heal.abstract
Business failure is one of the most common terms heard today when the current economic crisis
in Greece is brought up. It can be characterised as a company's inability to cope with its
obligations to its creditors, or in other words, its inability to pay its debts. Internal and external
factors such as management efficiency, competitors, and funding ability may all lead to the risk
of bankruptcy.
Indications of a possible corporate bankruptcy are apparent well before the real bankruptcy
takes place. As a result, designing models that forecast imminent financial collapse has become
an important aspect of corporate finance literature in order to assist management in refocusing
their resources, re-evaluating their corporate strategies, and eliminating losses. This work
explores the literature on predicting financial distress and decision making as well as assessing
the probability of bankruptcy based on solvent Greek SMEs during the period 2014 to 2019
via logit analysis.
To do so, we'll look at a sample of bankrupt and non-bankrupt companies, as well as a
collection of economic and financial ratios. These ratios are determined using the data from
the firms' balance sheets and income statements. This financial analysis, which is calculated
using the ratios, is necessary to evaluate how healthy the company is financially, therefore
assisting investors, creditors and managers when predicting favourable situations or economic
difficulties.
In this analysis, a four-variable Logit model developed via a forward-stepwise selection
protocol correctly predicted 83% of 92 matched-samples one year before default.
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