A guaranteed edge, and a third lost money

Haghani and Dewey gave subjects trained in finance a coin they were told was biased in their favour, a fixed stake, a clock and a cap. The win probability was disclosed. The one variable left in the players' hands was how much to stake per flip, and that variable ruined them.

The experiment, as recorded. Haghani and Dewey (2016).
MeasureValue
Subjects, trained in finance61
Coin, probability of heads60%
Time allowedThirty minutes
Starting stake$25
Cap on winnings$250
Went bankrupt28%
Finished below the starting stakeAbout a third
Reached the capOne in five
Average payout$91

The growth curve

Kelly (1956) treated a gambler with an edge as a channel carrying signal, and derived the stake that maximises the growth rate of a bankroll. At even money it is twice the win probability minus one. Growth against bet size is a curve with a single peak, zero at a zero stake and zero again further out, past which a coin still guaranteed to win compounds negatively. The edge is identical along that whole curve. Only the size changes.

Table 1. Growth per flip in the long run, by constant bet fraction on a 60/40 coin.
Bet fractionGrowth per flip in the long run
0%0
10% (half-Kelly)≈ ¾ of maximum
20% (Kelly)≈ +2% (maximum)
≈ 39%0
40%≈ −0.25%

The curve is not symmetric about its peak. Halving the stake gives up little growth and buys roughly half the swings, so underbetting is cheap and overbetting is ruinous. The average is also the wrong thing to plan around. The mean sits far above the median, only one path is realised, and along it the logarithm of wealth compounds. That gap is volatility drag.

Mean against median, and the drag between them.
MeasureValue
Run at full Kelly from a $25 start300 flips
Average outcomeExceeds $3 million
Median outcomeAbout $10,000
Drag, worked illustration$100k becomes $93k

Sizing doctrine

Three rules for the pipeline behind this site follow from that shape.

One of the experiment's authors was a founding partner of Long-Term Capital Management, the canonical sizing catastrophe. The cleanest demonstration of the lesson was designed by a man who had lived its most expensive version.

A positive edge is a necessary condition; surviving the bet size is the sufficient one. The edge was never the hard part.

References

  1. Haghani, V., and Dewey, R. (2016). Rational Decision-Making Under Uncertainty: Observed Betting Patterns on a Biased Coin. SSRN Working Paper.
  2. Kelly, J. L. (1956). A New Interpretation of Information Rate. Bell System Technical Journal, 35(4), 917–926.