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https://ah.lib.nccu.edu.tw/handle/140.119/134865| 題名: | 以Copula-GJR-GARCH方法探討股票與債券之連動性 An evaluation of stock and bond markets with Copula-GJR-GARCH model |
作者: | 羅永健 Luo, Yong-Jian |
貢獻者: | 張興華 Chang, Hsing-Hua 羅永健 Luo, Yong-Jian |
關鍵詞: | 相關係數結構 GJI-GARCH模型 動態copula correlation structure GJI-GARCH model dynamic copula |
日期: | 2020 | 上傳時間: | 3-May-2021 | 摘要: | 資產報酬之間相關係數在金融市場上是非常重要的。無論是資產配置或者是風險控管都需要用到資產間的相關關係。資產間的相關關係並不是線型關係，而是非線形的。因此資產間的動態結構能更好地描述資產間的相關關係。本文以10年期美國國庫券期貨、MSCI全國家世界指數(All Country World Index, ACWI)、MSCI開發中國家指數 (Emerging Market Index, EM) 以及MSCI已開發國家指數（Developed Markets Index, DM）為例。利用附加動態條件的Copula-GJR-GARCH模型，探討債券報酬與股票指數報酬、以及股票指數報酬間的相關係數結構。最後經本文研究實證結果顯示，上述資產報酬之間的當期的相關係數顯著地受到前一期相關係數的影響。此外，近10期的報酬率所包含的資訊也會對當期相關係數有不同程度的影響。 Owing to their importance in asset allocation strategies and risk management, the comovements between the stock and bond markets have become an increasingly popular issue in financial markets. However, the correlation between assets may change over time. Therefore, the dynamic structure of assets can describe the correlation better. This paper take 10-year us Treasury futures, the MSCI All Country World Index, the MSCI Emerging Market Index and the MSCI Developed Market Index as examples. Using the Copula-GJR-GARCH model with dynamic conditions to discuss the correlation structure between asset returns. Finally, the empirical results in this paper show that the correlation of the above asset returns in the current period is significantly affected by previous period. In addition, the information contained in the return of last 10 period will also affect the correlation of the current period. |
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資料來源: | http://thesis.lib.nccu.edu.tw/record/#G0107352044 | 資料類型: | thesis |
| Appears in Collections: | 學位論文 |
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