A risk map is a tool, based on various information systems, that aims to identify the activities or processes at risk, quantify the probability of these events and measure the potential damage associated with their occurrence. This kind of map provides three valuable contributions to a Manager:...

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,...

In the era of Basel II a powerful tool for bankruptcy prognosis isvital for banks. The tool must be precise but also easily adaptable tothe bank's objections regarding the relation of false acceptances (TypeI error) and false rejections (Type II error). We explore the suitabil-ity of Smooth...

Purpose – This study develops a non-traditional measure of risk, an Exposure-Based Volatility, for the non-financial company and applies this measure to capture both the downside potential of cash flows and the probability of requiring additional external financing under most foreseeable...

Using a hand-collected executive pension database, we study how both CEO and non-CEO executive compensation structures affect the overall risk of a firm. We accomplish three major objectives: (i) we provide a significant extension of the Sundaram and Yermack (2007) research framework by...

The paper deals firstly with the assessment of nonfinancial firm’s risk exposure which has been deeply affected in the last two decades by the trend of market globalization and increased competition. In this new scenario we can note the weakening of the traditional separation between risks...

El estudio de las disfunciones financieras de las empresas ha sido un tópico común en la investigación a lo largo de las últimas décadas; no obstante, algunos aspectos de los procesos de fracaso han recibido relativamente poca atención. Este trabajo profundiza en su dimensión temporal....

This paper offers an exhaustive analysis of the effectiveness of several models and methodologies that are commonly used to forecast financial failure: Linear, MDA, Logit, and artificial neural network. Our main aim is to evaluate their relative strengths and weaknesses, in terms of technical...

This paper offers an exhaustive analysis of the effectiveness of several models and methodologies that are commonly used to forecast financial failure: Linear, MDA, Logit, and artificial neural network. Our main aim is to evaluate their relative strengths and weaknesses, in terms of technical...

Since 1968, after the development of multivariate model, financial health of the corporate sector to predict their financial failure is heavily studied. Altman Z-Score is the most efficient model to judge the financial failure of the companies. This study uses Altman’s Z-Score and current...