A Unified HJM Approach to Non-Markov Gaussian Dynamic Term Structure Models: International Evidence
dc.contributor.author | Li, H. | * |
dc.contributor.author | Ye, Xiaoxia | * |
dc.contributor.author | Yu, F. | * |
dc.date.accessioned | 2017-12-22T08:53:56Z | |
dc.date.available | 2017-12-22T08:53:56Z | |
dc.date.issued | 2016-07-28 | |
dc.identifier.citation | Li 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.uri | http://hdl.handle.net/10454/14322 | |
dc.description | No | en_US |
dc.description.abstract | Motivated 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.iso | en | en_US |
dc.relation.isreferencedby | https://dx.doi.org/10.2139/ssrn.2155538 | en_US |
dc.subject | Non-Markov; Gaussian dynamic term structure models; Excess returns; International bond markets; Moving averages; Forecasting | en_US |
dc.title | A Unified HJM Approach to Non-Markov Gaussian Dynamic Term Structure Models: International Evidence | en_US |
dc.status.refereed | No | en_US |
dc.type | Report | en_US |
dc.type.version | No full-text in the repository | en_US |