Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,54
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Editore: Birkhäuser Boston, Birkhäuser Boston Jun 2004, 2004
ISBN 10: 0817632190 ISBN 13: 9780817632199
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -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.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 448 pp. Englisch.
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Birkhäuser Boston, Birkhäuser Boston, 2004
ISBN 10: 0817632190 ISBN 13: 9780817632199
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,55
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Aggiungi al carrelloBuch. Condizione: 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.
Da: Majestic Books, Hounslow, Regno Unito
EUR 66,08
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 67,15
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 67,92
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Da: Chiron Media, Wallingford, Regno Unito
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 444 pages. 9.25x6.10x1.01 inches. In Stock.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 92,89
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Da: Basi6 International, Irving, TX, U.S.A.
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Aggiungi al carrelloDura. Condizione: New. Condizione sovraccoperta: Nuevo. No Aplica (illustratore). 1. The subject of numerical methods in finance has recently emerged as a new discipline at the intersection of probability theory, finance, and numerical analysis. The methods employed bridge the gap between financial theory and computational practice, and provide solutions for complex problems that are difficult to solve by traditional analytical methods. 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 and survey articles focusing on various numerical methods in finance. 760 gr. Libro.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: ALLBOOKS1, Direk, SA, Australia
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Editore: Oxford University Press OUP, 2018
ISBN 10: 0199844372 ISBN 13: 9780199844371
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 124,87
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Da: Majestic Books, Hounslow, Regno Unito
EUR 126,48
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 148,96
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 152,40
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EUR 148,22
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 148,93
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Editore: Oxford University Press|OUP USA, 2018
ISBN 10: 0199844372 ISBN 13: 9780199844371
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 169,71
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Aggiungi al carrelloCondizione: New. This is an insightful survey of approaches to computational analysis of economics and finance.The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and ac.
EUR 172,18
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 172,98
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Editore: Oxford University Press Inc, New York, 2018
ISBN 10: 0199844372 ISBN 13: 9780199844371
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 166,22
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. Itthen moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, andfuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future ofcomputational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis. This is an insightful survey of approaches to computational analysis of economics and finance. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.