113年第1學期-6192 時間序列分析專題(二) 課程資訊
評分方式
評分項目 | 配分比例 | 說明 |
---|---|---|
Class attendance | 50 | |
Final report | 50 |
選課分析
本課程名額為 70人,已有1 人選讀,尚餘名額69人。
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授課教師
林孟樺教育目標
The purpose of this course is to provide students with a comprehensive understanding of nonlinear time series models, with a focus on financial time series data. The students will begin by reviewing the basic concepts of time series, such as linear models, unit roots, seasonality, and empirical specification strategies. They will then explore the typical features of financial time series and delve into regime-switching models for returns and volatility, including GARCH models. The main activities are lectures, discussions, and practical exercises utilizing R to apply theoretical concepts to real-world financial data.
課程概述
This course will explore nonlinear time series models designed to account for the empirical properties of financial time series. The primary focus will be on modeling nonlinear conditional heteroscedasticity as well as model comparison approaches. In addition, computer exercises will be offered using R after a few lectures.
課程資訊
基本資料
選修課,學分數:3-0
上課時間:三/6,7,8[M428]
修課班級:統計博6
修課年級:6年級以上
選課備註:
教師與教學助理
授課教師:林孟樺
大班TA或教學助理:尚無資料
Office HourOffice Hour
Wednesday: 11:00-12:00
Thursday: 14:00-15:00
Office: M449
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
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參考書目
Franses, P. H., & Dijk, D. van. (2000). Non-Linear Time Series Models in Empirical Finance. Cambridge University Press. https://doi.org/10.1017/CBO9780511754067
開課紀錄
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