課程名稱 |
高階財務管理 Advanced Corporate Finance |
開課學期 |
108-2 |
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 |
723 M8510 |
班次 |
|
學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期四2,3,4(9:10~12:10) |
上課地點 |
管二304 |
備註 |
本課程中文授課,使用英文教科書。 限碩士班以上 總人數上限:40人 外系人數限制:5人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1082ACF |
課程簡介影片 |
|
核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
|
為確保您我的權利,請尊重智慧財產權及不得非法影印
|
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) |
|
週次 |
日期 |
單元主題 |
Week 1 |
3/5 |
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 |
3/12 |
Panel data II
*Stata online learning: panel regression II |
Week 3 |
3/19 |
Panel data III
*Stata online learning:
Part 3-1.How to deal with duplicates problem?
Part 3-2.Merging data sets
Part 3-3.Lagging |
Week 4 |
3/26 |
Instrumental variables approach I
*Stata online learning:
2SLS IV regression;
Part 3-4. Applications of bysort & egen |
Week 5 |
4/2 |
Spring vacation (no class)
|
Week 6 |
4/9 |
Instrumental variables approach II
*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 7 |
4/16 |
Difference-in-differences I
*Stata online learning:
Part 4-1.Winsorization
Part 4-2.Empirical testing
Part 4-3.Export Stata results into academic tables |
Week 8 |
4/23 |
Difference-in-differences II
|
Week 9 |
4/30 |
Corporate social responsibility
|
Week 10 |
5/7 |
Midterm exam
|
Week 11 |
5/14 |
Propensity score matching
*On-line learning: Reading tips |
Week 12 |
5/21 |
CEO traits and characteristics
*Stata online learning: Binary response models and endogenous selection bias |
Week 13 |
5/28 |
Cross-sectional heterogeneity
|
Week 14 |
6/4 |
Board characteristics
|
Week 15 |
6/11 |
Journal article presentation challenge
|
Week 16 |
6/18 |
Final exam
|
Week 17 |
6/25 |
Dragon boat festival (no class)
|
Week 18 |
7/2 |
*Stata online learning: Regression discontinuity design |
|