Forecasting Growth of Australian Industrial Output Using Interest Rate Models
- Lin Luo
Abstract
We examine the ability of short rates and yield spreads to forecast the growth in Australian industrial output. We find that since 1990, the short rate has a significant increase in its predictive power for forecasting output growth in many industries. We document this increase. The yield spread, on the other hand, is useful in predicting the growth of industries with a `longer' production cycle, such as manufacturing and wholesale trade. Hence, the predictive power of the yield spread on total GDP, is mainly from its ability to forecast these industries. Our out-of-sample forecasts show that yield spread is a good forecasting device for many industries, particular for output growth over longer horizons.
- Full Text: PDF
- DOI:10.5539/ibr.v1n2p19
Journal Metrics
h-index (January 2024): 102
i10-index (January 2024): 947
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- ACNP
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CNKI Scholar
- COPAC
- CrossRef
- EBSCOhost
- EconBiz
- ECONIS
- EconPapers
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- IBZ Online
- IDEAS
- Infotrieve
- Kobson
- LOCKSS
- Mendeley
- MIAR
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ResearchGate
- ROAD
- Scilit
- SHERPA/RoMEO
- SocioRePEc
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- UCR Library
- Universe Digital Library
- ZBW-German National Library of Economics
- Zeitschriften Daten Bank (ZDB)
Contact
- Kevin DuranEditorial Assistant
- ibr@ccsenet.org