Sector Rotation Strategy

Research shows a large share of a stock's return comes from its sector. When the resources sector rises 15%, most miners rise; when banks de-rate, even the best bank falls. By being in the right sector, you capture the majority of returns without needing to pick individual winners - and on the ASX, where banks and miners dominate, sector direction drives most of the index's moves.

Review rankings weekly but only rebalance monthly or when significant rank changes occur (3+ positions). A minimum holding period of 10 days prevents excessive turnover. A typical rotation holds sectors for 2-8 weeks before switching.

If no sector is outperforming the ASX 200 (all RS < 1.0), the market may be in a broad decline or highly correlated. Options: 1) increase cash, 2) focus on the least-negative RS sectors, 3) add defensive sectors (Health Care/Staples/Utilities) and Gold regardless of RS. This is a 'no sector leadership' signal.

Not recommended. Concentration in one sector creates high risk if it reverses - and on the ASX the top sector is often resources or financials, which are already big macro bets. Diversifying across the top 3 (cluster-capped) gives better risk-adjusted returns. Maximum 25% in any single sector is the guideline.

For ETF-based rotation, roughly A$10,000-20,000 is workable (a few sector ETFs). For leader-stock baskets across several sectors, A$30,000+ gives adequate diversification. Sector futures on the ASX are institutional, so retail uses ETFs, CFDs (for leverage/shorting) and leader baskets. Start with ETFs if capital is limited.

Several ASX sectors lack a clean ETF - Consumer Staples, Consumer Discretionary, Industrials, Utilities, pure Energy and Health Care. Create a basket of the top 3-5 leader stocks with equal weight. Example: Health Care = CSL + RMD + COH; Consumer Staples = WOW + COL + EDV. This provides sector exposure with stock-level flexibility - more positions to manage but full coverage.

Best results come from combining both. RS is backward-looking (what's working now); the economic cycle is forward-looking (what should work next). Use cycle analysis (RBA stance, China data, housing) to anticipate sector leadership, then confirm with RS. Cycle + RS aligned = highest conviction.

Long the leading sector + short the lagging sector simultaneously, so you profit from relative outperformance regardless of market direction. Beta-adjust sizes for proper hedging and execute via ETFs or leader baskets through CFDs (the ASX has limited sector futures). Example: long Materials + short Consumer Staples. Monitor the spread, not the individual legs.

Common failures: 1) highly correlated markets where all sectors move together, 2) sudden macro shocks (a China growth scare, an RBA surprise) that override technical signals, 3) over-rotation in choppy markets (whipsaws), 4) ignoring fundamental drivers that override RS, and 5) on the ASX, accidentally stacking correlated clusters so the 'diversified' book is really one bet on iron ore or rates. Use filters, fundamental awareness and cluster caps to reduce failures.

Three approaches: 1) protective puts on long sector leaders (or XJO puts on the whole book) for downside protection, 2) covered calls on leaders/ETFs to generate income in steady trends, 3) leveraged rotation using calls on the leaders instead of stock (lower capital, defined risk). The ASX has no single-sector index options, so use ETOs on leaders/ETFs and XJO for broad hedges.

Multi-factor approach: RS momentum (35-40%), RS ratio (25%), Trend (20%), Breadth (15%), Volatility (5%). Walk-forward optimise weights over 5+ years. Adapt to regime (pure momentum in trends, add mean reversion in choppy markets). Add an ASX-specific cluster-exposure constraint (banks; resources/gold/energy) so the book isn't a hidden single-factor bet. Target: 3-5% alpha over the ASX 200, Sharpe > 1.0, information ratio > 0.5.

Most important features are typically RS momentum, sector breadth, and distance from moving averages. On the commodity-heavy ASX, macro features (iron ore, AUD/USD, RBA changes, bond yields) matter strongly during regime transitions. Cross-sector relative ranks capture competitive dynamics. XGBoost/Random Forest are effective for this tabular prediction task.

Risk parity allocates based on volatility (weight = 1/volatility) so each sector contributes equal risk. Low-vol sectors (Consumer Staples, Health Care) get a higher weight, high-vol (Materials, Gold, Energy) a lower weight. This produces a better Sharpe ratio and smaller drawdowns than equal weight - especially useful on the ASX where the resources complex can swing hard.

Core (40-50%) in an ASX 200 ETF for market beta. Rotation sleeve (30-40%) for active sector alpha. Tactical (10-20%) for special situations/thematics. Defensive (5-10%) in gold/bonds. Track rotation separately - it should add uncorrelated alpha (watch that correlation with the ASX 200 stays well below 0.8). Monthly rebalance with threshold triggers.

Key metrics: absolute return, excess return vs the ASX 200 (alpha), Sharpe ratio, information ratio (alpha consistency), max drawdown. Attribution: sector-selection effect vs timing vs sizing. Correlation with the benchmark (low = good diversification). Target: 3-5% annual alpha, Sharpe > 1.0, correlation < 0.8 - and remember to net out transaction costs and short-term tax, since rotation rarely qualifies for the 50% CGT discount.