Stochastic Methods in Asset Pricing - Couverture rigide

Lyasoff, Andrew

 
9780262036559: Stochastic Methods in Asset Pricing
Couverture rigide
ISBN 10 : 026203655X ISBN 13 : 9780262036559
Editeur : The MIT Press, 2017

Synopsis

A comprehensive overview of the theory of stochastic processes and its connections to asset pricing, accompanied by some concrete applications.

This book presents a self-contained, comprehensive, and yet concise and condensed overview of the theory and methods of probability, integration, stochastic processes, optimal control, and their connections to the principles of asset pricing. The book is broader in scope than other introductory-level graduate texts on the subject, requires fewer prerequisites, and covers the relevant material at greater depth, mainly without rigorous technical proofs. The book brings to an introductory level certain concepts and topics that are usually found in advanced research monographs on stochastic processes and asset pricing, and it attempts to establish greater clarity on the connections between these two fields.

The book begins with measure-theoretic probability and integration, and then develops the classical tools of stochastic calculus, including stochastic calculus with jumps and Lévy processes. For asset pricing, the book begins with a brief overview of risk preferences and general equilibrium in incomplete finite endowment economies, followed by the classical asset pricing setup in continuous time. The goal is to present a coherent single overview. For example, the text introduces discrete-time martingales as a consequence of market equilibrium considerations and connects them to the stochastic discount factors before offering a general definition. It covers concrete option pricing models (including stochastic volatility, exchange options, and the exercise of American options), Merton's investment–consumption problem, and several other applications. The book includes more than 450 exercises (with detailed hints). Appendixes cover analysis and topology and computer code related to the practical applications discussed in the text.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Andrew Lyasoff is affiliated with the Mathematical Finance Program at Boston University's Questrom School of Business.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
The MIT Press
Date d'édition
2017
Langue
anglais
ISBN 10 
026203655X
ISBN 13 
9780262036559
Reliure
Relié
Nombre de pages
632
Coordonnées du fabricant
non disponible
Personne responsable
non disponible