課程資訊
課程名稱
計量分析
QUANTITATIVE ANALYSIS 
開課學期
99-1 
授課對象
管理學院  財務金融學研究所  
授課教師
何耕宇 
課號
Fin7047 
課程識別碼
723 M9000 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期四6,7,8(13:20~16:20) 
上課地點
管二103 
備註
本課程中文授課,使用英文教科書。本課程中文授課,使用英文教科書。主修財金組必選。
限本系所學生(含輔系、雙修生) 且 限碩士班以上
總人數上限:50人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/991QA_NTU_FIN 
課程簡介影片
 
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課程概述

This course is a graduate level course of quantitative analysis for non-economics major students. The purpose of the course is to equip students with fundamental knowledge on quantitative analysis and possible econometrics tools for master dissertation. The course is divided into two parts. The first part covers lectures on the required text book and may also include certain demonstrations based on Stata software. The second part introduces two major empirical topics in finance with journal article readings. There will also be a group project (8-10 groups, detailed later) based on Stata software (or any software of your own choice) and a final exam. 

課程目標
The purpose of the course is to equip students with fundamental knowledge on quantitative analysis and possible econometrics tools for master dissertation. 
課程要求
Group Project (40%, including 15% for presentation).
Final Exam (40%).
Class Discussion and Participation (20%). 
預期每週課後學習時數
 
Office Hours
另約時間 
指定閱讀
Stock and Watson, 2007, Introduction to Econometrics, 2nd ed., Addison-Wesley.
Lecture Notes and Assigned Journal Articles.
Stata Software. 
參考書目
Brooks, 2008, Introductory Econometrics for Finance, 2nd ed., Cambridge.
Wooldridge, 2006, Introductory Econometrics: A Modern Approach, 3rd ed., Thomson South-Western.
Campbell, Lo, and MacKinlay, 1997, The Econometrics of Financial Markets, Princeton University Press.
Huang and Lizenberger, 1988, Foundations for Financial Economics, Prentice-Hall.
Ingersoll, 1987, The Theory of Financial Decision Making, Rowman and Littlefield. 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
9/16  Introduction 
第2週
9/23  Review of Probability and Statistics 
第3週
9/30  Single Linear Regression 
第4週
10/07  Multiple Linear Regression 
第5週
10/14  Nonlinear Regression Function 
第6週
10/21  Panel Data Regression 
第7週
10/28  Binary Regression 
第8週
11/04  Instrumental Variables 
第9週
11/11  Time-Series Analysis and Forecasting (I) 
第10週
11/18  Time-Series Analysis and Forecasting (II) 
第11週
11/25  Additional Topics in Time-Series Regression 
第12週
12/02  Mean-Variance Analysis 
第13週
12/09  Mean-Variance Spanning and Intersection Tests 
第14週
12/16  Event Study-From Short-Run to Long-Run 
第15週
12/23  Event Study-Long-Run Methodology 
第16週
12/30  Group Project Presentation (I) 
第17週
1/06  Group Project Presentation (II) 
第18週
1/13  Final Exam