Shen Jiancheng
Title: Professor
Office:HongYuan Building, LiuLin Campus, SWUFE
Shen Jiancheng has experience teaching finance, economics, and international business courses in English at Taylor University, Regent University, and Old Dominion University in the United States. He is familiar with both classroom and online teaching formats
His main research focuses on behavioral quantitative finance, theoretical asset pricing, financial technology, and neuroeconomics experiments. Based on these directions, he primarily investigates the impact and mechanisms of investor psychology on the risk and return of financial assets and markets from both empirical and theoretical perspectives. Simultaneously, he now also utilizes neurophysiological analysis tools to study the micro-level mechanisms of pricing anomalies caused by investor behavior
In recent years, he has published over 20 papers in high-level international journals, which have been cited more than 1,200 times. These publications include journals such as the Journal of Banking and Finance, Journal of Financial Research, Journal of Futures Market, Information and Management, and Industrial Marketing Management. Additionally, he has previously hosted and completed interdisciplinary projects including the "FinTech-Data Science-Neuroscience" interdisciplinary team at Soochow University, the "Interdisciplinary Neuroscience Laboratory" project at Taylor University, and the "Global Media and International Financial Markets: A High-Frequency Perspective" project at Regent University
Research Interests
Behavioral Quantitative Finance, Financial Technology (FinTech), Theoretical Asset Pricing, Neuroeconomics Experiments
Education
Ph.D. in Finance, Old Dominion University, USA, May 2016
Teaching Experience
Tenure-track Faculty, Regent University and Taylor University, USA, 2016–2020
Visiting Professor, University of Zurich, Switzerland, 2022–2023
Specially Appointed Professor, Soochow University, 2023–2024
Professor, China Behavioral Economics and Finance Research Center, Southwestern University of Finance and Economics, 2025–Present
Selected Publications
He, W., Wu, H., Yan, G., Akula, V., & Shen, J. (2015). A novel social media competitive analytics framework with sentiment benchmarks. Information & Management, 52(7), 801-812.
Sun, L., Najand, M., & Shen, J. (2016). Stock return predictability and investor sentiment: A high-frequency perspective. Journal of banking & finance, 73, 147-164.
He, W., Shen, J., Tian, X., Li, Y., Akula, V., Yan, G., & Tao, R. (2015). Gaining competitive intelligence from social media data: Evidence from two largest retail chains in the world. Industrial management & data systems, 115(9), 1622-1636.
Griffith, J., Najand, M., & Shen, J. (2020). Emotions in the stock market. Journal of Behavioral Finance, 21(1), 42-56.
Hung, J. L., He, W., & Shen, J. (2020). Big data analytics for supply chain relationship in banking. Industrial Marketing Management, 86, 144-153.
Yan, G., He, W., Shen, J., & Tang, C. (2014). A bilingual approach for conducting Chinese and English social media sentiment analysis. Computer Networks, 75, 491-503.
He, W., Guo, L., Shen, J., & Akula, V. (2016). Social media-based forecasting: A case study of tweets and stock prices in the financial services industry. Journal of Organizational and End User Computing (JOEUC), 28(2), 74-91.
Shen, J., Najand, M., Dong, F., & He, W. (2017). News and social media emotions in the commodity market. Review of Behavioral Finance, 9(2), 148-168.
Price, S. M., Seiler, M. J., & Shen, J. (2017). Do investors infer vocal cues from CEOs during quarterly REIT conference calls?. The Journal of Real Estate Finance and Economics, 54(4), 515-557.
Shen, J., Griffith, J., Najand, M., & Sun, L. (2023). Predicting stock and bond market returns with emotions: Evidence from futures markets. Journal of Behavioral Finance, 24(3), 333-344.
Shen, J., Li, Y., Akula, V., Yan, G., & Tao, R. (2015). Gaining competitive intelligence from social media data. Industrial Management & Data Systems, 115(9), 1622-1636.
Shen, J., Najand, M., & Chen, C. (2024). The Influence of Emotions on Cross-Section Returns: Tests for Cognitive Appraisal Theory. Journal of Behavioral Finance, 25(4), 420-435.
Research Projects
Soochow University "FinTech-Data Science-Neuroscience" Interdisciplinary Team Project
Taylor University (U.S.) "Interdisciplinary Neuroscience Laboratory" Project
Regent University "Global Media and International Financial Markets: A High-Frequency Perspective" Project
