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Housing Provident Fund May Become a New Policy Lever to Stabilize China's Property Market

Institution
UBS
Date
2026-08-18
Authors
John Lam, CFA, Vera Gong, CFA, Mark Leung, Ben Ho
Company
-
Ticker
-
Industry
Real Estate
Rating
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NeutralMedium confidenceThe report believes there remains room for cuts to housing provident fund loan rates; a further 25bp cut could reduce homebuyer funding costs, improve holding returns in Tier 2 and Tier 3 cities, and primarily benefit existing-home transactions and developers with active land banks in Tier 1 and Tier 2 cities.
AuthorsJohn Lam, CFA, Vera Gong, CFA, Mark Leung, Ben Ho
Business segmentsReal Estate Development、Real Estate Brokerage and Existing-Home Transactions、Property Management
Research firm divisions/subsidiariesUBS(Other)

AI summary card

Housing Provident Fund May Become a New Policy Lever to Stabilize China's Property Market

UBS believes that the housing provident fund has a large balance, a declining utilization rate, and interest-rate adjustments that lag market-based mortgage rates; further rate cuts could improve existing-home transactions and real estate markets in core cities.

Industry view is moderately positive; key beneficiaries include existing-home transaction platforms and developers with high exposure to Tier 1 and Tier 2 cities and active land-bank replenishment.
Real EstateHousing Provident FundPolicy EasingExisting HomesRental YieldTier 1 Cities
  • As of end-2024, housing provident fund balances totaled approximately RMB 10.9 trillion, with loan balances of approximately RMB 8 trillion and a utilization rate of approximately 74%, leaving room to support housing demand.
  • Since 2016, housing provident fund loan rates have been cut by only 65bp cumulatively, less than the cumulative 140bp reduction in benchmark rates or the LPR.
  • As of July 2026, the spread between first-home commercial mortgages and housing provident fund loan rates had narrowed to 50bp, indicating a weakening cost advantage for provident fund loans but also room for further rate cuts.
  • If housing provident fund rates are cut by another 25bp, financing costs in Tier 2 and Tier 3 cities could fall below rental yields, improving holding returns and easing pressure from existing-home listings.
  • As of August 16, 2026, existing-home transaction volume in 12 major cities rose 10% year to date year on year, substantially outperforming the 13% year-on-year decline in nationwide new-home transactions in the first seven months of 2026.

Report interpretation

Overview

The report analyzes the potential role of China's housing provident fund system in stabilizing the property market. As restrictive policies such as home-purchase limits approach comprehensive relaxation and macro data remain weak, housing provident fund reform and potential loan-rate cuts are viewed as new policy tools.

Core views

The housing provident fund pool totals approximately RMB 11 trillion, loan utilization has declined over the past five years, and balances are still growing at approximately 9% year on year, indicating that the system can further support housing demand. As provident fund loan rates have adjusted more slowly than overall monetary easing, further cuts could restore their relative financing advantage versus commercial mortgages. Rental yield is an important anchor for housing-price stability: when financing costs fall below rental yield, holding returns on investment housing improve, potentially reducing existing-home listings and easing inventory and price pressure.

Analysis framework

The analysis cross-references housing provident fund pool size, loan utilization, loan market share, the spread between commercial mortgages and provident fund loans, city rental yields, existing-home transactions, listing volume, and housing-price trends, while comparing market performance across Tier 1, Tier 2, and Tier 3 cities.

Methodology notes

  • Policy Transmission AnalysisHousing Provident Fund Rate–Housing Demand Transmission

    Reducing homebuyer financing costs by lowering housing provident fund loan rates

    Lower financing costs can boost first-time and existing-home purchase demand, while increasing the attractiveness of provident fund loans relative to commercial mortgages.

  • Real Estate Valuation and Holding ReturnsRental Yield and Negative Holding Return Analysis

    Measuring the economics of holding housing through the spread between rental yield and mortgage rates

    When rental yield is below financing costs, holding housing generates negative holding returns; rate cuts can narrow or reverse this gap and reduce selling pressure.

  • Market Supply-Demand AnalysisExisting-Home Transactions and Listings Tracking

    Assessing existing-home market supply and demand through transaction volume, listing growth, and price changes

    Improved transactions and slower listing growth support destocking and price stability; the report believes Tier 1 cities have shown clearer signs of stabilization.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

  • KE Holdings
    Direct beneficiary of existing-home transactions
    Strengths
    Improving existing-home transaction volumes and easing of provident fund policies can directly support transaction activity.
    Weaknesses
    Highly sensitive to existing-home market conditions and buyer confidence.
    Comparison
    Compared with developers, it has more direct upside sensitivity to improvements in existing-home transactions resulting from provident fund rate cuts.
    Risks
    If home prices continue to decline, rents remain weak, or policy effects are limited, transaction recovery may fall short of expectations.
  • CR Land
    Real estate developer benefiting from policy easing
    Strengths
    Its exposure to Tier 1 and Tier 2 cities and active land-bank replenishment may benefit from improving demand in core cities.
    Weaknesses
    Its development business remains affected by industry sales and financing conditions.
    Comparison
    Compared with existing-home transaction platforms, it benefits more through new-home demand and improving core-city markets.
    Risks
    Demand-restriction policies, tighter developer financing, and weaker-than-expected residential demand.
  • COLI
    Real estate developer benefiting from policy easing
    Strengths
    The report identifies it as a potential beneficiary with Tier 1 and Tier 2 city exposure and active land-bank replenishment.
    Weaknesses
    Uncertainty remains around sector valuation and sales recovery.
    Comparison
    Like CR Land, Greentown, C&D, and Jinmao, it is among the developer beneficiaries.
    Risks
    Failure of real estate sales, prices, and financing conditions to improve.
  • Greentown
    Real estate developer benefiting from policy easing
    Strengths
    May benefit from homebuyer demand and lower financing costs in Tier 1 and Tier 2 cities.
    Weaknesses
    Sensitive to market divergence across cities and sector liquidity conditions.
    Comparison
    The policy benefit transmission is less direct than for KE Holdings' transaction business.
    Risks
    Continued price weakness in Tier 2 and Tier 3 cities and weaker-than-expected transaction recovery.
  • C&D
    Real estate developer benefiting from policy easing
    Strengths
    Identified by the report as a potential beneficiary.
    Weaknesses
    Affected by new-home sales and sector financing conditions.
    Comparison
    Shares the policy-improvement rationale of other developers exposed to core cities.
    Risks
    Insufficient policy easing and weak residential demand.
  • Jinmao
    Real estate developer benefiting from policy easing
    Strengths
    Identified by the report as a potential beneficiary.
    Weaknesses
    Sales, financing, and asset-disposal pressures may persist amid the sector downturn.
    Comparison
    Its benefit rationale mainly stems from stabilizing core-city markets and improving homebuyer demand.
    Risks
    Tighter financing, demand-restriction policies, or below-expected residential growth.

Key data

  • Housing Provident Fund BalanceApproximately RMB 10.9 trillion (end-2024)Approximately RMB 11 trillion in the report overview.
  • Housing Provident Fund Loan BalanceApproximately RMB 8 trillion (end-2024)Corresponding to a fund utilization rate of approximately 74%.
  • Housing Provident Fund Loan Utilization RateApproximately 74%Continued to decline over the past five years.
  • Housing Provident Fund Loan Market Share17.6% (end-2024)15.3% at end-2021, as a share of combined commercial mortgages and provident fund loans.
  • Difference in Rate AdjustmentsSince 2016, provident fund loan rates have been cut by 65bp cumulatively; benchmark rates or the LPR have been cut by 140bp cumulativelyIndicates that provident fund rates have lagged relatively.
  • Current Financing Spread50bp (July 2026)The spread between first-home commercial mortgage rates and housing provident fund loan rates in major cities.
  • Average Rental Yield in 50 Cities2.41% (July 2026)Rental yield in Tier 1 cities was 1.81%.
  • Existing-Home TransactionsUp 10% year on year in 12 major cities year to date through August 16, 2026Nationwide new-home transactions declined 13% year on year in the first seven months of 2026.
  • Existing-Home Listing GrowthUp 1.4% year on year in 50 cities (August 2026)Significantly slower than 10% in December 2025.

Impact & implications

If housing provident fund loan rates are cut by a further 25bp, the report expects the most direct support for existing-home transactions, while holding returns in Tier 2 and Tier 3 cities could improve. With rental prices and existing-home supply-demand conditions becoming more stable, Tier 1 city home prices may stabilize earlier; among developers, companies exposed to Tier 1 and Tier 2 cities and actively replenishing land banks may benefit.

Risks

  • Renewed tightening of housing-demand restrictions or mortgage policies.
  • Persistently tight financing conditions for real estate developers.
  • Weaker-than-expected recovery in residential sales, investment, and prices.
  • Continued declines in rental prices, weakening rental yield support for home prices.
  • Policies to cut housing provident fund rates or expand their scope of use may not be implemented, or may have limited effectiveness.
  • Continued growth in existing-home listings in Tier 2 and Tier 3 cities, increasing price pressure.

What to watch

  • Follow-up rules from the Ministry of Housing and Urban-Rural Development, the People's Bank of China, and the Ministry of Finance regarding housing provident fund deposit and loan rates and scope of use.
  • Whether housing provident fund loan rates are cut by a further 25bp or more.
  • Whether year-on-year declines in rental prices in 50 cities and Tier 1 cities continue to narrow, and whether rents in Shanghai, Beijing, and Shenzhen continue to stabilize.
  • City-level changes in existing-home transaction volumes, listings, and prices, especially divergence between Tier 1 cities and Tier 2 and Tier 3 cities.
  • New-home sales, developer financing conditions, and the pace of land-market replenishment.
Zhejiang ICP No. 2022035445-5
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