activity
19962026
most citedA tool for filtering information in complex systems

922 citations · 4.9k across the 110 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

q-fin.TR2021

Self-organised criticality in high frequency finance: the case of flash crashes

Jeremy D. Turiel, Tomaso Aste

With the rise of computing and artificial intelligence, advanced modeling and forecasting has been applied to High Frequency markets. A crucial element of solid production modeling…

q-fin.TR2021★ 8 cited

Heterogenous criticality in high frequency finance: a phase transition in flash crashes

Jeremy Turiel, Tomaso Aste

Flash crashes in financial markets have become increasingly important attracting attention from financial regulators, market makers as well as from the media and the broader audien…

q-fin.RM2021

An Information Filtering approach to stress testing: an application to FTSE markets

Isobel Seabrook, Fabio Caccioli, Tomaso Aste

We present a novel methodology to quantify the "impact" of and "response" to market shocks. We apply shocks to a group of stocks in a part of the market, and we quantify the effect…

q-fin.ST2021

Portfolio Optimization with Sparse Multivariate Modelling

Pier Francesco Procacci, Tomaso Aste

Portfolio optimization approaches inevitably rely on multivariate modeling of markets and the economy. In this paper, we address three sources of error related to the modeling of t…

cs.LG2021★ 6 cited

Deep Reinforcement Learning for Active High Frequency Trading

Antonio Briola, Jeremy Turiel, Riccardo Marcaccioli +2

We introduce the first end-to-end Deep Reinforcement Learning (DRL) based framework for active high frequency trading in the stock market. We train DRL agents to trade one unit of…