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dc.contributor.authorLi, H.*
dc.contributor.authorYe, Xiaoxia*
dc.contributor.authorYu, F.*
dc.date.accessioned2017-12-22T08:53:56Z
dc.date.available2017-12-22T08:53:56Z
dc.date.issued2016-07-28
dc.identifier.citationLi H, Ye X and Yu F (2016) A Unified HJM Approach to Non-Markov Gaussian Dynamic Term Structure Models: International Evidence.en_US
dc.identifier.urihttp://hdl.handle.net/10454/14322
dc.descriptionNoen_US
dc.description.abstractMotivated by an extensive literature showing that government bond yields exhibit a strong non-Markov property, in the sense that moving averages of long-lagged yields significantly improve the predictability of excess bond returns. We then develop a systematic approach of constructing non-Markov Gaussian dynamic term structure models (GDTSMs) under the Heath-Jarrow-Morton (HJM) framework. Compared to the current literature, our approach is more flexible and parsimonious, enabling us to estimate an economically significant non-Markov effect that helps predict excess bond returns both in-sample and out-of-sample.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://dx.doi.org/10.2139/ssrn.2155538en_US
dc.subjectNon-Markov; Gaussian dynamic term structure models; Excess returns; International bond markets; Moving averages; Forecastingen_US
dc.titleA Unified HJM Approach to Non-Markov Gaussian Dynamic Term Structure Models: International Evidenceen_US
dc.status.refereedNoen_US
dc.typeReporten_US
dc.type.versionNo full-text in the repositoryen_US


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