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Yanjie Wang is a PhD Job Market Candidate at the UZH Department of Finance. He joined our academic program in the year 2019 and is supervised by Professor Michel Habib.
I am inspired by the opportunity to explore new questions, gain fresh perspectives, and deepen my understanding of complex topics.
My research interests focus on financial intermediation, corporate finance, and the application of machine learning in finance.
My job market paper examines how cautious banks performed relative to their less cautious counterparts during and after the Great Financial Crisis. Addressing this question requires a precise definition of ‘caution’ and an identification strategy to isolate the effects of cautious behavior on bank performance.
The recurring nature of financial crises highlights the importance of understanding their formation and development. My research aims to better equip us to anticipate and navigate future crises.
My findings indicate that cautious banks outperformed others by holding more cash as a fraction of cash and short-term investments and relying less on repurchase agreements as a fraction of total short-term borrowings.
My job market paper uses an interdisciplinary approach—integrating natural language processing, new empirical industrial organization, and reduced-form regressions—to provide new insights into how managerial caution influences bank performance during financial crises, on the basis of managerial communication in bank annual reports.
While the tone of managerial communication reflects both recent performance and future prospects, the latter unlike the former are unobservable. Methodologically, my job market paper shows how to obtain a quantitative measure of managerial prospects by combining machine learning methods and discrete choice models.