As Large Language Models (LLMs) make vast quantities of public data readily accessible and effectively…
On the Value of Analyst Forecasts
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 methodology of “Valuing Financial Data”: note that this preceding paper was already covered on a previous blog post (On the Value of Future Macroeconomic Releases) with a working example.
The results of “Valuing financial data: The case of analyst forecasts” are very much in agreement with “Valuing Financial Data“,, thus confirming its validity across different jurisdictions. Furthermore, it introduces heterogeneity in the the valuation of data: 1) market size displays a left-skewed distribution; 2) higher value for assets with high analyst attention; 3) and assets with excellent transparency.