ISBN: 9781032919393 - nonlinear option pricing (chapman and hall/crc financial mathematics) (2 Ergebnisse)

ISBN: 
Mit der Detailsuche verfeinern

Optimieren Sie Ihre Suche

  • Bücher (2)

  • Neu (2)

bis

Benutzerdefinierte Preisspanne (EUR)

bis

  • Sprache: Englisch

    Verlag: CRC Press, 2024

    1032919396 / 9781032919393

    Serie: Buch 24 von 71 - Chapman and Hall/CRC Financial Mathematics

    • Softcover

    Anbieter: moluna, Greven, Deutschlandmoluna

    Verkäufer/-in mit 5 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Neu

    EUR 68,72

    EUR 48,99 Versand 
    Versand von Deutschland nach USA

    Anzahl: Mehr als 20 verfügbar

    Zustand: New. Julien Guyon, Pierre Henry-LabordereNew Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two lead.

  • Sprache: Englisch

    Verlag: CRC Press Okt 2024, 2024

    1032919396 / 9781032919393

    Serie: Buch 24 von 71 - Chapman and Hall/CRC Financial Mathematics

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

    Verkäufer/-in mit 5 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Neu

    EUR 93,32

    EUR 35,00 Versand 
    Versand von Deutschland nach USA

    Anzahl: 2 verfügbar

    Taschenbuch. Zustand: Neu. Neuware - New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues. Written by two leaders in quantitative research-including Risk magazine's 2013 Quant of the Year-Nonlinear Option Pricing compares various numerical methods for solving high-dimensional nonlinear problems arising in option pricing. Designed for practitioners, it is the first authored book to discuss nonlinear Black-Scholes PDEs and compare the efficiency of many different methods. Real-World Solutions for Quantitative Analysts The book helps quants develop both their analytical and numerical expertise. It focuses on general mathematical tools rather than specific financial questions so that readers can easily use the tools to solve their own nonlinear problems. The authors build intuition through numerous real-world examples of numerical implementation. Although the focus is on ideas and numerical examples, the authors introduce relevant mathematical notions and important results and proofs. The book also covers several original approaches, including regression methods and dual methods for pricing chooser options, Monte Carlo approaches for pricing in the uncertain volatility model and the uncertain lapse and mortality model, the Markovian projection method and the particle method for calibrating local stochastic volatility models to market prices of vanilla options with/without stochastic interest rates, the a + b¿ technique for building local correlation models that calibrate to market prices of vanilla options on a basket, and a new stochastic representation of nonlinear PDE solutions based on marked branching diffusions.…