Studies of Credit and Equity Markets with Concepts of Theoretical Physics [recurso electrónico] / by Michael C. Münnix.

Por: Münnix, Michael C [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoEditor: Wiesbaden : Vieweg+Teubner, 2011Descripción: XVII, 173 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783834883285Tema(s): Physics | Physics | Physics, generalFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 530 Clasificación LoC:QC1-75Recursos en línea: Libro electrónicoTexto En: Springer eBooksResumen: Financial markets are becoming increasingly complex. The financial crisis of 2008 to 2009 has demonstrated that an improved understanding of the mechanisms embedded in the market is a key requirement for the estimation of financial risk. Recently, concepts of theoretical physics, in particular concepts of complex systems, have proven to be very useful in this regard. Michael C. Münnix analyses the statistical dependencies in financial markets and develops mathematical models using concepts and methods from physics. The author focuses on aspects that played a key role in the emergence of the recent financial crisis: estimation of credit risk, dynamics of statistical dependencies, and correlations on small time-scales. He visualizes the findings for various large-scale empirical studies of market data. The results give novel insights into the mechanisms of financial markets and allow conclusions on how to reduce financial risk significantly.
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Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos QC1 -75 (Browse shelf(Abre debajo)) 1 No para préstamo 377083-2001

Financial markets are becoming increasingly complex. The financial crisis of 2008 to 2009 has demonstrated that an improved understanding of the mechanisms embedded in the market is a key requirement for the estimation of financial risk. Recently, concepts of theoretical physics, in particular concepts of complex systems, have proven to be very useful in this regard. Michael C. Münnix analyses the statistical dependencies in financial markets and develops mathematical models using concepts and methods from physics. The author focuses on aspects that played a key role in the emergence of the recent financial crisis: estimation of credit risk, dynamics of statistical dependencies, and correlations on small time-scales. He visualizes the findings for various large-scale empirical studies of market data. The results give novel insights into the mechanisms of financial markets and allow conclusions on how to reduce financial risk significantly.

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