Some Portfolios Are More Trustworthy Than Others

Chart Talk

Interviewing contractors to work on your home is an interesting exercise in managing expectations.  Purchasing a product where you know exactly what you’re getting ahead of time is a lot different than purchasing a service where the end result can never be fully appreciated until the work is complete.  Who you choose to do the work thus becomes the most important step, but it’s also the trickiest to navigate.

The salesmen dress in their finest clothes and are on their absolute best behavior, and they all claim to have a glowing track record and seem to be very capable.  You know intuitively that not all companies can be above average and that some crews are measurably better than others, but looking at their finely curated portfolios of their absolute best work it’s sometimes hard to tell the truly talented craftsmen from the ones who only talk about their few successes.

Without the benefit of a crystal ball to see all the surprise issues they’ll have to navigate on your project and how they will react, the best one can generally do is study the history of the company and check their references.  By gauging how consistently they delivered what they promised and exceeded customer expectations over time, one can learn something about their character and gain enough confidence to hand over your hard-earned money to a company with a trustworthy reputation.

There’s a similar issue in investing, although the stakes are even higher.  

A New Tool for Matching Goals to Timeframes

Chart Talk, Goals, Theory

One of the things I’ve always found interesting about engineering — whether it’s making a new product or creating new spreadsheets — is that it’s a continuous learning process.  One new design may address an old question but raise a new one, and the search for new insights continues.  Sometimes working on a tool requires new methods that are interesting in their own right, and developing them can lead to new ideas you weren’t even looking for.

The Portfolio Finder Just Got A Little Smarter

Chart Talk

Every time I post a new tool here I’m not always sure what to expect.  Some resonate with people immediately, and others take a little time to refine.  That said, the response I’ve received for the Portfolio Finder has exceeded my wildest expectations!  Thanks to everyone who has taken time to send me feedback.  Each comment, both positive and constructively critical, helps me to make the tools more helpful and easy to use.

A common theme on this site is that single averages lie, and I focus a lot on looking at the big picture to avoid the pitfall of cherry picking data.  So it comes as absolutely no surprise that the most common request I’ve received lately is to provide a variable start date for the Portfolio Finder.  

The Ultimate Portfolio Guide for All Types of Investors

The Ultimate Portfolio Guide for All Types of Investors

Chart Talk

What does the historically best portfolio with the ideal balance of risk and return look like?

Ask that same question to different people and you’re likely to get not only different answers but also completely different paths to get there.  Your investment-savvy sibling might look up the long-term average returns for a few assets or funds and pick the best one.  A financial adviser might steer you towards the most popular portfolios that attracted the most clients.  A mathematician might use averages, standard deviations, and covariances to calculate the very precise theoretical ideal percentage of a given set of assets.  And an economist might lecture on valuations and economic conditions and put you to sleep before you even get to the answer.

Different people have different perspectives, and that’s part of what makes investing such an interesting topic.  With the massive number of portfolio variations available, finding the unique needle for every investor in the haystack of potential options seems like an impossible task.  It’s no wonder that the answer differs so wildly based on who you ask.

So what approach might an engineer take?

 

 Forget the needle.  Let’s study the haystack.

 

A Laymans Guide to Returns Uncertainty

A Layman’s Guide to Returns Uncertainty

Chart Talk, Psychology

Watching your account balances when markets are volatile is really tough.  Some people like to attribute that uneasy feeling to an undesirable excess of emotion, and believe they simply need to keep a cool head and think rationally.  While that’s certainly a valid point, in my experience even the most stoic investing robot has a major blind spot when it comes to investing psychology.  It’s not a character flaw, but simply human nature.

Intelligent, well-educated investors will look at a variety of investing options and make a selection at least in part based on long-term empirical measures like the average return.  These smart investors are naturally wired to evaluate the world around them with their five senses and act with reason and numbers.  Now these are both admirable behaviors, but there’s already a logical conflict brewing under the surface in the last two sentences that gets exposed with a wildcard many aren’t truly prepared for — uncertainty.

In my experience, when an asset allocation seems on the brink of disaster right now, the problem is most often not with your portfolio but with your perception of what an average return or a standard deviation really means.  Human brains are just not naturally wired for uncertainty, and sometimes very rational people struggle with it the most.

An Updated Tool for a Complicated Question

An Updated Tool for a Complicated Question

Chart Talk

One of the most common sayings about the stock market is that it always “makes money in the long run.”  While based in truth, I find that line of thinking shortsighted because it suffers from one major assumption that too many people gloss over:

How exactly do you define “long run”?

Navigating the Road to Financial Independence

Your Ideal Route to Financial Independence May Be Off the Beaten Path

Chart Talk, Goals, Theory

Financial independence – the concept of establishing a sustainable system where your investments can cover your expenses, making work optional – is an issue of particular interest to me, and from the popularity of the Withdrawal Rates calculator I gather that it is for many others as well.  Of all the things money can buy, I have a difficult time imagining something more valuable than the freedom to live on your own terms free of financial worry.  While I’ve previously discussed the effect of asset allocation on the retirement half of the FI equation, the natural next question is:

 

What’s the fastest path to early retirement?

New Portfolio Comparison Calculator

New Portfolio Comparison Calculator

Chart Talk

When browsing portfolio options, investors rarely study them in isolation.  Whether it’s the S&P500, a second lazy portfolio, or their own current asset allocation, it’s natural to compare a prospective portfolio to a relevant benchmark.  In fact, one of the primary goals of Portfolio Charts is to collect as much information as possible about various strategies in one place to aid in the learning process.

Each of the charts and tools here can be used to study differences in portfolios, but it feels like there’s room for one to do that more directly.  I’ve been experimenting with a few ideas, and have come up with something that I think approaches the problem from a new angle without overlapping the other calculators too much.  I call it the Benchmark calculator.  As a nod to human nature and a reminder to those who use it, you can also think of it as an Envy chart.

Why your SWR is probably wrong

Why Your Safe Withdrawal Rate is Probably Wrong

Chart Talk, Retirement

Several years ago I discovered the concept of financial independence, and the idea was a revelation.  Life too often becomes a series of developed habits, and the process of questioning the basic assumptions behind those habits and envisioning a system where your investments can do the work for you to fund your lifestyle in perpetuity was a life-changing exercise.

As an engineer with a math minor, I was especially taken by a few prominent retirement studies on the subject of safe withdrawal rates.  They famously came to the conclusion that for a traditional mix of stocks and bonds one could have retired with a 4% safe withdrawal rate, adjusted their expenses for inflation each year, and had a successful 30-year retirement with a high amount of certainty historically.  The process they used for back-testing retirement scenarios was fascinating, and the results form the backbone of the vast majority of retirement advice today.

So I dove in and explored the data and assumptions and engaged full-force in various early retirement communities online.  I played with a few of the prominent retirement calculators out there and tinkered relentlessly.  Anyone else who has done the same can understand how intoxicating it all can be.

So much so, that after building my own models I realized a lot of people totally misinterpret the conclusions and get it all wrong!