"This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction and...

The recent financial crisis has raised several questions with respect to the corporate governance of financial institutions. This paper investigates whether risk management-related corporate governance mechanisms, such as for example the presence of a chief risk officer (CRO) in a bank's...

A firm's termination leads to bankruptcy costs. This may create an incentive for outside stakeholders or the firm's debtholders to bail out the firm as bankruptcy looms. Because of this implicit guarantee, firm shareholders have an incentive to increase volatility in order to exploit the...

The primary aim of the study was to assess the performance of Ghanaian banks using the CAMELS rating model. The model is an acronym for capital adequacy, assets quality, management efficiency, earning, liquidity, and sensitivity. The rating is based on ratio analysis of the financial statements...

The 2004 Basel II accord requires internationally active banks to hold regulatory capital for operational risk, and the Federal Reserve's Comprehensive Capital Analysis and Review (CCAR) requires banks to project operational risk losses under stressed scenarios. As a result, banks subject to...