Conference
The Conference takes place at Shanghai Jiao Tong University, Xuhui campus:
- Place: Xuhui Campus, Engineering Building (工程馆)
- Room: Room 102
| Time | Speaker | Title |
|---|---|---|
| 09:00–09:40 | Damir Filipović | TBA |
| 09:40–10:20 | Huyên Pham | TBA |
| 10:20–10:40 | Coffee Break | |
| 10:40–11:20 | Peter Bank | TBA |
| 11:20–12:00 | Stéphane Crépey | Comparison of Tax and Cap-and-Trade Carbon Pricing Schemes |
| 12:00–13:40 | Lunch | |
| 13:40–14:20 | Zengjing Chen | TBA |
| 14:20–15:00 | Ping Li | A Mean Field Game Approach to Equilibrium Pricing and Hedging Effect of Climate Derivatives |
| 15:00–15:40 | Alexander Schied | Exploring Roughness in Stochastic Processes: From Weierstrass Bridges to Volatility Estimation |
| 15:40–16:00 | Coffee Break | |
| 16:00–16:40 | Xuefeng Gao | Generating solution paths of Markovian stochastic differential equations using diffusion models |
| 16:40–17:20 | Lingfei Li | Deep learning of derivatives pricing functions in jump-diffusion models |
| 17:20–18:00 | Harry Zheng | Reinforcement Learning for Speculative Trading under Exploratory Framework |
| 18:30 | Conference Dinner |
| Time | Speaker | Title |
|---|---|---|
| 09:00–09:40 | Shi Jin | TBA |
| 09:40–10:20 | Mathieu Rosenbaum | A unified theory of order flow, market impact, and volatility |
| 10:20–10:40 | Coffee Break | |
| 10:40–11:20 | Sebastian Jaimungal | Deep Learning and Elicitability for McKean-Vlasov FBSDEs with common noise |
| 11:20–12:00 | Hans Buehler | TBA |
| 12:00–13:40 | Lunch | |
| 13:40–14:20 | Chenghu Ma | Disentangling the quantitative measure of risk and uncertainty |
| 14:20–15:00 | Christoph Czichowsky | TBA |
| 15:00–15:40 | Na Li (Dalian) | Linear-Quadratic Stochastic Stackelberg Games of N Players for Time-Delay Systems and Related FBSDEs |
| 15:40–16:00 | Coffee Break | |
| 16:00–18:30 | Parallel Sessions |
Parallel Sessions — Tue 21
| Time | Room 102 | Room 103 |
|---|---|---|
| 16:00–16:30 | Emma Hubert — Revisiting contract theory with volatility control | Youssef Ouazzani Chahdi — Trading with market resistance and concave price impact |
| 16:30–17:00 | Hélène Halconruy — Local transfer learning for nonparametric regression | Xiaozhen Wang — Entropic Optimal Transport Problem with Convex Functional Cost |
| 17:00–17:30 | Xin Zhang — Optimization of win martingales | Yupeng Bai — Self-fictitious-play for Potential Monotone Ergodic Mean-field Games |
| 17:30–18:00 | Xiaofei Shi — A Dynamic Equilibrium Model of Liquidity Risk | Antoine Debouchage — Transfer learning of entropic optimal transport |
| 18:00–18:30 | Kyunghyun Park — Robust Q-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty | Yuchao Dong — A Two-fold Randomization Framework for Impulse Control Problems |
| Time | Speaker | Title |
|---|---|---|
| 09:00–09:40 | Joseph Teichman | TBA |
| 09:40–10:20 | Peter Friz | TBA |
| 10:20–10:40 | Coffee Break | |
| 10:40–11:20 | Xianhua Peng | A Risk Sensitive Contract-unified Reinforcement Learning Approach for Option Hedging |
| 11:20–12:00 | Yufeng Shi | BSDE Deep learning approaches for option pricing |
| 12:00–12:40 | Dirk Becherer | Limiting Mean-Field Games and Structural Decomposition of Equilibria for Portfolio Games of Optimal Hedging |
| 12:40 | Free Afternoon |
| Time | Speaker | Title |
|---|---|---|
| 09:00–09:40 | Juan Li | Controllability Concepts for Mean-Field Dynamics With Reduced-Rank Coefficients |
| 09:40–10:20 | Jingtang Ma | Optimal Investment Under Non-Markovian Models via BSPDEs and Deep Learning |
| 10:20–10:40 | Coffee Break | |
| 10:40–11:20 | Nan Chen | Optimal Bonding Function for Decentralized Exchange Design: A Convex Analysis Approach |
| 11:20–12:00 | Hoi Ying Wong | Duality and DeepMartingale for High-Dimensional Optimal Switching |
| 12:00–13:40 | Lunch | |
| 13:40–14:20 | Nan Li (SJTU) | The Training Set Delusion: Machine Learning Overfitting in Bitcoin Return and Volatility Prediction |
| 14:20–15:00 | Zuoquan Xu | Learning to optimally stop diffusion processes, with financial applications |
| 15:00–15:40 | Ariel Neufeld | Deep Learning algorithm for solving high-dimensional nonlinear PIDEs in finance |
| 15:40–16:00 | Coffee Break | |
| 16:00–18:30 | Parallel Sessions |
Parallel Sessions — Thu 23
| Time | Room 102 | Room 111 |
|---|---|---|
| 16:00–16:30 | Zhenjie Ren — Specific Entropic Martingale Optimal Transport | Zhenhua Wang — Existence of Equilibrium for Time-Inconsistent Control Problems by Vanishing Entropy Regularization |
| 16:30–17:00 | Jiacheng Zhang — Major-Minor Mean Field Game of Stopping: An Entropy Regularization Approach | Mehdi Talbi — Deep Learning for the Multiple Optimal Stopping Problem |
| 17:00–17:30 | Wenjing Cao — Quantitative weak propagation of chaos for McKean–Vlasov branching diffusion processes | Yuchen Sun — Feynman-Kac for Singular HJB-PDE and FBSDE with Application to KPZ |
| 17:30–18:00 | Shuoqing Deng — Distribution constrained optimal stopping: beyond the Root-type solution | Julien Claisse — TBA |
| 18:00–18:30 | Gu Wang — Continuous Policy and Value Iteration for Stochastic Control Problem and Its Convergence | Marko Weber — Incomplete Market Equilibrium under Social Comparisons |
| Time | Speaker | Title |
|---|---|---|
| 09:00–09:40 | Min Dai | Connecting Singular Control and Optimal Stopping in Multi-Asset Portfolio Selection with Transaction Costs |
| 09:40–10:20 | Álvaro Cartea | TBA |
| 10:20–10:40 | Coffee Break | |
| 10:40–11:20 | Paolo Guasoni | A Variational Approach to Portfolio Choice |
| 11:20–12:00 | Tianyi Wang | Regime switching, time-varying volatility, and discrete-time option pricing |
| 12:00–13:40 | Lunch | |
| 13:40–14:20 | Tianyang Nie | TBA |
| 14:20–15:00 | Xiaolu Tan | On the regularity of solutions to a class of path-dependent HJB equations |
| 15:00–15:40 | Ruimeng Hu | Learning Mean Field Games via Mean Field Actor Critic Flow |
| 15:40–16:00 | Coffee Break | |
| 16:00–16:40 | Chen Yang | Arbitrage on Decentralized Exchanges |
| 16:40–17:20 | Ruixun Zhang | DORADO: Dynamic Optimization of R&D Options |
| 17:20–18:00 | Christian Bayer | Global and local regression: a signature approach with applications |