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we label Convergence Gap (CG), contains information that is valuable for bond predictability. Adding CG in forecasting … regressions of bond excess returns significantly raises the R-squared, and restores countercyclical variation in bond risk premia … the path of rates, our factor has predictive ability for real bond excess returns. The importance of the gap remains …
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The dynamic behavior of the term structure of interest rates is difficult to replicate with models, and even models with a proven track record of empirical performance have underperformed since the early 2000s. On the other hand, survey expectations are accurate predictors of yields, but only...
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I provide evidence that risks in macroeconomic fundamentals contain valuable information about bond risk premia. I … account for up to 31% of the variation in excess bond returns. The main predictor factors are associated with point … unemployment rate. In addition, factors provide information about bond risk premia variation that is largely unrelated to that …
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This paper examines the relation between variations in perceived inflation uncertainty and bond premia. Using the …-based ex-post measures of macroeconomic risk. Inflation uncertainty is an important driver of bond premia, but the relation … forecasts appears a much less important driver of bond premia. …
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We suggest using "realized volatility" as a volatility proxy to aid in model-based multivariate bond yield density … translate into superior predictive performance. We explore this conjecture in the context of density prediction of U.S. bond …
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