The Retirement Distribution Hatchet Webinar - September 2022
Learn how to navigate retirement distribution strategies in a comprehensive webinar.
Last published on: February 25, 2026
Research into dynamic retirement income planning has often focused on setting guardrails based on portfolio withdrawal rates. However, client scenarios often do not lend themselves to simple withdrawal-rate-based planning. When realistic changes in expected income needs and non-portfolio income sources, such as Social Security, are taken into account, we require a more robust approach to income guardrails. Guardrails based on total, holistic income risk provide a more generalizable and intuitive way to plan for dynamic retirement income.
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Video: The Retirement Distribution Hatchet
Webinar Transcript
good morning everyone we will begin the webinar in a few minutes as we get our panelists and attendees in here
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okay warren and derek
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[Music]
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i'm okay i'm i'm in the right place right yep you're here just getting justin in here as well
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make sure you like join some nope you're good i was uh having some technical issues
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nope no problem all righty perfect okay
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morning justin fix the hair okay perfect okay and then let me see our
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attendees all right yeah it looks like we got the majority of folks in here
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okay good morning everyone uh thanks for joining our webinar this morning we are excited to kick off another great uh ce
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presentation uh for you today um by our panelists derek and justin before i turn it over to them for those
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of you who are joining for the first time we will have the first half of the webinar be the presentation and then
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we'll open it up for q a uh after that in the zoom meeting webinar here you'll
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see the q a tab at the bottom feel free to drop your questions in there you can also view other people's questions
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upvote and comment um move their questions up in the queue and then we'll kind of walk through the queue as well
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uh after this uh this webinar you will get a survey right after to um just put in your information as far as your cfpid
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and things like that so we can make sure you get credit um for your cfpce credit um for joining this webinar
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okay all right guys i will turn it over to you and come back for the q a
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all right thank you everybody for uh for attending
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um so today we're going to be talking about um risk and retirement and how to
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uh how to adjust for risk over time because it's very clear whether that's based on
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you know research or your own intuitions about your clients or people you know
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that retirees don't fail in retirement so they don't typically kind of
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you know run off the cliff while a coyote style uh and and run out of money
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instead they adjust um and this is really similar to how we might adjust in
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our working years um you know things are a little better than expected we take that nice vacation things are worse than
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expected um you know maybe we trim back a little bit um so this is very clear
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and before we kind of get into the the ways that people can adjust and you
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know ways to really scale this across client types and across time for the same client i want to just take a second
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to to talk about what this means for how we discuss retirement and retirement risk
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for clients um so and we often do this with with metaphors right so there's a lot of
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kinds of risks in the world some is catastrophic some is chronic some is small some is large um
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and unfortunately the the kind of dominant paradigm for discussing retirement and
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retirement risk right now is the success and failure paradigm right this kind of binary black and white you either
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succeed or you fail and a lot of people have talked about why this paradigm is is not adequate for
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for discussing retirement um however you will see people say things like you know well would you get on an airplane if it
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had a 10 chance of crashing if it only had a 90 chance of of
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of success um but that's really the wrong metaphor um for retirement
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uh retirement is very different than than flying a plane we might look
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for metaphors more in the realm of detours or fender benders or
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um you know traffic jams um maybe even uh you know if you want to stick with
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planes we might stick with uh delays or even um cancellations right things that
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are definitely annoying and depending on the situation even you know really a problem but definitely not the
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same as you know catastrophic failure the reason for that is that
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retirement has some really helpful characteristics i've said before that
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retirees have a superpower and it's based on the way that retirement lays itself out
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over time so from the financial standpoint at least the the liabilities of retirement are
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they're small they're small relative to the whole and they're spread out over time relatively smoothly
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that means that as things change in the world around us for a particular retiree
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we will see how risk is changing right so it will either be going up or going down or maybe
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staying the same but it will tend to move you know not all at once it won't go from hey everything was amazing
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you know we were under spending we were probably going to leave lots of extra money to our heirs and then the next day
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it's the opposite instead things move over time generally over
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months or maybe even years at the very worst over you know many weeks we might see hey things were
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really good now we're just normal again right um and the the great thing the superpower of
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this is we can both see how things are changing over time for retirees and we
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can make changes in advance to adjust for those so the liabilities themselves are often flexible
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so i've talked before about how this is very different from you know a
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a hedge fund or something maybe it's a highly leveraged hedge fund market to market um
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you know futures or securities and there you know you really could go
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from things are okay to you're out of business you know the next day or the next week
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that's not the way it typically happens with retirees
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so okay with that kind of groundwork in place what we would look for in an income
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adjustment kind of paradigm would would just be something that is
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tracking that risk and letting us know if risk is too low so to speak right
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allowing us to let clients know hey you you can afford to live a little right now maybe take that vacation you've been
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hoping to to do or you know uh you know do that home improvement project right
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you have some there's some slack for you you can take up here or is risk getting too high you know consider tightening
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the belts so that's kind of the the paradigm we're looking for a way to do that right
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um and ideally this would be a an approach to adjustments in
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retirement that are accurate so we want you know our analytics to give us
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adjustments in the right direction um that's first and foremost
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of the right size so to speak although that's a little bit um you know that that might depend on the on the client
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what the right size is and at the right time we want it to be scalable so we wanted
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to apply across all different client types you know different mixes of of income sources and so on and over time
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it should apply for a 60 year old a 70 year old and 80 year old right it should scale
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we want this to also give us something that we can communicate in an understandable way so
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that clients and advisors know what to expect right a way that you can really you know communicate this uh
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and and be understood and then we want it to be manageable right this this can't be something that uh
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that uh where now you can only have one client because it's so complex that uh that you're gonna need to
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um to spend all the time on the analytics there so um adjustment based planning and
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retirement is is is nothing new um in fact even in bill bengan's 1994 piece
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on what many people later called the four percent rule um he talked about adjusting um toward the end of that
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article so people have known that adjustments should be part of retirement for a very long time
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and there are lots of different approaches you can find in the academic literature and the practitioner
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literature on how you might go about it in kind of the nitty-gritty nuts and bolts of you know doing the calculations
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for figuring out when to suggest that your clients make adjustments
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and the the approach is that that i'll talk about today and one in
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particular you could kind of say are are built in this kind of mode of triggers or guard
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rails right so triggers might be something like is my portfolio balance up or down by a certain amount is my
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withdrawal rate too high or too low um or there are even cases where it simply
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has a certain amount of time passed it's time to update my withdrawal rate
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and then the adjustments once something is triggered once a guardrail is hit tend to be increase or decrease by
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something maybe there's a floor or a ceiling on a withdrawal rate or an amount
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or there are some cases where you might um see something like hey you know if our account balance is down by a certain
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amount skip the an inflation adjustment that kind of thing so triggers uh for adjustment and then the
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adjustments themselves um now a lot of these approaches
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have some some value to them particularly as research topics because they tend to strip away a lot of the
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complexity of typical client situations and um kind of give us an insight right
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into the analytics of it some of them seem fairly easy to manage for example skipping an inflation
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adjustment is is very simple we just do nothing they tend to have an intuitive link to
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risk which is uh definitely a virtue here and there's a lot of research on them but
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unfortunately um when you try to transfer them into
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you know the the messy world of client idiosyncrasies and things
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you can run into trouble so we'll see how these can even trigger adjustments in
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the wrong direction uh in certain times so but the main thing is it's really not easy to scale these across
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uh realistic client situations so we'll give an example here
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um so probably one of the the more well studied and definitely more widely
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adopted approaches to giving retirement income adjustment advice is
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to use withdrawal rates withdrawal rate guard rails lots of approaches to this as well
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but what this means is you're going to target a certain withdrawal from an investment portfolio
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and take systematic withdrawals so you're going to keep that that dollar amount withdrawal in
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in place um making inflation adjustments over time and then change that dollar amount only
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if something else happens okay so if i'm taking fifty thousand dollars from a million dollar portfolio
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that's a five percent withdrawal rate um if the you know portfolio balance goes
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up the withdrawal rate will go down if the portfolio balance goes down then withdrawal rate will go up right
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um so let's imagine something like this i'm going to target 4.7 withdrawals so that million dollar
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account would give us 47 000 a year however if that withdrawal that forty
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seven thousand dollars ever hits six percent right so now my my my
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uh my portfolio balance is down enough that the withdrawal rate is up
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um i will reduce my income right presumably in this case back to 4.7
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however if the withdrawal rate hits four percent so the account balance is up
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uh enough that the 47 000 withdrawal is now four percent of the portfolio instead of 4.7 um i will increase my
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income again probably back to 4.7 now nice things about this it's fairly easy
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to to track right we just need a calculator um so it's easy to calculate
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and there's an intuitive link to risk it's it's clearly um less risky to take
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forty seven thousand dollars from a 1.5 million dollar portfolio than it would be to take it from an 800 000 portfolio
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right i mean that's just entirely obvious right and so the the guard rails and the adjustments um have
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an intuitive link to that risk that we saw earlier which is hey if risk is down a certain amount
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i want to be able to let my clients know and if risk is up i want to be able to let them know and that it's time to make
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a change the problem is this can work this can
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seem to work okay for kind of a simple plan that just has portfolio withdrawals we'll actually see that even in this
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case it actually doesn't doesn't scale across time but if this were the the the kind of plan that we
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were always doing at least at the beginning of the plan we might it might have some legs for for a short amount of time
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um the problem is we want a system that will scale all the way to fully complex
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more realistic income plans um like this one that has a couple of social security
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income flows some portfolio withdrawals it has the retirement smile and you can see the shape of the planned
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portfolio withdrawals is anything but constant and so we're going to see this as a this
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is a big problem for something like withdrawal rate guardrails
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the first problem has to do with how the risk of a particular withdrawal rate changes
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over time so this is actually a problem even for that simple plan
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with with just flat inflation-adjusted portfolio withdrawals
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so what happens as we age as clients age is that the length of a plan
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will go down right even if we keep longevity risk the same so let's think
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of longevity risk as the risk that um you live past your
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plan your planned uh your plan horizon um so if it's a single individual you
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know you could maybe have some um some life expectancy numbers if it's joint it would be you know the chance that at
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least one person lives past um that joint life expectancy um but regardless
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if we keep longevity risk constant then this um kind of darker blue line that
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starts uh up on the left around you know between 30 and 35 so that's the joint life expectancy
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sorry not life expectancy but it's it's it's the plan length if you were planning um
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for i believe i grabbed these numbers as a uh basically a 30 chance that somebody
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lives longer than that right so that's your your longevity risk here is 30 30
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chance somebody somebody goes longer than that but over time if i keep that 30 percent risk the same of course as these as
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these individuals age the the plan length would come down now it's not one
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for one if we live a year we lose slightly less than a year
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in uh life expectancy so we get credit for having survived that year right um
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but as this comes down we have less and less time that we have to fund that means that the withdrawal rates
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that are available at any particular risk level or you know sticking to the success and failure
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paradigm success rate um those are going to go up right again
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this is this is fairly intuitive right and um so we can see if if all risks
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were kept the same longevity risk and you know success and failure estimates
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the withdrawal rates that we can actually afford would be going up over time no matter what risk level we chose
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and so we can see why this would be a problem for withdrawal rate guard rails
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it's great that withdrawal rate guardrails have an intuitive link to risk but the the actual values
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um if we wanted to keep that link to risk would have to change over time right so we can't apply static
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withdrawal rate guard rails in a world where risk um where where the amounts available
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actually are changing even if we kept risk the same all right so that uh kind of dummy uh example i had
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earlier of 4.7 uh is the middle and then four and six are the are the guard rails
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um if we superimpose that on these rising withdrawal rates
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we see that you know let's imagine we started on on the at the green line here right just under five percent well by the time i'm let's
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call it you know 66 67 um
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even if everything had to stay the same sorry if i if i were taking that 47 000
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and now it were a six percent withdrawal that withdrawal rate plan would be asking me
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to take a pay cut when in fact nothing has changed for me risk-wise i
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have exactly the same risk as when i began the plan right and so you know and you could
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even imagine a situation where um this this would be triggering a
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reduction when in fact my risk has gone down right maybe i'm now i'm 68 69 now i actually could have a pay
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raise but it would be asking me for a pay cut right so by ignoring this that the way that risk and withdrawals and
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and um and life expectancy interact as a plan proceeds
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the kind of static withdrawal rate guard rails would really do a disservice to this
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to this client but of course it gets it gets worse um
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so often a plan will have planned changes in spending which would translate into planned changes in
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withdrawal rates um over time so this is you know kind of a familiar picture of
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the of the retirement smile it's uh reflects the idea that people would
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spend more early in their retirement when they're typically younger healthier more active but that on an
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inflation-adjusted basis that spending would come down over time um and then potentially take up at the
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end of the plan and you know this this is can be very
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attractive to people both because it does reflect what is intuitively kind of a normal life cycle
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but also because it provides more income available toward the beginning of the plan when you need it the most so it
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can make you know assets and resources you know go farther for a particular
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client or it could you know bring risk down basically um you'll see here that typically
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15 to 20 percent more income toward the beginning of retirement is available if somebody plans with the
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retirement smile so very attractive however
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we would now be in a position where we can't track withdrawal rates and know
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whether a change in withdrawal rate over time was planned or unplanned and we
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only would want to react to changes that are unplanned changes where things have gone worse than expected or better than
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expected so an example is here if i began withdrawing 174 000 a year at the
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beginning but in about 10 years i'm i'm planning to have 150 000 in today's dollars
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um i i wouldn't know um you know 10 11 years from now
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let's say my balance has gone from 3 million to 3.8 million um would i
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you know given that my rate is now 3.9 percent would i then get a pay raise because it's under
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four or is that just that was the original plan anyway so we shouldn't make an adjustment
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um in order for this to to work um we would need to know
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at every single point in the plan what the guard rails are so in this place case i i plan for higher income because
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the the uh the retirement smile gives me that right so now i have a target of four five
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point seven percent um i'm supposed to increase it at four point three and decrease it at seven so i kind of raised
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all of the guard rails and things a little bit but it's still not clear to me what i should do here right is this a
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time where i should leave everything the same or is it where a place where i should adjust in order to know that we would need
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an incredible incredibly complex set of tables of withdrawal rates
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and of course it gets even worse because um i would need a different set for every possible
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combination of ages and and portfolio balances portfolio allocations and fees
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and longevity goals and plan links and so on um
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but what truly makes it uh unworkable is uh is this pattern that we often see
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with retirees who retire maybe in their late 50s early 60s even mid 60s and are delaying social security
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so in this situation um think of this as like uh
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you know like like a swimming pool with a deep end and a shallow end uh now this one happens to have a drop off right
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well we have to fill in the deep end of the swimming pool with portfolio withdrawals with water right
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but it's going to be shallower once we get into later later in the later in the retirement and so here
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focusing on withdrawal rates uh is again going to be very difficult right at the beginning we're taking 67 000 a year one
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social security kicks in mary's here then we're going to drop our withdrawals to 55 000.
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um john social security starts we're down to 24 000. we have the retirement smile superimposed on top so so much so
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that 24 years from now we're actually planning for 10 500 in withdrawals so um
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this shows how a focus on withdrawal rates although it's really useful for research purposes um
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we really need to step away from it when it comes to realistic client situations in fact it's even
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beyond you know showing how uh withdrawal rate guard rails are unworkable for a situation
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like this um often you know maybe clients have read articles about what a safe withdrawal
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rate is um and so they'll wonder what what the plan's withdrawal rate is you know unfortunately this is exactly
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the kind of situation where we might have to kind of walk them back from that that sort of a focus right
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because maybe if they have a billion dollars let's say it would look like a 6.7 withdrawal
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right here and it is at the beginning um but that's really we don't want clients to fixate on the
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withdrawal rate because it's not representative of the plan's risk overall right it's it's going to be
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we're planning for the sources of income to change over time and so that's it's just that's not a a piece of data
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that's going to be very useful in in this plan
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okay so what's the solution to this um the solution is to
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um base the income adjustment plan on the concept of income risk right so what
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we i said earlier you know some of the some of the really nice things about
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some of the more you know quote unquote traditional approaches to dynamic income planning strange we call them traditional since they've only been
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around for maybe you know 20 years at the most but uh one of the nice things about them is
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they tend to have an intuitive link to risk at least when you're looking at a
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simplified plan one that's only being funded by portfolio withdrawals for example so we don't want to lose that
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that that's the key the key is that we want to react to changes in risk when the risk is
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has gone far enough in one or the other direction that it would be prudent for the client to make an adjustment and
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that it would be worthwhile so what is income risk it's simply the chances that the current
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planned income or spending will not be sustainable without
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adjustment in the future um now probably a lot of you have already
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realized well that's just you know basically probability of failure right but you know derek and i have talked
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elsewhere and many times about how that particular framing is really
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a problem i also talked at the beginning of this webinar about that so um i think
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kind of abstracting from it and saying hey you know how risky is our current kind of income behavior spending behavior that's income risk and it's a
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combination of everything it's a combination of non-portfolio income sources and characteristics things like
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the timing of social security or the you know inflation treatment of a pension it's a combination of things like
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portfolio balance allocation fees spending and legacy goals coming to play here the length of the plan certainly
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comes into play here right um so as an example if if nothing changed and i simply lived 10 years but i was still
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taking the same income from the same portfolio balance risk has gone down right we saw that earlier with with how
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those those withdrawal rate curves go up so that's that's income risk and we want
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to base our our income adjustment plan on that so the structure of a risk-based
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retirement adjustment plan would have kind of a target risk level
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and because this is a dynamic plan one where you'll adjust before you you know
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even get to the cliff's edge let alone run off it typically we'll see people explore plans that do
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have a risk above zero right something greater than uh you know estimated no chance that this
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that you'll have to adjust down um so maybe it's now there are people where that's appropriate right either they're
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particularly risk-averse or they just don't need as much spending so another nice thing about this kind of
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paradigm is there's really no right answer for everyone about what the the right adjustment plan is for them um but
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the example here is let's say you know maybe we target a risk of 20 if that risk ever comes down to zero
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meaning now we're predicting that if you kept doing what you're doing you'll never have to adjust right so you are you have a huge buffer
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in your risk then we'll raise income raise spending um in practice that might be
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um yeah you can you can you know take that vacation you can do that project or it might be you know live a little go out
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to a few more meals um you know buy the nicer wine whatever it is
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and if risk goes up enough then we will cancel tightening the belt so in this
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case let's say that you know risk goes from 20 to 70. right now there's a 70 chance this isn't gonna work out without
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an adjustment still a chance you could make it right but at some point risk will have gone up enough that
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you'll say well uh i'm gonna go ahead and make an adjustment now you know even though it's not a sure
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thing i'll need to i'm gonna make an adjustment now and so that's what that's what this would be and then that change could be
29:14
all sorts of things but clearly you're moving if risk is high you're trying to move your risk lower if risk is low you're moving your risk a little higher
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and then what we want from this is um is a
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possible kind of a a landscape that clients would move through that keeps their income kind of
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in a in a reasonable range for them right so maybe it's a range where
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income never goes below a certain kind of floor
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a level of essential expenses that they have uh have figured out right so we want to always
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we always want to kind of balance the the goals of standard of living and legal and experience goals risk
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tolerance goals um to provide these these income experiences and so you'll see here you know this is uh
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just an example with um i guess six different um possible ways
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that that income could go for a for a dynamic plan you see um you know some stair steps up a few stair
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steps down those are the income adjustments up or down over time
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so one of the things that i said we would want out of a scalable
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you know robust approach to income adjustment planning would be that we could
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communicate it well and it would be understandable to clients so
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the process to to getting there is we would
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estimate risk holistically in this way that i just laid out right put everything about the plan
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all of its special features together and estimate risk um
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we would target an income plan that fits the household's risk preferences so again there might be people who who say
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look i i i never want a call from you that says it's time to to tighten my ballot
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now you can't guarantee them that but you can say well then we'll plan to really minimize that that likelihood
31:19
right or and and by the way what that will mean for them is they'll have to spend less now
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right or it might be someone who says look i'm i'm young i want to live a little i can
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i can absorb a reduction in my spending in the future if i really need to but let's let's go for it um so you want to
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target an income plan that that fits them um and then you want to build contingency plans
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the guard rails that are also comfortable for them so again somebody who's more risk averse might want that
31:50
guard rail that says it's time to adjust down um they might want that guardrail to be pretty far away right and there
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are ways to do that so basically allowing risk to go
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to have a big buffer before risk is high enough that they would have to adjust
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and then we want to monitor this plan regularly and then we
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we would communicate the plan as much as possible in dollar terms so there's all sorts of analytics going on down here
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we're estimating risk or you know there are probabilities and things involved but we want to communicate in a way that
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sets the expectations in an understandable way so for example here we have a 2.2 million dollar portfolio
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um their particular target income level their risk level
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puts them at taking thousand dollars of income per month they're going to pay some
32:45
taxes in that they're going to spend spend money out of that and by the way this income word it's total income right
32:52
it could be a mix of all sorts of things not just portfolio withdrawals right so we don't want to immediately have people
32:59
you know divide um 14 000 by 2.2 million and get their withdrawal rate it's not right there are
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other income sources in here it could be a rental property certainly some social securities and so on
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and then most importantly we want to set expectations about what could make this
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uh this income level change and so here we see the income adjustment
33:22
plan where if the balance goes up by five percent they would be allowed to spend more if it
33:28
went down by 20 percent they would have to tighten their belt and crucially you will see
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these uh these income guard rails change based on the plan for example if
33:41
a plan is heavily funded by social security and where portfolio withdrawals are playing a much smaller role you
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might see a much larger gap toward the uh the income decrease
33:53
right it might be a 30 or 40 decrease needed for an income adjustment down because so security is doing a lot of
33:59
the heavy lifting on the other hand if you have you know much more of your portfolio or your
34:06
retirement income is being funded by portfolio withdrawals you might see those guard rails be a little bit closer
34:12
this is also you know the advisor would have total control over what exactly these guard rails are right so if if
34:19
increasing at a five percent um increase in the portfolio seems a little too close we'll just just move the
34:24
increase uh trigger a little farther away right say hey i get it things would be going in a good direction if this
34:30
happened but we're going to wait a little longer until we take take the increase
34:37
um it's important though not just to set short-term expectations of hey what what
34:43
could cause over the next let's call it a couple of years a change in our income and change in our
34:48
spending but also kind of a longer term view right because obviously a plan could have more than one adjustment over
34:55
time at the very least we would expect to have multiple inflation adjustments over time right but we probably would
35:02
have more than one kind of risk-based adjustment as well so what kind of could the whole income experience look like if
35:09
following um a dynamic plan of this sort of risk-based
35:14
plan and so this is this is another way to to kind of set those expectations
35:19
more long-term expectations for clients so here you know what we do at income lab is
35:25
we simulate uh this plan playing out over the full length of the plan
35:32
taking income adjustments when the plan calls for it right raises when it calls
35:37
for it and pay cuts when it calls for it and then we just say hey overall compared to what we had originally planned you know how often did i get
35:44
more than expected how often did i get less than expected in this case this is a relatively conservative plan so 88 of
35:49
the scenarios with total lifetime income above plan on average 26 more right so you know a
35:57
nice set of uh income increases over time um but clients will often want to focus on
36:03
the downside which is which is fair enough right that's that might be kind of the risk of version coming into play
36:09
and there were scenarios in this case 12 of them then ended up with less than expected overall but on average it was
36:15
only three percent less which you know depending on the plan in the household that that
36:21
may or may not be something that they would notice twelve percent below that probably would be something they would notice but crucially this is a place
36:28
where we can kind of you know paint a picture that shows hey even um you know our estimate of a really bad
36:36
scenario is not total financial ruin right this is something that we you know
36:41
could maybe absorb and if it's not something that a household feels they could absorb and you think you know kind of the very tail end the worst case
36:48
scenario is something that's worth looking at that's a time to go back to the plan and maybe make it a little more conservative
36:54
we don't just want that overall picture though we also want to be able to set expectations of
37:00
kind of what this could feel like in terms of adjustments how often might
37:05
i see an adjustment right so the cadence and how large could these be
37:11
now this is a wide range of simulations so we get some some pretty wild stuff in here but on average
37:16
they're seeing an increase every 1.2 years for this plan right now this includes inflation adjustments right so
37:22
this is really helping clients understand hey how often you know in my annual meeting or
37:30
um you know how often am i getting a phone call saying hey we're we're recommending make
37:35
an adjustment um it also gives us a range you know the the 90th percentile is probably the best
37:41
thing to look at here of okay normally that's between 5 and 10 on the upside between 0 and 8.3 on the
37:47
downside and you'll notice that the downside adjustments are much less common um
37:53
although if if there are downside adjustments you may tend to see a few in a row right maybe it's a 2008 situation
37:59
or something like that okay so let's kind of summarize the the view of
38:06
these total risk guardrails they are actually easy to communicate if we abstract away from the you know the
38:12
hardcore analytics and just focus on dollars and you know a few other um ways to kind of paint the picture set the
38:19
expectations most crucially it handles the complexity of real life of different um
38:25
of different income sources of the fact that we age and our longevity expectations will change
38:32
it it is a way to track all of the the uh interrelated parts of the plan
38:39
it allows us to keep communication at that higher level of abstraction because you know risk is the point of even those
38:46
kind of more traditional approaches to uh to retirement and complaining with adjustments
38:51
and maybe most importantly it actually scales across clients and across time so different types of clients you know
38:57
totally funded by portfolio withdrawals barely funded by portfolio withdrawals with the retirement smile without the
39:03
retirement smile um delaying social security not delaying social security all of that is is is you know
39:10
easily handled in this kind of a paradigm and crucially across time so as
39:15
we kind of live okay first we're taking portfolio withdrawals then social security starts
39:20
that will have caused a change in the risk profile right they've gone from kind of somebody who had fair uh fairly high portfolio withdrawals so
39:27
maybe more sequence of return risk to someone who's now planning for lower portfolio withdrawals lower sequence of return risk so it's scaling across time
39:34
for the same client as well so that's uh that's kind of an overview
39:40
i think uh derek i know you uh you use this with with clients i if you have uh
39:45
any any comments on on how this is played out for you um love to hear
39:51
yeah yeah so for me you know really when you're meeting with that client who's pre pre-retirement or in
39:57
retirement i think there's just there's so much confusion around income and how do you generate it and
40:03
all that and i've actually found it kind of interesting i was thinking as we're going through this today that for a
40:09
number of people i mean uh talking in terms of income just total income this
40:14
is how much you actually get to take home here's the guard rails it's actually so much simpler than
40:20
so much of the stuff that's out there that actually people who some prospects that have come to me and tried to do a
40:25
little bit of their own homework like sometimes i have to even kind of step them back because they're like well you know trying to compute the withdrawal
40:31
rate and things like that from the portfolio but showing them now okay actually show a visualization of here's how your
40:38
portfolio withdrawal rate's going to change if you want to kind of achieve this constant
40:43
level of spending for our retirement and smooth that out so
40:49
at the end of the day i do think it's really powerful way to show that um it
40:55
has been um just you know in some ways so much simpler than everything that everybody's
41:02
trying to do and compared to probability of success and it's just these withdrawal rates when you're not accounting for you know
41:08
what's happening and the rest of the income picture that uh yeah there has been some
41:14
additional and just coaching somebody that it really is as simple as that and that's where i
41:19
like to keep my focus because you know getting lost in the analytics and the weeds of it and it's over the head of
41:26
at least 95 percent of my clients not a very very useful way to spend our time and i'd rather
41:33
just talk about you know here's a good strategy for you look at the long-term metrics is it somebody on that path
41:39
um you know make sure we get the long-term strategy right but then managing the guardrails and now it's
41:45
time for an increase or decrease and keep the conversation that simple
41:55
all right i think we've got a little bit of time for for questions looks like we've got quite a few so not
42:01
quite got quite a few i will uh i'll start walking through them uh first one here is kind of around the asymmetry of
42:09
the guardrails um so uh the user noticed in one of the slides so four point seven percent withdrawal rate six and four
42:15
percent guard rails means the top guard rail is one point three percent higher and the four percent guard rail is 0.7
42:21
percent lower this is a asymmetrical um symmetrical guard mills guard rails
42:27
would mean the same difference for the upper and lower guardrails can you just explain the logic behind kind of setting
42:33
guardrails um yes so i would say and i'm trying to
42:38
find what where my uh where my little example was uh i think it was this one right so
42:46
so um this was really just a just an example that i pulled out of thin air um so so
42:52
it wasn't necessarily something that i would have uh implemented um you know in an actual client
42:59
situation and as we saw you know these withdrawal rate guard rows really are not something that you can apply over time um however
43:06
the the asymmetry is definitely a thing and so we see it here where
43:14
the um income decrease plan is much farther away right it's going to take more of a
43:19
change to have an income decrease than it would um to have an income increase
43:25
and that's simply by design here right so this would have been an advisor who thinks um that that asymmetry is
43:31
reasonable for this client's risk profile i would say that's typical i don't know derek what your thoughts are
43:37
on there it would take like a real you know spock like vulcan you know purely rational uh person to say no i want it i
43:44
want to be right down the middle i want a coin flip on whether i'll be increasing or decreasing um again maybe that person exists that's
43:51
fine no i i do think it's um
43:56
when i'm working with clients the the focus of the clients tend to be much more on the downside in my opinion
44:02
the upside is nice it's great to be able to get get an increase but i even have clients that you know
44:08
have told me they they would take an increase if they if they got to it or maybe they maybe
44:14
things changed down the road but right now they're like a guy would have got i can't imagine living more or spending
44:20
more and i'll leave that to my kids or my family or charitable organizations but um i do think there is
44:27
that asymmetry is normal and again just a note like as justin mentioned you can go in and
44:32
you can adjust that in the settings if you don't like the asymmetry that's there don't think that fits well for the
44:39
client situation yeah we may have a question on this
44:45
obviously you actually just just answered the next question which was can we set the except acceptable risk levels
44:50
in the software yeah so if you know typically like the workflow
44:56
would be you know we define everything about the client including the risk tolerance longevity risk and income risk
45:03
tolerance and we get this kind of first first cut right and we say okay are
45:08
those is that where we want the guard rails i mean both in terms of well is maybe
45:14
you know 20 that's that's a little too close so i want to adjust the risk to to give them a little
45:20
more buffer or maybe five percent is too close so you say look we're not going to take a a pay raise you know next week
45:26
when we have uh by the way actually income lab runs these monthly so so you do need it's a it's a monthly cadence so it's not like
45:32
we're checking every second to see if you're up five percent um but you might push that guard rail out
45:38
um and and in practice what really happens when you hit these guard rails is it's a it's a time when you know a
45:45
conversation is going to be worthwhile right because sometimes even on the downside you might say well rather than
45:51
taking a pay cut we're going to take that million dollar legacy goal and drop it to 100 000 or something right i mean
45:56
there are other levers someone could pull in that situation
46:02
awesome and then put note on that too if somebody would want to get really precise it's in the advanced settings
46:08
that they would go into to adjust the the guardrails right just blank that's right yeah in the income
46:13
settings there's a place where you can say customize income settings and then you know go go wild
46:21
and then uh next question here is how does the software incorporate social security cola increases
46:28
yeah so um for one thing we didn't talk about in the webinar but you can you can set a plan
46:35
to be monitored um by the software so we call that implementing a plan and that means once a month we're we're
46:42
re-running the plan and checking whether any guardrails have been hit whether any um you know uh
46:48
inflation adjustments are necessary and so on all of that is you know an advisor can set the thresholds
46:54
for those right we're not going to make 0.1 inflation adjustments um and so in
47:00
january um we will adjust the social security flows in the plan by the
47:06
um by the that year's social security cola i think that's actually set to be
47:11
announced in october i've seen some fairly eye-popping numbers uh for this year we'll see what what actually
47:18
happens but it'll it'll kind of do that automatically um to to make sure that we're keeping it on
47:23
track um yeah and then that next question here is uh can you speak a bit about how the
47:29
investment location affects the guard rails for example does having twenty percent of their assets in an annuity
47:35
versus a hundred percent in an ra affect the results
47:40
yeah um so the interaction of taxes and guard rails
47:47
is um is kind of interesting uh in in a way uh
47:53
like the guardrails don't care to some extent whether let's say you
47:59
have a you know 60 40 portfolio in an ira or in a in a in a taxable account because the the
48:07
the sequence of return risk would be very similar i understand that there might be some kind of ongoing passive taxes in the taxable
48:14
account um so the gross amount that you're withdrawing for your from your portfolio is the same what really would
48:19
matter there is the net spendable amount right and so there is this you know
48:25
retirement income planning is is kind of incredibly complex there is this really unfortunate place where really
48:32
the risk of your withdrawals depends on your gross withdrawals
48:37
whereas the experience of your withdrawals depends on your net of tax withdrawals right so
48:43
it's kind of a place where things don't match up exactly right and this is a place where people will tend to do a
48:48
little bit of um you know a b testing on different approaches to um
48:54
distribution strategies for example whether you're taking from you know taxable accounts first text deferred accounts first
48:59
and so on to kind of zero in on a plan that works from a net perspective as well but yeah the
49:05
the risk tends to be focused on gross gross withdrawals um
49:11
there is a setting in the software where you can say well hey i want to define my gross my net withdrawals you tell me the
49:17
gross withdrawals tell me the um the risk profile of that and and so that's if
49:23
you're really focused on net withdrawals that's that's the way to do it once you've figured out okay
49:29
it looks like they can afford roughly you know ten thousand dollars a month um maybe solve for that income and and the
49:36
software will gross up for for taxes awesome and then uh next question here
49:42
is what if a client would rather adjust or increase their portfolio risk than reduce their income how can you adjust
49:48
that so that there's only enough additional exposure to keep income at equilibrium
49:54
yeah that's another these guard rails hitting a guardrail is really a time to have a conversation
50:00
right so if it's on the upside um someone might you know like derek said they would say well look i i don't know
50:05
what i would do i mean maybe they can't find a one-off expense right but it's not that they're going to raise their their total
50:11
standard of living forever so now um maybe that's an opportunity to say hey i know you were you know
50:17
uncomfortable originally with this level of stock exposure actually you could afford a little less stock exposure
50:23
right so you can make an adjustment there or vice versa right if if if you think it's prudent to to increase stock
50:29
exposure at some point for example so my example earlier was changing the legacy goals um
50:35
you might change some some spending goal right maybe there's a particular spending
50:40
goal that you had like you know funding a grandkids education or something like that where where that could be changed
50:46
as well so there are a lot of levers in a plan that can be that can be used
50:53
to to adjust risk the plan itself would be calling for changes in spending changes in income as the lever to keep
50:59
risk on track but um in practice people are going to pull other levers as well
51:05
and i think this uh question is kind of a follow-up thing to that point justin it says that if a very risk-averse client couldn't
51:11
handle the worst case downward adjustment what is the best way to look at modeling modifying the plan in a live
51:18
meeting so i think it's back to kind of those levers you mentioned yeah i think you
51:23
know you'll need your your bag of tricks on what kinds of things you you believe are are good to use for for those kinds
51:29
of clients um you know there is you can even right there just move the
51:35
income setting slider just move it to the more conservative side to get a quick hey let's instantly make
51:41
a more conservative plan that'll reduce income reduce guardrails and so on um so i think if i were doing in front of a
51:48
client that's probably the place i would go um there are you know depending on your your approach
51:54
there are ways to kind of put floors on on income and so on um but that's that's probably if i were
52:00
live with a client that's what i would do yeah just to add to that
52:05
live with the client that's the most useful thing but then also to note that you can go
52:10
into the um when you're looking at the long-term income experience and you can see
52:16
okay we move this over you're going to see the short-term guardrails but i also i would also hop over to the
52:22
the long-term impact to see if this now fits better for what somebody could tolerate
52:30
and then uh this next one's interesting it's uh how easily can an advisor track whether or not the client is following
52:35
the guardrails advice um
52:41
so the way that income lab tracks guardrails uh is people have asked us before hey do you do you track spending
52:48
kind of in like a mint.com sort of way um and we don't um
52:54
you know i that that would be a really cool feature but um what we'll see is you know if you spent
52:59
less than your plan your portfolios will be higher than expected if you spent more than your
53:05
plan your portfolios would be lower than expected and that's really all that matters to this so
53:12
for example um during the pandemic probably a lot of people you know canceled vacations they went out less
53:17
they you know so they just spent less and so you know a lot of people would have seen kind of risk going down so
53:24
their kind of situation getting more and more positive through that period um
53:29
at least from a financial standpoint um and and and that would naturally been captured if you were monitoring the
53:36
the plan um but you know yeah we're not um you know kind of tracking credit card
53:42
spending and things like that um and the next question here is more
53:48
around um kind of the taxes of the software is um does the tax bracket management try to use all of the tax
53:55
bracket i.e 20 each year or does it try to average them as close to the 22
54:00
overtime no it's um so bracket management is just
54:05
trying if there's space within the targeted bracket which is the federal one of the federal ordinary brackets
54:12
if there's any space left once you've already had all of your uh you know income from pensions and
54:18
social security and everything else and then taking the withdrawals that you need
54:24
to to meet the plan if there's still space within that federal ordinary bracket it will figure
54:30
out how much of a roth conversion you could do and still be inside of that bracket
54:36
so so that's that's the way it works it's not trying to give you an average of that level um
54:43
and really it's not even saying you know if there is no space in there how could i have you know gotten down to that
54:50
level right it's only if there's if there's you know a kind of a space left in the bucket
54:59
awesome uh this another interesting question but more um again back to taxes is uh this advisor's
55:05
notice you know there's clearly some difference between income lab and income solver is there anything income solver
55:11
does that you don't for example would you say your roth conversion planning is as robust
55:18
um i'm not um you know intimately familiar with income solver i would say if you're seeing
55:25
differences between um income lab and any other you know planning related platform could be a
55:31
generalized platform or anything often those differences are related to you know capital market assumptions
55:36
growth assumptions inflation assumptions all sorts of things that you know are important very important but are kind of
55:42
you know superficial compared to the um the the analytics themselves um
55:48
so i don't know if any anybody has other you know if you have more more experience with income solar i know that
55:54
they focus very i mean the point is uh is to do tax planning um
56:00
so i guess probably one of the biggest differences is that you know income lab is focused on uh dynamic
56:06
uh adjustment based planning as well yeah if you have any users who have experience or direct if you have
56:11
experience please share if we have any users who do have experience of both please share that in the chat as well um for those people
56:18
attending i was just going to quickly say i don't have experience specifically with income
56:23
solver but in general there are times when i'll i'm using multiple software programs and
56:29
i might compare the you know the roth recommendations between two and i might say
56:34
so much to me rock conversion planning is as much art as it is science and would the client even
56:40
be willing to do the whatever the software is recommending sometimes it's more aggressive so i i
56:45
kind of like to sometimes you can look at those different results if they're different try and figure out is it the capital
56:50
market assumptions what's what's driving that but oftentimes that's just instead that's it but it is um
56:57
sometimes helpful to kind of see it from multiple perspectives and make sure that it's aligning or things aren't just
57:02
totally out there and then investigate further see what might be driving that
57:08
yeah and typically you know like if you're using so income labs tax center is really
57:14
the the goal is to help you build a a long-term income plan and hey you know is this a better way to do taxes or not
57:22
we do have
57:29
derek i think i lost justin or is it internet on my side i think i lost justin
57:35
we may have lost we'll see if he comes back oh justin are you back
57:42
i never left i don't know we did we didn't lose you on our side
57:47
for about 10 seconds or so i was just saying you there are some
57:52
areas to find actual estimates of like the amounts you would convert for roths
57:58
clearly you're going to want to to double check those right because it those are based on you know estimates of how much you would have in dividends or
58:06
how much you know all sorts of other things would have happened that year especially these days when re um
58:12
so what's it called re-characterizations aren't um available you'd want to be pretty sure
58:18
before you do good uh you know large size roth conversions yeah and just from a practical
58:24
perspective how i i'll use like income lab for that long-term strategy to dial that in but then i personally use
58:30
holistic plan i like to jump into that software and like really fine tune based on the client's return and income that
58:35
we know for the year to take that shorter term view is how i approach that awesome and i
58:41
know we're up on our last minute so one last question this one was uh received another vote so i'll throw it out there
58:47
um this uh user said that real life has left being lumpy spending house remodel
58:53
trip to europe new car how does income lab take this lumpy spending into account
58:59
yeah we call that other or variable expenses and it's it's super important so you put that into the plan
59:06
as hey this is one of our spending goals one of our lifestyle goals right and then the plan will adjust for that
59:13
which i think is is a real power of the total risk guard rails compared to something like the
59:20
um withdrawal rate driven guardrails where it's assumed to be constant because that just doesn't match reality right good
59:26
point all right guys well hey we are up on our time thanks so much again for a great
59:32
presentation and for a great q a for all of our users thank you again for attending and for your great questions
59:39
today um just a reminder that at the end of the webinar you will immediately get the survey to put in your cfp id um your
59:46
information so that way we can make sure you do get your cfp credit uh ce credit for attending this webinar otherwise
59:53
please be on the lookout for our follow-up email with the recording um email uh sorry with the recording link
59:59
justin i know people ask for the slides as well um you and i talk and we can probably add those slides on to that follow-up email as well and then for our
1:00:06
invitations to our webinars coming up next month all right derek justin thanks guys hope
1:00:12
you all have a wonderful day
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