9780817632199 - handbook of computational and numerical methods in finance (6 Ergebnisse)
Handbook of Numerical Methods in Finance
Rachev, Svetlozar T.; Anastassiou, George A.; Rachev, S.T.; Birkhauser
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 61,14
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Handbook Of Numerical Methods In Finance
Rachev, Svetlozar T.; Anastassiou, George A.; Rachev, S.T.; Birkhauser
- Hardcover
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.
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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
- Hardcover
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EUR 94,86
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Zustand: New. The subject of numerical methods in finance has emerged as a fresh discipline at the intersection of probability theory, finance, and numerical analysis. This volume presents the research and survey articles focusing on various numerical methods in finance. Editor(s): Rachev, Svetlozar T. Num Pages: 444 pages, biog…raphy. BIC Classification: KFF. Category: (G) General (US: Trade). Dimension: 167 x 242 x 32. Weight in Grams: 816. . 2004. 2004th Edition. hardcover. . . . . Books ship from the US and Ireland.
Handbook of Computational and Numerical Methods in Finance
Rachev, Svetlozar T.; Anastassiou, George A.; Rachev, S.T.; Birkhauser
- Hardcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 109,49
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Zustand: Used. pp. 448 Illus.
- Hardcover
Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
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EUR 110,82
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Zustand: Used. pp. 448.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 58,55
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Numerical Methods in Finance have recently emerged as a new discipline at the intersection of probability theory, finance and numerical analysis. They bridge the gap between financial theory and computational practice and provide solutions to problems where… analytical methods are often non-applicable. Numerical methods are more and more used in several topics of financial analy sis: computation of complex derivatives; market, credit and operational risk assess ment, asset liability management, optimal portfolio theory, financial econometrics and others. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored. This volume presents current research focusing on various numerical methods in finance. The contributions cover methodological issues. Genetic Algorithms, Neural Net works, Monte-Carlo methods, Finite Difference Methods, Stochastic Portfolio Opti mization as well as the application of other numerical methods in finance and risk management. As editor, I am grateful to the contributors for their fruitful collaboration. I would particularly like to thankStefan Trueck and Carlo Marinelli for the excellent editorial assistance received over the progress of this project. Thomas Plum did a splendid word-processingjob in preparing the manuscript. lowe much to George Anastassiou (ConsultantEditor, Birkhauser) and Ann Kostant Executive Editor, Mathematics and Physics, Birkhauser for their help and encouragement.
