Publications

Title Yearsort ascending
Deep reinforcement learning for portfolio selection 2024
Measuring and testing systemic risk from the cross section of stock returns 2024
Dynamic robust portfolio selection under market distress 2024
Estimation error in optimal portfolio allocation problems. 2023
Portfolio Selection Under Systemic Risk 2023
A nonparametric spatial regression model using partitioning estimators 2023
Joint Elicitation of Elasticity of Intertemporal Substitution, Risk and Time Preferences 2023
A nonparametric predictive regression model using partitioning estimators based on Taylor expansions. 2023
Optimal deep neural networks by maximization of the approximation power 2023
Functional coefficient quantile regression model with time-varying loadings. 2023
Experiments on Portfolio Selection: A comparison between quantile preferences and expected utility decision models. 2022
Optimal Characteristic Portfolios 2022
Hedging demand in long-term currency carry trade asset allocation problems. 2022
Environmental Engel Curves: a neural network approach 2022
Portfolio Selection in Quantile Utility Models 2022
Granger causality detection in high-dimensional systems using feedforward neural networks. 2021
Volatility spillover between economic sectors in financial crisis prediction: Evidence spanning the great financial crisis and Covid-19 pandemic. 2021
Analysis of Bitcoin prices using market and sentiment variables. 2021
Optimal portfolio allocation using option implied information. 2021
Modeling the spread of COVID-19 in New York City 2021

Pages