Inflation Forecasting and the Distribution of Price Changes
Sartaj Rasool Rather (),
Sunil Paul and
S. Raja Sethu Durai ()
Additional contact information
S. Raja Sethu Durai: Madras School of Economics
Working Papers from Madras School of Economics,Chennai,India
Abstract:
This study shows that replacing the traditional measure of asymmetry that is skewness in the inflation forecasting model with an alternative asymmetry measure that captures the joint influence of both skewness and variance on inflation significantly improves the forecast at various horizons. The empirical evidence suggests that it is more appropriate to use such measure of asymmetry in inflation forecast model as it has edge over simple measure of skewness in predicting inflation. These findings are consistent with the prediction of menu cost model that the variance of cross sectional distribution of relative price changes amplifies the impact of skewness on inflation.
Keywords: skewness; relative price changes; asymmetry; inflation forecasting (search for similar items in EconPapers)
JEL-codes: E30 E31 E52 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2015-03
New Economics Papers: this item is included in nep-cba, nep-for and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.mse.ac.in/wp-content/uploads/2016/09/Working-Paper-99-for-Web.pdf (application/pdf)
Related works:
Journal Article: Inflation forecasting and the distribution of price changes (2015) 
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:mad:wpaper:2015-099
Access Statistics for this paper
More papers in Working Papers from Madras School of Economics,Chennai,India Contact information at EDIRC.
Bibliographic data for series maintained by Geetha G ().