Biography

Dr. Jiajing Sun
Associate Professor, CFA, FIMA
Email: jiajing@ucas.ac.cn
Address: No.3 Zhongguancun Nanyitiao, Haidian District, Beijing
Postal Code: 100190

Dr. Jiajing Sun is an Associate Professor in the Department of Statistics and Data Science at the School of Economics and Management, University of Chinese Academy of Sciences. She earned her Ph.D. in Management from the University of Liverpool in September 2011. Her expertise spans econometrics, including time series analysis, nonparametric statistics, and financial econometrics.

Dr. Sun has extensive experience in teaching and administrative management, receiving numerous teaching awards such as the Special Teaching Award for Young Teachers and the Excellent Graduate Course Award. Under her guidance, several students have achieved distinctions including "Triple Excellence Student," "Outstanding Communist Youth League Member," and "Outstanding Student Leader."

In administrative roles, Dr. Sun has demonstrated significant expertise. She previously served as the Deputy Director for International Relations, where she developed links with the Energy Studies Institute at the National University of Singapore, organized seminars, and hosted prominent academics. Since April 2022, she has been the Deputy Director of the Department of Statistics and Data Science and the Deputy Head of the research group. She oversees curriculum development and updates for the statistics and data science programs, ensuring they meet the latest academic and industrial standards. Additionally, she organized the Asian Summer School in Econometrics and Statistics in 2022 and 2023.

Dr. Sun's research has led to numerous publications in prestigious journals such as the Journal of Econometrics, Journal of Environmental Management, etc. She frequently presents her work at international conferences and has been the principal investigator for several National Natural Science Foundation grants, including a major project on adjusted-range based self-normalization. Additionally, she has contributed to industry projects in financial regulation, economic and digital technology talent development, and fintech research.

Research Areas

Econometrics, Statistics, and Economics.

Education

  • October 2007 - July 2011, Management School, University of Liverpool, PhD Management Studies (Econometrics). 

  • September 2004 - November 2005, College of Humanities and Social Science, University of Edinburgh, MSc in Economics.   

  • September 2001 - July 2004, Tianjin University of Finance and Economics, Bachelor's Economics (I finished four years undergraduate programme within three years).

Publications

Selected Journal Articles in English:

Cole, M., Sun, J., Jiang, W., & Zang, L. (2024). Governmental Capabilities and Responsiveness: Global Investigations into CO2 Emissions and Decarbonization. International Journal of Public Administration, 1-19. https://doi.org/10.1080/01900692.2024.2386271 

Hong, Y., Linton, O., McCabe, B., Sun, J., & Wang, S. (2024). Kolmogorov-Smirnov type testing for structural breaks: A new adjusted-range based self-normalization approach. Journal of Econometrics, 238(2), 105603. https://doi.org/10.1016/j.jeconom.2023.105603

Hong, Y., Linton, O., McCabe, B., & Sun, J. (2022). A score statistic for testing the presence of a stochastic trend in conditional variances. Economics Letters, 213, 110394. https://doi.org/10.1016/j.econlet.2022.110394

Sun, J., Hong, Y., Linton, O., & Zhao, X. (2022). Adjusted-range self-normalized confidence interval construction for censored dependent data. Economics Letters, 220, 110873. https://doi.org/10.1016/j.econlet.2022.110873

Jiang, W., Cole, M., Sun, J., & Wang, S. (2022). Innovation, carbon emissions and the pollution haven hypothesis: Climate capitalism and global reinterpretations. Journal of Environmental Management, 307, 114465. https://doi.org/10.1016/j.jenvman.2022.114465

Shao, C., Guan, X., Sun, J., Cole, M., & Liu, G. (2022). Social media interactions between government and the public: A Chinese case study of government WeChat official accounts on information related to COVID-19. Frontiers in Psychology, 13, 955376. https://doi.org/10.3389/fpsyg.2022.955376

Sun, J., Cole, M., Huang, Z., & Wang, S. (2019). Chinese leadership: Provincial perspectives on promotion and performance. Environment and Planning C: Politics and Space. https://doi.org/10.1177/2399654418791580

Cui, W., Cheng, H., & Sun, J. (2018). An RKHS-based approach to double-penalized regression in high-dimensional partially linear models. Journal of Multivariate Analysis. https://doi.org/10.1016/j.jmva.2018.07.013

Li, Z., Sun, J., & Wang, S. (2013). An information diffusion-based model of oil futures price. Energy Economics. https://doi.org/10.1016/j.eneco.2012.10.009

Sun, J., & McCabe, B. P. (2013). Score statistics for testing serial dependence in count data. Journal of Time Series Analysis. https://doi.org/10.1111/jtsa.12014

Sun, J., Chernick, M. R., & LaBudde, R. A. (2011). A bootstrap test for comparing two variances: Simulation of size and power in small samples. Journal of Biopharmaceutical Statisticshttps://10.1080/10543406.2011.611082


Comment on Published Work:

Hong, Y., Linton, O., Sun, J., & Zhu, M. (2023). Contribution to the Discussion of “the Discussion Meeting on Probabilistic and Statistical Aspects of Machine Learning.” Royal Statistical Society. Journal. Series B: Statistical Methodologyhttps://doi.org/10.1093/jrsssb/qkad152


Selected Journal Articles in Chinese:

Hong, Y., Sun, J., McCabe, B., & Wang, S. (2022). An adjusted-range based self-normalized statistic for testing structural breaks. Statistical Research, 39(4), 122-133. https://doi.org/10.19343/j.cnki.11–1302/c.2022.04.009

Sun, J., McCabe, B., Cui, W., & Li, G. (2020). Integer valued autoregressive process with Katz arrivals and its application in predicting the count of respiratory disease cases. Chinese Journal of Applied Probability and Statistics, 36(6), 551-568. http://lib.cqvip.com/Qikan/Article/Detail?id=7103807087  


Selected Book Chapters:

Li, Z., Sun, J., & Cole, M. (2015). Mechanisms and performance of Chinese bear markets and policy suggestions. In Li, Z., & Cheng, S. (Eds.), The Chinese Stock Market Volume II (pp. 125-189). Palgrave Macmillan, London, UK. Available at https://link.springer.com/chapter/10.1057/9781137464699_3

Li, Z., & Sun, J. (2015). Mechanisms and performance of Chinese bear markets and policy suggestions. In Li, Z., & Cheng, S. (Eds.), China's Stock Market Review and Outlook: 2002-2013. Science Press, Beijing, China.


Conferences

  • 75th European Meeting of the Econometric Society, August 29, 2024, Rotterdam, Netherlands, “Confidence interval construction based on the adjusted-range self-normalization approach,” session presentation.

  • 2024 Asian Meeting of the Econometric Society, June 28, 2024, Hangzhou, China, “Sequential change point detection for time series – an adjusted-range based approach,” session presentation.

  • Gregory C. Chow’s Young Scholar Forum, April 18, 2022, Beijing, China, “Kolmogorov-Smirnov type testing for structural breaks: A new adjusted-range based self-normalization approach,” invited speech.

  • CFE-CMStatistics, December 18-20, 2021, London, UK, “Confidence interval construction - a new self-normalization approach based on adjusted-range,” online presentation.

  • Tsinghua University Statistics and Data Science Young Scholar Forum, October 23-24, 2021, Beijing, China, “Confidence interval construction - a new self-normalization approach based on adjusted-range,” session presentation.

  • Australian Meeting of the Econometric Society, July 7-9, 2021, University of Melbourne, Melbourne, Australia, “Testing for structural breaks - a new self-normalization approach based on the adjusted sample range,” online presentation.

  • Thirteenth Annual SoFiE Conference (North America), June 15-17, 2021, Rady School of Management at the University of California, San Diego, USA, “A score statistic on testing the presence of stochastic trends in conditional variance,” online presentation.

  • 2021 North American Summer Meeting of the Econometric Society, June 13-19, 2021, Université du Québec à Montréal, Montreal, Canada, “Testing for structural breaks - a new self-normalization approach based on the adjusted sample range,” online presentation.

  • 13th International Conference of the ERCIM WG on Computational and Methodological Statistics - 14th International Conference on Computational and Financial Econometrics, December 19-21, 2021, London, UK, “Testing structural breaks - a new self-normalization approach based on the adjusted sample range,” online presentation.

  • Young Scholars Forum, April 23, 2021, School of Economics and Management, University of Chinese Academy of Sciences (UCAS), Beijing, China, “Kolmogorov-Smirnov type testing for structural breaks: A new adjusted-range based self-normalization approach,” session presentation.

  • The 4th China Econometricians Forum, December 19-20, 2020, Shanghai Academy of Social Sciences, Shanghai, China, “Testing structural breaks - a new self-normalization approach based on the adjusted sample range,” session presentation.

  • 12th Econometric Society World Congress, August 17-21, 2020, Milan, Italy, “Model averaging of integer-valued autoregressive model with covariates,” online presentation.

  • 2019 Asian Meeting of the Econometric Society, June 14-16, 2019, Xiamen University, China, “Model averaging of integer-valued autoregressive model with covariates,” session presentation.

  • CES (China Economic Society), June 8-9, 2019, annual conference, Dongbei University of Finance and Economics, Dalian, China, “The subjective well-being of internal migrants: lessons from China,” session presentation.

  • 9th ERCIM WG on Computational and Methodological Statistics; 10th International Conference on Computational and Financial Econometrics, December 9, 2016, University of Seville, Spain, “RKHS-based approach to SCAD-penalized regression in high-dimensional partially linear models,” session presentation.

  • IEEE Symposium on Analytics and Risk, August 14, 2015, University of Chinese Academy of Sciences, Beijing, China, “Commodity shocks and the macroeconomy,” session presentation.


Student Supervision

Students Previously Advised:

  • Cao Songfei - Master's Student in Business Administration. Founded Shanxi Yimiao Supply Chain Management Co., Ltd. after graduation.
  • Li Jiamin - Master's Student in Management Science and Engineering. Currently pursuing a doctoral degree at Renmin University of China due to her outstanding academic performance.
  • Wu Junda - Master's Student in Finance. Received honors such as Excellent League Member and Outstanding Student. 
  • Cao Zhong - Master's Student in Business Administration 
  • Liu Xin - Master's Student in Finance 
  • Wang Weiguang - Master's Student in Finance 
  • Shi Can - Master's Student in Business Administration 
  • Xu Yang - Master's Student in Quantitative Economics. Former president of the College's Student Union, honored as an Outstanding Student, Excellent Student Leader, and part of the Excellent League Member. 
  • Yu Gaoqi - Master's Student in Business Administration 
  • Wang Lei - Master's Student in Business Administration 

Current Students Advised:

  • Zhang Zijing - Master's Student in Quantitative Economics. Honors include Outstanding Student and deputy class leader, and received the First Prize in the 2023 Science and Fantasy Competition.
  • Han Yupei - Master's Student in Quantitative Economics 
  • Xu Xinyi - Master's Student in Finance 
  • Zhang Xi - Master's Student in Finance 

Jointly Supervised Master's Students (with Prof. Yongmiao Hong):

  • Li Yitong - Awarded honors for Excellent Student, Excellent Communist Youth League Member.
  • Cheng Zhanbo - Awarded honors for Excellent Student.
  • Zhang Zhenwei - Awarded honors for Excellent Student.

Jointly Supervised PhD Students (with Prof. Yongmiao Hong):

  • Lin Zhuo - Received the Hua Luogeng Scholarship from the Academy of Mathematics and Systems Science. 
  • Zhu Meiting (currently studying at Xiamen University) - Received first prize at the 5th Tianjin University Doctoral Academic Forum. 

Honors & Distinctions

  • The course "Financial Statistics and Econometrics" won the Young Teacher Teaching Special Award from the School of Management for the 2017-18 academic year and the Excellent Postgraduate Course Award in 2019.
  • The course "Financial Data Modeling and Analysis" received the Excellent Postgraduate Course Award for the year 2022.
  • In May 2023, Dr. Jiajing Sun was awarded the Third Prize in the Young Teacher's Basic Teaching Skills Competition.

Research Grants

  • "Adjusted Range-Based Self-normalization in Time Series Analysis", Principal Investigator, NSFC Project, January 2022 - December 2025.
  • "Economic Theories and Empirical Research on Employment, Subjective Well-being, Public Service Satisfaction, and Labor Market Efficiency in Major Chinese Cities", Principal Investigator, Chinese Academy of Sciences Program, January 2019 - December 2020.
  • "Sparse Parameter Models in Big Data", Principal Investigator, Chinese Academy of Sciences Program, September 2015 - December 2017.
  • "Spatial Integer-Valued Autoregressive Moving Average Models and Their Application in Socio-Economic Analysis", Principal Investigator, NSFC Project, January 2015 - December 2017.
  • "Basic Research on Financial Futures Market Monitoring and Early Warning from the Perspective of Major Asset Classes", Participant, Domestic Commissioned Project, January 2018 - December 2018.
  • "Investor Sentiment and Stock Market Policy Failure: Analysis and Empirical Evidence Based on Internet Big Data", Participant, NSFC Project, January 2017 - December 2020.
  • "Nonlinear Mixed Frequency Data Models and Their Application in Economics", Participant, Ministry of Education, January 2015 - December 2017.
  • "Risk Assessment and Optimization of Emergency Material Distribution Systems Under Sudden Natural Disasters", Participant, NSFC Project, January 2015 - December 2017.