Investigating the rate of company compulsory liquidation in the UK via Bayesian inference and frequentist statistical methods.

Evans, Jeffrey, McGarry, Kenneth and Smith, Peter (2015) Investigating the rate of company compulsory liquidation in the UK via Bayesian inference and frequentist statistical methods. Journal of Business & Economic Policy, 2 (1). ISSN 2375-0766

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Abstract

In this paper, we investigate the rate of company compulsory liquidation (insolvency) (CCL) via Bayesian inference applied with the use of ‘OpenBUGS’ and ‘R’ software mediums. This study follows on from a previous ‘frequentist’ statistical based study of one of the authors and introduces the usefulness of Bayesian inference as the statistical tool. CCL occurs when a company creditor successfully petitions the courts for a winding up order. There are a finite number of variables that can affect the possibility of company creditors instigating CCL. The model in this study included those variables found to be statistically significant within the data range contained in the previous ‘frequentist’ study. We commence by presenting the model from the previous ‘frequentist’ study along with an analysis of the results of that study. We then introduce the concept of Bayesian inference to the study and apply the inference to the ‘frequentist’ model, and analyse the results of the new model. Finally, we then compare the two sets of findings and report our conclusions, and the implications for the modeling of insolvencies.

Item Type: Article
Subjects: Business and Management > Business and Management
Computing > Information Systems
Divisions: Faculty of Technology
Faculty of Technology > School of Computer Science
Depositing User: Kenneth McGarry
Date Deposited: 10 Apr 2015 10:29
Last Modified: 18 Dec 2019 15:37
URI: http://sure.sunderland.ac.uk/id/eprint/5333
ORCID for Kenneth McGarry: ORCID iD orcid.org/0000-0002-9329-9835

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