Tracking chinese vulnerability in real time using Big Data
Published on Monday, May 8, 2017 | Updated on Sunday, May 13, 2018
Document number 17/13
Tracking chinese vulnerability in real time using Big Data
Summary
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.
Topics
- Topic Tags
- Regional Analysis China
- Macroeconomic Analysis
Tags
Authors
Carlos Casanova
Alvaro Ortiz
BBVA Research - Head of Analysis with Big Data
Tomasa Rodrigo
BBVA Research - Lead Economist
Le Xia
BBVA Research - Chief Economist
Joaquín Iglesias
Documents and files
Report (PDF)
Tracking-Chinese-Vulnerability-in-Real-Time-Using-Big-Data_Bank-of-England_Oct2017
English - May 8, 2017