activity
20182026
most citedUnderstanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach

46 citations · 124 across the 7 of their papers we have counts for

collaborators

9 papers

q-fin.TR2026

Understanding the Inner Workings of a State-Space Foundation Model for Limit Order Books

Valentin Mohl, Alexandre Bismuth, Aramis Marti-Shahandeh +6

Autoregressive foundation models offer state-of-the-art capabilities to simulate the market by generating the message flow of limit order books (LOBs). Yet, without understanding t…

astro-ph.SR2026

20,000 Rotation Periods in Nearby Open Clusters and Moving Groups from ZTF and ASAS-SN

Yuxi Lu

Open clusters provide uniquely powerful laboratories for studying stellar evolution because their members share a common age and chemical composition. Stellar rotation of low-mass…

q-fin.TR2023★ 2 cited

JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading

Sascha Frey, Kang Li, Peer Nagy +5

Financial exchanges across the world use limit order books (LOBs) to process orders and match trades. For research purposes it is important to have large scale efficient simulators…

cs.MA2023★ 3 cited

Some challenges of calibrating differentiable agent-based models

Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu +1

Agent-based models (ABMs) are a promising approach to modelling and reasoning about complex systems, yet their application in practice is impeded by their complexity, discrete natu…

cs.MA2023★ 1 cited

Bayesian calibration of differentiable agent-based models

Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu +2

Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex systems; however, the intractability of ABMs' likelihood functions and the non-differentiab…

eess.SY2021★ 15 cited

Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems

Jie Zhang, Alexandra Brintrup, Anisoara Calinescu +2

Digital twin technology has been regarded as a beneficial approach in supply chain development. Different from traditional digital twin (temporal dynamic), supply chain digital twi…

cs.LG2020★ 15 cited

Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions

Angira Sharma, Edward Kosasih, Jie Zhang +2

Digital Twin was introduced over a decade ago, as an innovative all-encompassing tool, with perceived benefits including real-time monitoring, simulation and forecasting. However,…

q-fin.GN2020★ 42 cited

How Market Ecology Explains Market Malfunction

Maarten P. Scholl, Anisoara Calinescu, J. Doyne Farmer

Standard approaches to the theory of financial markets are based on equilibrium and efficiency. Here we develop an alternative based on concepts and methods developed by biologists…

q-fin.TR2018★ 46 cited

Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach

James Paulin, Anisoara Calinescu, Michael Wooldridge

The purpose of this paper is to advance the understanding of the conditions that give rise to flash crash contagion, particularly with respect to overlapping asset portfolio crowdi…