1 00:00:01,800 --> 00:00:08,760 Speaker 1: The load up man, and you put the load and 2 00:00:08,840 --> 00:00:10,160 Speaker 1: run the loan right on. 3 00:00:17,600 --> 00:00:21,840 Speaker 2: Traditional market cap weighted indexes like the S and P 4 00:00:22,000 --> 00:00:25,960 Speaker 2: five hundred have really done a great job in dominating 5 00:00:26,000 --> 00:00:31,400 Speaker 2: investor inflows. But today there's concerns of cap weighting that 6 00:00:31,520 --> 00:00:35,960 Speaker 2: is leading into increased market concentration into just a handful 7 00:00:36,000 --> 00:00:40,960 Speaker 2: of stocks, especially the MAC seven, higher valuations, and increase 8 00:00:41,080 --> 00:00:46,360 Speaker 2: risks for investors. How should an index investor think about this? Well, 9 00:00:46,440 --> 00:00:48,159 Speaker 2: to help us unpack all of it and what it 10 00:00:48,200 --> 00:00:51,120 Speaker 2: means for your portfolio, let's bring in Rob or Not, 11 00:00:51,600 --> 00:00:55,800 Speaker 2: founder of Research Affiliates. The firm recently put out the 12 00:00:55,840 --> 00:01:01,760 Speaker 2: Research Affiliates Growth Index that's different from both cap weighted ETFs, 13 00:01:02,200 --> 00:01:06,520 Speaker 2: but also different from equal weight ETFs. So I'm fascinated 14 00:01:06,560 --> 00:01:09,600 Speaker 2: by this index which you guys put out. You're tracking 15 00:01:09,600 --> 00:01:13,840 Speaker 2: it live today. It's not yet investible, but I assume 16 00:01:13,880 --> 00:01:19,200 Speaker 2: there'll be an ETF out sooner rather than later. Define graphic, 17 00:01:19,319 --> 00:01:24,000 Speaker 2: Define the research affiliate's growth index, What are the weights 18 00:01:24,040 --> 00:01:27,520 Speaker 2: based on? How do you think about alternatives to cap 19 00:01:27,560 --> 00:01:28,320 Speaker 2: weighted growth. 20 00:01:29,440 --> 00:01:33,120 Speaker 1: Let's back up just a little bit and challenge one 21 00:01:33,160 --> 00:01:39,000 Speaker 1: of the basic principles of modern investing and modern finance, 22 00:01:39,560 --> 00:01:44,679 Speaker 1: the principle that there's this binary duality of growth and value. 23 00:01:44,840 --> 00:01:47,520 Speaker 1: If it's not value, it's growth. If it's not growth, 24 00:01:47,560 --> 00:01:54,040 Speaker 1: it's value. Pardon me, Those are not one dimension. Those 25 00:01:54,040 --> 00:01:57,760 Speaker 1: are two dimensions. You can have cheap and expensive, you 26 00:01:57,800 --> 00:02:02,600 Speaker 1: can have fast and slow growing, two different, completely different dimensions. 27 00:02:03,120 --> 00:02:08,200 Speaker 1: Our industry has had a fixation on this simple duality 28 00:02:09,760 --> 00:02:13,160 Speaker 1: where if it's cheap, its value, and if it's expensive 29 00:02:13,160 --> 00:02:19,240 Speaker 1: its growth. No, if it's expensive, it's expensive, it's much simpler. 30 00:02:20,919 --> 00:02:27,200 Speaker 1: If it's growth, it's growth. So, to my astonishment, looking back, 31 00:02:29,040 --> 00:02:33,360 Speaker 1: cap weighted indexing goes back to the fifties, as investible 32 00:02:33,400 --> 00:02:40,520 Speaker 1: portfolios to the seventies, and growth indexes to the late seventies, 33 00:02:40,520 --> 00:02:46,800 Speaker 1: and growth investible growth strategies to the nineteen eighties. Nobody 34 00:02:47,360 --> 00:02:50,040 Speaker 1: has posed the question, why don't we look at this 35 00:02:50,160 --> 00:02:56,080 Speaker 1: fundamentally instead of based on valuations. Nobody has asked the question, 36 00:02:56,440 --> 00:03:00,440 Speaker 1: why don't we create an index that chooses growth stocks 37 00:03:00,440 --> 00:03:04,560 Speaker 1: based on how fast they're growing, and weight's growth stocks 38 00:03:04,560 --> 00:03:08,480 Speaker 1: based on how big their dollar contribution to the growth 39 00:03:08,480 --> 00:03:12,920 Speaker 1: of the macroeconomy is. If you do that, if you 40 00:03:13,080 --> 00:03:17,600 Speaker 1: choose companies that are growing rapidly, and you weight them 41 00:03:17,600 --> 00:03:20,560 Speaker 1: on the dollar magnitude of that growth. You wind up 42 00:03:20,600 --> 00:03:24,040 Speaker 1: with an index that, over the last thirty years would 43 00:03:24,040 --> 00:03:27,480 Speaker 1: have outperformed Russell growth by four and a half percent 44 00:03:27,520 --> 00:03:29,960 Speaker 1: peranum going back almost thirty years. 45 00:03:30,120 --> 00:03:32,040 Speaker 2: Russell growth not Russell value. 46 00:03:32,080 --> 00:03:33,000 Speaker 1: So correct. 47 00:03:33,440 --> 00:03:37,760 Speaker 2: So if that's the case, what are we selecting on 48 00:03:38,160 --> 00:03:41,680 Speaker 2: It's not just cap weight. I'm assuming it's and I've 49 00:03:41,720 --> 00:03:45,360 Speaker 2: read some of the research. You're looking at increasing sales, 50 00:03:45,520 --> 00:03:51,320 Speaker 2: increasing profits, increasing R and D explain what goes in growth? 51 00:03:52,360 --> 00:03:55,400 Speaker 1: Well, there's an article coming out in the next issue 52 00:03:55,400 --> 00:03:57,800 Speaker 1: of the Financial Analyst Journal that takes a deep dive. 53 00:03:58,000 --> 00:04:01,080 Speaker 1: So anyone who's got access to the f AJ take 54 00:04:01,120 --> 00:04:03,920 Speaker 1: a look for the moment. You can also find it 55 00:04:03,960 --> 00:04:08,160 Speaker 1: on SSRN. Just look up are Not Fundamental Growth and 56 00:04:08,240 --> 00:04:14,320 Speaker 1: it'll take you right there. Anyway, if you wanted a 57 00:04:14,400 --> 00:04:17,880 Speaker 1: growth index that didn't anchor on expensive stocks but anchored 58 00:04:17,880 --> 00:04:23,880 Speaker 1: on fast growing companies, how would you instinctively choose to 59 00:04:23,920 --> 00:04:28,640 Speaker 1: measure that? Growth? Sales, profits? Those are the obvious choices, 60 00:04:29,520 --> 00:04:32,840 Speaker 1: slightly less obvious. Most growth companies have R and D 61 00:04:33,160 --> 00:04:36,320 Speaker 1: and it's a big enough part of their business that 62 00:04:36,520 --> 00:04:38,440 Speaker 1: they break it out as a separate item in their 63 00:04:38,440 --> 00:04:42,240 Speaker 1: P and L. So what about growth in P and L? 64 00:04:42,480 --> 00:04:45,279 Speaker 1: Excuse me, growth in R and D because if they're 65 00:04:45,320 --> 00:04:47,599 Speaker 1: shrinking their R and D budget, that's a bad sign. 66 00:04:48,279 --> 00:04:51,320 Speaker 1: And so if you have three different growth rates, growth 67 00:04:51,440 --> 00:04:55,400 Speaker 1: in sales, growth in profits, and growth in R and 68 00:04:55,480 --> 00:04:59,640 Speaker 1: D spending, if that's available two of the three, if 69 00:04:59,640 --> 00:05:03,640 Speaker 1: it's no, you average those growth rates, and you've got 70 00:05:03,640 --> 00:05:05,880 Speaker 1: a very good gauge of how fast the company's growing. 71 00:05:06,000 --> 00:05:09,440 Speaker 1: If it's growing rapidly enough to be in the top 72 00:05:09,520 --> 00:05:12,480 Speaker 1: twenty five percent, let's use it. Here's a fun factoid. 73 00:05:13,120 --> 00:05:15,919 Speaker 1: Two of the Magnificent seven don't make the cut for 74 00:05:15,960 --> 00:05:17,080 Speaker 1: the Raffi Growth Index. 75 00:05:17,640 --> 00:05:18,719 Speaker 2: H really, which two? 76 00:05:19,920 --> 00:05:20,560 Speaker 1: Take a guess? 77 00:05:24,520 --> 00:05:28,920 Speaker 2: So who's cutting way back on their R and D 78 00:05:29,080 --> 00:05:38,599 Speaker 2: and not seeing increases in revenue? Apple and Amazon. I'm 79 00:05:38,680 --> 00:05:39,279 Speaker 2: just spitballing. 80 00:05:39,320 --> 00:05:40,200 Speaker 1: You got one out of two. 81 00:05:40,480 --> 00:05:41,600 Speaker 2: So Apple is the first. 82 00:05:41,800 --> 00:05:47,040 Speaker 1: Amazon, Amazon and Microsoft both were growing incredibly fast into 83 00:05:47,040 --> 00:05:49,680 Speaker 1: the twenty tens and have been growing nicely in the 84 00:05:49,680 --> 00:05:52,480 Speaker 1: twenty twenties, but not fast enough to make the cut, 85 00:05:52,760 --> 00:05:56,360 Speaker 1: so they're left out of the Raffie Growth Index. The 86 00:05:56,440 --> 00:05:59,440 Speaker 1: index is on Bloomberg has been since last March, and 87 00:05:59,440 --> 00:06:04,080 Speaker 1: it's already thirteen percentage points in less than a year 88 00:06:04,480 --> 00:06:11,360 Speaker 1: ahead of Russell growth. So the idea works and it's exciting. 89 00:06:11,400 --> 00:06:15,160 Speaker 1: I wish I was on your show to announce that 90 00:06:15,360 --> 00:06:19,360 Speaker 1: it's an investible ETF for mutual fund. Not yet. 91 00:06:19,720 --> 00:06:22,400 Speaker 2: When it comes out, when it becomes investible, we'll have 92 00:06:22,480 --> 00:06:25,640 Speaker 2: you back. I want to ask you a question about 93 00:06:26,279 --> 00:06:31,359 Speaker 2: dollar magnitude as opposed to percentage magnitude of growth. This 94 00:06:31,560 --> 00:06:35,600 Speaker 2: is something that every metric I see is almost always 95 00:06:36,240 --> 00:06:41,600 Speaker 2: a percentage. You're looking at absolute dollars of growth. Explain 96 00:06:41,640 --> 00:06:45,120 Speaker 2: the thinking behind this. How does it manifest in performance? 97 00:06:45,120 --> 00:06:49,120 Speaker 1: How does it work? We select based on percentage growth. 98 00:06:49,320 --> 00:06:53,920 Speaker 1: You could have a huge company that has sales grow 99 00:06:54,040 --> 00:06:58,440 Speaker 1: by one hundred billion in a year and it's only 100 00:07:00,040 --> 00:07:04,400 Speaker 1: ten percent growth five percent growth, and if that's the case, 101 00:07:04,440 --> 00:07:08,159 Speaker 1: it's not a particularly growth company. So percentage growth is 102 00:07:08,240 --> 00:07:12,640 Speaker 1: used to choose the companies. Now, the two biggest stocks 103 00:07:12,680 --> 00:07:19,320 Speaker 1: in Raffie growth are in Nvidia and Apple. One has 104 00:07:19,400 --> 00:07:23,000 Speaker 1: had stupendous growth from a low base. One has had 105 00:07:23,120 --> 00:07:27,400 Speaker 1: good growth from a high base. Both have had percentage 106 00:07:27,440 --> 00:07:30,600 Speaker 1: growth fast enough to make the cut. They are both 107 00:07:30,760 --> 00:07:34,280 Speaker 1: a little over ten percent of our index. Now, think 108 00:07:34,320 --> 00:07:37,680 Speaker 1: what that means. If it's a ten percent weight, that 109 00:07:37,840 --> 00:07:43,920 Speaker 1: means that Nvidia has singularly, all by itself been ten 110 00:07:44,000 --> 00:07:47,360 Speaker 1: percent of these sales or profit growth in the aggregate 111 00:07:47,480 --> 00:07:52,960 Speaker 1: US economy. Wow, huge Apple has been ten percent of 112 00:07:53,000 --> 00:07:57,520 Speaker 1: the aggregate growth in sales or profits of the US economy. 113 00:07:58,280 --> 00:08:02,360 Speaker 1: So by weighting company in proportion to the dollar magnitude, 114 00:08:02,600 --> 00:08:06,200 Speaker 1: you're not going to introduce a bias towards frothy, tiny 115 00:08:06,240 --> 00:08:09,280 Speaker 1: companies that have had just a big percentage search. You 116 00:08:09,320 --> 00:08:12,680 Speaker 1: could have a tiny company that's grown tenfold, and if 117 00:08:12,680 --> 00:08:15,400 Speaker 1: you wait it by that tenfold growth, it's going to 118 00:08:15,400 --> 00:08:17,520 Speaker 1: get a huge weight and it's a tiny company and 119 00:08:18,320 --> 00:08:19,560 Speaker 1: it might be a flash in the pan. 120 00:08:20,040 --> 00:08:23,200 Speaker 2: So, in other words, the percentage gains matter, but so 121 00:08:23,440 --> 00:08:27,840 Speaker 2: too do the real dollar gains. Exactly right, I understand that. 122 00:08:28,280 --> 00:08:33,000 Speaker 2: So curious about the volatility of this versus traditional capwaiting indexes. 123 00:08:33,679 --> 00:08:37,600 Speaker 2: How does this compare? Are you getting better performance but 124 00:08:37,640 --> 00:08:39,520 Speaker 2: you have to live with a little more volatility. 125 00:08:40,200 --> 00:08:41,920 Speaker 1: The short answer is you have to live with a 126 00:08:41,920 --> 00:08:44,400 Speaker 1: little bit more volatility, and you have to live with 127 00:08:44,480 --> 00:08:48,960 Speaker 1: occasional periods when it will underperformed on average over the 128 00:08:49,000 --> 00:08:51,640 Speaker 1: last twenty eight years, it adds four and a half 129 00:08:51,640 --> 00:08:58,199 Speaker 1: percent a year, plus or minus seven percent. So in 130 00:08:58,320 --> 00:09:03,559 Speaker 1: just a normal disappointing year, it's going to underperform by 131 00:09:03,600 --> 00:09:06,839 Speaker 1: about two In a normal excellent year, it's going to 132 00:09:06,880 --> 00:09:12,680 Speaker 1: outperform by about twelve. So since we launched in last March, 133 00:09:12,880 --> 00:09:17,000 Speaker 1: the thirteen percent out performance means this is a very typical, 134 00:09:17,200 --> 00:09:21,760 Speaker 1: very normal good year, and so you have to be 135 00:09:21,800 --> 00:09:24,360 Speaker 1: willing to take a little bit of volatility. But if 136 00:09:24,360 --> 00:09:27,120 Speaker 1: you go back, you find that it wins about seven 137 00:09:27,160 --> 00:09:29,360 Speaker 1: out of ten years. Wow, that's pretty cool. 138 00:09:29,640 --> 00:09:32,880 Speaker 2: Yeah, to say the very least. So, since we're talking 139 00:09:32,880 --> 00:09:36,320 Speaker 2: about a lot of not just large cap companies, but 140 00:09:36,480 --> 00:09:42,120 Speaker 2: companies with a substantial economic footprint, my assumption is there 141 00:09:42,120 --> 00:09:45,600 Speaker 2: are a whole lot of capacity or liquiditly constraints. I'm 142 00:09:45,640 --> 00:09:48,839 Speaker 2: assuming this can ramp up just like an S ANDP 143 00:09:49,000 --> 00:09:50,240 Speaker 2: index or what have you. 144 00:09:51,320 --> 00:09:54,240 Speaker 1: Short answer your question is current AUM is zero, so 145 00:09:54,240 --> 00:10:01,240 Speaker 1: there's loads of capacity. Longer answer is a educated guess 146 00:10:01,280 --> 00:10:04,200 Speaker 1: would be it could. It has about four times the 147 00:10:04,240 --> 00:10:07,600 Speaker 1: turnover of the S and P maybe five, So just 148 00:10:07,679 --> 00:10:09,959 Speaker 1: on that alone, its capacity would be a fourth or 149 00:10:10,000 --> 00:10:12,079 Speaker 1: a fifth out of the S and P. It's also 150 00:10:12,160 --> 00:10:16,040 Speaker 1: tilted towards a particular category, not the whole broad market, 151 00:10:16,559 --> 00:10:19,760 Speaker 1: so that would suggest another haircut. I think its capacity 152 00:10:19,800 --> 00:10:22,000 Speaker 1: would be ten to twenty percent of the S and P. 153 00:10:22,440 --> 00:10:25,520 Speaker 1: Given that there's about fifteen trillion index to the S 154 00:10:25,600 --> 00:10:28,320 Speaker 1: and P that would be that would give us something 155 00:10:28,360 --> 00:10:30,080 Speaker 1: on the order of one and a half to three 156 00:10:30,160 --> 00:10:32,520 Speaker 1: trillion as a capacity. 157 00:10:32,000 --> 00:10:36,360 Speaker 2: So plenty of capacity. Last question, I've been watching various 158 00:10:36,480 --> 00:10:39,960 Speaker 2: narratives come into favor and then fade. We went through 159 00:10:40,000 --> 00:10:44,840 Speaker 2: a whole blockchain crypto set of narratives. AI seems to 160 00:10:44,880 --> 00:10:48,800 Speaker 2: be in the midst of its various narratives. 161 00:10:48,960 --> 00:10:50,120 Speaker 1: When you think. 162 00:10:49,840 --> 00:10:56,920 Speaker 2: About the Research Affiliates Growth Index Fundamental Growth Index, does 163 00:10:57,040 --> 00:11:01,560 Speaker 2: the dominant narrative matter or is it us redefining its 164 00:11:01,640 --> 00:11:07,640 Speaker 2: constituents based on what is best working today, what is 165 00:11:07,679 --> 00:11:12,920 Speaker 2: seeing the highest increases in revenue, profits and research and developments. 166 00:11:12,960 --> 00:11:18,360 Speaker 1: Mended well between RAFI, the fundamental index, which has stark 167 00:11:18,480 --> 00:11:21,640 Speaker 1: value tilt, and RAFFI growth, which has a stark growth tilt. 168 00:11:22,200 --> 00:11:25,040 Speaker 1: I like to think that we're launching a revolution in indexing. 169 00:11:25,760 --> 00:11:29,559 Speaker 1: I mean, the runway for this is huge. One other 170 00:11:29,640 --> 00:11:36,400 Speaker 1: observation we're quantitative investors. We love testing things. Quantitative investors 171 00:11:36,440 --> 00:11:39,400 Speaker 1: are addicted to data mining. Go back historically and ask 172 00:11:39,800 --> 00:11:42,600 Speaker 1: what can I construct that's worked. We don't do that. 173 00:11:43,559 --> 00:11:46,800 Speaker 1: Scientific method means you start with a hypothesis and you 174 00:11:46,840 --> 00:11:50,040 Speaker 1: only use the data to test the hypothesis. Our hypothesis 175 00:11:50,320 --> 00:11:53,400 Speaker 1: was if you select companies on how fast they're growing 176 00:11:53,840 --> 00:11:56,640 Speaker 1: and wait them on how large the magnitude of their 177 00:11:56,679 --> 00:11:59,520 Speaker 1: contribution to the economic growth. This is an idea that 178 00:11:59,600 --> 00:12:03,240 Speaker 1: might work pretty darn well. And lo and behold it does. 179 00:12:03,840 --> 00:12:06,280 Speaker 1: The back tests of RAFFI when we launched it twenty 180 00:12:06,360 --> 00:12:09,960 Speaker 1: years ago showed about two percent value add relative to 181 00:12:11,440 --> 00:12:14,199 Speaker 1: cap weighted value. It's added two to two and a 182 00:12:14,240 --> 00:12:17,400 Speaker 1: half percent live for twenty years. So you don't fall 183 00:12:17,440 --> 00:12:21,120 Speaker 1: into the trap of creating a strategy that looks great 184 00:12:21,160 --> 00:12:23,840 Speaker 1: in back test and falls apart instantly. 185 00:12:24,200 --> 00:12:26,880 Speaker 2: I'm so glad you said that, because when do you 186 00:12:26,920 --> 00:12:28,720 Speaker 2: ever see a bad back test? 187 00:12:28,920 --> 00:12:29,240 Speaker 1: Right? 188 00:12:29,520 --> 00:12:30,760 Speaker 2: All back tests are great? 189 00:12:31,440 --> 00:12:33,600 Speaker 1: That I see lots of bad vatus. Oh no, I 190 00:12:33,640 --> 00:12:35,040 Speaker 1: mean that gain never promoted. 191 00:12:36,200 --> 00:12:39,840 Speaker 2: The back tests that get shared are the ones that there's. 192 00:12:39,720 --> 00:12:40,199 Speaker 1: A little worse. 193 00:12:40,280 --> 00:12:43,520 Speaker 2: There are totally and and you know inherent in every 194 00:12:43,600 --> 00:12:47,360 Speaker 2: back test is the concept that the future is going 195 00:12:47,440 --> 00:12:49,680 Speaker 2: to look like the past, and very often we see 196 00:12:49,679 --> 00:12:53,120 Speaker 2: the future does not look like the past. So the 197 00:12:53,559 --> 00:12:57,760 Speaker 2: back tests all fail. Many back tests that look great 198 00:12:58,400 --> 00:13:03,240 Speaker 2: fail to perform in real life. The world changes. 199 00:13:04,120 --> 00:13:08,239 Speaker 1: And if you're doing a back test to create a better. 200 00:13:08,000 --> 00:13:11,360 Speaker 2: Back test, right, that's right, that's. 201 00:13:11,520 --> 00:13:16,040 Speaker 1: That's the epitome of data mining, and it's endemic in 202 00:13:16,080 --> 00:13:18,319 Speaker 1: our business, absolutely so. 203 00:13:18,920 --> 00:13:24,320 Speaker 2: Rob when the when this comes out as an investible product, 204 00:13:24,360 --> 00:13:27,120 Speaker 2: be it an ETF or an SMA or a mutual fund, 205 00:13:27,760 --> 00:13:29,120 Speaker 2: come back tell us about it. 206 00:13:29,160 --> 00:13:31,120 Speaker 1: I'm sure it will because I'm trying to keep it 207 00:13:31,200 --> 00:13:32,360 Speaker 1: secret because it's so good. 208 00:13:34,040 --> 00:13:36,760 Speaker 2: Well, you and Jim Simon's like, kick out all the 209 00:13:36,800 --> 00:13:39,800 Speaker 2: outside investors and just keep your own money into it 210 00:13:39,840 --> 00:13:44,600 Speaker 2: works well. So to wrap up, if you're concerned about 211 00:13:44,760 --> 00:13:49,560 Speaker 2: cap weight, if you're concerned about market concentration or valuation, 212 00:13:50,440 --> 00:13:54,760 Speaker 2: take a look at the research affiliate's growth index. It's 213 00:13:54,880 --> 00:13:59,720 Speaker 2: not market cap weighted, it's not yet investible. But I 214 00:13:59,760 --> 00:14:03,920 Speaker 2: know research affiliates, and I'm pretty confident there will be 215 00:14:03,960 --> 00:14:06,800 Speaker 2: an ETF for you to put money into at some 216 00:14:07,000 --> 00:14:10,679 Speaker 2: point in the future. I'm Barry results you've been listening 217 00:14:10,720 --> 00:14:20,360 Speaker 2: to Bloomberg's At the Money, you put the load right alone, 218 00:14:20,560 --> 00:14:20,880 Speaker 2: right on