• Qing PENG
    Qing PENG

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    Advisor: Jun Pan

    Research Interests: Asset Pricing, U.S. Treasury Bonds, Monetary Policy, Chinese Stock Market

    Job Market Paper: The Pre-FOMC Drift and the Secular Decline in Long-term Interest Rates

    Introduction: I am a seventh-year Ph.D. student at SAIF. My research focuses on asset pricing, U.S. Treasury bonds, monetary policy, and the Chinese stock market. I have a strong passion for conducting empirical research to understand the intersection of asset pricing, macro-finance, and political policy, with a central focus on how financial markets anticipate and price the uncertainty associated with market-moving events such as Federal Open Market Committee (FOMC) meetings in the U.S. and top government meetings in China.

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  • Naide YE
    Naide YE

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    Advisor: Chun Chang, Yongxiang Wang, Xiaoyun Yu

    Research Interests: Corporate Finance, Organizational and Political Economics, Finance and Development

    Job Market Paper: Judicial Constraints and Expropriation Risk in Local Government Procurement Contracts: A Capital Market-Based Inference

    Introduction: My research lies at the intersection of Corporate Finance, Organizational and Political Economics. I seek to understand how institutional frictions, arising from political incentives, judicial structures, and financial intermediation, shape firm behavior and economic development in emerging markets, particularly China.
    I study how political and judicial frictions influence firm behavior and capital markets, how incentive misalignments within China’s multi-layered government distort policy implementation, and how frictions in financial intermediation affect resource allocation, industrial structure, and long-term growth. Collectively, my work aims to shed light on the institutional foundations of China’s economic transformation and the broader link between finance, governance, and development.

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  • Xingjian ZHENG
    Xingjian ZHENG

    Email:

    Advisor: Feng Li

    Research Interests: Artificial Intelligence, FinTech, Behavioral Finance, Asset Pricing

    Introduction: Xingjian Zheng is a sixth-year Ph.D. candidate at the Shanghai Advanced Institute of Finance (SAIF). He was a visiting PhD student at Harvard Business School, sponsored by the China Scholarship Council (CSC). His working papers on AI and behavioral decision-making have been accepted for presentation at over twenty top international conferences, including the AEA, AFA poster, ABFER poster, CICF, SFS Cavalcade, and the NAWM Econometric Society. Additionally, his research on deep learning and asset pricing has been published in the Journal of Management Science in China, a top-tier domestic journal. Xingjian has served as a discussant for multiple international conferences and as a reviewer for international journals. He is a recipient of several awards and grants, such as the National Scholarship, Academic Excellence Scholarship, Outstanding Teaching Assistant Award, and an AFA Travel Grant. In his spare time, he is a fitness coach and a huge fan for powerlifting.

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