01

Why the LPR is the wrong variable to watch

The property channel versus the rate channel

The People's Bank of China has cut the Loan Prime Rate four times in the past 18 months, and each cut has been accompanied by significant market commentary about the stimulus implications. The desk's view is that this commentary has been systematically misdirected: the LPR is not the variable that matters for China's economic trajectory in the current cycle. The variable that matters is the residential property market, specifically the floor price trajectory in Tier 1 and Tier 2 cities and the rate at which developers are completing pre-sold homes. The LPR affects the stock market, the bond market, and the analyst commentary. The property market determines whether 65 to 70% of Chinese household net worth recovers or continues to decline, and household net worth is the root cause of the consumption shortfall that is preventing China's GDP from reaching its 5% official target.

The desk's framework for analysing the China property cycle separates three distinct problems that are often conflated in the consensus commentary. The first problem is the developer solvency issue: Evergrande, Country Garden and the dozen other large developers that either defaulted or restructured in 2021 to 2024 created a crisis of pre-sale confidence that has structurally reduced new project starts and buyer willingness to commit capital to unfinished projects. This problem is approximately 70% resolved: most of the major defaulted developers have been restructured, the policy bank guarantee programme has reduced the risk of additional pre-sale losses, and the surviving developers have cleaner balance sheets than at any point since 2018.

The second problem is the inventory overhang: approximately 65 million units of housing have been sold but not yet completed, and a further approximately 90 million units are in the planning or early construction pipeline at prices that may not be financeable at current buyer demand levels. This problem is approximately 30 to 40% resolved: the government's 'white list' programme for project completion financing has unlocked approximately CNY 4.5 trillion of bank credit for completion guarantees, but the pipeline still represents a multi-year absorption challenge.

The third problem, and the one that the LPR cannot address, is the household wealth effect from the property price decline. From the 2021 peak to the 2025 trough, residential property prices in China declined on average approximately 18% nationally and approximately 25 to 30% in Tier 2 and Tier 3 cities. For a household where 65 to 70% of net worth is in residential property, a 20% price decline represents a loss of approximately 13 to 14% of total net worth. This wealth effect reduces household consumption in a way that is not sensitive to LPR cuts, because the psychological and accounting impact of the price decline creates a precautionary savings motive that overrides the consumption incentive from lower mortgage rates.

The floor price stabilisation question
02

What floor stabilisation actually requires

Four conditions, two of which are not policy tools

The desk's property floor stabilisation model identifies four conditions that must be met simultaneously for residential property prices to establish a durable floor rather than a temporary pause in a continuing decline. The four conditions are: developer completion credibility, meaning buyers must believe that newly purchased units will be completed on time and to specification; inventory absorption, meaning the ratio of unsold completed units to monthly sales must fall to or below 18 to 20 months in the relevant market; mortgage affordability, meaning the debt service coverage ratio for a median household purchasing a median property must be below 35% of gross income at prevailing mortgage rates; and price momentum signal, meaning 6-month rolling average price changes must turn positive in Tier 1 cities before Tier 2 and Tier 3 follow, because the luxury end of the market provides the aspirational anchor for broader price expectations.

Of these four conditions, two are partially within the policy toolkit. Developer completion credibility has been improved by the white list programme, which provides bank guarantees for project completion financing. Mortgage affordability has been improved by LPR cuts and by the reduction in minimum down payment requirements from 30% to 20% for first-time buyers. The desk's assessment is that both of these policy-addressable conditions are approximately 60 to 70% of the way to the required level.

The two conditions that are not within the standard policy toolkit are inventory absorption and price momentum. Inventory absorption requires time and transaction volume to work through the pipeline of completed unsold units, which is a function of buyer willingness to transact at current prices. Buyer willingness is itself a function of price expectation, which creates a feedback loop: if buyers expect prices to fall further, they defer purchase, which prevents inventory absorption, which confirms the price decline, which reinforces the deferral. Breaking this feedback loop requires a credible price floor signal that convinces buyers that the downside is limited.

The price momentum signal is the most important and the most difficult to manufacture through policy tools. The desk monitors 6-month rolling average price changes from China's National Bureau of Statistics residential property price data for 70 major cities, weighted by transaction volume. As of the most recent data, Tier 1 cities show 6-month price changes of approximately negative 1.2% on average, with the most expensive districts in Beijing and Shanghai showing positive changes of approximately 0.3 to 0.5%. The desk's floor stabilisation trigger is 6-month price changes turning positive in at least four of the five largest Tier 1 cities on a volume-weighted basis. This trigger has not yet been met, but the trajectory in the most recent three months is improving.

Property floor stabilisation scorecard · Apr 2026

Developer completion credibility: 68/100. White list programme has funded CNY 4.5 trillion of completion guarantees. Pre-sale default rate for white-listed projects has fallen to approximately 3.5%, down from 12% in 2022. Inventory absorption: 45/100. Completed unsold inventory represents approximately 24 months of sales at current transaction pace, versus 18 to 20 months required for floor confirmation. Mortgage affordability: 62/100. Debt service coverage for median household at current rates and prices is approximately 38% of gross income, above the 35% threshold but declining as LPR cuts feed through. Price momentum: 38/100. Six-month Tier 1 average is still negative 1.2%. Positive momentum signal not yet met. Four of five Tier 1 cities required. Current reading: one of five showing positive momentum (Shanghai luxury districts).

Why it matters more than the LPR
03

The household wealth channel and its consumption implications

The mechanism that links property to GDP

The connection between Chinese residential property prices and Chinese GDP growth runs through three distinct transmission channels, none of which appear directly in the standard monetary transmission mechanism that LPR cuts address.

The first channel is the wealth effect on household consumption. Chinese households saved at approximately 30 to 35% of disposable income in 2019, which was already high by international standards. Post-2021, the saving rate has risen further to approximately 36 to 38% of disposable income, as households have increased precautionary savings in response to the property wealth loss and the job market uncertainty created by the technology sector regulatory actions. A 38% saving rate implies that approximately 62% of disposable income reaches the consumer goods and services sector. If the saving rate normalises to 32 to 33% over the next 2 to 3 years as property price confidence recovers, the annual consumption increment would be approximately 5 to 6 percentage points of additional household income flowing into the consumption economy, which represents approximately 2 to 2.5 percentage points of GDP growth on top of the baseline trajectory.

The second channel is the local government revenue effect. Chinese local governments funded approximately 35 to 40% of their total revenue from land sales to developers in the 2015 to 2021 period. The collapse of developer land purchases from approximately CNY 8.7 trillion in 2021 to approximately CNY 3.2 trillion in 2025 has created a structural revenue shortfall for local governments that constrains their ability to implement the infrastructure spending programmes that the central government has committed to. Property floor stabilisation, by encouraging developers to restart land purchases, would partially restore local government fiscal capacity and enable the infrastructure spending multiplier to operate more effectively.

The third channel is the banking system's asset quality. Chinese banks hold approximately CNY 50 to 55 trillion of residential mortgage loans and CNY 12 to 15 trillion of developer loans. The decline in property prices has increased the loan-to-value ratios on mortgage portfolios and has created non-performing loan pressure in the developer book. A property price floor stabilisation would stop the accumulation of new credit losses in the banking system and allow banks to resume normal risk appetite for non-property lending, which is the channel through which credit stimulus reaches the broader economy.

The LPR is the price of credit. The property floor is the precondition for credit demand. Reducing the price of a good that nobody wants to buy does not increase demand for that good.

Sigma Trust Desk · April 2026
What changes when the floor is confirmed
04

The asset market implications of floor confirmation

A non-linear re-rating event

The desk's central thesis is that a confirmed property price floor, defined as the four-of-five Tier 1 city positive momentum trigger being met, would be a non-linear re-rating event for Chinese asset markets rather than a linear incremental improvement. The distinction is important for positioning: if the re-rating is linear, investors can accumulate positions gradually as evidence of stabilisation accumulates. If the re-rating is non-linear, the market repricing happens faster than gradual accumulation allows, and the investor who waits for confirmation before positioning captures only a fraction of the move.

The historical analogy that the desk finds most instructive is the US housing market stabilisation of 2012. After five years of price declines from the 2006 peak, US residential property prices established a floor in early 2012 in a handful of leading markets (Phoenix, Miami, San Diego). The re-rating of US housing equities, financial stocks exposed to mortgage credit, and consumer discretionary stocks happened within approximately 6 months of the floor confirmation, and the move was 25 to 35% for the most directly exposed equities. Investors who waited for price appreciation to be sustained across the full national market before buying missed the majority of the move.

The Chinese property analogy is imperfect in several ways: Chinese residential property is less liquid and more regionally concentrated than the US market, the ownership structure differs significantly, and the policy environment is more interventionist. But the core mechanism, a non-linear shift in buyer psychology from deferral to engagement once the downside is perceived as limited, should operate in a similar direction if less extreme in magnitude.

The desk's estimates for the re-rating magnitude of the confirmation event are: A-shares in property-related sectors (materials, construction, financials with property exposure) re-rate 15 to 25% over 6 months; the Chinese consumer discretionary sector re-rates 10 to 18% as the household confidence recovery begins to feed through to spending; the H-share market narrows its discount to A-shares from approximately 28% to approximately 18% as offshore investors partially close their structural underweight; and LGFV bonds in provinces with above-average property exposure recover 100 to 150 basis points of spread as the land revenue outlook improves.

Scenario framework and positioning
05

Three scenarios for the property floor

The timing question that determines everything
Base case
44% probability
Property floor stabilisation trigger (four of five Tier 1 cities positive momentum) is met in Q3 2026. The re-rating of property-adjacent equities and credit is front-loaded within 3 to 6 months of confirmation. Consumer confidence begins recovering in Q4 2026 as the wealth effect reversal starts. GDP growth reaches 5.0 to 5.2% in 2027, above the 2026 trajectory. A-shares re-rate 15 to 20% from current levels in the property-related sectors.
Upside
22% probability
A surprise acceleration in urban land purchase volume, driven by state-owned developer mandates to absorb white-listed project sites, pulls forward the inventory absorption timeline. Tier 1 price momentum turns positive in Q2 2026. The re-rating is faster and larger than the base case. A-shares re-rate 25 to 35% in property-adjacent sectors. Offshore China discount compresses to 15% or below.
Stress
34% probability
Inventory absorption stalls as buyer psychology remains in deferral mode despite LPR cuts and down-payment reductions. Tier 1 price momentum remains negative through end-2026. Consumer confidence does not recover materially. GDP growth remains at 4.5 to 4.8% through 2026. A-shares consolidate in a range without a broad re-rating event. The government announces additional targeted support measures but they are insufficient to break the deferral feedback loop.
Composite desk score
52
Out of 100
Sigma Trust
Apr 2026
LD-1081
Developer credibility
68
Inventory absorption
45
Mortgage affordability
62
Price momentum
38

The inventory absorption score of 45 and the price momentum score of 38 are the two lowest readings in the dashboard and the two conditions that are not within the standard policy toolkit. These are the variables that the desk monitors with the highest priority because their movement from current levels to the threshold is the primary indicator of floor stabilisation progress. A 5-point improvement in either score over a single quarter would be the most significant positive signal available.

01
Position for the floor confirmation as a non-linear event, not a gradual improvement. The desk's Chinese equity allocation is structured to be positioned before confirmation rather than after. The vehicle is a basket of the four most property-exposed A-share sectors (materials, construction, financials with CRE exposure, and consumer discretionary), sized at 60% of the target weight before confirmation and scaling to 100% target weight within 10 days of the four-of-five Tier 1 momentum trigger being met.
02
Monitor the six-month price change data from NBS as the primary trigger indicator. The National Bureau of Statistics publishes residential property price data for 70 cities monthly, with a lag of approximately 15 days. The desk calculates a volume-weighted 6-month rolling average for the Tier 1 city subset (Beijing, Shanghai, Guangzhou, Shenzhen, Chengdu) and publishes this indicator monthly. Current reading: one of five cities showing positive 6-month momentum.
03
Use the H-share discount as a secondary confirmation signal. If offshore institutional investors begin reducing their structural underweight before the NBS data confirms a floor, the H-share discount will compress. A move from the current 28% discount to below 22% would indicate that offshore investors are front-running the floor confirmation, which would validate adding to A-share and H-share positions before the NBS trigger is formally met.