101年第2學期-4848 財務時間序列 課程資訊

評分方式

評分項目 配分比例 說明
Attandence 20
Midterm Exam 30
Final Exam 30
Homework 20

選課分析

本課程名額為 70人,已有12 人選讀,尚餘名額58人。


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授課教師

黃愉閔

教育目標

This course intends to provide pathway that one can broaden the skills and approaches of time series modeling to apply into conventional financial models and risk management issues where time series analysis arises. This course mainly consists of several parts: (1) Review of linear time series (2) Modern financial models (Equality return models, CAPM, Event-Study Analysis, Multifactor Pricing Models, portfolio selection) (3) Nonlinear time series (GARCH models, Threshold Models, Volatility models, Quantile time series (4) Factor Models. (5) Nonparametric Time Series. (6) Markov Switching Models. In this course, we will use R software to analyze data and program codes to learn financial time series models.

課程概述

The past decades we have seen an extraordinary growth in the use of quantitative methods in financial markets due to the higher needs for quality of financial risk management as well as developing financial products. Time series data sets are very commonly seen and used for analyzing in financial world. This course intends to provide pathway that one can broaden the skills and approaches of time series modeling to apply into conventional financial models and risk management issues where time series analysis arises. This course mainly consists of several parts: (1) Review of linear time series (2) Modern financial models (Equality return models, CAPM, Event-Study Analysis, Multifactor Pricing Models, portfolio selection) (3) Nonlinear time series (GARCH models, Threshold Models, Volatility models, Quantile time series (4) Factor Models. (5) Nonparametric Time Series. (6) Markov Switching Models.

課程資訊

參考書目

1. The Econometrics of Financial Markets [Hardcover]
John Y. Campbell (Author), Andrew W. Lo (Author), A. Craig MacKinlay (Author), Andrew Y. Lo (Author)

2. Analysis of Financial Time Series [Hardcover]
Ruey S. Tsay (Author)

3. Introduction to Time Series and Forecasting [Hardcover]
Peter J. Brockwell (Author), Richard A. Davis (Author)

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