Computational Techniques for Banking and Risk Management
Michael Doumpos, Constantin Zopounidis
NOVA Publishers, 2013
The last decades have been strongly characterized by vertiginous technological, social and economic changes. Those changes have in part positively affected our lives; however they also led to an increasing uncertainty and instability at every field of human activity. In addition, the interdependence and the interrelationship among various fields and especially between the global financial markets have created a fragile environment, which requires delicate handling and attentive movements. Thus the complexity of the systems considered in every field, nowadays, more than ever, needs the skillful manipulation of the known methodologies and techniques for the best management.
Research and development give emphasis on the computational optimization as an essential, critical component. At every field of human activity, optimization is more than important. Everybody tries to optimize, minimize or maximize the cost, profit, efficiency, output. In the area of economics and finance, simple and more complex tools have been created towards this direction. Different methodologies and analytical techniques have been developed to analyze a vast number of problems such as risk management, asset pricing, portfolio construction, forecasting, interest rate modeling, capital measurement, efficiency estimation, investment evaluation, business failure, etc.
This volume aims to highlight some of the aforementioned aspects, referring to methodologies and applications to computational economics and finance, and it is consisted of papers published in the third volume of the Journal of Computational Optimization in Economics and Finance.
The contents of this volume are varying, covering a wide range of topics, such as credit risk simulation, capital measurement methods, bank efficiency, cash withdrawals forecasting, service quality evaluation, among others.
Further information about the book is available here.