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Econometrics

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Associate Professor, Department of Accountancy and Institute of Finance and ... to three nonlinear models: Markov-switching, Threshold and Quantile models ... – PowerPoint PPT presentation

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Title: Econometrics


1
Econometrics
  • Course Syllabus

2
Personal Information
  • Instructor Name Ming-Yuan Leon Li
  • Instructor Tel Ext 53421
  • E-mail lmyleon_at_mail.ncku.edu.tw
  • Office Hours
  • Monday 1030-1200 AM
  • Thursday 200-330 PM
  • Office Number 63315

3
Personal Information
  • Current Position
  • Associate Professor, Department of Accountancy
    and Institute of Finance and Banking, National
    Cheng Kung University (NCKU), Taiwan
  • Past position
  • Associate Professor and Chair, Department of
    Banking and Finance, National Chi Nan University
    (NCNU), Taiwan

4
Personal Information
  • Research interests
  • Financial Risks Estimation
  • Stochastic Volatility
  • Empirical Study of Capital Asset Pricing
  • International Portfolio Management
  • International Finance

5
Personal Information
  • Publications
  • No. of papers published in SSCI international
    journals 7 (5 of them are single-authored)
  • No. of papers published in Taiwans SSCI
    journals 6
  • Two papers are now under review in the 2nd round
    in two A-level SSCI journals

6
Course Descriptions/Objectives
  • Help students to better understand the topics
    related to "Econometrics" by textbook studying
    and extra handouts in the class.
  • The goals of this course are the following
  • (1) Formulation of econometrics, that is,
    formulation of economic (or financial) models in
    an empirically testable form. Usually there are
    several ways of formulating the econometric model
    from an economic model because we have to choose
    the functional form, the specification of the
    stochastic structure of the variables, and so on.
    This part constitutes the specification aspect of
    the econometric work.
  • (2) Estimation and testing of these models with
    observed data
  • (3) Use of these models for prediction and policy
    purposes

7
Grading
  • 1st Exam (25) held in the 7th week (April, 1 to
    7)
  • 2nd Exam (25) held in the 13th week (May, 13 to
    19)
  • 3rd Exam (30) held in the 19th week (June, 24
    to 30)
  • Class participation (20)

8
Grading
  • Class participation
  • Homework
  • Writing and oral reports
  • Participation rate
  • Since It is a Ph.D. training course, you are
    encouraged to participate actively in classroom
    discussion. In order to maximize your learning
    and to receive credit for your classes, you must
    attend at least 80 of classes.
  • Teacher will follow the textbook to present the
    related important topics of Econometrics. It is
    expected that every student attend all classes
    and take all examinations when scheduled.

9
Textbook
  • Maddala, G.S., Introduction to Econometrics
  • Two Supplements
  • Hamilton, J.D., Time Series Analysis
  • Judge, G.G. et. al., Introduction to the Theory
    and Practice of Econometrics

10
Course Calendar/Schedule
  • Before 1st Exam
  • The Linear Regression Model (Ch 1 to Ch 4)
  • Chapter 5 Heteroskedasticity
  • Chapter 6 Autocorrelation
  • Between 1st and 2nd Exam
  • Chapter 7 Multicollinearity
  • Chapter 8 Dummy variables and truncated models
  • Chapter 9 Simultaneous equations models
  • After 2nd Exam
  • Chapter 13 Introduction to time-series analysis
  • Chapter 14 Vector autoregressions, unit roots,
    and cointegration
  • Chapter 15 Panel Data Analysis

11
Course Calendar/Schedule
  • Introduction to three nonlinear models
    Markov-switching, Threshold and Quantile models
  • Computer Programs E-views, Gauss

12
Slides
  • The slides in PowerPoint
  • How to find them
  • My personal homepage
  • http//140.116.51.3/chinese/faculty/mingyuan/myweb
    11/index.htm
  • Some suggestions
  • Download them and study them before the class

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