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Peer-reviewed theory · 2016

Risk-Constrained Kelly Gambling

Enzo Busseti, Ernest K. Ryu, Stephen Boyd · The Journal of Investing

Main finding

In simulations, risk-constrained Kelly bets achieved better trade-offs than fractional Kelly: more growth at the same drawdown risk, or less drawdown risk at the same growth.

Limitations

Assumes the return distribution is known; the drawdown bound is conservative; no sports-betting test.

Study details

Authors
Enzo Busseti, Ernest K. Ryu, Stephen Boyd
Published
2016
Venue
The Journal of Investing 25(3), 118–134
Status
Published
Evidence type
Peer-reviewed theory
Evidence strength
Moderate (our assessment of how much weight the finding can bear)
Sport
None specific
Markets
Generic bets with a known distribution of returns
Method
Adds a constraint on the probability of a large drawdown to the Kelly growth problem, derives a convex bound and solves it as an optimisation problem; tested by simulation.
Sample
Not applicable (simulation).
Replication
Unknown; code accompanies the paper.

Read the original

doi:10.3905/joi.2016.25.3.118 (opens in a new tab) · Free version (opens in a new tab)

Our summary is an original paraphrase for education. Verification: Bibliographic record checked against publisher, index or author listings. Checked 2026-10-25.

Busseti, Ryu & Boyd (2016) · Evidence Library · WCWins