Testing for Causality in Continuous Time Bayesian Network Models of High-Frequency Data

Understand

Continuous time Bayesian networks are investigated with a special focus on their ability to express causality.

• A framework is presented for doing inference in these networks.
• The central contributions are a representation of the intensity matrices for the networks and the introduction of a causality measure.
• A new model for high-frequency financial data is presented.