Proceedings of the 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019)

Empirical Research on Internet Enterprise Value Evaluation Based on Free Cash Flow

Authors
Zelin Chen, Zhiyuan Jiang
Corresponding Author
Zelin Chen
Available Online May 2019.
DOI
https://doi.org/10.2991/icmete-19.2019.82How to use a DOI?
Keywords
Enterprise value assessment; Free cash flow; Discount model; Jinshan Software
Abstract
Under the background of the continuous development of the global digital economical model, the research on the valuation of Internet enterprises has increasingly attracted scholars' attention. With the drastic change of the Internet industry, the problem of the inability to provide data support for research due to insufficient corporate financial data has gradually been resolved. The discounted free cash flow method is currently the most extensive and theoretically mature method in the field of enterprise value assessment. Its practicability has not been fully proved in the Internet field. The paper uses the free cash flow discount model to estimate the sample enterprise value--taking Jinshan Software as an example, and proves that it is feasible and predictive while using Internet companies as research objects.
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Proceedings
2019 International Conference on Management, Education Technology and Economics (ICMETE 2019)
Part of series
Advances in Economics, Business and Management Research
Publication Date
May 2019
ISBN
978-94-6252-725-6
ISSN
2352-5428
DOI
https://doi.org/10.2991/icmete-19.2019.82How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zelin Chen
AU  - Zhiyuan Jiang
PY  - 2019/05
DA  - 2019/05
TI  - Empirical Research on Internet Enterprise Value Evaluation Based on Free Cash Flow
BT  - 2019 International Conference on Management, Education Technology and Economics (ICMETE 2019)
PB  - Atlantis Press
SP  - 345
EP  - 350
SN  - 2352-5428
UR  - https://doi.org/10.2991/icmete-19.2019.82
DO  - https://doi.org/10.2991/icmete-19.2019.82
ID  - Chen2019/05
ER  -