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This paper applies a local linear level model to European yields using the state space methodology to structural equation models in order to obtain an unobserved state vector containing the level, slope and seasonal component of the yields. In addition, this has been performed by differentiating...
Persistent link: https://www.econbiz.de/10013079706
In this paper we develop a new way of modelling time variation in term premia. This is based on the stochastic discount factor model of asset pricing with observable macroeconomic factors. The joint distribution of excess holding period US bond returns of different maturity and the fundamental...
Persistent link: https://www.econbiz.de/10013318878
The traditional view of the monetary transmission mechanism rests on the premise that the Federal Reserve (Fed) controls the level of the Federal funds rate via open market operations and the liquidity effect. By contrast, this paper argues that the Fed also manipulates the Federal funds rate...
Persistent link: https://www.econbiz.de/10014141658
We estimate a model with latent factors that summarize the yield curve (namely, level, slope, and curvature) as well as observable macroeconomic variables (real activity, inflation, and the stance of monetary policy). Our goal is to provide a characterization of the dynamic interactions between...
Persistent link: https://www.econbiz.de/10014074794
particular parameter uncertainty is important for long-run forecasts. This implies that hitherto existing forecasting methods …
Persistent link: https://www.econbiz.de/10003770767
in particular parameter uncertainty is important for long-run forecasts. This implies that existing forecasting methods …
Persistent link: https://www.econbiz.de/10003770768
TVP-VAR provides the best forecasting performance for the series of GDP and net worth of financial intermediaries for all … steps-ahead, while the DSGE model outperforms the other specifications in forecasting inflation and the federal funds rate …
Persistent link: https://www.econbiz.de/10011518833
The predictive likelihood is of particular relevance in a Bayesian setting when the purpose is to rank models in a forecast comparison exercise. This paper discusses how the predictive likelihood can be estimated for any subset of the observable variables in linear Gaussian state-space models...
Persistent link: https://www.econbiz.de/10010412361
We propose a state space modeling framework to evaluate a set of forecasts that target the same variable but are updated along the forecast horizon. The approach decomposes forecast errors into three distinct horizon-specific processes, namely, bias, rational error and implicit error, and...
Persistent link: https://www.econbiz.de/10012944406
We develop a method for directly modeling cointegrated multivariate time series that are observed in mixed frequencies. We regard lower-frequency data as regularly (or irregularly) missing and treat them with higher-frequency data by adopting a state-space model. This utilizes the structure of...
Persistent link: https://www.econbiz.de/10013317180