FORECASTING SEASONAL TIME SERIES WITH CALOT MODEL
Published: 2015-01-01
Volume: No 38 - June 2015
Pages: 155|162
Authors
- Calcedonia ENACHE — The Academy of Economic Studies, Bucharest, Romania
Abstract
Activities with a variation trend depending on the change of seasons are frequent in agriculture. For such phenomena it is not enough just to analyze the annual change trend, the cyclical fluctuations which occur from one quarter to another or from one month to another must also be taken into account. In this context, the present paper proposes that by using statistical and econometric techniques to reveal regularities in the evolution of the agricultural monthly average income per household, the extrapolation of the investigated variable being based on it.
Keywords: Calot model; autocorrelation function; income from agriculture; seasonal time series; forecasting
Cite this article
APA: Calcedonia ENACHE (2015). FORECASTING SEASONAL TIME SERIES WITH CALOT MODEL. Internal Auditing & Risk Management, Vol. 38, No. 38, pp. 155-162.
BibTeX:
@article{calcedoniaenache2015315,
title = {FORECASTING SEASONAL TIME SERIES WITH CALOT MODEL},
author = {Calcedonia ENACHE},
journal = {Internal Auditing & Risk Management},
year = {2015},
volume = {38},
pages = {155----162},
doi = {}
}