Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/112113
DC FieldValueLanguage
dc.contributor金融系
dc.creator趙世偉zh_tw
dc.creatorChao, Shih Weien_US
dc.date2016-11
dc.date.accessioned2017-08-23T03:21:19Z-
dc.date.available2017-08-23T03:21:19Z-
dc.date.issued2017-08-23T03:21:19Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/112113-
dc.description.abstractThis paper explores whether various economic variables improve monthly bond return volatility forecasts using the 1963–2012 data. In-sample analysis indicates that stock return or Federal Funds rate difference Granger causes bond volatility of all maturities. The forecasting ability of other variables mainly appears at the short end of the term structure or during the relatively turbulent time. Out-of-sample analysis suggests little evidence of forecast improvement, though forecast combination does improve the performance. Decomposing the out-of-sample forecasts indicates that the poor performance is primarily attributed to overfitting, and variable reduction by principal components does not change the results.
dc.format.extent418548 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationInternational Review of Economics and Finance, 46, 10-26
dc.subjectBond return volatility; Predictive ability; Forecast combination; Forecast performance decomposition
dc.titleDo economic variables improve bond return volatility forecasts?en_US
dc.typearticle
dc.identifier.doi10.1016/j.iref.2016.08.001
dc.doi.urihttp://dx.doi.org/10.1016/j.iref.2016.08.001
item.openairetypearticle-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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