Sebastian Jaimungal

Orcid: 0000-0002-0193-0993

According to our database1, Sebastian Jaimungal authored at least 32 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Exploratory Control with Tsallis Entropy for Latent Factor Models.
SIAM J. Financial Math., March, 2024

2023
Portfolio Optimization within a Wasserstein Ball.
SIAM J. Financial Math., December, 2023

Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders.
SIAM J. Financial Math., December, 2023

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning.
SIAM J. Financial Math., December, 2023

Eliciting Risk Aversion with Inverse Reinforcement Learning via Interactive Questioning.
CoRR, 2023

Robust Risk-Aware Option Hedging.
CoRR, 2023

FuNVol: A Multi-Asset Implied Volatility Market Simulator using Functional Principal Components and Neural SDEs.
CoRR, 2023

Distributional Method for Risk Averse Reinforcement Learning.
CoRR, 2023

2022
Optimal Trading with Signals and Stochastic Price Impact.
SIAM J. Financial Math., September, 2022

Robust Risk-Aware Reinforcement Learning.
SIAM J. Financial Math., 2022

Exploratory LQG mean field games with entropy regularization.
Autom., 2022

2021
Reinforcement Learning with Dynamic Convex Risk Measures.
CoRR, 2021

Deep Learning for Principal-Agent Mean Field Games.
CoRR, 2021

2020
Mixing LSMC and PDE Methods to Price Bermudan Options.
SIAM J. Financial Math., 2020

Trading Foreign Exchange Triplets.
SIAM J. Financial Math., 2020

Convex analysis for LQG systems with applications to major-minor LQG mean-field game systems.
Syst. Control. Lett., 2020

A Mean-Field Game Approach to Equilibrium Pricing, Optimal Generation, and Trading in Solar Renewable Energy Certificate (SREC) Markets.
CoRR, 2020

2019
Hedge and Speculate: Replicating Option Payoffs with Limit and Market Orders.
SIAM J. Financial Math., 2019

Deep Q-Learning for Nash Equilibria: Nash-DQN.
CoRR, 2019

2018
Algorithmic Trading, Stochastic Control, and Mutually Exciting Processes.
SIAM Rev., 2018

Double Deep Q-Learning for Optimal Execution.
CoRR, 2018

Mean Field Game Systems with Common Noise and Markovian Latent Processes.
CoRR, 2018

Mean Field Game Systems with Common and Latent Processes.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Algorithmic Trading with Model Uncertainty.
SIAM J. Financial Math., 2017

Using managerial revenue and cost estimates to value early stage real option investments.
Ann. Oper. Res., 2017

2016
Model Uncertainty in Commodity Markets.
SIAM J. Financial Math., 2016

A Closed-Form Execution Strategy to Target Volume Weighted Average Price.
SIAM J. Financial Math., 2016

2014
Buy Low, Sell High: A High Frequency Trading Perspective.
SIAM J. Financial Math., 2014

2011
Lévy-Based Cross-Commodity Models and Derivative Valuation.
SIAM J. Financial Math., 2011

Spectral Decomposition of Option Prices in Fast Mean-Reverting Stochastic Volatility Models.
SIAM J. Financial Math., 2011

2009
Kernel-Based Copula Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2007
Option Valuation using Fourier Space Time Stepping
CoRR, 2007


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