6 citations · 12 across the 4 of their papers we have counts for
5 papers
Agent-based Liquidity Risk Modelling for Financial Markets
Perukrishnen Vytelingum, Rory Baggott, Namid Stillman +4
In this paper, we describe a novel agent-based approach for modelling the transaction cost of buying or selling an asset in financial markets, e.g., to liquidate a large position a…
Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks
Namid R. Stillman, Rory Baggott, Justin Lyon +4
The ability to construct a realistic simulator of financial exchanges, including reproducing the dynamics of the limit order book, can give insight into many counterfactual scenari…
Deeper Hedging: A New Agent-based Model for Effective Deep Hedging
Kang Gao, Stephen Weston, Perukrishnen Vytelingum +3
We propose the Chiarella-Heston model, a new agent-based model for improving the effectiveness of deep hedging strategies. This model includes momentum traders, fundamental traders…
Understanding intra-day price formation process by agent-based financial market simulation: calibrating the extended chiarella model
Kang Gao, Perukrishnen Vytelingum, Stephen Weston +2
This article presents XGB-Chiarella, a powerful new approach for deploying agent-based models to generate realistic intra-day artificial financial price data. This approach is base…
High-frequency financial market simulation and flash crash scenarios analysis: an agent-based modelling approach
Kang Gao, Perukrishnen Vytelingum, Stephen Weston +2
This paper describes simulations and analysis of flash crash scenarios in an agent-based modelling framework. We design, implement, and assess a novel high-frequency agent-based fi…