Predictive Capability of Financial Ratios for Forecasting of Corporate Bankruptcy: Corporate Bankruptcy: Reasons and Recovery Strategies - Brossura

Islam, Md Saiful

 
9781636480039: Predictive Capability of Financial Ratios for Forecasting of Corporate Bankruptcy: Corporate Bankruptcy: Reasons and Recovery Strategies
Brossura
ISBN 10: 1636480039 ISBN 13: 9781636480039
Casa editrice: Eliva Press, 2020

Sinossi

Bankruptcy of a business firm is an event which results substantial losses to creditors and stockholders. A model which is capable of predicting an upcoming business failure will serve as a very useful tool to reduce such losses by providing warning to the interested parties. This was the main motivation for Beaver (1966) and Altman (1968) to construct bankruptcy prediction models based on the financial data (Deakin 1972). This research study also initiated with a great interest on this subject to investigate the predictive capability of financial ratios for forecasting of corporate distress and bankruptcy events. This study is expounded on similar previous studies by Altman (1968), Ohlson (1980), Beaver (1966) by examining the effectiveness of financial ratios for predicting of corporate distress. The logistics regression analysis (LRA) statistical method is used to scan the risk factors from the previous financial year data and prediction models are constructed which can reasonably classify the expected bankruptcy group and can reasonably predict the solvency status of a firm. The research has been focused on the USA companies only. A set of bankrupted and non-bankrupted company financial data are used for constructing the bankruptcy prediction model and then a second set of bankrupted and non-bankrupted company financial data has been used to test the classification accuracy of the constructed models. The result of this study is consistent with the previous bankruptcy prediction researches outcomes. This study also investigates the time factor implication of bankruptcy prediction models using 5 years financial ratios.

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Editore
Eliva Press
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
1636480039
ISBN 13 
9781636480039
Rilegatura
Copertina flessibile
Numero di pagine
75
Contatto del produttore
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