Today, I'm tackling what the real problems are with robo-advisory services – who should use them, and how not to get crushed when they go haywire.
Depending on what theories and math robo-advisors are wired for, they construct a "personalized" portfolio based on forms you fill out online, and they automatically rebalance your portfolio when threshold weightings of positions in your portfolio get out of balance.
And that's precisely where the issues begin…
Ghosts in the Machine
The first problem with these services starts there, in their construction of portfolios.
They are personalized – but only to the degree that you fit into a model that fits thousands or hundreds of thousands of other hopeful investors. So don't count on your portfolio being different to the point where you believe it's immune from what anyone (or everyone) else might suffer through if markets blow up.
Generally, you're put into "passive" low-cost indexed ETFs. Investors plowing in larger sums at some services, like Wealthfront, can have a combination of individual securities and one or two "completion ETFs" to track an index.
If you're investing 100% in U.S. equities and expect robots to diversify you, they will… but they won't.
The bottom line is, no matter how robots break up your funds – whether they put you in several big index ETFs tracking the likes of the S&P 500, the Dow Jones Industrials, or the Nasdaq – you're essentially correlated to the market.
Robots can put you into large-cap ETFs, small-cap ETFs, growth ETFs, value-oriented ETFs, into ETFs indexed to divided sectors or industries, or smaller subsets of equities based on fundamentals, dividends, almost any subset of stocks based on almost any theme. There are lots of indexed "products."
But you're still correlated to the market.
It may matter what indexes you're in on the upside, in the short run. It won't really matter in the long run if you're well-diversified across all these indexes and groups. You're being indexed enough, diversified enough, to essentially just follow the general market.
On the downside it matters, because correlation is what it is: a phenomenon whereby most equities break down when faced with widespread selling by individuals, hedge funds, and mutual funds. It matters especially in the short run, regardless of how "uncorrelated" to each other these equities are supposed to be.
Then there are the ETFs. That's what you're mostly invested in with robo-advisory services.
If you don't remember what happened to ETFs last August, you need to be reminded here and never forget.
Because ETFs are composed of actual stocks, or futures, other assets, or derivatives for that matter, they are priced based on the sum of their parts. Last August, before markets opened, futures prices were down sharply. Everyone knew stocks would likely sell off hard at the open. And… they did.
The problem with ETFs suddenly surfaced. How can you open trading in a security if the price of that security (an ETF) is based on other stocks that aren't open, or opening, and have no prices? You can't really. If you do, you're just guessing.
So while lots of ETFs weren't opened for trading, the constituent stocks that they're made of were going down.
What happens to your portfolio if your robots can't sell your ETFs while the stocks that make them up are going down?
You could be devastated.
The Faults in Correlation
About the Author
Shah Gilani is the Event Trading Specialist for Money Map Press. He provides specific trading recommendations in Capital Wave Forecast, where he predicts gigantic "waves" of money forming and shows you how to play them for the biggest gains. In Zenith Trading Circle Shah reveals the worst companies in the markets - right from his coveted Bankruptcy Almanac - and how readers can trade them over and over again for huge gains. He also writes our most talked-about publication, Wall Street Insights & Indictments, where he reveals how Wall Street's high-stakes game is really played.