Abstract
The investment is often coupled with the valuation. Before taking action, the decision that how to value an investment underlying is a scientific process. Usually, this work is heavily done and associated with an intangible value. Hence, somewhat in reality, the valuation and investment are also an artistic work.
This study, using Taiwaneese quarterly data from 1992 to 2001, examines whether the RIV Model and Ohlson(1995) Model are applicable and valid in different industries. Both the RIV Model that equates the market value of a firm¡¦s equity to book value plus the present value of expected abnormal earnings and Ohlson(1995) Model which links the RIV with a linear information dynamic equation of abnormal earnings are accounting-based valuation Model.
An emperical results show that the RIV Model is the best suitable for traditional industry, the Ohlson(1995) valuation Model is the best suitable for financial company, and the modified Model developed in this study is suitable for information technology industry. The implications implyed by this study are summarily as the followings¡G
1. Traditional Industry has stepped into mature or falling phase, and will be difficult to have abnormal earnings. The stock price can be explained largely by its book value. The forecasting value and terminal value are comparatively not so important. So the influence of predictive bias becomes less, and the accuracy of estimating intrinsic value will be higher than other industries. Therefore, RIV Model is comparatively suitable for the traditional industry.
2. Financial industry has been a mature one and its turnover is stable. The consecutive mutual relationship of the abnormal earnings is the highest among three industry from experimentation. The difference between RIV and Ohlson Valuation Model is that the latter derived from RIV connected with abnormal earning linear dynamic function, so financial industry is more suitable for Ohlson valuation model.
3. Information Technology Industry is in its growing phase. The turnover is too volatile, so ex-period market information (P-BV)t-1 must be added to acquire a better explanation power of the model. Therefore, The valuation model developed in this research is suitable for IT Industry.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0826102-154747 |
| Date | 26 August 2002 |
| Creators | Shen, Ning-Wei |
| Contributors | Henry Y. Lo, Miao-Ling Chen, Chau-Jung Kuo |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0826102-154747 |
| Rights | withheld, Copyright information available at source archive |
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