innovations in the level factor to explain the volatility of long-term bond returns. The model also implies that excess bond … predictability of excess returns on long-term bonds. Modeling this requires sufficient volatility and persistence in the price of … stylized facts. In a decomposition of long-term bond returns we find that the expectations component from the level factor is …

innovations in the level factor to explain the volatility of long-term bond returns. The model also implies that excess bond … predictability of excess returns on long-term bonds. Modeling this requires sufficient volatility and persistence in the price of … stylized facts. In a decomposition of long-term bond returns we find that the expectations component from the level factor is …

Most affine models of the term structure with stochastic volatility (SV) predict that the variance of the short rate is …;unspanned stochastic volatility (USV).quot; Of the models tested, only the A1(4) USV model is found to generate both realistic volatility … estimates and a good cross-sectional fit. Our findings suggests that interest rate volatility cannot be extracted from the cross …

Most affine models of the term structure with stochastic volatility (SV) predict that the variance of the short rate is … stochastic volatility (USV)." Of the models tested, only the A1(4) USV model is found to generate both realistic volatility … estimates and a good cross-sectional fit. Our findings suggests that interest rate volatility cannot be extracted from the cross …

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 …