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Enterprise risk management (ERM) has emerged as a framework for more holistic and integrated risk management with an emphasis on enhanced governance of the risk management system. ERM should theoretically reduce the volatility of cash flows, agency risk and information risk – ultimately...
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via data mining tools. Artificial Neural Networks (ANN) denote a recent development of statistical techniques and … promising tools of data mining and data processing. The current study attempts to develop an artificial neural network model as …
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indicate that policy makers could use scholarly models as validation tools and help improve supervision decision to identify …
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Using unique data of a survey among small and medium-sized German banks, we analyze various aspects of risk management. We especially analyze the effect of a 200-bp increase in the interest level. We find that banks seem to reduce the volatility of their net interest margin by exposing...
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This study examines the impact credit risk management has on the profitability of commercial banks in Nigeria. The main objective of this material is to show how credit risk parameters are related to the expected performance of commercial banks in Nigeria. Using the regression analysis,...
Persistent link: https://www.econbiz.de/10012887677
This paper discusses the role of risk management and corporate governance as causal factors in the onset of the financial crisis. The downturn in the housing and mortgage markets precipitated the first phase of the financial crisis in August 2007 when the solvency of a number of large financial...
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