Agencia Estatal de Investigación
2021-07-01
The companies' investment and financing policies are dynamically interrelated and there is no general consensus about the direction of this relationship. There are theoretical arguments and empirical evidence supporting both possible directions, which makes panel vector autoregressive models an appropriate tool. However, the financial ratios normally used to assess this relationship empirically tend to be asymmetric, and to have extreme outliers and non-linear relationships. The aim of this article is to propose a methodological approach to address these issues by complementing panel vector autoregressive models with compositional data analysis. The usefulness of the proposed methodology is illustrated with real data of Spanish retail companies, while a reanalysis with standard financial ratios is inconclusive
This work was supported by the Spanish Ministry of Science, Innovation and Universities/FEDER [grant number RTI2018–095518–B–C21]; the Spanish Ministry of Health [grant number CIBERCB06/02/1002]; and the Government of Catalonia [grant number 2017SGR656]
Article
Published version
peer-reviewed
English
Anàlisi multivariable; Anàlisi de ratios; Multivariate analysis; Ratio analysis
AIMS Press
info:eu-repo/semantics/altIdentifier/doi/10.3934/QFE.2021025
info:eu-repo/semantics/altIdentifier/issn/2573-0134
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C21/ES/METODOS DEL ANALISIS COMPOSICIONAL DE DATOS/
Reconeixement 4.0 Internacional
http://creativecommons.org/licenses/by/4.0