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Risk is always an important factor of our daily life activities. We encounter different kinds of risk factors every day. In finance, risk can be defined as the degree of uncertainty about future net return. This book is mainly divided into two parts. The first part is considering the effects of macroeconomic factors on credit risk banking as follows: Economic growth, rate of inflation, volume of money, exchange rate, and stock price index, credit risk of banks and profitability, loans to deposit, capital rate, and size of bank (assets). In the second part we have creating a new model for credit risk in banks by using artificial neural network (ANN) and evaluate the model for developing countries. This paper addresses especially to those who want to consolidate their credit risk management knowledge for the purpose of discerning in the complexity of the financial world and to understand the ways by which they can optimize the investments financing and to manage risks they face in their activity.