“I’m so dizzy, my head is spinning
Tommy Roe, Retail Investor
Like a whirlpool, it never ends.”
Rebalancing within Managed Discretionary Accounts (MDAs) is more than an investment maintenance activity — it is a governance mechanism that preserves client suitability, risk alignment, and compliance with ASIC RG 179. Clear and defensible rules within the Investment Policy Statement (IPS) ensure that portfolios remain aligned to the client’s objectives while providing the transparency, oversight and documentation required of MDA operators.
What triggers should activate a portfolio rebalance?
A robust IPS should identify specific, measurable and justifiable triggers that prompt a rebalance. These should prevent portfolios from drifting beyond the client’s risk parameters while avoiding unnecessary or inefficient trading.
Fixed vs Floating Models in a Rebalancing Policy
When developing a rebalancing policy, a practice must first determine how it will manage portfolios in relation to market drift. Broadly, there are two approaches:
Fixed Model Portfolio
A Fixed Model Portfolio uses target weights defined at a specific point in time. As market movements cause the portfolio to drift away from those original allocations, the rebalancing policy must set clear parameters for when and how the portfolio will be traded back to its initial targets.
Advantages
It can, in theory, capture a “buy low, sell high” effect over time, as overweight positions are trimmed and underweight positions are topped up.
Drawbacks
- May lead to excessive trading costs if rebalancing triggers are frequent.
- Can generate capital gains tax consequences that may be unfavourable to clients.
- For clients who work closely with tax accountants, increased trading activity can also lead to higher tax reporting complexity and costs.
Floating Model Portfolio
A Floating Model Portfolio has become more common in modern advisory practices. Instead of maintaining static target weights, the model’s allocations “float” with market drift. All clients assigned to a given model or risk profile share the same real‑time weights, including new clients onboarding.
Advantages
- Improves scalability: all clients linked to the same model remain aligned, simplifying risk management.
- Reduces unnecessary trading, helping avoid excess transaction costs and unintended capital gains.
Drawbacks
Does not benefit from the classic rebalancing premise of consistently trimming high performers and adding to lower performers over time.
1. Market drift triggers
Market movements naturally skew allocations over time. To manage this, many operators set quantitative drift thresholds.
A 10% variance between defensive and growth exposures is a commonly used threshold because it represents a meaningful change in portfolio risk. While RG 179 does not prescribe drift thresholds, many licensees treat a shift of this magnitude as a material change that warrants review and potential rebalancing.
Setting asset allocation ranges
To make drift thresholds meaningful in practice, the IPS should also define asset allocation ranges for each risk profile. These ranges describe the minimum and maximum exposure to key asset groups (for example, growth assets: 60–80%; defensive assets: 20–40%), rather than a single point estimate.
Well‑designed ranges:
- align with the client’s risk profile, investment horizon and capacity for loss;
- are wide enough to avoid constant, low‑value trading but tight enough to prevent migration into a different risk band; and
- distinguish between broad groups (growth vs defensive) and, where relevant, between sub‑sectors (e.g. Australian equities, global equities, fixed interest, cash).
These ranges are not prescribed by RG 179, but they help demonstrate that the investment program’s strategy and discretion are clearly defined and monitored in line with ASIC’s expectations for suitability, disclosure and ongoing review.
IPS wording example:
“A rebalance will be initiated when the portfolio’s defensive or growth allocation deviates from its target by more than the stated tolerance for at least two consecutive monitoring cycles.”
2. Client-driven events
Certain events require immediate reconsideration of the portfolio:
- A change to the client’s risk profile
- A significant deposit or withdrawal
- Client‑directed strategic changes
These controls support the best interests duty and the appropriate advice obligations in Div 2 of Pt 7.7A of the Corporations Act (including s961B and s961G) and help demonstrate ongoing suitability.
3. Investment Committee or model updates
When an investment model is revised, or securities are added/removed, a rebalance may be triggered to reflect the new model. Consistent with RG 179.137(d) and RG 179.173(b), clients should clearly understand the nature and scope of any discretion exercised under the MDA, including how model changes may affect their portfolio.
How should tolerance bands be set and justified?
Tolerance bands act as guardrails to maintain strategic asset allocation without over‑trading. ASIC expects these thresholds to be clearly documented and justified based on the client’s objectives and risk appetite.
Materiality and risk alignment
A 10% threshold is defensible because it represents a meaningful shift in portfolio risk — potentially outside the client’s agreed risk profile.
Trading efficiency
Minimum trade sizes (typically $500–$1,000) prevent micro‑transactions and excessive trading costs.
Tax-aware rebalancing
“Buy‑only” rebalances, in which only underweight positions are topped up, are an efficient way to manage CGT outcomes. This aligns with RG 179’s emphasis on efficiency and avoidance of unnecessary costs.
Governance review
The Investment Committee should review tolerance bands periodically to ensure they remain appropriate across market cycles and asset‑class volatilities.
How do liquidity and cash buffers influence rebalancing?
Liquidity settings within an MDA ensure the portfolio can meet operational needs without forcing disadvantageous or distressed trades.
1. Cash buffers
Cash management is a critical part of MDA operations. Cash balances that exceed target ranges can create liquidity drag and distort the portfolio’s risk characteristics. For example:
- 3% for accumulation accounts
- 6% for pension accounts
Thresholds like these are practical, liquidity‑aware triggers that help ensure the portfolio continues to reflect its intended asset allocation while maintaining sufficient cash for benefit payments.
Cash levels should reflect the client’s phase:
- Accumulation clients typically require smaller buffers.
- Pension clients require higher buffers to fund regular pension payments.
2. Monthly cash checks
Monthly cash reviews are a practical internal control that supports the licensee’s obligations under s912A, including adequate oversight and risk‑management systems. RG 179 does not prescribe a cash‑review frequency, but robust monitoring helps ensure accurate reporting and effective compliance controls.
3. Minimum trade sizes
Clear documentation of minimum trade sizes (e.g., no trade smaller than $500–$1,000) supports operational efficiency and cost control.
4. Appropriate deferral of trades
Rebalances may be deferred if upcoming deposits, withdrawals, or distributions would resolve the drift. This prevents redundant transactions and unnecessary costs.
IPS wording example:
“A rebalance may be postponed when executing trades would disadvantage the client due to timing, tax or imminent cash‑flow events.”
What client communication does RG 179 require?
While RG 179 does not enumerate trigger types and review frequencies word‑for‑word, its disclosure requirements for the investment program, MDA contract and FSG impose a clear obligation to ensure clients understand how the portfolio will be managed, the scope of discretion, and likely implications.
As part of the engagement and onboarding process, advisers should clearly explain:
- What triggers a rebalance
- The operator’s discretionary authority
- The review frequency
- Potential outcomes (costs, tax, transaction timing)
IPS summary table
Including a one‑page summary of key parameters (drift thresholds, cash rules, review cycles) greatly improves comprehension.
Governance and oversight
Rebalancing is not only an investment process but a core compliance function. Strong governance ensures auditability and adherence to s912A(1)(a) and s912A(1)(h) — the obligation to provide financial services efficiently, honestly and fairly, and to maintain adequate risk‑management systems.
Effective oversight includes:
- Automated alerts for tolerance breaches
- Monthly exception reporting to the Investment Committee
- Clear documentation of rationale for each rebalance or deferral
- Annual policy reviews to ensure settings remain appropriate
- Audit‑ready evidence of monitoring, decisions and communications
These measures help demonstrate compliance with RG 179’s expectations for operational oversight and record‑keeping.
Conclusion
A well‑constructed IPS rebalancing framework blends quantitative discipline with regulatory clarity. Thresholds such as the 10% drift and 3–6% cash bands provide a strong operational foundation, but compliance depends on demonstrating that these thresholds are monitored, justified, and communicated.
By embedding clear triggers, tolerance bands, liquidity safeguards, governance controls and transparent communication tools, MDA operators can meet ASIC’s expectations under RG 179 while maintaining client trust and delivering consistent portfolio outcomes.
This article was a collaboration between Assured Support and MDA Guru. If you have any further questions, please reach out to our teams!
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Frequently Asked Questions
Because rebalancing ensures the portfolio remains aligned to the client’s agreed risk profile and objectives. In an MDA, failure to manage drift may result in unsuitable exposure, breaching RG 179 expectations and the operator’s obligations under s912A.
No. RG 179 does not prescribe numeric thresholds. However, ASIC expects MDA operators to clearly define, justify and monitor rebalancing rules as part of the investment program and ongoing suitability obligations.
A fixed model rebalances back to original target weights, while a floating model allows allocations to move with market drift. Floating models reduce trading and tax impacts but sacrifice systematic “buy low, sell high” effects.
Changes to risk profile, large deposits or withdrawals, or client-directed strategy changes require immediate reassessment to meet best interests and appropriate advice obligations under s961B and s961G.
Cash balances outside defined ranges distort portfolio risk and efficiency. Regular monitoring allows rebalancing without forced asset sales and supports liquidity needs, particularly for pension clients.
