1 00:00:02,520 --> 00:00:28,520 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:29,760 --> 00:00:32,839 Speaker 2: What would you say if I told you that most 3 00:00:32,880 --> 00:00:39,239 Speaker 2: investors underperform not only the benchmarks, but their own investments. 4 00:00:40,000 --> 00:00:43,360 Speaker 2: That's the conclusion of an annual study by morning Star 5 00:00:43,720 --> 00:00:49,440 Speaker 2: titled Mind the Gap. It examines the differences between returns 6 00:00:49,560 --> 00:00:55,560 Speaker 2: generated by investment funds and the actual returns investors experience. 7 00:00:56,240 --> 00:01:01,040 Speaker 2: The difference between the two, it's a substantial performance gap, 8 00:01:01,320 --> 00:01:05,800 Speaker 2: driven in large part by investor behavior. I have the 9 00:01:05,880 --> 00:01:09,480 Speaker 2: perfect person to discuss this with. Jeffrey Pattak is the 10 00:01:09,560 --> 00:01:13,279 Speaker 2: managing director at morning Star. Previously he was the chief 11 00:01:13,360 --> 00:01:16,720 Speaker 2: ratings officer there. He joined morning Store way back in 12 00:01:16,800 --> 00:01:21,120 Speaker 2: two thousand and two. So, Jeffrey, let's start with the basics. 13 00:01:21,760 --> 00:01:25,480 Speaker 2: What is the investor return gap and how large is it? 14 00:01:26,720 --> 00:01:28,560 Speaker 3: Yeah, so, first off, thanks so much for having me. 15 00:01:28,600 --> 00:01:30,600 Speaker 3: I'm a big fan of the podcast. So the investor 16 00:01:30,600 --> 00:01:34,240 Speaker 3: return gap is the difference between our estimate of the 17 00:01:34,440 --> 00:01:37,520 Speaker 3: average return of a funder or a group of funds 18 00:01:37,560 --> 00:01:41,479 Speaker 3: and that funds. It's total return, it's stated return. What's 19 00:01:41,520 --> 00:01:43,840 Speaker 3: the difference between the two of those things. The former 20 00:01:43,920 --> 00:01:47,520 Speaker 3: takes into account the timing and magnitude of cash flows 21 00:01:47,600 --> 00:01:50,280 Speaker 3: that have come and gone to and from the fund 22 00:01:50,280 --> 00:01:52,920 Speaker 3: over time, whereas a total return, which most of us 23 00:01:52,920 --> 00:01:56,000 Speaker 3: are familiar with from popping out up Bloomberg dot com 24 00:01:56,120 --> 00:01:59,560 Speaker 3: or Morningstar dot com assumes an initial lump sum investment. 25 00:01:59,680 --> 00:02:02,600 Speaker 3: And so when you compare the two of them, you 26 00:02:02,640 --> 00:02:04,960 Speaker 3: can derive a sense of the impact of the timing 27 00:02:05,000 --> 00:02:08,360 Speaker 3: and magnitude of buys and sells over time. To cut 28 00:02:08,360 --> 00:02:11,200 Speaker 3: to the chase, when we estimated that for the trailing 29 00:02:11,240 --> 00:02:13,839 Speaker 3: ten years and to December thirty first, twenty twenty four, 30 00:02:14,160 --> 00:02:16,800 Speaker 3: we found that there's a one point two percentage point 31 00:02:16,880 --> 00:02:20,960 Speaker 3: annual return gap compared to the funds aggregate total returns. So, 32 00:02:21,400 --> 00:02:24,680 Speaker 3: in essence, what that meant is that the timing and 33 00:02:24,720 --> 00:02:29,120 Speaker 3: magnitude of cash flows basically cost investors around fifteen percent 34 00:02:29,160 --> 00:02:30,840 Speaker 3: of their aggregate total returns. 35 00:02:31,280 --> 00:02:35,880 Speaker 2: That's unbelievable. That's a giant, giant shortfall. How do you 36 00:02:36,000 --> 00:02:39,320 Speaker 2: calculate that gap? How do you figure out? I mean, 37 00:02:39,320 --> 00:02:41,720 Speaker 2: it's easy to figure out what a fund, an ETF, 38 00:02:41,760 --> 00:02:44,640 Speaker 2: a mutual funds is actually generating. How do you figure 39 00:02:44,680 --> 00:02:48,600 Speaker 2: out the shortfall that individual investors are suffering? 40 00:02:49,520 --> 00:02:53,000 Speaker 3: Yeah, great question. It's akin to an internal rate of return. Estimate. 41 00:02:53,080 --> 00:02:55,960 Speaker 3: So we pull all US open end fund and ETF 42 00:02:56,320 --> 00:03:00,720 Speaker 3: assets together, so that's their beginning that assets. They're monthly flows, 43 00:03:00,760 --> 00:03:04,160 Speaker 3: so that's one hundred and twenty monthly netflows that we 44 00:03:05,040 --> 00:03:07,520 Speaker 3: impound into the calculation, as well as their ending net assets. 45 00:03:07,800 --> 00:03:11,000 Speaker 3: We dump all of that into a calculation that derives 46 00:03:11,120 --> 00:03:14,560 Speaker 3: essentially the concert return that would reconcile the beginning assets 47 00:03:14,560 --> 00:03:17,200 Speaker 3: to the ending assets after taking those cash flows into account. 48 00:03:17,560 --> 00:03:20,480 Speaker 3: All the data we use is data that morning Star collects. 49 00:03:20,560 --> 00:03:23,519 Speaker 3: So funds support their assets as well as their flows, 50 00:03:23,560 --> 00:03:26,119 Speaker 3: and so we scoop that up and we plug it in. 51 00:03:26,720 --> 00:03:29,840 Speaker 2: So what sort of funds does this include? I assume 52 00:03:29,880 --> 00:03:36,160 Speaker 2: this is mutual funds and ETFs. Anything else in the package. 53 00:03:35,120 --> 00:03:38,440 Speaker 3: You got it. It encompasses US open end mutual funds 54 00:03:38,480 --> 00:03:41,680 Speaker 3: as well as ets. It wouldn't include things like closed 55 00:03:41,760 --> 00:03:45,560 Speaker 3: end funds. In all, there were around twenty six thousand 56 00:03:46,160 --> 00:03:49,920 Speaker 3: individual funds and ETFs that together held around twenty five 57 00:03:50,000 --> 00:03:53,120 Speaker 3: trillion dollars in assets by the end of our study period, 58 00:03:53,160 --> 00:03:55,520 Speaker 3: so it's quite a comprehensive study. 59 00:03:56,640 --> 00:04:00,920 Speaker 2: I'm fascinated by the difference between timewaighted rate of returns 60 00:04:00,960 --> 00:04:05,640 Speaker 2: for funds and acid weighted returns. Explain the two, because 61 00:04:05,680 --> 00:04:09,160 Speaker 2: really that makes a giant difference, doesn't it It does. 62 00:04:09,200 --> 00:04:13,160 Speaker 3: Indeed, yes, your listeners are probably familiar with time weighted 63 00:04:13,200 --> 00:04:16,160 Speaker 3: returns because that's what they'd encounter in their normal affairs. 64 00:04:16,160 --> 00:04:18,320 Speaker 3: So I mentioned earlier, if they were to pop on 65 00:04:18,320 --> 00:04:20,640 Speaker 3: to Bloomberg dot com or Morningstar dot com pull up 66 00:04:20,640 --> 00:04:23,839 Speaker 3: a funds performance, those are time weighted return figures. The 67 00:04:23,880 --> 00:04:27,440 Speaker 3: more popular parerlance is total returns and a time weighted return. 68 00:04:27,480 --> 00:04:30,839 Speaker 3: It assumes an initial lump sum investments that's left untouched 69 00:04:31,279 --> 00:04:32,880 Speaker 3: until the end of the period. It's sort of your 70 00:04:32,880 --> 00:04:35,680 Speaker 3: classic buy and hold. Where's a dollar weighted return that 71 00:04:35,800 --> 00:04:39,880 Speaker 3: takes the timing and magnitude of investors purchases and sales 72 00:04:39,920 --> 00:04:43,840 Speaker 3: into account. It doesn't assume people invest in initial lump 73 00:04:43,920 --> 00:04:45,760 Speaker 3: sum and hold it to the end like a total 74 00:04:45,760 --> 00:04:48,200 Speaker 3: return does. And so that's essentially the difference between the 75 00:04:48,240 --> 00:04:48,839 Speaker 3: two measures. 76 00:04:49,400 --> 00:04:52,800 Speaker 2: I've seen some interesting studies on hedge funds and on 77 00:04:52,880 --> 00:04:57,160 Speaker 2: some ETFs where the timeway to return makes it look 78 00:04:57,279 --> 00:05:01,760 Speaker 2: like a manager has done really well, and then when 79 00:05:01,800 --> 00:05:04,520 Speaker 2: you see the dollar way to return, most of the 80 00:05:04,600 --> 00:05:07,920 Speaker 2: assets tend to flow in after they've had a big 81 00:05:08,000 --> 00:05:11,560 Speaker 2: run up after the media has focused on them. Some 82 00:05:11,680 --> 00:05:15,000 Speaker 2: hedge fund managers that look like they have great track 83 00:05:15,080 --> 00:05:17,840 Speaker 2: records in terms of how well they've done for their 84 00:05:18,360 --> 00:05:22,760 Speaker 2: investors are actually net losers over time. Do you see 85 00:05:22,920 --> 00:05:26,320 Speaker 2: things that extreme when you're looking at this data? 86 00:05:26,400 --> 00:05:30,520 Speaker 3: We do, indeed, unfortunately, I will say in aggregate, on 87 00:05:30,720 --> 00:05:33,560 Speaker 3: balance investors have gotten better, and we can talk about 88 00:05:33,560 --> 00:05:35,919 Speaker 3: some of the reasons for that, about capturing more of 89 00:05:35,960 --> 00:05:39,200 Speaker 3: their funds total returns than was formerly the case. But yes, 90 00:05:39,320 --> 00:05:43,200 Speaker 3: we do see some of these vivid examples of investors 91 00:05:43,520 --> 00:05:46,839 Speaker 3: Schematically they're buying high end selling low. You know, it's 92 00:05:47,120 --> 00:05:50,800 Speaker 3: sometimes it's chasing behavior where investors pile in just as 93 00:05:50,800 --> 00:05:52,880 Speaker 3: you describe after a fund goes in a strong run, 94 00:05:52,960 --> 00:05:56,560 Speaker 3: only for performance to roll over, at which point they 95 00:05:56,560 --> 00:05:59,560 Speaker 3: bail out, you know, and that can work in reverse 96 00:06:00,040 --> 00:06:04,279 Speaker 3: where they sell before performance impruse. Both of those things 97 00:06:04,360 --> 00:06:06,920 Speaker 3: would dent their dollar weighted returns compared to the fund's 98 00:06:06,960 --> 00:06:07,560 Speaker 3: total return. 99 00:06:07,920 --> 00:06:10,839 Speaker 2: So it sounds like behavioral factors are a cause for 100 00:06:10,920 --> 00:06:17,160 Speaker 2: investors suffering actually lower returns than their fund's total return. 101 00:06:17,920 --> 00:06:20,839 Speaker 2: What other behaviors do you see that are a net negative? 102 00:06:22,360 --> 00:06:24,440 Speaker 3: You know, I mean I think that you sometimes it 103 00:06:24,480 --> 00:06:28,200 Speaker 3: can be quite mundane where you will see an investor 104 00:06:28,360 --> 00:06:32,120 Speaker 3: or someone you know representing them decide that they want 105 00:06:32,120 --> 00:06:34,320 Speaker 3: to change the asset mix. And so it might not 106 00:06:34,440 --> 00:06:38,000 Speaker 3: be in response to a particular funds performance. It could 107 00:06:38,080 --> 00:06:40,280 Speaker 3: be that for whatever reason, they just decide that they 108 00:06:40,320 --> 00:06:43,160 Speaker 3: want to be positioned differently, and so maybe they put 109 00:06:43,200 --> 00:06:46,520 Speaker 3: more exposure on in an area that's outperformed and take 110 00:06:46,560 --> 00:06:49,680 Speaker 3: some weight off in an area that's underperformed, only to 111 00:06:49,760 --> 00:06:52,919 Speaker 3: see that wrong foot them over subsequent periods. And so 112 00:06:53,240 --> 00:06:56,960 Speaker 3: those are the sorts of decisions behaviors that can give 113 00:06:57,080 --> 00:06:58,360 Speaker 3: rise to gaps. 114 00:06:59,120 --> 00:07:04,640 Speaker 2: Yeah, version is a cruel mistress. What about different types 115 00:07:04,640 --> 00:07:08,720 Speaker 2: of funds when we look at market cap size or 116 00:07:08,760 --> 00:07:13,720 Speaker 2: geography US versus international? How does the gaps form in 117 00:07:13,800 --> 00:07:15,200 Speaker 2: those types of things? 118 00:07:15,800 --> 00:07:18,000 Speaker 3: Great question, Barry. Those are some of the dimensions that 119 00:07:18,040 --> 00:07:20,000 Speaker 3: we look at as part of the study. Sector equity 120 00:07:20,040 --> 00:07:23,800 Speaker 3: funds have chronically suffered the widest gaps in absolute terms. 121 00:07:23,840 --> 00:07:26,640 Speaker 3: In our most recent study, the average dollar invested in 122 00:07:26,680 --> 00:07:29,960 Speaker 3: sector equity funds lagged the funds total returns by one 123 00:07:30,000 --> 00:07:32,360 Speaker 3: and a half percentage points a year over the over 124 00:07:32,400 --> 00:07:34,840 Speaker 3: the decade ended December thirty first, twenty total, which meant 125 00:07:34,880 --> 00:07:38,600 Speaker 3: that investors failed to capture around twenty percent of those 126 00:07:38,640 --> 00:07:42,720 Speaker 3: funds aggregate returns. By contrast, we've seen the narrowest gaps 127 00:07:42,720 --> 00:07:46,680 Speaker 3: among allocation funds in the most popular example of which 128 00:07:46,680 --> 00:07:49,920 Speaker 3: are target date strategies. Those funds barely had an investor 129 00:07:49,960 --> 00:07:53,120 Speaker 3: return gap over those ten years ended December thirty first, 130 00:07:53,120 --> 00:07:55,880 Speaker 3: twenty twenty four. So the other thing, I would notice 131 00:07:55,880 --> 00:07:59,160 Speaker 3: that ETFs had wider gaps than traditional open end funds. 132 00:07:59,440 --> 00:08:01,440 Speaker 3: We include both in the study. Over the ten years 133 00:08:01,440 --> 00:08:04,160 Speaker 3: out of December twenty four, the average shower invested in 134 00:08:04,200 --> 00:08:08,480 Speaker 3: ETFs lag the ets aggregate total return by around one 135 00:08:08,520 --> 00:08:12,520 Speaker 3: point seven percentage points annually, which is equivalent fron eighteen 136 00:08:12,560 --> 00:08:15,520 Speaker 3: percent of the ETF's total returns. Open end funds, by contrast, 137 00:08:15,560 --> 00:08:19,240 Speaker 3: data narrower one point two percentage point per year gap 138 00:08:19,320 --> 00:08:22,480 Speaker 3: over that timeframe. So ETFs are great in a lot 139 00:08:22,480 --> 00:08:24,160 Speaker 3: of different ways. We just want to make sure that 140 00:08:24,160 --> 00:08:26,120 Speaker 3: we use them in the most prudent fashion. 141 00:08:26,480 --> 00:08:30,400 Speaker 2: That makes sense. ETFs are a trading vehicle for some people, 142 00:08:30,440 --> 00:08:33,160 Speaker 2: and we know what the long term results of most 143 00:08:33,160 --> 00:08:36,640 Speaker 2: people's active trading is. Like, I'm curious how do the 144 00:08:36,760 --> 00:08:41,400 Speaker 2: international funds stack up against domestic funds in terms of 145 00:08:41,440 --> 00:08:41,840 Speaker 2: the gap? 146 00:08:43,040 --> 00:08:47,000 Speaker 3: Very good question. The gap was slightly wider for international 147 00:08:47,000 --> 00:08:51,040 Speaker 3: funds than it was for domestic equity funds. So we 148 00:08:51,080 --> 00:08:54,160 Speaker 3: found that there was a one point one percentage point 149 00:08:54,240 --> 00:08:57,360 Speaker 3: annual gap, whereas for US equity it was about half 150 00:08:57,400 --> 00:09:00,200 Speaker 3: that was it was about half a percentage point zero 151 00:09:00,240 --> 00:09:02,680 Speaker 3: point six percentage points to be precise. 152 00:09:03,360 --> 00:09:08,640 Speaker 2: And what role does market volatility play in this gap widening? 153 00:09:08,880 --> 00:09:12,080 Speaker 2: I recall earlier this year when the tasks were rolled 154 00:09:12,080 --> 00:09:15,880 Speaker 2: out in April, we saw a lot of frenetic activity. 155 00:09:16,559 --> 00:09:19,640 Speaker 2: You can help but look at that and imagine very 156 00:09:19,679 --> 00:09:21,160 Speaker 2: few people got that right. 157 00:09:22,240 --> 00:09:25,360 Speaker 3: Yeah, right, you are. Our research has found a correlation 158 00:09:26,080 --> 00:09:29,080 Speaker 3: at a couple levels. At an overall market macro level, 159 00:09:29,080 --> 00:09:32,319 Speaker 3: as you allude to, market fluctuations do tend to push 160 00:09:32,440 --> 00:09:35,160 Speaker 3: investors buttons. They're much likelyer to make changes to their 161 00:09:35,200 --> 00:09:37,839 Speaker 3: holdings and this can work to their detriment and dollar 162 00:09:37,840 --> 00:09:40,880 Speaker 3: weighted terms. We also look at this at an asset 163 00:09:40,960 --> 00:09:44,240 Speaker 3: class level, you know, so US equity, international equity, taxable bonds, 164 00:09:44,240 --> 00:09:47,200 Speaker 3: and on and on. We also find there that the 165 00:09:47,280 --> 00:09:51,040 Speaker 3: more volatile funds of a particular type have been harder 166 00:09:51,080 --> 00:09:55,440 Speaker 3: for investors to successfully use them less volatile funds, and 167 00:09:55,480 --> 00:09:59,080 Speaker 3: so there are wider gaps with those hotter to handle, 168 00:09:59,600 --> 00:10:01,960 Speaker 3: too hard to handle funds that you would find in 169 00:10:02,000 --> 00:10:04,760 Speaker 3: say US equity or taxable bond as compared to their 170 00:10:04,800 --> 00:10:08,840 Speaker 3: more sedate counterparts within those asset classes. And so that's 171 00:10:08,840 --> 00:10:12,160 Speaker 3: been another sort of perennial finding from the study is 172 00:10:12,200 --> 00:10:15,280 Speaker 3: that volatility pushes investors' buttons, and when it does so, 173 00:10:15,600 --> 00:10:18,080 Speaker 3: they tend to capture less of their funds total returns. 174 00:10:18,960 --> 00:10:22,160 Speaker 2: You mentioned target date funds. I tend to think of 175 00:10:22,280 --> 00:10:26,439 Speaker 2: target date funds or balance funds typically in four to 176 00:10:26,440 --> 00:10:30,679 Speaker 2: oh one K or retirement plans where most people have 177 00:10:30,720 --> 00:10:33,800 Speaker 2: a tendency to set and forget and just dollar cost 178 00:10:33,840 --> 00:10:39,760 Speaker 2: average on a regular basis with each paycheck. Generally speaking, 179 00:10:39,800 --> 00:10:43,240 Speaker 2: do we see less of a gap in retirement funds? 180 00:10:43,280 --> 00:10:46,920 Speaker 2: Is it because of the specific long term nature of 181 00:10:46,920 --> 00:10:51,200 Speaker 2: target date funds or the fact that it's a in 182 00:10:51,240 --> 00:10:53,080 Speaker 2: a four to oh one K or four H three B. 183 00:10:53,240 --> 00:10:57,920 Speaker 2: What's the advantage balance funds target date funds have, YEP. 184 00:10:58,120 --> 00:11:01,280 Speaker 3: I would say there's two principal advantages. One is contextual, 185 00:11:01,360 --> 00:11:04,880 Speaker 3: the other is related to the attributes the characteristics of 186 00:11:04,920 --> 00:11:08,800 Speaker 3: those strategies. Let's talk context first. They're most often used 187 00:11:08,840 --> 00:11:11,840 Speaker 3: in the context of a retirement plan. It's a gilded 188 00:11:11,880 --> 00:11:15,560 Speaker 3: cage of sorts. It's really meant for investors to go 189 00:11:15,640 --> 00:11:18,679 Speaker 3: in and save and compound over time, not for them 190 00:11:18,720 --> 00:11:21,240 Speaker 3: to wheel around as they might in a brokerage account. 191 00:11:21,440 --> 00:11:24,480 Speaker 3: Then let's talk about the characteristics of those vehicles. As 192 00:11:24,559 --> 00:11:29,360 Speaker 3: you reference, they're highly automated, They take care of rebalancing, 193 00:11:29,400 --> 00:11:33,079 Speaker 3: they adjust the asset mix as time goes on. They 194 00:11:33,080 --> 00:11:35,120 Speaker 3: are as you put it, set it, and forget it, 195 00:11:35,440 --> 00:11:39,200 Speaker 3: and that has worked to investors benefit. We found that 196 00:11:39,400 --> 00:11:43,959 Speaker 3: investors in allocation funds they captured essentially all of their 197 00:11:44,000 --> 00:11:46,800 Speaker 3: funds total returns. That is, there was almost no gap 198 00:11:46,920 --> 00:11:50,360 Speaker 3: among allocation funds over the ten year study period that 199 00:11:50,440 --> 00:11:52,840 Speaker 3: we were focused on. And so I think that's one 200 00:11:52,880 --> 00:11:55,120 Speaker 3: of the most heartening stories to come out of our 201 00:11:55,120 --> 00:11:57,920 Speaker 3: research is the fact that it seems that investors in 202 00:11:58,000 --> 00:12:01,320 Speaker 3: retirement plans are specifically those who invest in allocation funds, 203 00:12:01,520 --> 00:12:05,000 Speaker 3: have enjoyed some of the greatest success and that's crucial 204 00:12:05,040 --> 00:12:06,319 Speaker 3: to their retirement security. 205 00:12:06,880 --> 00:12:10,959 Speaker 2: So give investors some practical advice, what sort of steps 206 00:12:11,000 --> 00:12:14,760 Speaker 2: can they take to minimize the gap capture more of 207 00:12:14,800 --> 00:12:17,880 Speaker 2: their investing funds long term returns. 208 00:12:18,480 --> 00:12:20,760 Speaker 3: Yeah, it's a great question. So it might sound a 209 00:12:20,800 --> 00:12:23,320 Speaker 3: bit tripe, but I would say, have a plan and 210 00:12:23,480 --> 00:12:26,200 Speaker 3: automate as much of it as you can. Investors, they 211 00:12:26,240 --> 00:12:28,360 Speaker 3: tend to get themselves in trouble when they engage in 212 00:12:29,280 --> 00:12:32,920 Speaker 3: off cycle discretionary ad hoc type of trading. You know 213 00:12:33,040 --> 00:12:36,240 Speaker 3: what might that happen is you can probably imagine it's 214 00:12:36,400 --> 00:12:39,120 Speaker 3: likelier to occur when there's some sort of market disruption 215 00:12:39,320 --> 00:12:42,040 Speaker 3: or tumult or a minimania. But if you have a 216 00:12:42,080 --> 00:12:45,280 Speaker 3: plan and you've appropriately allocated your assets based on that plan, 217 00:12:45,679 --> 00:12:48,280 Speaker 3: you know, widely diversifying across asset, then you have an 218 00:12:48,280 --> 00:12:51,240 Speaker 3: anchor or a point of orientation, whereas without it you 219 00:12:51,320 --> 00:12:55,079 Speaker 3: might feel like you're at c You know, also, because 220 00:12:55,080 --> 00:12:58,680 Speaker 3: you've spread out for the plan diversifying, why you're less 221 00:12:58,760 --> 00:13:01,360 Speaker 3: likely to experience the brunt of a sell off and 222 00:13:02,280 --> 00:13:05,600 Speaker 3: experience the kind of ruin US outcome that might induce panic. 223 00:13:06,360 --> 00:13:09,040 Speaker 3: Automating is the other key. I would say. You know 224 00:13:09,240 --> 00:13:11,880 Speaker 3: what we know about target date funds is they're held 225 00:13:11,880 --> 00:13:14,280 Speaker 3: in retirement plans. Yes, but also they obviate the need 226 00:13:14,480 --> 00:13:18,160 Speaker 3: for investors to take action to rebalance or to adjust 227 00:13:18,200 --> 00:13:20,800 Speaker 3: the asset mix as they were near the retirement date. 228 00:13:21,720 --> 00:13:24,560 Speaker 3: And that's because those features are built in, so, you know, 229 00:13:24,679 --> 00:13:26,480 Speaker 3: I think one of the other clear takeaways from the 230 00:13:26,520 --> 00:13:28,600 Speaker 3: research is that automation narrows gaps. 231 00:13:29,120 --> 00:13:33,480 Speaker 2: So to wrap up, investors can avoid the investor gap. 232 00:13:33,880 --> 00:13:38,400 Speaker 2: They can avoid underperforming their own mutual funds and ETFs 233 00:13:38,960 --> 00:13:43,280 Speaker 2: by simply having a couple of common sense steps put 234 00:13:43,320 --> 00:13:48,120 Speaker 2: into place. Don't let volatility distract you. Don't try and 235 00:13:48,320 --> 00:13:52,640 Speaker 2: buy or sell when markets get frothy, don't think you're 236 00:13:52,679 --> 00:13:56,160 Speaker 2: going to be able to time the market. And perhaps 237 00:13:56,320 --> 00:13:59,960 Speaker 2: most important of all, you have to have a plan 238 00:14:00,200 --> 00:14:02,360 Speaker 2: and you have to be able to keep your emotions 239 00:14:02,400 --> 00:14:06,079 Speaker 2: at bay, otherwise you're going to fall into the unfortunate 240 00:14:06,160 --> 00:14:12,160 Speaker 2: fate of underperforming your own investments. I'm Barry Ridolts. You're 241 00:14:12,240 --> 00:14:27,200 Speaker 2: listening to Bloomberg's At the Money