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...

Company bankruptcies are an inseparable element of market economy. We may observe the tendency to view bankruptcy as a problem of weak and usually small entities facing problems when trying to meet the challenge posed by strong competition. Big companies, however, also fall, and their bankruptcy...

Several indicators and univariate ratios can be used to measure the soundness of firms as reflected in their balance sheets (leverage, profitability, liquidity ratio, etc.). However, each indicator alone cannot measure a firm's overall financial risk or financial distress level. In this study,...

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...

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...

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...

Most firms deleverage from their historical peak market-leverage (ML) ratios to near-zero ML, while also markedly increasing cash balances to high levels. Among 4,476 nonfinancial firms with five or more years of post-peak data, median ML is 0.543 at the peak and 0.026 at the later trough, with...

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)....