Coop UQAM | Coopsco

Créer mon profil | Mot de passe oublié?

Magasiner par secteur

Matériel obligatoire et recommandé

Voir les groupes
Devenir membre

Nos partenaires

UQAM
ESG UQAM
Réseau ESG UQAM
Bureau des diplômés
Centre sportif
Citadins
Service de la formation universitaire en région
Université à distance
Société de développement des entreprises culturelles - SODEC
L'institut du tourisme et de l'hotellerie - ITHQ
Pour le rayonnement du livre canadien
Presses de l'Université du Québec
Auteurs UQAM : Campagne permanente de promotion des auteures et auteurs UQAM
Fondation de l'UQAM
Écoles d'été en langues de l'UQAM
Canal savoir
L'économie sociale, j'achète
Millénium Micro



Recherche avancée...

Mathematical Finance : Theory, Modeling, Implementation

Fries, Christian


Éditeur : JOHN WILEY & SONS (IEEE)
ISBN papier: 9780470047224
Parution : 2007
Code produit : 1134615
Catégorisation : Livres / Science / Mathématique / Actuariat et mathématiques financières

Formats disponibles

Format Qté. disp. Prix* Commander
Livre papier En rupture de stock** Prix membre : 143,21 $
Prix non-membre : 153,99 $
x

*Les prix sont en dollars canadien. Taxes et frais de livraison en sus.
**Ce produits est en rupture de stock mais sera expédié dès qu'ils sera disponible.




Description

This is a balanced introduction to the theoretical foundations and real-world applications of mathematical finance. The ever-growing use of derivative products makes it essential for financial industry practitioners to have a solid understanding of derivative pricing. To cope with the growing complexity, narrowing margins, and shortening life-cycle of the individual derivative product, an efficient, yet modular, implementation of the pricing algorithms is necessary. "Mathematical Finance" is the first book to harmonize the theory, modeling, and implementation of today's most prevalent pricing models under one convenient cover. Building a bridge from academia to practice, this self-contained text applies theoretical concepts to real-world examples and introduces state-of-the-art, object-oriented programming techniques that equip the reader with the conceptual and illustrative tools needed to understand and develop successful derivative pricing models. Utilizing almost twenty years of academic and industry experience, the author discusses the mathematical concepts that are the foundation of commonly used derivative pricing models, and insightful motivation and interpretation sections for each concept are presented to further illustrate the relationship between theory and practice. In-depth coverage of the common characteristics found amongst successful pricing models are provided in addition to key techniques and tips for the construction of these models. The opportunity to interactively explore the book's principal ideas and methodologies is made possible via a related web site that features interactive Java experiments and exercises. While a high standard of mathematical precision is retained, "Mathematical Finance" emphasizes practical motivations, interpretations, and results and is an excellent textbook for students in mathematical finance, computational finance, and derivative pricing courses at the upper undergraduate or beginning graduate level. It also serves as a valuable reference for professionals in the banking, insurance, and asset management industries.