作者: Juan Murillo Arias , Juan Ramon Garcia , Matías Pacce , Camilo A. Ulloa , Heribert Valero Lapaz
DOI:
关键词: Finance 、 Big data 、 Point of sale 、 Distribution (economics) 、 Debit card 、 Consumption (economics) 、 Transaction data 、 Time series 、 Index (economics) 、 Business
摘要: In this paper we present a high-dimensionality Retail Trade Index (RTI) constructed to nowcast the retail trade sector economic performance in Spain, using Big Data sources and techniques. The data are footprints of BBVA clients from their credit or debit card transactions at Spanish point sale (PoS) terminals. resulting indexes have been found be robust when compared with RTI, regional RTI (Spain’s autonomous regions), by retailer type (distribution classes) published National Statistics Institute (INE). We also went one step further, computing monthly for provinces sectors activity daily general index, obtaining timely, detailed information on sales. Finally, analyzed high-frequency consumption dynamics behavior structural time series model.