Lee Kong Chian School of Business
Singapore Management University
50 Stamford Road, 178899
Email: xqgeng.2021@pbs.smu.edu.sg
Lee Kong Chian School of Business
Singapore Management University
50 Stamford Road, 178899
Email: xqgeng.2021@pbs.smu.edu.sg
Hi, welcome to my personal website! I am Xueqing GENG (耿雪晴), a Ph.D. candidate in finance at Lee Kong Chain School of Business, Singapore Management University (SMU).
My research primarily focuses on empirical corporate finance, with an interest in stakeholder interactions, SPACs, financial analysts, labor market, etc. While my projects span different areas, they are unified by a common theme: the financial market and firms do not operate in isolation. Instead, their behavior and outcomes are shaped by complex interactions among different stakeholders and with the external environment. My research aims to understand these interactions.
Working papers
SPACs Boom, Bust, and Structural Failures with Fangjian Fu and Dan Ma
Best Paper Award at the Singapore Rising Scholars Conference
Presented at China Tech-Fin Research Conference 2025, FMA Europe 2023, ENTFIN 2023, SMU Finance Summer Camp 2023, Singapore Rising Scholar Conference 2023
Abstract: Special Purpose Acquisition Companies (SPACs) experienced a skyrocket rise in 2020-2021 but rapidly collapsed in 2022, raising concerns about their long-term viability. This paper explores the structural flaws that underlie the SPAC boom-and-bust cycle. Three key issues emerge: (1) the misalignment between risk and return, which turns SPACs into speculative instruments rather than investment vehicles; (2) agency problems, where sponsors have distorted incentives with limited governance; and (3) the failure of traditional market gatekeepers – such as underwriters and M&A advisors – in certifying deal quality. Empirical evidence from updated data on redemption rates, deal performance, and the role of financial intermediaries, supports the need for regulatory and structural reforms to make SPACs a viable alternative to traditional IPOs and venture capital.
Salient Cues of Economic Transitions in Analyst Forecasting: Evidence from the Electric Vehicle Era with Jarrad Harford, Weikai Li, and Yonghao Zhai
CFA Institute's Best Paper on Sustainable Investment at AFBC
Presented at MFA 2026, FARS Midyear Meeting 2026, ABFER Poster Session 2026, FMA 2025, EAA Talent Workshop 2025, AFBC 2025, Singapore Scholar Symposium 2025, ABR-Fudan Joint Conference 2025, SMU Finance Summer Camp 2025
Seminars: Fudan University, Renmin University of China, Nankai University, SMU
Abstract: We examine how salient cues of broad economic trends shape financial analysts’ forecasting, using U.S. MSA-level electric vehicle (EV) adoption as a proxy for local green salience. After controlling for MSA, analyst, and firm characteristics, analysts in high-EV areas make more accurate forecasts for green firms. This improvement reflects not a net gain in forecasting ability, but a reallocation of limited attention and effort toward green firms. The effect is stronger among male, younger, and less busy analysts, and for harder-to-value firms, and is accompanied by more frequent forecast revisions, greater climate-related engagement during earnings calls, and increased use of opportunity-oriented climate language in analysts’ reports. Markets respond more strongly to forecast revisions by these analysts, and the information environment of green firms improves under their coverage.
Work in Progress
Employee Whistleblowing on Glassdoor and Consumer Purchasing Behavior: Evidence from Machine Learning Analysis with Rencheng Wang and Yonghao Zhai
Ideology Alignment and the US Government Foreign Procurement
Publications before PhD
Geng, X., & Guo, K. (2022). Research on dynamic structure of the exchange rate volatility network among the Belt and Road countries based on spillover effect. Applied Economics Letters, 29(5), 446-454.
Wang, Y., Geng, X., & Guo, K. (2022). The influence of international oil price fluctuation on the exchange rate of countries along the “Belt and Road”. The North American Journal of Economics and Finance, 59, 101588.