Full Product Details
Author: Alexander Vollert
Publisher: Birkhauser Boston Inc
Imprint: Birkhauser Boston Inc
Edition: 2003 ed.
Dimensions:
Width: 15.50cm
, Height: 1.80cm
, Length: 23.50cm
Weight: 0.580kg
ISBN: 9780817642587
ISBN 10: 0817642587
Pages: 288
Publication Date: 13 December 2002
Audience:
College/higher education
,
Professional and scholarly
,
Postgraduate, Research & Scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Out of stock
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.
Reviews
"""The book is written in a quite self-contained manner, and gives a nice survey of the results on the subject, old and new. Many graphics are provided along with theoretical illustrations to help explain the materials throughout the book. Numerical analysis as well as simulation are also provided in Chapter 6, which is particularly useful for both academic researchers and real world practitioners. Various examples are provided in the book in order to show the potential of the new framework. …Could also be used as a reference book or as a source of problems for stochastic controlists."" —Mathematical Reviews ""This book is devoted to developing both a stochastic control framework that is capable of dealing with complex real option interactions and a graphical decomposition method for real option models which can be transformed into numerical or analytical solution procedures."" —Zentralblatt Math ""The present book develops a framework of stochastic control for real options. The tools are stochastic impulse control systems leading to partial differential equations and variational inequalities. The book is particularly useful for readers interested in applications in management science."" —Monatshefte für Mathematik "
The book is written in a quite self-contained manner, and gives a nice survey of the results on the subject, old and new. Many graphics are provided along with theoretical illustrations to help explain the materials throughout the book. Numerical analysis as well as simulation are also provided in Chapter 6, which is particularly useful for both academic researchers and real world practitioners. Various examples are provided in the book in order to show the potential of the new framework. !Could also be used as a reference book or as a source of problems for stochastic controlists. --Mathematical Reviews This book is devoted to developing both a stochastic control framework that is capable of dealing with complex real option interactions and a graphical decomposition method for real option models which can be transformed into numerical or analytical solution procedures. --Zentralblatt Math The present book develops a framework of stochastic control for real options. The tools are stochastic impulse control systems leading to partial differential equations and variational inequalities. The book is particularly useful for readers interested in applications in management science. --Monatshefte fur Mathematik
