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The Hidden Risk in Luxury Districts: Why Prime Real Estate Isn’t Always Safe

  • Sumit Agarwal by Sumit Agarwal
    Sumit Agarwal Sumit Agarwal
    Low Tuck Kwong Distinguished Professor at NUS; ex-Georgetown and Chicago Fed; author of Kiasunomics; leading researcher on household finance and real estate.
      Daniel McMillen
      Daniel McMillen Daniel McMillen
      Daniel McMillen is Professor of Real Estate at UIC, former editor of leading urban economics journals, past President of AREUEA, and a widely published scholar in real estate and urban economics.
        Daniel McMillen Daniel McMillen
      • •
      • February 25, 2026
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      • 5 min read
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      The Hidden Risk in Luxury Districts: Why Prime Real Estate Isn’t Always Safe

      Luxury districts are often treated as defensive anchors in a portfolio. They outperform in expansions, attract global capital, and command the deepest liquidity. On the surface, they look like the safest place to stand when uncertainty rises.

      Yet the data tells a more complicated story.

      When real estate markets move into expansion regimes, price dispersion across a city does not remain stable, it widens. Certain submarkets accelerate faster than others. Central and premium districts rise more sharply, creating visible peaks on spatial heat maps. In downturns, those same peaks can flatten abruptly. What looks like resilience in good times can translate into amplified downside when the regime shifts.

      For investors relying on city-level indices, this risk often remains invisible. Aggregate benchmarks smooth away the spatial gradients that drive real volatility. The headline number rises steadily, until it doesn’t.

      The contradiction is clear: prime districts outperform in expansions and can underperform when protection is needed most. The problem is not the asset. It is the lens.

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      When Prime Assets Become Prime Risk

      Traditional price indices assume spatial homogeneity. They model property values as if a city behaves like a single organism, with minor variation around a common trend. But real estate does not move evenly across space. It clusters. It concentrates. It diverges.

      Spatial–temporal modelling shows that price dispersion increases significantly during boom regimes. In other words, as markets heat up, inequality across neighborhoods intensifies. Peaks grow steeper. The map reshapes itself. Regime-switching analysis further confirms that markets alternate between low-dispersion and high-dispersion states. These are not cosmetic shifts; they alter how risk distributes across geography.

      Variance decomposition adds another layer: location effects explain more variation in price than physical property characteristics. Structural features matter but geography matters more. The cycle is spatially selective.

      For investors, the implication is direct. Concentrating capital in premium submarkets during expansion phases may unintentionally magnify regime-sensitive exposure. When dispersion contracts, those same districts can adjust more sharply. The apparent safety of prime assets may be conditional, not absolute.

      South Quay Plaza (Harcourt Gardens) - London

      Affordable Luxury, Prime Location - Perfect For internationals 

      Volatility Is Spatial, Not Just Cyclical

      Most investors interpret real estate cycles through aggregate price movements. They ask whether the market is up or down, accelerating or slowing. But the more decisive shift happens beneath the surface: cycles reshape spatial hierarchies.

      During expansions, price dispersion widens. Central districts and high-demand clusters rise faster than peripheral areas. Capital crowds into visible winners. The map becomes uneven.

      When regimes shift, dispersion compresses. Adjustments do not occur symmetrically. Areas that experienced the steepest ascent may face sharper recalibration. The premium that once reflected momentum can convert into volatility.

      This reframes the defensive narrative of luxury assets. Prime districts are not inherently safe or unsafe. They are regime-sensitive. Their risk profile depends on dispersion dynamics.

      Investors who continue to treat cycles as purely temporal phenomena risk overlooking the geographic dimension of volatility. The more refined strategy is not to abandon prime assets, but to understand how spatial regimes amplify or dampen exposure.

      The cycle matters. But where you stand on the map may matter more.

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      From Insight to Action

      Recognising spatial volatility is only useful if it translates into disciplined allocation. Below is a practical roadmap for investors who want to integrate regime-aware geographic intelligence into their strategy.

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      Sumit Agarwal Sumit Agarwal
      Low Tuck Kwong Distinguished Professor at NUS; ex-Georgetown and Chicago Fed; author of Kiasunomics; leading researcher on household finance and real estate.
        Sumit Agarwal Sumit Agarwal
        Low Tuck Kwong Distinguished Professor at NUS; ex-Georgetown and Chicago Fed; author of Kiasunomics; leading researcher on household finance and real estate.
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