Jiao Ji is a Lecturer (Assistant Professor) in Finance in the division of Accounting and Financial Management at Sheffield University Management School. She holds a BSc. in Accounting (CPA) from Southwestern University of Finance and Economics, a MSc. in Economics and Finance from Durham University, and a Ph.D. in Finance and Accounting from University of Sheffield.
Jiao leads MGT6096 Quantitative Methods for Accounting and Finance. This module provides an understanding of the main mathematical, statistical and econometric techniques that underpin Finance and Accounting research and their application in practice. Students will develop numerical and problem-solving skills, including an introduction to econometrics, i.e. model-based measurement using the theory and techniques of statistical inference.
She also teaches on the following modules in Accounting and Finance:
Undergraduate: MGT251 Quantitative Methods for Accounting and Finance; MGT3007 Emerging Market Finance
Postgraduate: MGT6171 Research Methods for Finance & Accounting; MGT6091 Issues in Finance
Board of directors, Female on the top, Corporate governance, Managerial behaviour, Corporate social responsibility, Corporate innovation, Textual analysis in Finance Corporate risk, Big data analysis
Jiao welcomes PhD applications in the areas of her research interests.
Ji J;, Talavera O; and Yin S. (2019). Frequencies of board meetings on various topics and corporate governance: evidence from China. Review of Quantitative Finance and Accounting,
Haslam, J;, Ji, J; and Sun, H. (2018). Towards a well-functioning stock market in context: Critically appreciating issues in interpreting efficient markets research and its regulatory implications. Journal of Capital Markets Studies, 2(1) 1-17.
Ji, J;, Talavera, O; and Yin, S. (2018) The Hidden Information Content: evidence from the tone of independent director reports FMA 2018, FMA Europe 2018; EFMA 2018
Ji, J;, Talavera, O; and Yin, S. (2017) Auditor Selection and the reputation of Chairman and Audit Committee, IFABS China, 2017