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

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

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