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T Estimating likelihood of filing a petition for reorganization and bankruptcy: evidence from Finland

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Academic year: 2022

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Estimating likelihood o f filing a petition for reorganization and bankruptcy:

evidence from Finl and

T

he objective of Finnish Company Reorgani- zation Act (FCRA) is to recover a temporal- ly financially distressed but viable firm, that is able to pay its obligations in the future. In Finn- ish Bankruptcy Act (FBA) bankruptcy means that the assets of an unviable firm are liquidated and divided by the creditors of the firm. It is argued that firms filing for FCRA include unviable firms (hypothesis 1). If unviable firms are filing for re- organization, reorganization proceedings be- come inefficient due to increased bureaucracy and costs for stakeholders. It is also argued that firms filing for FBA include viable firms (hypoth- esis 2). This makes proceedings inefficient, be- cause these firms should be reorganized to con- tinue business. Thus, both FCRA and FBA may suffer from filtering failures that impair their ef- ficiency. The first purpose of this study is to test these hypotheses. The hypotheses are tested by logistic regression analysis applied to estimate likelihood of filing for reorganization and bank- ruptcy contrasting reorganizing and bankrupt

firms with viable firms. The second purpose is to test two hypotheses set for the estimated probabilities: 1) pre-filing bankruptcy increases the probability to file a reorganization petition (hypothesis 3) and 2) reorganization increases the probability of bankruptcy (hypothesis 4).

Hypothesis 3 proposes that a distressed firm is likely to file for reorganization when the bank- ruptcy petition is active. Hypothesis 4 implies that firms reorganizing under FCRA show an exceptionally high risk of bankruptcy. The prob- abilities are estimated using data from 47143 non-default (viable) firms, and from 81 and 244 firms filing reorganization or bankruptcy peti- tion, respectively. The results are validated in hold-out samples. Both financial and non-finan- cial variables are used as predictors. Evidence implied that both FCRA and FBA suffer from a filtering failure as argued by hypotheses 1 and 2. At least 50% of the firms filing a petition for reorganization do not share the characteristics of viable firms at all being considered unviable.

In addition, at least 5% of bankrupt firms shared characteristics of typical (median) viable firms, indicating viability. In addition, pre-filing bank- ruptcy remarkably affected the likelihood to reorganize (hypothesis 3). The probability of fil- ing a reorganization petition is more than 50 times higher for a firm that has pre-filed a bank- ruptcy petition than for a similar firm without such a petition. Finally, reorganization had a significant effect on the likelihood to bankrupt (hypothesis 4). The probability of filing a bank- ruptcy petition is about six times higher for a reorganizing firm than for a similar firm not re- organizing. The study thus indicates inefficien- cies in FCRA and FBA leading to a filtering fail- ure. These kinds of inefficiencies can be re- moved firstly by improving relevant legislation and secondly by developing efficient statistical

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E x E c u t i v E s u m m a r i E s

methods to discriminate between viable and unviable firms. These statistical methods can help stakeholders (consultants, courts, lawyers, entrepreneurs, managers) ex ante measure the viability of a firm considering filing a petition for either reorganization or bankruptcy. This study shows that it is possible to develop such efficient methods. 

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