Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/1706
Title: Lagrangian-Dual and Sensitivity Analysis In Portfolio Selection
Authors: Oyewola, David O.
Hakimi, Danladi
Yahaya, Yusuph
Bolarin, Gbolahan
Keywords: Knapsack Problem
Issue Date: Aug-2015
Publisher: African Journal of Computing & ICT
Citation: D.O. Oyewola, D. Hakimi, Y. Yahaya & G. Bolarin (2015), Lagrangian-Dual and Sensitivity Analysis in Portfolio Selection, African Journal of Computing & ICT (Official Publication of the Computer Chapter of the Nigerian Section of the IEEE), Vol 8. No. 2 Issue 2. https://afrjcict.net/wp-content/uploads/2017/08/vol-8-no-2-issue-2-august-2015merged.pdf
Abstract: In this paper, we consider the Lagrangian dual problem in portfolio optimization problems. The Lagrangian dual can be used to solve integer programming in which knapsack problem is one of them. We modelled Knapsack problem as a portfolio problem which consists of health care and oil and gas sector from 2010-2014. We used Lagrangian duality to solve the problem and the Lagrangian multiplier as the sensitivity coefficients.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1706
ISSN: 2006-1781
Appears in Collections:Mathematics

Files in This Item:
File Description SizeFormat 
V8N2-2P19-2015 AJOCICT-Lagrangian-Dual and Sensitivity Analysis In Portfolio Selection (1).pdfhttps://afrjcict.net/wp-content/uploads/2017/08/vol-8-no-2-issue-2-august-2015merged.pdf339.49 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.