Portfolio optimization with different information flow:

Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic optimization theory and the enlargement filtration theory. The authors apply the theory of the enlargement of filtrations and solve the optimization problem. Two main types of en...

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Bibliographic Details
Main Authors: Hillairet, Caroline (Author), Jiao, Ying (Author)
Format: Electronic eBook
Language:English
Published: London [England] ISTE Press Ltd 2017
Series:Optimization in insurance and finance set
Subjects:
Online Access:FAW01
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Summary:Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic optimization theory and the enlargement filtration theory. The authors apply the theory of the enlargement of filtrations and solve the optimization problem. Two main types of enlargement of filtration are discussed: initial and progressive, using tools from various fields, such as from stochastic calculus and convex analysis, optimal stochastic control and backward stochastic differential equations. This theoretical and numerical analysis is applied in different market settings to provide a good basis for the understanding of portfolio optimization with different information flow
Item Description:Includes bibliographical references (pages 165-173) and index
Physical Description:1 online resource (192 pages)
ISBN:0081011776
9780081011775

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