Dr Wesley Deng

Dr Wesley Deng


Ph.D. in Finance, University of Memphis


Business School
School of Banking and Finance

Personal website: https://www.wesleydeng.net/

Wesley (Xiaohu) is an Assistant Professor of Finance (Lecturer in Australia) at UNSW Sydney. His primary research areas include empirical corporate finance and asset pricing with specializations in the real effects of financial market frictions on corporate finance. He is also conducting research in other areas such as political issues and finance, labor market issues and finance, Fintech and machine learning, the impact of gender diversity, and the impact of climate risk on corporate finance outcomes. He has published at leading academic journals such as Journal of Financial and Quantitative Analysis and Journal of Corporate Finance. His research has made significant social impact. Some of his research findings have been featured in several major academic forums, news media, and think tanks such as Harvard Business Review, the CATO Institute, Oxford Business Law Blog, Duke FinReg Blog, and among others. 



UNSW Business School (E12), West Wing, Rm. 311
  • Journal articles | 2022
    Deng X; Gupta VK; Lipson ML; Mortal S; Deng W, 2022, 'Short-Sale Constraints and Corporate Investment', Journal of Financial and Quantitative Analysis, 58, pp. 1 - 33, http://dx.doi.org/10.1017/s0022109022000849
    Journal articles | 2021
    Deng X; Jiang C; Young D, 2021, 'Short selling constraints and politically motivated negative information suppression', JOURNAL OF CORPORATE FINANCE, 68, http://dx.doi.org/10.1016/j.jcorpfin.2021.101943
    Journal articles | 2020
    Deng X; Gao L; Kim JB, 2020, 'Short-sale constraints and stock price crash risk: Causal evidence from a natural experiment', Journal of Corporate Finance, 60, http://dx.doi.org/10.1016/j.jcorpfin.2019.101498
    Journal articles | 2018
    Deng X; Gao L, 2018, 'The monitoring of short selling: Evidence from China', RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 43, pp. 68 - 78, http://dx.doi.org/10.1016/j.ribaf.2017.07.087

UNSW Research Excellence Award 2023