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As Large Language Models (LLMs) make vast quantities of public data readily accessible and effectively commoditise public knowledge, private data becomes increasingly valuable: this shift has been named “The Tragedy of the AI Data Commons” in a recent publication regarding…

Continuing with our series of blog-posts on the valuation of data and its application to secure computation, we note the recent publication of “Valuing financial data: The case of analyst forecasts”. This newer paper replicates for the Chinese market the…

You would willing to pay between 13% and 23% of your personal wealth for continuous access to undisclosed financial information: that’s an estimate on the private value of information as a percentage of personal wealth according to a study by…

From a forthcoming publication (“Estimating the Private Value of Financial Statement Statistics”), we know that an institutional investor would be willing to pay $170,515 for the future value of Return Of Equity (ROE) of the median firm from the COMPUSTAT…

From a recent publication in the Review of Financial Studies (“Valuing Financial Data”), we know that a fund with assets of $250M would be willing to pay the remarkable amount of $1.4M for the ability to perfectly forecast quarterly GDP…

A new use case regarding the use of secure computation techniques on monetary policy rules has been published, teaching how to securely compute on policy rules in a private way.