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     Research Journal of Applied Sciences, Engineering and Technology


Forecasting Liquidation on Stress and Size

Suresh Ramakrishnan, Agha AmadNabi and Melati Ahmad Anuar
Faculty of Management, Universiti Teknologi Malaysia, Malaysia
Research Journal of Applied Sciences, Engineering and Technology   2015  8:827-831
http://dx.doi.org/10.19026/rjaset.11.2091  |  © The Author(s) 2015
Received: May ‎7, ‎2015  |  Accepted: June ‎19, ‎2015  |  Published: November 15, 2015

Abstract

This study explores the effects of stress and size on the authority of Insolvency expectation. Four diverse stress norms are experienced concerning their efficacy in accumulative bankruptcy forecasting prototypes’. They are: 1. Auditor View Measure, 2. Altman Z-score Measure, 3. Zmijewski Probability Measure, 4. Stock Return Measure. The model’s presentation is even enhanced when shaped a different stress measure by uniting Measures 3 besides 4. Furthermore, it has been scrutinized that the outdated perception that greater businesses have are commonly less probable to go insolvent. This study forms an optimistic affiliation among size of the firm and the chances of insolvency for stressed businesses. It has been theorize that size has a significant influence upon the association among the probability of bankruptcy and other bankruptcy predictors. The interface among size and extra forecasters add descriptive influence to bankruptcy prediction models.

Keywords:

Bankruptcy, size , stress,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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