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Bond Risk Premia and Gaussian Term Structure Models

Bruno Feunou () and Jean-Sebastien Fontaine ()

Staff Working Papers from Bank of Canada

Abstract: Cochrane and Piazzesi (2005) show that (i) lagged forward rates improve the predictability of annual bond returns, adding to current forward rates, and that (ii) a Markovian model for monthly forward rates cannot generate the pattern of predictability in annual returns. These results stand as a challenge to modern Markovian dynamic term structure models (DTSMs). We develop the family of conditional mean DTSMs where the yield dynamics depend on current yields and their history. Empirically, we find that (i) current and past yields generate cyclical risk-premium variations, (ii) the model risk premia offer better returns forecasts, and (iii) the model coefficients are close to Cochrane-Piazzesi regressions of long-horizon returns. Yield decompositions differ significantly from what a standard model suggests - the expectation component decreases less in a recession and increases less in the recovery. A small Markovian factor “hidden” in measurement error (Duffee, 2011) explains some of the differences but is not sufficient to match the evidence.

Keywords: Asset Pricing; Interest rates (search for similar items in EconPapers)
JEL-codes: E43 E47 G12 (search for similar items in EconPapers)
Pages: 51 pages
Date: 2014
New Economics Papers: this item is included in nep-fmk and nep-mac
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Journal Article: Bond Risk Premia and Gaussian Term Structure Models (2018) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:bca:bocawp:14-13

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