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Anticipating Long-Term Stock Market Volatility (replication data)
We investigate the relationship between long-term US stock market risks and the macroeconomic environment using a two-component GARCH-MIDAS model. Our results show that... -
The Measurement and Characteristics of Professional Forecasters' Uncertainty ...
Several statistical issues that arise in the construction and interpretation of measures of uncertainty from forecast surveys that include probability questions are considered,... -
Local Adaptive Multiplicative Error Models for High-Frequency Forecasts (repl...
We propose a local adaptive multiplicative error model (MEM) accommodating time-varying parameters. MEM parameters are adaptively estimated based on a sequential testing... -
Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting (re...
Factor models have been applied extensively for forecasting when high-dimensional datasets are available. In this case, the number of variables can be very large. For instance,... -
The Contribution of Structural Break Models to Forecasting Macroeconomic Seri...
This paper compares the forecasting performance of models that have been proposed for forecasting in the presence of structural breaks. They differ in their treatment of the... -
A Theoretical Foundation for the Nelson-Siegel Class of Yield Curve Models (r...
Yield curve models within the popular Nelson-Siegel class are shown to arise from formal low-order Taylor approximations of the generic Gaussian affine term structure model.... -
Bayesian VARs: Specification Choices and Forecast Accuracy (replication data)
In this paper we discuss how the point and density forecasting performance of Bayesian vector autoregressions (BVARs) is affected by a number of specification choices. We adopt...
