Object structure
Title:

Forecasting Models Based on Fuzzy Logic: An Application on International Coffee Prices

Group publication title:

Ekonometria = Econometrics

Title in english:

Modele prognostyczne oparte na logice rozmytej: aplikacja dotycząca międzynarodowych cen kawy

Creator:

Fatih, Chellai

Subject and Keywords:

fuzzy logic ; time series ; forecasting ; coffee prices ; FTS models ; logika rozmyta ; szeregi czasowe ; prognozowanie ; ceny kawy

Description:

Econometrics = Ekonometria, 2022, Vol. 26, No. 4, s. 1-16

Abstrakt:

In recent decades, Fuzzy Time Series (FTS) has become a competitive, sometimes complementary, approach to classical time series methods such as that of Box-Jenkins. This study has two different purposes: a theoretical purpose, presenting an overview of the fuzzy logic and fuzzy time series models, and a practical purpose, which is to estimate and forecast monthly international coffee prices during the period 2000-2022. Analysing and forecasting the dynamics of coffee prices is of great interest to producers, consumers, and other market actors in managing and making rational decisions. The findings showed that international coffee prices exhibited significant fluctuations, with large increases and decreases influenced mainly by the level of top-ranked producers. The forecasted results revealed that a decrease in prices during the next six months (Jan 2023 to June 2023) is expected. Based on the results, it is also clear that the FTS models are more flexible and can be applied in forecasting time-series variables. At the same time, volatility and, sometimes, the unexpected swingsin coffee prices continue to draw more criticism and raise different issues regarding the roles of the markets and countries in ensuring food security.

Publisher:

Publishing House of Wroclaw University of Economics and Business

Place of publication:

Wroclaw

Date:

2022

Resource Type:

artykuł

Resource Identifier:

doi:10.15611/eada.2022.4.01

Language:

eng

Relation:

Econometrics = Ekonometria, 2022, Vol. 26, No. 4

Rights:

Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy

Access Rights:

Dla wszystkich zgodnie z licencją

License:

CC BY-SA 4.0

Location:

Uniwersytet Ekonomiczny we Wrocławiu

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