The vast volume of financial data that exists and the globalization of financial markets create new challenges for researchers and practitioners in economics and finance. Computational data analysis techniques can contribute significantly within this context, by providing a rigorous analytic framework for decision-making and support, in areas such as financial times series analysis and forecasting, risk assessment, trading, asset management, and pricing. The aim of this edited volume is to present, in a unified context, some recent advances in the field, covering the theory, the methodologies, and the applications of computational data analysis methods in economics and finance. The volume consists of papers published in the fifth volume of the Journal of Computational Optimization in Economics and Finance (published by Nova Science Publishers). The contents of this volume cover a wide range of topics, including among others stock market applications, corporate finance, corporate performance, as well as macroeconomic issues.
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