1 00:00:01,240 --> 00:00:08,039 Speaker 1: Because I'm a bigger, I'm a grinn. I'm Barry Ridholtz, 2 00:00:08,119 --> 00:00:11,119 Speaker 1: And on today's edition of At the Money, we're going 3 00:00:11,200 --> 00:00:14,080 Speaker 1: to discuss whether or not you should try your hands 4 00:00:14,640 --> 00:00:17,759 Speaker 1: at stock picking. It's fun, it gives you stuff to 5 00:00:17,840 --> 00:00:21,680 Speaker 1: talk about at parties, but is it profitable To help 6 00:00:21,760 --> 00:00:23,599 Speaker 1: us unpack all of this and what it means for 7 00:00:23,720 --> 00:00:27,960 Speaker 1: your portfolio, let's bring in Larry Swedrow, head of financial 8 00:00:27,960 --> 00:00:31,840 Speaker 1: and economic research at Buckingham Strategic Wealth. The firm manages 9 00:00:32,000 --> 00:00:35,919 Speaker 1: or advises on over seventy billion dollars in client assets, 10 00:00:35,960 --> 00:00:41,839 Speaker 1: and Swedrow has written or co written twenty books on investing. So, Larry, 11 00:00:42,280 --> 00:00:45,680 Speaker 1: I know you're not a big fan of stockpicking. What's 12 00:00:45,720 --> 00:00:48,160 Speaker 1: the problem with throwing a couple of great stocks into 13 00:00:48,200 --> 00:00:48,960 Speaker 1: your portfolio? 14 00:00:49,640 --> 00:00:53,080 Speaker 2: If it's done for an entertainment account in the same 15 00:00:53,120 --> 00:00:57,120 Speaker 2: way that we know expect to get rich going to 16 00:00:57,200 --> 00:01:01,720 Speaker 2: Las Vegas. No one would invest their eye in the 17 00:01:01,720 --> 00:01:05,560 Speaker 2: casinos of Las Vegas or go to the racetrack with it. 18 00:01:05,840 --> 00:01:08,240 Speaker 3: So that's okay if you're prepared to lose. 19 00:01:09,400 --> 00:01:14,200 Speaker 2: The evidence is very clear that stock pickers on average 20 00:01:14,680 --> 00:01:19,560 Speaker 2: lose because of their trading costs, not because they're generally dumb, 21 00:01:19,920 --> 00:01:24,640 Speaker 2: although I will add this, Barry, the typical retail investor 22 00:01:24,920 --> 00:01:30,280 Speaker 2: is actually dumb or naive, and they get exploited by 23 00:01:30,400 --> 00:01:34,680 Speaker 2: institutional investors. And it's a lot to do with biases. 24 00:01:35,160 --> 00:01:38,400 Speaker 2: On the behavioral side, they like to buy what are 25 00:01:38,480 --> 00:01:43,840 Speaker 2: called lottery like stocks, things that the vast majority of 26 00:01:43,880 --> 00:01:47,760 Speaker 2: the time do poorly, but occasionally you find the next Google. 27 00:01:48,160 --> 00:01:52,120 Speaker 2: So stocks they like to buy include things like stocks 28 00:01:52,120 --> 00:01:57,640 Speaker 2: and bankruptcy penny stocks, small cap growth stocks with high 29 00:01:57,680 --> 00:02:03,320 Speaker 2: investment and low profitability. Those stocks have underperformed treasury bills, 30 00:02:03,600 --> 00:02:06,960 Speaker 2: but they're the favorites of the retail investors, and the 31 00:02:07,000 --> 00:02:08,840 Speaker 2: institutions avoid them. 32 00:02:08,919 --> 00:02:11,079 Speaker 3: Giving them somewhat of an advantage. 33 00:02:11,200 --> 00:02:13,320 Speaker 1: I know you wrote a book about what a great 34 00:02:13,560 --> 00:02:16,760 Speaker 1: investor Warren Buffett is and how we can invest like him. 35 00:02:16,919 --> 00:02:20,960 Speaker 1: Peter Lynch was a great staff picker, Karl Icon, Bill Ackman, 36 00:02:21,560 --> 00:02:25,359 Speaker 1: all these different fidelity fund managers have been great stoff pickers. 37 00:02:25,800 --> 00:02:27,560 Speaker 1: How hard can it be? Why can't we just go 38 00:02:27,639 --> 00:02:31,239 Speaker 1: out and pick a few great stocks and that's our portfolio, right? 39 00:02:31,320 --> 00:02:36,079 Speaker 2: Okay, So let's start with the premise that markets are 40 00:02:36,120 --> 00:02:37,520 Speaker 2: not perfectly efficient. 41 00:02:37,600 --> 00:02:39,320 Speaker 3: There are a few people. 42 00:02:39,639 --> 00:02:43,680 Speaker 2: Who I've managed to outperform for whatever reason. And I 43 00:02:43,720 --> 00:02:47,560 Speaker 2: would agree with you that Peter Lynch certainly was a 44 00:02:47,600 --> 00:02:51,880 Speaker 2: great stockpicker. Maybe Bill Ackman, you could add, I would 45 00:02:51,919 --> 00:02:56,800 Speaker 2: disagree with Warren Buffett being a great stockpicker, taking nothing 46 00:02:56,840 --> 00:03:00,400 Speaker 2: away from what Buffett did, but the research show that 47 00:03:00,560 --> 00:03:06,320 Speaker 2: Buffett generated massive out returns not because of individual stock 48 00:03:06,400 --> 00:03:11,679 Speaker 2: picking skills, but because he identified certain traits or characteristics 49 00:03:11,960 --> 00:03:14,680 Speaker 2: of stocks that if you just bought an index of 50 00:03:14,720 --> 00:03:18,480 Speaker 2: those stocks, you would have done virtually as well as 51 00:03:18,520 --> 00:03:19,280 Speaker 2: Buffett did. 52 00:03:19,680 --> 00:03:20,760 Speaker 3: In the stock picking. 53 00:03:21,120 --> 00:03:25,559 Speaker 2: He has been telling people for decades to buy companies 54 00:03:25,639 --> 00:03:31,040 Speaker 2: that are cheap, profitable, high quality, low volatility of earnings, etc. 55 00:03:31,840 --> 00:03:36,080 Speaker 2: And the academics through reverse engineering, though it took him 56 00:03:36,120 --> 00:03:41,280 Speaker 2: fifty years to figure it out, now have identified these characteristics. 57 00:03:41,320 --> 00:03:44,800 Speaker 2: And all of the mutual funds I use run by 58 00:03:44,880 --> 00:03:51,640 Speaker 2: companies like Dimensional Bridgeway AQR, they all use the same strategies. 59 00:03:51,920 --> 00:03:55,400 Speaker 2: And Buffett's bird share has not outperformed in the last 60 00:03:55,400 --> 00:03:58,680 Speaker 2: couple of decades because the market is caught up to 61 00:03:58,760 --> 00:04:02,840 Speaker 2: him and elimit those anomalies. If you will, you can 62 00:04:02,920 --> 00:04:06,480 Speaker 2: do the same thing. So it takes nothing away from Buffett. 63 00:04:06,560 --> 00:04:09,400 Speaker 2: He gets all the credit for figuring it out fifty 64 00:04:09,480 --> 00:04:13,480 Speaker 2: years before everybody else. But it wasn't stock picking, and 65 00:04:13,520 --> 00:04:15,280 Speaker 2: it certainly wasn't market timing. 66 00:04:15,800 --> 00:04:18,839 Speaker 1: So I know the indexes will give me eight ten 67 00:04:18,920 --> 00:04:23,039 Speaker 1: percent a year annually, and those are great returns. But 68 00:04:23,360 --> 00:04:26,239 Speaker 1: Netflix is up like one thousand percent over the past 69 00:04:26,240 --> 00:04:29,880 Speaker 1: couple of years, and then Video is up three thousand 70 00:04:29,920 --> 00:04:33,080 Speaker 1: percent over the past couple of years. Wouldn't that goose 71 00:04:33,160 --> 00:04:35,600 Speaker 1: my returns if I can own companies like that? 72 00:04:36,279 --> 00:04:39,960 Speaker 2: Yeah, certainly true, Barry, but we got a couple of 73 00:04:40,040 --> 00:04:42,960 Speaker 2: problems with Edit. And but by the way, those kind 74 00:04:42,960 --> 00:04:46,760 Speaker 2: of returns are the ones that encourage people to try 75 00:04:46,800 --> 00:04:48,279 Speaker 2: to hit those home runs. 76 00:04:48,720 --> 00:04:49,920 Speaker 3: The data shows this. 77 00:04:50,279 --> 00:04:53,359 Speaker 2: Out of the thousands of stocks that are out there 78 00:04:53,839 --> 00:04:56,960 Speaker 2: over the you know now of one hundred years virtually 79 00:04:57,000 --> 00:05:00,840 Speaker 2: of data in the US, only four percent of stocks 80 00:05:01,320 --> 00:05:05,039 Speaker 2: four percent have provided one hundred percent of the risk 81 00:05:05,160 --> 00:05:09,320 Speaker 2: premium over at T bills. What are the odds you're 82 00:05:09,360 --> 00:05:12,520 Speaker 2: going to be able to find those stocks? Problem number 83 00:05:12,600 --> 00:05:17,240 Speaker 2: two is people cite the in videos, but they also 84 00:05:17,400 --> 00:05:20,760 Speaker 2: forget that last year, a good example, while the SMP 85 00:05:21,040 --> 00:05:24,200 Speaker 2: was up twenty six and a half percent, ten stocks 86 00:05:24,320 --> 00:05:30,200 Speaker 2: underperformed by at least like sixty percent. At least sixty percent, 87 00:05:30,600 --> 00:05:34,240 Speaker 2: they're down at least thirty two. So everyone likes to 88 00:05:34,279 --> 00:05:37,279 Speaker 2: point out the winners, but you also then have a 89 00:05:37,279 --> 00:05:39,920 Speaker 2: good shot at getting the losers. In fact, the odds 90 00:05:39,960 --> 00:05:42,080 Speaker 2: are you're going to pick the losers. 91 00:05:42,600 --> 00:05:43,279 Speaker 3: Here's why. 92 00:05:43,880 --> 00:05:47,200 Speaker 2: Because only four percent of all the stocks account for 93 00:05:47,360 --> 00:05:52,520 Speaker 2: all the outperformance. That means the average stocks underperforms the average. 94 00:05:52,839 --> 00:05:56,240 Speaker 2: So the odds are you're going to pick the underperformers, 95 00:05:56,520 --> 00:05:58,040 Speaker 2: not the outperformers. 96 00:05:58,040 --> 00:05:59,320 Speaker 3: That's simple math. 97 00:06:00,720 --> 00:06:03,679 Speaker 2: So the more stocks you own, the better your odds 98 00:06:03,800 --> 00:06:05,360 Speaker 2: of earning the average. 99 00:06:05,560 --> 00:06:08,039 Speaker 1: So if I'm a stock picker and I have a 100 00:06:08,080 --> 00:06:10,640 Speaker 1: full time job and I'm doing this, you know, on 101 00:06:10,720 --> 00:06:14,000 Speaker 1: the side, what sort of performance should I expect? 102 00:06:14,520 --> 00:06:18,200 Speaker 2: Should expect a performance that if you are familiar with 103 00:06:18,279 --> 00:06:23,400 Speaker 2: asset classing asset class pricing models. So if you buy 104 00:06:23,440 --> 00:06:26,560 Speaker 2: a large value stock, you're probably going to get the 105 00:06:26,680 --> 00:06:31,080 Speaker 2: returns of a large value index, but with a lot 106 00:06:31,120 --> 00:06:34,679 Speaker 2: more volatility because you own one stock instead of maybe 107 00:06:34,720 --> 00:06:39,039 Speaker 2: two hundred, So you could have what's called tracking variants 108 00:06:39,440 --> 00:06:42,440 Speaker 2: around that of five or even ten percent. But the 109 00:06:42,440 --> 00:06:45,160 Speaker 2: more stocks you want, the closer you're going to get 110 00:06:45,160 --> 00:06:48,640 Speaker 2: to that index, so why bother. You're better off just 111 00:06:48,760 --> 00:06:51,560 Speaker 2: owning the index at very low costs. You don't have 112 00:06:51,640 --> 00:06:55,120 Speaker 2: to spend any time doing it. Your life will probably 113 00:06:55,160 --> 00:06:57,960 Speaker 2: be a lot better and you know, because you'll spend 114 00:06:57,960 --> 00:07:00,880 Speaker 2: more time with your wife and your kids and enjoying 115 00:07:00,920 --> 00:07:03,800 Speaker 2: a nice round of golf, for a walk in the park. 116 00:07:03,720 --> 00:07:06,240 Speaker 3: Or do what I do playing with my grandkids. 117 00:07:06,440 --> 00:07:08,520 Speaker 2: Get a lot more pleasure out of that than trying 118 00:07:08,520 --> 00:07:10,160 Speaker 2: to pick stocks at time the market. 119 00:07:10,640 --> 00:07:14,320 Speaker 1: What about emotional biases? How do they affect people who 120 00:07:14,400 --> 00:07:17,880 Speaker 1: think they could go out and pick the winning stocks 121 00:07:17,960 --> 00:07:20,800 Speaker 1: versus simply owning a broad index. 122 00:07:21,200 --> 00:07:24,640 Speaker 2: Yeah, there's certainly that emotional biases are part of the 123 00:07:24,680 --> 00:07:29,680 Speaker 2: reason people think they're going to outperform their Research shows, 124 00:07:29,760 --> 00:07:34,080 Speaker 2: for example, that were human beings, and we tend to 125 00:07:34,120 --> 00:07:38,560 Speaker 2: be over optimistic, over confident in our skills, so that 126 00:07:38,800 --> 00:07:41,840 Speaker 2: ninety percent of the people think they're better than average, 127 00:07:42,080 --> 00:07:45,760 Speaker 2: regardless of the endeavor, whether it's whether you're a better 128 00:07:45,800 --> 00:07:49,280 Speaker 2: than average driver, a better than average lover, or a 129 00:07:49,280 --> 00:07:52,480 Speaker 2: better than average stock picker, so you think. 130 00:07:52,240 --> 00:07:54,040 Speaker 3: You're likely to outperform. 131 00:07:54,400 --> 00:07:59,680 Speaker 2: In fact, studies have shown people were asked did you outperform, 132 00:08:00,280 --> 00:08:03,280 Speaker 2: and by how much The people who thought they actually 133 00:08:03,360 --> 00:08:07,080 Speaker 2: outperformed actually even lots money in the years not only 134 00:08:07,120 --> 00:08:11,679 Speaker 2: did they not outperform, So selective memory creates a problem 135 00:08:11,720 --> 00:08:12,280 Speaker 2: as well. 136 00:08:12,640 --> 00:08:16,360 Speaker 1: Amazing. One of the things I've heard people talk about 137 00:08:16,520 --> 00:08:20,200 Speaker 1: is setting up a small what I've heard described as 138 00:08:20,320 --> 00:08:23,600 Speaker 1: cowboy account where they can throw caution to the winds. 139 00:08:23,960 --> 00:08:27,000 Speaker 1: They take less than five percent of their liquid assets, 140 00:08:27,440 --> 00:08:30,840 Speaker 1: and that's as much as they're willing to risk and 141 00:08:30,960 --> 00:08:34,120 Speaker 1: allows them to scratch that itch of either stock picking 142 00:08:34,320 --> 00:08:36,880 Speaker 1: or whatever it is. What are your thoughts on that 143 00:08:36,920 --> 00:08:37,720 Speaker 1: sort of approach. 144 00:08:38,720 --> 00:08:42,080 Speaker 2: Taking five percent of a portfolio is not likely to 145 00:08:42,120 --> 00:08:44,080 Speaker 2: cause your great harm. And if you don't do a 146 00:08:44,120 --> 00:08:47,040 Speaker 2: lot of trading, and you'd build a little bit of 147 00:08:47,080 --> 00:08:51,760 Speaker 2: diversified you're probably going to get something like market returns 148 00:08:51,760 --> 00:08:54,920 Speaker 2: in a few follow the research as presenting my books, 149 00:08:54,920 --> 00:08:58,520 Speaker 2: you can avoid those lottery stocks, improving. 150 00:08:58,040 --> 00:09:00,160 Speaker 3: Your odds, you know. 151 00:09:00,240 --> 00:09:03,040 Speaker 2: But my question to you is if you need to 152 00:09:03,120 --> 00:09:07,720 Speaker 2: get enjoyment out of stock picking to have a good life, 153 00:09:07,800 --> 00:09:10,120 Speaker 2: I suggest you might want to get another life. 154 00:09:10,720 --> 00:09:10,880 Speaker 3: Now. 155 00:09:10,880 --> 00:09:13,840 Speaker 2: I say that with tongue in cheek, because people like 156 00:09:13,880 --> 00:09:16,160 Speaker 2: to go to the racetrack and you know, go to 157 00:09:16,200 --> 00:09:19,439 Speaker 2: the casinos. There's nothing wrong with that, but if that's 158 00:09:19,480 --> 00:09:22,160 Speaker 2: what you really need to enjoy your life, you might 159 00:09:22,240 --> 00:09:25,560 Speaker 2: want to think about where your values are. 160 00:09:25,720 --> 00:09:27,640 Speaker 3: Again, I say that with tongue in cheek. 161 00:09:28,080 --> 00:09:31,600 Speaker 1: So to wrap up. Investors who think they can become 162 00:09:32,040 --> 00:09:36,760 Speaker 1: winning stock pickers face long odds. Most of the stocks 163 00:09:36,760 --> 00:09:40,240 Speaker 1: that are out there will underperform the index and certainly 164 00:09:40,280 --> 00:09:43,600 Speaker 1: not be a source of outperformance. The odds are that 165 00:09:43,600 --> 00:09:46,880 Speaker 1: they're going to add risk and volatility while spending a 166 00:09:46,880 --> 00:09:49,319 Speaker 1: lot of time and effort to pick stocks, and the 167 00:09:49,400 --> 00:09:53,640 Speaker 1: key takeaway is they're going to underperform a broad index anyway. 168 00:09:54,200 --> 00:09:56,880 Speaker 1: That's what they need to understand. If you want to 169 00:09:56,920 --> 00:09:59,600 Speaker 1: set up a cowboy account with a tiny percentage in 170 00:09:59,600 --> 00:10:03,160 Speaker 1: play with that, knock yourself out, have some fun, just 171 00:10:03,320 --> 00:10:07,240 Speaker 1: recognize that's all it is, and your real money should 172 00:10:07,280 --> 00:10:10,040 Speaker 1: be locked away in working over the long haul for you. 173 00:10:10,559 --> 00:10:14,000 Speaker 1: I'm Barry Ridholts and this is Bloomberg's at the Money. 174 00:10:14,000 --> 00:10:18,520 Speaker 3: Because I'm a I'm a grinner, I'm a lover, and 175 00:10:18,679 --> 00:10:23,319 Speaker 3: I'm a sinner. I blame my music in this U