Showing 1 - 10 of 134
subjective choices in the setting of the prior. Moreover, it performs very well both in terms of out-of-sample forecasting …
Persistent link: https://www.econbiz.de/10011272306
We consider the problem of short-term time series forecasting (nowcasting) when there are more possible predictors than …
Persistent link: https://www.econbiz.de/10011264930
This paper develops and illustrates a simple method to generate a DSGE model-based forecast for variables that do not explicitly appear in the model (non-core variables). We use auxiliary regressions that resemble measurement equations in a dynamic factor model to link the non-core variables to...
Persistent link: https://www.econbiz.de/10005718736
This paper develops a vector autoregression (VAR) for time series which are observed at mixed frequencies - quarterly and monthly. The model is cast in state-space form and estimated with Bayesian methods under a Minnesota-style prior. We show how to evaluate the marginal data density to...
Persistent link: https://www.econbiz.de/10010721189
Employing a large number of real and financial indicators, we use Bayesian Model Averaging (BMA) to forecast real-time measures of economic activity. Importantly, the predictor set includes option-adjusted credit spread indexes based on bond portfolios sorted by maturity and credit risk as...
Persistent link: https://www.econbiz.de/10008804678
We examine the evidence on excess stock return predictability in a Bayesian setting in which the investor faces uncertainty about both the existence and strength of predictability. When we apply our methods to the dividend-price ratio, we find that even investors who are quite skeptical about...
Persistent link: https://www.econbiz.de/10009251492
We use a micro-founded macroeconometric modeling framework to investigate the design of monetary policy when the central bank faces uncertainty about the true structure of the economy. We apply Bayesian methods to estimate the parameters of the baseline specification using postwar U.S. data, and...
Persistent link: https://www.econbiz.de/10005050058
We propose a Bayesian procedure for exploiting small, possibly long-lag linear predictability in the innovations of a finite order autoregression. We model the innovations as having a log-spectral density that is a continuous mean-zero Gaussian process of order 1/√T. This local embedding makes...
Persistent link: https://www.econbiz.de/10008805023
This paper investigates whether oil prices have a reliable and stable out-of-sample relationship with the Canadian/U.S dollar nominal exchange rate. Despite state-of-the-art methodologies, we find little systematic relation between oil prices and the exchange rate at the monthly and quarterly...
Persistent link: https://www.econbiz.de/10011227945
price movements around macroeconomic news announcements. These "surprises" cannot be used directly in forecasting--they are … not observed at the time that the forecast is made--but can nonetheless improve forecasting accuracy by reducing parameter … of forecasting excess bond and equity returns. We find substantial improvements in out-of-sample forecast accuracy for …
Persistent link: https://www.econbiz.de/10005720382