During the last decade, the increase in computational capacity, the consolidation of new data processing methodologies and the availability of access to new information concerning both individuals and organizations, aided by the widespread internet usage, has increased the development and...

Technological development particularly boosted by artificial intelligence (AI) has substantial potential to transform many aspects of human lives and the way doing businesses. On the one side, it can offer opportunities, while on the other brings challenges and increases risks. Financial...

Risk management is one of the most important branches of business and finance. Classification models are the most popular and widely used analytical group of data mining approaches that can greatly help financial decision makers and managers to tackle credit risk problems. However, the...

There is an increasing influence of machine learning in business applications, with many solutions already implemented and many more being explored. Since the global financial crisis, risk management in banks has gained more prominence, and there has been a constant focus around how risks are...

"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...