A dynamic stochastic programming model for bond portfolio management
A dynamic stochastic programming model for bond portfolio management
In this paper we develop a dynamic stochastic programming model for bond portfolio management. A new risk measurement-shortfall cost is put forward. It allows more tangible expression of the risks that the decision makers face than does the traditional risk measure-variance of terminal wealth. We also adopt the interest rate model of Black et al. to generate scenarios of riskless short rates at future periods. An example of bond portfolio management is presented to illustrate that our model dominates the usual fixed-mix model.
bond portfolio management, stochastic programming, scenario generation
876-883
Springer Berlin, Heidelberg
Yu, L.
26837fa4-602b-4366-b6e4-0b48297474c7
Wang, S.
8bce5bdb-420c-4b22-b009-8f4ce1febaa8
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
June 2004
Yu, L.
26837fa4-602b-4366-b6e4-0b48297474c7
Wang, S.
8bce5bdb-420c-4b22-b009-8f4ce1febaa8
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Yu, L., Wang, S., Wu, Y. and Lai, K.K.
(2004)
A dynamic stochastic programming model for bond portfolio management.
Dang, X.
(ed.)
In Lecture Notes in Computer Science.
Springer Berlin, Heidelberg.
.
(doi:10.1007/b98005).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this paper we develop a dynamic stochastic programming model for bond portfolio management. A new risk measurement-shortfall cost is put forward. It allows more tangible expression of the risks that the decision makers face than does the traditional risk measure-variance of terminal wealth. We also adopt the interest rate model of Black et al. to generate scenarios of riskless short rates at future periods. An example of bond portfolio management is presented to illustrate that our model dominates the usual fixed-mix model.
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Published date: June 2004
Additional Information:
Also published in:
Computational Science - ICCS 2004: 4th International Conference, Kraków, Poland, June 6-9, 2004, Proceedings, Part IV
Editors: Marian Bubak, Geert Dick van Albada, Peter M. A. Sloot, Jack J. Dongarra
ISBN: 3-540-22129-8
Venue - Dates:
4th International Conference Kraków, Poland, June 6-9, 2004 Proceedings, Part IV, Kraków, Poland, 2004-06-01
Keywords:
bond portfolio management, stochastic programming, scenario generation
Organisations:
Management
Identifiers
Local EPrints ID: 36304
URI: http://eprints.soton.ac.uk/id/eprint/36304
PURE UUID: ce045dd9-c24e-4064-95c8-9e6fceea6e22
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Date deposited: 25 May 2006
Last modified: 16 Mar 2024 03:39
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Contributors
Author:
L. Yu
Author:
S. Wang
Author:
K.K. Lai
Editor:
X. Dang
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