Financial condition indices for emerging market economies: Can Google help?

Fabrizio Ferriani and Andrea Giovanni Gazzani

Economics Letters, 2022, vol. 216, issue C

Abstract: We compare alternative approaches to construct financial condition indices (FCIs) for major emerging market economies (EMEs). We further test whether measures of web-search intensity for keywords related to financial tensions can complement the informative content of traditional financial variables. We find that an index constructed as a simple average of key financial variables augmented with data from google searches outperforms several alternative definitions of FCIs to explain business cycle fluctuations and capital flows episodes. These results survive when controlling for proxies of the global financial cycle, highlighting that local financial markets conditions are important for the macroeconomic performance in EMEs.

Keywords: Financial condition index; Emerging markets; Google search; Principal component analysis; VAR; Quantile regressions (search for similar items in EconPapers)
JEL-codes: C51 E44 F30 G01 G15 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:216:y:2022:i:c:s0165176522001410

DOI: 10.1016/j.econlet.2022.110528

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