Similar Search Results

DSGE Model-Based Forecasting of Non-modelled Variables

Schorfheide, Frank - 2009

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/10012463776

Identifying Long-Run Risks : A Bayesian Mixed-Frequency Approach

Schorfheide, Frank - 2014

multiple stochastic volatility processes. The estimation is based on annual consumption data from 1929 to 1959, monthly … Bayesian estimation provides strong evidence for a small predictable component in consumption growth (even if asset return data … are omitted from the estimation). Three independent volatility processes capture different frequency dynamics; our …

Persistent link: https://www.econbiz.de/10012458363

Are Macroeconomic Forecasts Informative? Cointegration Evidence from the ASA-NBER Surveys

Cheung, Yin-Wong - 1999

We examine the properties of the ASA-NBER forecasts for several US macroeconomic variables, specifically: (i) are the actual and forecast series integrated of the same order; (ii) are they cointegrated, and; (iii) is the cointegrating vector consistent with long run unitary elasticity of...

Persistent link: https://www.econbiz.de/10012471881

Answering the Critics : Yes, ARCH Models Do Provide Good Volatility Forecasts

Andersen, Torben G. - 1997

Volatility permeates modern financial theories and decision making processes. As such, accurate measures and good forecasts of future volatility are critical for the implementation and evaluation of asset pricing theories. In response to this, a voluminous literature has emerged for modeling the...

Persistent link: https://www.econbiz.de/10012472795

Comparing Predictive Accuracy

Diebold, Francis X. - 1994

Using research designs patterned after randomized experiments, many recent economic studies examine outcome measures for treatment groups and comparison groups that are not randomly assigned. By using variation in explanatory variables generated by changes in state laws, government draft...

Persistent link: https://www.econbiz.de/10012473994

Evidence on Structural Instability in Macroeconomic Time Series Relations

Stock, James H. - 1994

An experiment is performed to assess the prevalence of instability in univariate and bivariate macroeconomic time series relations and to ascertain whether various adaptive forecasting techniques successfully handle any such instability. Formal tests for instability and out-of-sample forecasts...

Persistent link: https://www.econbiz.de/10012474068

The Predictive Ability of Several Models of Exchange Rate Volatility

West, Kenneth D. - 1994

We compare the out-of-sample forecasting performance of univariate homoskedastic, GARCH, autoregressive and nonparametric models for conditional variances, using five bilateral weekly exchange rates for the dollar, 1973-1989. For a one week horizon, GARCH models tend to make slightly more...

Persistent link: https://www.econbiz.de/10012474328

Bayesian Variable Selection for Nowcasting Economic Time Series

Scott, Steven L. - 2013

We consider the problem of short-term time series forecasting (nowcasting) when there are more possible predictors than observations. Our approach combines three Bayesian techniques: Kalman filtering, spike-and-slab regression, and model averaging. We illustrate this approach using search engine...

Persistent link: https://www.econbiz.de/10012459094

Conditional Projection by Means of Kalman Filtering

Clarida, Richard H. - 1984

We establish that the recursive, state-space methods of Kalman filtering and smoothing can be used to implement the Doan, Litterman, and Sims (1983) approach to econometric forecast and policy evaluation. Compared with the methods outlined in Doan, Litterman, and Sims, the Kalman algorithms are...

Persistent link: https://www.econbiz.de/10012477752

Spurious Trend and Cycle in the State Space Decomposition of a Time Series with a Unit Root

Nelson, Charles R. - 1987

Recent research has proposed the state space (88) framework for decomposition of GNP and other economic time series into trend and cycle components, using the Kalman filter. This paper reviews the empirical evidence and suggests that the resulting decomposition may be spurious, just as...

Persistent link: https://www.econbiz.de/10012476643

1
2
3
4
5
6
7
8
9
10
Next
Last