activity
20192026
collaborators

9 papers

q-fin.TR2026

Agentic Limit Order Books: Phase Transitions and Market Impact

Jan Rosenzweig

We investigate the systemic macroscopic dynamics emerging from Limit Order Books (LOBs) populated exclusively by autonomous reinforcement-learning agentic traders. By formalizing a…

q-fin.PM2026

Fast Times, Slow Times: Timescale Separation in Financial Timeseries Data

Jan Rosenzweig

Financial time series exhibit multiscale behavior, with interaction between multiple processes operating on different timescales. This paper introduces a method for separating thes…

q-fin.PM2023

A Tale of Tail Covariances (and Diversified Tails)

Jan Rosenzweig

This paper deals with tail diversification in financial time series through the concept of statistical independence by way of differential entropy and mutual information. By using…

q-fin.PM2022

Fat Tails and Optimal Liability Driven Portfolios

Jan Rosenzweig

We look at optimal liability-driven portfolios in a family of fat-tailed and extremal risk measures, especially in the context of pension fund and insurance fixed cashflow liabilit…

cs.LG2021

When saliency goes off on a tangent: Interpreting Deep Neural Networks with nonlinear saliency maps

Jan Rosenzweig, Zoran Cvetkovic, Ivana Rosenzweig

A fundamental bottleneck in utilising complex machine learning systems for critical applications has been not knowing why they do and what they do, thus preventing the development…

q-fin.PM2021

Power-law Portfolios

Jan Rosenzweig

Portfolio optimization methods suffer from a catalogue of known problems, mainly due to the facts that pair correlations of asset returns are unstable, and that extremal risk measu…

q-fin.PM2020

Fat Tailed Factors

Jan Rosenzweig

Standard, PCA-based factor analysis suffers from a number of well known problems due to the random nature of pairwise correlations of asset returns. We analyse an alternative based…

cs.LG2020

Goldilocks Neural Networks

Jan Rosenzweig, Zoran Cvetkovic, Ivana Rosenzweig

We introduce the new "Goldilocks" class of activation functions, which non-linearly deform the input signal only locally when the input signal is in the appropriate range. The smal…

q-fin.TR2019

Conservation Laws in a Limit Order Book

Jan Rosenzweig

We present a class of macroscopic models of the Limit Order Book to simulate the aggregate behaviour of market makers in response to trading flows. The resulting models are solved…