A $20 trillion asset class,
now becoming
institutionally investable
MUSE Intelligence builds the benchmark, data system, and methodology layer that helps make investment-grade luxury real assets — watches, handbags, classic cars, fine wine, and rare spirits — measurable, comparable, and institutionally legible.
We help institutional investors, family offices, and market participants measure, compare, and review luxury real assets through benchmark data, methodology, and market intelligence.
The MLII benchmark suite.
MLII vs Major Asset Classes
The MUSE Luxury Investment Index is shown against major liquid asset classes to review relative return, volatility, and correlation behaviour. These lines show normalized performance rather than current asset prices: each starts from the same reference level for the selected period. Market comparisons use the S&P 500 price index, Bitcoin, Gold through the GLD exchange-traded proxy, and US Bonds through the AGG exchange-traded proxy.
| Asset | Return | Vol | Sharpe |
|---|---|---|---|
| MLII | — | — | — |
| S&P 500 (^GSPC) | — | — | — |
| Bitcoin | — | — | — |
| Gold (GLD) | — | — | — |
| US Bonds (AGG) | — | — | — |
MLII and Category Indices
This view decomposes the MUSE Luxury Investment Index into handbags, watches, fine wine, and automotive categories. The lines are normalized from their first available observation so their percentage movement can be compared; a level of 120 means the series is 20% above where it started.
| Index | Return | Vol | Sharpe |
|---|---|---|---|
| MLII | — | — | — |
| Handbag | — | — | — |
| Watch | — | — | — |
| Fine Wine | — | — | — |
| Automotive | — | — | — |
From Real Assets to Financial Exposure
A three-layer framework for organizing asset evidence,
market data, and institutional review.
VERIFIED REAL ASSETS
MUSE
INTELLIGENCE
INSTITUTIONAL CONNECTIONS
Built for Institutions.
Designed for the Future.
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Institutional-grade index governanceIndependent oversight committee, quarterly review minutes, public restatement policy.
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Transparent, auditable methodology4-step framework — Universe selection · Data normalization · Quality adjustment · Index governance.
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Multi-source data infrastructure340+ data sources across auction, resale, private-market, and supplier feeds. Model-assisted data normalization.
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Singapore-domiciled · institutionally framedMUSE Intelligence Pte Ltd · Singapore HQ · MAS Recognised Market Operator path in progress · IOSCO-principles aligned.
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Designed for institutional reviewBuilt for licensing discussions, structured-product review, and discretionary mandate evaluation. Data-terminal integrations remain on the roadmap.
MUSE Intelligence is building the data and methodology layer for luxury real assets.
Research from the desk.
Luxury Watch Prices Hit a Two-Year High
What Really Happened in the Collector Car Market 2024
Fine Wine Indices: Performance & Returns
