activity
20182024
most citedForeign Exchange Markets with Last Look

13 citations · 16 across the 8 of their papers we have counts for

collaborators

12 papers

q-fin.TR2024

Nash Equilibrium between Brokers and Traders

Álvaro Cartea, Sebastian Jaimungal, Leandro Sánchez-Betancourt

We study the perfect information Nash equilibrium between a broker and her clients -- an informed trader and an uniformed trader. In our model, the broker trades in the lit exchang…

q-fin.MF2023★ 1 cited

Decentralised Finance and Automated Market Making: Predictable Loss and Optimal Liquidity Provision

Álvaro Cartea, Fayçal Drissi, Marcello Monga

Constant product markets with concentrated liquidity (CL) are the most popular type of automated market makers. In this paper, we characterise the continuous-time wealth dynamics o…

q-fin.TR2023

Decentralised Finance and Automated Market Making: Execution and Speculation

Álvaro Cartea, Fayçal Drissi, Marcello Monga

Automated market makers (AMMs) are a new prototype of decentralised exchanges which are revolutionising market interactions. The majority of AMMs are constant product markets (CPMs…

q-fin.ST2023

Deep Attentive Survival Analysis in Limit Order Books: Estimating Fill Probabilities with Convolutional-Transformers

Alvaro Arroyo, Alvaro Cartea, Fernando Moreno-Pino +1

One of the key decisions in execution strategies is the choice between a passive (liquidity providing) or an aggressive (liquidity taking) order to execute a trade in a limit order…

q-fin.TR2023

Optimal execution and speculation with trade signals

Peter Bank, Álvaro Cartea, Laura Körber

We propose a price impact model where changes in prices are purely driven by the order flow in the market. The stochastic price impact of market orders and the arrival rates of lim…

cs.LG2022★ 2 cited

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Anthony Coache, Sebastian Jaimungal, Álvaro Cartea

We propose a novel framework to solve risk-sensitive reinforcement learning (RL) problems where the agent optimises time-consistent dynamic spectral risk measures. Based on the not…