Sending Firm Messages: Text Mining Letters from PRA Supervisors to Banks and Building Societies They Regulate
57 Pages Posted: 9 Nov 2017 Last revised: 15 Nov 2017
Date Written: October 27, 2017
Abstract
Our paper analyses confidential letters sent from the Bank of England’s Prudential Regulation Authority (PRA) to banks and building societies it supervises. These letters are a ‘report card’ written to firms annually, and are arguably the most important, regularly recurring written communication sent from the PRA to firms it supervises. Using a mix of methods, including a machine learning algorithm called random forests, we explore whether the letters vary depending on the riskiness of the firm to whom the PRA is writing. We find that they do. We also look across the letters as a whole to draw out key topical trends and confirm that topics important on the post-crisis regulatory agenda such as liquidity and resolution appear frequently. And we look at how PRA letters differ from the letters written by the PRA’s predecessor, the Financial Services Authority. We find evidence that PRA letters are different, with a greater abundance of forward-looking language and directiveness, reflecting the shift in supervisory approach that has occurred in the United Kingdom following the financial crisis of 2007–09.
Keywords: Bank of England Prudential Regulation Authority, Banking Supervision, Text Mining, Machine Learning
JEL Classification: C55, C80, E58, G28
Suggested Citation: Suggested Citation