Most French companies analyse their market in silos. Transport on one side, real estate on the other, construction apart, the economy as background noise. That's a perspective error: these four sectors form a coupled system, where a shock on one propagates to the three others with predictable delays. Here's how to read this system, and how it changes the quality of your decisions.
between the 4 sectors
real estate ↔ construction (2015-2025)
gained from a cross-sector reading
Why these four sectors can't be analysed in isolation
If you're a carrier, you watch the CNR index, diesel prices, customs volumes. If you're a property developer, you track interest rates, price per square metre, new-build inventory. Each is legitimate within its perimeter, but each misses the signals coming from the outside.
In France, transport, real estate, construction and the economy are linked by economic mechanisms that are stable, measurable and historically verified. Ignoring these links is like driving a car while looking at a single rear-view mirror.
- The 4 sectors share 3 pivotal variables: interest rates, household confidence, energy prices.
- A shock in one sector reaches the other three within 4 to 9 months.
- The hierarchy of leading indicators depends on the type of shock, there's no single rule.
The main causal chain
Here's the propagation pattern we observe most often, confirmed by INSEE, Banque de France and customs data over the 2015-2025 decade.
- Economy → Real estate. A rise in the base rate makes credit more expensive, shrinks solvent demand and freezes transactions within 2 to 4 months.
- Real estate → Construction. The drop in new-build sales feeds through to housing starts within 4 to 6 months, then to the order books of construction companies.
- Construction → Transport. The slowdown in material volumes (concrete, steel, insulation) weighs on road freight, particularly regional flows and carriers dedicated to construction.
- Transport → Economy. Transport indicators (road freight, tonne-kilometres) in turn become leading signals of industrial activity, closing the macro loop.
A sector read in isolation is a single-variable equation. Four sectors cross-read are a system, and that's exactly what our models do every month.
The textbook case: a 100 basis point rate hike
Take a concrete scenario France has recently lived through: a 100 basis point rise in the ECB's base rate. Here's how our models see the wave propagate sector by sector, horizon by horizon.
Mortgage rates react within a few weeks. Transaction volumes typically drop 10 to 18%, with apparent price stability (adjustment happens first on quantities).
Housing starts fall 8 to 15%. Construction companies see their order books shrink, particularly in new residential and equipment.
Road freight records a 3 to 6% drop in tonne-kilometres. Household confidence adjusts consumption, which in turn weighs on GDP.
This isn't a theoretical prediction: it's the empirical pattern we find in 4 out of 5 episodes since the monetary shocks of 2011, 2015 and 2022. Magnitudes vary, but the sequence holds.
The weak signals that precede the shock
Cross-sector reading isn't only about anticipating propagation, it also helps you see the turning point coming before it reaches your sector. Three weak signals are particularly useful:
- Ready-mix concrete production (SNBPE) usually weakens 3 months before official housing-start statistics show it.
- The PMI Services index falls below 50 on average 2 months before household sentiment (INSEE) visibly breaks down.
- The load factor of long-distance trucks (observable via telematics data) deteriorates 4 to 6 weeks before official road freight statistics record it.
Each of these signals, taken alone, remains noisy. But when they align, the probability that the turning point is underway climbs significantly. That's exactly the kind of convergence our dashboards monitor continuously.
What this changes for decision-making
For a decision-maker, a cross-sector reading unlocks three decisions that a siloed reading makes impossible:
- Arbitrate investments earlier. Postponing a rolling-stock purchase by six months when real estate already shows early slowdown signs preserves 6 to 12 points of cash.
- Secure your commercial contracts. Negotiating indexation clauses or minimum volumes with your construction clients as monetary tightening materialises locks in the order book before the market turns.
- Manage hiring with precision. Continuing to hire in logistics for 4 more months because consumer demand remains firm, even as real estate slips, avoids breaking a team you'd have to rebuild 18 months later.
Conversely, companies that only watch their own sector always end up reacting after their competitors. In a coupled system, there's no magic: those who see the wave two quarters before the others hold a significant competitive edge.
In summary
Transport, real estate, construction and the economy aren't four parallel markets: they're four faces of the same economic die. Reading them together requires tooling, statistical models, leading indicators, monthly updates, that few companies can afford in-house.
That's exactly what Nexelys delivers: every month, an integrated reading of the four sectors with 3, 6 and 12-month forecasts. So you decide before the market turns, not after.
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