1 00:00:05,800 --> 00:00:07,680 Speaker 1: Hey, it's Joel. I know you're not supposed to hear 2 00:00:07,680 --> 00:00:10,000 Speaker 1: from me or Eric for another week, but I'm just 3 00:00:10,039 --> 00:00:13,280 Speaker 1: too excited about our next episode. We recently sat down 4 00:00:13,280 --> 00:00:18,119 Speaker 1: with legendary money manager, Bloomberg opinion columnists, podcast host, and 5 00:00:18,200 --> 00:00:22,279 Speaker 1: general jack of all trades Barry Ritholtz for several hours. 6 00:00:22,440 --> 00:00:26,160 Speaker 1: That's right, several hours. We talked about e t f s, 7 00:00:26,360 --> 00:00:29,040 Speaker 1: the state of the economy, and whether we still even 8 00:00:29,120 --> 00:00:32,839 Speaker 1: need financial advisors like Barry. We even threw caution to 9 00:00:32,840 --> 00:00:36,720 Speaker 1: the win and waded into politics and tariffs. Berry didn't 10 00:00:36,760 --> 00:00:39,880 Speaker 1: hold back. So tune in next week for special double 11 00:00:39,960 --> 00:00:43,600 Speaker 1: episode of Trillions, and in the meantime, check out Barry's 12 00:00:43,640 --> 00:00:46,959 Speaker 1: podcasts Masters in Business while you wait. He's been doing 13 00:00:46,960 --> 00:00:50,000 Speaker 1: this forever. He's amazing to get a taste of Masters 14 00:00:50,000 --> 00:00:53,360 Speaker 1: in Business. Here's an excerpt from a recent interview that 15 00:00:53,400 --> 00:00:56,600 Speaker 1: he did with research affiliates rob Or, not a big 16 00:00:56,680 --> 00:01:04,000 Speaker 1: name in E t S. Let's talk a little bit 17 00:01:04,080 --> 00:01:10,880 Speaker 1: about factors investing. Um Fama French famously identified first the 18 00:01:10,880 --> 00:01:13,400 Speaker 1: three factor model and the five factor model, then the 19 00:01:13,520 --> 00:01:17,399 Speaker 1: seven factor model. Are there still factors out there that 20 00:01:17,440 --> 00:01:23,279 Speaker 1: have yet to be discovered? Two answers to that question. Firstly, yes, 21 00:01:23,720 --> 00:01:28,000 Speaker 1: there will be. They've already been five factors published five 22 00:01:29,120 --> 00:01:33,880 Speaker 1: and um, there will be hundreds more. Now the more 23 00:01:34,680 --> 00:01:37,479 Speaker 1: pertinent question is how much of this is data mining 24 00:01:38,560 --> 00:01:41,760 Speaker 1: finding relationships that prevailed in the past that have no 25 00:01:41,880 --> 00:01:45,000 Speaker 1: reason to prevail in the future, and how much of 26 00:01:45,040 --> 00:01:51,920 Speaker 1: it is, um truly factors that drive price that can 27 00:01:51,960 --> 00:01:56,560 Speaker 1: be truly a reliable source of excess return, Meaning is 28 00:01:56,600 --> 00:02:02,240 Speaker 1: there enough outperformance here that can be captured by a portfolio? 29 00:02:02,440 --> 00:02:06,520 Speaker 1: Exactly so of those five So, if these were really 30 00:02:06,640 --> 00:02:09,680 Speaker 1: good factors, why wouldn't we create a if not a 31 00:02:09,720 --> 00:02:13,200 Speaker 1: five hundred factor portfolio. Hey, let's put these in order 32 00:02:13,240 --> 00:02:17,480 Speaker 1: of the strongest outperformance generators, and here are the fifty 33 00:02:17,680 --> 00:02:21,800 Speaker 1: or five best factors. Why can't we do that? Well? 34 00:02:21,840 --> 00:02:24,560 Speaker 1: I wrote a paper a couple of years ago called 35 00:02:24,600 --> 00:02:27,720 Speaker 1: how can smart pay to Go Horribly Wrong? And I 36 00:02:27,760 --> 00:02:33,320 Speaker 1: remember that it was massively controversial. I thought the controversy 37 00:02:33,560 --> 00:02:38,359 Speaker 1: was amusing because if I'd written a paper entitled how 38 00:02:38,400 --> 00:02:42,880 Speaker 1: can stock picking go Horribly wrong? And I offered the 39 00:02:42,880 --> 00:02:47,160 Speaker 1: the sage insight that if a stock soars and its 40 00:02:47,200 --> 00:02:52,880 Speaker 1: fundamentals haven't, so it's valuation multiples have sword, it's past 41 00:02:52,919 --> 00:02:58,000 Speaker 1: returns will look artificially wonderful, and if there's any mean 42 00:02:58,080 --> 00:03:01,480 Speaker 1: or version on valuations, it's future performance will to use 43 00:03:01,480 --> 00:03:07,640 Speaker 1: a technical term, suck. So um. People would have read 44 00:03:07,680 --> 00:03:10,240 Speaker 1: that paper and said, what's this nitwit talking about? Everybody 45 00:03:10,280 --> 00:03:15,840 Speaker 1: knows that by saying exactly the same thing about factors 46 00:03:16,360 --> 00:03:23,080 Speaker 1: and smart beta strategies, I was pilloried for suggesting that 47 00:03:23,200 --> 00:03:27,480 Speaker 1: the same thing could apply for strategies. Now, if you 48 00:03:27,520 --> 00:03:32,520 Speaker 1: go back historically, you find that the alpha of many 49 00:03:32,560 --> 00:03:38,680 Speaker 1: of the smart beta factors have has not been tested 50 00:03:39,120 --> 00:03:41,360 Speaker 1: in terms of how much of that access return came 51 00:03:41,400 --> 00:03:45,400 Speaker 1: from rising valuation multiples. We might as well have a 52 00:03:45,400 --> 00:03:51,920 Speaker 1: an Apple factor that simply says Apple has outperformed magnificently. 53 00:03:52,600 --> 00:03:56,600 Speaker 1: It is a powerful factor. You have a long Apple, 54 00:03:56,760 --> 00:04:02,120 Speaker 1: short everything else factor, and because of the past performance, 55 00:04:02,200 --> 00:04:05,440 Speaker 1: we know it's going to continue to work. Let's digress 56 00:04:05,480 --> 00:04:08,640 Speaker 1: a little bit and and define factors for people who 57 00:04:08,680 --> 00:04:12,280 Speaker 1: may not be familiar with Gene Fama, who won the 58 00:04:12,280 --> 00:04:15,360 Speaker 1: Noble Prize a few years ago for his for a 59 00:04:15,400 --> 00:04:18,800 Speaker 1: lot of his work. Um the original and it's Gene 60 00:04:18,800 --> 00:04:21,840 Speaker 1: Farm and Ken Frenchship. Dartmouth Farm is at Chicago. The 61 00:04:21,880 --> 00:04:28,960 Speaker 1: original farm of French factor paper was small capitalization value, 62 00:04:29,120 --> 00:04:31,400 Speaker 1: and I'm trying to remember was that momentum or quality 63 00:04:31,440 --> 00:04:34,800 Speaker 1: market market beta market. So that's the three, okay, and 64 00:04:34,800 --> 00:04:39,520 Speaker 1: then when we moved to five, we added um uh, 65 00:04:39,680 --> 00:04:43,680 Speaker 1: quality and momentum, So that's the next lot, and then seven. 66 00:04:43,720 --> 00:04:46,320 Speaker 1: I don't even know what the next two are. I'm 67 00:04:46,320 --> 00:04:51,040 Speaker 1: not certain, but I think it's illiquidity and investment. Right. So, 68 00:04:51,040 --> 00:04:53,760 Speaker 1: so all of this comes back to let's let's keep 69 00:04:53,760 --> 00:04:57,200 Speaker 1: it simple. Low cost stocks over long periods of time, 70 00:04:58,440 --> 00:05:01,160 Speaker 1: better value stocks, not a expensive stocks. I don't mean 71 00:05:01,240 --> 00:05:05,920 Speaker 1: low price tend to outperform expensive stocks over the long haul, 72 00:05:06,560 --> 00:05:10,440 Speaker 1: exactly right Now. Advocates of efficient markets will say it's 73 00:05:10,640 --> 00:05:12,960 Speaker 1: got to be because of some kind of hidden risk, 74 00:05:13,000 --> 00:05:16,839 Speaker 1: because you can't get something for nothing. Um. I would 75 00:05:16,839 --> 00:05:20,200 Speaker 1: push back against that and say it's not risk with value. 76 00:05:20,720 --> 00:05:23,160 Speaker 1: Might be risked with small cap because there and then 77 00:05:23,200 --> 00:05:26,680 Speaker 1: there's a liquidity issues, but with value, it's the psychology. 78 00:05:26,720 --> 00:05:31,600 Speaker 1: It's to behavior of who wants to buy this. Dominoes 79 00:05:31,680 --> 00:05:34,760 Speaker 1: is one of my favorite examples. Domino's had a big, 80 00:05:34,839 --> 00:05:37,440 Speaker 1: a whole run of issues late nineties early two thousand's 81 00:05:37,839 --> 00:05:40,720 Speaker 1: the stock did poorly. People were thinking, all right, well 82 00:05:40,760 --> 00:05:43,719 Speaker 1: that chain is pretty much done, and dominoes over the 83 00:05:43,760 --> 00:05:46,719 Speaker 1: past I think it's either fifteen or twenty years has 84 00:05:46,839 --> 00:05:50,440 Speaker 1: handily outperformed Apple. I may be getting the timeframe wrong, 85 00:05:50,520 --> 00:05:54,280 Speaker 1: glow so, and that's the psychology of who wants to 86 00:05:54,279 --> 00:05:56,919 Speaker 1: touch that? And if you look from the trough in 87 00:05:56,960 --> 00:06:01,880 Speaker 1: two thousand nine, Uh City ever so briefly dipped below 88 00:06:01,920 --> 00:06:06,480 Speaker 1: a buck, be of a dipped to roughly two bucks. 89 00:06:07,400 --> 00:06:12,920 Speaker 1: And since then those have handily outperformed Apple. Um so, 90 00:06:13,960 --> 00:06:17,880 Speaker 1: but they've outperformed it from a starting point of being 91 00:06:18,120 --> 00:06:24,000 Speaker 1: thought on death's door. So value, it seems to me, 92 00:06:24,279 --> 00:06:28,719 Speaker 1: does have a behavioral basis. Basically, when you have a 93 00:06:28,800 --> 00:06:33,040 Speaker 1: value orientation, you're buying what's unloved, what people want to shun. 94 00:06:33,560 --> 00:06:37,440 Speaker 1: That should be rewarded. Now is it a hidden risk 95 00:06:37,520 --> 00:06:41,400 Speaker 1: factor only psychologically? Well, let me let me push back 96 00:06:41,400 --> 00:06:45,000 Speaker 1: a little bit over there. Two companies in the financial 97 00:06:45,040 --> 00:06:48,120 Speaker 1: crisis look terrible. One of them's a I G. The 98 00:06:48,160 --> 00:06:52,080 Speaker 1: other's Lehman Brothers. You can buy a i G rescued 99 00:06:52,200 --> 00:06:55,599 Speaker 1: and and since pretty decent, not great, but pretty decent 100 00:06:55,640 --> 00:06:59,280 Speaker 1: returns off of the bottom and Lehman. I guess we 101 00:06:59,320 --> 00:07:01,640 Speaker 1: could call that of value trap. Although there were elements 102 00:07:01,640 --> 00:07:04,159 Speaker 1: of fraud in RepA one O five, there was a 103 00:07:04,200 --> 00:07:08,080 Speaker 1: whole different set of problems with Lehman. But the risk 104 00:07:08,160 --> 00:07:10,440 Speaker 1: with value is am I buying something that's going to 105 00:07:10,480 --> 00:07:13,920 Speaker 1: be a zero. That's known as a value trap. It's 106 00:07:13,920 --> 00:07:16,200 Speaker 1: a stock that looks cheap on its way to zero. 107 00:07:16,920 --> 00:07:19,000 Speaker 1: Now it's hard to have a whole sector that looks 108 00:07:19,040 --> 00:07:21,960 Speaker 1: cheap on its way to zero. I coined the term 109 00:07:22,120 --> 00:07:26,720 Speaker 1: anti bubble in two thousand nine to describe what I 110 00:07:26,840 --> 00:07:30,120 Speaker 1: perceived as the inverse of a bubble, where an entire 111 00:07:30,280 --> 00:07:33,800 Speaker 1: sector of the economy is priced as if they're all 112 00:07:33,800 --> 00:07:38,880 Speaker 1: headed for oblivion, when in fact, every failure clears the 113 00:07:38,960 --> 00:07:43,440 Speaker 1: runway for the survivors to have higher profits, higher margins, 114 00:07:43,560 --> 00:07:48,720 Speaker 1: and greater success ahead. So unless you wanted to um 115 00:07:48,920 --> 00:07:54,240 Speaker 1: accept the notion of armageddon the end of the economy, 116 00:07:54,320 --> 00:07:59,000 Speaker 1: uh you, it made sense to think that collectively this 117 00:07:59,280 --> 00:08:03,200 Speaker 1: sector was being dismissed when it shouldn't be. There's a 118 00:08:03,200 --> 00:08:05,960 Speaker 1: whole group of people that are the armagen traders. I 119 00:08:06,000 --> 00:08:09,960 Speaker 1: think the Ft called them the plastic bears. They'll scream 120 00:08:10,040 --> 00:08:12,800 Speaker 1: arm again, but then they'll he here's what we can 121 00:08:12,840 --> 00:08:16,120 Speaker 1: sell you while we're waiting for armagin um. The other 122 00:08:16,160 --> 00:08:19,960 Speaker 1: thing about anti bubble is so fascinating. You could say, 123 00:08:19,960 --> 00:08:23,720 Speaker 1: there's an anti bubble in what was it? Home builders 124 00:08:23,720 --> 00:08:26,679 Speaker 1: and oh five, and mortgage brokers and bankers and oh 125 00:08:26,720 --> 00:08:27,120 Speaker 1: six and