2017
DOI: 10.5539/ijef.v9n3p108
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Exploring Corporate Bankruptcy in Belgian Private Firms

Abstract: The main purpose of this paper is to identify the financial antecedents of corporate bankruptcy by employing a robust variable selection procedure. Based on a sample of 1,338 Belgian private firms, a backward stepwise logistic regression technique is employed. The findings indicate that the likelihood of corporate bankruptcy is higher at lower levels of solvency, liquidity and profitability. Furthermore, our results reveal that corporate bankruptcy is more likely in older and larger firms.

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Cited by 3 publications
(5 citation statements)
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References 25 publications
(54 reference statements)
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“…[17]), which is 12% for Cherenkov light and 23% for scintillation light. We note that the KamLAND 17inch PMTs use the same photocathode type with similar quantum efficiency; photocathodes with higher efficiencies are now starting to become better understood theoretically and may become commercially available [18][19][20]. In order to neglect the effect of the transit-time-spread (TTS) of the photodetectors, we use a TTS of 100 ps (σ), which, for example, can be achieved with large area picosecond photodetectors (LAPPDs) [21].…”
Section: Detector Modelmentioning
confidence: 99%
“…[17]), which is 12% for Cherenkov light and 23% for scintillation light. We note that the KamLAND 17inch PMTs use the same photocathode type with similar quantum efficiency; photocathodes with higher efficiencies are now starting to become better understood theoretically and may become commercially available [18][19][20]. In order to neglect the effect of the transit-time-spread (TTS) of the photodetectors, we use a TTS of 100 ps (σ), which, for example, can be achieved with large area picosecond photodetectors (LAPPDs) [21].…”
Section: Detector Modelmentioning
confidence: 99%
“…Ratio analysis of firms has been used to reveal financial health or failure ever since Beaver [48] and Altman [49], meanwhile many studies visited liquidity in this context [50,51,52,53,54] along with the indicators or variables in the recent literature on distress and bankruptcy [55,56,57,58,59,60] and trade credits [61,62] or bank credits [63,64,65] including accounts receivable in a specific sector [66]. However, we have founded a gap therein.…”
Section: Resultsmentioning
confidence: 99%
“…Liquidity is also among the first step indicators for corporate failures [59]. If there occurs any mismatch between current assets and liabilities, the firm is potentially on the spot for a response to the financial distress [53].…”
Section: Resultsmentioning
confidence: 99%
“…In particular, several previous studies indicate that, with various financial ratios, corporate bankruptcy can be predicted with success for at least five years before failure. The choice of the best predictors among the large number of financial indicators suitable for predicting firms" insolvency and bankruptcy has been guided by theoretical background, personal judgment, statistical methods and empirical findings obtained in previous studies (see, among others, Cultrera & Bauweraerts, 2017;Sensini, 2016;Sensini, 2015;Amendola et al, 2015;Jackson & Wood, 2013;Altman, 2000;Zmijewski, 1984). More specifically, the financial ratios considered in the analysis have been chosen on the basis of a few different criteria, that is they have a relevant financial meaning in a failure context, have been commonly used in failure predictions literature and also the information needed to calculate these ratios is available (Sensini, 2015).…”
Section: Evaluation Of Firm Indebtednessmentioning
confidence: 99%
“…Several theoretical and empirical studies have attempted to identify the best predictors among the large number of financial indicators suitable for predicting firms" insolvency and default (see, among others, Cultrera & Bauweraerts, 2017;Sensini, 2016;Sensini, 2015;Amendola et al, 2015;Jackson & Wood, 2013;Altman, 2000;Zmijewski, 1984). Sensini (2015), in particular, shows that the performance of default risk models in terms of forecast accuracy is mainly related to the selection of the best set of predictors.…”
Section: Introductionmentioning
confidence: 99%