Methodology

What it is

The ASX Drivers Index is a single 0–100 reading of whether the external forces that drive Australian shares are, on balance, a tailwind or a headwind. The Australian market is heavily concentrated in mining and banking, so a handful of outside forces — commodity prices, the Australian dollar, the interest-rate curve, global credit conditions, how heavily the market is positioned short and how turbulent the dollar is — explain a large share of what moves it.

It is a market-conditions gauge, not advice and not a forecast. It measures the climate for Australian equities, not their prices, and it deliberately uses no licensed share-price data — every input is free and official.

The six components

Why each one belongs

• Commodity complex. Resources are about a quarter of the ASX and the swing factor in its earnings; the prices of Australia’s main export earners move the miners and the nation’s terms of trade. Iron ore and coal also carry the Chinese steel-demand signal, which is why China is not a separate component.
• The Australian dollar. A textbook risk-on / risk-off currency: it rises when global investors want Australian assets and falls when they retreat.
• Yield-curve slope. The 10y–2y gap drives bank net-interest margins (financials are the ASX’s other large bloc) and is a long-standing lead on the economic cycle; an inverted curve is a classic recession warning.
• Global credit risk. Australian equities are highly geared to global risk appetite; the US high-yield spread is the cleanest, most liquid measure of it. It also recovers the “junk-bond demand” dimension Australia lacks a local market for. (The VIX is deliberately avoided — it is a licensed product.)
• AUD volatility. The realised volatility of the dollar — how turbulent it has been, irrespective of direction. The AUD sells off and swings harder in risk-off episodes, so its volatility is a clean, freely-sourced stand-in for the implied-volatility “fear” gauge we can’t licence. It leans on the same series as AUD risk flow but measures magnitude, not direction.
• Short positioning. Aggregate short interest is the one input that measures how investors are actually positioned on ASX stocks rather than inferring it. It is positioning, not a forecast — crowded shorts can precede squeezes — so it is read as one input, not a prediction.

How the score is built

Every component passes through the same engine, so no raw value enters the index directly:

1. Compute the component’s raw signal.
2. Convert it to a z-score against its own trailing history (252 trading days for daily inputs, 36 months for the monthly basket), so each input is always measured relative to its own normal range, not an absolute threshold.
3. Clip the z-score to ±3 and map linearly to 0–100 (a z of 0 → 50).
4. Invert the headwind-positive inputs (credit risk, AUD volatility, short positioning) so that, for every component, a high score means “tailwind”.
5. Average the six component scores with equal weight to form the composite.

Equal weighting is the defensible default: it makes no claim that any one signal is more predictive. Several inputs (commodities, the AUD, credit) share a common global risk factor, so the effective weighting is not perfectly even — that is acknowledged rather than tuned away.

The headline scale

Averaging six components compresses the composite toward the middle, so the headline is shown as the composite’s percentile against its own history rather than the raw average. 50 is a typical reading; a low number marks an unusually strong headwind and a high number an unusually strong tailwind. The bands are even — Strong Headwind (0–10), Headwind (10–30), Neutral (30–70), Tailwind (70–90), Strong Tailwind (90–100) — and a small amount of hysteresis stops the label flickering when the reading hovers on a boundary. The six component bars stay on their own raw 0–100 scale.

Mixed-frequency handling

The index refreshes daily, but the commodity basket is monthly and short positioning is published four business days late. Each component is normalised at its native frequency and its score is then forward-filled onto the daily grid, stamped by the date the data was actually available (monthly prices lagged about 45 days, ASIC shorts by four business days). This prevents the index from ever using information it could not have had at the time.

Data sources & attribution

• Reserve Bank of Australia — AUD/USD (F11.1) and Commonwealth Government bond yields (F2). Official, free, redistribution-clean.
• FRED (Federal Reserve Bank of St. Louis) — the US high-yield credit spread (ICE BofA) and the IMF commodity price series. Free; source terms apply per series.
• ASIC — aggregated short-position reports. Official government data.

None of these is a licensed exchange share-price or index product. Windows and parameters are published here for transparency and are of our own choosing.

Limitations

• It is indirect. It reads the climate for Australian shares from their drivers, not from share prices. In an idiosyncratic local episode it can lag the market.
• Mixed cadence. A daily core with a monthly commodity leg and a four-day-lagged short leg; the gauge moves at a blended speed.
• Correlated inputs. Commodities, the AUD and global credit share a common risk factor, so equal weighting overstates their independence.
• Relative, not absolute. The headline is a percentile against the available history window, so the same conditions can read slightly differently as the window grows.