Zhuozhen Peng (彭卓桢)

Assistant Professor · School of Accountancy
Central University of Finance and Economics · Beijing, China

Zhuozhen Peng

Biography

Welcome! I am an Assistant Professor at the Central University of Finance and Economics. I received my Ph.D. in Finance from Nanyang Technological University in 2023.

My research examines how investors form beliefs and how financial information is produced and communicated. I am particularly interested in why investors favor certain securities, how professional analysts and individual investors develop and share investment ideas, and how these ideas influence trading behavior and asset prices. My work spans behavioral finance, empirical asset pricing, and empirical corporate finance.

Methodologically, I work with large-scale, granular financial data, with a particular focus on unstructured information. I use textual analysis, train and fine-tune task-specific NLP models, and apply large language models (LLMs) to measure investor beliefs and extract economically meaningful information that is difficult to observe in conventional financial datasets.

Research Interests

  • Behavioral Finance
  • Empirical Corporate Finance
  • Financial Analysts
  • Social Media
  • Fintech

Education

PhD
Ph.D. in Finance 2018–2023
Nanyang Technological University, Singapore
MFin
Master of Finance 2015–2016
University of California, San Diego, USA
BA
Bachelor of Economics 2011–2015
Southwestern University of Finance and Economics, China

Publication

The Review of Financial Studies 2025

Why Do Investors Like Short-leg Securities? Evidence from a Textual Analysis of Buy Recommendations

Hailiang Chen, Byoung-Hyoun Hwang, and Zhuozhen Peng

The Review of Financial Studies, 38(12), 3729–3767 (2025).

Abstract

Our paper examines analyst reports and online stock opinion articles, which recommend investors buy stocks that, based on prior literature, trade at comparatively high prices and earn low future returns (“short-leg securities”). We conduct textual analysis and test whether the justifications provided in these buy recommendations primarily (1) emphasize a stock’s safe-haven quality, (2) indicate general investor exuberance, or (3) highlight a stock’s lottery-like features. We find that the buy recommendations mostly emphasize stocks’ lottery-like characteristics. We subsequently validate our text-based inferences through a one-time survey of actual institutional and retail investors with long positions in short-leg securities. Overall, our results suggest that perceived lottery-like features play a material role in explaining why investors like and invest in stocks that reside in short legs of anomalies.

Research Grant

National Natural Science Foundation of China (NSFC)

Principal InvestigatorProject period: 2027–2029

Mechanisms of Sell-Side Analysts' Information Production under Generative AI

Teaching

Instructor · Central University of Finance and Economics

Corporate Valuation & Quantitative Investing
Undergraduate
2026
Financial Statement Analysis & Valuation
Undergraduate
2026
Accounting
Undergraduate
2024–2026

Co-instructor & Teaching Assistant · Nanyang Technological University

Fixed Income Securities
Undergraduate · Co-Instructor
2022
Sustainable Finance
Graduate · Teaching Assistant
2023
Investments
Undergraduate · Teaching Assistant
2019–2021

Prior Experience

Quantitative Analyst · Strategy & Risk Management
LianHai Capital Asset Management · Beijing, China
2017–2018

Contact

WeChat / mobile: +86 13982229267

School of Accountancy · Central University of Finance and Economics
39 South College Road, Haidian District, Beijing, China 100081