課程資訊
課程名稱
公司理財專題研討
Seminar in Corporate Finance 
開課學期
104-2 
授課對象
管理學院  財務金融學研究所  
授課教師
陳彥行 
課號
Fin7046 
課程識別碼
723EM8500 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期三2,3,4(9:10~12:10) 
上課地點
管二304 
備註
本課程以英語授課。
限碩士班以上
總人數上限:20人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1042COPFIN 
課程簡介影片
 
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課程概述

This course is aimed to prepare students of master or PhD. level for conducting empirical research in the field of corporate finance. Students are required to have undergraduate level background knowledge of econometrics and corporate finance. Without relying on too much mathematics, the lecture will first introduce econometric models that are frequently used in the empirical corporate finance literature and how to implement those models in statistic software such as STATA and RATS. Then, the lecturer will show how to apply those models in five hot issues in recent top finance journals: labor and finance, corporate social responsibility, corporate governance, cash management, and bank behavior. After the introduction of each issue, master students are required to present papers with similar topic and propose new research ideas (at most two papers for each student). Ph.D. students will then provide comments and suggestions for the presentation. Students will also learn how to propose a practical research project with high potential to become their degree thesis.  

課程目標
※Objectives
Prepare students of master or PhD. level for conducting empirical research in the field of corporate finance
•What are the hot issues
•What are the econometric models
•How to implement the estimation in a statistic software (STATA and RATS)
•How to develop a research proposal (idea, hypothesis, and methodology)

※Strategies
–Learn econometrics
•Stay away from mathematics
•Rely on intuition in describing statistical properties and the estimation procedure
•Show how to implement them in STATA or RATS
•In-class exercise
–Learn issues and how to apply econometrics
•Read and present papers in recent finance journals
–Develop research idea
•Propose research ideas after each presentation
•Provide comments and suggestions for each other

These models are every where in corporate finance researches
–Data: With both cross sectional and time series dimensions
–Issue: Endogenous problem
–Methodology:
•Year-fixed effect
•Difference-in-differences (DID)
•First difference (FD estimator)
•Firm-fixed effect (FE estimator)
•Instrument variables (IV)
•Two-stage least squares (2SLS)
•Propensity score matching (PSM)
•Regression discontinuity design (RDD)

※Issues
–Traditional Issues in corporate finance
•Capital structure, payout policy, M&A, cash holdings, governance, innovation
–New ingredients
•Labor, corporate social responsibility (CSR), bank
–New research questions
•How does labor union affect capital structure?
•Do firms with better CSR have better outcome of M&A?
•Does bank competition affect innovation?
•What is the effect of CEO overconfidence on bank risk taking?
•Do weather derivatives make weather forecast of governance agencies more accurate?

※Prerequisite
–Undergraduate level corporate finance or financial management
–Undergraduate level statistics and econometrics
•Ordinary least squares
•Hypothesis testing, t-value, p-value  
課程要求
※Grading policy (master students)
–Participation and In-class exercise and (50%);
•Bring your laptop with installed statistic software to classroom if the topic is about econometrics (March 2, 9, April 20, and May 18)
–Journal article presentation (25%)
•At most two papers
•Need to provide new research idea
•Need to design a 5-minute quiz
•Need to email PPT and quiz to Jean before Monday noon (15% discount in grade if fail to do so)
- Term project proposal (25%)
•At most 5 pages with single space
•Motivation, hypothesis, data, empirical design, expected contribution
•Can be used as your master thesis
•Due on June 22 (print out a hard copy and send it to Jean)

※Grading policy (Ph.D. students)
–Class participation (50%)
•Provide comments and suggestions for each presentation delivered by master students
–Lecture design (25%)
•Topics: Simultaneity / sample selection bias / PSM / RDD
•70-minutes lecture
•Introduce an econometric methodology
•Show applications in finance papers
•Show how to implement in STATA and other software
•Design a 10-minute quiz
–Term project proposal (25%)  
預期每週課後學習時數
 
Office Hours
 
指定閱讀
1. Wooldridge, J.M. (2013). Introductory econometrics: A modern approach, 5th Edition (for undergraduate students)
2. Roberts, M. R., Whited, T. M. (2013). Endogeneityin empirical corporate finance. In ConstantinidesG. M., Harris, and Stulz, R. M. Stulz(Eds.) Handbook of the Economics of Finance 2A, 493-572
3. Lecture notes and journal articles
4. Website for programming materials of this course:
http://homepage.ntu.edu.tw/~f03723001/Teaching%20Materials%20for%20Corp_Hsing-Hua%20Hsu's%20Website.htm 
參考書目
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
2/24  Introduction and pooled cross-sectional data