| 研究生: |
黃氏秋賢 Hoang Thi Thu Hien |
|---|---|
| 論文名稱: |
越南,台灣和美國股票市場之時間序列分析 A time-series analysis on the stock markets of Vietnam, Taiwan and the US. |
| 指導教授: |
蔡政憲
Tsai, Jason |
| 口試委員: |
陳春龍
Chen, Chuen-Lung 林姿婷 Lin, Tzu-Ting |
| 學位類別: |
碩士
Master |
| 系所名稱: |
商學院 - 國際經營管理英語碩士學位學程(IMBA) International MBA Program College of Commerce(IMBA) |
| 論文出版年: | 2019 |
| 畢業學年度: | 107 |
| 語文別: | 英文 |
| 論文頁數: | 38 |
| 中文關鍵詞: | 整合移動平均自回歸模型 、廣義自回歸條件異方差模型 、風險價值 、越南股票市場 、波動性 |
| 外文關鍵詞: | ARIMA, GARCH, VAR, Vietnam stock market, Volatility |
| DOI URL: | http://doi.org/10.6814/NCCU201900462 |
| 相關次數: | 點閱:78 下載:0 |
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This thesis investigates the interdependence relationship between the Vietnam stock market and other advanced equity markets, including Taiwan and US during the period from 2000 to 2019. An ARIMA-GARCH model is used to capture the volatility transmissions and a VAR model is used to describe the returns linkage. I find statistical evidence that the Vietnam stock market is partially affected by its past performance and strongly affected by performance of US market, while there is little association between Vietnam and Taiwan stock markets.
1. Introduction 1
1.1. Motivations 1
1.2. Overview of the Vietnam, Taiwan and US stock markets 3
1.2.1. Overview of the Vietnam stock market. 4
1.2.2. Overview of the Taiwan stock market. 5
1.2.3. Overview of the US stock market. 6
2. Literature Review 7
3. Chapter 3: Data and Methodology 9
3.1. Data 9
3.2. Methodology 10
3.2.1. ARIMA (Autoregressive Integrated Moving Average) 10
3.2.2. ARCH/GARCH (Generalized Autoregressive Conditionally Heteroscedastic) 13
3.2.3. VAR (Vector Auto-Regression) 14
4. Results and Discussions 16
4.1. Stationarity test on prices 16
4.2. Differencing time-series 17
4.3. ARIMA 18
4.3.1. Diagnosing ACF and PACF 18
4.3.2. ARIMA 20
4.4. ARCH/GARCH 24
4.4.1. VNI 24
4.4.2. TAIEX 26
4.4.3. SPX 28
4.5. VAR 29
4.5.1. Co-integration test 29
4.5.2. VAR 30
4.5.3. 4.5.3 Granger Causality test 33
5. Conclusions 35
6. References 37
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