1 00:00:01,120 --> 00:00:04,160 Speaker 1: You're listening to Taking Stock with Kathleen Hayes and Pim 2 00:00:04,200 --> 00:00:08,200 Speaker 1: Fox on Bloomberg Radio. We are broadcasting from the b 3 00:00:08,360 --> 00:00:11,440 Speaker 1: n Y Melan E t F Symposium in Data Point 4 00:00:11,480 --> 00:00:14,960 Speaker 1: to California. I'm Pim Fox, my co host Kathleen Hayes. 5 00:00:15,040 --> 00:00:18,160 Speaker 1: Joining us now is Karen Kerwin. He is a senior 6 00:00:18,239 --> 00:00:21,840 Speaker 1: investment strategist for pro Shares. Karen, thanks very much for 7 00:00:21,920 --> 00:00:25,079 Speaker 1: being here. Great to be here. Smart Beta. You've got 8 00:00:25,200 --> 00:00:28,240 Speaker 1: to help me understand what exactly this is because I 9 00:00:28,320 --> 00:00:32,080 Speaker 1: keep hearing how this is a big turning point for 10 00:00:32,240 --> 00:00:37,080 Speaker 1: a smart beta evaluation. How do you describe it to people? Yeah, 11 00:00:37,159 --> 00:00:39,199 Speaker 1: and I heard you mentioned before it is a bit 12 00:00:39,280 --> 00:00:42,320 Speaker 1: of an unfortunate term because it would imply, of course 13 00:00:42,360 --> 00:00:45,400 Speaker 1: that if everything other than smart beta would be dumb. 14 00:00:45,720 --> 00:00:48,280 Speaker 1: Of course that is exactly that is not the case. 15 00:00:48,320 --> 00:00:50,880 Speaker 1: But uh, the genie is out of the bottom a 16 00:00:50,920 --> 00:00:54,400 Speaker 1: little bit, so we are to some extent stuck with 17 00:00:54,480 --> 00:00:57,600 Speaker 1: that term. You know, I think there's there's two ways 18 00:00:57,640 --> 00:01:00,720 Speaker 1: to really think about smart beta um, and it's not 19 00:01:00,800 --> 00:01:04,200 Speaker 1: really all that complicated. It's been around for a long time. 20 00:01:05,200 --> 00:01:08,120 Speaker 1: One of which is to just describe it as any 21 00:01:08,240 --> 00:01:12,080 Speaker 1: type of investment strategy right that doesn't rely on a 22 00:01:12,160 --> 00:01:17,200 Speaker 1: market capitalization waiting like the SP like the SMP five hundred, 23 00:01:17,200 --> 00:01:20,640 Speaker 1: which takes its price divided by the SHARE's outstanding and 24 00:01:20,680 --> 00:01:24,520 Speaker 1: you get a weight you know, in all these securities. UM. 25 00:01:24,560 --> 00:01:27,319 Speaker 1: So a simple take on that would be UM the 26 00:01:27,440 --> 00:01:30,559 Speaker 1: SMP five hundred equally, way to take all the SMP 27 00:01:30,600 --> 00:01:34,080 Speaker 1: five names and instead of market cap waiting them, uh, 28 00:01:34,160 --> 00:01:37,720 Speaker 1: you equally wait them. That is by definition one form 29 00:01:37,840 --> 00:01:41,880 Speaker 1: of smart beta UM. But really the other way to 30 00:01:41,959 --> 00:01:46,840 Speaker 1: think about it is investment strategies that look to exploit 31 00:01:47,200 --> 00:01:51,320 Speaker 1: a so called factor or thing, a dynamic, a characteristic 32 00:01:51,320 --> 00:01:56,120 Speaker 1: in the marketplace that have explained returns over time. And 33 00:01:56,160 --> 00:01:58,200 Speaker 1: I just want you to continue down this path because 34 00:01:58,320 --> 00:02:01,200 Speaker 1: last a year ago here at in a point at 35 00:02:01,240 --> 00:02:05,480 Speaker 1: the bing My melanconference, I moderate a smart beta panel. 36 00:02:05,640 --> 00:02:08,760 Speaker 1: So to even understand it, I had to read a 37 00:02:08,800 --> 00:02:11,639 Speaker 1: lot of different things. And it's this whole point of 38 00:02:12,000 --> 00:02:16,040 Speaker 1: looking returns and then also bringing in quantitative models. How 39 00:02:16,080 --> 00:02:18,960 Speaker 1: does that part of it work? Sure, it's it's understanding 40 00:02:18,960 --> 00:02:25,840 Speaker 1: what's driven returns over over time, So understanding things like size. 41 00:02:25,960 --> 00:02:29,799 Speaker 1: You know, for example, stocks with a smaller size may 42 00:02:29,840 --> 00:02:36,320 Speaker 1: have delivered performance over time, things like low volatility. Right, 43 00:02:36,440 --> 00:02:42,040 Speaker 1: Stocks that have demonstrated low levels of volatility over time 44 00:02:42,240 --> 00:02:46,560 Speaker 1: have in fact explained much of stock market returns. So 45 00:02:46,680 --> 00:02:48,959 Speaker 1: is it a case then where you take you're still 46 00:02:48,960 --> 00:02:51,040 Speaker 1: going to have a certain maybe take part of the 47 00:02:51,080 --> 00:02:52,440 Speaker 1: s and P find to do something, and you just 48 00:02:52,560 --> 00:02:57,960 Speaker 1: add in a couple more of these themes or realities 49 00:02:58,000 --> 00:02:59,720 Speaker 1: to juice up the return that you would have if 50 00:02:59,760 --> 00:03:02,560 Speaker 1: you do and have the smartness in there. Sure, So 51 00:03:02,600 --> 00:03:07,400 Speaker 1: it's it's applying a specific factor to a group of 52 00:03:07,440 --> 00:03:11,880 Speaker 1: stocks with the hopes of identifying or tilting your portfolio 53 00:03:12,280 --> 00:03:15,760 Speaker 1: to get exposure to a particular factor that you may 54 00:03:15,880 --> 00:03:21,000 Speaker 1: want uh to exploit in a particular period of time. Dividends, 55 00:03:21,040 --> 00:03:24,359 Speaker 1: for example, would be a good example. Everybody wants exposure 56 00:03:24,360 --> 00:03:28,079 Speaker 1: in this type of market environment two companies that pay dividends, 57 00:03:28,120 --> 00:03:31,080 Speaker 1: so dividends in a way are considered a factor, and 58 00:03:31,160 --> 00:03:34,120 Speaker 1: dividends in this case would be the smart beta strategy 59 00:03:34,440 --> 00:03:39,000 Speaker 1: correct is one example. There are many factors out there 60 00:03:39,080 --> 00:03:46,520 Speaker 1: that academics that practitioners have defined and created investment strategies around. Um. 61 00:03:46,680 --> 00:03:50,040 Speaker 1: The purest kind of definition of smart beta would rely 62 00:03:50,120 --> 00:03:54,680 Speaker 1: on probably more of a handful of factors, um. But again, 63 00:03:54,720 --> 00:03:57,360 Speaker 1: in practice there are many many factors that are being 64 00:03:57,400 --> 00:03:59,640 Speaker 1: employed over the last year. Then, since we were here, 65 00:03:59,680 --> 00:04:01,680 Speaker 1: what what are one or two? What are a couple 66 00:04:01,760 --> 00:04:07,600 Speaker 1: of the smart beta tactic strategies that have worked especially well? Sure, 67 00:04:07,680 --> 00:04:11,120 Speaker 1: so I mentioned one of them already, which would be dividends, right, 68 00:04:11,200 --> 00:04:17,040 Speaker 1: Companies that pay dividends. For example, people looking to replace 69 00:04:17,120 --> 00:04:19,719 Speaker 1: some of their income needs in their portfolio at a 70 00:04:19,760 --> 00:04:22,719 Speaker 1: time when interest rates are very low, people are looking 71 00:04:22,760 --> 00:04:26,839 Speaker 1: for the stocks that pay dividends as a way to 72 00:04:27,000 --> 00:04:31,000 Speaker 1: compliment them in their portfolio. Another great example, um, would 73 00:04:31,040 --> 00:04:34,719 Speaker 1: be low volatility stocks. Right. And those are kind of 74 00:04:34,760 --> 00:04:40,000 Speaker 1: different complimentary in some ways, um, And they're more probably 75 00:04:40,279 --> 00:04:44,359 Speaker 1: risk focused in nature, meaning that people who are looking 76 00:04:44,760 --> 00:04:48,080 Speaker 1: to perhaps protect gains in the stock market over the 77 00:04:48,160 --> 00:04:50,560 Speaker 1: last couple of years are looking to identify stocks that 78 00:04:50,640 --> 00:04:53,360 Speaker 1: have a low level of volatility in hopes that they 79 00:04:53,360 --> 00:04:58,000 Speaker 1: will outperform. Now, just to understand a little bit more 80 00:04:58,040 --> 00:05:03,320 Speaker 1: in depth, you can you who's the smart beta philosophy 81 00:05:03,400 --> 00:05:06,920 Speaker 1: internally inside the portfolio? Correct? I mean you can say, okay, 82 00:05:06,920 --> 00:05:10,040 Speaker 1: here's my portfolio. Let's say you were I'm not suggesting 83 00:05:10,040 --> 00:05:14,040 Speaker 1: you should be a hundred invested in long biotech. Then 84 00:05:14,080 --> 00:05:16,000 Speaker 1: you could go and look for an E t F 85 00:05:16,400 --> 00:05:20,480 Speaker 1: that would mitigate some of the volatility or risk, and 86 00:05:20,520 --> 00:05:22,640 Speaker 1: as a result that would work as a smart beta, 87 00:05:22,680 --> 00:05:25,560 Speaker 1: but within the portfolio, not necessarily worrying about the absolute 88 00:05:25,560 --> 00:05:29,960 Speaker 1: performance outside correct. Yeah, you can employ smart beta strategies 89 00:05:30,000 --> 00:05:33,760 Speaker 1: in many different contexts in your portfolio. One way is 90 00:05:33,800 --> 00:05:38,880 Speaker 1: to enhance returns. Another way is to reduce risks um. 91 00:05:38,920 --> 00:05:43,080 Speaker 1: A third possible application is to get yourself exposure to 92 00:05:43,120 --> 00:05:46,280 Speaker 1: a particular factor that you may believe that investors may 93 00:05:46,320 --> 00:05:49,520 Speaker 1: believe may be a good time to invest in. So 94 00:05:49,760 --> 00:05:54,400 Speaker 1: a number of applications to the smart beta phenomenon. Karen Kurwin, 95 00:05:54,680 --> 00:05:57,160 Speaker 1: we are definitely smarter about beta than we were before 96 00:05:57,160 --> 00:06:00,000 Speaker 1: we started this conversation. Here in a senior investment stratego 97 00:06:00,200 --> 00:06:03,599 Speaker 1: just at pro Shares. He's joining me Kathleen Hayes and 98 00:06:03,680 --> 00:06:06,360 Speaker 1: my co host Pim Fox at B and Y Melons 99 00:06:06,520 --> 00:06:11,560 Speaker 1: E t F Exchange sixteen here in Dana Pointe, California. 100 00:06:11,880 --> 00:06:13,080 Speaker 1: This is Bloomberg