activity
20202026
most citedTail-GAN: Learning to Simulate Tail Risk Scenarios

10 citations · 29 across the 24 of their papers we have counts for

collaborators
Showing q-fin.TRShow all

6 papers · 1 filter

q-fin.TR2025

JaxMARL-HFT: GPU-Accelerated Large-Scale Multi-Agent Reinforcement Learning for High-Frequency Trading

Valentin Mohl, Sascha Frey, Reuben Leyland +6

Agent-based modelling (ABM) approaches for high-frequency financial markets are difficult to calibrate and validate, partly due to the large parameter space created by defining fix…

q-fin.TR2025

ClusterLOB: Enhancing Trading Strategies by Clustering Orders in Limit Order Books

Yichi Zhang, Mihai Cucuringu, Alexander Y. Shestopaloff +1

In the rapidly evolving world of financial markets, understanding the dynamics of limit order book (LOB) is crucial for unraveling market microstructure and participant behavior. W…

q-fin.TR2025

The Market Maker's Dilemma: Navigating the Fill Probability vs. Post-Fill Returns Trade-Off

Jakob Albers, Mihai Cucuringu, Sam Howison +1

Using data from a live trading experiment on the Binance Bitcoin perpetual, we examine the effects of (i) basic order book mechanics and (ii) the persistence of price changes from…

q-fin.TR2023

DeFi: data-driven characterisation of Uniswap v3 ecosystem & an ideal crypto law for liquidity pools

Deborah Miori, Mihai Cucuringu

Uniswap is a Constant Product Market Maker built around liquidity pools, where pairs of tokens are exchanged subject to a fee that is proportional to the size of transactions. At t…

q-fin.TR2021★ 3 cited

Cross-Impact of Order Flow Imbalance in Equity Markets

Rama Cont, Mihai Cucuringu, Chao Zhang

We investigate the impact of order flow imbalance (OFI) on price movements in equity markets in a multi-asset setting. First, we propose a systematic approach for combining OFIs at…

q-fin.TR2021

Fragmentation, Price Formation, and Cross-Impact in Bitcoin Markets

Jakob Albers, Mihai Cucuringu, Sam Howison +1

In light of micro-scale inefficiencies induced by the high degree of fragmentation of the Bitcoin trading landscape, we utilize a granular data set comprised of orderbook and trade…