Computational data analysis techniques in economics and finance /

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 framewo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Doumpos, Michael, Zopounidis, Constantin, Gaganis, Chrysovalantis
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Publishers, [2015]
Colección:Studies in financial optimization and risk management.
Temas:
Economics > Statistical methods.
Finance > Statistical methods.
Quantitative research.
Économie politique > Méthodes statistiques.
Finances > Méthodes statistiques.
Recherche quantitative.
BUSINESS & ECONOMICS > Economics > General.
BUSINESS & ECONOMICS > Reference.
Quantitative research
Finance > Statistical methods
Economics > Statistical methods
Business forecasting > Methodology
Economic forecasting > Methodology
Acceso en línea:Texto completo
Descripción
Sumario: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,
Notas:Includes bibliographical references and index.
Descripción Física:1 online resource.
Bibliografía:Includes bibliographical references and index.
ISBN:9781634639576
163463957X
1560720174
9781560720171

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