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)...

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...

General-to-Specific (GETS) modelling has witnessed major advances over the last decade thanks to the automation of multi-path GETS specification search. However, several scholars have argued that the estimation complexity associated with financial models constitutes an obstacle to multi-path...

In this article we analyze the accuracy and stability of short-run inflation forecasts for Chile coming from Extended Seasonal Arima (ESARIMA) models. We compare ESARIMA forecasts to those coming from surveys and traditional time series bench- marks available in the literature. Our results show...

This paper is the ?rst one to analyze the ability of linear and nonlinear monetary policy rule specifications as well as nonparametric and semiparametric models in forecasting the nominal interest rate setting that describes the South African Reserve Bank (SARB) policy decisions. We augment the...

In this paper, we 1) examine the interactions of financial variables and the macroeconomy within the block-restriction vector autoregression model and 2) evaluate to what extent the financial variables improve the forecasts of GDP growth and inflation. For this reason, various financial...

This paper re-examines the out-of-sample predictive power of interest rate spreads when the short-term nominal rates have been stuck at the zero lower bound and the Fed has used unconventional monetary policy. Our results suggest that the predictive power of some interest rate spreads have...

We examine two approaches characterized by different tail features to extract market expectations on the Mexican peso-US dollar exchange rate. Expectations are gauged by risk-neutral densities. The methods used to estimate these densities are the Volatility Function Technique (VFT) and the...

We examine two approaches characterized by different tail features to extract market expectations on the Mexican peso-US dollar exchange rate. Expectations are gauged by risk-neutral densities. The methods used to estimate these densities are the Volatility Function Technique (VFT) and the...

This paper shows that the Fed reacts to change in spreads between corporate bond yields and government bond yields over and beyond their information content on future inflation and future activity. This result, obtained in a GMM framework, is confirmed by simulation methods. Moreover, when...