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Optimal Investment de L. C. G. Rogers

Optimal Investment: SpringerBriefs in Quantitative Finance

Autor L. C. G. Rogers
en Limba Engleză Paperback – 9 ian 2013
Readers of this book will learn how to solve a wide range of optimal investment problems arising in finance and economics.
Starting from the fundamental Merton problem, many variants are presented and solved, often using numerical techniques
that the book also covers. The final chapter assesses the relevance of many of the models in common use when applied to data.
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Specificații

ISBN-13: 9783642352010
ISBN-10: 3642352014
Pagini: 168
Ilustrații: X, 156 p. 44 illus., 3 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.24 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria SpringerBriefs in Quantitative Finance

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

Cuprins

Preface.- The Merton Problem.- Variations.- Numerical Solution.- How Well Does It Work.- Index.- References.

Recenzii

From the book reviews:
“This short book would be an excellent supplementary text for a course in quantitative finance or useful to researchers or practitioners looking for an overview of one of the foundations of modern quantitative finance.” (IEEE Control Systems Magazine, October, 2013)
“This book first focuses on the classical Merton problems and presents a range of techniques for solving optimal investment/consumption problems. … I really enjoyed reading this book. … it would be very helpful to students and researchers who are interested in financial engineering, corporate finance and asset pricing, and it would be worth keeping the book on their shelves.” (Zhaojun Yang, Mathematical Reviews, September, 2013)

Textul de pe ultima copertă


Readers of this book will learn how to solve a wide range of optimal investment problems arising in finance and economics.
Starting from the fundamental Merton problem, many variants are presented and solved, often using numerical techniques
that the book also covers. The final chapter assesses the relevance of many of the models in common use when applied to data.

Caracteristici

Presents the main methods for solving stochastic optimal control problems arising in finance Through a large number of worked problems, illustrates how to use a combination of analytic and numerical techniques to actually find a solution even when none is available in closed form Critiques the usefulness of theory in the light of stylized facts of asset return Includes supplementary material: sn.pub/extras