University of Reading cookie policy

We use cookies on reading.ac.uk to improve your experience, monitor site performance and tailor content to you

Read our cookie policy to find out how to manage your cookie settings

Shixuan Wang

Dr Shixuan Wang
  • Co-Research Division Leader
  • Associate Editor, International Journal of Finance & Economics

Areas of interest

  • Change-Point (Structural Break) Detection
  • Functional Data Analysis
  • Statistical Forecasting
  • Risk Management
  • Explainable AI and Machine Learning
  • Healthcare Analytics

Postgraduate supervision

I welcome PhD applications in the area of functional data analysis in finance. Further details can be found on FindAPhD.

My former PhD students (and their current positions) includes:

  • Wei-Fong Pan (Assistant Professor at Sun Yat-Sen University)
  • Xiaohan Xue (Assistant Professor at the University of Bath)
  • Jingqi Pan (QIS Structurer at Société Générale)
  • Michael Kunkler (Quantitative Analyst at NatWest)

 

Background

I am a Full Professor of Economics at the University of Reading, having initially worked as a Lecturer and subsequently an Associate Professor. Before joining Reading in 2018, I was a postdoctoral researcher in statistical forecasting at Cardiff University. I received my PhD degree from the University of Birmingham in 2017 and was awarded a Royal Economic Society (RES) Junior Fellowship in 2016. 

My primary research focuses on econometric methods for change-point detection and functional data analysis, and their interactions with statistical forecasting. I also have an active research interest in using explainable AI and machine learning for healthcare analytics and operations management. My work has been published in leading journals including Annals of Statistics, Journal of Econometrics, Econometric Theory, and Journal of Business & Economic Statistics.

In addition to my research, I am actively engaged in academic leadership and external collaboration. I currently serve as an Associate Editor of International Journal of Finance & Economics (ABS 3), organise a research grant of Forecasting for Social Good (F4SG), and coordinate a research cluster of Econometrics with Data Science (EwDS). I have collaborated with external partners including BT and the NHS; notably, the AI solution developed for BT was named a finalist at The National AI Awards in 2024.

Academic qualifications

I hold a PhD in Economics, a MSc (distinction) in Money, Banking and Finance, a BSc in Economics, and a BEng in Electrical Engineering and Automation. I am also a Fellow of the Higher Education Academy.

Websites/blogs

Selected publications

  1. Horváth, L. and Wang, S. (2025) Detecting changes in GARCH(1,1) processes without assuming stationarity. Econometric Theory.
  2. Horváth, L., Lazar, E., Liu, Z., Wang, S., Xue, X. (2025) Sequential monitoring for changes in dynamic semiparametric risk models. Journal of Business & Economic Statistics.
  3. Lazar, E., Wang, S, Xue, X. (2023) Loss function-based change point detection in risk measures. European Journal of Operational Research, 310 (1). pp. 415-431.
  4. Horváth, L., Liu, Z., Rice, G., Wang, S., Zhan, Y. (2023) Testing stability in functional event observations with an application to IPO performance. Journal of Business and Economic Statistics, 41 (4). pp. 1262-1273.
  5. Wang, S., Syntetos, A., Liu, Y., Di Cairano-Gilfedder, C., Naim, M. (2023) Improving automotive garage operations by categorical forecasts using a large number of variables. European Journal of Operational Research, 306 (2). pp. 893-908.
  6. Horváth, L., Kokoszka, P., Wang, S. (2021) Monitoring for a change point in a sequence of distributions. Annals of Statistics, 49 (4). pp. 2271-2291.
  7. Horváth, L., Liu, Z., Rice, G., Wang, S. (2020) Sequential monitoring for changes from stationarity to mild non-stationarity. Journal of Econometrics, 215 (1). pp. 209-238.

Publications

Loading your publications ...