Episode 284: Prof. Scott Cederburg: Challenging the Status Quo on Lifecycle Asset Allocation

21 Dec 2023 · 1 h 9 min

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Rational Reminder Podcast Episode 284 Summary

Episode Overview Title: Episode 284: Prof. Scott Cederburg: Challenging the Status Quo on Lifecycle Asset Allocation Hosts: Benjamin Felix, Cameron Passmore, Dan Bortolotti Guest: Professor Scott Cederburg, Associate Professor of Finance at the University of Arizona Description: Professor Cederburg discusses his groundbreaking paper on lifecycle asset allocation, challenging traditional investing wisdom and offering new insights on retirement planning.

Key Points from the Episode

Introduction

  • Background on Professor Cederburg (0:00:00)
  • Previous guest on Episode 224.
  • Earned a PhD in finance from the University of Iowa.

Central Themes of the Paper

  • Challenges to Lifecycle Investing (0:03:38)
  • Traditional advice includes:
  • Diversification across stocks and bonds.
  • Age-based stock-bond allocation (e.g., 100 minus age).
  • Cederburg argues these approaches may not be optimal.

Methodology

  • Novel Approach (0:06:56)
  • Focus on real returns (adjusted for inflation).
  • Modeling of long-term investor scenarios (up to age 100).
  • Data includes a broader set of developed countries to enhance analysis.

Findings

  • Evaluation Metrics (0:13:56)
  • Wealth at retirement.
  • Retirement income from savings and Social Security.
  • Probability of running out of money (ruin probability).
  • Potential bequest at death.
  • Performance of Asset Allocation Strategies (0:15:49)
  • Target Date Funds (TDFs) vs. all-equity strategies.
  • All-equity portfolios outperform TDFs in terms of wealth accumulation.
  • Internationally diversified stocks (50% domestic, 50% international) shown to be safer during retirement.

Risk Considerations

  • Drawdowns and Volatility (0:35:33)
  • All-equity strategies face larger drawdowns but recover better over time.
  • Bonds may seem safe but can erode wealth due to inflation.

Behavioral Insights

  • Investor Behavior Impact (0:42:15)
  • Sequence of returns risk and its effect on retirees.
  • Emotional decision-making during market volatility can lead to poor investment outcomes.

Comparative Analysis

  • Home Country Bias (0:52:12)
  • Optimal allocation favors domestic stocks but includes significant international exposure.
  • Currency fluctuations can impact investment performance.

Conclusion of Findings

  • Implications for Financial Advisors (1:02:07)
  • Need for a shift in how lifecycle investing is discussed.
  • Emphasizing long-term strategies and behavioral considerations.
  • Reinforcing the importance of understanding historical data and modeling long-term returns.

Key Takeaways

  • Traditional lifecycle investing advice may need reevaluation.
  • Long-term stock investments can reduce the probability of running out of funds in retirement.
  • Behavioral biases significantly influence investment decisions, emphasizing the need for advisors to educate clients on the importance of maintaining long-term strategies.

Links for Further Exploration

  • [Professor Scott Cederburg's Profile](https://eller.arizona.edu/people/scott-cederburg)
  • [Listen to the Rational Reminder Podcast on iTunes](https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582?mt=2)
  • [Rational Reminder Website](https://rationalreminder.ca/)

This episode serves as a crucial reminder for investors and advisors alike to rethink conventional strategies and focus on data-driven decision-making in asset allocation for retirement.

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Transcript

Automatic transcript. May contain errors.

0:17Welcome to another week and episode 284 this week and we welcome back a fan favorite, Professor Scott Cederberg for an incredible conversation. I loved it. I loved every minute of it. He's just such a great guest, nice guy, clear thinker, and boy, did we learn a lot today, but I'll let you do the setup. Let me just do quick background on Scott. He was our guest 60 episodes ago on episode 224. He's the Associate Professor of Finance at Eller College of Management at the University of Arizona, and he earned his PhD in finance from the University of Iowa. With that, Ben, you got to give us the backstory.

0:57Well, I mean, the backstory is that I've kept in touch with Scott since he was on Rational Reminder last time, back in episode 224. We went back and forth a whole bunch on a paper that he had done on safe withdrawal rates, did a video on that, and people on the internet kind of went crazy over it. And Scott was kind enough to provide me some additional data that wasn't in that paper that really added to that whole discussion. But then he had mentioned to me just in the course of chatting about stuff, that he was working on this other paper on life cycle asset allocation using his data set that listeners are probably familiar with.

1:30And if not, they'll hear about it in a minute. And so he kind of said, we're working on this thing. And then a bunch of time passed. Scott talks about his pace of doing research near the end of the episode, but it's hard. He's thinking about really hard stuff. The model's huge and the data set's huge. So he finally sends me this paper and I read it and posted it in the community. It's incredible. It challenges, which is basically what we talked about in this episode. It challenges some of the fundamental traditional wisdom of retirement planning and asset allocation. That's basically it. So the paper came out and I was like, well, you have to come back on the podcast.

2:07I asked. I didn't tell him. Would you like to come back on the podcast? He was more than happy to do so. So between when the paper came out and him doing this episode with us, he's presented the paper at conferences. He's also discussed in the Rational Minor community. So he's gotten all these different questions from people. Did you look at this? Did you think about this? And I think we get a lot of that during this conversation because he has looked at so many things and thought about so many different things. So every time you think like, well, no, that can't be right because of this. He has an answer.

2:36He does. That was amazing. But the findings are just incredible. And as the title of their paper suggests, it really does challenge the thinking on life cycle asset allocation, which is something. I'm still thinking about it, what we do with it. How do we go forward from here knowing what we know now? Great guest to finish off 2023. And with that, let's go to our conversation with Professor Scott Sederberg.

3:07Scott Sederberg, welcome back to the Rational Reminder podcast. Yeah, thanks for having me back. We are very excited to be talking to you again. And I know that I shared your paper in the Rational Reminder community a while ago, and it has been discussed extensively. Since then, you've participated in some of those discussions, but I know people are very much looking forward to this episode. So to kick it off, what are the central tenets of lifecycle investing that you challenge in your recent paper, Beyond the Status Quo, A Critical Assessment of Lifecycle Investment Advice? Yeah. So there's really two main things that we're focused on that are common pieces of investment advice.

3:43And one is to diversify across stocks and bonds. And then the other one would be that the young should invest more heavily in stocks compared with the old. And if you kind of think about some of the popular rules of thumb, like a 60-40 portfolio, super common, 60 % stocks, 40 % bonds is pretty widely talked about in a common classroom example for mean variance efficiency, the benefits of diversification across different asset classes. And then another rule of thumb that's thrown around is a 100 minus age rule. So you would put 100 minus age into stocks and then the remainder in bonds. So that becomes an age-based stock bond strategy.

4:26When you're 25, you're 75 % in stocks, 25 % in bonds. Then when you're 75, kind of the opposite, you're 25 % stocks, 75 % in bonds. So those are the main things that we're looking at. Can you talk about the general logic behind that traditional sort of age-based thinking on lifecycle investing? The super high returns that we've seen historically on stocks make them just like a really good tool for wealth accumulation. If you're young, you invest in stocks, you have the potential to build up quite a bit of wealth by the time you're retiring. But the problem is always that stocks crash. The conventional wisdom is if you're young, then you kind of have enough time that you can sit around and kind of wait for things to bounce back and recover from the crash.

5:12Whereas if you're older and in retirement and stocks crash, that's kind of a problem. and bonds have been historically viewed as being much safer for that set of investors. As people transition into retirement, the allocation of bonds has typically increased. How common is it for people to receive the traditional lifecycle investing advice? I mean, it seems to be kind of all over the place. Textbook treatments and CFA study materials, all these sorts of things. I think a lot of the financial advice that you're going to get from advisors follows these types of everybody has their own little approach, but it tends to have these features to it.

5:51There's also popular books and academic literature. I always joke if John Campbell and Dave Ramsey are telling you to do the same thing, they must be on to something. But then it's even in the US, especially, it's become coded into regulation effectively, where there are in employer retirement funds, there are these qualified defaults effectively where the employer no longer has any liability as long as they put the right default into their fund. And these have become these target date funds overwhelmingly. And the target date funds, they'll have some dates associated with them. So maybe it's a 2060 fund for people who think they're going to retire in 2060.

6:33And then the fund has a glide path where it invests in domestic equity, international equity, bonds, bills, but just with an age-based approach that's going to shift more towards bonds as kind of that cohort ages. Can you talk about what sets your method apart and its ability to challenge the status quo on this thinking? It might sound almost a little simplistic. I think if you're thinking about long-term investing and investing outcomes, it's the returns. You have to model returns in the best way possible if you're trying to figure out what's going to happen to long horizon investors. There's kind of three aspects here.

7:14So first is pretty simple, but I think it's important to lay out at the beginning. We're going to be focusing on real returns, so adjusted for inflation throughout everything. And that makes a difference when we're thinking about something like how safe are bonds, for example. Some 10-year treasury bond is going to be pretty safe until you think about the possibility that inflation could spike up and you're going to actually lose a lot of your real value. So like in the US, it's been talked about a lot recently, 2021, 2022 in the US, if you held 10-year treasuries, you lost 30 % in real terms over that two-year period.

7:51So your super safe asset all of a sudden lost 30 % and it's going to be pretty tough to get a lot of that capital back. The second aspect of our data, as we're thinking about long horizon investors, a household, there's a reasonable possibility that a household lasts until age 100. And so if you're starting to save at 25 or 30 years old, and you're thinking about all the way until 100, we're now thinking about like 70-year periods of what are my investments going to do over 70 years. And if we just think about the US, which is a commonly used data set for this type of an approach, there's just not much information on 70-year outcomes from a relatively short history that you're going to get from one country.

8:35And so we're going to take an approach where we look at developed country returns that allows us to greatly expand the sample basically by adding a whole bunch of additional countries. And so we get additional data from a bunch of different countries and we just bring a lot more information to the problem. The third thing that I think is super important is if you're thinking about long-term returns and long-term investment outcomes, you have to actually look at long-term returns. It's pretty common to look at monthly means, standard deviations, correlations. But we found throughout our work that these don't really tell you everything that you want to know about what happens over longer horizons.

9:17There's important properties of returns that happen over months and years and even decades that if you want to realistically capture what happens over long periods of time, you have to carefully keep those features in the data. So well put. Can you describe the life cycle of the household that you have modeled? We're considering couples, opposite-sex couples. At age 25, they can start working and saving. They're going to work until age 65, at which point they're going to retire. We have uncertain mortality or longevity. So we're using the kind of actuarial tables from the Social Security Administration in the U.S.

10:01to model the lifespans. That's an important aspect of it because you have an uncertain horizon as a household. And then during the working years, we have a model from a recent Econometrica paper that has been fit to actual worker data from the Social Security Administration. So we have uncertain income throughout the life cycle. Different people have different income profiles. There's possibility of non-employment during times during the working years. And then we're going to have our investors are going to save 10 % of their money as they're working. Once they hit retirement, then they start drawing monthly income.

10:39They're going to have Social Security based on the U.S. Social Security system. And then they're also going to be pulling out of their retirement savings. And for our base case, we're just using kind of this really simple 4 % rule approach where initially upon retirement, you see how much money you have. Multiply that by 4%. So if you have a million dollars, that's$40 ,000. And they're just going to withdraw each month based on an annualized$40 ,000. And then each year, just sort of adjust that for inflation. If you have 10 % inflation, then they're going to take out$44 ,000 the next year. The idea is just to get this real stream of income through this 4 % rule.

11:20But that does open up the possibility that at some point, they actually just run out of money from their savings, at which point they would just have Social Security. And then finally, if a couple passes away and they still have money, we have the bequest to any of their heirs. But it's kind of the basic setup of our life cycle. Yeah, that's cool. So you've got an opposite-sex couple, and you're really just following them through this hypothetical lifespan of saving and investing and then retiring and drawing down their assets and then potentially having an inheritance to the next generation. And is it 10 % of their gross income being saved?

11:55Yeah. Cool. Now, listeners probably remember your returns set up and you alluded to it a little bit when we were talking about what sets your method apart. But can you talk about how your data are set up and how you're sampling from the data? We have this data set that we put together. It's been like, I think, four years, maybe going on five years since we started putting this data set together. Our overall data set, we're looking at returns on domestic stocks, international stocks, which would be this value weighted average of all of the other countries, anything that you don't live in with currency conversions and all that sort of stuff built in there.

12:36And then we have government bonds with a 10-year horizon and government bills. And so we have these data. We've been able to go back, fill in all the holes and all this sort of stuff. We have these data, overall sample study period at 1890 to 2019. We have a total of 38 countries that are in the sample. And so overall, it's about 2 ,500 years worth of developed country-year observations that we have. And we did a couple of things, or we did several things, I think, that helped with one of the big worries when you're looking at historical information and then trying to project forward is the possibility that you have like look-ahead biases.

13:19And so one important one is survivor bias, where if you were conditioning on everybody being happy in the country right now, then that doesn't necessarily pick up the kind of bad events. So just as one quick example, we have Czechoslovakia in our data set, which was a failed market shortly after World War II. This sort of 2 ,500 years of data versus with the U.S. sample, We have about 130 years worth of data would be all for the U.S. sample to learn about the long horizon stuff. What retirement outcomes did you use to evaluate lifecycle asset allocation strategies? We're looking at four primary things.

13:58One is what's wealth at retirement. For each of these cases, we're going to simulate a million couples. So we simulate the lifetimes of a million couples. Now we're getting like distributions of possibilities effectively. We look at the distribution of wealth of retirement. Then there's retirement income that comes from both Social Security and withdrawals from the savings account, at least while it lasts. There's what we would call a ruin probability. We completely exhaust the savings. So if we use this kind of mechanical 4 % rule, if the market crashes or we live for a really long time, we might just run out of money and we're done with our savings at that point.

14:42So we look at the probability of that happening and then the size of any bequest at the end of the couple's life. So that was retirement wealth, total consumption, ruin probability, and bequest? Yep. Okay. That's cool. ruin probability, would that be independent of retirement wealth? Because you're using the same withdrawal strategy for all of the, regardless of what wealth is, yeah? Yeah, exactly. So because you're using the 4 % rule for everybody at retirement, someone who's accumulated more wealth is not in a better position from the perspective of ruin probability than someone with less. And that changes, obviously, if you switch to different withdrawal strategies.

15:22So we've looked at something like you just withdraw 4 % of whatever wealth you have built up every year. And so then that takes your ruin probability down to zero. The effects all come in at that point with how much retirement consumption are you going to get? Super unstable retirement consumption, I think, in that case. Yeah. What asset allocation strategies did you look at in the evaluation using those metrics? We have five different variations on these things called QDIAs in the US. It's Qualified Default Investment Alternatives for Retirement Savings. These are all going to be age-based stock bond strategies.

16:05And the headline one that I'll probably concentrate on the most is the glide path from a target date fund that's advertised from one of the largest, You would know the investment company. If I said it, one of our main focuses is the target date fund approach. We do kind of as a baseline comparison to that. If you go before the regulations that put in these rules in the US, things like money market funds and stable value funds were pretty common defaults in employer plans. So we do have a case that's just like, what if you invest all your money in government bills? That's going to proxy for that.

16:45And then we look at two all equity strategies. One would be you just do 100 % domestic stocks. And then the other one is you're going to do all equity, but 50 % domestic and 50 % international. So we're at least diversifying geographically at that point. So which asset allocation strategies perform best on your evaluation metrics? If you're looking at the TDF or these other QDIAs relative to the bills strategy, hey, they're doing great in terms of actually generating some wealth before retirement and giving you a little bit more safety relative to that previous approach. But if we look at the two all equity approaches, either 100 % domestic or diversified internationally, they both by retirement create about 30 % more wealth compared with like the TDF.

17:40So on average, they create about 30 % more wealth at retirement. If we then start looking during retirement, because the stock-based strategies have more wealth at retirement, you tend to get higher consumption. but there's some chance that you're going to run out of money and the TDFs are shifting away from equities to try and do capital preservation. During retirement, what's interesting is the internationally diversified equity portfolio, so 50 % domestic, 50 % international, ends up being safer during the retirement period compared with this TDF that's getting you into the bonds. you're actually less likely to run out of money during retirement if you're remaining 100 % equity.

18:26And at least part of the reason for this, if we then take our million couples that we simulated and we say, okay, let's concentrate on the 200 ,000 couples that lasted the longest, that's when the difference becomes really, really stark. Where if you remain invested in equity, these are all households that are going to be living. One of the members of the household is living till say like 90, 95, 100, or even beyond. So even at retirement, there's still a 30-year horizon or maybe even longer than a 30-year horizon. And you sort of need to keep on generating wealth in retirement in order to hedge yourself against that possibility that you just live for that long.

19:06One of the really interesting things is even though it's a higher volatility strategy in the short run, kind of over the long run, it has a better chance of being safe from the perspective of maintaining retirement consumption. And then at the bequest, similar to the wealth buildup by the retirement date, the equity strategies, there's a long right tail on stocks if you're able to sit there for 75 years invested in stocks. So there's some possibility at death that you still have substantial assets as an all-equity investor. And it's just a little bit less so if you've been sitting in bonds for the last 30 years.

19:48Retirement accumulation, no one will be surprised that equities win their ultimate bequest. People might not be surprised about that, but you're also saying that the all-equity strategies have a lower probability of ruin throughout retirement than the target date fund. If we're looking across our different strategies and we're looking at the ruin probability under the 4 % thing. This would extend to different types of withdrawal strategies and stuff. The general idea with bills, some money market approach that seems super safe, it's actually not safe at all. There's a 34 % chance we estimate that you would run out of money before death.

20:27With the TDF, it comes down a lot, but it's still 17 % chance, like a 17 % ruin probability with the TDF. If you're 100 % domestic stocks, then there's a little bit of a offsetting thing going on where it does help you against that longevity risk because it's going to, on average, keep on generating quite a bit of wealth during retirement. But 100 % domestic stocks is pretty risky. It's pretty volatile. And so that's still about a 17 % chance. it's a slightly higher probability of ruin than a TDF is. So TDF is a little bit safer than being 100 % domestic equity. But if we're looking at the internationally diversified equity strategy, 50-50, that has an 8 % ruin probability.

21:15So it's like half of the ruin probability of the TDF. I think one other thing that's kind of important to note here is I think sometimes our statements are being maybe construed as we're saying that it's super safe to be in equity, in all equity. I think 8 % ruin probability, but the 4 % rule is still probably higher than a lot of people would want it to be. We're not saying that stocks are super safe. It's just on a relative basis, if we're looking like, well, I got to do something, this is the strategy that gives you the lowest overall risk during retirement. The safest thing would be like an inflation adjusted annuity, but you also wouldn't get anything close to a 4 % equivalent distribution.

21:59Yeah, exactly. With the inflation adjusted annuity, from a theoretical perspective, this should be the dominant asset for basically everybody in retirement. People don't really do it that much. If we were going to do that, then the entire game comes down to how much wealth do I have at retirement in order to buy one of these things? The all equity strategies are so dominant during the working years that we would continue to say, this is the strategy, even if you are planning on fully indubitizing. The 50-50 domestic international all-stock portfolio dominates everywhere, including probability of ruin, and increasingly so at the longer end of the longevity distribution.

22:39Is that right? Exactly. Super interesting. Okay. Now, what about in the left tail of outcomes? All stocks is good on average. I can hear listeners thinking, but it's probably got a much worse left tail. What do you see there? If we're looking at these outcomes that we're talking about, like the wealth at retirement, retirement consumption, ruin probability is kind of tied to that left tail, and then wealth at death, the left tail is better for this all equity diversified strategy compared with any of these age-based stock bond strategies that are supposed to be protecting you on the low side. A lot of this is just bonds seem super safe if you're looking at them over a short period of time.

23:26But from the perspective of a long-term investor, where you don't know what inflation is going to be throughout your life, you're going to live for a long time, probably. And any period of inflation is just going to hit those bonds so hard. And it's just tough to recover in bonds, the real return on stocks, the average real return on stocks is four times as high as the average real return on bonds. And so even if you get hit sometimes on stocks, there's just a much better chance that you can bounce back from that. The international diversification also just helps so much. The left tail of the domestic stock distribution is not that favorable.

24:06But once we diversify internationally, we talked previously like a year ago or so, there are these interesting effects with international portfolios. And we're doing all like non-currency hedge international investments. But what we find over longer periods of time is that these currency adjustments tend to offset some of your local inflation shocks. So if you have a lot of local inflation, your currency tends to depreciate, which actually benefits your international investments. And it can act as a little bit of a natural hedge against your own inflation. And so just getting some money outside of your own domestic system, get it into this big basket of international markets, seems to be a super helpful thing for reducing risk.

24:51So interesting. Is there any benefit to having even a small allocation to bonds, even for just diversification sake? If we're looking throughout the entire life cycle, we've run it like, what if we just throw 5 % in bonds or 10 % in bonds, and the investors don't like it. They prefer 0 % to 5%. Even my guess is if we were allowing them to short bonds and lever up in stocks, they would probably want to go minus 20 or 30 % in bonds and go even heavier in equity. That's counterintuitive. Does that speak to mean variance optimization not being super useful for long-term investors? People are either going to listen to us on this paper or they aren't, But I think one of the most important things that we're kind of hoping with this line of research is just let's all carefully think about how to model long horizon returns.

25:45If we're interested in long horizon returns, let's think carefully about how to model these things. If you look over short periods of time, so say we look at monthly data in our data set, the correlation between domestic stocks and bonds is 0.15 at a monthly level. So not very correlated. You're probably getting a lot of diversification benefit there. At the monthly level, domestic stocks and international stocks have much higher correlation than that. But if we look over the long horizon, like a 30-year horizon, the correlation between stocks and bonds is almost 0.5. So there's actually much higher correlation at long horizons for bonds and stocks.

26:22And then domestic stocks and international stocks have a lower correlation at a long horizon compared with the stock and bond. So the geographical diversification is actually more beneficial than the diversification across the two asset classes. And domestic stocks and international stocks both have high expected returns. Bonds don't. And there's even a thing where stocks, there's mean reversion in stocks. So high returns tend to be followed by relatively lower returns. Low returns tend to be followed by relatively higher returns. And it kind of reduces the risk a little bit for long-term investors.

26:59It's kind of the opposite thing going on in bonds. If you're currently in a high inflation environment with increasing interest rates. Both of these things are bad for real returns on bonds. I mean, if that's happened each of the last 12 months, the odds that it happens this month, next month, the month after that, and the month after that is all pretty high. The way that bond returns act, they actually get more volatile from the perspective of a long-term investor. Bonds are becoming more and more volatile, but you don't get that bump on the return, you still just get that small little return.

Read the full transcript

27:34You're getting this thing that over longer horizons is getting riskier. It's becoming more correlated with stocks, and it's just not compensating you much on the average return side. Wow. Inflation is persistent and is not predictive of higher future bond returns, whereas with inequities, you have that mean reversion. Yeah, exactly. There's a paper that you may think of, I think it's from Cliff, from EQR, called International Diversification Works Eventually. They basically look at that like the short-term versus long-term correlation on domestic and international stocks. Yeah, exactly. It's my belief anyway that we should really be concentrating on return properties at the horizons that people actually care about.

28:14We know so much about monthly returns, but how many of us have a one-month holding period? So true. How important is social security? You're modeling social security. If you take that out, is 100 % equities still optimal? 100 % equity is still optimal regardless of what we would do with the Social Security piece. The reason for that, the distributions are all better throughout the distribution. So wealth of retirement, it's just giving you a better distribution of wealth of retirement compared with the other strategies. Retirement consumption, the differences across the strategies are all coming from the withdrawals from the strategies and not Social Security.

28:56the way we set up the simulation is we have eight parallel couples that all in each month have the exact same income as each other and the exact same contributions to Social Security and everything like that and the exact same longevity. The only thing that differs across the couples is the strategy that they pick. Social Security is mainly in our paper to give us maybe a little bit more realistic sense of utility-based calculations in retirement. Like it's not realistic to say that you go to zero consumption if you run out of money. There's still something there. It's just not going to be the lifestyle you were hoping for if you run out of savings.

29:35How would adding inflation protected bonds affect what you found? It's tough for us to like explicitly look at this in the historical data because these things just haven't existed for the entire history and they don't exist in all countries. even now. I think then you were saying that Canada has kind of phased out their program. These things, if you do have access to them, the way that we've tried to look at it is imagine that there is some hypothetical tips where you're just going to get, I'm probably going to say tips a lot. So treasury inflation protected securities in the US for tips. So imagine that you have these inflation-linked bonds that are just going going to pay you 1 % real rate.

30:22We try to do maybe 0 % or 2%. One of the risks with tips, if you're waiting until retirement to put part of your money in this, I think real rates right now are pretty high. So you would be getting a pretty good investment. But it wasn't that long ago, the real rates, even on long-term tips were negative. So there's a little bit of that kind of reinvestment risk that you have with the tips. As we looked at the trade-offs, If we put like 20 % or 40 % of money in tips after retirement, they're still not good for the wealth accumulation phase. But after retirement, putting 20 % to 40 % in tips, it was this trade-off where the ruin probability comes down.

31:04You're more likely to maintain consumption throughout your life if you're using a 4 % rule, but your bequest is going to go way down too because you're not generating nearly as much wealth. And then if you use one of these alternative withdrawal strategies where you're withdrawing more, if you make a lot of money in your portfolio, if you sort of link withdrawals to the savings, then it's a tradeoff of, do I want to avoid super low consumption at some point? Or do I want the possibility of getting more? And so there is just kind of a safety tradeoff that would be different across different investors, I think.

31:40And you're not modeling taxes, right? Which could be a problem for inflation-protective bonds? That's another practical issue with inflation-protective bonds is you pretty much, I mean, I think you want to have those things in a retirement account or perhaps the TIPS funds. I mean, those have a lot of volatility on kind of a year-by-year basis potentially, but there are kind of implementation issues with the TIPS. Same issue in Canada. Although, like you said, those are being phased out anyway, so we don't have to worry about them. How much more would this household have to save in target date funds to fund their retirement consumption to match that of someone investing in stocks through the full life cycle?

32:22Our investors in the base case are saving 10 % of their income as they go. And so we run this kind of utility comparison during retirement. The couples are getting utility from each month of consumption, and then they're getting some utility from bequest to their heirs. And so if we try and do this comparison, what would it take for me to save in a TDF to get the same kind of happiness in retirement as this all equity strategy? And you would have to save 14.1 % with the TDF throughout your entire life. So that's relative to the baseline of 10%. You have to save, in some sense, it's 4.1 % more, but that's 4.1 of your total income.

33:08And it's like a 41 % increase in the amount that you're actually saving in order to achieve the same outcomes. Wow. Those are real numbers. Can you talk about the downsides of investing in an all equity strategy? The really big one is been sweeping this one under the rug up to this point, but it's drawdowns, intermediate drawdowns. If I'm kind of defining a drawdown, this is like a peak to trough change in your account balance, ignoring any withdrawals that you've done, just like what happened to your assets or your asset returns over a period. And so again, we're thinking in real terms, but as an example, in retirement, the largest drawdown that a couple will face in retirement on average across simulations for a TDF, there'll be some time on average where you're going to lose 38%.

34:01So you have a peak to trough dip of 38 % of your asset value. And for the internationally diversified stock portfolio, that's 50 % on average. So at some point, you're going to have a bigger drop, like stocks are more volatile over relatively short periods of time. And so you do have to kind of be prepared for it's going to be a little bit bumpy. But then all of those eventual outcomes that we were talking about, wealth of retirement, wealth of death, retirement consumption, probability of running out of money, all of those paths include those big drops in stocks. stocks but at least if you you have a big drop in stocks we see quite often in the data anyway that the stocks kind of come back whereas if bonds crash especially if it's just losing real value due to inflation it's never coming back and so the issue with bonds is if you do get hit that 30 loss over a two-year period and in bonds in the u.s i mean the only way that you can get some of that back if interest rates go back to zero, but you're never going to get back that inflation eroded portion of that wealth.

35:11So it's a much bigger average drawdown, but you're still better off on all evaluation metrics. It's very much like an eventual outcome versus sitting there and looking at your account balance every day. Those are going to be two very different experiences for you if you're one of these all equity investors. Man. Barring behavioral issues, you just alluded to, and we can come back to that later. Just objectively, how much of a risk do you think large intermediate losses actually are for people who are saving for and living through and funding their retirements? We force our investors in the simulation.

35:50They have no emotion. We tell them what strategy to do. They are very loyal to the strategy that we tell them to do. That becomes the key. It does come down to the behavioral stuff. I know US regulators are worried about drawdown risk. I think that's just something that we need to confront head on effectively and say like, this is something that exists. If we do a strategy that is likely to give us better outcomes, but has these intermediate drawdowns. okay, now we just need to figure out what are we going to do? Because the obvious issue is people panic and withdraw their money from risky assets when they crash and probably have the highest expected returns.

36:37At least with stocks, we think that after a crash, that's at least partially because expected returns are probably really high at that point. You have to stick it out. So keep going, Scott. What about in retirement when retirees often talk about the sequence of returns risk, which is really these intermediate losses. What does all this say about that? Our investors don't respond to sequence of return risk at all. Some of it definitely is going to be coming in in this ruin probability that we have. The 4 % rule is subject to the sequence of return risk. If you have an immediate crash in stocks in retirement, you're more likely to run out of money.

37:17that risk is baked into the results that we're getting. Different withdrawal strategies are going to handle that in different ways. One thing that we did at one point is just say, okay, so this is the scariest thing. You're a retiree, you're 100 % stocks, and then stocks crash immediately upon retirement. And so we actually looked and we're like, what if we just look at the worst outcomes in stocks for that first year of retirement? What's the best strategy to be in, it's still the internationally diversified stock strategy. Whoa, that's wild. And we can go even throughout the entire retirement period and say, okay, so the worst case scenario is that stocks do poorly while you're retired.

38:01What if we take the 20 % worst outcomes for stocks during your entire retirement period? So in that case, so the baseline ruin probabilities were 17 % for TDF, 8 % for the stocks, for this stock strategy. If we're in this 20 % set of worst outcomes, then it's 34 % for the TDF and 24 % for the stock strategy. It's worse to be in a period where stocks do really badly, but the TDF actually still does worse than the all equity strategy when stocks do poorly. And I think this goes back to if we look at the long-term relations across assets from our previous paper using these data that we talked about last year, over a 30-year period, stocks are going to not beat inflation with about a 12 % probability and bonds, that's 27 % probability.

38:52But if we look at a loss period for stocks, if stocks lose over a 30-year period, bonds lose 61 % of the time over that same 30-year period. The TDF has tried to get you away from the risk that stocks are going to go down by getting you into bonds. But if stocks go down, bonds probably go down. And so that's not a safe place to go. And stocks still like 4 % higher average return than bonds. We're not saying that this is all like safe and rosy outlook on everything. If you're in all stocks, we're just saying the data tell us that there's not good alternatives to that. With the potential exceptions of these annuities, like inflation-linked annuities or inflation-protected bonds are potentially going to be a helpful part of retirement.

39:42But other than that, it's just sort of, you kind of have to take some risks and hope that you have a good outcome. Stocks and bonds will go down together in the long run because people will hear that and think, well, no, bonds go up when stocks crash, but that's like that month or maybe that year. But And in the long run, if domestic stocks do badly, bonds will also tend to do badly in the data. There are interesting kind of lags. I guess I don't even know if I mentioned how we're modeling our long-term returns, but we're using something called the block bootstrap approach, where we're taking this historical data and we're going to be randomly drawing periods from the historical data and coming up with a return sequence that lasts your entire life.

40:23but we're taking on average 10 years of consecutive data from the same country. So we'll get all four asset classes from the same country and taking 10 years on average, we're able to maintain some of these longer term asset return dependencies. I think a nice thing about the bootstrap is we don't even have to take a stance on what it is that we're trying to find in there. You're just asking the data, how does stuff behave over long periods? And there are these interesting lags, I think, between stocks and bonds, even stocks and inflation, where going back to the 70s, like Fama and Schwert are showing there's a negative relation between nominal stock returns and inflation at short horizons.

41:11But then if you look over longer horizons, it sort of has to be the case that if we have a ton of inflation over the next 50 years, stock prices are going to be really high. There's a major investment firm that reports in one of their white paper sort of things, a 70-year correlation between nominal stock returns and inflation reports a correlation of 0.1. In the state of the world where a loaf of bread costs$100 million in 50 years, I think the bread company is going to be worth more than$600 million. At some point, these two things have to be really tied together over the long run. But I think it's just very important.

41:48If you're trying to look at long-term returns, look at long-term returns. We mentioned investor behavior recently. There's a bunch of research that we looked at recently showing that investors underperform the asset classes they invest in and increasingly so with increasingly volatile assets. And for equities, depending on the paper you look at, it's like one and a half or 2 % per year. How do you think investors should factor that into their asset allocation thinking? I mean, it comes entirely from, are you pulling money out of the market at certain times? So this is, I mean, relative to like a buy and hold strategy, it all comes down to, are you committed to the strategy or not?

42:28I acknowledge it's a large problem to think about is that people are going to have to actually just sit there while their retirement account is crashing and like not respond to it. But that's what has to be done in order to realize these gains. From their perspective, it feels like they're watching the world end because that's what it always feels like. But in your sample, there are cases where the world hasn't ended, obviously, but where countries have economically ended, at least as represented by their stock market, and things have still worked out okay. It's still coming out in the data that these are the best outcomes.

43:08In some of these periods too, where just stocks have gotten hammered in some of these countries, but nominal bonds have not exactly been the greatest thing in the world either. You've said that a few times, that it's like, you're not saying stocks are safe. You're just saying, given the opportunity set of stocks and bonds, bonds look terrible in the long run. We have to behave like the data in your sample. That's the message. Turn off the human brain and behave like data. it's kind of interesting i don't know how to think about the entire range of policies that are feasible and possible the potential for just like reporting when i go on my fidelity account i swear it depends what the graphs look like in terms of if they look like this because things have been going down fidelity will try and find some range of time where it didn't go down the whole time and show me that graph.

44:05And then if things have been going well, it shows me a graph that's going up. I don't disagree with this sort of an approach. It's finding some way of kind of giving somebody a longer term view of their account performance versus just what's my dollar amount right now versus the highest number that I remember. That's kind of the problem that we face with this type of thing. Some sort of adaptive feedback loop. There are systems in some other countries too, where you're just invested in a pension fund and that pension fund invests your assets and you're just invested in that pension fund. And so that where the investors have a little bit less personal control over the asset allocation.

44:49I mean, it feels like you're losing control, but maybe that's not such a bad thing if you're kind of locked into a strategy. How important are return dependencies like mean reversion in stocks in your results? Super, super important. Mean reversion is really important. Both domestic stocks and international stocks, we see this mean reversion effect, so they get safer over longer horizons. But I think even potentially more important are these kind of unmodeled, and I don't even know exactly why they happen, but things like stocks and bonds becoming more correlated over time. We didn't have to explicitly model what was going to happen with inflation and currencies.

45:30But in the data, it shows up that over longer periods of time, exchange rate fluctuations tend to offset some of your local inflation and make international stocks safer over time. We think it's really important. We're thinking about long-term investors. We want to know about long-term returns and you kind of have to just go grab the data and make sure that whatever we're saying about long-term returns is consistent with what's going on in the data. Can you talk about how your results change when you switch to using monthly returns? We ran one analysis. Our base case, we're using this full developed country sample and we're using this block bootstrap where we're trying to preserve the time series dependencies in the data.

46:14So we're taking 10 years on average of data. There's an alternative for, I guess, a couple of alternatives. One, we could use the US data. And then two, we could use what we would call like an IID bootstrap. That's just going to assume that months are independent of each other. And so in that bootstrap, you just go and we have 30 ,000 months of data and you just go pick one of the 30 ,000 and you go pick a different one of the 30 ,000 and you string these all together. And what that does is it breaks up any of those time series dependencies in returns. If we look across these, you can then sort of think of four different approaches.

46:51We have our base, which is develop country sample, block bootstrap. But then you could think about doing, well, US sample, block bootstrap. Or we can do our develop country sample with the IID bootstrap or the US sample with the IID bootstrap. So we can go across those two dimensions, get kind of fill in those four boxes. And what's interesting is if we do either switch from developed country sample to U.S. sample or switch from block bootstrap to IID, the gaps kind of close between, say, the TDF and the all equity strategy. They close a little bit. All of the ruin probabilities come down relative to our base case.

47:35but the stock strategy actually still dominates. If you're changing either of those two assumptions, the stock strategy still dominates. It's only when you go to the US IID approach. So you're saying, whatever, we have 130 years worth of US data and you say, okay, that's sufficient. And that's what I want to learn from. And then you're taking the stance that returns don't have any time series properties. So in that scenario, stocks still tend to be better at wealth accumulation, but there are lower ruin probabilities on some of these stock bond age-based strategies. There are investors who would prefer, in that case, get into bonds.

48:19But that does rely on a couple of pretty strong assumptions. I mean, we can argue about US versus developed countries sample. And we always have this argument about whether the US is special, whether other developed countries are exactly the same or not. And there's a debate to be had about that. I think the really tough debate is returns are not IID. We know that volatility is time varying and we can all like see these patterns, even just like looking at the market for a few days, you know, that volatility varies over time. And there's a lot of evidence that there's variation of expected returns and mean reversion.

48:56And we see continuation and bond returns and all this sort of stuff. So we think maintaining those aspects of the data is really important. If you're going to do that, then it actually doesn't matter anymore whether you're using the developed country sample or the US sample, you're getting the same answer, where the all equity strategy is safer than the TBS. Wild. That part's crazy. I think a lot of people use either monthly returns or just simple Monte Carlo that is assuming IID and that you would get the result that you're describing, which is a result everybody gets. A lot of the academic literature, we assume that returns are normally distributed, IID or something like this.

49:36So it does kind of extend around. There's another approach that seems to be pretty commonly used in industry that's like vector autoregressions, where there's an attempt there to model out long-term outcomes. But the structure of these things tends to be that you're going to use pretty short-term data to estimate stuff. and then you try and estimate the dynamics. I think a very tough thing for a vector autoregression to pick up though is there's so much reliance on these short-term correlations to figure out how things are related over long horizons that I just don't see how they're going to get stock bond correlation to go from 0.15 at a short horizon to 0.5 at a long horizon.

50:16It's just such a dependence on these really short-term correlations and I think that that's probably where a lot of things are getting missed. Given all this, and I mean, obviously, this is a new paper, so people didn't have the information. Maybe that's part of the answer. But why do you think retirees are doing stuff that's more similar to the traditional advice? Everybody's doing what they're told. Your listeners are thinking a lot about their asset allocation and doing their own analyses and all these sorts of things. If we look across investors like retirement savers in the US, some numbers by Vanguard recently, I mentioned these QDIAs where employers can put this thing as the default and then they're free of liability.

51:00So 98 % of employers have a target date fund as their default. And then if you look at the investors, 83 % of investors hold at least some of their money in a target date fund, and 59 % have all of their money in one target date fund. So it's three-fifths of Americans are just doing the thing that they're being defaulted into, or they are taking that as financial advice. And most people don't really think about it that much. So if that's the status quo, then that's the status quo, and that's going to tend to be what people do. Yeah, it makes sense. I want to ask about home country bias. This paper is mind-blowing for all of the reasons that we just talked about.

51:40This part, I'm very interested to get some answers here. The optimal portfolio is 50 % domestic, 50 % international. You show in the appendix that going down to 35 % domestic is marginally better, but that 35 % domestic, that's still a massive home country bias for investors outside the US. What is driving that? Why is there such a large optimal allocation to domestic stocks? And sorry to keep going on the question, but we talked earlier about how much better international stocks look in the data. I just don't get it. So a few aspects, starting out with maybe the potential of at least having some domestic relative to international.

52:19There's still a long correlation, not huge. There is certainly positive correlation and relatively large, but it's not 0.9 correlations or anything once we're out at 30-year horizons. So there's some just plain old diversification benefit. I think part of it, it's a little tough to pin all the million couples down on why they preferred what, but I think a good part of it is probably currency stuff. If you think about over a long horizon, like a 30-year period, if your currency appreciates over that whole period, then that tends to hurt your international investments. because in the US, I would be selling dollars to buy the foreign currencies to buy some stuff, and then eventually I would have to buy dollars back again.

53:06And if the dollar has strengthened, I'm able to buy fewer dollars. So if we look at those cases where the currency has appreciated, it also tends to be the case that currency is appreciating in a country because the economy is doing fairly well and the stock market's doing fairly well, typically in those same sort of periods. So we do see that domestic stock returns are better than international stock returns if your currency appreciates over a long period. And then if the currency depreciates, the opposite on both of these. I get to buy back cheap dollars. So my international investments do really well.

53:40And then the domestic market has probably suffered a little bit if the currency is weakening. So I think that's probably part of what's going on. One thing that we looked at a little bit in our previous paper, because all the stuff that we're talking about now is completely unhedged on the currency side for the international stuff. It's a little bit tough to perfectly look at this in the historical data because we have to make assumptions. We don't have currency derivative data for this entire history. So we would have to make some assumptions about currency hedging and stuff. It might be possible that if you were able to partially hedge your international portfolio or something.

54:22I don't think you want to fully hedge the currency risk in your portfolio because it has this nice property of offsetting local inflation. But that currency exchange rate volatility, if you're really loaded up on international stuff, might become a little bit of an issue. So it may be the case that partially hedging that pushes down the domestic piece. Interesting. Okay. So partially hedging some of your foreign currency exposure might push down the optimal allocation to domestic stocks. It's speculation, but I think if that's where some of the risk is coming from, then it seems to make sense.

54:56I don't think you want to get 100 % of that volatility out of your portfolio, but I don't think we ever looked at partial hedging. We looked at either currency hedged or unhedged. John Campbell has a paper, I think, looking at that. We asked him about it when he was on about optimal hedging, and I think it was partial hedges were better than unhedged or fully hedged. So that is interesting speculation. Man. On the currency effect, are domestic stocks hedging local consumption because of the currency exposure? Is that a way to say that? It's going to tend to be the case, I guess, that the domestic stock market is going to be doing better in these times with relatively better local economic growth.

55:45It would probably also be relatively lower local inflation if the currency is appreciating. That's kind of the times the domestic stocks would be doing better is relatively good times. But perhaps another way that might affect this, we haven't yet built in any correlation between our labor income and stock market outcomes. So it's also possible we're planning on doing that and basically building in some correlation structure between human capital and stock market stuff just to see whether that pushes anybody off of stocks. If that's all at the local level, that tends to be at the domestic stock level that could push people a little bit away from domestic stocks there too.

56:33When you take into account any correlation between domestic stocks and labor income, that might push down the home country bias. I think also, if we're looking at the economic magnitudes of some of these things, one of the things that we've looked at is basically the whole range of, what if I go 5 % domestic, 10 % domestic, all the way up to 100 % domestic? If you take this 50-50 domestic international investor, and you force them to do 100 % domestic, they're angry. This couple saving 10 % now feels like they have to save 16%. They do not want to be 100 % domestic stocks. But this 50-50 couple is indifferent between being 50-50 and 20-80.

57:20So like 20 % domestic, 80 % international. And even all the way down to 5 % domestic, 95 % international. The savings rate is still only 10.6%. Once you get on that side of the midpoint, it's a lot flatter over the outcomes. So the difference between 35 % and 10 % in domestic stocks is not going to be super, super huge from an economic perspective. And so then it probably comes down to what makes you feel most comfortable. Like in the paper, we've been talking about the 50-50 because one, it's kind of a simple rule of thumb. And we are like specializing to the US in the sense that we have US longevity, US social security, and then the US is roughly 50 % of the global market.

58:12And so something around market weights seems to make sense. for the euro zone i mean i think because so much of this is kind of currency driven i think if you're in the euro zone you probably want to think of the euro zone as your domestic market at this point in history and so that 35 in the euro zone probably doesn't seem too outlandish so that's again probably roughly in line with market weights the smaller markets like Canada, so you own currency, but smaller market, maybe these results, maybe bump it up a little bit, bump something up, do a little bit more home bias or something like that.

58:52Or maybe it's a little bit of a justification if you are doing home bias. But if you really feel like doing market weights, I also wouldn't argue too much with that. As long as you're not doing 100 % domestic, then you're probably doing kind of okay. Would adding in additional cost by owning international stocks push the optimal home bias further? I think certainly that would push it in that direction. The US at this point, everything's pretty good. My friends around town, I tell them put half each in two ETFs. So VTI and VXUS, get them domestic stocks and international stocks. And I think the weighted average fee on those is about five basis points per year.

59:37We don't really look at fees in our setup, but certainly going to have an impact. I still think if I'm kind of eyeballing the distributions, I think that the international diversification is still going to be better on the left tail than even if we're taking some fees out, it's still going to be better on the left tail than a lot of the other strategies. but just depending on the size of the fee gap, it's going to lose average performance relative to domestic. Can you talk about how the findings in this paper relate to the findings in your paper on safe withdrawal rates? Because in that paper, you show the 100 % stocks, although it was domestic, and I just gave the answer that away, is dominated by 60-40.

1:00:22But can you just talk about that? So that paper, we had all domestic strategies. So it was domestic stock bond approaches, And 60-40 is better than domestic stocks, largely because of that left tail type of risk that you get in the domestic stock distribution. So that was what we were looking at in that paper. So basically, safe withdrawal rate is better at 60-40 than it is at 100 % domestic. But once you add in international stocks, an equity portfolio dominates on safe withdrawal rate. Yeah, the geographical diversification is better than the stock bond diversification. Do you have, by chance, the safe withdrawal rate at the 5 % ruin probability for the 50-50 portfolio?

1:01:03So we ran 3 % and 5 % rule cases. I can interpolate between 3 % and 4%, and it's about roughly 3.4 % is the withdrawal rate. It's much, much higher than for the target date fund or where any of these other things are still going to be much lower withdrawal rates. The TDF is still whatever it is, 2.3 % or something like that. So if you are willing to do this and you are willing to not touch your portfolio, then we would argue that a little bit higher withdrawal rate, kind of this 3.4 % is potentially feasible. And that's based on the average mortality? It's for the couples in our simulation. So it's uncertain longevity.

1:01:52But with the 50-50 equity strategy, roughly 3.4 % withdrawal rate. It's a big jump. Willing and able, of course. I'm curious, Scott, what aspects of all this work surprised you? The relative safety of 100 % equity even during the retirement period, I think, is initially counterintuitive. We've been working with this for so long. We've seen a lot of the tail risk for bonds, especially in real terms and stuff like that. We had a sense of what we were going to be getting in this, just that investors are pretty much completely not interested in holding bonds at any point was a bit of a surprise. I think the other thing that was surprising to us as we were doing it, if I'm telling the story of us writing the paper, a thing that was more difficult than I thought was reconciling with the conventional wisdom.

1:02:47Where do I find results that tell me that this TDF is better than the all equity strategy? From our base case, we're doing like these one-off change this assumption, change this assumption, change this assumption. And we're not finding any single assumption that gets us back to a TDF being an optimal strategy. It took this combination of US data and an IID bootstrap. So ignoring the time series properties of return to get us there. I'm probably revealing how slow I am at research, but I think that was like three or four weeks to be like, maybe I should run this combination of US and IID. But then that was finally the thing where you're like, oh, that is the thing that makes the TDF look safe in retirement is just this very special modeling approach.

1:03:36Man. So the lifecycle investing advice that everybody gets is basically based on the survivorship bias and easy data bias sample that everyone looks at. it seems to be the case that that's heavily influential, like the US data are just heavily influential on this. And then the modeling, how we're modeling long-term returns, I think is super important for this problem. You tested withdrawal rates from three to 5%, and at 5%, stocks level lower probability of ruin than the other alternatives. Yeah. Wow. This is off the top of my head. I want to say the TDF was up to like 35 % ruin probability or something.

1:04:18And the diversified stock strategy was at 16, 17 % something. Is that in the paper? We have it in the appendix, or at least a picture in the appendix. I have to dig that up. There are a lot of appendices in the paper. Yeah. I didn't read all of them yet. Crazy. All that points to the fact that it continues to be a much lower probability of ruin at higher withdrawal rates. Again, just has me thinking about whether sequence of return risk is really something that people should be as concerned about as they are. Those withdrawal rates are the things that are most subject to the sequence of return risk.

1:04:55Those rules are what open you up to that. And our investors are doing nothing to mitigate that risk. They're just literal ones and zeros in a machine. So therefore, behavior is what really matters? Moderating behavior is going to be central in all of this stuff. If anybody's ever actually going to do this type of an approach, I mean, I'm doing this approach, but I probably am a little better than most at remembering the long-term aspects of these things. This research, as with your other research, but this one even more so really touches a lot of the advice that we give to clients. So from where you sit and in your opinion, how do you think these findings should affect how financial advisors talk to their clients?

1:05:41I think our goal with this paper is just sort of opening up the conversation even a little bit more. I mean, there's always talk about what life cycle investing should look like, but let's just even have more of the conversation. I think on the very like technical geeky side, I think there should be more conversation on how do we model long-term returns and how do we make sure that our models that we're putting into these things, like in industry and academia, how do we make sure that the models that we're putting in are generating long-term returns that match the properties of actual long-term returns?

1:06:16That's a really important part just from a technical perspective, because that's where a lot of the advice ends up coming from. And then at sort of a client level, I think there's a couple of psychological aspects, perhaps, I think are going to be really important in figuring all this out. One is it still every time I present anything on this, people are like, but I just want to have some safe bonds over here. It's like, well, that would be great, except they don't really exist with the exception of potentially tips in the US. but bonds seem so safe to everybody. And that's just ingrained in everybody's mind.

1:06:53And I think that's going to be an issue that needs to be overcome if we're pushing people off of bonds a little bit is just sort of changing the perception around that. The second thing, just being like, if we implement this stuff, those drawdowns are going to happen. And then everybody has to get talked off the ledge and very much long-term focus, outcome-based focus sort of stuff. I think these are all challenges. There's whatever it is,$600 billion per year in new retirement savings every year in the US,$600 billion. And we're finding large differences in outcomes, like economically large differences.

1:07:34This is just a huge problem. And I think we should dedicate some resources to making sure that we're getting as close as possible to kind of doing the right thing. The volatility piece is so interesting. I was talking to someone earlier about liquid private equity investments. And one of the things they said that I found just fascinating related to this discussion is that the best thing about a product like that is going to be that it's going to be less volatile than public equities because the underlying assets are valued less frequently. So he's like, it's not less risky, but it's going to look less risky.

1:08:05And behaviorally, that's going to be good for investors. Like that's such a weird roundabout way of getting to a better place for investors. And it probably costs a bunch more. Some of the reporting stuff, if you can report smoother things or more long-term things, that's advantageous. It would be interesting with liquid private equity stuff to see the extent to which the investors are guessing at what the current value of the private assets that are only being valued every once in a while, but the price of that fund probably doesn't have to be exactly equal to the stated net asset value. That would be a really interesting view on how investors are working with very limited information to come up with current prices for things.

1:08:46That would be interesting. It's just so funny how the psychology plays into decisions where it's like, even if we know something is objectively optimal, people still won't do it just because it moves up and down a lot from day to day. Well, Scott, I think that's all the questions we have. This has been an incredible conversation. This paper is awesome. It's changed the way that I'm thinking about stuff. I think it'll change the way a lot of people think about their portfolios. So it's a big contribution. Very well done. Awesome. Yeah. Thank you guys so much. It was great talking to you. Yeah. Great to see you, Scott.

1:09:17Thanks again.

From the publisher

In this episode, we welcome back the esteemed Professor Scott Cederburg, Associate Professor of Finance at the University of Arizona. In this highly anticipated episode, Professor Cederburg revisits the show to delve into his groundbreaking paper on life cycle asset allocation. Professor Cederburg's latest research presents findings that disrupt traditional thinking in the field, prompting a deep dive into the implications of these new insights. In our conversation, we unpack the findings from the paper and how they challenge established norms in retirement planning and asset allocation. We discuss what the new paper adds to the discourse, his approach and methodology, the different assessment criteria used, and the main findings from the paper. We also delve into the different asset allocation strategies assessed, which strategy performed best, aspects that would influence the various strategies, and how to invest for the long term safely. We explore the nuances of stock versus bond returns and the hidden benefits of international diversification. Gain profound insights into the significance of social security, inflation-protected bonds, target date funds, and the repercussions of an all-equity strategy. Comparing his latest paper with prior research on withdrawal rates, Professor Cederburg highlights surprising aspects of the results and provides invaluable takeaways for financial advisors from these cutting-edge findings. Discover how this pioneering work challenges conventional wisdom, reshaping the landscape of retirement planning and investment strategies in this illuminating conversation with Professor Scott Cederburg.

 

Key Points From This Episode:

 

  • Background about Professor Cederburg and episode overview. (0:00:00)

  • How his new paper challenges the central tenets in life cycle investing. (0:03:38)

  • What sets his method apart regarding its ability to challenge the status quo. (0:06:56)

  • How he characterizes the life cycle of the household modelled in his study. (0:09:40)

  • The data set used and his approach for sampling and analyzing the data. (0:12:09)

  • Retirement outcomes used to evaluate life cycle asset allocation strategies. (0:13:56)

  • Asset allocation strategies investigated in the paper and which one performs best. (0:15:49)

  • Left tail outcomes of all-stocks strategy, stock returns vs bond returns, and the benefits of international diversification. (0:22:52)

  • Learn about the importance of social security in the model and the nuances of inflation-protected bonds. (0:28:29)

  • Investing in target date funds and the downsides of an all-equity strategy. (0:32:05)

  • Hear about the impact of large intermediate losses on retirement savings. (0:35:33)

  • Unpacking the lag time on returns between stocks and bonds. (0:40:01)

  • Exploring investing behaviour and reasons for underperformance. (0:42:15)

  • The importance of return dependencies and what happens to the results if monthly returns are used. (0:45:03)

  • Navigating and modelling flaws and common aspects overlooked in financial analyses. (0:49:29)

  • Dissecting retiree adherence to traditional approaches to long-term investing. (0:50:36)

  • Home country bias and its influence on portfolio allocation. (0:52:12)

  • Currency effect and domestic stock hedging as a strategy. (0:55:32)

  • Comparing the findings from his latest paper with those from his paper on withdrawal rates. (1:00:24)

  • Aspects of the results that surprised him and takeaways for financial advisors from the latest research findings. (1:02:07)

 

Links From Today's Episode:

 

Professor Scott Cederburg — https://eller.arizona.edu/people/scott-cederburg

Professor Scott Cederburg on LinkedIn — https://www.linkedin.com/in/scott-cederburg/

Professor Scott Cederburg on Google Scholar — https://scholar.google.com/citations/

Eller College of Management — https://eller.arizona.edu/

Episode 224 — https://rationalreminder.ca/podcast/224

Episode 250 — https://rationalreminder.ca/podcast/250

'Beyond the Status Quo: A Critical Assessment of Lifecycle Investment Advice' — https://dx.doi.org/10.2139/ssrn.4590406

'The Safe Withdrawal Rate: Evidence from a Broad Sample of Developed Markets' — https://dx.doi.org/10.2139/ssrn.4227132

International Diversification Works (Eventually) — https://doi.org/10.2469/faj.v67.n3.1

'Stocks for the long run? Evidence from a broad sample of developed markets' — https://www.sciencedirect.com/science/article/

Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582.
Rational Reminder Website — https://rationalreminder.ca/ 

Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/

Rational Reminder on X — https://twitter.com/RationalRemind

Rational Reminder on YouTube — https://www.youtube.com/channel/

Rational Reminder Email — info@rationalreminder.ca
Benjamin Felix — https://www.pwlcapital.com/author/benjamin-felix/ 

Benjamin on X — https://twitter.com/benjaminwfelix

Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/

Cameron Passmore — https://www.pwlcapital.com/profile/cameron-passmore/

Cameron on X — https://twitter.com/CameronPassmore

Cameron on LinkedIn — https://www.linkedin.com/in/cameronpassmore/

 

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Episode 284: Prof. Scott Cederburg: Challenging the Status Quo on Lifecycle Asset AllocationThe Rational Reminder Podcast · 1 h 9 min
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