Proceedings of the 2017 International Conference on Education, Culture and Social Development (ICECSD 2017)

Assessing enterprises' value with Monte Carlo Simulation: In Application of Microsoft Excel

Authors
Qingfan Hu, Xiao Wan, Manlian Yu, Zheming Lu
Corresponding Author
Qingfan Hu
Available Online January 2017.
DOI
10.2991/icecsd-17.2017.19How to use a DOI?
Keywords
Assessing Enterprise's Value; Microsoft Excel ;Monte Carlo Model
Abstract

Assessing enterprise's value can either be a conventional project operation or a company investment that allows managers to effectively improve their business decisions in order to maximize enterprise values.However,traditional methods that can be used for accessing enterprise's value neglect the uncertainty of parameters.So in this case , the paper introduce Monte Carlo simulation ,solves the problem by which traditional models

Copyright
© 2017, 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 2017 International Conference on Education, Culture and Social Development (ICECSD 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2017
ISBN
10.2991/icecsd-17.2017.19
ISSN
2352-5398
DOI
10.2991/icecsd-17.2017.19How to use a DOI?
Copyright
© 2017, 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  - Qingfan Hu
AU  - Xiao Wan
AU  - Manlian Yu
AU  - Zheming Lu
PY  - 2017/01
DA  - 2017/01
TI  - Assessing enterprises' value with Monte Carlo Simulation: In Application of Microsoft Excel
BT  - Proceedings of the 2017 International Conference on Education, Culture and Social Development (ICECSD 2017)
PB  - Atlantis Press
SP  - 89
EP  - 92
SN  - 2352-5398
UR  - https://doi.org/10.2991/icecsd-17.2017.19
DO  - 10.2991/icecsd-17.2017.19
ID  - Hu2017/01
ER  -