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題名 The Role of US Variables in Long-Run and Short-Run Taiwan Stock Volatility
作者 趙世偉
Chao, Shih-Wei
貢獻者 金融系
關鍵詞 GARCH; MIDAS; Taiwan stock market; volatility components
日期 2018-04
上傳時間 28-Aug-2018 14:27:02 (UTC+8)
摘要 This article uses the GARCH-MIDAS model to decompose Taiwan stock volatility and studies the role of US economic variables in each component. The full-sample results indicate that the additional explanatory information of US variables is contributed mostly by stock market measures, and the link between short-run Taiwan and US stock volatility is particularly evident. The out-of-sample results suggest that the in-sample significant US variables lead to slightly smaller forecast errors for both volatility components, but the improvements are very limited. The analysis also extends to Electronics and Non-Electronics subindices, a range-based volatility estimator and a different volatility decomposition method. Despite these alternatives, the main conclusions do not change.
關聯 Emerging Markets Finance and Trade
資料類型 article
DOI https://doi.org/10.1080/1540496X.2018.1464908
dc.contributor 金融系
dc.creator (作者) 趙世偉zh_TW
dc.creator (作者) Chao, Shih-Weien_US
dc.date (日期) 2018-04
dc.date.accessioned 28-Aug-2018 14:27:02 (UTC+8)-
dc.date.available 28-Aug-2018 14:27:02 (UTC+8)-
dc.date.issued (上傳時間) 28-Aug-2018 14:27:02 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/119679-
dc.description.abstract (摘要) This article uses the GARCH-MIDAS model to decompose Taiwan stock volatility and studies the role of US economic variables in each component. The full-sample results indicate that the additional explanatory information of US variables is contributed mostly by stock market measures, and the link between short-run Taiwan and US stock volatility is particularly evident. The out-of-sample results suggest that the in-sample significant US variables lead to slightly smaller forecast errors for both volatility components, but the improvements are very limited. The analysis also extends to Electronics and Non-Electronics subindices, a range-based volatility estimator and a different volatility decomposition method. Despite these alternatives, the main conclusions do not change.en_US
dc.format.extent 148 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Emerging Markets Finance and Trade
dc.subject (關鍵詞) GARCH; MIDAS; Taiwan stock market; volatility componentsen_US
dc.title (題名) The Role of US Variables in Long-Run and Short-Run Taiwan Stock Volatilityen_US
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1080/1540496X.2018.1464908
dc.doi.uri (DOI) https://doi.org/10.1080/1540496X.2018.1464908