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Xiaodi (Coco) Zhu joined Ò°»¨ÉçÇø in 2018 and has taught several courses in Finance and Data Science area. Her current research interests focus on finance and data analysis, including behavioral finance, financial disclosure analysis, and portfolio analysis. Her research projects include mining textual data in the financial disclosures, studying the structure of financial statements, and firm’s risk analysis.
   
Courses Taught

• FINC 250 Financial Literacy
• FINC 305 Introduction to Data Science
• FINC 415 Data Management
• FINC 473 Portfolio Analysis
• FINC 514 Introduction to Data Science
• FINC 535 Data Management   

Selected Publications

• Yang, S. Y., Liu, F. C., Zhu, X., & Yen, D. C. (2019). A Graph Mining Approach to Identify Financial Reporting Patterns: An Empirical Examination of Industry Classifications. Decision Sciences, 50(4), 847-876.
• Zhu, X., Yang, S. Y., & Moazeni, S. (2016). Firm risk identification through topic analysis of textual financial disclosures. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-8). IEEE.
• Yang, S. Y., Mo, S. Y. K., & Zhu, X. (2014). An empirical study of the financial community network on Twitter. In 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr) (pp. 55-62). IEEE.

Schools Attended/Degrees

• Ph.D. in Financial Engineering, Stevens Institute of Technology, USA
• M.S. in Financial Engineering, Stevens Institute of Technology, USA
• B.E. in Financial Engineering, University of International Business and Economics, China