Optimization and Rebalancing

Optimization and rebalancing address different stages of portfolio construction. Optimization converts assumptions, objectives, and constraints into candidate weights; rebalancing manages the difference between current exposure and an approved policy after markets or cash flows change.

Portfolio Optimization explains objective functions, covariance, constraints, sensitivity, and model risk. Its output is a conditional model result, not a forecast or automatically suitable portfolio.

Portfolio Rebalancing compares calendar, threshold, hybrid, and cash-flow methods for maintaining policy. Targeted Rebalancing limits action to material breaches or risk concentrations instead of trading every position back to exact target.

Questions to Verify

• What objective function and risk measure drive the proposed weights?
• How uncertain are expected returns, volatilities, and correlations?
• Which concentration, liquidity, leverage, tax, turnover, and policy constraints apply?
• Is the current deviation drift, a tactical position, or a strategic policy change?
• Does the rule rebalance to target, to a boundary, or only through cash flows?
• Do expected benefits justify spreads, taxes, fees, market impact, and operational risk?

These pages explain portfolio methods and controls. They do not provide an optimized allocation or rebalancing instruction for any reader.

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