The Early Predictor of IPO Underpricing
| Autor: | Kai-hsuan Hsu, 許凱旋 |
|---|---|
| Rok vydání: | 2007 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 95 The special features of this paper are as follows: first, Try to revise over paper about Indicators of IPO Underpricing that the parameter is weighed. Revise into the data that investors can get before offering date. After Revising, we analysis on IPO underpricing. Second, Using Quantile Regression (QR) method should help to solve the limitation if using Ordinal Least Square (OLS). The findings of this paper has ability of the early predictor about IPO underpricing. According to predicting the range is distinguished, market momentum is superior to market volatility to superior to changing rate of offer price. When IPO underpricing is higher, changing rate of offer price is stronger the prediction result to IPO underpricing. We also find company''s financial data do not have function of the leading indicator on IPO underpricing. The reason that they would carry on the movements of the window dressing to the financial statement before listed. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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