Portfolio rebalancing
Portfolio rebalancing is a rule or procedure for adjusting portfolio holdings toward target asset weights or allocations.
Build a Robo-Advisor with Python (From Scratch)
A rule or procedure for deciding when and how portfolio holdings should be traded toward target allocations.
- How it is used
- Automates decisions that keep portfolio exposures near target allocations while accounting for taxes, trading costs, and cash flows.
- How deep it goes
- Develops drift examples, schedule and threshold rules, tax-aware practices, optimization, and backtesting with cvxpy.
- Examples
- Uses a 60/40 stocks-and-bonds portfolio, simulated 30-year weight drift, volatility calculations, and historical backtesting.
- What you can do after
- Build it from scratch by implementing threshold or schedule rules, tax-aware trades, optimization constraints, and a rebalancing backtester.
Read how Build a Robo-Advisor with Python (From Scratch) explains portfolio rebalancing →
Investing for Programmers
Portfolio rebalancing is the process of restoring an investment portfolio to its intended asset weights after market movements change them.
- How it is used
- Maintains intended asset allocation while controlling drift, concentration risk, transaction costs, and possible tax consequences.
- How deep it goes
- Defines three trigger strategies and demonstrates threshold calculations, adjustments, and actions, but does not develop tax or execution automation.
- Examples
- Uses Python dictionaries, a 5% threshold, ticker allocations, adjustment calculations, a pandas DataFrame, and a rebalancing-actions table.
- What you can do after
- Apply it via Python and pandas to calculate allocation drift, identify threshold breaches, and produce buy-or-sell adjustments.
Read how Investing for Programmers explains portfolio rebalancing →
Related concepts
- periodic rebalancingincludes · Periodic rebalancing is a portfolio-management technique that restores target asset allocations at predefined time intervals.
- threshold-based rebalancingincludes · Threshold-based rebalancing is a portfolio management technique that trades when an asset’s allocation deviates beyond a specified tolerance from its target.
- asset allocationuses · Asset allocation is the distribution of an investment portfolio’s capital among asset classes according to objectives, risk tolerance, and investment constraints.
- backtestingused by · Backtesting is the retrospective evaluation of a strategy, model, or process by applying it to historical data or cases to assess its performance or effects.
- driftaddresses · Drift is a change over time in a system’s behavior, state, data, or configuration relative to a reference or expected baseline.
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