Coffee as an Identifier of Inflation in Selected US Agglomerations

@article{67901,
   author = {Vochozka, Marek and Janek, Svatopluk and Rowland, Zuzana},
   article_location = {Švýcarsko},
   article_number = {1},
   keywords = {coffee price; CPI; time series; Pearson r; SARIMA model},
   language = {eng},
   issn = {2571-9394},
   journal = {Forecasting},
   title = {Coffee as an Identifier of Inflation in Selected US Agglomerations},
   url = {https://www.mdpi.com/2571-9394/5/1/7},
   volume = {5},
   year = {2023}
}

TY  - JOUR
ID  - 67901
AU  - Vochozka, Marek - Janek, Svatopluk - Rowland, Zuzana
PY  - 2023
TI  - Coffee as an Identifier of Inflation in Selected US Agglomerations
JF  - Forecasting
VL  - 5
IS  - 1
SP  - 153-169
EP  - 153-169
PB  - MDPI
SN  - 25719394
KW  - coffee price
KW  - CPI
KW  - time series
KW  - Pearson r
KW  - SARIMA model
UR  - https://www.mdpi.com/2571-9394/5/1/7
N2  - 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.
ER  - 

VOCHOZKA, Marek, Svatopluk JANEK and Zuzana ROWLAND. Coffee as an Identifier of Inflation in Selected US Agglomerations. \textit{Forecasting}. Švýcarsko: MDPI, 2023, vol.~5, No~1, p.~153-169. ISSN~2571-9394.