J 2023

Coffee as an Identifier of Inflation in Selected US Agglomerations

VOCHOZKA, Marek, Svatopluk JANEK and Zuzana ROWLAND

Basic information

Original name

Coffee as an Identifier of Inflation in Selected US Agglomerations

Authors

VOCHOZKA, Marek (203 Czech Republic, guarantor, belonging to the institution), Svatopluk JANEK (203 Czech Republic, belonging to the institution) and Zuzana ROWLAND (203 Czech Republic, belonging to the institution)

Edition

Forecasting, Švýcarsko, MDPI, 2023, 2571-9394

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/75081431:_____/23:00002546

Organization unit

Institute of Technology and Business in České Budějovice

UT WoS

000955509400001

Keywords in English

coffee price; CPI; time series; Pearson r; SARIMA model

Tags

BPE_MOP, RIV23, SCOPUS, WOS
Změněno: 26/4/2023 13:12, Barbora Kroupová

Abstract

V originále

The research goal presented in this paper was to determine the strength of the relationship between the price of coffee traded on ICE Futures US and Consumer Price Indices in the major urban agglomerations of the United States—New York, Chicago, and Los Angeles—and to predict the future development. The results obtained using the Pearson correlation coefficient confirmed a very close direct correlation (r = 0.61 for New York and Chicago; r = 0.57 for Los Angeles) between the price of coffee and inflation. The prediction made using the SARIMA model disrupted the mutual correlation. The price of coffee is likely to anchor at a new level where it will fluctuate; on the other hand, the CPIs showed strong unilateral pro-growth trends. The results could be beneficial for the analysis and creation of policies and further analyses of market structures at the technical level.
Displayed: 16/11/2024 02:06