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term structure surprises: the predictive content of curvature, level, and slope (replication data)

This paper analyzes the predictive content of the term structure components level, slope, and curvature within a dynamic factor model of macroeconomic and interest rate data. Surprise changes of the three components are identified using sign restrictions, and their macroeconomic underpinnings are studied via impulse response analysis. The curvature factor is found to carry predictive information both about the future evolution of the yield curve and the macroeconomy. In particular, unexpected increases of the curvature factor precede a flattening of the yield curve and announce a significant decline of output more than 1 year ahead.

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Suggested Citation

Moench, Emanuel (2012): Term structure surprises: the predictive content of curvature, level, and slope (replication data). Version: 1. Journal of Applied Econometrics. Dataset. https://journaldata.zbw.eu/dataset/term-structure-surprises-the-predictive-content-of-curvature-level-and-slope?activity_id=0c96f862-0e55-421e-8f78-9a707052402a