2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

財務時間序列分析

Financial Time Series Analysis

學期
106-1
學分
0 學分
當期課號
5585
永久課號
IOF5082
開課單位
資訊管理與財務金融系財務金融碩博士班
授課教師
鄧惠文
校區
光復
類別
選修
上課時間表
週一
2
09:00–09:50
財務時間序列分析
M102(光復)
3 節連堂
3
10:10–11:00
4
11:10–12:00

* 根據陽明交大上課時間表所列

概述

This course aims at training students to be equipped with fundamental knowledge on time series analysis with applications to financial data. This course will cover materials including ARMA models, GARCH models, and high-frequency data modeling. This course introduces and illustrates how to implement statistical analysis using R programming.

先修科目

Statistics (I) and (II)

備註

無備註

教學方式

This courses trains students to analyze financial time series data using the freely available R software packages. In addition to examples in textbook, the student needs to implement an individual project using data retrieved in database (such as TEJ or WARDS) to illustrate how to formulate a problem and conduct suitable statistical analysis.

評分方式

Participation 5%, Homework 15%, Midterm Exam 30%, Final Exam 30%, Project 20%

課程大綱

教師未提供此項資料

週次計畫
週次主題
第 1 週

Syllabus. Introduction to R. Ch 1: Financial data

9/11
第 2 週

Ch 1: Visualization of the data.

9/18
第 3 週

Ch 2. Stationary, ACF, whine noise and linear time series, PACF

9/25
第 4 週

Ch 2: AR models

10/2
第 5 週

Break. Double Ten Festival

10/9
第 6 週

Ch 2: MA models, ARMA models

10/16
第 7 週

Ch 2: Uni root tests and case studies

10/23
第 8 週

Midterm Exam

10/30
第 9 週

GARCH models

11/6
第 10 週

Other GARCH models

11/13
第 11 週

Proposal presentation

11/20
第 12 週

Applications

11/27
第 13 週

Exam 2

12/4
第 14 週

Ch 7: Value-at-Risk and Expected Shortfall

12/11
第 15 週

Project Prensentation 1

12/18
第 16 週

Project Presentation 2

12/25
第 17 週

Break. New Year

1/1
第 18 週

Discussions

1/18
教科書

Required: Tsay, R.S. (2013) An introduction to analysis of financial data with R. Wiley \& Sons, Hoboken, New Jersey. Reference: Time Series Analysis and Its Applications: With R Examples, 3rd ed., Robert Shumway and David Stoffer

Office Hours
地點
M-415
時間
Thursday morning or by appointment
聯絡方式
venteng@gmail.com