Investing Is a Loser's Game, and That Is Good News
Key takeaway
- In a winner's game the result comes from good shots. In a loser's game it comes from unforced errors — and investing became the second kind.
- You are no longer trading against amateurs. Professionals are almost all of the volume, so the average trade is against someone at least as informed as you.
- The strategy that follows is uncomfortable because it is unimpressive: decide once, cut costs, and then do very little.
Learning pathStart here: your first month, without losing money to avoidable mistakesStep 5 of 12
Read before this:Why Most Active Investors Trail the Index
Based on Winning the Loser's Game — Charles D. Ellis, 1998
Two games that look identical
Same court, same rules, opposite scoring. Knowing which one you are in determines the whole strategy.
Charles Ellis borrowed the distinction from a study of tennis. In professional matches, most points end because someone hit a shot the opponent could not return. In amateur matches, most points end because someone hit the ball into the net or out of bounds. The professionals win points; the amateurs lose them.
Ellis's essay argued that institutional investing had crossed from the first game into the second. Not because the professionals got worse — because they got so numerous and so good that beating the average of them became a matter of avoiding your own mistakes.
Who is on the other side of your trade
This is the mechanical basis for the argument, and it is worth sitting with. Every time you buy, someone with a Bloomberg terminal and an analyst team is selling. Your edge cannot be information, because they have more of it, and it cannot be speed. It can be time horizon, temperament, and cost — none of which are exciting.
The errors, named
The two at the top do the most damage because they arrive together. Selling after a fall and buying after a run is the same behaviour at two points in a cycle, and it converts a market's return into something meaningfully worse.
Playing to win
- Finding the manager who will beat the market
- Getting out before the next fall
- Rotating into whatever is working
Playing not to lose
- Choosing an allocation you can hold through a fall
- Paying as little as possible for it
- Changing it on a schedule, not on news
The cost of trying
This is the part beginners resist hardest, because doing nothing does not feel like a strategy — it feels like neglect. But the fees, spreads and taxes are certain, and they compound in the same relentless way returns do. See how fees quietly eat your returns for the arithmetic over thirty years.
Ellis's most useful reframe is that the real work of investing happens once, in advance: deciding the allocation, writing down why, and specifying what would legitimately change it. Everything after that is administration, and treating it as anything more is how the errors get in.
Where the analogy stops
The tennis metaphor is a good argument for low costs and low activity, and it is sometimes stretched into a claim that no active decision can ever be worth making. Ellis does not go that far, and the stretch is not supported.
What follows from the argument is narrower: you should assume no informational edge over professionals, and structure your plan so that being right about a particular company is not required. That is compatible with holding individual stocks — it just means sizing them as if you might be wrong, which is what the stock-picking track assumes throughout.
Try this week
- Add up everything you paid last year: fund fees, commissions, spreads, and tax on realised gains.
- List every change you made to your portfolio in the last twelve months and the reason for each.
- Mark which of those reasons were news-driven. Those are the candidate unforced errors.
- Write your target allocation and the specific conditions under which you would change it.
Common questions
What is the loser's game in investing?
A game whose outcome is decided mainly by the mistakes participants make rather than by brilliant moves. Ellis argues investing became one as professionals came to dominate trading, which makes avoiding errors the winning strategy.
What are unforced errors in investing?
Actions that reduce returns without any opponent causing them: selling after a fall, buying after a run, paying high fees, trading on news, and abandoning a plan partway through.
Does this mean I should never pick individual stocks?
It means you should not assume an informational advantage over professionals. Holding individual stocks is compatible with the argument as long as position sizes assume you may be wrong and costs stay low.
Why does doing less improve investment returns?
Because each transaction has a certain cost and an uncertain benefit. Over many years the costs compound reliably while the benefits depend on being right more often than the professional on the other side of the trade.
Is Winning the Loser's Game still relevant?
More so than when it was written. The professional share of trading volume has continued to rise and index funds have made the low-cost alternative easier to access, which strengthens rather than dates the argument.