A study on the relationship between corporate governance and pricing for initial public offerings: The application of artificial neural networks

Chei Chang Chiou; Wang Sen-Wei

doi:10.1007/978-3-642-14616-9_14

A study on the relationship between corporate governance and pricing for initial public offerings: The application of artificial neural networks

Chei Chang Chiou, Wang Sen-Wei

Department of Accounting

Research output: Contribution to journal › Article › peer-review

Abstract

The purpose of this study is to investigate the relationship between corporate governance and pricing for initial public offerings (IPOs). Empirical result finds that the prediction of pricing of IPOs with corporate governance added can have a rather higher degree of predicting accuracy than that of non governance added during the training and testing samples. Therefore, it can be observed that corporate governance mechanism can affect the pricing of IPOs.

Original language	English
Pages (from-to)	153-162
Number of pages	10
Journal	Smart Innovation, Systems and Technologies
Volume	4
DOIs	https://doi.org/10.1007/978-3-642-14616-9_14
Publication status	Published - 2010 Dec 1

All Science Journal Classification (ASJC) codes

Decision Sciences(all)
Computer Science(all)

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