U.S. Banking Sector Risk in an Era of Regulatory Change: A Bivariate GARCH Approach

Byline: Robert D. Brooks (1), Robert W. Faff (1), Michael D. McKenzie (1), Yew Kee Ho (2) Keywords: GARCH; beta; stochastic dominance; U.S. bank regulation Abstract: This paper assesses the impact of regulatory change on the risk and returns of the U.S. banking industry. The impact of five major regulatory changes on banking sector risk was assessed using daily data for eighteen major U.S. regional banks, money center banks and savings and loan type depository institutions. Risk in this case was proxied via the use of an M-GARCH model which generates time dependent conditional beta estimates. The evidence obtained suggests that the impact of deregulation and reregulation on banking sector risk is case specific. Further, the results obtained show that the market model incorporating dummy variables, which has proven so popular amongst existing studies, discards important information about the variability of beta which the time varying conditional betas capture. Author Affiliation: (1) Department of Economics and Finance, RMIT University, GPO Box 2476V, Melbourne, Victoria, 3001, Australia (2) Graduate School of Industrial Administration, Carnegie Mellon University, Pittsburgh, PA, 15213, USA Article History: Registration Date: 08/10/2004