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Big data analysis latest publications

España | El comercio electrónico: un "clic" no es igual para todos

Proyecto conjunto con el FMI para analizar la evolución del comercio electrónico en España a partir del Covid. Se mantiene la tendencia al alza. El impulso de la pandemia fue temporal, con una vuelta a su tendencia una vez se levantaron las restricciones. Importante heterogeneidad por individuos y categorías de consumo.

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October 11, 2021

Big Data techniques used

test Global | The COVID-19 impact on Consumption in Real Time and High Definition: Oct 11t

Consumer spending growth stabilises at August levels in most countries, but with mixed movements by sector of activity. E-commerce maintains the pace of growth in almost all geographies, while the use of cash is losing ground. Spending on services outpaces spending on goods.

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July 8, 2020

Big Data techniques used

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May 7, 2020

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The COVID-19 impact on Consumption in Real Time and High Definition

This is a weekly publication based on high-frequency and high-resolution aggregated and anonymised transaction data from BBVA to analyse the dynamics in real time of expenditure in the countries where BBVA operates during the ongoing COVID-19 pandemic.

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May 6, 2020

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Monitoring Covid-19 pandemic using Big Data from the media

Media stress, positively correlated with new infections, has eased off lately. Sectors’ stresses vary depending on their nature. Politics is the center of the debate. Media stress related to governments diminishes as they start lifting lockdown measures, but there is a bias between the international and the national one.

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April 30, 2020

Big Data techniques used

The COVID-19 impact on Consumption in Real Time and High Definition

This is a weekly publication based on high-frequency and high-resolution aggregated and anonymised transaction data from BBVA to analyse the dynamics in real time of expenditure in the countries where BBVA operates during the ongoing COVID-19 pandemic.

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April 16, 2020

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Tracking the COVID-19 Crisis with High-Resolution Transaction Data

We exploit high-frequency/high-resolution transaction data from BBVA to analyse the dynamics of expenditure in Spain during the ongoing COVID-19 pandemic. We find little shift in expenditure prior to the national lockdown, but then immediate, very large, and sustained expenditure reductions thereafter.

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February 27, 2020

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Monitoring Coronavirus outbreak using Big Data

Monitoring the Coronavirus through the use of the media, social networks and Google searches reveals an increase of social concerns and uncertainty regarding economic policy and an impact on public policy, management and economy. It also shows the most affected industries and the main participants in social media dialogues.

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November 22, 2019

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Spain | Understanding the causes of economic policy uncertainty using Machine Learning

In recent months, the index of economic policy uncertainty has recorded the largest increase since 2012. The decomposition of the index using an algorithm shows that the increase has been due to trade disputes and brexit. In October, domestic uncertainty also rose.

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October 14, 2019

Big Data techniques used

Opportunities and challenges of using big data for policy analysis at BBVA Research

Big data helps us to enrich databases and improve economic indicators, at the same time allow us to understand and represent multidimensional indexes in a simple way. But the use of unstructured and massive data could be a challenge to traditional techniques, making the data treatment a crucial part of the working process.

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December 19, 2016

Forecasting travelers in Spain with Google queries

We examine whether web search queries help economic agents with predictions about the checking in and overnight stays of travelers in Spain in real time. We show that the models including queries outperform models that exclude these leading indicators. In this way, we aim to contribute to the literature on the link between the Internet and the tourism market.

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