Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Mean-Variance Model for Optimal Multinational Project Adjustment and Selection

Authors
Xiaoli Su, Xiaoxia Huang
Corresponding Author
Xiaoli Su
Available Online March 2013.
DOI
10.2991/iccsee.2013.710How to use a DOI?
Keywords
project selection, project adjustment, capital budgeting, multinational, uncertain parameters
Abstract

This paper discusses the multinational project adjustment and selection problem in which project parameters are regarded as random variables. In the paper, adjustment of foreign existing projects and selection of the new foreign projects are considered simultaneously. Typical cash flows and value sources of foreign projects are introduced and a mean-variance optimal multinational adjustment and selection model is proposed. As an illustration, a numerical example is also presented.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.710
ISSN
1951-6851
DOI
10.2991/iccsee.2013.710How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoli Su
AU  - Xiaoxia Huang
PY  - 2013/03
DA  - 2013/03
TI  - Mean-Variance Model for Optimal Multinational Project Adjustment and Selection
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2845
EP  - 2848
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.710
DO  - 10.2991/iccsee.2013.710
ID  - Su2013/03
ER  -