Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business

Xiaorui Zhu

PhD Student
Professional Summary
Xiaorui (Jeremy) Zhu is a Ph.D. student at University of Cincinnati, Lindner College of Business. His major is Business Analytics. Before coming to the University of Cincinnati, he received an MS in Finance from the Penn State University and a master of applied statistics from Beijing University of Technology. His research interests include high dimensional statistics, machine learning, quantitative finance, and its applications. In quantitative finance, he studied volatility models of financial time series with heavy-tailed innovation. His another project is predicting corporate bankruptcy and demystifying nonlinear relationships. He believes that stay Hungry, stay Foolish, and stay Creative is the secret to success. And he dreams of being able to create meaningful things that will benefit the general public. Personal website: http://homepages.uc.edu/~zhuxr/
Contact Information
E-mail:
Office:
534 Carl H. Lindner Hall
Phone:
513-556-5703
Fax:
513-556-5499
Education

Institution:
The Pennsylvania State University
Location:
PA
Major:
Finance
Completed:
2016
Degree:
MS


Institution:
Beijing University of Technology
Location:
Beijing, China
Major:
Applied Statistics
Completed:
2014
Degree:
MS


Institution:
Capital University of Economics and Business
Location:
Beijing, China
Major:
Statistics
Completed:
2011
Degree:
BA


Published Contributions

Kathryn  Jablokow, Xiaorui Zhu, Jack  Matson, Akshay  Kakde,  (2016). Stimulating Creativity in Online Learning Environments through Intelligent Fast Failure (IFF). American Society of Engineering Education (ASEE) 2016 Annual Conference & Exposition, .


Xiaorui Zhu, Li Xie,  (2016). Adaptive quasi-maximum likelihood estimation of GARCH models with Student’s t likelihood. Communications in Statistics - Theory and Methods , 6102-6111.



Accepted Contributions



Presentations

Title:
Additive Logistic Model with Macroeconomic Covariates for Corporate Bankruptcy Prediction
Organization:
ASA
Location:
Baltimore, Maryland
Year:
2017


Title:
Amplify Creativity in Big Data Era: Relationship between creativity and failure
Organization:
Renmin University of China
Location:
Beijing, China
Year:
2016