Automatic Generation of Bayesian Network Simulators from Financial Texts

Presented at the 9th Annual BayesiaLab Conference on October 15, 2021. \

Abstract

Using Natural Language Understanding (NLU) on millions of texts and optimization, we automatically generate Bayesian Networks centered around financial targets such as the “USA inflation” or “ExxonMobil profits” with strong predictive capabilities. These Bayesian Networks are then loaded into the BayesiaLab simulation tool to enable the testing of various hypotheses on the future evolution of any of the drivers of the specified target. These capabilities can be applied to publicly listed companies, commodities, or macroeconomic indicators.

Presentation Video

Presenters

Dr. Olav Laudy, Chief Data Scientist, Causality Link (opens in a new tab)
Dr. Pierre Haren, CEO, Causality Link (opens in a new tab)