Tracking chinese vulnerability in real time using Big Data
Publicada el lunes, 8 de mayo de 2017 | Actualizada el domingo, 13 de mayo de 2018
Documento número 17/13
Tracking chinese vulnerability in real time using Big Data
Resumen
We develop an indicator to track vulnerability sentiment in China. In order to ensure robustness and depth, we use a combination of traditional macroeconomic and financial time series with textual analysis using Big Data techniques.The index is composed by the following dimensions: state owned enterprises; shadow banking; housing market bubble and exchange rate market.
Temáticas
- Etiquetas de Temática
- Análisis Regional China
- Análisis Macroeconómico
Etiquetas
- Etiquetas
- Riesgo
- Política monetaria
- Política fiscal
- Big Data
Autores
Carlos Casanova
Alvaro Ortiz
BBVA Research - Responsable de Análisis con Big Data
Tomasa Rodrigo
BBVA Research - Economista Líder
Le Xia
BBVA Research - Economista Jefe
Joaquín Iglesias
Documentos y archivos
Informe (PDF)
Tracking-Chinese-Vulnerability-in-Real-Time-Using-Big-Data_Bank-of-England_Oct2017
Inglés - 8 de mayo de 2017