ANN models, to compare the classification performance, discriminant and logistic regression models are employed …. Comparison of classification performance of ANN, discriminant and logistic regression models yield that ANN outperforms other …

English Abstract: The need for the management of the oldest but less known risk, namely the operational risk has grown … after the well-known high impact operational loss events occurred during the 1990's. Management of the operational risk is … management of this risk. Although operational risk and its management is a new concept for Turkish banking system, existing …

English Abstract: For operational risk management, the existence of qualified and analytically tractable data, and … management system is the construction of an operational risk database. In the development process of an operational risk database … phases are immensely important. The implementation phase is the phase where actual performance of the database is tested …

English Abstract: In Turkish banking system, efforts on developing operational risk management systems face significant … management system. Modern operational risk management requires banks identify, quantify and measure risks before taking any risk … management measures. Efforts on establishing an operational risk management system along with technical studies should start with …

English Abstract: The existence of relevant and reliable data is a prerequisite for the measurement and management of …

English Abstract: In recent years, risk management has turned out to be the key factor that determines the existence of … financial institutions. Operational risk has become the main topic of risk management agenda especially after the occurrence of … operational risk is a generally accepted approach to the development of an operational risk management discipline.Basel Committee …