José Luis Gallizo
;
Pilar Gargallo
;
Manuel Salvador
You're currently viewing an old version of this dataset. To see the current version, click here.

multivariate partial adjustment of financial ratios: a bayesian hierarchical approach (replication data)

In this paper we propose a multivariate extension of the partial adjustment model of financial ratios. To that end, we use a dynamic factor model which assumes that financial ratios measuring, essentially, the same economic-financial dimension of the firm evolve in a similar way, reflecting the evolution of the common factor. The proposed model is hierarchical with three levels. The first describes the relationship between each ratio and its common factor; the second describes the evolution of the common factors over time by means of Lev's (1969) partial adjustment model; and the third analyzes the similarity of firms' adjustment coefficients, taking into account their characteristics. The methodology is applied to the analysis of a set of financial ratios related to the business and financial structure of the firm.

Data and Resources

This dataset has no data

Suggested Citation

Gallizo, José Luis; Gargallo, Pilar; Salvador, Manuel (2008): Multivariate partial adjustment of financial ratios: a Bayesian hierarchical approach (replication data). Version: 1. Journal of Applied Econometrics. Dataset. https://jda-test.zbw.eu/dataset/multivariate-partial-adjustment-of-financial-ratios-a-bayesian-hierarchical-approach?activity_id=512237d8-ca5f-400c-86ce-4ad5d37fd983