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Optimising Portfolios Through Maximum Drawdown Periods

Max drawdown measures peak-to-trough loss; minimising or bounding it changes optimal weights versus mean–variance solutions.

Authored by·Editorially reviewed
Onur Erkan Yıldız
Founder, Financial Engineer · CMB-licensed

Overview

Investors often care more about path risk than annual volatility. CVaR/Drawdown-aware optimisation penalises left tails explicitly.

Practical takeaway

Combine liquidity and correlation breakdown assumptions — hedges fail most when you need them.

How this connects to Finvestopia

Radar backtests surface win-rates and drawdown-style context for strategy tiles — a retail-friendly lens on tail behaviour.

Related entries

Educational content authored by our team — informational only, not investment advice.