The Everything Bubble: Are All Assets Overvalued?
The everything bubble thesis says low rates inflated stocks, bonds, housing, and alternatives at once. We weigh the evidence, the counterarguments, and what investors do.
Deeply reported features from the Masterworks Research Team, published weekly.
The everything bubble thesis says low rates inflated stocks, bonds, housing, and alternatives at once. We weigh the evidence, the counterarguments, and what investors do.
How a 1,175 dollar New Orleans find became a 450.3 million dollar record, and what the Salvator Mundi teaches investors about attribution and provenance risk.
What Pop Art is, who made it, and why it became one of the deepest, most liquid blue-chip collecting categories at auction. A market view of Warhol and Lichtenstein.

German Expressionism is a deep, blue-chip Modern category where Nazi-era seizure and restitution history sit at the center of provenance, price, and risk.
What a structured note is, how buffers, barriers, and principal protection work, the issuer credit risk you take on, and who they suit.
The discount rate converts future cash flows into present value. Here is why small changes in it cause large valuation swings, and what that means for art.
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.
Op Art and Kinetic Art are a small, devoted collecting category led by Bridget Riley and Victor Vasarely. Here is how the market works and why a niche can still matter to an investor.
What alpha and beta actually measure, why true alpha is rare and expensive, what SPIVA shows, and how to think about paying for skill versus market exposure.
A fund of funds buys diversification and manager access, but it adds a second fee layer on top of the underlying funds. Here is the math and when it pays off.

What Color Field painting is, why Rothko and Newman set nine-figure prices, and how the strand sits inside the blue-chip postwar market for investors.
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.