Normal view MARC view ISBD view

Optimal Investment [electronic resource] / by L. C. G. Rogers.

By: Rogers, L. C. G [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Quantitative Finance: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: X, 156 p. 44 illus., 3 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642352027.Subject(s): Mathematics | Finance | Numerical analysis | Mathematical optimization | Mathematics | Quantitative Finance | Finance/Investment/Banking | Numerical Analysis | Calculus of Variations and Optimal Control; OptimizationDDC classification: 519 Online resources: Click here to access online
Contents:
Preface -- The Merton Problem -- Variations -- Numerical Solution -- How Well Does It Work -- Index -- References.
In: Springer eBooksSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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

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.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue