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Dynamic portfolio management: An app...

Han, Jiarui.

Dynamic portfolio management: An approximate linear programming approach.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Dynamic portfolio management: An approximate linear programming approach.
作者:	Han, Jiarui.
面頁冊數:	69 p.
附註:	Advisers: Tze Leung Lai; Benjamin Van Roy.
附註:	Source: Dissertation Abstracts International, Volume: 66-08, Section: B, page: 4304.
Contained By:	Dissertation Abstracts International66-08B.
標題:	Statistics.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3186347
ISBN:	9780542285929

Dynamic portfolio management: An approximate linear programming approach.
Han, Jiarui.

Dynamic portfolio management: An approximate linear programming approach. - 69 p.

Advisers: Tze Leung Lai; Benjamin Van Roy.

Thesis (Ph.D.)--Stanford University, 2005.

Portfolio management is one of the central subjects of modern finance. However, in most cases it is difficult to determine optimal strategies for intertemporal portfolio management problems. In this thesis, we formulate a class of intertemporal portfolio management problems in the continuous-time framework, and offer a new computational approach, which we call approximate linear programming, to this class of portfolio problems. We start by deriving the corresponding Hamilton-Jacobi-Bellman equation, and transform it into an equivalent linear program. Since this equivalent linear program is intractable due to an infinite number of constraints, we use basis function approximations and constraint-sampling techniques to obtain a tractable approximating linear program. Finally we present efficient algorithms to solve the approximate linear program. Our approximate linear programming approach has four major features: it scales well with dimensions; it has a priori performance bounds; it can deal with both complete and incomplete markets; and it provides an approximate upper bound on the optimal value. We also present case studies to demonstrate the effectiveness of our algorithm, particularly for large portfolios as illustrated in a 10-dimensional problem.

ISBN: 9780542285929Subjects--Topical Terms:

182057
Statistics.

Dynamic portfolio management: An approximate linear programming approach.
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520 # $a Portfolio management is one of the central subjects of modern finance. However, in most cases it is difficult to determine optimal strategies for intertemporal portfolio management problems. In this thesis, we formulate a class of intertemporal portfolio management problems in the continuous-time framework, and offer a new computational approach, which we call approximate linear programming, to this class of portfolio problems. We start by deriving the corresponding Hamilton-Jacobi-Bellman equation, and transform it into an equivalent linear program. Since this equivalent linear program is intractable due to an infinite number of constraints, we use basis function approximations and constraint-sampling techniques to obtain a tractable approximating linear program. Finally we present efficient algorithms to solve the approximate linear program. Our approximate linear programming approach has four major features: it scales well with dimensions; it has a priori performance bounds; it can deal with both complete and incomplete markets; and it provides an approximate upper bound on the optimal value. We also present case studies to demonstrate the effectiveness of our algorithm, particularly for large portfolios as illustrated in a 10-dimensional problem.
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