We propose a new data-rich environment model of the yield curve, the macroeconomy, monetary policies and effective exchange rates for a panel of 11 countries: the iDREAM. The endogenous variables are observable (short- and long-term interest rates, exchange rates) and latent factors (economic...

We present a factor augmented forecasting model for assessing the financial vulnerability in Korea. Dynamic factor models often extract latent common factors from a large panel of time series data via the method of the principal components (PC). Instead, we employ the partial least squares (PLS)...

This paper examines the predictability of the Federal Reserve (Fed) sentiment conveyed by the words in the Federal Open Market Committee (FOMC) statements. First, we construct a Fed sentiment index based on textual analysis. Second, we predict the Fed sentiment index by using a large set of...

The evolution of the yields of different maturities is related and can be described by a reduced number of commom latent factors. Multifactor interest rate models of the finance literature, common factor models of the time series literature and others use this property. Each model has advantages...

We generalize the arbitrage-free Nelson Siegel (AFNS) model to allow λt to vary over time. We find that the time-varying λt, which determines the relative factor loadings, typically reaches its local peak before starting to decline right before a recession. Through conducting extensive...

Inflation rates are highly persistent and extremely difficult to predict. Most statistical predictions based on predictive regressions fail to outperform the simple assumption of random walk in out-of-sample testing. The poor out-of-sample performance is a common feature of predictive...

This paper evaluates inflation forecasts made by Norges Bank which is a successful forecast targeting central bank. It is expected that Norges Bank produces inflation forecasts that are on average better than other forecasts, both "naive" forecasts, and forecasts from econometric models outside...

This paper evaluates inflation forecasts made by Norges Bank which is recognized as a successful forecast targeting central bank. It is reasonable to expect that Norges Bank produces inflation forecasts that are on average better than other forecasts, both 'naïve' forecasts, and forecasts...

This paper evaluates inflation forecasts made by Norges Bank which is a successful forecast targeting central bank. It is expected that Norges Bank produces inflation forecasts that are on average better than other forecasts, both naive forecasts, and forecasts from econometric models outside...

We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating information, yet on different...