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

Author

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  • García, Juan R.
  • Pacce, Matías
  • Rodrigo, Tomasa
  • Ruiz de Aguirre, Pep
  • Ulloa, Camilo A.

Abstract

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.

Suggested Citation

  • García, Juan R. & Pacce, Matías & Rodrigo, Tomasa & Ruiz de Aguirre, Pep & Ulloa, Camilo A., 2021. "Measuring and forecasting retail trade in real time using card transactional data," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1235-1246.
    • Handle: RePEc:eee:intfor:v:37:y:2021:i:3:p:1235-1246
    DOI: 10.1016/j.ijforecast.2021.02.005
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    Cited by:

    1. Buda, Gergely & Carvalho, Vasco & Hansen, Stephen & Ortiz, Alvaro & Rodrigo, Tomasa & Rodríguez Mora, José V, 2022. "National Accounts in a World of Naturally Occurring Data: A Proof of Concept for Consumption," CEPR Discussion Papers 17519, C.E.P.R. Discussion Papers.
    2. Juan D. Borrero & Jesus Mariscal, 2021. "Deterministic Chaos Detection and Simplicial Local Predictions Applied to Strawberry Production Time Series," Mathematics, MDPI, vol. 9(23), pages 1-18, November.
    3. Ludmila Fadejeva & Boriss Siliverstovs & Karlis Vilerts & Anete Brinke, 2022. "Consumer Spending in the Covid-19 Pandemic: Evidence from Card Transactions in Latvia," Discussion Papers 2022/01, Latvijas Banka.
    4. Tomas Adam & Jan Belka & Martin Hluze & Jakub Mateju & Hana Prause & Jiri Schwarz, 2023. "Ace in Hand: The Value of Card Data in the Game of Nowcasting," Working Papers 2023/14, Czech National Bank.
    5. Anete Brinke & Ludmila Fadejeva & Boriss Siliverstovs & Kārlis Vilerts, 2023. "Assessing the informational content of card transactions for nowcasting retail trade: Evidence for Latvia," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 566-577, April.

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