This paper presents a comprehensive review of the work done, during the 1968–2005, in the
application of statistical and intelligent techniques to solve the bankruptcy prediction …

The fact that 92% of the world's 500 largest companies recently reported using derivatives
suggests that corporate managers believe financial risk management can increase …

In this paper, we examine the predictability of the cross-section of bank stock returns by
taking advantage of the unique set of industry characteristics that prevail in the financial …

In this article, the authors analyze the derivatives holdings of US insurers to empirically
investigate the general hypotheses developed in the financial literature to explain why …

This paper presents a soft computing based bank performance prediction system. It is an
ensemble system whose constituent models are a multi-layered feed forward neural network …

This article examines the role played by derivatives in determining the interest rate
sensitivity of bank holding companies'(BHCs) common stock, controlling for the influence of …

At the turn of the century, regulators introduced policies to control bank risk-taking. Many
banks appointed chief risk officers (CROs), yet bank holdings of new, complex, and untested …

This study compares the ability of discriminant analysis, neural networks, and professional
human judgment methodologies in predicting commercial bank underperformance …

This study aims to analyse the relationship between risk management practices and
financial performance in the Islamic banks in Malaysia. In achieving this objective, the study …

Project financing can be traced back to the medieval times 1 when in the 12 th century the
British Crown negotiated with Frescobaldi (an Italian merchant bank of that time) a loan for …