Research Archive

A No-Arbitrage Vector Autoregression of Term Structure Dynamics with Macroeconomic and Latent Variables

Andrew Ang, Monika Piazzesi

Publication type: Journal article

Research Archive Topic: Business Economics and Public Policy, Capital Markets and Investments, Corporate Finance

Abstract

We describe the joint dynamics of bond yields and macroeconomic variables in a Vector Autoregression, where identifying restrictions are based on the absence of arbitrage. Using a term structure model with inflation and economic growth factors, together with latent variables, we investigate how macro variables affect bond prices and the dynamics of the yield curve. We find that the forecasting performance of a VAR improves when no-arbitrage restrictions are imposed and that models with macro factors forecast better than models with only unobservable factors. Variance decompositions show that macro factors explain up to 85% of the variation in bond yields. Macro factors primarily explain movements at the short end and middle of the yield curve while unobservable factors still account for most of the movement at the long end of the yield curve.
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Citation

Ang, Andrew, and Monika Piazzesi. "A No-Arbitrage Vector Autoregression of Term Structure Dynamics with Macroeconomic and Latent Variables." Journal of Monetary Economics 50, no. 4 (2003): 745-87.


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