Monash University · FACULTY OF FINANCE

BFF5270 Chap.5 Strategic and Tactical Asset Allocation

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Chapter 5 of 6 · BFF5270

Strategic and Tactical Asset Allocation

Strategic asset allocation sets the long-run policy mix; tactical allocation deliberately departs from it to seek improved return, lower volatility or drawdown control. This chapter calculates risky and risk-free exposure through utility, then places tactical signals inside limits, costs and exit rules. The core distinction is between a durable mandate decision and a bounded active view.

Rebalancing remains a third category that restores policy after market movement without claiming a fresh tactical forecast. Costs, limits and exit rules turn a market view into a controlled decision.

In this chapter

What this chapter covers

  • 01

    Asset classes

  • 02

    Strategic allocation

  • 03

    Tactical allocation

  • 04

    Capital allocation line

  • 05

    Utility function

  • 06

    Risk aversion

  • 07

    Active limits

  • 08

    Exit condition

Worked example · free

Calculate a utility-maximising risky weight

Q [6 marks]. A risky portfolio returns 12% in expectation with 18% volatility, the risk-free rate is 4%, and risk aversion is 4. Find the unconstrained optimal allocation. This practice weighting is not an official university assessment scheme.
The strategic band remains the reference point.The strategic band remains the reference point. Tactical underweights and overweights are deliberate departures that require a signal, limit and exit rule.Strategic targetlong-run policy mix and rangesTactical underweightTactical overweightlower weighthigher weight
The strategic band remains the reference point. Tactical underweights and overweights are deliberate departures that require a signal, limit and exit rule.
  • 1Compute excess return: 0.12 minus 0.04 = 0.08.
  • 1Compute variance: 0.18 squared = 0.0324.
  • 1Compute the denominator: 4 times 0.0324 = 0.1296.
  • 1Divide to find y: 0.08 divided by 0.1296 = 0.6173.
  • 1Allocate 61.73% risky and 38.27% risk free.
  • 1Verify return, volatility and IPS constraints.
The unconstrained risky weight is 61.73%. Expected complete return is 8.94% and standard deviation is 11.11%. The IPS can still impose a different feasible weight.
Sia tip — Higher risk aversion should lower the risky weight when the opportunity set is unchanged. Use that direction as a check.
Glossary

Key terms

Asset Class
An asset class groups investments with broadly similar risk and return characteristics.
Policy Weight
A policy weight is the strategic target exposure assigned to an asset class.
Permitted Range
A permitted range defines the authorised variation around a strategic target.
Risk Aversion
Risk aversion is the strength of the penalty placed on uncertainty in the utility function.
Market Timing
Market timing changes exposure based on a view about future market movement or valuation.
FAQ

Strategic and Tactical Asset Allocation FAQ

Does strategic allocation mean the portfolio never changes?

No. Strategic weights can require rebalancing when markets move and formal review when objectives, liabilities or assumptions change. Strategic allocation supplies a durable reference point. It does not prohibit governed maintenance, but it prevents every short-term market opinion from silently redefining policy.

What makes a tactical position defensible?

A tactical position needs a stated signal, position size, horizon, risk limit, implementation method, cost estimate, benchmark and exit condition. These elements make the decision reviewable. A profitable result alone does not show that the timing process was authorised, repeatable or valuable after costs.

Can the utility formula override the policy statement?

No. Utility produces a mathematical candidate from expected return, volatility, the risk-free rate and risk aversion. The result must still satisfy liquidity needs, permitted ranges and other constraints. Optimisation and utility help organise a decision; they do not replace suitability or governance.

Study strategy

Exam move

Draw the strategic target as a band and add one tactical underweight and overweight with evidence, limits and exit rules. Recompute the risky-weight formula using decimals, then raise risk aversion and predict the direction before calculating. For every tactical case, separate the intended benefit, timing risk, implementation cost and attribution method. Finish by deciding whether the view is truly temporary.

Create a strategic-allocation card for an imaginary mandate. Record the asset classes, target weights, permitted ranges and the client objective each exposure serves. Move market prices forward one period and practise identifying whether the portfolio requires ordinary rebalancing, a tactical decision or a formal policy review. Those three actions should not share the same rationale.

For utility problems, write expected return and volatility as decimals before using them. Compute the excess return, variance and denominator on separate lines, then verify the risky and risk-free weights total one. Reconstruct complete-portfolio return and risk so a misplaced square or percentage scale becomes visible. Change A while holding the opportunity set fixed and predict the new direction before calculation.

Tactical drills should include a signal, magnitude, horizon, instrument, cost, risk limit, benchmark and exit rule. Evaluate a losing tactical position by the same process used for a winner so outcome bias does not change the standard. Distinguish an allocation intended to lift return from one intended to dampen drawdown because the measurement plan differs.

If an active view remains in place for years, write the question that should go to the policy committee: has the belief become structural, and should the strategic benchmark change? End with an attribution sketch that keeps the original policy visible while the active departure is assessed. Add a reverse-engineering exercise in which an observed risky weight, market premium and volatility imply a risk-aversion coefficient.

Ask whether the implied preference fits the client evidence in the IPS. This connects the mathematical output back to suitability. Then estimate trading and tax drag on a tactical change and state the gross contribution required merely to break even. A signal that cannot plausibly clear those costs should not become an active position.

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