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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Matematik
    4. Tillämpad matematik

    Recent Developments In Computational Finance: Foundations, Algorithms And Applications

    AvGERSTNER THOMAS,Peter Kloeden

    Inbunden, Engelska, 2013

    Del 14 i serien Interdisciplinary Mathematical Sciences

    2 655 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Computational finance is an interdisciplinary field which joins financial mathematics, stochastics, numerics and scientific computing. Its task is to estimate as accurately and efficiently as possible the risks that financial instruments generate. This volume consists of a series of cutting-edge surveys of recent developments in the field written by leading international experts. These make the subject accessible to a wide readership in academia and financial businesses.The book consists of 13 chapters divided into 3 parts: foundations, algorithms and applications. Besides surveys of existing results, the book contains many new previously unpublished results.

    Produktinformation

    • Utgivningsdatum:2013-01-22
    • Mått:168 x 249 x 30 mm
    • Vikt:953 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Interdisciplinary Mathematical Sciences
    • Antal sidor:480
    • Förlag:World Scientific Publishing Co Pte Ltd
    • ISBN:9789814436427

    Utforska kategorier

    • Tillämpad matematik inom Naturvetenskap och teknik
    • Finansiering inom Ekonomi och Ledarskap

    Innehållsförteckning

    • Foundations: Multilevel Monte Carlo Methods for Applications in Finance (Mike Giles and Lukasz Szpruch); Convergence of Numerical Methods for SDEs in Finance (Peter Kloeden and Andreas Neuenkirch); Inverse Problems in Finance (J Baumeister); Asymptotic and Non Asymptotic Approximations for Option Valuation (R Bompis and E Gobet); Algorithms: Discretization of Backward Stochastic Volterra Integral Equations (Christian Bender and Stanislav Pokalyuk); Semi-Lagrangian Schemes for Parabolic Equations (Kristian Debrabant and Espen Robstad Jakobsen); Derivative-Free Weak Approximation Methods for Stochastic Differential Equations (Kristian Debrabant and Andreas Roβler); Wavelet Solution of Degenerate Kolmogoroff Forward Equations (Oleg Reichmann and Christoph Schwab); Randomized Multilevel Quasi-Monte Carlo Path Simulation (Thomas Gerstner and Marco Noll); Applications: Drift-Free Simulation Methods for Pricing Cross-Market Derivatives with LMM (J L Fernandez, M R Nogueiras, M Pou and C Vazquez); Application of Simplest Random Walk Algorithms for Pricing Barrier Options (M Krivko and M V Tretyakov); Coupling Local Currency Libor Models to FX Libor Models (John Schoenmakers); Dimension-Wise Decompositions and Their Efficient Parallelization (Philipp Schroder, Peter Mlynczak and Gabriel Wittum).
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