The determinants of transitions between different states of financial distress are analyzed using two versions of Markov chain models: a multinomial logit model without random effects and a multinomial logit model capturing such unobservable factors. The empirical analysis is based on a panel...

This paper examines the effects of bank relationships on the likelihood and duration of the decision to file for reorganization for a sample of Taiwanese firms in default. We find that bank relationships significantly influence the likelihood and duration of a firm's decision on filing for...

The purpose of the paper is to point out the accounting-based variables and relationships between them which enable us to measure financial liquidity in a way appropriate for assessing the financial distress risk of companies operating under conditions of a negative Cash Conversion Cycle (CCC)....

This study is intended to identify the predictors of financial distress for the Pakistani firms. Variables used are the financial ratios representing profitability, liquidity, leverage, and cash flows, as well as two important market factors which are size and idiosyncratic standard deviation of...

We explore Lithuanian credit register data and two bank closures to provide a novel estimate of firms' bank-switching costs and a novel identification of the hold-up problem. We show that when a distressed bank's closure forced firms to switch, these firms started borrowing at lower interest...

The financial distress of state-owned enterprises (SOEs) has become the main focus of numerous researchers due to the ongoing financial burden on the state and their inability to secure independent funding. The purpose of this study is to investigate the variables that affect the financial...

We use data on financially distressed Chinese companies in order to study a debt market where property rights are crudely defined and poorly enforced. To help with identification we use an event where a business-friendly province published new guidelines regarding the administration and...

Predicting corporate failure is an important problem in management science. This study tests a new method for predicting corporate failure on a sample of Spanish firms. A GRASP (Greedy Randomized Adaptive Search Procedure) strategy is proposed to use a feature selection algorithm to select a...

We provide comprehensive analysis of the isolation program for financially distressed firms in Romania. The results indicate that the isolation program did not deliver any tangible improvements in operational performance, nor did it enhance the process of privatization or liquidation of large...

The main factors influencing the probability of bankruptcy are analyzed on Czech Republic 1993-1999 firm data. Basic models of the bankruptcy are compared: neoclassical, financial and corporate governance. The corporate governance hypothesis does not receive support in the ownership but the...