Does the use of big data variables improve the forecast of monetary policy decisions? The case of Mexico

  • Carlos A. Carrasco
  • Gonzalo Garza-Rodríguez
  • Luis Delgado-De-La-Garza
  • Daniel Jacques-Osuna
  • Alejandro Mugica-Lara

Student thesis: Thesis

Abstract

In this BA thesis, we analyse the policy decisions of Banco de Mexico. We implement a probit model using a non-standard variable accounting for market sentiments using big data and text mining.
Date of AwardNov 2019
Original languageEnglish
Awarding Institution
  • Universidad de Monterrey
SupervisorCarlos Alberto Carrasco Sánchez (Supervisor)

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