activity
20192026
most citedProbabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.TR2026

Robustness in Sequential Decision Making under Evolving Uncertainty: Evidence from High-Frequency Market Making

Ying Chen, Hoa Nguyen, Julian Sester +2

We study sequential decision making under evolving uncertainty in high-frequency financial markets, where changing market dynamics continually challenge static decision policies. W…

cs.LG2021★ 1 cited

Deep Switching State Space Model (DSM) for Nonlinear Time Series Forecasting with Regime Switching

Xiuqin Xu, Hanqiu Peng, Ying Chen

Modern time series data often display complex nonlinear dependencies along with irregular regime-switching behaviors. These features present technical challenges in modeling, infer…

cs.LG2021

Deep Stochastic Volatility Model

Xiuqin Xu, Ying Chen

Volatility for financial assets returns can be used to gauge the risk for financial market. We propose a deep stochastic volatility model (DSVM) based on the framework of deep late…

stat.ME2020★ 4 cited

Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression

Xiuqin Xu, Ying Chen, Yannig Goude +1

Probabilistic forecasting of electricity load curves is of fundamental importance for effective scheduling and decision making in the increasingly volatile and competitive energy m…

q-fin.MF2019★ 2 cited

Portfolio liquidation under transient price impact -- theoretical solution and implementation with 100 NASDAQ stocks

Ying Chen, Ulrich Horst, Hoang Hai Tran

We derive an explicit solution for deterministic market impact parameters in the Graewe and Horst (2017) portfolio liquidation model. The model allows to combine various forms of m…