EconPapers    
Economics at your fingertips  
 

Real-Time Forecast Evaluation of DSGE Models with Stochastic Volatility

Francis Diebold (), Frank Schorfheide () and Minchul Shin

PIER Working Paper Archive from Penn Institute for Economic Research, Department of Economics, University of Pennsylvania

Abstract: Recent work has analyzed the forecasting performance of standard dynamic stochastic general equilibrium (DSGE) models, but little attention has been given to DSGE models that incorporate nonlinearities in exogenous driving processes. Against that background, we explore whether incorporating stochastic volatility improves DSGE forecasts (point, interval, and density). We examine real-time forecast accuracy for key macroeconomic variables including output growth, inflation, and the policy rate. We find that incorporating stochastic volatility in DSGE models of macroeconomic fundamentals markedly improves their density forecasts, just as incorporating stochastic volatility in models of financial asset returns improves their density forecasts.

Keywords: Dynamic stochastic general equilibrium model; prediction; stochastic volatility (search for similar items in EconPapers)
JEL-codes: E17 E27 E37 E47 (search for similar items in EconPapers)
Date: 2015-05-01, Revised 2015-05-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8) Track citations by RSS feed

Downloads: (external link)
https://economics.sas.upenn.edu/sites/default/files/filevault/15-018.pdf (application/pdf)

Related works:
Journal Article: Real-time forecast evaluation of DSGE models with stochastic volatility (2017) Downloads
Working Paper: Real-time forecast evaluation of DSGE models with stochastic volatility (2017) Downloads
Working Paper: Real-Time Forecast Evaluation of DSGE Models with Stochastic Volatility (2016) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pen:papers:15-018

Access Statistics for this paper

More papers in PIER Working Paper Archive from Penn Institute for Economic Research, Department of Economics, University of Pennsylvania 133 South 36th Street, Philadelphia, PA 19104. Contact information at EDIRC.
Bibliographic data for series maintained by Administrator ().

 
Page updated 2019-10-18
Handle: RePEc:pen:papers:15-018