Computational Methods for Quantitative Finance: Finite Element Methods for Derivative Pricing (Springer Finance) - Softcover

Hilber, Norbert; Reichmann, Oleg; Schwab, Christoph; Winter, Christoph

Softcover

ISBN 10: 3642435327 ISBN 13: 9783642435324

Verlag: Springer, 2015

Inhaltsangabe

Many mathematical assumptions on which classical derivative pricing methods are based have come under scrutiny in recent years. The present volume offers an introduction to deterministic algorithms for the fast and accurate pricing of derivative contracts in modern finance. This unified, non-Monte-Carlo computational pricing methodology is capable of handling rather general classes of stochastic market models with jumps, including, in particular, all currently used Lévy and stochastic volatility models. It allows us e.g. to quantify model risk in computed prices on plain vanilla, as well as on various types of exotic contracts. The algorithms are developed in classical Black-Scholes markets, and then extended to market models based on multiscale stochastic volatility, to Lévy, additive and certain classes of Feller processes. 

This book is intended for graduate students and researchers, as well as for practitioners in the fields of quantitative finance and applied and computational mathematics with a solid background in mathematics, statistics or economics.​

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. Norbert Hilber ist promovierter Mathematiker, Senior Lecturer an der Zürcher Hochschule für Angewandte Wissenschaften und unterrichtet Bachelor- sowie Masterstudierende in Mathematik, Statistik und quantitative Finance, hier hauptsächlich Portfolio-Theorie, Derivate, Numerik, Monte-Carlo Simulation, Programmierung in Matlab und Python. Zudem f.orscht und publiziert er im Bereich der Numerik zu Finanzderivaten.

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Many mathematical assumptions on which classical derivative pricing methods are based have come under scrutiny in recent years. The present volume offers an introduction to deterministic algorithms for the fast and accurate pricing of derivative contracts in modern finance. This unified, non-Monte-Carlo computational pricing methodology is capable of handling rather general classes of stochastic market models with jumps, including, in particular, all currently used Lévy and stochastic volatility models. It allows us e.g. to quantify model risk in computed prices on plain vanilla, as well as on various types of exotic contracts. The algorithms are developed in classical Black-Scholes markets, and then extended to market models based on multiscale stochastic volatility, to Lévy, additive and certain classes of Feller processes.

The volume is intended for graduate students and researchers, as well as for practitioners in the fields of quantitative finance and applied and computational mathematics with a solid background in mathematics, statistics or economics.​

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2015
• Sprache: Englisch
• ISBN 10: 3642435327
• ISBN 13: 9783642435324
• Einband: Taschenbuch
• Anzahl der Seiten: 316
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland