1 00:00:00,080 --> 00:00:02,640 Speaker 1: A gentleman from Michigan we're thrilled to have with us 2 00:00:02,640 --> 00:00:05,600 Speaker 1: this morning for this entire half our Michael Wilson. He 3 00:00:05,640 --> 00:00:10,000 Speaker 1: is at Morgan Stanley, coach, Effequity Strategies CIO, and among 4 00:00:10,080 --> 00:00:14,680 Speaker 1: other things, author and driving force behind really smart thirty 5 00:00:14,720 --> 00:00:20,280 Speaker 1: six page research pieces on what matters at the moment. 6 00:00:20,360 --> 00:00:23,439 Speaker 1: Mike Wilson, Good morning you people have done a tour 7 00:00:23,520 --> 00:00:25,480 Speaker 1: to force on AI. 8 00:00:25,840 --> 00:00:26,960 Speaker 2: And on what's to come. 9 00:00:27,040 --> 00:00:30,639 Speaker 1: Does Mike Wilson believe in the stock market and believe 10 00:00:30,760 --> 00:00:31,360 Speaker 1: in AI? 11 00:00:33,360 --> 00:00:36,519 Speaker 2: Well, good morning, Tom, Yeah, thanks for having me. We 12 00:00:36,600 --> 00:00:37,440 Speaker 2: do believe in AI. 13 00:00:37,520 --> 00:00:41,840 Speaker 3: We've then probably more front footed on this theme as 14 00:00:41,880 --> 00:00:44,320 Speaker 3: a firm over the last year, year and a half. 15 00:00:44,520 --> 00:00:47,080 Speaker 3: And the way I would characterize it is is that 16 00:00:47,680 --> 00:00:51,640 Speaker 3: this is the next big probably the next big productivity driver, 17 00:00:52,520 --> 00:00:55,480 Speaker 3: but it's not going to happen immediately, and we're seeing 18 00:00:55,520 --> 00:00:59,520 Speaker 3: that manifest itself in the stock market right so so far, 19 00:01:00,840 --> 00:01:03,480 Speaker 3: what's really worked from AI has been what we call 20 00:01:03,520 --> 00:01:06,880 Speaker 3: the enablers, the companies that are allowing this. 21 00:01:06,760 --> 00:01:09,200 Speaker 2: New platform to be developed and built out. 22 00:01:09,240 --> 00:01:12,760 Speaker 3: And we've seen obviously some of the stocks go somewhat 23 00:01:12,880 --> 00:01:17,240 Speaker 3: stratospheric and the real opportunity though, is going to be 24 00:01:17,480 --> 00:01:22,440 Speaker 3: when this technology diffuses across the economy, and that would 25 00:01:22,480 --> 00:01:25,319 Speaker 3: be the adopters, and that's very very early days. 26 00:01:25,360 --> 00:01:25,480 Speaker 2: Now. 27 00:01:25,520 --> 00:01:28,640 Speaker 3: There's been some winners in that already, but boy, it's 28 00:01:29,000 --> 00:01:32,039 Speaker 3: it's kind of hard to find them so far. The 29 00:01:32,120 --> 00:01:35,039 Speaker 3: other theme that we've been really espousing for the last 30 00:01:35,120 --> 00:01:36,759 Speaker 3: year and a half when we were early on this 31 00:01:37,080 --> 00:01:41,280 Speaker 3: is this idea of operational efficiency. In fact, many companies 32 00:01:42,280 --> 00:01:45,560 Speaker 3: adopted that phrase for their own taking because that's what 33 00:01:45,600 --> 00:01:47,560 Speaker 3: they needed to do over the last year. As you know, 34 00:01:47,640 --> 00:01:51,520 Speaker 3: it's been a very unbalanced economy where you have a 35 00:01:51,640 --> 00:01:55,440 Speaker 3: very heavy handed government influence which is kind of keeping 36 00:01:55,480 --> 00:01:58,760 Speaker 3: the aggregate statistics strong, and then you have companies that 37 00:01:58,800 --> 00:02:02,440 Speaker 3: have unique growth opportunities. But then the sort of average 38 00:02:02,480 --> 00:02:07,640 Speaker 3: company is really struggling still with cost inflation, you labor tightness, 39 00:02:08,120 --> 00:02:10,720 Speaker 3: cost of capital, et cetera. And so efficiency is one 40 00:02:10,720 --> 00:02:13,000 Speaker 3: way to get around that, right, keeping your cost down. 41 00:02:13,240 --> 00:02:16,200 Speaker 1: And having it mar and I'll dovetail it to Allen 42 00:02:16,280 --> 00:02:18,800 Speaker 1: Zenner's new productivity. And we're hearing a lot about that 43 00:02:19,280 --> 00:02:21,440 Speaker 1: on the show. Micha Wilson, I'm not going to mince words. 44 00:02:21,480 --> 00:02:24,280 Speaker 1: You've been to Pinata for people that are like I 45 00:02:24,360 --> 00:02:27,240 Speaker 1: want to participate in the market, but I just don't 46 00:02:27,240 --> 00:02:30,639 Speaker 1: get the exuberance out there. What's the Wilson meter look 47 00:02:30,800 --> 00:02:33,959 Speaker 1: like right now? On market exuberance? It don't narrow it 48 00:02:34,040 --> 00:02:39,680 Speaker 1: down to the silliness of Nvidia, but how effervescent, how exuberant? 49 00:02:40,000 --> 00:02:41,919 Speaker 1: Is a market I want to be in, but I'm 50 00:02:41,960 --> 00:02:42,760 Speaker 1: scared stiff? 51 00:02:44,240 --> 00:02:46,120 Speaker 3: Yeah, I mean, look, there's there's been some some big 52 00:02:46,160 --> 00:02:48,560 Speaker 3: winners and some big loss It's been a stock picking 53 00:02:48,639 --> 00:02:51,600 Speaker 3: environment quite frankly really for the last year, year and 54 00:02:51,639 --> 00:02:54,680 Speaker 3: a half. And look, we had that major low that 55 00:02:54,840 --> 00:02:58,400 Speaker 3: was made in October twenty two one that we identified 56 00:02:58,400 --> 00:02:59,600 Speaker 3: as a good opportunity, the. 57 00:02:59,560 --> 00:03:03,119 Speaker 2: One ast fall we felt was close but didn't quite 58 00:03:03,120 --> 00:03:05,040 Speaker 2: get there. But of course we had a huge rally. 59 00:03:05,040 --> 00:03:07,120 Speaker 3: And what's happened Tom and I think this is a 60 00:03:07,160 --> 00:03:10,800 Speaker 3: differentiating feature of our view versus others is we view 61 00:03:10,919 --> 00:03:14,320 Speaker 3: the last four to five month rally as being driven 62 00:03:14,400 --> 00:03:20,400 Speaker 3: more by very loose financial conditions, extreme liquidity, which is 63 00:03:20,440 --> 00:03:22,560 Speaker 3: finding its way into the right parts of the market, 64 00:03:22,600 --> 00:03:24,000 Speaker 3: and that and the parts of the market that are 65 00:03:24,040 --> 00:03:27,120 Speaker 3: working are what we call high quality growth stocks, and 66 00:03:27,120 --> 00:03:28,680 Speaker 3: some of those you've mentioned and some of those are. 67 00:03:28,760 --> 00:03:31,120 Speaker 3: But it's also it's not just tech stocks, some of 68 00:03:31,160 --> 00:03:33,960 Speaker 3: the industrial space which are benefiting from some of those 69 00:03:34,000 --> 00:03:37,520 Speaker 3: heavy handed government programs, for example, some of the consumer 70 00:03:37,560 --> 00:03:41,600 Speaker 3: spaces having a bounce back at consumer services. And then 71 00:03:41,640 --> 00:03:45,560 Speaker 3: of course these companies that are being efficient, and that's 72 00:03:45,600 --> 00:03:47,840 Speaker 3: really what's been working. And it's been so in other words, 73 00:03:47,880 --> 00:03:50,680 Speaker 3: the market's been very good at identifying the winners. 74 00:03:50,840 --> 00:03:52,760 Speaker 2: It's also been very good at identifying the loser. 75 00:03:53,080 --> 00:03:55,240 Speaker 4: Well, Mike, I mean you mentioned efficiency, and you mentioned 76 00:03:55,280 --> 00:03:57,240 Speaker 4: operational efficiency, and for me, I need you to drill 77 00:03:57,280 --> 00:03:59,080 Speaker 4: down a little bit more. You know what you know, 78 00:03:59,120 --> 00:04:01,960 Speaker 4: what indicators you looking for? It we strictly talking operating 79 00:04:02,000 --> 00:04:04,000 Speaker 4: margins here. I mean, how do you evaluate you know, 80 00:04:04,040 --> 00:04:07,080 Speaker 4: those sectors you're referring to, like which sectors are prime 81 00:04:07,200 --> 00:04:10,120 Speaker 4: to perform well, given you know that focus on high 82 00:04:10,200 --> 00:04:13,520 Speaker 4: quality growth, on operational efficiency, on the narrowing of that 83 00:04:13,680 --> 00:04:15,800 Speaker 4: big divide between the haves and have nots. 84 00:04:16,800 --> 00:04:20,040 Speaker 3: Yeah, it's not really it's not really by sector, damn, 85 00:04:20,120 --> 00:04:23,560 Speaker 3: it's more by company. It's really company specific and we 86 00:04:23,720 --> 00:04:27,440 Speaker 3: and we've talked about that, meaning within sectors, there are 87 00:04:27,720 --> 00:04:30,800 Speaker 3: companies that are being more efficient than they're say, they're competitors, 88 00:04:30,920 --> 00:04:33,240 Speaker 3: and we're seeing it, so that once again it is 89 00:04:33,279 --> 00:04:35,880 Speaker 3: as you say, the haves and have nots. So I 90 00:04:35,880 --> 00:04:38,120 Speaker 3: don't think I don't think it's a sector call. It's 91 00:04:38,160 --> 00:04:41,640 Speaker 3: a company call. It's a very stock specific call. So 92 00:04:41,680 --> 00:04:44,520 Speaker 3: that's that's actually a really good environment for active managers 93 00:04:44,800 --> 00:04:45,960 Speaker 3: who can take advantage of that. 94 00:04:46,120 --> 00:04:49,080 Speaker 2: So we're seeing we're seeing it across multiple industries. It's 95 00:04:49,080 --> 00:04:49,840 Speaker 2: not just one or two. 96 00:04:50,000 --> 00:04:52,359 Speaker 4: So the MIC is the key identifying those companies that 97 00:04:52,400 --> 00:04:55,720 Speaker 4: are going to improve their operational efficiency or selecting those 98 00:04:55,720 --> 00:04:58,760 Speaker 4: companies that have an advantage over their peers. 99 00:04:59,200 --> 00:05:01,159 Speaker 3: It's both and and one of those advantages is just 100 00:05:01,160 --> 00:05:05,359 Speaker 3: sheer size, having scale, having the ability to kind of 101 00:05:05,360 --> 00:05:08,960 Speaker 3: manage your cost structure, being efficient with your labor and hiring, 102 00:05:09,880 --> 00:05:13,880 Speaker 3: and that's a pure scale argument. Then of course, there 103 00:05:13,880 --> 00:05:17,880 Speaker 3: are companies who are using various technologies, not just AI 104 00:05:18,440 --> 00:05:20,599 Speaker 3: to make their existing businesses more efficient. 105 00:05:20,640 --> 00:05:23,320 Speaker 2: There are some you know, what we've discovered is within AI. 106 00:05:23,560 --> 00:05:26,520 Speaker 3: Irightly, the companies that are actually being the most efficient 107 00:05:26,560 --> 00:05:28,680 Speaker 3: are tech companies. They're the ones who are actually able 108 00:05:28,720 --> 00:05:32,520 Speaker 3: to reduce labor and headcamp, particularly encoding. That's one area 109 00:05:32,560 --> 00:05:35,880 Speaker 3: where it's been extremely efficient, back office, et cetera. So 110 00:05:35,960 --> 00:05:39,960 Speaker 3: in many ways, AI is helping to keep the labor 111 00:05:40,000 --> 00:05:41,080 Speaker 3: market a little bit soft. 112 00:05:41,160 --> 00:05:44,560 Speaker 4: Well, let's talk about your note from yesterday. Multiple expansion 113 00:05:44,800 --> 00:05:47,560 Speaker 4: kind of accounting for most of the move we've seen 114 00:05:47,560 --> 00:05:50,840 Speaker 4: here inequities. But then you excite your colleague Andrew Sheets, 115 00:05:50,839 --> 00:05:52,159 Speaker 4: and this is where what I love. I want to 116 00:05:52,160 --> 00:05:53,760 Speaker 4: talk about M and A volumes. I want to talk 117 00:05:53,760 --> 00:05:56,839 Speaker 4: about thirty five billion of IG issueans expected this week 118 00:05:56,880 --> 00:05:59,479 Speaker 4: after three weeks straight of fifty billion. Talk to us 119 00:05:59,480 --> 00:06:04,880 Speaker 4: about which sectors are witnessing M and A activity and why. 120 00:06:04,960 --> 00:06:07,560 Speaker 2: Yeah, I mean, the conditions are there for M and A. 121 00:06:07,640 --> 00:06:10,080 Speaker 3: I would say the headwinds are that the cost of 122 00:06:10,120 --> 00:06:12,640 Speaker 3: capital is still pretty high. We haven't seen any rate 123 00:06:12,680 --> 00:06:15,200 Speaker 3: cuts yet. And then even though we're seeing issue ements 124 00:06:15,560 --> 00:06:17,960 Speaker 3: at the IG level, that's that's pretty robust. A lot 125 00:06:17,960 --> 00:06:21,680 Speaker 3: of that's for refinancing and also for you know, for 126 00:06:21,800 --> 00:06:24,520 Speaker 3: existing deals that are in the market. The other constraint, 127 00:06:24,520 --> 00:06:26,919 Speaker 3: of course, is that we just had a big increase 128 00:06:26,960 --> 00:06:27,719 Speaker 3: in valuations. 129 00:06:28,160 --> 00:06:29,480 Speaker 2: I would say, you know. 130 00:06:29,480 --> 00:06:31,800 Speaker 3: Last fall was getting closer to a point where the 131 00:06:31,800 --> 00:06:34,520 Speaker 3: buyers and sellers we're getting to a point where maybe 132 00:06:34,520 --> 00:06:37,920 Speaker 3: the price was right, and now, of course those prices 133 00:06:37,960 --> 00:06:40,640 Speaker 3: have elevated again, and we have stars in the eyes 134 00:06:40,640 --> 00:06:42,240 Speaker 3: of some of the sellers. So I think this is 135 00:06:42,279 --> 00:06:45,400 Speaker 3: going to be once again the story for twenty twenty 136 00:06:45,400 --> 00:06:48,880 Speaker 3: five twenty six, as we kind of settled into whatever 137 00:06:48,920 --> 00:06:51,320 Speaker 3: the you know, the new the new administration, where the 138 00:06:51,320 --> 00:06:54,520 Speaker 3: existing administration stays in power. I think those are also 139 00:06:54,560 --> 00:06:58,640 Speaker 3: wildcards for M and A. So the conditions are there. 140 00:06:59,040 --> 00:07:01,520 Speaker 3: We're not seeing a ton of activity right now. We're 141 00:07:01,560 --> 00:07:03,400 Speaker 3: hopeful that will pick up later this year and into 142 00:07:03,440 --> 00:07:04,360 Speaker 3: twenty twenty five. 143 00:07:04,440 --> 00:07:07,600 Speaker 4: So I just want to recap here. Valuations are relatively rich, 144 00:07:08,080 --> 00:07:11,840 Speaker 4: interest rates are relatively high, and yet volumes and activity 145 00:07:11,880 --> 00:07:13,800 Speaker 4: you're picking up. Go figure, I wonder what's going on 146 00:07:13,840 --> 00:07:15,360 Speaker 4: in the corporates week. But let's go back to a 147 00:07:15,360 --> 00:07:17,680 Speaker 4: little bit of what you mentioned before with operational efficiency. 148 00:07:17,800 --> 00:07:20,880 Speaker 4: So in this environment, you know, in an environment where yeah, okay, 149 00:07:20,960 --> 00:07:23,280 Speaker 4: you know, cost the capital is relatively high and valuations 150 00:07:23,280 --> 00:07:26,480 Speaker 4: are rich, what should companies be doing to improve their 151 00:07:26,480 --> 00:07:28,440 Speaker 4: operating and their profit margins here? 152 00:07:29,920 --> 00:07:32,200 Speaker 3: Well, obviously, if you have some top line, that solves 153 00:07:32,200 --> 00:07:33,600 Speaker 3: a lot of problems. So I think a lot of 154 00:07:33,680 --> 00:07:35,160 Speaker 3: you know, companies are trying to figure out what the 155 00:07:35,240 --> 00:07:37,560 Speaker 3: next product cycle is. You know, how can they be 156 00:07:37,640 --> 00:07:41,120 Speaker 3: different than their than their competitors and drive top line growth. 157 00:07:41,160 --> 00:07:43,520 Speaker 2: I mean, that solves all of your That solves many 158 00:07:43,520 --> 00:07:45,760 Speaker 2: of your problems. Look, I think what corporate. 159 00:07:45,520 --> 00:07:47,760 Speaker 3: America is very good at, it has been very good 160 00:07:47,760 --> 00:07:51,600 Speaker 3: effort for decades is cost cutting. Okay, we're world class 161 00:07:51,720 --> 00:07:54,200 Speaker 3: in cost cutting. And I think they've done that. I 162 00:07:54,240 --> 00:07:57,640 Speaker 3: mean most companies have cut costs. They have kind of 163 00:07:57,640 --> 00:07:59,960 Speaker 3: whittled things down to the bone. And what's interesting is 164 00:08:00,200 --> 00:08:02,560 Speaker 3: in the last six months, if you go back to 165 00:08:02,640 --> 00:08:04,720 Speaker 3: the fall of last year, right so October, and this 166 00:08:04,760 --> 00:08:08,440 Speaker 3: is something that doesn't get discussed. At the end of October, 167 00:08:08,480 --> 00:08:12,280 Speaker 3: it looked like we were sort of careening towards the wall, right, 168 00:08:12,320 --> 00:08:16,360 Speaker 3: I mean, the stocks were basically making new lows. Companies 169 00:08:16,360 --> 00:08:19,640 Speaker 3: were starting to talk about maybe a layoff cycle they 170 00:08:19,640 --> 00:08:20,880 Speaker 3: were going to have to do that. And then of 171 00:08:20,880 --> 00:08:23,840 Speaker 3: course came in this big short squeeze at the back 172 00:08:23,880 --> 00:08:24,880 Speaker 3: end of the treasury market. 173 00:08:24,960 --> 00:08:26,880 Speaker 2: And then the Fed aquiesced and said, hey, we may 174 00:08:26,880 --> 00:08:28,080 Speaker 2: be cutting race next year. 175 00:08:28,120 --> 00:08:31,160 Speaker 3: And that provided the hope that raids are going to 176 00:08:31,200 --> 00:08:33,800 Speaker 3: come down and so we bought time and what we're 177 00:08:33,840 --> 00:08:36,719 Speaker 3: seeing now is this big hockey. 178 00:08:36,320 --> 00:08:39,000 Speaker 2: Stick and expectations for the second half of this year. 179 00:08:39,120 --> 00:08:41,960 Speaker 3: Okay, there's a big If you talk to most companies 180 00:08:42,000 --> 00:08:44,600 Speaker 3: and listen to most companies, what they're saying, Yeah, first 181 00:08:44,640 --> 00:08:47,160 Speaker 3: quarter still things are kind of squishy maybe the first half, 182 00:08:47,200 --> 00:08:49,199 Speaker 3: but the second half things are going to really pick up. 183 00:08:49,600 --> 00:08:51,800 Speaker 3: And that may happen, but I'll say right now, if 184 00:08:51,840 --> 00:08:54,200 Speaker 3: it doesn't happen, then we're going to see more cost 185 00:08:54,240 --> 00:08:57,120 Speaker 3: cunning in the summer. And that's probably why, you know, 186 00:08:57,480 --> 00:09:00,000 Speaker 3: the risk of a hard landing is still not being exterminated. 187 00:09:00,400 --> 00:09:02,440 Speaker 3: You still have a thirty percent chance that there's going 188 00:09:02,480 --> 00:09:04,720 Speaker 3: to be a laugh cycle if business doesn't pick up 189 00:09:04,720 --> 00:09:05,400 Speaker 3: in the second. 190 00:09:05,160 --> 00:09:05,719 Speaker 2: Half of the year. 191 00:09:06,120 --> 00:09:08,280 Speaker 1: What I want to talk about now, folks, Damon helped 192 00:09:08,280 --> 00:09:12,760 Speaker 1: me out here, Mike Wilson, the Vogue Now and Margan Stanley. 193 00:09:12,800 --> 00:09:15,040 Speaker 1: I assume it's not doing this is the two x 194 00:09:15,120 --> 00:09:19,000 Speaker 1: Mike Wilson fun, the three X Mike Wilson fun, the 195 00:09:19,080 --> 00:09:24,120 Speaker 1: four x Mike Wilson fun. Mike Wilson on the benefit 196 00:09:24,480 --> 00:09:28,360 Speaker 1: but the tragedy of leverage. We're at that giddy season. 197 00:09:28,679 --> 00:09:30,680 Speaker 1: How does this work out. Mike Wilson, how does it 198 00:09:30,760 --> 00:09:31,679 Speaker 1: play out? 199 00:09:33,160 --> 00:09:35,040 Speaker 3: Well, I mean you're talking about the benefit of leverage 200 00:09:35,040 --> 00:09:36,439 Speaker 3: and investing or in the econ. 201 00:09:36,960 --> 00:09:40,440 Speaker 1: I would say in investing right now, we're seeing we're 202 00:09:40,440 --> 00:09:44,280 Speaker 1: inundated here at Bloomberg, surveillans every day with a two x, 203 00:09:44,320 --> 00:09:47,960 Speaker 1: this ETF the three x, even four x. All my 204 00:09:48,080 --> 00:09:48,719 Speaker 1: radars up. 205 00:09:48,720 --> 00:09:51,000 Speaker 2: Mike Wilson, Well, that's just. 206 00:09:50,920 --> 00:09:53,760 Speaker 3: The greed versus fear dynamic. I mean, I think you know, 207 00:09:53,800 --> 00:09:56,080 Speaker 3: obviously last fall we hit a lot of fear priced in, 208 00:09:56,160 --> 00:09:57,840 Speaker 3: and now we have a lot of greed priced in, 209 00:09:58,040 --> 00:10:01,760 Speaker 3: so we are seeing speculative of activity pick up in 210 00:10:01,800 --> 00:10:04,480 Speaker 3: a meaningful way. I would say the daily expiration options 211 00:10:04,520 --> 00:10:07,559 Speaker 3: market is probably your single best example of that. We 212 00:10:07,640 --> 00:10:09,440 Speaker 3: have a lot of people sort of you know in 213 00:10:09,520 --> 00:10:12,240 Speaker 3: the stock market is like prop bets almost like draft 214 00:10:12,240 --> 00:10:15,719 Speaker 3: gings and things like that. That that to me is 215 00:10:15,960 --> 00:10:18,760 Speaker 3: you know, signs that exuberances is pretty high. 216 00:10:18,840 --> 00:10:20,640 Speaker 2: Now that doesn't have to end in tiers. 217 00:10:20,960 --> 00:10:24,200 Speaker 3: Okay, leverage isn't always bad, but you know, we have 218 00:10:24,280 --> 00:10:28,240 Speaker 3: a situation where people are reaching for risk because you know, 219 00:10:28,280 --> 00:10:31,280 Speaker 3: there's full mil yeah, and you know that's that's where 220 00:10:31,280 --> 00:10:33,640 Speaker 3: the pendulum is right now, Tom and and that's why 221 00:10:33,679 --> 00:10:34,479 Speaker 3: we're probably. 222 00:10:34,200 --> 00:10:36,120 Speaker 2: A little bit more in some of our peers. 223 00:10:36,120 --> 00:10:37,840 Speaker 3: You know, I think a lot of folks all they've 224 00:10:37,840 --> 00:10:40,400 Speaker 3: done is raise their price targets based on higher multiples, 225 00:10:40,760 --> 00:10:43,040 Speaker 3: and we're not willing to do that because we don't 226 00:10:43,040 --> 00:10:43,760 Speaker 3: see the condition. 227 00:10:43,840 --> 00:10:46,199 Speaker 2: We don't see the justification for higher multiples. 228 00:10:46,600 --> 00:10:49,440 Speaker 3: Given that we have basically no earnings growth across the 229 00:10:49,440 --> 00:10:52,120 Speaker 3: broader economy, a situation is still kind of a difficult 230 00:10:52,160 --> 00:10:54,479 Speaker 3: operating environment, and so we're going to be very selective. 231 00:10:54,480 --> 00:10:56,280 Speaker 3: And that's why we think it's you know, you've got 232 00:10:56,280 --> 00:10:57,560 Speaker 3: to be you got to be a stock picker here. 233 00:10:57,600 --> 00:10:58,800 Speaker 2: You can't just buy the index. 234 00:10:58,960 --> 00:11:01,439 Speaker 4: Well, I mean, Michael, you're hitting right on the point here. 235 00:11:01,480 --> 00:11:03,520 Speaker 4: I mean, look, volatility has come off a bit here, 236 00:11:03,559 --> 00:11:05,520 Speaker 4: but it just doesn't feel that way, right, And I 237 00:11:05,520 --> 00:11:07,560 Speaker 4: think that goes down to the type of investor you are. 238 00:11:07,640 --> 00:11:08,800 Speaker 4: You know, I wonder if you could talk to our 239 00:11:08,800 --> 00:11:11,360 Speaker 4: audience a little bit about you know, those traders who 240 00:11:11,360 --> 00:11:13,240 Speaker 4: are in the market who look at volatility on a 241 00:11:13,320 --> 00:11:16,320 Speaker 4: day over day basis, right delta hedgers for example, Guys 242 00:11:16,320 --> 00:11:19,200 Speaker 4: who have to deal with real volatility, and those who 243 00:11:19,240 --> 00:11:21,720 Speaker 4: are more longer term. Let's call it carry investors. I'm 244 00:11:21,760 --> 00:11:23,600 Speaker 4: a fixed income guy, by the way. So they're looking 245 00:11:23,640 --> 00:11:25,679 Speaker 4: at volatility on a month over month basis, and from 246 00:11:25,679 --> 00:11:29,480 Speaker 4: that metric, vall looks, yes, relatively low. Right, So talk 247 00:11:29,480 --> 00:11:32,360 Speaker 4: to us a little bit about those divergent investments. I 248 00:11:32,360 --> 00:11:36,280 Speaker 4: guess theses, those those those those investors who have to 249 00:11:36,320 --> 00:11:39,040 Speaker 4: look at you know, option markets, involve and leverage and 250 00:11:39,080 --> 00:11:41,080 Speaker 4: assess it for what it is. It means different things 251 00:11:41,120 --> 00:11:41,760 Speaker 4: to different people. 252 00:11:43,080 --> 00:11:44,840 Speaker 3: Well, I think I characterize it maybe a little bit 253 00:11:44,840 --> 00:11:47,439 Speaker 3: differently and just say that index level ball is very low, 254 00:11:47,920 --> 00:11:49,960 Speaker 3: but single stock ball is still quite high. 255 00:11:50,120 --> 00:11:50,240 Speaker 1: Right. 256 00:11:50,240 --> 00:11:53,600 Speaker 3: We have a high dispersion within the equity market, right, 257 00:11:53,679 --> 00:11:57,679 Speaker 3: single stocks volatility, sector volatility, even rbs. 258 00:11:57,800 --> 00:11:59,880 Speaker 2: But then that the index level has been very compressed. 259 00:12:00,040 --> 00:12:00,920 Speaker 2: One of the factors. 260 00:12:00,960 --> 00:12:02,240 Speaker 3: One of the reasons for that is that there are 261 00:12:02,280 --> 00:12:04,800 Speaker 3: a lot of new products out there that are fall 262 00:12:05,040 --> 00:12:08,640 Speaker 3: selling strategies. Okay, And now, over time I would agree 263 00:12:08,679 --> 00:12:12,360 Speaker 3: that selling ball is always better than buying ball, Okay, 264 00:12:12,440 --> 00:12:15,079 Speaker 3: Like that's just a better strategy, and you know, these 265 00:12:15,120 --> 00:12:17,440 Speaker 3: products are kind of keying off of that. So there's 266 00:12:17,480 --> 00:12:20,280 Speaker 3: there's been a tremendous amount of downward pressure around volatility 267 00:12:20,640 --> 00:12:23,520 Speaker 3: because of these ball selling strategies, and I. 268 00:12:23,480 --> 00:12:25,360 Speaker 2: Think you know that's a bit of an illusion. 269 00:12:25,640 --> 00:12:28,600 Speaker 3: Okay, there is plenty, there's plenty of opportunity within the 270 00:12:28,679 --> 00:12:31,720 Speaker 3: market from a volatility standpoint, but once again, it's at 271 00:12:31,720 --> 00:12:34,080 Speaker 3: the single stock level, not the index level. 272 00:12:34,160 --> 00:12:36,160 Speaker 1: Mike Wilson generously view to be with us for and 273 00:12:36,200 --> 00:12:38,280 Speaker 1: a half hour, you will be out on single best 274 00:12:38,640 --> 00:12:40,160 Speaker 1: idea our new podcasts here. 275 00:12:40,200 --> 00:12:40,600 Speaker 2: We'll do that. 276 00:12:40,640 --> 00:12:45,240 Speaker 1: You'll see that later this afternoon in the digital mix 277 00:12:45,360 --> 00:12:50,120 Speaker 1: and processing here at Bloomberg Podcast. Mike Wilson is with 278 00:12:50,240 --> 00:12:51,040 Speaker 1: Morgan Stanley