Data and Research
What Indices Track Art Market Performance, and Their Limitations
A guide to the major art market indices (Mei Moses, Artprice, Artnet, Knight Frank, Masterworks), how each is built, and where every one of them falls short.
Section
Data and Research
Data and Research
How Reliable Are Repeat-Sales Indices for Art?
Repeat-sales indices track the same work across sales to isolate price change. They are the cleanest art index we have, and they have real, knowable limits.
Data and Research
Hedonic Regression in Art Pricing: How Characteristics Drive Value
Hedonic regression prices a painting as a bundle of traits, size, medium, signature, provenance, and reads each one's effect on value. Here is how it works.
Data and Research
Building a Usable Art Transaction Database: Lessons From 50M+ Records
How auction records become an investable dataset: aggregation across 6,000+ houses, currency normalization, artist entity resolution, and human review.
Data and Research
How Sample Selection Bias Distorts Published Art Returns
Owners resell winners and hold losers, so published art returns skew high. Correcting for it cut measured art returns from 8.7% to 6.3% a year in one study.
Data and Research
Machine Learning and Art Valuation: What Models Can and Cannot Predict
Machine learning prices art well where data is deep and traits are observable, and poorly where taste, scarcity, and the masterpiece premium take over. Here is the line.
Data and Research
Does Masterworks Invest in Ultra Contemporary or Only Blue Chip Artists?
Masterworks focuses on investment grade, blue chip art rather than speculative ultra contemporary work. Here is the data behind that distinction and how we choose what to buy.
Data and Research
Appraisal Lag: Why Art Valuations Are Always Looking Backward
Appraisal-based art valuations lag the real market and smooth out volatility, the same way private real estate and PE marks do. Here is why that matters for measuring risk.