Agent-Based Modelling for Liquidity Forecasting
Developing agent-based models for liquidity forecasting in financial markets using computational simulation.
Abstract
Our research focuses on developing agent-based models for liquidity forecasting in financial markets. Using advanced computational methods, we simulate market participant behavior to predict liquidity dynamics and market microstructure effects.
This research is part of our ongoing efforts to advance the understanding of financial market dynamics through innovative computational methods. The sole rights to the content remain with the authors, and as it represents ongoing research, it is subject to change.