Measuring and forecasting retail trade in real time using card transactional data

We build big data retail trade indicators for Spain using high-dimensional card transaction data from one of the country’s biggest banks. The resulting indicators replicate the dynamics of the Spanish retail trade indices (RTI), regional RTIs (Spain’s autonomous regions), and RTI by retailer type (d...

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Veröffentlicht in:International journal of forecasting 2021-07, Vol.37 (3), p.1235-1246
Hauptverfasser: García, Juan R., Pacce, Matías, Rodrigo, Tomasa, Ruiz de Aguirre, Pep, Ulloa, Camilo A.
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Sprache:eng
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Zusammenfassung:We build big data retail trade indicators for Spain using high-dimensional card transaction data from one of the country’s biggest banks. The resulting indicators replicate the dynamics of the Spanish retail trade indices (RTI), regional RTIs (Spain’s autonomous regions), and RTI by retailer type (distribution classes) released by the Spanish National Statistics Institute. The new indicators not only have a higher frequency (daily data) and higher geographical and sectorial breakdown but are also shown to improve nowcasting and forecasting power for the official RTI, making them key variables to monitor consumption.
ISSN:0169-2070
1872-8200
DOI:10.1016/j.ijforecast.2021.02.005