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The speed of adjustment of financial ratios: A hierarchical Bayesian approach using mixtures
Authors:Pilar Gargallo  Manuel Salvador  José Luis Gallizo
Affiliation:1. Department of Statistical Methods, Faculty of Economics and Business Studies, University of Zaragoza, Spain;2. Department of Business Administration, Faculty of Economics, University of Lleida, Spain
Abstract:This paper presents a hierarchical Bayesian analysis of the partial adjustment model of financial ratios using mixture models, an approach that allows us to estimate the distribution of the adjustment coefficients. More particularly, it enables us to analyse speed of reaction in the presence of shocks affecting financial ratios objectives as a basis to establish homogenous groups of firms. The proposed methodology is illustrated by examining a set of ratios for a sample of firms operating in the U.S. manufacturing sector. Copyright © 2007 John Wiley & Sons, Ltd.
Keywords:financial ratios  MCMC methods  hierarchical Bayesian analysis  mixture models  autoregressive models  partial adjustment model
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