Bankruptcy risk model and empirical tests

Bankruptcy risk model and empirical tests.

We analyze the size dependence and temporal stability of firm bankruptcy risk in the US economy by applying Zipf scaling techniques. We focus on a single risk factor--the debt-to-asset ratio R--in order to study the stability of the Zipf distribution of R over time. We find that the Zipf exponent increases during market crashes, implying that firms go bankrupt with larger values of R. Based on ...

The Prediction Model for Bankruptcy Risk by Bayesian Method

The importance of predicting bankruptcy risk of firms is increasing because of later financial crisis. Despite practical researchers trying to present models for predicting this risk, it seems that an optimum and acceptable model that is reliable for financial statement users and auditors in order to increase their ability in decision making and professional judgment has not been presented yet....

Bankruptcy and risk allocation.

Designing and Presenting a Model for Determining the Risk (Bankruptcy) of Bankruptcy of Banks and Non-Bank Credit Institutions Based on Differential (Diagnostic) Analysis

This article aims to model the credit default assessment of banks and non-bank credit institutions by differential analysis (diagnostic). For this purpose, the statistical sample size has been determined through the "screening sampling method". The researcher collects observations by sampling members of the statistical community. The purpose of the study, which includes all "banks and credit in...

Risk-Based Capital and Solvency Screening: Hypotheses and Empirical Tests

This paper is a substantially revised and extended version of a preliminary paper presented at the 1993 ARIA Meeting in San Francisco. This research was funded in part by the National Association of Insurance Commissioners. The conclusions expressed here are the authors' and do not necessarily reflect the opinion of the National Association of Insurance Commissioners. Introduction The National ...