The role of oil prices on the Russian business cycle
Harri Pönkä and
Yi Zheng
Research in International Business and Finance, 2019, vol. 50, issue C, 70-78
Abstract:
We study the role of oil prices in forecasting Russian recession periods with probit models. Our findings suggest that fluctuations in nominal oil prices are useful predictors of the Russian business cycle, even when controlling for a number of classic recession predictors. However, in line with international findings, the term spread turns out to be the most powerful predictor of future recessions. Overall, the best in-sample fit is found using a model including the term spread and the oil price variable as predictors. The pseudo out-of-sample forecasts confirm the findings.
Keywords: Business cycle; Oil prices; Probit model; Recession (search for similar items in EconPapers)
JEL-codes: C22 E32 E37 G17 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0275531919301333
Full text for ScienceDirect subscribers only
Related works:
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:eee:riibaf:v:50:y:2019:i:c:p:70-78
DOI: 10.1016/j.ribaf.2019.04.011
Access Statistics for this article
Research in International Business and Finance is currently edited by T. Lagoarde Segot
More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().