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(June 12)Research Topic Selection, Empirical Research, and Model Optimization

Time: Jun 14, 2016

时间 地点
人物

Title:

Research Topic  Selection, Empirical Research, and Model Optimization                  

Lecturer:

Prof.MA Jianyu

Time:

9:30,June 12,2016

Venue:

1012, New  Science & Technology Building, North Campus

Lecturer  Profile

Jianyu  Ma received his Ph.D.in Business Administration (Finance) from University of  Texas Pan American. He is an Associate Professor (tenured) in Finance at Robert  Morris University, Adjunct full professor of Graduate School at University of  Maryland University College. He has 30+ publications and presentations as first  author. His research appears in International Journal of Revenue Management,  International Journal of Commerce and Management, International Journal of Business,  International Journal of Business  and Systems Research, among  others. His current research interests include mergers and acquisitions,  international investment, and local government taxation. He is an editorial  review board member of International Journal of Revenue Management. He served  as President-Elect for 25th International Conference on the Pacific Rim  Management (2015), the annual conference of Association for Chinese Management  Educators (ACME). Currently, he serves as President of ACME.

Lecture  Abstract

The  lecture introduces common practice in the process of selecting a research topic  and discusses advantages and disadvantages of empirical research method. The  lecture also addresses the issue regarding model optimization and includes  critiques of a research paper. The paper discusses model selection for mergers  and acquisitions analysis in Asian emerging markets. We extract a data set of  mergers and acquisitions from Asian emerging markets and examine the  distribution of the stock returns for the acquiring firm and the corresponding  market portfolio in each deal. Non-normal distribution of the returns appears  in the test of most deals. We use two robust regressions and a nonparametric  statistic test to examine the efficacy of the standard OLS market model. The  traditional methods of measuring abnormal returns around event windows may be  flawed. The robust regressions, Huber regression M-estimator and bootstrapping  quantile regression, provide better and higher estimation of abnormal returns.

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