Tracking chinese vulnerability in real time using Big Data

Carlos Casanova, Alvaro Ortiz, Tomasa Rodrigo, Le Xia and Joaquín Iglesias

No 17/13, Working Papers from BBVA Bank, Economic Research Department

Abstract: 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.

Keywords: Asia; China; Economic Analysis; Regional Analysis; Watch; Working Paper (search for similar items in EconPapers)
JEL-codes: C38 C43 C55 D81 (search for similar items in EconPapers)
Date: 2017-05
New Economics Papers: this item is included in nep-cna, nep-pay and nep-tra
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Citations: View citations in EconPapers (2)

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