This from a PhD-pension-dude yesterday to someone else about my last post: "...he could use some help..." Heh. No doubt. But probably not in the way he thinks. What I need help with is getting firmly into what I call act IV of my V-act life and/or monetizing what I've learned. What I need less help on is blogging or retirement finance. And anyway, PhD dude is still young and getting paid. He doesn't feel any of this in a real way yet.
Here is an example of why I need very little help. Over the last 7+ years I have done what, for me, is some complicated stuff here on the blog. All of it was almost 100% curiosity and self-learning -- with the blog as reportage of what I was trying to pick up along the way. Does any of that complicated stuff matter and do I use all that stuff on my own retirement, at an age that, at less than 65, is still a little risky? No, not really. I even got a figurative eye-roll once when I mentioned that all I use for myself was:
- A balance sheet (with actuarial but not stochastic elements)
- An income statement (basically a 12 year record of what I spend)
- A "spending process control" chart
1. Balance sheet.
This is pretty much what one would expect. Assets and liabilities tracked over time. I also keep track, by "account," of value, title (though less important now when divorced), location, beneficiaries, etc. The BS is also actuarial in the sense that I estimate the PV of flow items like SS and spending. It is mostly not very complex since I do not have weird business entities or a lot of private placements, though I used to. So like this
Assets
- Cash
- Investment accounts
- IRA
- Stub of some direct private investments now worth zero
- PV of SS discounted at an inflation rate and then cut in half...because: no trust
- 529 Plans sorta jointly held with ex
- 1 tiny bitcoin
- Hard assets[1] like home, car, etc.
- Any pending tax liabilities
- A small mortgage with some time still on it
- Other hard debt (borrowed from myself, but on a firm schedule)
- Education obligations to kids for independent schools and college[2] (soft liability)
- Deferred maintenance [3] (soft)
- Some other reserves (soft)
- PV estimate of spending (idk, this is kind of a hard liability but subjective)
2. The Income Statement
This is again pretty much what you'd expect. I mean, I complicate it as is my habit, by making it formal, like a small company where I'm CEO -- I even have a type of EBITDA -- but basically it is a record of my spending sorted into categories and tracked monthly. I've never really understood those that don't track these things but whatever, people are different.
3. Spending process control
Whatever the academic papers say, spending is random and has, at least behaviorally, some correlation to wealth, either directly by some rule-set or indirectly by the sense of unease that comes with large market downdrafts. That means it is a random process over time and adjusts to the environment (or filtration I guess if we are talking math). It can vary, it can drift, it can jump, it can step down or up, goals and policies change, etc.
In addition, the "policy rate" of a "proper" spend changes with age, wealth and other external factors that can influence it. What policy rate? Used to be 4%, right? But 8 years of doing this tells me that there are many rates depending on what theory/model you use and how old you are. There are 3,014 optimality models (I made that up) so I have to choose carefully. Actually, what I do is triangulate a policy rate using everything you see in this blog and come up with some rate that makes sense to me personally now and in the near future. I then create a zone of acceptable spending around it because over some smallish range it probably doesn't matter too much as long as I have the ability to: a) know when I am at or near being out of bounds, and b) self correct.
Those seasoned in continuous process improvement or 6-sigma will recognize this as a type of industrial process control, a Deming cycle. And so it is. If my spend rate, which is a function of both wealth and spend dollars, both of which are random variables btw, is random, then I must watch it to make sure it is within my "policy control boundaries" and under control. I also, of course, complicate this by adding 2-std dev boundaries, like bollinger bands, to add to the process control but I've never really used that info. I won't much elaborate here -- I've written on this before -- but will illustrate it in a rough way like this:
This chart, which I update monthly is the "check" part of the Deming "plan, do, check, act" cycle. The "act" part might've been 2012 when I cut spending by half - yep - to get into a controlled process. I will admit that this is way more anal than most people will put up with but the trade-off, for me, is that every month I have great confidence that I am doing ok or I have great certainty about being or trending out of control with the knowledge that I can nudge myself back into the zone. The real test however, since spend rates vary with denominator-wealth, will be what happens if markets halve. But I've done drastic change before and I'll do it again if I have to.
The astute will realize that in pure-form optimization, spend and allocation are a joint choice. Yes, but since: a) spending for me is a zone not a number, and b) I seem to care less about allocation (now) than other people (I also think that is a "zone" issue as well) then for the most part if I am sailing in the middle and not at the edge of the earth I generally feel ok even if it is not "optimal." I am not a pension fund with legal obligations to the liability, just moral obligations to my future self and kids. Those are more tractable...I hope. Nor am I an asset manager trying to eek out miniscule differences in expectations of Sharpe or Omega ratios, though to pat myself on the back I'm pretty sure I could've attracted some capital with what I used to do. Too old and lazy for that now, though.
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So, literally that's it. I mean, yes, every time I do some weird new thing on the blog, I will generally check it against my own personal situation, but for the most part I don't do much with all that complexity; it was all just a curiosity thing anyway. "For the most part" now I just want to live -- take care of my kids, spend time with my gf, move to Montana in 3y, study art literature & philosophy, create some post-covid social connection, etc. -- and not live in some kind of fearful retirement hold-my-you-know-whats death crouch. These tools above help me manage a calm life with the cost of just a tiny bit of data collection and charting every month.
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[1] I split my house in two, fwiw: 80% is non-monetizable and 20% is potentially monetizable if I downscale. TBD.
[2] I've had a model for 2 decades on what I would if I could and if they will spend for college. Details are not important it is just that as a "soft" liability it was once a large number and getting smaller, but not small enough, by the year. I could disclaim this but why?
[3] I stopped spending on my house for a while in 2012+ and then realized the spending doesn't go away it just gets pushed.
[4] I track the time-weighted value of NMW so I can back out consumption and compare my estate to benchmarks. Given that it is NMW and not assets this is a custom prop benchmark not discussed here but it works pretty well for at least the last decade.
I agree with your conclusion that month-on-month spending is extremely variable. My own findings are that once annualised spending is considerably less variable and that integration over a period of several years produces, for us, a discernible "shape" to our own household spending.
ReplyDeleteYour spend model (or "shape") intrigues me.
The sketch implies (at least to me) that your spend is on some form of upwards trajectory or is that just an artefact of the sketch?
Good questions. I've only been retired for ~12 years so small numbers of years prevent strong conclusions about my annual spending variability but yeah, it'll wash out and If I lived 1000 years maybe it's normally distributed and narrow dispersion at annual level, idk, probably. On the sketch: that's a chart assuming a horse-race between a 60, 70, 80, and 90 year old each with $1M at a common start so it's for "constant wealth" (terrible assumption btw in practice): the spend rates go up due to age going up and longevity risk coming in. For me in real life? My spend is more likely smoother due to habit or disposition or obliviousness. Blanchett (2016) and Banerjee(2014), separately, made cases for a declining spend with a bump at late ages and I think that's really how it goes. But I wrung my lifestyle almost to the bone in 2012 so it's more likely for me to stay level in spending or rise as I age. Also I do not currently have any non-SS life income and am relatively young so I am very circumspect with spending now as a reserve for longevity risk. This, in quant terms, became obvious in this Reinforcement learning project, figure 5 https://rivershedge.blogspot.com/2020/02/increasing-machine-interval-of-interest.html That figure matched the lifecycle model idea and is probably where I'll be: low now, higher later, lower much later. The sketch also was a policy representation on spend rates and the boundaries I think make sense at any given moment. I'll reset the policy every year or so and who knows if it'll be up or down. idk maybe I'll be in a gulag somewhere and it won't matter ;-)
DeleteBanerjee, S. (2014), How does Household Expenditure Change with Age for Older Americans, ERBI.org
Blanchett, D. (2016), Estimating the True Cost of Retirement, Morningstar.
Also, RMD seems to be, for some, a good proxy for other optimal solutions and the RMD spend rises with age and smaller mean life expectancy so RMD would be another representation of the policy rate in the sketch. If that makes sense
DeleteI am familiar with both the papers you reference, and have also corresponded with the authors. I found them both to be friendly and eager to help/clarify things.
DeleteI took a closer look at your sketch earlier today and re-drew it with my own data [monthly spend and what I understand you mean by NMW - both Actuals & planned and made the assumption that what you were actually plotting as "spend rate" is spend/NMW] since retiring. What was not at all clear from the resulting graphic was my own spending trajectory which is broadly flat, since retirement, and somewhat lower than originally planned. I also questioned what purpose a lower limit on your graph really has.
I then re-arranged things and found that a monthly chart of cumulative actual spend (as a histogram) and cumulative planned spend (as a line) gave a far clearer and considerably less noisy presentation. The addition of a cumulative ratio line (cum actuals/cum planned, on a second axes) then brought home exactly how things are going. Just a thought!
Furthermore, a monthly linear graph of actual fundedness vs planned fundedness gives a very clear view of how you are doing overall.
Just another thought!
OOI, our overall spend trajectory - which I have been tracking over many years since my mid 30's - is seemingly an upside down parabola that reached its vertex some years before I pulled the plug.
Didn't 100% follow. Send a note to my email in the about section. I'll show u my real spend chart which was less parabola and more cliff. The lower bound is more formal than really used. It'd represent I guess being what my ex-gf called a "penny pinching life denier" ie she wanted me to spend more on her ;-) vs future me or my kids. The feasibility or fundedness is implied in my balance sheet where I track stats in a monthly series in a way broadly similar to what u describe but which I didn't discuss.
DeleteMy main goal, after blogging all this dreck I only partially understand over 8 years, is now to retreat behind a simplicity-defensive-position and then go do other things.
I can't see with my imagination your re-draw. Send me an example. If you'd like I could put it here as a post with attribution and some discussion notes.