Computational Finance: A Scientific Perspective (Paperback). Este artículo no está disponible.
Idioma: inglés
Editorial: World Scientific Publishing Co Pte Ltd, Singapore, 2000
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- Nuevo

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Paperback. Computational finance deals with the mathematics of computer programs that realize financial models or systems. This book outlines the epistemic risks associated with the current valuations of different financial instruments and discusses the corresponding risk management strategies. It covers most of the research and practical areas in computational finance. Starting from traditional fundamental analysis and using algebraic and geometric tools, it is guided by the logic of science to explore information from financial data without prejudice. In fact, this book has the unique feature that it is structured around the simple requirement of objective science: the geometric structure of the data = the information contained in the data. Los (U. of Adelaide, Australia) evaluates the epistemic risks associated with valuations of different financial instruments and relates them to risk management strategies. Arguing that in most areas of computational finance, expositions start with philosophical assumptions and force the data into as Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
N° de ref. del artículo 9789810244972
- Título
- Computational Finance: A Scientific Perspective (Paperback)
- Autor
- Cornelis A. Los
- Editorial
- World Scientific Publishing Co Pte Ltd, Singapore
- Año de publicación
- 2000
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 9810244975
- ISBN 13
- 9789810244972
Computational finance deals with the mathematics of computer programs that realize financial models or systems. This book outlines the epistemic risks associated with the current valuations of different financial instruments and discusses the corresponding risk management strategies. It covers most of the research and practical areas in computational finance. Starting from traditional fundamental analysis and using algebraic and geometric tools, it is guided by the logic of science to explore information from financial data without prejudice. In fact, this book has the unique feature that it is structured around the simple requirement of objective science: the geometric structure of the data = the information contained in the data.
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