Portfolio construction

Kelly criterion

The bet size that makes your money grow fastest over the long run, if your estimates of return and risk were exactly right.

2 دقیقه مطالعه · در بهینه‌ساز سبد امتحان کنید ↗

ایده به زبان ساده

Bet too little and you grow slowly; bet too much and the losses compound into ruin. In between there is a size that maximises the long-run growth rate of wealth. For a portfolio of tickers with normal-like returns it is the inverse covariance matrix times the expected excess returns, which usually means leverage.

روش محاسبه

Maximise expected return − ½ × variance (the growth rate of a continuously rebalanced portfolio). Long only by default; the result is scaled down to the maximum leverage if it exceeds it. The part not invested is cash.

Growth rate  g(w) ≈ wᵀ(μ − r_f) − ½ wᵀΣw
Kelly:  w* = Σ⁻¹(μ − r_f)
One ticker:  f* = (μ − r_f) ÷ σ²     Coin flip: f* = p − (1 − p) ÷ b

نحوه استفاده

  • As an upper bound: never bet more than Kelly, because beyond it you get more risk and less growth.
  • Prefer Fractional Kelly for real use.
  • Watch the "full Kelly would use …× leverage" note in the study.

نتیجه‌گیری

  • Full Kelly expects drawdowns of 50% or more along the way, even when the estimates are right.
  • If it is capped by the maximum leverage, the cap, not Kelly, is setting your size.

مثال

Running example (used in every portfolio guide): US500, GER40, gold (XAUUSD) and EURUSD, two years of daily data. Expected returns 8%, 7%, 7% and 1% a year; volatilities 18%, 20%, 15% and 7%. US500 and GER40 move together (correlation about 0.7); gold hardly moves with the indices (about 0.04). One ticker: US500 with 8% return and 18% volatility has f* = 0.08 ÷ 0.0324 = 2.5 times the capital. For the four tickers, full Kelly wants 5.4× leverage; capped at the 2× maximum it holds 80% US500, 10% GER40 and 111% gold: 14.8% expected return, 23.4% volatility.

ورودی‌های مثال نمایشی‌اند؛ وزن‌ها و ارقام همان چیزی است که بهینه‌ساز ما برایشان برمی‌گرداند.

مراقب این‌ها باشید

  • Overestimate returns by a little and Kelly overbets by a lot; overbetting is far worse than underbetting.
  • It assumes you can rebalance continuously and that the estimates hold.

کمی تاریخچه

John L. Kelly Jr. at Bell Labs, "A New Interpretation of Information Rate" (1956), about gamblers with a noisy private wire. Edward Thorp used it for blackjack (Beat the Dealer, 1962) and then in his hedge fund.

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