,800 Speaker 7: to have an upper hand right now just in terms 300 00:15:55,800 --> 00:16:00,480 Speaker 7: of the administration relationships that they have. At the same 301 00:16:00,520 --> 00:16:03,480 Speaker 7: time that the true answer should come down to how 302 00:16:03,520 --> 00:16:07,040 Speaker 7: the market is defined, and I think what Netflix is 303 00:16:08,520 --> 00:16:11,840 Speaker 7: out there talking about is when you when you view 304 00:16:12,000 --> 00:16:17,440 Speaker 7: the overall market to total total media consumption and look 305 00:16:17,480 --> 00:16:21,120 Speaker 7: at how Nielsen measures it, Netflix today only has eight 306 00:16:21,160 --> 00:16:24,520 Speaker 7: percent of that total pie, of the viewership pie in 307 00:16:24,560 --> 00:16:28,000 Speaker 7: the US, and so when you when you compare who 308 00:16:28,160 --> 00:16:33,480 Speaker 7: who Netflix is actually competing against YouTube actually has a 309 00:16:33,520 --> 00:16:36,960 Speaker 7: bigger share of that viewing pie and so on the 310 00:16:36,960 --> 00:16:40,280 Speaker 7: streaming side. And so when when you start thinking about 311 00:16:40,560 --> 00:16:44,480 Speaker 7: all the different portfolio of assets, Netflix actually is not 312 00:16:44,760 --> 00:16:48,720 Speaker 7: number one or two. The traditional media guys are above 313 00:16:48,800 --> 00:16:52,840 Speaker 7: them in terms of when you combine the linear television viewers. 314 00:16:53,000 --> 00:16:54,880 Speaker 4: Cut to the chase, Robert Fishman, do you think the 315 00:16:54,920 --> 00:16:55,960 Speaker 4: government is going to buy that? 316 00:16:57,840 --> 00:17:01,160 Speaker 7: I think it comes down to how you define the market. 317 00:17:01,280 --> 00:17:04,280 Speaker 7: And I think Netflix has a really strong point of 318 00:17:04,320 --> 00:17:07,560 Speaker 7: view here because what we haven't even talked about TikTok 319 00:17:07,920 --> 00:17:10,439 Speaker 7: and you know, Instagram, so that there are lots of 320 00:17:10,480 --> 00:17:13,920 Speaker 7: different ways that people engage with content these days. 321 00:17:13,920 --> 00:17:16,159 Speaker 2: I mean, I'm looking Robert Fishman at the end of 322 00:17:16,200 --> 00:17:19,560 Speaker 2: the Nathanson note, folks, ma fit Nathanson was way out 323 00:17:19,600 --> 00:17:20,959 Speaker 2: front on cord cutting. 324 00:17:21,040 --> 00:17:22,880 Speaker 4: Can't say enough about this. 325 00:17:23,200 --> 00:17:27,520 Speaker 2: And there he's got the F free, the phrase free options. 326 00:17:27,680 --> 00:17:31,680 Speaker 2: Like YouTube, Robert Fishman, the vector on YouTube is going up. 327 00:17:32,400 --> 00:17:35,560 Speaker 2: The vector on Netflix is flat. Why is that going 328 00:17:35,640 --> 00:17:37,000 Speaker 2: to change? 329 00:17:38,520 --> 00:17:41,200 Speaker 7: Well as part of this deal, I think what Netflix 330 00:17:41,560 --> 00:17:44,639 Speaker 7: is looking to do is exactly, you know, focus on 331 00:17:44,720 --> 00:17:49,520 Speaker 7: that engagement because to your point, yes, engagement is a 332 00:17:49,560 --> 00:17:51,840 Speaker 7: little bit more than flatted. It's been growing in the 333 00:17:51,880 --> 00:17:56,280 Speaker 7: second half, but compared to YouTube, no one is really 334 00:17:56,320 --> 00:18:00,359 Speaker 7: growing as fast as YouTube is over the past year loss. 335 00:18:00,720 --> 00:18:03,159 Speaker 7: And so what I think Netflix is looking at is 336 00:18:03,400 --> 00:18:06,680 Speaker 7: how can we supercharge our engagement through all of this 337 00:18:07,119 --> 00:18:08,440 Speaker 7: really premium content. 338 00:18:08,480 --> 00:18:10,440 Speaker 8: When thinking about HBO and. 339 00:18:10,400 --> 00:18:14,320 Speaker 7: The Warner Brothers library on the television side, plus all 340 00:18:14,359 --> 00:18:18,720 Speaker 7: the theatrical releases that come with that, that's a very 341 00:18:18,840 --> 00:18:23,160 Speaker 7: unique and rare opportunity to buy all this amazing premium 342 00:18:23,200 --> 00:18:27,400 Speaker 7: franchise content and help allow Netflix to really lean in 343 00:18:27,760 --> 00:18:29,560 Speaker 7: so that they can accelerate engagement. 344 00:18:29,600 --> 00:18:32,560 Speaker 5: Again, Robert, one of the variables in the Netflix deal 345 00:18:32,680 --> 00:18:36,480 Speaker 5: is how to value the cable network business that Warner 346 00:18:36,480 --> 00:18:39,080 Speaker 5: Brothers Discovery is going to spin out prior to a 347 00:18:39,080 --> 00:18:42,800 Speaker 5: potential acquisition by Netflix. I've seen anything from one dollar 348 00:18:42,840 --> 00:18:44,679 Speaker 5: to four or five dollars per share. How do you 349 00:18:44,680 --> 00:18:45,320 Speaker 5: guys value it? 350 00:18:46,800 --> 00:18:50,160 Speaker 7: Yeah, so we're working through all the updated numbers now, 351 00:18:50,240 --> 00:18:55,320 Speaker 7: but what we can say is clearly, when thinking about 352 00:18:55,359 --> 00:18:59,239 Speaker 7: what the value of this remaining asset would be, it 353 00:18:59,280 --> 00:19:01,640 Speaker 7: comes down to how how much net debt is really 354 00:19:01,760 --> 00:19:05,000 Speaker 7: left there From the equity perspective, So even if you 355 00:19:05,040 --> 00:19:07,399 Speaker 7: want to put a four to five times multiple on 356 00:19:07,960 --> 00:19:11,879 Speaker 7: the debate, and the range of how much equity value 357 00:19:12,119 --> 00:19:15,600 Speaker 7: is left after that really comes down to the net debt. 358 00:19:15,880 --> 00:19:18,320 Speaker 8: So what we're working through, you know, after all. 359 00:19:18,240 --> 00:19:21,120 Speaker 7: Of these deals have been announced, is how much has 360 00:19:21,200 --> 00:19:24,480 Speaker 7: transferred over you know, as part of the one scenario Netflix, 361 00:19:24,480 --> 00:19:27,320 Speaker 7: and how much is left if it is a standalone entity. 362 00:19:27,960 --> 00:19:30,280 Speaker 7: And that's the biggest wing factor in terms of the 363 00:19:30,359 --> 00:19:31,520 Speaker 7: dollar versus four. 364 00:19:31,680 --> 00:19:35,359 Speaker 2: Just one final question to Craig Moffatt and his historic work, 365 00:19:35,880 --> 00:19:37,480 Speaker 2: is cord cutting continuing? 366 00:19:39,800 --> 00:19:42,320 Speaker 7: So we just put out an updated note on this, 367 00:19:42,400 --> 00:19:45,719 Speaker 7: so I appreciate you asking. We've actually seen, for the 368 00:19:45,760 --> 00:19:49,480 Speaker 7: first time in a very long time, you know, cord 369 00:19:49,520 --> 00:19:51,439 Speaker 7: cutting actually start to get better. 370 00:19:51,840 --> 00:19:53,120 Speaker 8: And what do I mean by that? 371 00:19:53,160 --> 00:19:57,199 Speaker 7: We actually saw net ads grow this quarter, which is 372 00:19:57,280 --> 00:20:00,520 Speaker 7: really an unthinkable statement, you know, even twelve months ago. 373 00:20:01,000 --> 00:20:04,120 Speaker 7: And so where's that growth coming? From YouTube TV? Back 374 00:20:04,119 --> 00:20:06,800 Speaker 7: to our friends there, you know, continue to show some 375 00:20:06,840 --> 00:20:11,639 Speaker 7: really strong momentum, but also from the traditional distributors. You 376 00:20:11,640 --> 00:20:13,760 Speaker 7: know that that you've talked about with Craig for many 377 00:20:13,760 --> 00:20:17,320 Speaker 7: many years. Carter has turned the corner and they have 378 00:20:17,600 --> 00:20:20,560 Speaker 7: you know, started in to decline less and that's really 379 00:20:20,600 --> 00:20:23,760 Speaker 7: helped allow the overall industry to see improvements in that 380 00:20:23,840 --> 00:20:26,719 Speaker 7: core cutting trend. So, as you know, it's something that 381 00:20:26,760 --> 00:20:30,520 Speaker 7: we watched very closely and see after football season, how 382 00:20:30,560 --> 00:20:32,240 Speaker 7: many of those subscribers stick around. 383 00:20:32,359 --> 00:20:33,480 Speaker 4: Robert Fisherman, brilliant. 384 00:20:33,680 --> 00:20:36,520 Speaker 2: Thank you, thank you, Thank you so much again, Robert 385 00:20:36,520 --> 00:20:40,080 Speaker 2: Fisherman with Moffatt Nathanson. Thank you to Moffett Nathanson, Tyra, 386 00:20:40,160 --> 00:20:43,480 Speaker 2: thank you for getting those notes over to us today. 387 00:20:44,000 --> 00:20:44,760 Speaker 4: Stay with us. 388 00:20:44,960 --> 00:20:55,280 Speaker 2: More from Bloomberg Surveillance coming up after this. 389 00:20:55,280 --> 00:20:59,159 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 390 00:20:59,200 --> 00:21:02,520 Speaker 1: starting at seven eight on Apple, Cocklay and Android Auto 391 00:21:02,640 --> 00:21:05,600 Speaker 1: with the Bloomberg Business App. You can also listen live 392 00:21:05,680 --> 00:21:09,280 Speaker 1: on Amazon Alexa from our flagship New York station. Just 393 00:21:09,320 --> 00:21:11,840 Speaker 1: say Alexa play Bloomberg eleven thirty. 394 00:21:12,240 --> 00:21:15,200 Speaker 2: We are migrate over to Amanda Agotti. Thrilled and she's 395 00:21:15,240 --> 00:21:18,159 Speaker 2: been with us. Thank you for being so patient with 396 00:21:18,200 --> 00:21:21,199 Speaker 2: a s Amanda Gottis with PNC Bank. What does a 397 00:21:21,240 --> 00:21:26,080 Speaker 2: stock market want, Amanda Agatti out of today's fed festivities. 398 00:21:27,160 --> 00:21:30,080 Speaker 9: Well, I'm still hung up on your comment about private 399 00:21:30,080 --> 00:21:31,639 Speaker 9: equity buying into Penn State. 400 00:21:31,840 --> 00:21:32,760 Speaker 4: My jaw dropped. 401 00:21:32,800 --> 00:21:35,280 Speaker 9: You couldn't see it, but I was listening to you guys. 402 00:21:35,720 --> 00:21:38,720 Speaker 9: It's a value play. We can talk all day long 403 00:21:39,200 --> 00:21:41,840 Speaker 9: about Penn State football, but I'm going to refocus here 404 00:21:41,880 --> 00:21:45,359 Speaker 9: on FED day. Market wants a rate cut, but honestly, 405 00:21:45,520 --> 00:21:47,840 Speaker 9: the market's already got it priced in, so it's much 406 00:21:47,880 --> 00:21:52,040 Speaker 9: more about the path forward from here. Our base cases 407 00:21:52,160 --> 00:21:55,720 Speaker 9: maybe we get another one two as a stretch assignment 408 00:21:55,840 --> 00:21:58,480 Speaker 9: rate cuts in the new year. But I think the 409 00:21:58,520 --> 00:22:02,320 Speaker 9: market is maybe particularly interested in what the FED says 410 00:22:02,359 --> 00:22:05,520 Speaker 9: today about the liquidity profile of the market. You know, 411 00:22:05,800 --> 00:22:06,560 Speaker 9: our bank. 412 00:22:06,359 --> 00:22:07,679 Speaker 4: Reserves too low. 413 00:22:07,840 --> 00:22:10,960 Speaker 9: What are they thinking as it relates to QE or 414 00:22:11,000 --> 00:22:13,840 Speaker 9: maybe a QE LTE kind of program. Some of those 415 00:22:13,960 --> 00:22:16,760 Speaker 9: other topics I think are going to be more important 416 00:22:16,800 --> 00:22:18,879 Speaker 9: today in terms of the market's path forward than just 417 00:22:19,000 --> 00:22:19,920 Speaker 9: twenty five bits. 418 00:22:20,240 --> 00:22:22,480 Speaker 5: So if we do get twenty five basis points today, 419 00:22:22,520 --> 00:22:27,760 Speaker 5: maybe one, maybe two rate cuts next year, where's the 420 00:22:27,800 --> 00:22:30,760 Speaker 5: opportunity for P and C asset management in twenty twenty six. 421 00:22:30,760 --> 00:22:33,280 Speaker 5: Because we've had a really solid twenty twenty five in 422 00:22:33,359 --> 00:22:36,200 Speaker 5: both stocks end bonds. We sure have. 423 00:22:36,359 --> 00:22:40,200 Speaker 9: It's been a very very successful year. We'll take it 424 00:22:40,280 --> 00:22:42,480 Speaker 9: somewhat unexpected I think, I mean, we thought it was 425 00:22:42,520 --> 00:22:43,800 Speaker 9: going to be a good year. We didn't think it 426 00:22:43,800 --> 00:22:45,679 Speaker 9: was going to be quite this strong. But again, this 427 00:22:45,840 --> 00:22:48,560 Speaker 9: is an easy place to be wrong on. You have 428 00:22:49,000 --> 00:22:51,840 Speaker 9: such strong market returns. We think next year is going 429 00:22:51,880 --> 00:22:55,520 Speaker 9: to be another positive year, a little bit more muted. 430 00:22:55,720 --> 00:22:58,920 Speaker 9: That's not saying too much given returns this year, but 431 00:22:58,960 --> 00:23:02,240 Speaker 9: a little bit more muted next year really because we 432 00:23:02,320 --> 00:23:04,840 Speaker 9: think the purple haze of policy uncertainty is going to 433 00:23:04,880 --> 00:23:09,920 Speaker 9: continue to dominate next year. Midterm election year notoriously difficult 434 00:23:09,920 --> 00:23:12,159 Speaker 9: for equity market. So I think it's going to be 435 00:23:12,160 --> 00:23:16,160 Speaker 9: a choppy kind of policy noise driven sort of a year. 436 00:23:16,200 --> 00:23:19,359 Speaker 9: But the underlying fundamentals are so strong that by the 437 00:23:19,480 --> 00:23:20,960 Speaker 9: end of the year, I think we're going to be 438 00:23:21,000 --> 00:23:22,720 Speaker 9: in strong positive territory. 439 00:23:22,840 --> 00:23:27,119 Speaker 2: The heritage Amanda agattif PNC Bank is of course Stuart 440 00:23:27,160 --> 00:23:32,000 Speaker 2: Hoffman and really grounded economics. Do you buy the three 441 00:23:32,040 --> 00:23:35,400 Speaker 2: and a half percent run rate on GDP we see 442 00:23:35,440 --> 00:23:37,000 Speaker 2: out of Atlanta Fed right now. 443 00:23:38,520 --> 00:23:42,520 Speaker 9: Well, we certainly have gotten better than expected results really 444 00:23:42,560 --> 00:23:46,040 Speaker 9: over the course of this year. The Stu Hoffman or 445 00:23:46,119 --> 00:23:49,480 Speaker 9: the house view in terms of the economic forecast for 446 00:23:49,560 --> 00:23:53,000 Speaker 9: next year is a bit slower on a relative basis. 447 00:23:53,080 --> 00:23:57,000 Speaker 9: We're not talking recession, we're not even talking flatlining in 448 00:23:57,080 --> 00:23:59,040 Speaker 9: terms of growth, but I think there is a little 449 00:23:59,080 --> 00:24:01,520 Speaker 9: bit of a moderation in terms of that growth rate 450 00:24:01,840 --> 00:24:04,479 Speaker 9: that we would expect to see next year. The wild 451 00:24:04,520 --> 00:24:05,640 Speaker 9: card is going to be policy. 452 00:24:05,680 --> 00:24:05,880 Speaker 1: Though. 453 00:24:06,040 --> 00:24:08,639 Speaker 9: There's a decent amount of stimulus from all of the 454 00:24:08,640 --> 00:24:10,760 Speaker 9: good things that happened over the course of this year 455 00:24:11,240 --> 00:24:13,000 Speaker 9: that are going to come home to roos next year, 456 00:24:13,040 --> 00:24:16,240 Speaker 9: and so it could actually be an upside surprise. We 457 00:24:16,320 --> 00:24:18,879 Speaker 9: just haven't seen a lot of that flow through yet. 458 00:24:18,920 --> 00:24:21,240 Speaker 9: So I think it's going to be another solid year. 459 00:24:21,280 --> 00:24:22,320 Speaker 9: We'll call it good enough. 460 00:24:23,200 --> 00:24:26,040 Speaker 4: It's a freeing of the show. Call it mid November 461 00:24:26,119 --> 00:24:28,760 Speaker 4: to now. Is everybody's saying we're going to get a 462 00:24:28,800 --> 00:24:29,720 Speaker 4: policy pop? 463 00:24:29,920 --> 00:24:32,560 Speaker 5: Yeah, we'll one being a beautiful bill. We'll see how 464 00:24:32,600 --> 00:24:33,880 Speaker 5: it ripples through the economy. 465 00:24:34,119 --> 00:24:34,520 Speaker 8: Amanda. 466 00:24:34,600 --> 00:24:37,320 Speaker 5: In the bond market, boy, twenty twenty five yet solid 467 00:24:37,440 --> 00:24:41,640 Speaker 5: high single digit returns in the bond market here, How 468 00:24:41,640 --> 00:24:43,399 Speaker 5: do you think about twenty twenty six? Because I can 469 00:24:43,440 --> 00:24:46,240 Speaker 5: sit here to two year treasury and clip three point 470 00:24:46,280 --> 00:24:49,040 Speaker 5: six percent coupons, do I need to take credit risk 471 00:24:49,080 --> 00:24:49,560 Speaker 5: on top of. 472 00:24:49,480 --> 00:24:54,160 Speaker 9: That well, if the backdrop continues to hold up as 473 00:24:54,200 --> 00:24:56,320 Speaker 9: it has been, and again we think next year is 474 00:24:56,320 --> 00:24:57,880 Speaker 9: going to be a good enough kind of a year. 475 00:24:58,200 --> 00:25:00,360 Speaker 9: I do think that there is an opportunity to take 476 00:25:00,400 --> 00:25:03,320 Speaker 9: on some additional credit risk. The challenge has been for 477 00:25:03,359 --> 00:25:05,760 Speaker 9: the last few years that spreads have been so tight, 478 00:25:06,240 --> 00:25:09,840 Speaker 9: AKA evaluations have been pretty high, and so there's not 479 00:25:10,000 --> 00:25:12,320 Speaker 9: a lot of room there. With spreads as tight as 480 00:25:12,359 --> 00:25:14,240 Speaker 9: they are and as well behaved as they are, that's 481 00:25:14,280 --> 00:25:16,520 Speaker 9: the good news that we don't see a big default 482 00:25:16,560 --> 00:25:19,040 Speaker 9: cycle kind of kicking off here. But I think there's 483 00:25:19,119 --> 00:25:21,159 Speaker 9: room for investors to take on some credit risk in 484 00:25:21,200 --> 00:25:21,720 Speaker 9: twenty six. 485 00:25:21,880 --> 00:25:23,879 Speaker 2: Can I go nerd as we close this up, Amanda, 486 00:25:23,920 --> 00:25:26,240 Speaker 2: I'm looking at the employment cost indecks SI, thank you 487 00:25:26,320 --> 00:25:29,800 Speaker 2: so much. Side leans on the employment cost indecks. It's 488 00:25:29,840 --> 00:25:32,920 Speaker 2: wages and benefits sort of summed it together. Year over 489 00:25:33,000 --> 00:25:37,840 Speaker 2: year we had a buoyant five percent ECI really big, big, 490 00:25:37,880 --> 00:25:41,080 Speaker 2: big wage and benefit growth. And come on, Amanda, we 491 00:25:41,119 --> 00:25:43,800 Speaker 2: come halfway back now to year over year three and 492 00:25:43,840 --> 00:25:44,520 Speaker 2: a half percent. 493 00:25:44,960 --> 00:25:48,480 Speaker 4: Is a surprise for next year a negative real wage? 494 00:25:49,800 --> 00:25:52,600 Speaker 9: Oh my goodness. I hope that's not the case, because 495 00:25:52,600 --> 00:25:56,200 Speaker 9: that's going to spell trouble, certainly for the labor market 496 00:25:56,320 --> 00:25:59,600 Speaker 9: and the consumer. I mean, you have to wonder how 497 00:25:59,680 --> 00:26:02,040 Speaker 9: you can pep up this pace, right at some point 498 00:26:02,200 --> 00:26:04,880 Speaker 9: it has to kind of moderate, but a negative real 499 00:26:04,880 --> 00:26:07,440 Speaker 9: wage is not going to be great for consumer spending 500 00:26:07,520 --> 00:26:10,440 Speaker 9: and consumer growth. Consumer's been hanging in there, but it's 501 00:26:10,480 --> 00:26:13,320 Speaker 9: really because of what you just said, wages benefits. The 502 00:26:13,359 --> 00:26:16,320 Speaker 9: labor market's been hanging in. Okay, to the extent that 503 00:26:16,359 --> 00:26:18,800 Speaker 9: we start to see that reverse, I think that could be, 504 00:26:19,160 --> 00:26:21,880 Speaker 9: you know, a wildcard to the downside for next year. 505 00:26:21,960 --> 00:26:24,600 Speaker 9: That's not in our MACE case, but certainly something to watch. 506 00:26:24,640 --> 00:26:26,840 Speaker 2: Amana, Thank you so much, Amanda Gotti with his chief 507 00:26:26,880 --> 00:26:29,560 Speaker 2: investment officer Assets A PMC bank. 508 00:26:29,640 --> 00:26:31,600 Speaker 4: Really appreciate it. Stay with us. 509 00:26:31,840 --> 00:26:42,120 Speaker 2: More from Bloomberg Surveillance coming up after this. 510 00:26:42,119 --> 00:26:46,040 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 511 00:26:46,080 --> 00:26:49,120 Speaker 1: starting at seven am Eastern on Apple Cocklay and Android 512 00:26:49,119 --> 00:26:52,159 Speaker 1: Auto with the Bloomberg Business app. You can also listen 513 00:26:52,240 --> 00:26:55,520 Speaker 1: live on Amazon Alexa from our flagship New York station. 514 00:26:56,040 --> 00:26:58,680 Speaker 1: Just say Alexa, play Bloomberg eleven thirty. 515 00:26:59,080 --> 00:26:59,920 Speaker 4: Yeah the newspaper. 516 00:27:01,480 --> 00:27:03,480 Speaker 6: Okay, do you like when you go into a bar, 517 00:27:03,600 --> 00:27:05,600 Speaker 6: they know your name, they have their drink, your drinks 518 00:27:05,640 --> 00:27:07,760 Speaker 6: that laid out for you. Does that make you happy? 519 00:27:07,840 --> 00:27:08,399 Speaker 6: Make you want to go? 520 00:27:08,520 --> 00:27:08,680 Speaker 4: Long? 521 00:27:10,520 --> 00:27:13,639 Speaker 5: Walk into the squand tavern marks got my Tito's and 522 00:27:13,640 --> 00:27:14,159 Speaker 5: you love that? 523 00:27:14,200 --> 00:27:14,440 Speaker 2: Sure? 524 00:27:14,520 --> 00:27:14,760 Speaker 5: See? 525 00:27:14,800 --> 00:27:19,439 Speaker 6: Okay, so this is happening more and more at airport lounges. No, yes, 526 00:27:19,520 --> 00:27:21,639 Speaker 6: because a lot more people are starting to travel a 527 00:27:21,680 --> 00:27:24,800 Speaker 6: little bit more, and so the airport lounges are becoming 528 00:27:25,160 --> 00:27:26,879 Speaker 6: a little bit more crowded. So the Wall Street Journal 529 00:27:26,920 --> 00:27:31,320 Speaker 6: actually shadowed this one bartender at the Delta Club at 530 00:27:31,320 --> 00:27:34,280 Speaker 6: Hartsfield Jackson Airport. It's like this five hundred you know 531 00:27:34,359 --> 00:27:37,800 Speaker 6: person lounge. Delta is you know, one of Delsa's largest, big, 532 00:27:37,800 --> 00:27:38,520 Speaker 6: big airport. 533 00:27:38,800 --> 00:27:39,720 Speaker 7: So she knows the. 534 00:27:39,640 --> 00:27:42,440 Speaker 6: Flyers by name, like they come in and she gives 535 00:27:42,480 --> 00:27:44,840 Speaker 6: them fly to talk about that families. Yes, so people 536 00:27:44,880 --> 00:27:47,880 Speaker 6: are traveling a little bit more. One guy left her 537 00:27:47,920 --> 00:27:50,159 Speaker 6: like a thousand dollars tip on his lemonade as a 538 00:27:50,200 --> 00:27:51,840 Speaker 6: holiday gift. You know, he paid for it with his 539 00:27:51,880 --> 00:27:56,520 Speaker 6: Delta miles. Background on the bartenders, which I know they 540 00:27:56,520 --> 00:27:58,800 Speaker 6: actually they don't work for Dena Delta, so it's like 541 00:27:58,840 --> 00:28:01,000 Speaker 6: an outside company that I'll breaks a sky club. So 542 00:28:01,000 --> 00:28:03,480 Speaker 6: they make about eight dollars an hour plus tips, and 543 00:28:03,520 --> 00:28:06,159 Speaker 6: then they're pulled and shared with the bar back and 544 00:28:06,200 --> 00:28:09,639 Speaker 6: they don't get the flight benefits. But people love coming 545 00:28:09,760 --> 00:28:11,960 Speaker 6: and seeing that familiar face as you go. 546 00:28:11,920 --> 00:28:14,600 Speaker 5: From some lounge guy for. 547 00:28:16,240 --> 00:28:19,399 Speaker 2: Really, one of the I'll leave his name out of it. 548 00:28:19,440 --> 00:28:22,919 Speaker 2: One of the major CEO said it's his single biggest headache. 549 00:28:23,560 --> 00:28:26,440 Speaker 2: It's a single to me, it's a busted concept. 550 00:28:26,480 --> 00:28:29,119 Speaker 5: Well so all the it seems like the airport renovations 551 00:28:29,160 --> 00:28:33,000 Speaker 5: now have really good restaurants and bars there in the terminal, 552 00:28:33,040 --> 00:28:34,679 Speaker 5: like you don't need to go, where as when I 553 00:28:34,680 --> 00:28:36,639 Speaker 5: fight International, I'm all in on the lounge. 554 00:28:36,720 --> 00:28:38,960 Speaker 4: But now aren't the drinks free in the list? Yes, 555 00:28:39,040 --> 00:28:44,480 Speaker 4: that's it's some Yeah, he throwed. British Air has one 556 00:28:44,520 --> 00:28:47,200 Speaker 4: at each end and one's a disaster and one's okay, 557 00:28:47,560 --> 00:28:48,160 Speaker 4: it's strange. 558 00:28:48,240 --> 00:28:50,640 Speaker 6: I haven't been I next. Okay, do you I think 559 00:28:50,680 --> 00:28:52,920 Speaker 6: we've had this conversation? Do you use instacart like to 560 00:28:52,960 --> 00:28:54,360 Speaker 6: do the shopping food shopping? 561 00:28:54,400 --> 00:28:58,120 Speaker 4: Addicted? We don't use insta cart, but yes, okay changed. 562 00:28:59,600 --> 00:29:01,040 Speaker 8: Specific fike Instacart. 563 00:29:01,280 --> 00:29:03,640 Speaker 6: There is a new study that shows that it's charging 564 00:29:03,680 --> 00:29:07,880 Speaker 6: different prices to different customers at the same grocery items 565 00:29:07,920 --> 00:29:10,360 Speaker 6: in the same store. It's a New York Post has 566 00:29:10,360 --> 00:29:13,440 Speaker 6: this as a study by Groundwork Collaborative Consumer Reports. They 567 00:29:13,480 --> 00:29:15,840 Speaker 6: serveted like over four hundred shoppers, you know, they were 568 00:29:15,920 --> 00:29:18,560 Speaker 6: ordering groceries in the app for in store pickup, and 569 00:29:18,600 --> 00:29:21,520 Speaker 6: nearly three quarters of grocery items surveys were sold at 570 00:29:21,560 --> 00:29:24,560 Speaker 6: different price points. And so they asked them, how much 571 00:29:24,560 --> 00:29:27,760 Speaker 6: do you think consumers are overpaying each year? And this 572 00:29:27,840 --> 00:29:30,640 Speaker 6: company said an extra twelve hundred dollars on groceries. They're 573 00:29:30,640 --> 00:29:33,800 Speaker 6: probably spending because of this algorithm that that has it 574 00:29:33,880 --> 00:29:34,920 Speaker 6: picking different prices. 575 00:29:35,000 --> 00:29:36,080 Speaker 5: It's not seen right I go. 576 00:29:36,040 --> 00:29:36,560 Speaker 9: To the store. 577 00:29:36,920 --> 00:29:39,040 Speaker 4: Yeah, me too. You still go to the store too? 578 00:29:39,240 --> 00:29:39,760 Speaker 4: Like going to that? 579 00:29:39,880 --> 00:29:40,080 Speaker 2: I do? 580 00:29:40,280 --> 00:29:42,680 Speaker 5: I do the shop right. In Belmark, we like going there. 581 00:29:42,800 --> 00:29:43,440 Speaker 4: It's like an event. 582 00:29:43,560 --> 00:29:44,120 Speaker 5: It's an event. 583 00:29:44,240 --> 00:29:47,840 Speaker 4: It's something to do. People are nice. Storaget lives. Does 584 00:29:48,160 --> 00:29:51,200 Speaker 4: everyone worldwide know how? Sorry exactly? 585 00:29:51,240 --> 00:29:53,920 Speaker 6: But when the music in the supermarket starts making you happy? 586 00:29:54,040 --> 00:29:56,320 Speaker 4: Yes, you know. Your Friday nights are shot. Do you 587 00:29:57,360 --> 00:30:01,760 Speaker 4: wear your ugly sweater to Costco when you go Christmas? Oh? 588 00:30:01,920 --> 00:30:06,400 Speaker 6: No, no, no, no, not at all I do. Okay, 589 00:30:06,400 --> 00:30:07,800 Speaker 6: So this is a new term for you to be 590 00:30:07,840 --> 00:30:10,280 Speaker 6: aware of. Okay, for the young folks, there's a new 591 00:30:10,280 --> 00:30:13,080 Speaker 6: phrase by gen Z that they say is killing the 592 00:30:13,160 --> 00:30:17,240 Speaker 6: dating scene. Okay, It's called swag gap. It's when you 593 00:30:17,280 --> 00:30:19,280 Speaker 6: show up at a bar like you're dressed for the 594 00:30:19,400 --> 00:30:22,000 Speaker 6: vibe and then your date shows up in like hoodie 595 00:30:22,080 --> 00:30:25,200 Speaker 6: and old sneakers. And they're saying, you know, because swaggy 596 00:30:25,240 --> 00:30:27,360 Speaker 6: means like you have confidence, and so the gap is 597 00:30:27,400 --> 00:30:29,160 Speaker 6: when you look at one person you look at the 598 00:30:29,200 --> 00:30:31,360 Speaker 6: other and it's kind of not working. So the Wall 599 00:30:31,360 --> 00:30:33,560 Speaker 6: Street jonal says, you know what, It's happening more and more, 600 00:30:33,600 --> 00:30:35,280 Speaker 6: and the younger generation is getting tired. 601 00:30:35,920 --> 00:30:37,320 Speaker 4: I just saw a video this front. 602 00:30:37,360 --> 00:30:40,600 Speaker 2: She's they did this fabulous YouTube thing of restaurants and 603 00:30:40,640 --> 00:30:44,240 Speaker 2: stuff in Paris, and the guy in the front she's Antoine. 604 00:30:44,520 --> 00:30:48,160 Speaker 2: So the gap has never been wider between the way 605 00:30:48,240 --> 00:30:51,560 Speaker 2: the French dress and the Americans in their sweatpants. 606 00:30:51,280 --> 00:30:55,240 Speaker 4: A cultural Yeah, yeah, it's never been wider. 607 00:30:55,840 --> 00:30:57,880 Speaker 5: When we went to say Italy, my friend says, you 608 00:30:58,000 --> 00:30:59,720 Speaker 5: can't bring shorts to Italy. 609 00:31:00,080 --> 00:31:02,760 Speaker 4: You can't wear shorts care somebody. You can't get in 610 00:31:02,760 --> 00:31:03,240 Speaker 4: with shorts. 611 00:31:03,320 --> 00:31:05,440 Speaker 5: Yeah, I mean we're just sight seeing. We're in a 612 00:31:05,480 --> 00:31:06,920 Speaker 5: summer nopee. 613 00:31:07,160 --> 00:31:09,360 Speaker 4: Lisa wan Tayo, the newspapers, thank you so much. 614 00:31:10,440 --> 00:31:15,280 Speaker 1: This is the Bloomberg Surveillance Podcast, available on Apple, Spotify, 615 00:31:15,400 --> 00:31:19,680 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 616 00:31:19,800 --> 00:31:23,280 Speaker 1: seven to ten am Eastern on Bloomberg dot com, the 617 00:31:23,360 --> 00:31:27,400 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 618 00:31:27,440 --> 00:31:30,800 Speaker 1: can also watch us live every weekday on YouTube and 619 00:31:31,000 --> 00:31:32,720 Speaker 1: always on the Bloomberg terminal