Version 1
: Received: 30 April 2018 / Approved: 2 May 2018 / Online: 2 May 2018 (12:45:53 CEST)
How to cite:
Litavcová, E.; Jenčová, S.; Štefko, R. Models of Forecasting in Financial Analysis of Non-Financial Corporations. Preprints2018, 2018050039. https://doi.org/10.20944/preprints201805.0039.v1
Litavcová, E.; Jenčová, S.; Štefko, R. Models of Forecasting in Financial Analysis of Non-Financial Corporations. Preprints 2018, 2018050039. https://doi.org/10.20944/preprints201805.0039.v1
Litavcová, E.; Jenčová, S.; Štefko, R. Models of Forecasting in Financial Analysis of Non-Financial Corporations. Preprints2018, 2018050039. https://doi.org/10.20944/preprints201805.0039.v1
APA Style
Litavcová, E., Jenčová, S., & Štefko, R. (2018). Models of Forecasting in Financial Analysis of Non-Financial Corporations. Preprints. https://doi.org/10.20944/preprints201805.0039.v1
Chicago/Turabian Style
Litavcová, E., Sylvia Jenčová and Róbert Štefko. 2018 "Models of Forecasting in Financial Analysis of Non-Financial Corporations" Preprints. https://doi.org/10.20944/preprints201805.0039.v1
Abstract
Corporate Diagnosis is now recognized as an important tool by decision makers to predict and correct burgeoning problems that a corporation may face. Methods based on this model stem from the use of mathematics and are increasingly being applied in the analysis of production processes. The goal of this paper is to use a logistic regression to design a scoring model for non-financial corporations in industry. Based on the data obtained from the Registry of the Slovak Republic for 738 non-financial corporations, according to SK NACE 26, SK NACE 27, the proportional financial metrics, using the logistic regression method, were calculated. By applying these methods, two logistic regression models were found to reliably estimate the probability of bankruptcy for a firm.
Keywords
logit analysis; company decline; model
Subject
Business, Economics and Management, Finance
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
