Article ID: | iaor201111083 |
Volume: | 62 |
Issue: | 12 |
Start Page Number: | 2097 |
End Page Number: | 2106 |
Publication Date: | Dec 2011 |
Journal: | Journal of the Operational Research Society |
Authors: | Ho C-TB, Liao C-K, Kim H-T |
Keywords: | statistics: data envelopment analysis, finance & banking, investment |
The Internet industry has created a great deal of marvels over the past decade. Assessing Internet companies’ values provides an alternative tool to help make better investment decisions. This paper presents a hybrid of both DEA and multiple valuation methods to valuate Internet companies. Four tailored valuation methods were proposed and a sample of 52 firms was tested based on Price‐to‐Gross Margin ratio. With the focus on the estimation direction (overvalued/undervalued), verified with the real prices, an accuracy rate of approximately 70% on average has been obtained from these four methods. The proposed methods allow investors to have a more accurate estimation of the subject company's current and future stock prices. This implies that the research results could help investors when they are making long‐term or short‐term investments.