activity
20132022
most citedMachine Learning Optimization Algorithms & Portfolio Allocation

7 citations · 19 across the 10 of their papers we have counts for

collaborators

13 papers

q-fin.PM2022★ 1 cited

Risk Parity Portfolios with Skewness Risk: An Application to Factor Investing and Alternative Risk Premia

Benjamin Bruder, Nazar Kostyuchyk, Thierry Roncalli

This article develops a model that takes into account skewness risk in risk parity portfolios. In this framework, asset returns are viewed as stochastic processes with jumps or ran…

q-fin.RM2021

Liquidity Stress Testing in Asset Management -- Part 3. Managing the Asset-Liability Liquidity Risk

Thierry Roncalli

This article is part of a comprehensive research project on liquidity risk in asset management, which can be divided into three dimensions. The first dimension covers the modeling…

q-fin.RM2021

Liquidity Stress Testing in Asset Management -- Part 2. Modeling the Asset Liquidity Risk

Thierry Roncalli, Amina Cherief, Fatma Karray-Meziou +1

This article is part of a comprehensive research project on liquidity risk in asset management, which can be divided into three dimensions. The first dimension covers liability liq…

q-fin.PM2021★ 5 cited

The Market Measure of Carbon Risk and its Impact on the Minimum Variance Portfolio

Théo Roncalli, Théo Le Guenedal, Frédéric Lepetit +2

Like ESG investing, climate change is an important concern for asset managers and owners, and a new challenge for portfolio construction. Until now, investors have mainly measured…

q-fin.RM2021

Liquidity Stress Testing in Asset Management -- Part 1. Modeling the Liability Liquidity Risk

Thierry Roncalli, Fatma Karray-Meziou, François Pan +1

This article is part of a comprehensive research project on liquidity risk in asset management, which can be divided into three dimensions. The first dimension covers liability liq…

cs.LG2020★ 1 cited

Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks

Edmond Lezmi, Jules Roche, Thierry Roncalli +1

This article explores the use of machine learning models to build a market generator. The underlying idea is to simulate artificial multi-dimensional financial time series, whose s…