An Affine Multifactor Model with Macro Factors for the German Term Structure: Changing Results During the Recent Crises

Purpose Following Ang and Piazzesi’s (2003) study, the authors use an affine term structure model to study the relevance of macroeconomic (domestic and foreign) factors for Peru’s sovereign yield curve in the period from November 2005 to December 2015. The paper aims to discuss this issue. Design/methodology/approach Risk premia are modeled as time-varying and depend on both observable and unobservable factors; and the authors estimate a vector autoregressive model considering no-arbitrage assumptions. Findings The authors find evidence that macro factors help to improve the fit of the model and explain a substantial amount of variation in bond yields. However, their influence is very sensitive to the specification model. Variance decompositions show that macro factors explain a significant share of the movements at the short and middle segments of the yield curve (up to 50 percent), while unobservable factors are the main drivers for most of the movements at the long end of the yield curve (up to 80 percent). Furthermore, the authors find that international markets are relevant for the determination of the risk premium in the short term. Higher uncertainty in international markets increases bond yields, although this effect vanishes quickly. Finally, the authors find that no-arbitrage restrictions with the incorporation of macro factors improve forecasts. Originality/value To the authors’ knowledge this is the first application of this type of models using data from an emerging country such as Peru.

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An Affine Multifactor Model with Macro Factors for the German Term Structure: Changing Results During the Recent Crises

Cited by 2 publications

References 26 publications

Cure events in default prediction

Cure events in default prediction

Estimation of Peru’s sovereign yield curve: the role of macroeconomic and latent factors

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