Forecasting structural change and fat-tailed events in Australian macroeconomic variables
Year of publication: |
November 2016
|
---|---|
Authors: | Cross, Jamie ; Poon, Aubrey |
Published in: |
Economic modelling. - Amsterdam [u.a.] : Elsevier, ISSN 0264-9993, ZDB-ID 86824-3. - Vol. 58.2016, p. 34-51
|
Subject: | Bayesian econometrics | Inflation forecasts | State space models | Stochastic volatility | Student's-t errors | Time varying parameters | Prognoseverfahren | Forecasting model | Australien | Australia | Zustandsraummodell | State space model | Volatilität | Volatility | Inflation | Zeitreihenanalyse | Time series analysis | Theorie | Theory | Bayes-Statistik | Bayesian inference | Stochastischer Prozess | Stochastic process |
-
Stochastic volatility models with ARMA innovations : an application to G7 inflation forecasts
Zhang, Bo, (2020)
-
Modeling tail risks of inflation using unobserved component quantile regressions
Pfarrhofer, Michael, (2022)
-
Stochastic volatility models with ARMA innovations : an application to G7 inflation forecasts
Zhang, Bo, (2018)
- More ...
-
Cross, Jamie, (2018)
-
Uncertainty and the term structure of interest rates
Cross, Jamie, (2023)
-
Macroeconomic forecasting with large stochastic volatility in mean VARs
Cross, Jamie, (2021)
- More ...