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
Edition
Forecasting, Švýcarsko, MDPI, 2023, 2571-9394
Other information
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
Impact factor
Impact factor: 3.000 in 2022
RIV identification code
RIV/75081431:_____/23:00002546
Organization unit
Institute of Technology and Business in České Budějovice
Keywords in English
coffee price; CPI; time series; Pearson r; SARIMA model
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: 12/2/2025 10:14