We apply sentiment analysis to Twitter messages in Spanish to build a sentiment risk index for the financial sector in Mexico. We classify a sample of tweets from 2006-2019 to identify messages in response to a positive or negative shock to the Mexican financial sector, relative to merely...

We apply text analysis to Twitter messages in Spanish to build a sentiment- based risk index for the financial sector in Mexico. We classify a sample of tweets for the period 2006-2019 to identify messages in response to positive or negative shocks to the Mexican financial sector. We use a...

Based on a modified version of a model used in Corvoisier and Gropp (2002) and de Guevara et al (2005), we argue that banks' soundness, the structural characteristics and efficiency of the banking sector and the development of the capital markets are forming a financial nexus. For a data set of...