Publications with Big Data & AI

We examine the transmission of monetary policy shocks to the macroeconomy at high frequency. To do this, we build daily consumption and investment aggregates using bank transaction records and leverage administrative data for measures of daily gross output and employment for Spain.

This report presents a novel method to track technological progress in real time using data from ArXiv, the world's most popular preprint repository in computer science, physics and mathematics.

BBVA customers' card spending fell sharply on April 28, 2025, due to the power outage that affected the Iberian Peninsula. In particular, spending by customers residing in the affected areas was 41 percentage points below the average observed on non-holiday Mondays in April 2024.

How the World feels about Trump: Using Artificial Intelligente techniques to understand how the “ World feels Trump” From Text to Numbers.

Using a panel data local projections model and controlling for firm characteristics, procurement bid attributes, and macroeconomic conditions, the study estimates the dynamic effects of procurement awards on new lending, a more precise measure than the change in the stock of credit.

Five weeks after the DANA (December 3–9), most indicators in Valencia province displayed stronger performance than those in the rest of Spain. However, foreign card spending continued to lag behind the national growth rate.

This study examines how inflation in 2021 affected wealth inequality in Spain through three channels: the traditional wealth channel, the income channel, and the relative consumption channel. The wealth and income channels had significantly larger effects than the consumption channel.

Joint project with the IMF to analyze the evolution of e-commerce in Spain during and after Covid. The secular positive trend in e-commerce is well alive. The pandemic's boost was temporary with a moderating trend once the restrictions were lifted. Significant heterogeneity by individuals and categories of consumption

Presentation for the Conference on Real-Time Data Analysis, Methods, and Applications hosted by Bank of Spain. We apply National accounting principles to obtain real-time, high-frequency Big Data consumption indicators with many applications.

We analyze the distribution of greenhouse gas emissions resulting from the consumption of Spanish households, considering spending levels, age, gender, and different types of goods and services. Our approach combines official data, the Input-Output methodology and BBVA data.

We offer a novel methodology combining high frequency card transaction data from BBVA and point-of-sale data from cash operations registered at convenience stores from Frogtek by Clarity AI to study changes in consumption patterns relative to variations in income, including changes in items consumed and payment channel.

Presentation released by BBVA Research at Banca d’Italia and Federal Reserve Board Joint Conference, Nontraditional Data & Statistical Learning with Applications to Macroeconomics.