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Portfolio Optimization under Partial Information [Paperback]

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Item Number 217587  
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Item description for Portfolio Optimization under Partial Information by Wolfgang Putschögl...

This book deals with portfolio optimization under partial information. We consider an investor who can invest in a money market and a stock market. For our intended application a good model for the drift is of uttermost importance. We assume that the investor can only observe the stock prices but not the drift process; hence he has only partial information. The investor's objective is to maximize the expected utility of consumption and/or terminal wealth under partial information. We derive an explicit representation of the optimal consumption and trading strategies using Malliavin calculus. We show that the results apply to both classical models for the drift process, linear Gaussian dynamics and a continuous time Markov chain with finitely many states. We discuss several problems which might arise and how to overcome them, e.g. by dynamic risk constraints or non-constant volatility models. The results are applied to historical prices and yield promising results. The book is aimed at graduate students and researches interested in portfolio optimization under partial information.

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Item Specifications...

Pages   128
Est. Packaging Dimensions:   Length: 9.61" Width: 6.69" Height: 0.27"
Weight:   0.48 lbs.
Binding  Softcover
Release Date   Feb 14, 2008
Publisher   VDM Verlag Dr. Mueller e.K.
ISBN  3836461641  
ISBN13  9783836461641  

Availability  62 units.
Availability accurate as of May 29, 2017 02:56.
Usually ships within one to two business days from La Vergne, TN.
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Product Categories

1Books > Subjects > Business & Investing > Economics > General
2Books > Subjects > Business & Investing > General
3Books > Subjects > Business & Investing > Investing > General

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