課程資訊
課程名稱
 高階財務管理
Advanced Corporate Finance 
開課學期
 107-2 
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
 Fin7068 
課程識別碼
 723EM8510 
班次
  
學分
 3.0 
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
 管二103 
備註
 本課程以英語授課。
限碩士班以上
總人數上限：40人
外系人數限制：5人 
課程簡介影片
 
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課程大綱
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課程概述

The primary objective of the course is to exchange ideas in corporate finance. I hope that doing this will help you meet several other objectives, namely.

 

課程目標
 (1) Improve your ability to formulate viable research topics. The means of doing this are to examine a number of research areas in corporate finance to see how they developed, to practice by suggesting lines of research in areas that we discuss, to select areas for discussion, to prepare literature searches, and to engage in discussions of research.
(2) Improve your understanding of current areas of research in corporate finance. The means of doing this is to examine a sampling of current research areas in corporate finance.
(3) Improve your ability to discuss, comment upon, and referee the work of others. The means of doing this are class discussions of papers.
(4) Improve your ability to conduct research in corporate finance. The means of doing this is to conduct a literature search on a topic, formulate a summary of extant research, devise testable hypotheses, and design experiments for future research in corporate finance.


II. Some Philosophy:

Research questions frequently arise as a result of an in-depth examination of an area of research that has already received attention in the finance literature. The research questions take many forms:

(1) investigating previously unanswered questions, perhaps with new data, new techniques, or new models,
(2) corrections of flawed methods,
(3) investigating new phenomena,
(4) new approaches to old problems,
(5) testing implications of theories,
(6) synthesizing previously unconnected research areas,
(7) investigating public policy issues,
(8) improving the measurement 
課程要求
 (1) Class Participation: 50%.

To get us started, I have selected several subject areas for class discussion. These papers will get us started and illustrate how the research process works. Your responsibility during these and the remaining class discussions is to be prepared to discuss the papers, so that you can exchange ideas. You will have to read the papers very carefully, criticize them, explain their purposes, hypotheses, methods, findings, importance, etc., and suggest future research.

(2) Research Proposal: 50%.

You are required to submit and present your own research proposal. Your research topic should be in corporate finance. To find a topic, take recent journal issues and inspect the publications. Then, decide a topic that is most interesting to you and potentially has significant contribution to the literature. Your proposal should include two parts:

• Provide, in detail, previous theoretical and/or empirical studies related to your research topic.

• Propose future theoretical and/or empirical research work.

The emphasis in this paper should be on your own suggested future research. Be as definite as you can. Sketch out or even develop your ideas for a research paper that takes the literature one step beyond what you have reviewed. It would be better if you can also provide some preliminary results.
 
預期每週課後學習時數
  
Office Hours
 每週三 15:30~16:30 
指定閱讀
  
參考書目
 待補 
評量方式
(僅供參考)
    
課程進度
週次
日期
單元主題
Week 1
 2/20  Introduction & Panel data I

*Stata on-line learning:
basic course - Warm up;
basic course - Part 1. basic settings;
basic course - Part 2. Dealing with Stata dta. file 
Week 2
 2/27  Panel data II
*Stata online learning: panel regression II 
Week 3
 3/6  Instrumental variable approach I

*Stata online learning:
Part 3-1.How to deal with duplicates problem?
Part 3-2.Merging data sets
Part 3-3.Lagging 
Week 4
 3/13  Instrumental variable approach II

*Stata online learning:
2SLS IV regression;
Part 3-4.Applications of "bysort" &"egen" 
Week 5
 3/20  Difference-in-differences

*Stata online learning:
Part 3-5.Loops
Part 3-6.Dealing with dirty date format
Part 3-7.Transform data into panel data format 
Week 6
 3/27  Regression discontinuity design

*Stata online learning:
Part 4-1.Winsorization
Part 4-2.Empirical testing
Part 4-3.Export Stata results into academic tables 
Week 7
 4/3  Spring vacation (no class) 
Week 8
 4/10  Corporate social responsibility
 
Week 9
 4/17  Labor and labor unions
 
Week 10
 4/24  Midterm exam
 
Week 11
 5/1  Reading skills
 
Week 12
 5/8  CEO traits
*Stata online learning: Matching methods
https://youtu.be/B0Zk4U7uVDM
 
Week 13
 5/15  Cross-sectional heterogeneity
 
Week 14
 5/22  Board characteristics
*Stata online learning: Binary response models: https://youtu.be/ZL1r5NX3-gc
 
Week 15
 5/29  Journal article presentation challenge 
Week 16
 6/5  Final exam
 
Week 17
 6/12  Search and manage literature

*Reference video: Zotero - cite as you write
https://youtu.be/QIwzjVAVx6Y 
Week 18
 6/19  Review (no class)