A Unified HJM Approach to Non-Markov Gaussian Dynamic Term Structure Models: International Evidence
Publication date
28/07/2016Keyword
Non-MarkovGaussian dynamic term structure models
Excess returns
International bond markets
Moving averages
Forecasting
Peer-Reviewed
NoOpen Access status
closedAccess
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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.Version
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Li H, Ye X and Yu F (2016) A Unified HJM Approach to Non-Markov Gaussian Dynamic Term Structure Models: International Evidence.Link to Version of Record
https://doi.org/10.2139/ssrn.2155538Type
Reportae974a485f413a2113503eed53cd6c53
https://doi.org/10.2139/ssrn.2155538