Aug 28, 2017 · 1h 7m · capital-allocators

Dan Egan – Better Investment Outcomes (Capital Allocators, EP.23)

Dan Egan · 49m spoken Ted Seides · 13m spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Dan Egan, Director of Behavioral Finance and Investing at Betterment, joins Ted Seides to explain how quantitative behavioral economics, automated tax management, and intentional interface design optimize investor outcomes. The conversation explores algorithmic rebalancing, crisis communication strategies, and the engineering required to scale fiduciary wealth management.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 21.5% of the talking time here. How this is scored →

Ted as informed peer 4.0 Guest teaching 5.6 Guest disagreement 0.8 Ted pushing back 0.9
05100:0015:0030:0045:001:00:005:34–8:41 · Ted as informed peer 3/10 Dan Egan's Academic Path and Early Career Ted opens with a friendly analogy comparing Dan's career path to Gladwell's Outliers. Dan explains his background combining economics and cognitive psychology to study decision-making.8:41–14:55 · Ted as informed peer 4/10 Applied Behavioral Finance and Tax Impact Preview Ted asks how Dan translates scientific research into automated behavioral tools. Dan details his previous experience at Barclays Wealth and reveals data from Betterment's Tax Impact Preview test.14:55–17:26 · Ted as informed peer 4/10 Betterment's Core Portfolio Framework and Glidepaths Ted inquires into Betterment's core portfolio construction philosophy and asset class coverage. Dan explains their market-cap weighting with factor tilts and liability-driven glidepaths.17:26–21:23 · Ted as informed peer 5/10 The Mechanics and Compounding Power of Tax Loss Harvesting Ted challenges the conventional wisdom of tax loss harvesting over long horizons, arguing that embedded gains eliminate harvesting opportunities. Dan corrects him by showing how benefits compound monotonically through tax rate arbitrage, reinvestment, and inflation.21:24–24:06 · Ted as informed peer 4/10 Automated Rebalancing and Drift Threshold Management Ted asks about the practical and institutional differences in rebalancing methods. Dan explains their 3% drift threshold algorithm and how deposit allocation avoids taxable events.24:06–29:17 · Ted as informed peer 4/10 Communicating Complex Strategies to Diverse Client Segments Dan describes designing UI to prevent panic selling, such as withholding individual stock volatility and using forward-looking color palettes rather than past performance cues.29:17–31:51 · Ted as informed peer 3/10 Mental Accounting, Shifting Goals, and Decumulation Ted asks about client demographic drift and changing financial goals. Dan explains how mental accounting and labeling goal buckets aids both disciplined saving and comfortable decumulation.31:51–37:10 · Ted as informed peer 4/10 Managing Investor Behavior During Market Drawdowns Ted questions how robo-advisors survive market crashes without live hand-holding. Dan shares empirical data on customer communication experiments during market pullbacks.37:10–41:11 · Ted as informed peer 3/10 Commitment Devices and Crisis Desensitization Tools Dan discusses developing commitment devices and crisis desensitization simulations to train investors before volatility hits.41:11–46:28 · Ted as informed peer 5/10 Active vs. Passive Investing and the Power of Savings Rates Dan strongly dismisses the active vs. passive debate as dead-weight loss for everyday investors, proving that saving an extra $33 a month outweighs finding a 1% alpha manager.46:28–48:48 · Ted as informed peer 4/10 Integrating Human Financial Planners to Automate Advisory Systems Ted inquires why Betterment hired live CFPs. Dan clarifies that human advisors are used to triage non-scalable questions and help codify new algorithms to automate their own tasks.48:49–51:02 · Ted as informed peer 5/10 Professional vs. Personal Portfolio Management and Feedback Loops Ted observes that professional investors often abandon discipline in their personal accounts. Dan attributes this to emotional feedback loops and lack of negative accountability.51:02–55:53 · Ted as informed peer 4/10 Betterment's Identity: Technology Firm with a Fiduciary Mission Ted probes Betterment's identity tension between being an asset manager and a technology company. Dan discusses team composition, hiring for cognitive diversity, and fiduciary duty.55:54–58:51 · Ted as informed peer 4/10 Future Frontiers: Algorithmic Personalization and Granular Feedback Dan details upcoming research frontiers, including algorithmic personalization of UI and tight decision feedback loops to help retail investors trade less.5:34–8:41 · Guest teaching 3/10 Dan Egan's Academic Path and Early Career Ted opens with a friendly analogy comparing Dan's career path to Gladwell's Outliers. Dan explains his background combining economics and cognitive psychology to study decision-making.8:41–14:55 · Guest teaching 6/10 Applied Behavioral Finance and Tax Impact Preview Ted asks how Dan translates scientific research into automated behavioral tools. Dan details his previous experience at Barclays Wealth and reveals data from Betterment's Tax Impact Preview test.14:55–17:26 · Guest teaching 5/10 Betterment's Core Portfolio Framework and Glidepaths Ted inquires into Betterment's core portfolio construction philosophy and asset class coverage. Dan explains their market-cap weighting with factor tilts and liability-driven glidepaths.17:26–21:23 · Guest teaching 8/10 The Mechanics and Compounding Power of Tax Loss Harvesting Ted challenges the conventional wisdom of tax loss harvesting over long horizons, arguing that embedded gains eliminate harvesting opportunities. Dan corrects him by showing how benefits compound monotonically through tax rate arbitrage, reinvestment, and inflation.21:24–24:06 · Guest teaching 5/10 Automated Rebalancing and Drift Threshold Management Ted asks about the practical and institutional differences in rebalancing methods. Dan explains their 3% drift threshold algorithm and how deposit allocation avoids taxable events.24:06–29:17 · Guest teaching 6/10 Communicating Complex Strategies to Diverse Client Segments Dan describes designing UI to prevent panic selling, such as withholding individual stock volatility and using forward-looking color palettes rather than past performance cues.29:17–31:51 · Guest teaching 6/10 Mental Accounting, Shifting Goals, and Decumulation Ted asks about client demographic drift and changing financial goals. Dan explains how mental accounting and labeling goal buckets aids both disciplined saving and comfortable decumulation.31:51–37:10 · Guest teaching 6/10 Managing Investor Behavior During Market Drawdowns Ted questions how robo-advisors survive market crashes without live hand-holding. Dan shares empirical data on customer communication experiments during market pullbacks.37:10–41:11 · Guest teaching 6/10 Commitment Devices and Crisis Desensitization Tools Dan discusses developing commitment devices and crisis desensitization simulations to train investors before volatility hits.41:11–46:28 · Guest teaching 7/10 Active vs. Passive Investing and the Power of Savings Rates Dan strongly dismisses the active vs. passive debate as dead-weight loss for everyday investors, proving that saving an extra $33 a month outweighs finding a 1% alpha manager.46:28–48:48 · Guest teaching 5/10 Integrating Human Financial Planners to Automate Advisory Systems Ted inquires why Betterment hired live CFPs. Dan clarifies that human advisors are used to triage non-scalable questions and help codify new algorithms to automate their own tasks.48:49–51:02 · Guest teaching 5/10 Professional vs. Personal Portfolio Management and Feedback Loops Ted observes that professional investors often abandon discipline in their personal accounts. Dan attributes this to emotional feedback loops and lack of negative accountability.51:02–55:53 · Guest teaching 5/10 Betterment's Identity: Technology Firm with a Fiduciary Mission Ted probes Betterment's identity tension between being an asset manager and a technology company. Dan discusses team composition, hiring for cognitive diversity, and fiduciary duty.55:54–58:51 · Guest teaching 6/10 Future Frontiers: Algorithmic Personalization and Granular Feedback Dan details upcoming research frontiers, including algorithmic personalization of UI and tight decision feedback loops to help retail investors trade less.5:34–8:41 · Guest disagreement 1/10 Dan Egan's Academic Path and Early Career Ted opens with a friendly analogy comparing Dan's career path to Gladwell's Outliers. Dan explains his background combining economics and cognitive psychology to study decision-making.8:41–14:55 · Guest disagreement 1/10 Applied Behavioral Finance and Tax Impact Preview Ted asks how Dan translates scientific research into automated behavioral tools. Dan details his previous experience at Barclays Wealth and reveals data from Betterment's Tax Impact Preview test.14:55–17:26 · Guest disagreement 0/10 Betterment's Core Portfolio Framework and Glidepaths Ted inquires into Betterment's core portfolio construction philosophy and asset class coverage. Dan explains their market-cap weighting with factor tilts and liability-driven glidepaths.17:26–21:23 · Guest disagreement 2/10 The Mechanics and Compounding Power of Tax Loss Harvesting Ted challenges the conventional wisdom of tax loss harvesting over long horizons, arguing that embedded gains eliminate harvesting opportunities. Dan corrects him by showing how benefits compound monotonically through tax rate arbitrage, reinvestment, and inflation.21:24–24:06 · Guest disagreement 0/10 Automated Rebalancing and Drift Threshold Management Ted asks about the practical and institutional differences in rebalancing methods. Dan explains their 3% drift threshold algorithm and how deposit allocation avoids taxable events.24:06–29:17 · Guest disagreement 1/10 Communicating Complex Strategies to Diverse Client Segments Dan describes designing UI to prevent panic selling, such as withholding individual stock volatility and using forward-looking color palettes rather than past performance cues.29:17–31:51 · Guest disagreement 0/10 Mental Accounting, Shifting Goals, and Decumulation Ted asks about client demographic drift and changing financial goals. Dan explains how mental accounting and labeling goal buckets aids both disciplined saving and comfortable decumulation.31:51–37:10 · Guest disagreement 1/10 Managing Investor Behavior During Market Drawdowns Ted questions how robo-advisors survive market crashes without live hand-holding. Dan shares empirical data on customer communication experiments during market pullbacks.37:10–41:11 · Guest disagreement 0/10 Commitment Devices and Crisis Desensitization Tools Dan discusses developing commitment devices and crisis desensitization simulations to train investors before volatility hits.41:11–46:28 · Guest disagreement 3/10 Active vs. Passive Investing and the Power of Savings Rates Dan strongly dismisses the active vs. passive debate as dead-weight loss for everyday investors, proving that saving an extra $33 a month outweighs finding a 1% alpha manager.46:28–48:48 · Guest disagreement 0/10 Integrating Human Financial Planners to Automate Advisory Systems Ted inquires why Betterment hired live CFPs. Dan clarifies that human advisors are used to triage non-scalable questions and help codify new algorithms to automate their own tasks.48:49–51:02 · Guest disagreement 1/10 Professional vs. Personal Portfolio Management and Feedback Loops Ted observes that professional investors often abandon discipline in their personal accounts. Dan attributes this to emotional feedback loops and lack of negative accountability.51:02–55:53 · Guest disagreement 0/10 Betterment's Identity: Technology Firm with a Fiduciary Mission Ted probes Betterment's identity tension between being an asset manager and a technology company. Dan discusses team composition, hiring for cognitive diversity, and fiduciary duty.55:54–58:51 · Guest disagreement 1/10 Future Frontiers: Algorithmic Personalization and Granular Feedback Dan details upcoming research frontiers, including algorithmic personalization of UI and tight decision feedback loops to help retail investors trade less.5:34–8:41 · Ted pushing back 0/10 Dan Egan's Academic Path and Early Career Ted opens with a friendly analogy comparing Dan's career path to Gladwell's Outliers. Dan explains his background combining economics and cognitive psychology to study decision-making.8:41–14:55 · Ted pushing back 1/10 Applied Behavioral Finance and Tax Impact Preview Ted asks how Dan translates scientific research into automated behavioral tools. Dan details his previous experience at Barclays Wealth and reveals data from Betterment's Tax Impact Preview test.14:55–17:26 · Ted pushing back 0/10 Betterment's Core Portfolio Framework and Glidepaths Ted inquires into Betterment's core portfolio construction philosophy and asset class coverage. Dan explains their market-cap weighting with factor tilts and liability-driven glidepaths.17:26–21:23 · Ted pushing back 4/10 The Mechanics and Compounding Power of Tax Loss Harvesting Ted challenges the conventional wisdom of tax loss harvesting over long horizons, arguing that embedded gains eliminate harvesting opportunities. Dan corrects him by showing how benefits compound monotonically through tax rate arbitrage, reinvestment, and inflation.21:24–24:06 · Ted pushing back 1/10 Automated Rebalancing and Drift Threshold Management Ted asks about the practical and institutional differences in rebalancing methods. Dan explains their 3% drift threshold algorithm and how deposit allocation avoids taxable events.24:06–29:17 · Ted pushing back 0/10 Communicating Complex Strategies to Diverse Client Segments Dan describes designing UI to prevent panic selling, such as withholding individual stock volatility and using forward-looking color palettes rather than past performance cues.29:17–31:51 · Ted pushing back 0/10 Mental Accounting, Shifting Goals, and Decumulation Ted asks about client demographic drift and changing financial goals. Dan explains how mental accounting and labeling goal buckets aids both disciplined saving and comfortable decumulation.31:51–37:10 · Ted pushing back 1/10 Managing Investor Behavior During Market Drawdowns Ted questions how robo-advisors survive market crashes without live hand-holding. Dan shares empirical data on customer communication experiments during market pullbacks.37:10–41:11 · Ted pushing back 0/10 Commitment Devices and Crisis Desensitization Tools Dan discusses developing commitment devices and crisis desensitization simulations to train investors before volatility hits.41:11–46:28 · Ted pushing back 2/10 Active vs. Passive Investing and the Power of Savings Rates Dan strongly dismisses the active vs. passive debate as dead-weight loss for everyday investors, proving that saving an extra $33 a month outweighs finding a 1% alpha manager.46:28–48:48 · Ted pushing back 1/10 Integrating Human Financial Planners to Automate Advisory Systems Ted inquires why Betterment hired live CFPs. Dan clarifies that human advisors are used to triage non-scalable questions and help codify new algorithms to automate their own tasks.48:49–51:02 · Ted pushing back 2/10 Professional vs. Personal Portfolio Management and Feedback Loops Ted observes that professional investors often abandon discipline in their personal accounts. Dan attributes this to emotional feedback loops and lack of negative accountability.51:02–55:53 · Ted pushing back 0/10 Betterment's Identity: Technology Firm with a Fiduciary Mission Ted probes Betterment's identity tension between being an asset manager and a technology company. Dan discusses team composition, hiring for cognitive diversity, and fiduciary duty.55:54–58:51 · Ted pushing back 0/10 Future Frontiers: Algorithmic Personalization and Granular Feedback Dan details upcoming research frontiers, including algorithmic personalization of UI and tight decision feedback loops to help retail investors trade less.

speaking balance: gold is Ted, purple is the guest (3 minute bins)

0:00 · Ted 100% · guest 0%0:00 · Ted 100% · guest 0%3:00 · Ted 99.1% · guest 0.9%3:00 · Ted 99.1% · guest 0.9%6:00 · Ted 14% · guest 86%6:00 · Ted 14% · guest 86%9:00 · Ted 13.2% · guest 86.8%9:00 · Ted 13.2% · guest 86.8%12:00 · Ted 10.3% · guest 89.7%12:00 · Ted 10.3% · guest 89.7%15:00 · Ted 14.4% · guest 85.6%15:00 · Ted 14.4% · guest 85.6%18:00 · Ted 10.4% · guest 89.6%18:00 · Ted 10.4% · guest 89.6%21:00 · Ted 11.7% · guest 88.3%21:00 · Ted 11.7% · guest 88.3%24:00 · Ted 21.6% · guest 78.4%24:00 · Ted 21.6% · guest 78.4%27:00 · Ted 17.9% · guest 82.1%27:00 · Ted 17.9% · guest 82.1%30:00 · Ted 8.7% · guest 91.3%30:00 · Ted 8.7% · guest 91.3%33:00 · Ted 2.2% · guest 97.8%33:00 · Ted 2.2% · guest 97.8%36:00 · Ted 3.6% · guest 96.4%36:00 · Ted 3.6% · guest 96.4%39:00 · Ted 22.2% · guest 77.8%39:00 · Ted 22.2% · guest 77.8%42:00 · Ted 12.8% · guest 87.2%42:00 · Ted 12.8% · guest 87.2%45:00 · Ted 27.7% · guest 72.3%45:00 · Ted 27.7% · guest 72.3%48:00 · Ted 18.4% · guest 81.6%48:00 · Ted 18.4% · guest 81.6%51:00 · Ted 27.5% · guest 72.5%51:00 · Ted 27.5% · guest 72.5%54:00 · Ted 9.3% · guest 90.7%54:00 · Ted 9.3% · guest 90.7%57:00 · Ted 7.9% · guest 92.1%57:00 · Ted 7.9% · guest 92.1%1:00:00 · Ted 4.6% · guest 95.4%1:00:00 · Ted 4.6% · guest 95.4%1:03:00 · Ted 6.5% · guest 93.5%1:03:00 · Ted 6.5% · guest 93.5%1:06:00 · Ted 37.3% · guest 62.7%1:06:00 · Ted 37.3% · guest 62.7%
Sharpest disagreement ▶ 41:18 Dismissing active vs passive as a distraction

Dan forcefully rejects the premise that active vs passive debates matter for individuals, calling all the ink spilled on it a total dead-weight loss.

Hardest push from Ted ▶ 19:29 Questioning long-term TLH compounding

Ted directly challenges the value proposition of tax loss harvesting over multi-decade horizons, arguing that accrued gains eliminate opportunities.

Biggest teaching moment ▶ 19:47 Mathematical breakdown of tax loss harvesting value

Dan systematically reframes Ted's skepticism by outlining the three convex compounding mechanics: ordinary tax arbitrage, reinvestment, and inflation erosion of future tax liabilities.

Ted holds their own ▶ 45:16 Equating retail and endowment behavioral thresholds

Ted connects Dan's retail principles to institutional reality, asserting that regardless of sophistication, endowment boards and retail investors cut investments at the exact same pain threshold.

the scores for every segment, with the reasoning behind each
ChapterTopicTed as informed peerGuest teachingGuest disagreementTed pushing backWhy
Dan Egan's Academic Path and Early Career 3310 Ted opens with a friendly analogy comparing Dan's career path to Gladwell's Outliers. Dan explains his background combining economics and cognitive psychology to study decision-making.
Applied Behavioral Finance and Tax Impact Preview 4611 Ted asks how Dan translates scientific research into automated behavioral tools. Dan details his previous experience at Barclays Wealth and reveals data from Betterment's Tax Impact Preview test.
Betterment's Core Portfolio Framework and Glidepaths 4500 Ted inquires into Betterment's core portfolio construction philosophy and asset class coverage. Dan explains their market-cap weighting with factor tilts and liability-driven glidepaths.
The Mechanics and Compounding Power of Tax Loss Harvesting 5824 Ted challenges the conventional wisdom of tax loss harvesting over long horizons, arguing that embedded gains eliminate harvesting opportunities. Dan corrects him by showing how benefits compound monotonically through tax rate arbitrage, reinvestment, and inflation.
Automated Rebalancing and Drift Threshold Management 4501 Ted asks about the practical and institutional differences in rebalancing methods. Dan explains their 3% drift threshold algorithm and how deposit allocation avoids taxable events.
Communicating Complex Strategies to Diverse Client Segments 4610 Dan describes designing UI to prevent panic selling, such as withholding individual stock volatility and using forward-looking color palettes rather than past performance cues.
Mental Accounting, Shifting Goals, and Decumulation 3600 Ted asks about client demographic drift and changing financial goals. Dan explains how mental accounting and labeling goal buckets aids both disciplined saving and comfortable decumulation.
Managing Investor Behavior During Market Drawdowns 4611 Ted questions how robo-advisors survive market crashes without live hand-holding. Dan shares empirical data on customer communication experiments during market pullbacks.
Commitment Devices and Crisis Desensitization Tools 3600 Dan discusses developing commitment devices and crisis desensitization simulations to train investors before volatility hits.
Active vs. Passive Investing and the Power of Savings Rates 5732 Dan strongly dismisses the active vs. passive debate as dead-weight loss for everyday investors, proving that saving an extra $33 a month outweighs finding a 1% alpha manager.
Integrating Human Financial Planners to Automate Advisory Systems 4501 Ted inquires why Betterment hired live CFPs. Dan clarifies that human advisors are used to triage non-scalable questions and help codify new algorithms to automate their own tasks.
Professional vs. Personal Portfolio Management and Feedback Loops 5512 Ted observes that professional investors often abandon discipline in their personal accounts. Dan attributes this to emotional feedback loops and lack of negative accountability.
Betterment's Identity: Technology Firm with a Fiduciary Mission 4500 Ted probes Betterment's identity tension between being an asset manager and a technology company. Dan discusses team composition, hiring for cognitive diversity, and fiduciary duty.
Future Frontiers: Algorithmic Personalization and Granular Feedback 4610 Dan details upcoming research frontiers, including algorithmic personalization of UI and tight decision feedback loops to help retail investors trade less.

Statements from this episode (24)

Insight
Egan: Behavioral Finance Knowledge Does Not Stop Irrational Decision-Making
“It doesn't stop you from having all of those issues. It doesn't stop you from making irrational decisions. It doesn't make you some sort of super rational person. It just does give you a framework of saying, okay, this is why this is happening. This is how thi…”
Dan Egan Aug 28, 2017 ▶ 8:18
Assertion Supported
Egan: Betterment tax impact previews reduced trade completion rates by 70%
“And what we found was that if we showed them a positive tax number, they were about 70% less likely to go through with a transaction. If you look at transactions that would have incurred 50 dollars or more in taxes, the completion rate was somewhere around eig…”
Dan Egan Aug 28, 2017 ▶ 13:44
Insight
Egan: Changing portfolio allocations trades certain tax costs for uncertain benefits
“Taxes represent a fairly certain cost. Whereas, generally when people are changing their allocation, they're looking at an uncertain future benefit. So, if I reduce my risk today, I think that at some point over the next year, markets will drop, and I will hav…”
Dan Egan Aug 28, 2017 ▶ 14:17
Insight
Egan: Tax loss harvesting is most valuable during an investor's first decade
“So strictly speaking, the value of tax loss harvesting grows over time monotonically, but it is convex. So the tax loss harvesting you do the first sort of 10 years of your life will be the most valuable tax loss harvesting you ever do. It will continue to be …”
Dan Egan Aug 28, 2017 ▶ 19:52
Insight
Egan: Tax loss harvesting acts as structural arbitrage on tax rates
“So generally speaking, you are using investment losses to offset ordinary income. Ordinary income is your highest marginal tax rate. You embed a tax gain in the portfolio that you then pay off generally 20 or 30 years in the future, and that's going to be the …”
Dan Egan Aug 28, 2017 ▶ 20:23
Insight
Egan: Marginal gains from over-optimizing rebalancing methodology are very low
“The marginal gains from thinking about rebalancing too much are really low. As long as you think about, like, the tax component of it, and you're not letting your asset allocation get crazy, You're fine. If it's daily, quarterly, monthly, annually, drift-based…”
Dan Egan Aug 28, 2017 ▶ 23:13
Insight
Egan: Only 5% of Investors Demand Deep Technical Due Diligence
“I would say five percent of the population is going to be a sophisticated investor, and they want to know how we do it, and how we calculate the benefit, and everything that you would think is sort of good due diligence on it. The other 95% of people want to t…”
Dan Egan Aug 28, 2017 ▶ 24:54
Insight
Egan: Wealth platforms must build for 5% of experts to win 95%
“The 95% of normal people, they're asking the five percent of people who they should use. So you can't simply say, oh, well, we'll just target on the 95%. You actually have to provide the transparency and knowledge for the five percent of sophisticated people t…”
Dan Egan Aug 28, 2017 ▶ 25:40
Disclosure
Egan: Betterment hides individual security returns to enforce diversified portfolio framing
“One good example is that we don't show individual item, individual security returns. You can only ever see the returns of your diversified portfolio.”
Dan Egan Aug 28, 2017 ▶ 26:43
Insight
Egan: Advisors cannot implement behavioral finance without controlling software interfaces
“They might want to implement some of these insights from behavioral finance, but unless you control the technology, it's very hard for you to do that.”
Dan Egan Aug 28, 2017 ▶ 27:03
Insight
Egan: Retirees struggle psychologically to spend down accumulated portfolios
“If you talk to financial planners, especially who work with retirees, one of the biggest problems is that they have a really hard time spending down their portfolio.”
Dan Egan Aug 28, 2017 ▶ 30:24
Insight
Egan: Earmarking accounts for virtuous goals stops people from raiding them
“There's a whole line of brilliant research on goal-based investing that says, if you title this goal, Bobby's college fund, you are dramatically less likely to take money out from there and go to Vegas. If you name it in your market for a virtuous thing, that …”
Dan Egan Aug 28, 2017 ▶ 31:05
Insight
Egan: Telling panicking investors to do nothing is the worst strategy
“So the worst thing you can ever do if somebody's freaking out to say, stop, don't do anything, sit still, et cetera. You have to take that anxiety and that energy and redirect it towards more positive things.”
Dan Egan Aug 28, 2017 ▶ 34:06
Assertion Not checkable as stated
Egan: In-app crisis popups reduced negative investing behaviors by 15% at Betterment
“And we found that that simple, easy thing to do, just a pop-up notification, reduced the bad behaviors by about 15% and increased deposits by about 10 or 12%.”
Dan Egan Aug 28, 2017 ▶ 36:12
Disclosure
Egan: Betterment will not make capacity-constrained hedge funds a core offering
“I don't foresee us Making that a core part of our value prop. If only because our mission is to democratize a lot of the higher end wealth management things. And those are almost always capacity constrained or exclusivity plays, right?”
Dan Egan Aug 28, 2017 ▶ 39:34
Insight
Egan: Searching for manager alpha is only worthwhile with millions in assets
“However many hours you spend trying to find the right manager, or trying to find the right strategy and understand what this stuff is doing, is not well spent unless you already have a very, very large asset base. I'm talking in the millions, at least.”
Dan Egan Aug 28, 2017 ▶ 41:45
Assertion Not publicly verifiable
Egan: Saving $33 more monthly matches 1% annual manager alpha for averages
“He basically found that for that person, in order to, if that person went with finding out how to, you know, save more or invest more, rather than pick the better manager, they would need to save something like 33 more dollars per month. So, that's the trade-o…”
Dan Egan Aug 28, 2017 ▶ 42:41
Insight
Egan: Excitement about an investment is a warning sign for investors
“If you're excited about what you're investing in, you should worry. Right? If you're kind of like, oh, I'm doing this thing, it's pretty standard, you know, like, it's not very exciting, you're gonna stick with it. You don't, you're not motivated to monitor it…”
Dan Egan Aug 28, 2017 ▶ 45:48
Disclosure
Egan: Betterment employs human advisors primarily to study and automate their jobs
“In the longer term, to be clear, We are going to keep automating a large part of that. So it is not simply a matter of, oh, we hit some brick wall and we had, you know, we ended up having to use advisors. Every single financial planner or licensed expert on ou…”
Dan Egan Aug 28, 2017 ▶ 47:40
Insight
Egan: Personal investing lacks accountability because investors cannot fire themselves
“Giving advice and being responsible for somebody else's money is different than what you do with your own. So I know people who have made bets on Bitcoin or various other things that lost tons of money, and if they were an advisor, they would be fired, but you…”
Dan Egan Aug 28, 2017 ▶ 49:28
Insight
Egan: Many professional investors enjoy investing personal capital as entertainment
“I think that's where a lot of professional investors, they enjoy the doing more than they care about the outcome of it.”
Dan Egan Aug 28, 2017 ▶ 50:09
Assertion Not checkable as stated
Egan: Betterment employs 120 software engineers and only 8 finance professionals
“There are maybe eight people here who come from a finance background out of 250 employees, whereas there are probably at least a 120 software engineers.”
Dan Egan Aug 28, 2017 ▶ 51:41
Prediction Didn’t hold up
Egan: Betterment Aims to Be First Fiduciary Advisor to IPO
“I think that's, in the long run, what we see ourselves as being, is The first company that goes public off the back of being a fiduciary advisor rather than a broker or mutual fund company.”
Dan Egan Aug 28, 2017 ▶ 52:17
Insight
Egan: Non-Professional Investors Suffer From Poor Feedback Loops
“The vast, vast majority of investors, unless you're in a professional shop, you have a very low quality feedback loop about how well you're doing. The only people who have really high quality feedback loops are professional PNs, sometimes analysts, who get lik…”
Dan Egan Aug 28, 2017 ▶ 57:02
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