Optimal Portfolios: Stochastic Models For Optimal Investment And Risk Management In Continuous Time
Author:   Ralf Korn (Univ Kaiserslautern, Germany)
Publisher:   World Scientific Publishing Co Pte Ltd
ISBN:  

9789810232153


Pages:   352
Publication Date:   03 December 1997
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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Optimal Portfolios: Stochastic Models For Optimal Investment And Risk Management In Continuous Time


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Author:   Ralf Korn (Univ Kaiserslautern, Germany)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Dimensions:   Width: 16.10cm , Height: 2.40cm , Length: 23.00cm
Weight:   0.635kg
ISBN:  

9789810232153


ISBN 10:   9810232152
Pages:   352
Publication Date:   03 December 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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""This book provides not only a survey of the continuous-time porfolio selection theory, but also can be recommended to those who want to obtain a quick overview about methods of portfolio theory. Because of its friendly and inviting style, parts of this book are also suitable as a first introduction to this theory for those not familiar with stochastic analysis."" Metrika, 1999


This book provides not only a survey of the continuous-time porfolio selection theory, but also can be recommended to those who want to obtain a quick overview about methods of portfolio theory. Because of its friendly and inviting style, parts of this book are also suitable as a first introduction to this theory for those not familiar with stochastic analysis. Metrika, 1999


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