We have a proprietary data base that we have about a million plus past sals results on. We've built about six different technical products in house that ought to meete that process for collection, and just gin a tabling featuring running simulation and analysis. And there things that, honestly, some of them are very common, what you would think of what we call like museum plac data. So i think a lot of the features that you think about when you're building in your model or models is not how this works.
Our guest this week is Madelaine D’Angelo, Co-founder and CEO of Arthena, the first quantitative investment firm for art assets. The firm uses hundreds of thousands of data points to identify the factors (artist, year of creation, gallery displays, etc.) that are predictive of future returns. In this wide-ranging conversation, Jim, Jamie, and Madelaine discuss:
- Value & Momentum factors in the art market.
- Arthena’s models.
- The problems with repeat sales data.
- Portfolio construction and exit strategy.
- The nuances of investing in art assets.
- Biggest misconceptions about art investing.
For more information, check out https://arthena.com/ .