RT info:eu-repo/semantics/article T1 An alternative approach to predicting bank credit risk in Europe with Google data A1 González Fernández, Marcos A1 González Velasco, María del Carmen A2 Economia Financiera y Contabilidad K1 Finanzas K1 Sentiment index K1 Google data K1 Credit risk K1 Credit default swaps K1 Europa AB The aim of this paper is to construct an alternative approach based on a sentiment index to measure bank credit risk in European countries using an alternative approach instead of traditional measures. Specifically, we use Google data for a set of keywords related to bank credit risk to capture investor sentiment. The resulting index shows a great similarity to traditional indexes based on bank CDS. The out-of-sample analysis demonstrates that our sentiment index is helpful for predicting bank credit risk during periods of financial distress, since it enhances the accuracy of the estimations. PB Elsevier SN 1544-6123 LK http://hdl.handle.net/10612/13184 UL http://hdl.handle.net/10612/13184 NO 6 p. DS BULERIA. Repositorio Institucional de la Universidad de León RD 28-mar-2024