教學大綱 Syllabus

科目名稱:財務研究方法

Course Name: Empirical Methods in Finance

修別:選

Type of Credit: Elective

1.0

學分數

Credit(s)

10

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

This course offers a rigorous introduction to empirical econometrics with a specific focus on finance, covering essential topics in corporate finance and asset pricing. It is designed to equip students with a deep understanding of econometric techniques applicable to financial data analysis.

Structured as a series of detailed lectures, I will guide students through the complexities of modern financial theories and empirical methods. Students will engage practically with major financial databases such as CRSP, COMPUSTAT, I/B/E/S, SDC, and Datastream. They will learn and apply a variety of empirical techniques, including regression analysis, event studies, and endogeneity tests to financial datasets. Practical sessions will focus on skills such as data collection, manipulation, and rigorous analysis, which are critical for understanding and executing empirical research in finance.

核心能力分析圖 Core Competence Analysis Chart

能力項目說明


    課程目標與學習成效Course Objectives & Learning Outcomes

    This course is designed for graduate students in finance who are preparing to undertake empirical research, particularly for their master's theses. It aims to build a solid foundation of empirical skills and knowledge, enabling students to perform sophisticated financial analyses and contribute effectively to the field of finance. By the end of this course, students will be adept at employing advanced econometric methods in practical financial contexts.

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

    1.    Meeting 1
    -    Course overview
    -    Basic comments of SAS program
    -    Introduction to financial databases


    2.    Meeting 2
    -    Combining accounting information with price level data
    -    Static analysis


    3.    Meeting 3
    -    Event study and application examples


    4.    Meeting 4
    -    Economic significance
    -    Panel data analysis
    -    Model specification tests


    5.    Meeting 5
    -    Endogeneity issues


    6.    Meeting 6
    -    Empirical application
    -    Project discussions

     

    授課方式Teaching Approach

    50%

    講述 Lecture

    50%

    討論 Discussion

    0%

    小組活動 Group activity

    0%

    數位學習 E-learning

    0%

    其他: Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Class Participation             50%

    Term Project                       50%

    指定/參考書目Textbook & References

    There is no required textbook for this course. Whereas, the following two references will be useful for students seeking deeper understanding and additional insights.

    1. Journal papers in Journal of Finance, Journal of Financial Economics, Review of Financial Studies, and Journal of Financial & Quantitative Analysis.

    2. Campbell, Lo, and MacKinley, 1997, The Econometrics of Financial Markets, Princeton University Press.

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

    維護智慧財產權,務必使用正版書籍。 Respect Copyright.

    課程相關連結Course Related Links

    
                

    課程附件Course Attachments

    課程進行中,使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    需經教師同意始得使用 Approval

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